diff --git a/release/observatory--0.0.4.sql b/release/observatory--0.0.4.sql
new file mode 100644
index 0000000..8a95394
--- /dev/null
+++ b/release/observatory--0.0.4.sql
@@ -0,0 +1,1752 @@
+--DO NOT MODIFY THIS FILE, IT IS GENERATED AUTOMATICALLY FROM SOURCES
+-- Complain if script is sourced in psql, rather than via CREATE EXTENSION
+\echo Use "CREATE EXTENSION observatory" to load this file. \quit
+-- Version number of the extension release
+CREATE OR REPLACE FUNCTION cdb_observatory_version()
+RETURNS text AS $$
+  SELECT '0.0.4'::text;
+$$ language 'sql' STABLE STRICT;
+
+-- Internal identifier of the installed extension instence
+-- e.g. 'dev' for current development version
+CREATE OR REPLACE FUNCTION _cdb_observatory_internal_version()
+RETURNS text AS $$
+  SELECT installed_version FROM pg_available_extensions where name='observatory' and pg_available_extensions IS NOT NULL;
+$$ language 'sql' STABLE STRICT;
+
+-- Returns the table name with geoms for the given geometry_id
+-- TODO probably needs to take in the column_id array to get the relevant
+-- table where there is multiple sources for a column from multiple
+-- geometries.
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GeomTable(
+  geom geometry(Geometry, 4326),
+  geometry_id text,
+  time_span text DEFAULT NULL
+)
+  RETURNS TEXT
+AS $$
+DECLARE
+  result text;
+BEGIN
+  EXECUTE '
+    SELECT tablename FROM observatory.OBS_table
+    WHERE id IN (
+      SELECT table_id
+      FROM observatory.OBS_table tab,
+           observatory.OBS_column_table coltable,
+           observatory.OBS_column col
+      WHERE type ILIKE ''geometry''
+        AND coltable.column_id = col.id
+        AND coltable.table_id = tab.id
+        AND col.id = $1
+        AND CASE WHEN $3::TEXT IS NOT NULL THEN timespan ILIKE $3::TEXT ELSE TRUE END
+      ORDER BY timespan DESC LIMIT 1
+    )
+    '
+  USING geometry_id, geom, time_span
+  INTO result;
+
+  return result;
+
+END;
+$$ LANGUAGE plpgsql;
+
+
+
+-- A function that gets the column data for multiple columns
+-- Old: OBS_GetColumnData
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetColumnData(
+  geometry_id text,
+  column_ids text[],
+  timespan text
+)
+RETURNS SETOF JSON
+AS $$
+BEGIN
+
+  -- figure out highest-weight geometry_id/timespan pair for the first data column
+  -- TODO this should be done for each data column separately
+  IF geometry_id IS NULL OR timespan IS NULL THEN
+    EXECUTE '
+      SELECT data_t.timespan timespan, geom_c.id boundary_id
+      FROM observatory.obs_table data_t,
+           observatory.obs_column_table data_ct,
+           observatory.obs_column data_c,
+           observatory.obs_column_table geoid_ct,
+           observatory.obs_column_to_column c2c,
+           observatory.obs_column geom_c
+      WHERE data_c.id = $2
+           AND data_ct.column_id = data_c.id
+           AND data_ct.table_id = data_t.id
+           AND geoid_ct.table_id = data_t.id
+           AND geoid_ct.column_id = c2c.source_id
+           AND c2c.reltype = ''geom_ref''
+           AND geom_c.id = c2c.target_id
+           AND CASE WHEN $3 IS NULL THEN True ELSE $3 = timespan END
+           AND CASE WHEN $1 IS NULL THEN True ELSE $1 = geom_c.id END
+      ORDER BY geom_c.weight DESC,
+               data_t.timespan DESC
+      LIMIT 1
+    ' INTO timespan, geometry_id
+    USING geometry_id, (column_ids)[1], timespan;
+  END IF;
+
+  RETURN QUERY
+  EXECUTE '
+  WITH geomref AS (
+    SELECT ct.table_id id
+    FROM observatory.OBS_column_to_column c2c,
+         observatory.OBS_column_table ct
+    WHERE c2c.reltype = ''geom_ref''
+      AND c2c.target_id = $1
+      AND c2c.source_id = ct.column_id
+    ),
+  column_ids as (
+    select row_number() over () as no, a.column_id as column_id from (select unnest($2) as column_id) a
+  )
+ SELECT row_to_json(a) from (
+   select  colname,
+            tablename,
+            aggregate,
+            name,
+            type,
+            c.description,
+            $1 AS boundary_id
+           FROM column_ids, observatory.OBS_column c, observatory.OBS_column_table ct, observatory.OBS_table t
+           WHERE column_ids.column_id  = c.id
+             AND c.id = ct.column_id
+             AND t.id = ct.table_id
+             AND t.timespan = $3
+             AND t.id in (SELECT id FROM geomref)
+          order by column_ids.no
+    ) a
+ '
+ USING geometry_id, column_ids, timespan
+ RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+
+--Test point cause Stuart always seems to make random points in the water
+CREATE OR REPLACE FUNCTION cdb_observatory._TestPoint()
+  RETURNS geometry(Point, 4326)
+AS $$
+BEGIN
+  -- new york city
+  RETURN ST_SetSRID(ST_Point( -73.936669, 40.704512), 4326);
+END;
+$$ LANGUAGE plpgsql;
+
+--Test polygon cause Stuart always seems to make random points in the water
+-- TODO: remove as it's not used anywhere?
+CREATE OR REPLACE FUNCTION cdb_observatory._TestArea()
+  RETURNS geometry(Geometry, 4326)
+AS $$
+BEGIN
+  -- Buffer NYC point by 500 meters
+  RETURN ST_Buffer(cdb_observatory._TestPoint()::geography, 500)::geometry;
+
+END;
+$$ LANGUAGE plpgsql;
+
+--Used to expand a column based response to a table based one. Give it the desired
+--columns and it will return a partial query for rolling them out to a table.
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_BuildSnapshotQuery(names text[])
+RETURNS TEXT
+AS $$
+DECLARE
+  q text;
+  i numeric;
+BEGIN
+
+  q := 'SELECT ';
+
+  FOR i IN 1..array_upper(names,1)
+  LOOP
+    q = q || format(' vals[%s] As %I', i, names[i]);
+    IF i < array_upper(names, 1) THEN
+      q= q || ',';
+    END IF;
+  END LOOP;
+  RETURN q;
+
+END;
+$$ LANGUAGE plpgsql;
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetRelatedColumn(columns_ids text[], reltype text )
+RETURNS TEXT[]
+AS $$
+DECLARE
+  result TEXT[];
+BEGIN
+  EXECUTE '
+    With ids as (
+      select row_number() over() as no, id from (select unnest($1) as id) t
+    )
+    select array_agg(target_id order by no)
+    FROM  ids
+    LEFT JOIN observatory.obs_column_to_column
+    on  source_id  = id
+    where reltype = $2 or reltype is null
+  '
+  INTO result
+  using columns_ids, reltype;
+  return result;
+END;
+$$ LANGUAGE plpgsql;
+
+-- Function that replaces all non digits or letters with _ trims and lowercases the
+-- passed measure name
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_StandardizeMeasureName(measure_name text)
+RETURNS text
+AS $$
+DECLARE
+  result text;
+BEGIN
+  -- Turn non letter or digits to _
+  result = regexp_replace(measure_name, '[^\dA-Za-z]+','_', 'g');
+  -- Remove duplicate _'s
+  result = regexp_replace(result,'_{2,}','_', 'g');
+  -- Trim _'s from beginning and end
+  result = trim(both  '_' from result);
+  result = lower(result);
+  RETURN result;
+END;
+$$ LANGUAGE plpgsql;
+
+--For Longer term Dev
+
+
+--Break out table definitions to types
+--Automate type creation from a script, something like
+----CREATE OR REPLACE FUNCTION OBS_Get<%=tag_name%>(geom GEOMETRY)
+----RETURNS TABLE(
+----<%=get_dimensions_for_tag(tag_name)%>
+----AS $$
+----DECLARE
+----target_cols text[];
+----names text[];
+----vals NUMERIC[];-
+----q text;
+----BEGIN
+----target_cols := Array[<%=get_dimensions_for_tag(tag_name)%>],
+
+
+--Functions for augmenting specific tables
+--------------------------------------------------------------------------------
+
+-- Creates a table of demographic snapshot
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetDemographicSnapshot(geom geometry(Geometry, 4326),
+  time_span text DEFAULT NULL,
+  boundary_id text DEFAULT NULL)
+RETURNS SETOF JSON
+AS $$
+  DECLARE
+  target_cols text[];
+  BEGIN
+
+  IF time_span IS NULL THEN
+    time_span = '2010 - 2014';
+  END IF;
+
+  IF boundary_id IS NULL THEN
+    boundary_id = 'us.census.tiger.block_group';
+  END IF;
+
+  target_cols := Array['us.census.acs.B01003001',
+                  'us.census.acs.B01001002',
+                  'us.census.acs.B01001026',
+                  'us.census.acs.B01002001',
+                  'us.census.acs.B03002003',
+                  'us.census.acs.B03002004',
+                  'us.census.acs.B03002006',
+                  'us.census.acs.B03002012',
+                  'us.census.acs.B03002005',
+                  'us.census.acs.B03002008',
+                  'us.census.acs.B03002009',
+                  'us.census.acs.B03002002',
+                  --'not_us_citizen_pop',
+                  --'workers_16_and_over',
+                  --'commuters_by_car_truck_van',
+                  --'commuters_drove_alone',
+                  --'commuters_by_carpool',
+                  --'commuters_by_public_transportation',
+                  --'commuters_by_bus',
+                  --'commuters_by_subway_or_elevated',
+                  --'walked_to_work',
+                  --'worked_at_home',
+                  --'children',
+                  'us.census.acs.B11001001',
+                  --'population_3_years_over',
+                  --'in_school',
+                  --'in_grades_1_to_4',
+                  --'in_grades_5_to_8',
+                  --'in_grades_9_to_12',
+                  --'in_undergrad_college',
+                  'us.census.acs.B15003001',
+                  'us.census.acs.B15003017',
+                  'us.census.acs.B15003019',
+                  'us.census.acs.B15003020',
+                  'us.census.acs.B15003021',
+                  'us.census.acs.B15003022',
+                  'us.census.acs.B15003023',
+                  --'pop_5_years_over',
+                  --'speak_only_english_at_home',
+                  --'speak_spanish_at_home',
+                  --'pop_determined_poverty_status',
+                  --'poverty',
+                  'us.census.acs.B19013001',
+                  'us.census.acs.B19083001',
+                  'us.census.acs.B19301001',
+                  'us.census.acs.B25001001',
+                  'us.census.acs.B25002003',
+                  'us.census.acs.B25004002',
+                  'us.census.acs.B25004004',
+                  'us.census.acs.B25058001',
+                  'us.census.acs.B25071001',
+                  'us.census.acs.B25075001',
+                  'us.census.acs.B25075025',
+                  'us.census.acs.B25081002',
+                  --'pop_15_and_over',
+                  --'pop_never_married',
+                  --'pop_now_married',
+                  --'pop_separated',
+                  --'pop_widowed',
+                  --'pop_divorced',
+                  'us.census.acs.B08134001',
+                  'us.census.acs.B08134002',
+                  'us.census.acs.B08134003',
+                  'us.census.acs.B08134004',
+                  'us.census.acs.B08134005',
+                  'us.census.acs.B08134006',
+                  'us.census.acs.B08134007',
+                  'us.census.acs.B08134008',
+                  'us.census.acs.B08134009',
+                  'us.census.acs.B08134010',
+                  'us.census.acs.B08135001',
+                  'us.census.acs.B19001002',
+                  'us.census.acs.B19001003',
+                  'us.census.acs.B19001004',
+                  'us.census.acs.B19001005',
+                  'us.census.acs.B19001006',
+                  'us.census.acs.B19001007',
+                  'us.census.acs.B19001008',
+                  'us.census.acs.B19001009',
+                  'us.census.acs.B19001010',
+                  'us.census.acs.B19001011',
+                  'us.census.acs.B19001012',
+                  'us.census.acs.B19001013',
+                  'us.census.acs.B19001014',
+                  'us.census.acs.B19001015',
+                  'us.census.acs.B19001016',
+                  'us.census.acs.B19001017'];
+    RETURN QUERY
+    EXECUTE
+    'select * from cdb_observatory._OBS_Get($1, $2, $3, $4 )'
+    USING geom, target_cols, time_span, boundary_id
+    RETURN;
+END;
+$$ LANGUAGE plpgsql;
+
+
+--Base functions for performing augmentation
+----------------------------------------------------------------------------------------
+
+-- Base augmentation fucntion.
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_Get(
+  geom geometry(Geometry, 4326),
+  column_ids text[],
+  time_span text,
+  geometry_level text
+)
+RETURNS SETOF JSON
+AS $$
+DECLARE
+  results json[];
+  geom_table_name text;
+  names text[];
+  query text;
+  data_table_info json[];
+BEGIN
+
+  EXECUTE
+  'SELECT array_agg(_obs_getcolumndata)
+   FROM cdb_observatory._OBS_GetColumnData($1, $2, $3);'
+  INTO data_table_info
+  USING geometry_level, column_ids, time_span;
+
+  IF geometry_level IS NULL THEN
+    geometry_level = data_table_info[1]->>'boundary_id';
+  END IF;
+
+  geom_table_name := cdb_observatory._OBS_GeomTable(geom, geometry_level);
+
+  IF geom_table_name IS NULL
+  THEN
+     RAISE NOTICE 'Point % is outside of the data region', ST_AsText(geom);
+      -- TODO this should return JSON
+     RETURN QUERY SELECT '{}'::json;
+     RETURN;
+  END IF;
+
+  IF data_table_info IS NULL THEN
+    RAISE NOTICE 'Cannot find data table for boundary ID %, column_ids %, and time_span %', geometry_level, column_ids, time_span;
+  END IF;
+
+  IF ST_GeometryType(geom) = 'ST_Point'
+  THEN
+    RAISE NOTICE 'geom_table_name %, data_table_info %', geom_table_name, data_table_info::json[];
+    results := cdb_observatory._OBS_GetPoints(geom,
+                                              geom_table_name,
+                                              data_table_info);
+
+  ELSIF ST_GeometryType(geom) IN ('ST_Polygon', 'ST_MultiPolygon')
+  THEN
+    results := cdb_observatory._OBS_GetPolygons(geom,
+                                                geom_table_name,
+                                                data_table_info);
+  END IF;
+
+  RETURN QUERY
+  EXECUTE
+  $query$
+    SELECT unnest($1)
+  $query$
+  USING results;
+  RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+
+
+-- If the variable of interest is just a rate return it as such,
+--  otherwise normalize it to the census block area and return that
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetPoints(
+  geom geometry(Geometry, 4326),
+  geom_table_name text, -- TODO: change to boundary_id
+  data_table_info json[]
+)
+RETURNS json[]
+AS $$
+DECLARE
+  result NUMERIC[];
+  json_result json[];
+  query text;
+  i int;
+  geoid text;
+  data_geoid_colname text;
+  geom_geoid_colname text;
+  area NUMERIC;
+BEGIN
+
+  -- TODO we're assuming our geom_table has only one geom_ref column
+  --      we *really* should pass in both geom_table_name and boundary_id
+  -- TODO tablename should not be passed here (use boundary_id)
+  EXECUTE
+    format('SELECT ct.colname
+              FROM observatory.obs_column_to_column c2c,
+                   observatory.obs_column_table ct,
+                   observatory.obs_table t
+             WHERE c2c.reltype = ''geom_ref''
+               AND ct.column_id = c2c.source_id
+               AND ct.table_id = t.id
+               AND t.tablename = %L'
+     , (data_table_info)[1]->>'tablename')
+  INTO data_geoid_colname;
+  EXECUTE
+    format('SELECT ct.colname
+              FROM observatory.obs_column_to_column c2c,
+                   observatory.obs_column_table ct,
+                   observatory.obs_table t
+             WHERE c2c.reltype = ''geom_ref''
+               AND ct.column_id = c2c.source_id
+               AND ct.table_id = t.id
+               AND t.tablename = %L'
+   , geom_table_name)
+  INTO geom_geoid_colname;
+
+  EXECUTE
+    format('SELECT %I
+              FROM observatory.%I
+             WHERE ST_Within($1, the_geom)',
+            geom_geoid_colname,
+            geom_table_name)
+  USING geom
+  INTO geoid;
+
+  RAISE NOTICE 'geoid is %, geometry table is % ', geoid, geom_table_name;
+
+  EXECUTE
+    format('SELECT ST_Area(the_geom::geography) / (1000 * 1000)
+            FROM observatory.%I
+            WHERE %I = %L',
+            geom_table_name,
+            geom_geoid_colname,
+            geoid)
+  INTO area;
+
+  IF area IS NULL
+  THEN
+    RAISE NOTICE 'No geometry at %', ST_AsText(geom);
+  END IF;
+
+  query := 'SELECT Array[';
+  FOR i IN 1..array_upper(data_table_info, 1)
+  LOOP
+    IF area is NULL OR area = 0
+    THEN
+      -- give back null values
+      query := query || format('NULL::numeric ');
+    ELSIF ((data_table_info)[i])->>'aggregate' != 'sum'
+    THEN
+      -- give back full variable
+      query := query || format('%I ', ((data_table_info)[i])->>'colname');
+    ELSE
+      -- give back variable normalized by area of geography
+      query := query || format('%I/%s ',
+        ((data_table_info)[i])->>'colname',
+        area);
+    END IF;
+
+    IF i < array_upper(data_table_info, 1)
+    THEN
+      query := query || ',';
+    END IF;
+  END LOOP;
+
+  query := query || format(' ]::numeric[]
+    FROM observatory.%I
+    WHERE %I.%I  = %L
+  ',
+  ((data_table_info)[1])->>'tablename',
+  ((data_table_info)[1])->>'tablename',
+  data_geoid_colname,
+  geoid
+  );
+
+  EXECUTE
+    query
+  INTO result
+  USING geom;
+
+  EXECUTE
+    $query$
+     SELECT array_agg(row_to_json(t)) FROM (
+      SELECT values As value,
+              meta->>'name' As name,
+              meta->>'tablename' As tablename,
+              meta->>'aggregate' As aggregate,
+              meta->>'type' As type,
+              meta->>'description' As description
+             FROM (SELECT unnest($1) As values, unnest($2) As meta) b
+      ) t
+    $query$
+    INTO json_result
+    USING result, data_table_info;
+
+  RETURN json_result;
+END;
+$$ LANGUAGE plpgsql;
+
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetMeasure(
+  geom geometry(Geometry, 4326),
+  measure_id TEXT,
+  normalize TEXT DEFAULT 'area', -- TODO none/null
+  boundary_id TEXT DEFAULT NULL,
+  time_span TEXT DEFAULT NULL
+)
+RETURNS NUMERIC
+AS $$
+DECLARE
+  result NUMERIC;
+  measure_ids TEXT[];
+  denominator_id TEXT;
+  vals NUMERIC[];
+BEGIN
+
+  IF normalize ILIKE 'area' THEN
+    measure_ids := ARRAY[measure_id];
+  ELSIF normalize ILIKE 'denominator' THEN
+    EXECUTE 'SELECT (cdb_observatory._OBS_GetRelatedColumn(ARRAY[$1], ''denominator''))[1]
+    ' INTO denominator_id
+    USING measure_id;
+    measure_ids := ARRAY[measure_id, denominator_id];
+  ELSIF normalize ILIKE 'none' THEN
+    -- TODO we need a switch on obs_get to disable area normalization
+    RAISE EXCEPTION 'No normalization not yet supported.';
+  ELSE
+    RAISE EXCEPTION 'Only valid inputs for "normalize" are "area" (default) and "denominator".';
+  END IF;
+
+  EXECUTE '
+    SELECT ARRAY_AGG(val) FROM (SELECT (cdb_observatory._OBS_Get($1, $2, $3, $4)->>''value'')::NUMERIC val) b
+  '
+  INTO vals
+  USING geom, measure_ids, time_span, boundary_id;
+
+  IF normalize ILIKE 'denominator' THEN
+    RETURN (vals)[1]/(vals)[2];
+  ELSE
+    RETURN (vals)[1];
+  END IF;
+END;
+$$ LANGUAGE plpgsql;
+
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetCategory(
+  geom geometry(Geometry, 4326),
+  category_id TEXT,
+  boundary_id TEXT DEFAULT NULL,
+  time_span TEXT DEFAULT NULL
+)
+RETURNS TEXT
+AS $$
+DECLARE
+  denominator_id TEXT;
+  categories TEXT[];
+BEGIN
+
+  IF boundary_id IS NULL THEN
+    -- TODO we should determine best boundary for this geom
+    boundary_id := 'us.census.tiger.census_tract';
+  END IF;
+
+  IF time_span IS NULL THEN
+    -- TODO we should determine latest timespan for this measure
+    time_span := '2010 - 2014';
+  END IF;
+
+  EXECUTE '
+    SELECT ARRAY_AGG(val) FROM (SELECT (cdb_observatory._OBS_GetCategories($1, $2, $3, $4))->>''category'' val LIMIT 1) b
+  '
+  INTO categories
+  USING geom, ARRAY[category_id], boundary_id, time_span;
+
+  RETURN (categories)[1];
+
+END;
+$$ LANGUAGE plpgsql;
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetUSCensusMeasure(
+   geom geometry(Geometry, 4326),
+   name TEXT,
+   normalize TEXT DEFAULT 'area',
+   boundary_id TEXT DEFAULT NULL,
+   time_span TEXT DEFAULT NULL
+ )
+RETURNS NUMERIC AS $$
+DECLARE
+  standardized_name text;
+  measure_id text;
+  result NUMERIC;
+BEGIN
+  standardized_name = cdb_observatory._OBS_StandardizeMeasureName(name);
+
+  EXECUTE $string$
+  SELECT c.id
+  FROM observatory.obs_column c
+       JOIN observatory.obs_column_tag ct
+         ON c.id = ct.column_id
+       WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
+         AND ct.tag_id ILIKE 'us.census%'
+  $string$
+  INTO measure_id
+  USING standardized_name;
+
+  EXECUTE 'SELECT cdb_observatory.OBS_GetMeasure($1, $2, $3, $4, $5)'
+  INTO result
+  USING geom, measure_id, normalize, boundary_id, time_span;
+  RETURN result;
+END;
+$$ LANGUAGE plpgsql;
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetUSCensusCategory(
+   geom geometry(Geometry, 4326),
+   name TEXT,
+   boundary_id TEXT DEFAULT NULL,
+   time_span TEXT DEFAULT NULL
+ )
+RETURNS TEXT AS $$
+DECLARE
+  standardized_name text;
+  category_id text;
+  result TEXT;
+BEGIN
+  standardized_name = cdb_observatory._OBS_StandardizeMeasureName(name);
+
+  EXECUTE $string$
+  SELECT c.id
+  FROM observatory.obs_column c
+       --JOIN observatory.obs_column_tag ct
+       --  ON c.id = ct.column_id
+       WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
+         AND c.type ILIKE 'TEXT'
+         AND c.id ILIKE 'us.census%' -- TODO this should be done by tag
+         --AND ct.tag_id = 'us.census.acs.demographics'
+  $string$
+  INTO category_id
+  USING standardized_name;
+
+  EXECUTE 'SELECT cdb_observatory.OBS_GetCategory($1, $2, $3, $4)'
+  INTO result
+  USING geom, category_id, boundary_id, time_span;
+  RETURN result;
+END;
+$$ LANGUAGE plpgsql;
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetPopulation(
+  geom geometry(Geometry, 4326),
+  normalize TEXT DEFAULT 'area',
+  boundary_id TEXT DEFAULT NULL,
+  time_span TEXT DEFAULT NULL
+)
+RETURNS NUMERIC
+AS $$
+DECLARE
+  population_measure_id TEXT;
+  result NUMERIC;
+BEGIN
+  -- TODO use a super-column for global pop
+  population_measure_id := 'us.census.acs.B01003001';
+
+  EXECUTE format('SELECT cdb_observatory.OBS_GetMeasure(
+      %L, %L, %L, %L, %L
+  ) LIMIT 1', geom, population_measure_id, normalize, boundary_id, time_span)
+  INTO result;
+
+  return result;
+END;
+$$ LANGUAGE plpgsql;
+
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetPolygons(
+  geom geometry(Geometry, 4326),
+  geom_table_name text,
+  data_table_info json[]
+)
+RETURNS json[]
+AS $$
+DECLARE
+  result numeric[];
+  json_result json[];
+  q_select text;
+  q_sum text;
+  q text;
+  i NUMERIC;
+  data_geoid_colname text;
+  geom_geoid_colname text;
+BEGIN
+
+  -- TODO we're assuming our geom_table has only one geom_ref column
+  --      we *really* should pass in both geom_table_name and boundary_id
+  -- TODO tablename should not be passed here (use boundary_id)
+  EXECUTE
+    format('SELECT ct.colname
+              FROM observatory.obs_column_to_column c2c,
+                   observatory.obs_column_table ct,
+                   observatory.obs_table t
+             WHERE c2c.reltype = ''geom_ref''
+               AND ct.column_id = c2c.source_id
+               AND ct.table_id = t.id
+               AND t.tablename = %L'
+     , (data_table_info)[1]->>'tablename')
+  INTO data_geoid_colname;
+  EXECUTE
+    format('SELECT ct.colname
+              FROM observatory.obs_column_to_column c2c,
+                   observatory.obs_column_table ct,
+                   observatory.obs_table t
+             WHERE c2c.reltype = ''geom_ref''
+               AND ct.column_id = c2c.source_id
+               AND ct.table_id = t.id
+               AND t.tablename = %L'
+   , geom_table_name)
+  INTO geom_geoid_colname;
+
+  q_select := format('SELECT %I, ', data_geoid_colname);
+  q_sum    := 'SELECT Array[';
+
+  FOR i IN 1..array_upper(data_table_info, 1)
+  LOOP
+    q_select := q_select || format( '%I ', ((data_table_info)[i])->>'colname');
+
+    IF ((data_table_info)[i])->>'aggregate' ='sum'
+    THEN
+      q_sum := q_sum || format('sum(overlap_fraction * COALESCE(%I, 0)) ',((data_table_info)[i])->>'colname',((data_table_info)[i])->>'colname');
+    ELSE
+      q_sum := q_sum || ' NULL::numeric ';
+    END IF;
+
+    IF i < array_upper(data_table_info,1)
+    THEN
+      q_select := q_select || format(',');
+      q_sum := q_sum || format(',');
+    END IF;
+ END LOOP;
+
+  q := format('
+    WITH _overlaps As (
+      SELECT ST_Area(
+        ST_Intersection($1, a.the_geom)
+      ) / ST_Area(a.the_geom) As overlap_fraction,
+      %I
+      FROM observatory.%I As a
+      WHERE $1 && a.the_geom
+    ),
+    values As (
+    ', geom_geoid_colname, geom_table_name);
+
+  q := q || q_select || format('FROM observatory.%I ', ((data_table_info)[1]->>'tablename'));
+
+  q := format(q || ' ) ' || q_sum || ' ]::numeric[] FROM _overlaps, values
+  WHERE values.%I = _overlaps.%I', geom_geoid_colname, geom_geoid_colname);
+
+  EXECUTE
+    q
+  INTO result
+  USING geom;
+
+  EXECUTE
+    $query$
+     SELECT array_agg(row_to_json(t)) FROM (
+      SELECT values As value,
+              meta->>'name' As name,
+              meta->>'tablename' As tablename,
+              meta->>'aggregate' As aggregate,
+              meta->>'type' As type,
+              meta->>'description' As description
+             FROM (SELECT unnest($1) As values, unnest($2) As meta) b
+      ) t
+    $query$
+    INTO json_result
+    USING result, data_table_info;
+
+  RETURN json_result;
+END;
+$$ LANGUAGE plpgsql;
+
+
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetSegmentSnapshot(
+  geom geometry(Geometry, 4326),
+  boundary_id text DEFAULT NULL
+)
+RETURNS JSON
+AS $$
+DECLARE
+  target_cols text[];
+  result       json;
+  seg_name     Text;
+  geom_id      Text;
+  q            Text;
+  segment_names Text[];
+BEGIN
+IF boundary_id IS NULL THEN
+ boundary_id = 'us.census.tiger.census_tract';
+END IF;
+target_cols := Array[
+          'us.census.acs.B01003001_quantile',
+          'us.census.acs.B01001002_quantile',
+          'us.census.acs.B01001026_quantile',
+          'us.census.acs.B01002001_quantile',
+          'us.census.acs.B03002003_quantile',
+          'us.census.acs.B03002004_quantile',
+          'us.census.acs.B03002006_quantile',
+          'us.census.acs.B03002012_quantile',
+          'us.census.acs.B05001006_quantile',--
+          'us.census.acs.B08006001_quantile',--
+          'us.census.acs.B08006002_quantile',--
+          'us.census.acs.B08006008_quantile',--
+          'us.census.acs.B08006009_quantile',--
+          'us.census.acs.B08006011_quantile',--
+          'us.census.acs.B08006015_quantile',--
+          'us.census.acs.B08006017_quantile',--
+          'us.census.acs.B09001001_quantile',--
+          'us.census.acs.B11001001_quantile',
+          'us.census.acs.B14001001_quantile',--
+          'us.census.acs.B14001002_quantile',--
+          'us.census.acs.B14001005_quantile',--
+          'us.census.acs.B14001006_quantile',--
+          'us.census.acs.B14001007_quantile',--
+          'us.census.acs.B14001008_quantile',--
+          'us.census.acs.B15003001_quantile',
+          'us.census.acs.B15003017_quantile',
+          'us.census.acs.B15003022_quantile',
+          'us.census.acs.B15003023_quantile',
+          'us.census.acs.B16001001_quantile',--
+          'us.census.acs.B16001002_quantile',--
+          'us.census.acs.B16001003_quantile',--
+          'us.census.acs.B17001001_quantile',--
+          'us.census.acs.B17001002_quantile',--
+          'us.census.acs.B19013001_quantile',
+          'us.census.acs.B19083001_quantile',
+          'us.census.acs.B19301001_quantile',
+          'us.census.acs.B25001001_quantile',
+          'us.census.acs.B25002003_quantile',
+          'us.census.acs.B25004002_quantile',
+          'us.census.acs.B25004004_quantile',
+          'us.census.acs.B25058001_quantile',
+          'us.census.acs.B25071001_quantile',
+          'us.census.acs.B25075001_quantile',
+          'us.census.acs.B25075025_quantile'
+               ];
+
+    EXECUTE
+      $query$
+      SELECT array_agg(_OBS_GetCategories->>'category')
+      FROM cdb_observatory._OBS_GetCategories(
+         $1,
+         Array['us.census.spielman_singleton_segments.X10', 'us.census.spielman_singleton_segments.X55'],
+         $2)
+      $query$
+    INTO segment_names
+    USING geom, boundary_id;
+
+    q :=
+      format($query$
+      WITH a As (
+           SELECT
+             array_agg(_OBS_GET->>'name') As names,
+             array_agg(_OBS_GET->>'value') As vals
+           FROM cdb_observatory._OBS_Get($1,
+                        $2,
+                        '2010 - 2014',
+                        $3)
+
+        ), percentiles As (
+           %s
+         FROM  a)
+         SELECT row_to_json(r) FROM
+         ( SELECT $4 as x10_segment, $5 as x55_segment, percentiles.*
+          FROM percentiles) r
+       $query$, cdb_observatory._OBS_BuildSnapshotQuery(target_cols)) results;
+
+
+    EXECUTE
+      q
+    into result
+    USING geom, target_cols, boundary_id, segment_names[1], segment_names[2];
+
+    return result;
+
+END;
+$$ LANGUAGE plpgsql;
+
+--Get categorical variables from point
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetCategories(
+  geom geometry(Geometry, 4326),
+  dimension_names text[],
+  boundary_id text DEFAULT NULL,
+  time_span text DEFAULT NULL
+)
+RETURNS SETOF JSON as $$
+DECLARE
+  geom_table_name text;
+  geoid text;
+  names text[];
+  results text[];
+  query text;
+  data_table_info json[];
+BEGIN
+
+  IF time_span IS NULL THEN
+    time_span = '2010 - 2014';
+  END IF;
+
+  IF boundary_id IS NULL THEN
+    boundary_id = 'us.census.tiger.block_group';
+  END IF;
+
+  geom_table_name := cdb_observatory._OBS_GeomTable(geom, boundary_id);
+
+  IF geom_table_name IS NULL
+  THEN
+     RAISE NOTICE 'Point % is outside of the data region', ST_AsText(geom);
+     RETURN QUERY SELECT '{}'::text[], '{}'::text[];
+     RETURN;
+  END IF;
+
+  EXECUTE '
+    SELECT array_agg(_obs_getcolumndata)
+    FROM cdb_observatory._OBS_GetColumnData($1, $2, $3);
+    '
+  INTO data_table_info
+  USING boundary_id, dimension_names, time_span;
+
+  IF data_table_info IS NULL
+  THEN
+    RAISE NOTICE 'No data table found for this location';
+    RETURN QUERY SELECT NULL::json;
+    RETURN;
+  END IF;
+
+  EXECUTE
+    format('SELECT geoid
+            FROM observatory.%I
+            WHERE the_geom && $1',
+            geom_table_name)
+  USING geom
+  INTO geoid;
+
+  IF geoid IS NULL
+  THEN
+    RAISE NOTICE 'No geometry id for this location';
+    RETURN QUERY SELECT NULL::json;
+    RETURN;
+  END IF;
+
+  query := 'SELECT ARRAY[';
+
+  FOR i IN 1..array_upper(data_table_info, 1)
+  LOOP
+    query = query || format('%I ', lower(((data_table_info)[i])->>'colname'));
+    IF i <  array_upper(data_table_info, 1)
+    THEN
+      query := query || ',';
+    END IF;
+  END LOOP;
+
+  query := query || format(' ]::text[]
+    FROM observatory.%I
+    WHERE %I.geoid  = %L
+  ',
+  ((data_table_info)[1])->>'tablename',
+  ((data_table_info)[1])->>'tablename',
+  geoid
+  );
+
+  EXECUTE
+    query
+  INTO results
+  USING geom;
+
+  RETURN QUERY
+  EXECUTE
+    $query$
+     SELECT row_to_json(t) FROM (
+      SELECT categories As category,
+              meta->>'name' As name,
+              meta->>'tablename' As tablename,
+              meta->>'aggregate' As aggregate,
+              meta->>'type' As type,
+              meta->>'description' As description
+      FROM (SELECT unnest($1) As categories,
+                   unnest($2) As meta) As b
+      ) t
+    $query$
+    USING results, data_table_info;
+  RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+-- return a table that contains a string match based on input
+-- TODO: implement search for timespan
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_SearchTables(
+  search_term text,
+  time_span text DEFAULT NULL
+)
+RETURNS table(tablename text, timespan text)
+As $$
+DECLARE
+  out_var text[];
+BEGIN
+
+  IF time_span IS NULL
+  THEN
+    RETURN QUERY
+    EXECUTE
+    'SELECT tablename::text, timespan::text
+       FROM observatory.obs_table t
+       JOIN observatory.obs_column_table ct
+         ON ct.table_id = t.id
+       JOIN observatory.obs_column c
+         ON ct.column_id = c.id
+       WHERE c.type ILIKE ''geometry''
+        AND c.id = $1'
+    USING search_term;
+    RETURN;
+  ELSE
+    RETURN QUERY
+    EXECUTE
+    'SELECT tablename::text, timespan::text
+       FROM observatory.obs_table t
+       JOIN observatory.obs_column_table ct
+         ON ct.table_id = t.id
+       JOIN observatory.obs_column c
+         ON ct.column_id = c.id
+       WHERE c.type ILIKE ''geometry''
+        AND c.id = $1
+        AND t.timespan = $2'
+    USING search_term, time_span;
+    RETURN;
+  END IF;
+
+END;
+$$ LANGUAGE plpgsql IMMUTABLE;
+
+-- Functions used to search the observatory for measures
+--------------------------------------------------------------------------------
+-- TODO allow the user to specify the boundary to search for measures
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_Search(
+  search_term text,
+  relevant_boundary text DEFAULT null
+)
+RETURNS TABLE(id text, description text, name text, aggregate text, source text)  as $$
+DECLARE
+  boundary_term text;
+BEGIN
+  IF relevant_boundary then
+    boundary_term = '';
+  else
+    boundary_term = '';
+  END IF;
+
+  RETURN QUERY
+  EXECUTE format($string$
+              SELECT id::text, description::text,
+                name::text,
+                  aggregate::text,
+                  NULL::TEXT source -- TODO use tags
+                  FROM observatory.OBS_column
+                  where name ilike     '%%' || %L || '%%'
+                  or description ilike '%%' || %L || '%%'
+                  %s
+                $string$, search_term, search_term,boundary_term);
+  RETURN;
+END
+$$ LANGUAGE plpgsql;
+
+
+-- Functions to return the geometry levels that a point is part of
+--------------------------------------------------------------------------------
+-- TODO add test response
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetAvailableBoundaries(
+  geom geometry(Geometry, 4326),
+  timespan text DEFAULT null)
+RETURNS TABLE(boundary_id text, description text, time_span text, tablename text)  as $$
+DECLARE
+  timespan_query TEXT DEFAULT '';
+BEGIN
+
+  IF timespan != NULL
+  THEN
+    timespan_query = format('AND timespan = %L', timespan);
+  END IF;
+
+  RETURN QUERY
+  EXECUTE
+  $string$
+      SELECT
+        column_id::text As column_id,
+        obs_column.description::text As description,
+        timespan::text As timespan,
+        tablename::text As tablename
+      FROM
+        observatory.OBS_table,
+        observatory.OBS_column_table,
+        observatory.OBS_column
+      WHERE
+        observatory.OBS_column_table.column_id = observatory.obs_column.id AND
+        observatory.OBS_column_table.table_id = observatory.obs_table.id
+      AND
+        observatory.OBS_column.type = 'Geometry'
+      AND
+        $1 && bounds::box2d
+  $string$ || timespan_query
+  USING geom;
+  RETURN;
+END
+$$ LANGUAGE plpgsql;
+-- Data Observatory -- Welcome to the Future
+-- These Data Observatory functions provide access to boundary polyons (and
+--   their ids) such as those available through the US Census Tiger, Who's on
+--   First, the Spanish Census, and so on
+
+
+-- OBS_GetBoundary
+--
+-- Returns the boundary polygon(s) that overlap with the input point geometry.
+-- From an input point geometry, find the boundary which intersects with the
+--   centroid of the input geometry
+-- Inputs:
+--   geom geometry: input point geometry
+--   boundary_id text: source id of boundaries
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   boundary geometry: geometry boundary that intersects with geom, is at the
+--                      resolution requested with boundary_id, and time_span
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundary(
+  geom geometry(Point, 4326),
+  boundary_id text,
+  time_span text DEFAULT NULL)
+RETURNS geometry(Geometry, 4326)
+AS $$
+DECLARE
+  boundary geometry(Geometry, 4326);
+  target_table text;
+BEGIN
+
+  -- TODO: Check if SRID = 4326, if not transform?
+
+  -- if not a point, raise error
+  IF ST_GeometryType(geom) != 'ST_Point'
+  THEN
+    RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_Point''', ST_GeometryType(geom);
+  END IF;
+
+  -- choose appropriate table based on time_span
+  IF time_span IS NULL
+  THEN
+    SELECT x.target_tables INTO target_table
+    FROM cdb_observatory._OBS_SearchTables(boundary_id,
+                                           time_span) As x(target_tables,
+                                                           timespans)
+    ORDER BY x.timespans DESC
+    LIMIT 1;
+  ELSE
+    -- TODO: modify for only one table returned instead of arbitrarily choosing
+    --       one with LIMIT 1 (could be conflict between clipped vs non-clipped
+    --       boundaries in the metadata tables)
+    SELECT x.target_tables INTO target_table
+    FROM cdb_observatory._OBS_SearchTables(boundary_id,
+                            time_span) As x(target_tables,
+                                            timespans)
+    WHERE x.timespans = time_span
+    LIMIT 1;
+  END IF;
+
+  -- if no tables are found, raise notice and return null
+  IF target_table IS NULL
+  THEN
+    RAISE NOTICE 'No boundaries found for ''%'' in ''%''', ST_AsText(geom), boundary_id;
+    RETURN NULL::geometry;
+  END IF;
+
+  RAISE NOTICE 'target_table: %', target_table;
+
+  -- return the first boundary in intersections
+  EXECUTE format(
+    'SELECT the_geom
+     FROM observatory.%I
+     WHERE ST_Intersects($1, the_geom)
+     LIMIT 1', target_table)
+  INTO boundary
+  USING geom;
+
+  RETURN boundary;
+
+END;
+$$ LANGUAGE plpgsql;
+
+-- OBS_GetBoundaryId
+--
+-- retrieves the boundary identifier (e.g., '36047' = Kings County/Brooklyn, NY)
+--   corresponding to the location geom and boundary types (e.g.,
+--   us.census.tiger.county)
+
+-- Inputs:
+--   geom geometry: location where the boundary is requested to overlap with
+--   boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   geometry_id text: identifier of the geometry which overlaps with the input
+--                     point geom in the table corresponding to boundary_id and
+--                     time_span
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundaryId(
+  geom geometry(Point, 4326),
+  boundary_id text,
+  time_span text DEFAULT NULL
+)
+RETURNS text
+AS $$
+DECLARE
+  output_id text;
+  target_table text;
+  geoid_colname text;
+BEGIN
+
+  -- If not point, raise error
+  IF ST_GeometryType(geom) != 'ST_Point'
+  THEN
+    RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_Point''', ST_GeometryType(geom);
+  END IF;
+
+  -- choose appropriate table based on time_span
+  IF time_span IS NULL
+  THEN
+    SELECT x.target_tables INTO target_table
+    FROM cdb_observatory._OBS_SearchTables(boundary_id,
+                            time_span) As x(target_tables,
+                                                timespans)
+    ORDER BY x.timespans DESC
+    LIMIT 1;
+  ELSE
+    SELECT x.target_tables INTO target_table
+    FROM cdb_observatory._OBS_SearchTables(boundary_id,
+                            time_span) As x(target_tables,
+                                            timespans)
+    WHERE x.timespans = time_span
+    LIMIT 1;
+  END IF;
+
+  -- if no tables are found, raise notice and return null
+  IF target_table IS NULL
+  THEN
+    RAISE NOTICE 'Warning: No boundaries found for ''%''', boundary_id;
+    RETURN NULL::text;
+  END IF;
+
+  EXECUTE
+    format('SELECT ct.colname
+              FROM observatory.obs_column_to_column c2c,
+                   observatory.obs_column_table ct,
+                   observatory.obs_table t
+             WHERE c2c.reltype = ''geom_ref''
+               AND ct.column_id = c2c.source_id
+               AND ct.table_id = t.id
+               AND t.tablename = %L'
+   , target_table)
+  INTO geoid_colname;
+
+  RAISE NOTICE 'target_table: %, geoid_colname: %', target_table, geoid_colname;
+
+  -- return geometry id column value
+  EXECUTE format(
+    'SELECT %I::text
+     FROM observatory.%I
+     WHERE ST_Intersects($1, the_geom)
+     LIMIT 1', geoid_colname, target_table)
+  INTO output_id
+  USING geom;
+
+  RETURN output_id;
+
+END;
+$$ LANGUAGE plpgsql;
+
+
+-- OBS_GetBoundaryById
+--
+-- Given a geometry reference (e.g., geoid for US Census), and it's geometry
+--  level (see OBS_ListGeomColumns() for all available boundary ids), give back
+--  the boundary that corresponds to that geometry_id, boundary_id, and
+--   time_span
+
+-- Inputs:
+--   geometry_id text: geometry id of the requested boundary
+--   boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   boundary geometry: geometry boundary that matches geometry_id, is at the
+--                      resolution requested with boundary_id, and time_span
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundaryById(
+  geometry_id text,            -- ex: '36047'
+  boundary_id text,            -- ex: 'us.census.tiger.county'
+  time_span text DEFAULT NULL  -- ex: '2009'
+)
+RETURNS geometry(geometry, 4326)
+AS $$
+DECLARE
+  boundary geometry(geometry, 4326);
+  target_table text;
+  geoid_colname text;
+  geom_colname text;
+BEGIN
+
+  SELECT * INTO geoid_colname, target_table, geom_colname
+  FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
+
+  RAISE NOTICE '%', target_table;
+
+  IF target_table IS NULL
+  THEN
+    RAISE NOTICE 'No geometries found';
+    RETURN NULL::geometry;
+  END IF;
+
+  -- retrieve boundary
+  EXECUTE
+    format(
+    'SELECT %I
+     FROM observatory.%I
+     WHERE %I = $1
+     LIMIT 1', geom_colname, target_table, geoid_colname)
+  INTO boundary
+  USING geometry_id;
+
+  RETURN boundary;
+
+END;
+$$ LANGUAGE plpgsql;
+
+-- _OBS_GetBoundariesByGeometry
+-- internal function for retrieving geometries based on an input geometry
+--  see OBS_GetBoundariesByGeometry or OBS_GetBoundariesByPointAndRadius for
+--  more information
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetBoundariesByGeometry(
+  geom geometry(Geometry, 4326),
+  boundary_id text,
+  time_span text DEFAULT NULL,
+  overlap_type text DEFAULT 'intersects')
+RETURNS TABLE(the_geom geometry, geom_refs text)
+AS $$
+DECLARE
+  boundary geometry(Geometry, 4326);
+  geom_colname text;
+  geoid_colname text;
+  target_table text;
+BEGIN
+
+  -- check inputs
+  IF lower(overlap_type) NOT IN ('contains', 'intersects', 'within')
+  THEN
+    -- recognized overlap type (map to ST_Contains, ST_Intersects, and ST_Within)
+    RAISE EXCEPTION 'Overlap type ''%'' is not an accepted type (choose intersects, within, or contains)', overlap_type;
+  ELSIF ST_GeometryType(geom) NOT IN ('ST_Polygon', 'ST_MultiPolygon')
+  THEN
+      RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_MultiPolygon'' or ''ST_Polygon''', ST_GeometryType(geom);
+  END IF;
+
+  -- TODO: add timespan in search
+  -- TODO: add overlap info in search
+  SELECT * INTO geoid_colname, target_table, geom_colname
+  FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
+
+  -- if no tables are found, raise notice and return null
+  IF target_table IS NULL
+  THEN
+    RAISE NOTICE 'No boundaries found for bounding box ''%'' in ''%''', ST_AsText(geom), boundary_id;
+    RETURN QUERY SELECT NULL::geometry, NULL::text;
+    RETURN;
+  END IF;
+
+  RAISE NOTICE 'target_table: %', target_table;
+
+  -- return first boundary in intersections
+  RETURN QUERY
+  EXECUTE format(
+    'SELECT %I, %I::text
+     FROM observatory.%I
+     WHERE ST_%s($1, the_geom)
+     ', geom_colname, geoid_colname, target_table, overlap_type)
+  USING geom;
+  RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+
+-- OBS_GetBoundariesByGeometry
+--
+-- Given a bounding box (or a polygon), and it's geometry level (see
+--  OBS_ListGeomColumns() for all available boundary ids), give back the
+--  boundaries that are contained within the bounding box polygon and the
+--  associated geometry ids
+
+-- Inputs:
+--   geom geometry: bounding box (or polygon) of the region of interest
+--   boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   table with the following columns
+--     boundary geometry: geometry boundary that is contained within the input
+--                          bounding box at the requested geometry level
+--                          with boundary_id, and time_span
+--     geom_refs text: geometry identifiers (e.g., geoid for the US Census)
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundariesByGeometry(
+  geom geometry(Geometry, 4326),
+  boundary_id text,
+  time_span text DEFAULT NULL,
+  overlap_type text DEFAULT 'intersects')
+RETURNS TABLE(the_geom geometry, geom_refs text)
+AS $$
+BEGIN
+
+  RETURN QUERY SELECT *
+               FROM cdb_observatory._OBS_GetBoundariesByGeometry(
+                          geom,
+                          boundary_id,
+                          time_span,
+                          overlap_type
+                        );
+  RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+
+-- OBS_GetBoundariesByPointAndRadius
+--
+-- Given a point and radius, and it's geometry level (see
+--  OBS_ListGeomColumns() for all available boundary ids), give back the
+--  boundaries that are contained within the point buffered by radius meters and
+--  the associated geometry ids
+
+-- Inputs:
+--   geom geometry: point geometry centered on area of interest
+--   radius numeric: radius (in meters) of a circle centered on geom for
+--                   selecting polygons
+--   boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   table with the following columns
+--     boundary geometry: geometry boundary that is contained within the input
+--                          bounding box at the requested geometry level
+--                          with boundary_id, and time_span
+--     geom_refs text: geometry identifiers (e.g., geoid for the US Census)
+--
+-- TODO: move to ST_DWithin instead of buffer + intersects?
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetBoundariesByPointAndRadius(
+  geom geometry(Point, 4326), -- point
+  radius numeric, -- radius in meters
+  boundary_id text,
+  time_span text DEFAULT NULL,
+  overlap_type text DEFAULT 'intersects')
+RETURNS TABLE(the_geom geometry, geom_refs text)
+AS $$
+DECLARE
+  circle_boundary geometry(Geometry, 4326);
+BEGIN
+
+  IF ST_GeometryType(geom) != 'ST_Point'
+  THEN
+    RAISE EXCEPTION 'Input geometry ''%'' is not a point', ST_AsText(geom);
+  ELSE
+    circle_boundary := ST_Buffer(geom::geography, radius)::geometry;
+  END IF;
+
+  RETURN QUERY SELECT *
+               FROM cdb_observatory._OBS_GetBoundariesByGeometry(
+                        circle_boundary,
+                        boundary_id,
+                        time_span);
+  RETURN;
+END;
+$$ LANGUAGE plpgsql;
+
+-- _OBS_GetPointsByGeometry
+
+
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetPointsByGeometry(
+  geom geometry(Geometry, 4326),
+  boundary_id text,
+  time_span text DEFAULT NULL,
+  overlap_type text DEFAULT 'intersects')
+RETURNS TABLE(the_geom geometry, geom_refs text)
+AS $$
+DECLARE
+  boundary geometry(Geometry, 4326);
+  geom_colname text;
+  geoid_colname text;
+  target_table text;
+BEGIN
+
+  IF lower(overlap_type) NOT IN ('contains', 'within', 'intersects')
+  THEN
+    RAISE EXCEPTION 'Overlap type ''%'' is not an accepted type (choose intersects, within, or contains)', overlap_type;
+  ELSIF ST_GeometryType(geom) NOT IN ('ST_Polygon', 'ST_MultiPolygon')
+  THEN
+    RAISE EXCEPTION 'Invalid geometry type (%), expecting ''ST_MultiPolygon'' or ''ST_Polygon''', ST_GeometryType(geom);
+  END IF;
+
+  SELECT * INTO geoid_colname, target_table, geom_colname
+  FROM cdb_observatory._OBS_GetGeometryMetadata(boundary_id);
+
+  -- if no tables are found, raise notice and return null
+  IF target_table IS NULL
+  THEN
+    RAISE NOTICE 'No boundaries found for bounding box ''%'' in ''%''', ST_AsText(geom), boundary_id;
+    RETURN QUERY SELECT NULL::geometry, NULL::text;
+    RETURN;
+  END IF;
+
+  RAISE NOTICE 'target_table: %', target_table;
+
+  -- return first boundary in intersections
+  RETURN QUERY
+  EXECUTE format(
+    'SELECT ST_PointOnSurface(%I) As %s, %I::text
+     FROM observatory.%I
+     WHERE ST_%s($1, the_geom)
+     ', geom_colname, geom_colname, geoid_colname, target_table, overlap_type)
+  USING geom;
+  RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+
+-- OBS_GetPointsByGeometry
+--
+-- Given a polygon, and it's geometry level (see
+--  OBS_ListGeomColumns() for all available boundary ids), give back a point
+--  which lies in a boundary from the requested geometry level that is contained
+--  within the bounding box polygon and the associated geometry ids
+--
+-- Inputs:
+--   geom geometry: bounding box (or polygon) of the region of interest
+--   boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   table with the following columns
+--     boundary geometry: point that lies on a boundary that is contained within
+--                          the input bounding box at the requested geometry
+--                          level with boundary_id, and time_span
+--     geom_refs text: geometry identifiers (e.g., geoid for the US Census)
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetPointsByGeometry(
+  geom geometry(Geometry, 4326),
+  boundary_id text,
+  time_span text DEFAULT NULL,
+  overlap_type text DEFAULT 'intersects')
+RETURNS TABLE(the_geom geometry, geom_refs text)
+AS $$
+BEGIN
+
+  RETURN QUERY SELECT *
+               FROM cdb_observatory._OBS_GetPointsByGeometry(
+                      geom,
+                      boundary_id,
+                      time_span,
+                      overlap_type);
+  RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+
+-- OBS_GetBoundariesByPointAndRadius
+--
+-- Given a point and radius, and it's geometry level (see
+--  OBS_ListGeomColumns() for all available boundary ids), give back the
+--  boundaries that are contained within the point buffered by radius meters and
+--  the associated geometry ids
+
+-- Inputs:
+--   geom geometry: point geometry centered on area of interest
+--   radius numeric: radius (in meters) of a circle centered on geom for
+--                   selecting polygons
+--   boundary_id text: source id of boundaries (e.g., us.census.tiger.county)
+--                     see function OBS_ListGeomColumns for all avaiable
+--                     boundary ids
+--   time_span text: time span that the geometries were collected (optional)
+--
+-- Output:
+--   table with the following columns
+--     boundary geometry: geometry boundary that is contained within the input
+--                          bounding box at the requested geometry level
+--                          with boundary_id, and time_span
+--     geom_refs text: geometry identifiers (e.g., geoid for the US Census)
+--
+
+CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetPointsByPointAndRadius(
+  geom geometry(Point, 4326), -- point
+  radius numeric, -- radius in meters
+  boundary_id text,
+  time_span text DEFAULT NULL,
+  overlap_type text DEFAULT 'intersects')
+RETURNS TABLE(the_geom geometry, geom_refs text)
+AS $$
+DECLARE
+  circle_boundary geometry(Geometry, 4326);
+BEGIN
+
+  IF ST_GeometryType(geom) != 'ST_Point'
+  THEN
+    RAISE EXCEPTION 'Input geometry ''%'' is not a point', ST_AsText(geom);
+  ELSE
+    circle_boundary := ST_Buffer(geom::geography, radius)::geometry;
+  END IF;
+
+  RETURN QUERY SELECT *
+               FROM cdb_observatory._OBS_GetPointsByGeometry(
+                        ST_Buffer(geom::geography, radius)::geometry,
+                        boundary_id,
+                        time_span,
+                        overlap_type);
+  RETURN;
+END;
+$$ LANGUAGE plpgsql;
+
+
+-- _OBS_GetGeometryMetadata()
+-- TODO: add timespan in search
+-- TODO: add choice of clipped versus not clipped
+CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetGeometryMetadata(boundary_id text)
+RETURNS table(geoid_colname text, target_table text, geom_colname text)
+AS $$
+BEGIN
+
+  RETURN QUERY
+  EXECUTE
+  format($string$
+    SELECT geoid_ct.colname::text As geoid_colname,
+           tablename::text,
+           geom_ct.colname::text As geom_colname
+    FROM observatory.obs_column_table As geoid_ct,
+         observatory.obs_table As geom_t,
+         observatory.obs_column_table As geom_ct,
+         observatory.obs_column As geom_c
+    WHERE geoid_ct.column_id
+       IN (
+         SELECT source_id
+         FROM observatory.obs_column_to_column
+         WHERE reltype = 'geom_ref'
+           AND target_id = '%s'
+         )
+      AND geoid_ct.table_id = geom_t.id AND
+          geom_t.id = geom_ct.table_id AND
+          geom_ct.column_id = geom_c.id AND
+          geom_c.type ILIKE 'geometry' AND
+          geom_c.id = '%s'
+    $string$, boundary_id, boundary_id);
+  RETURN;
+    --  AND geom_t.timespan = '%s' <-- put in requested year
+    -- TODO: filter by clipped vs. not so appropriate tablename are unique
+    --       so the limit 1 can be removed
+    RETURN;
+
+END;
+$$ LANGUAGE plpgsql;
+-- Placeholder for permission tweaks at creation time.
+-- Make sure by default there are no permissions for publicuser
+-- NOTE: this happens at extension creation time, as part of an implicit transaction.
+-- REVOKE ALL PRIVILEGES ON SCHEMA cdb_observatory FROM PUBLIC, publicuser CASCADE;
+
+-- Grant permissions on the schema to publicuser (but just the schema)
+-- GRANT USAGE ON SCHEMA cdb_crankshaft TO publicuser;
+
+-- Revoke execute permissions on all functions in the schema by default
+-- REVOKE EXECUTE ON ALL FUNCTIONS IN SCHEMA cdb_observatory FROM PUBLIC, publicuser;
diff --git a/release/observatory.control b/release/observatory.control
index feab846..279edf1 100644
--- a/release/observatory.control
+++ b/release/observatory.control
@@ -1,5 +1,5 @@
 comment = 'CartoDB Observatory backend extension'
-default_version = '0.0.3'
+default_version = '0.0.4'
 requires = 'postgis'
 superuser = true
 schema = cdb_observatory
diff --git a/src/pg/observatory.control b/src/pg/observatory.control
index feab846..279edf1 100644
--- a/src/pg/observatory.control
+++ b/src/pg/observatory.control
@@ -1,5 +1,5 @@
 comment = 'CartoDB Observatory backend extension'
-default_version = '0.0.3'
+default_version = '0.0.4'
 requires = 'postgis'
 superuser = true
 schema = cdb_observatory
diff --git a/src/pg/sql/41_observatory_augmentation.sql b/src/pg/sql/41_observatory_augmentation.sql
index a8c42b2..6b64f60 100644
--- a/src/pg/sql/41_observatory_augmentation.sql
+++ b/src/pg/sql/41_observatory_augmentation.sql
@@ -435,7 +435,7 @@ BEGIN
        JOIN observatory.obs_column_tag ct
          ON c.id = ct.column_id
        WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
-         AND ct.tag_id = 'us.census.acs.demographics'
+         AND ct.tag_id ILIKE 'us.census%'
   $string$
   INTO measure_id
   USING standardized_name;
diff --git a/src/pg/test/expected/42_observatory_exploration_test.out b/src/pg/test/expected/42_observatory_exploration_test.out
index d53e5b5..0e4fbad 100644
--- a/src/pg/test/expected/42_observatory_exploration_test.out
+++ b/src/pg/test/expected/42_observatory_exploration_test.out
@@ -7,64 +7,9 @@ t|t
 _obs_searchtables_timespan_does_not_match
 t
 (1 row)
-id|description|name|aggregate|source
-us.census.acs.B01003001_quantile|The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.|Quantile:Total Population|quantile|
-es.ine.total_pop|The total number of all people living in a geographic area.|Total Population|sum|
-us.census.acs.B01003001|The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.|Total Population|sum|
-us.census.acs.B19301001|Per capita income is the mean income computed for every man, woman, and child in a particular group. It is derived by dividing the total income of a particular group by the total population.|Per Capita Income in the past 12 Months|average|
-us.census.acs.B01001001_quantile|The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.|Quantile:Total Population|quantile|
-(5 rows)
-boundary_id|description|time_span|tablename
-us.census.tiger.zcta5|ZCTAs are approximate area representations of U.S. Postal Service (USPS) five-digit ZIP Code service areas that the Census Bureau creates using whole blocks to present statistical data from censuses and surveys. The Census Bureau defines ZCTAs by allocating each block that contains addresses to a single ZCTA, usually to the ZCTA that reflects the most frequently occurring ZIP Code for the addresses within that tabulation block. Blocks that do not contain addresses but are completely surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA; those surrounded by multiple ZCTAs will be added to a single ZCTA based on limited buffering performed between multiple ZCTAs. The Census Bureau identifies five-digit ZCTAs using a five-character numeric code that represents the most frequently occurring USPS ZIP Code within that ZCTA, and this code may contain leading zeros.
-There are significant changes to the 2010 ZCTA delineation from that used in 2000. Coverage was extended to include the Island Areas for 2010 so that the United States, Puerto Rico, and the Island Areas have ZCTAs. Unlike 2000, when areas that could not be assigned to a ZCTA were given a generic code ending in “XX” (land area) or “HH” (water area), for 2010 there is no universal coverage by ZCTAs, and only legitimate five-digit areas are defined. The 2010 ZCTAs will better represent the actual Zip Code service areas because the Census Bureau initiated a process before creation of 2010 blocks to add block boundaries that split polygons with large numbers of addresses using different Zip Codes.
-Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The ZCTAs process used primarily residential addresses and was biased towards Zip Codes used for city-style mail delivery, thus there may be Zip Codes that are primarily nonresidential or boxes only that may not have a corresponding ZCTA.|2014|obs_144e8b4f906885b2e057ac4842644a553ae49c6e
-whosonfirst.wof_continent_geom|Continents of the world.|2016|obs_9880042f935aab0d0e4b71fb6963d7726e64c534
-whosonfirst.wof_country_geom| |2016|obs_1ea93bbc109c87c676b3270789dacf7a1430db6c
-whosonfirst.wof_region_geom| |2016|obs_4fca4f060854cc3ae8c109999635a71bbde6964e
-whosonfirst.wof_marinearea_geom| |2016|obs_5105018d57c69b8a7e064fc17a9485647b311a99
-whosonfirst.wof_disputed_geom| |2016|obs_7dba9374b15fbab0c7bd7dca6dec6c4792fe86a3
-us.census.tiger.congressional_district|Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on decennial census population counts, each state with multiple seats is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. For the District of Columbia, Puerto Rico, and each Island Area, a separate code is used to identify the entire areas of these state-equivalent entities as having a single nonvoting delegate.|2014|obs_01b608b3a4ca503ad7acc0b1f84817bc1da3e193
-us.census.tiger.congressional_district_clipped|A cartography-ready version of US Congressional Districts|2014|obs_9d258128ff4288eb9a6d7e5c0adbef8ef0172a86
-us.census.tiger.school_district_unified_clipped|A cartography-ready version of Unified School District|2014|obs_546285f2c636f5380e7bfbb0c0db67863f6ed41d
-us.census.tiger.cbsa_clipped|A cartography-ready version of Core Based Statistical Area (CBSA)|2014|obs_3512a78ca8c7e9b5fbd5390c4ed1638b9938fcbf
-us.census.tiger.block|Census blocks are statistical areas bounded by visible features, such as streets, roads, streams, and railroad tracks, and by nonvisible boundaries, such as selected property lines and city, township, school district, and county limits and short line-of-sight extensions of streets and roads. Generally, census blocks are small in area; for example, a block in a city bounded on all sides by streets. Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features, such as roads, streams, and transmission lines. In remote areas, census blocks may encompass hundreds of square miles. Census blocks cover the entire territory of the United States, Puerto Rico, and the Island Areas. Census blocks nest within all other tabulated census geographic entities and are the basis for all tabulated data.|2014|obs_ffebc3eb689edab4faa757f75ca02c65d7db7327
-us.census.tiger.school_district_elementary_clipped|A cartography-ready version of Elementary School District|2014|obs_41d99a86857c05f63320ea44419a68831e74ac3d
-us.census.tiger.block_group_clipped|A cartography-ready version of US Census Block Groups|2014|obs_6c1309a64d8f3e6986061f4d1ca7b57743e75e74
-us.census.tiger.census_tract_clipped|A cartography-ready version of US Census Tracts|2014|obs_fcd4e4f5610f6764973ef8c0c215b2e80bec8963
-us.census.tiger.zcta5_clipped|A cartography-ready version of US Census Zip Code Tabulation Areas|2014|obs_7615e8622a68bfc5fe37c69c9880edfb40250103
-us.census.tiger.place|Incorporated places are those reported to the Census Bureau as legally in existence as of January 1, 2010, as reported in the latest Boundary and Annexation Survey (BAS), under the laws of their respective states. An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division, which generally is created to provide services or administer an area without regard, necessarily, to population. Places always are within a single state or equivalent entity, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. For Census Bureau data tabulation and presentation purposes, incorporated places exclude:
-Boroughs in Alaska (treated as statistical equivalents of counties).
-Towns in the New England states, New York, and Wisconsin (treated as MCDs).
-Boroughs in New York (treated as MCDs).
-Census Designated Places (CDPs) are the statistical counterparts of incorporated places, and are delineated to provide data for settled concentrations of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located. The boundaries usually are defined in cooperation with local or tribal officials and generally updated prior to each decennial census. These boundaries, which usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity boundary, have no legal status, nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change from one decennial census
-to the next with changes in the settlement pattern; a CDP with the same name as in an earlier census does not necessarily have the same boundary. CDPs must be contained within a single state and may not extend into an incorporated place. There are no population size requirements for CDPs.
-Hawaii is the only state that has no incorporated places recognized by the Census Bureau. All places shown in decennial census data products for Hawaii are CDPs. By agreement with the state of Hawaii, the Census Bureau does not show data separately for the city of Honolulu, which is coextensive with Honolulu County. In Puerto Rico, which also does not have incorporated places, the Census Bureau recognizes only CDPs and refers to them as comunidades or zonas urbanas. Guam also has only CDPs.|2014|obs_76a52df2018de8d064f1a99f93544473927cb7ae
-us.census.tiger.place_clipped|A cartography-ready version of Incorporated Places|2014|obs_db91d46d317a4ffcf509efca8e5e3a42d29e0792
-us.census.tiger.school_district_secondary_clipped|A cartography-ready version of Secondary School District|2014|obs_63b15ba742ccea136ddb88427cc37fee218702d4
-us.census.tiger.cbsa|Core Based Statistical Areas (CBSAs) consist of the county or counties or equivalent entities associated with at least one core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties associated with the core. The general concept of a CBSA is that of a
-core area containing a substantial population nucleus, together with adjacent communities having a high degree of economic and social integration with that core. The term “core based statistical area” became effective in 2003 and refers collectively to metropolitan statistical areas and micropolitan statistical areas. The U.S. Office of Management and Budget (OMB) defines CBSAs to provide a nationally consistent set of geographic entities for the United States and Puerto Rico for use in tabulating and presenting statistical data. Current CBSAs are based on application of the 2000 standards (published in the Federal Register of December 27, 2000) with Census 2000 data. The first set of areas defined based on the 2000 standards were announced on June 6, 2003; subsequent updates have been made to the universe of CBSAs and related statistical areas. No CBSAs are defined in the Island Areas. Statistical areas related to CBSAs include metropolitan divisions, combined statistical areas (CSAs), New England city and town areas (NECTAs), NECTA divisions, and combined NECTAs.|2014|obs_c75be9ef45e87c789c3607dd9aeef6094d5e5109
-us.census.tiger.puma_clipped|A cartography-ready version of US Census Public Use Microdata Areas|2014|obs_dc244bf520f62e4a09e290a02e55368fd0758f95
-us.census.tiger.county|The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.|2014|obs_1babf5a26a1ecda5fb74963e88408f71d0364b81
-us.census.tiger.county_clipped|A cartography-ready version of US County|2014|obs_23cb5063486bd7cf36f17e89e5e65cd31b331f6e
-us.census.tiger.school_district_unified|School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
-The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
-The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
-The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.|2014|obs_c948b5b1e4fdaf3302d888d0dc4cc821d8857c96
-us.census.tiger.census_tract|Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity that are updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineates census tracts in situations where no local participant existed or where state, local, or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of statistical data.
-Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.
-Census tract boundaries generally follow visible and identifiable features. They may follow nonvisible legal boundaries, such as minor civil division (MCD) or incorporated place boundaries in some states and situations, to allow for census-tract-to-governmental-unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. Tribal census tracts are a unique geographic entity defined within federally recognized American Indian reservations and off-reservation trust lands and can cross state and county boundaries. Tribal census tracts may be completely different from the census tracts and block groups defined by state and county (see “Tribal Census Tract”).|2014|obs_fc050f0b8673cfe3c6aa1040f749eb40975691b7
-us.census.tiger.school_district_elementary|School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
-The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
-The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
-The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.|2014|obs_62ba00831d7f65309d6d663e2a99a688d336539a
-us.census.tiger.school_district_secondary|School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
-The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
-The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
-The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.|2014|obs_7b120df094ad943984b820d83ced7392af3a551a
-us.census.tiger.block_group|Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
-A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within the census tract. Within the standard census geographic hierarchy, BGs never cross state, county, or census tract boundaries but may cross the boundaries of any other geographic entity. Tribal census tracts and tribal BGs are separate and unique geographic areas defined within federally recognized American Indian reservations and can cross state and county boundaries (see “Tribal Census Tract” and “Tribal Block Group”). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.|2014|obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308
-us.census.tiger.state|States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.|2014|obs_624e5d2362e08aaa5463d7671e7748432262719c
-us.census.tiger.state_clipped|A cartography-ready version of US States|2014|obs_f39f1d7cd5a22b87140860cbd58539f1591a1810
-us.census.tiger.puma|PUMAs are geographic areas for which the Census Bureau provides selected extracts of raw data from a small sample of census records that are screened to protect confidentiality. These extracts are referred to as public use microdata sample (PUMS) files.
-For the 2010 Census, each state, the District of Columbia, Puerto Rico, and some Island Area participants delineated PUMAs for use in presenting PUMS data based on a 5 percent sample of decennial census or American Community Survey data. These areas are required to contain at least 100,000 people. This is different from Census 2000 when two types of PUMAs were defined: a 5 percent PUMA as for 2010 and an additional super-PUMA designed to provide a 1 percent sample. The PUMAs are identified by a five-digit census code unique within state.|2014|obs_7c9493c41fa8f4bd178ab993ea3d5891c1977667
-(30 rows)
+_obs_searchtotalpop
+t
+(1 row)
+_obs_getavailableboundariesexist
+t
+(1 row)
diff --git a/src/pg/test/fixtures/load_fixtures.sql b/src/pg/test/fixtures/load_fixtures.sql
index 6d33112..4ff41fe 100644
--- a/src/pg/test/fixtures/load_fixtures.sql
+++ b/src/pg/test/fixtures/load_fixtures.sql
@@ -8,6 +8,7 @@ DROP TABLE IF EXISTS "observatory"."obs_table";
 
 COPY "obs_table" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,id,tablename,timespan,bounds,description,version
+97,,,us.zillow.zillow_zip_7_2012_543542866c,obs_1ce43ba1ae29c71e0da6626fd8edc0533bb8d4a2,2012-07,"BOX(0 0,0 0)",,2
 1,,,whosonfirst.wof_region_147cc1ad52,obs_4fca4f060854cc3ae8c109999635a71bbde6964e,2016,"BOX(-180 -90,180 90)",,4
 2,,,us.zillow.zillow_zip_6_2012_6ecae92d5d,obs_70c638d4e3847530599ebdb1d71a0a1eb348a763,2012-06,"BOX(0 0,0 0)",,2
 3,,,us.zillow.zillow_zip_1_2015_e36ea2e6f1,obs_b3565aff53befa9847883380b37971b0efca073a,2015-01,"BOX(0 0,0 0)",,2
@@ -21,35 +22,35 @@ cartodb_id,the_geom,the_geom_webmercator,id,tablename,timespan,bounds,descriptio
 11,,,us.census.acs.quantiles_puma_5yr_2014_2eb4a8d092,obs_5c29bcfe5c183603230af1c79f97ce6d3ee2d58a,2010 - 2014,"BOX(0 0,0 0)",,8
 12,,,us.zillow.zillow_zip_5_2015_9e03f9fbca,obs_e859d4a300c94fc557a01bba28bfc65041a05a3f,2015-05,"BOX(0 0,0 0)",,2
 13,,,us.zillow.zillow_zip_10_2014_fe654167d3,obs_80d3856e56cbdbe7e6182795fcebbc82627b1496,2014-10,"BOX(0 0,0 0)",,2
-14,,,us.zillow.zillow_zip_4_2013_0bb4cf4f1c,obs_221fddd2ebc57ffabdde514bd9b2709234803da3,2013-04,"BOX(0 0,0 0)",,2
-15,,,us.zillow.zillow_zip_2_2011_789312494f,obs_6b39da3eaf8f4983c3e304676d061d39af73d222,2011-02,"BOX(0 0,0 0)",,2
-16,,,us.zillow.zillow_zip_4_2015_539b63d800,obs_9ac73530cef32987c5aae2f1930faf19eaa07a1a,2015-04,"BOX(0 0,0 0)",,2
-17,,,us.zillow.zillow_zip_12_2010_6e06e72de6,obs_537df2181e5ac6b1652e9b2f3176d3da6e4e7e3d,2010-12,"BOX(0 0,0 0)",,2
-18,,,us.zillow.zillow_zip_7_2011_315883c573,obs_a0b6c897f4b6bc924c70e53e6c95dd5307c360ba,2011-07,"BOX(0 0,0 0)",,2
-19,,,us.zillow.zillow_zip_11_2012_d8103d0d0e,obs_e7919cee05428cc965874b80acc1b70fa1035778,2012-11,"BOX(0 0,0 0)",,2
-20,,,us.zillow.zillow_zip_2_2016_2861ae6d2e,obs_944db5349ab0fcae4d95b5faefe8440517220c98,2016-02,"BOX(0 0,0 0)",,2
-21,,,us.census.tiger.sum_level_congressional_di_2014_5b5d6c90f0,obs_01b608b3a4ca503ad7acc0b1f84817bc1da3e193,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
-22,,,us.zillow.zillow_zip_9_2015_4b708fe02a,obs_14e64ddb2ed26f90ab9cd8e64bbaa3bee6ec56ea,2015-09,"BOX(0 0,0 0)",,2
-23,,,us.zillow.zillow_zip_6_2013_a2ad355e3a,obs_af891f9055124985ce2f0d54817cb607e9b5b5c7,2013-06,"BOX(0 0,0 0)",,2
-24,,,us.zillow.zillow_zip_12_2015_091178086e,obs_dcf20a2566adb1701d2648fad59d3a354e952a27,2015-12,"BOX(0 0,0 0)",,2
-25,,,us.census.acs.extract_census_tract_5yr_2014_fb3da650da,obs_b393b5b88c6adda634b2071a8005b03c551b609a,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
-26,,,us.zillow.zillow_zip_2_2012_9334dfc47f,obs_e58da40459b9077e2b718c7f037e78c43fcd776c,2012-02,"BOX(0 0,0 0)",,2
-27,,,us.zillow.zillow_zip_9_2013_f25b889ab4,obs_d65e86230c913ee20b86c8cd2af71f6fbdd6b2e9,2013-09,"BOX(0 0,0 0)",,2
-28,,,whosonfirst.wof_continent_8b78d60afe,obs_9880042f935aab0d0e4b71fb6963d7726e64c534,2016,"BOX(-180 -90,180 90)",,4
-29,,,whosonfirst.wof_marinearea_8cd723c3b0,obs_5105018d57c69b8a7e064fc17a9485647b311a99,2016,"BOX(-180 -90,180 90)",,4
-30,,,us.zillow.zillow_zip_2_2014_61b91a2b64,obs_0eb262f2a63e72f202925aa0ad70e78151bb3cf7,2014-02,"BOX(0 0,0 0)",,2
-31,,,us.zillow.zillow_zip_12_2012_b046d5bcf8,obs_afd2733ad692fd083fa58df1601842564ae7e0bd,2012-12,"BOX(0 0,0 0)",,2
-32,,,us.zillow.zillow_zip_3_2012_079e6a2b90,obs_35769fce8e9d7a9b8ec4545ea6ff8584703e5b55,2012-03,"BOX(0 0,0 0)",,2
-33,,,us.ny.nyc.opendata.acris_master_99914b932b,obs_811c938d1307530a3db53fc69f11a2499174d224,1966 - present,"BOX(0 0,0 0)",,0
-34,,,whosonfirst.wof_country_f5e8f976e3,obs_1ea93bbc109c87c676b3270789dacf7a1430db6c,2016,"BOX(-180 -90,180 90)",,4
-35,,,us.zillow.zillow_zip_8_2014_bffa3eb925,obs_d2e357ee572c8fada228449f5d82ce5e447c21b2,2014-08,"BOX(0 0,0 0)",,2
-36,,,us.census.acs.extract_puma_5yr_2013_e9f0d7bc6c,obs_a875390344c7e36b72a8d6a3d25ae0f2bb41eaee,2009 - 2013,"BOX(-179.231086 13.182335,179.859681 71.441059)",,1
-37,,,us.census.acs.extract_county_5yr_2013_5d7844896c,obs_75edf4ed5271a95f13755e9d06b80740b2fde0ba,2009 - 2013,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,1
-38,,,us.census.acs.extract_zcta5_5yr_2013_dc39ebe0d5,obs_e99034a8fff4654142aed05d887f745a32cedc9f,2009 - 2013,"BOX(-176.684744 -14.373765,145.830505 71.341324)",,1
-39,,,us.bls.raw_qcew_2013_dd20d99063,obs_530081a407e8793b7fef6666ebc46db0fcc9db2c,2013,"BOX(0 0,0 0)",,0
-40,,,us.zillow.zillow_zip_9_2014_805ce10f0b,obs_7af58e8f427c4c57544f86e5a6e617ea0b8991af,2014-09,"BOX(0 0,0 0)",,2
-41,,,es.ine.geometry_99914b932b,obs_01b060d28ba00522076d6f7d7e8939adc6069c28,2011,"BOX(-18.1608741903971 27.6377376448416,4.32788958435346 43.7899939997615)",,1
-42,,,es.ine.raw_five_year_population_99914b932b,obs_248a50b776f9345d662547edcb80f934bb1b8f1c,2011,"BOX(-18.1608741903971 27.6377376448416,4.32788958435346 43.7899939997615)",,1
+14,,,es.ine.raw_five_year_population_99914b932b,obs_248a50b776f9345d662547edcb80f934bb1b8f1c,2011,"BOX(-18.1608741903971 27.6377376448416,4.32788958435346 43.7899939997615)",,2
+15,,,us.zillow.zillow_zip_4_2013_0bb4cf4f1c,obs_221fddd2ebc57ffabdde514bd9b2709234803da3,2013-04,"BOX(0 0,0 0)",,2
+16,,,us.zillow.zillow_zip_2_2011_789312494f,obs_6b39da3eaf8f4983c3e304676d061d39af73d222,2011-02,"BOX(0 0,0 0)",,2
+17,,,us.zillow.zillow_zip_4_2015_539b63d800,obs_9ac73530cef32987c5aae2f1930faf19eaa07a1a,2015-04,"BOX(0 0,0 0)",,2
+18,,,us.zillow.zillow_zip_12_2010_6e06e72de6,obs_537df2181e5ac6b1652e9b2f3176d3da6e4e7e3d,2010-12,"BOX(0 0,0 0)",,2
+19,,,us.zillow.zillow_zip_7_2011_315883c573,obs_a0b6c897f4b6bc924c70e53e6c95dd5307c360ba,2011-07,"BOX(0 0,0 0)",,2
+20,,,us.zillow.zillow_zip_11_2012_d8103d0d0e,obs_e7919cee05428cc965874b80acc1b70fa1035778,2012-11,"BOX(0 0,0 0)",,2
+21,,,us.zillow.zillow_zip_2_2016_2861ae6d2e,obs_944db5349ab0fcae4d95b5faefe8440517220c98,2016-02,"BOX(0 0,0 0)",,2
+22,,,us.census.tiger.sum_level_congressional_di_2014_5b5d6c90f0,obs_01b608b3a4ca503ad7acc0b1f84817bc1da3e193,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
+23,,,us.zillow.zillow_zip_9_2015_4b708fe02a,obs_14e64ddb2ed26f90ab9cd8e64bbaa3bee6ec56ea,2015-09,"BOX(0 0,0 0)",,2
+24,,,us.zillow.zillow_zip_6_2013_a2ad355e3a,obs_af891f9055124985ce2f0d54817cb607e9b5b5c7,2013-06,"BOX(0 0,0 0)",,2
+25,,,us.zillow.zillow_zip_12_2015_091178086e,obs_dcf20a2566adb1701d2648fad59d3a354e952a27,2015-12,"BOX(0 0,0 0)",,2
+26,,,us.census.acs.extract_census_tract_5yr_2014_fb3da650da,obs_b393b5b88c6adda634b2071a8005b03c551b609a,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
+27,,,us.zillow.zillow_zip_2_2012_9334dfc47f,obs_e58da40459b9077e2b718c7f037e78c43fcd776c,2012-02,"BOX(0 0,0 0)",,2
+28,,,us.zillow.zillow_zip_9_2013_f25b889ab4,obs_d65e86230c913ee20b86c8cd2af71f6fbdd6b2e9,2013-09,"BOX(0 0,0 0)",,2
+29,,,whosonfirst.wof_continent_8b78d60afe,obs_9880042f935aab0d0e4b71fb6963d7726e64c534,2016,"BOX(-180 -90,180 90)",,4
+30,,,whosonfirst.wof_marinearea_8cd723c3b0,obs_5105018d57c69b8a7e064fc17a9485647b311a99,2016,"BOX(-180 -90,180 90)",,4
+31,,,us.zillow.zillow_zip_2_2014_61b91a2b64,obs_0eb262f2a63e72f202925aa0ad70e78151bb3cf7,2014-02,"BOX(0 0,0 0)",,2
+32,,,us.zillow.zillow_zip_12_2012_b046d5bcf8,obs_afd2733ad692fd083fa58df1601842564ae7e0bd,2012-12,"BOX(0 0,0 0)",,2
+33,,,us.zillow.zillow_zip_3_2012_079e6a2b90,obs_35769fce8e9d7a9b8ec4545ea6ff8584703e5b55,2012-03,"BOX(0 0,0 0)",,2
+34,,,us.ny.nyc.opendata.acris_master_99914b932b,obs_811c938d1307530a3db53fc69f11a2499174d224,1966 - present,"BOX(0 0,0 0)",,0
+35,,,whosonfirst.wof_country_f5e8f976e3,obs_1ea93bbc109c87c676b3270789dacf7a1430db6c,2016,"BOX(-180 -90,180 90)",,4
+36,,,us.zillow.zillow_zip_8_2014_bffa3eb925,obs_d2e357ee572c8fada228449f5d82ce5e447c21b2,2014-08,"BOX(0 0,0 0)",,2
+37,,,us.census.acs.extract_puma_5yr_2013_e9f0d7bc6c,obs_a875390344c7e36b72a8d6a3d25ae0f2bb41eaee,2009 - 2013,"BOX(-179.231086 13.182335,179.859681 71.441059)",,1
+38,,,us.census.acs.extract_county_5yr_2013_5d7844896c,obs_75edf4ed5271a95f13755e9d06b80740b2fde0ba,2009 - 2013,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,1
+39,,,us.census.acs.extract_zcta5_5yr_2013_dc39ebe0d5,obs_e99034a8fff4654142aed05d887f745a32cedc9f,2009 - 2013,"BOX(-176.684744 -14.373765,145.830505 71.341324)",,1
+40,,,us.bls.raw_qcew_2013_dd20d99063,obs_530081a407e8793b7fef6666ebc46db0fcc9db2c,2013,"BOX(0 0,0 0)",,0
+41,,,us.zillow.zillow_zip_9_2014_805ce10f0b,obs_7af58e8f427c4c57544f86e5a6e617ea0b8991af,2014-09,"BOX(0 0,0 0)",,2
+42,,,es.ine.geometry_99914b932b,obs_01b060d28ba00522076d6f7d7e8939adc6069c28,2011,"BOX(-18.1608741903971 27.6377376448416,4.32788958435346 43.7899939997615)",,1
 43,,,es.ine.five_year_population_99914b932b,obs_24b656e9e23d1dac2c8ab5786a388f9bf0f4e5ae,2011,"BOX(-18.1608741903971 27.6377376448416,4.32788958435346 43.7899939997615)",,1
 44,,,us.census.tiger.shoreline_clip_puma_2014_09d4166960,obs_dc244bf520f62e4a09e290a02e55368fd0758f95,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
 45,,,us.bls.naics_99914b932b,obs_609c848c80950261032da680294bb1e3ddcf43b6,,"BOX(0 0,0 0)",,0
@@ -104,7 +105,6 @@ cartodb_id,the_geom,the_geom_webmercator,id,tablename,timespan,bounds,descriptio
 94,,,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,obs_762e81211bd340fe5f850243dc8a141f03e37346,2007 - 2011,"BOX(0 0,0 0)",,7
 95,,,us.zillow.zillow_zip_1_2016_f009c816f3,obs_27575e7d72b301204d1879ec1c4f2261bb9f969b,2016-01,"BOX(0 0,0 0)",,2
 96,,,us.census.acs.extract_puma_5yr_2011_b2bf095a7f,obs_10dec85b57ab581d1c634c7cc902c6e282cd0a80,2007 - 2011,"BOX(-179.231086 13.182335,179.859681 71.441059)",,5
-97,,,us.zillow.zillow_zip_7_2012_543542866c,obs_1ce43ba1ae29c71e0da6626fd8edc0533bb8d4a2,2012-07,"BOX(0 0,0 0)",,2
 98,,,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,obs_3ccc38ec3e2662371701fe70e9327ed051ec59f6,2007 - 2011,"BOX(0 0,0 0)",,7
 99,,,us.zillow.zillow_zip_8_2015_7b15641be6,obs_93926cf32acabd24dcc695c9a9a4babf2aa42697,2015-08,"BOX(0 0,0 0)",,2
 100,,,us.census.acs.extract_block_group_5yr_2011_3f182d0090,obs_1f37079296d12c8d54980af8f661379febedb387,2007 - 2011,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,5
@@ -133,47 +133,47 @@ cartodb_id,the_geom,the_geom_webmercator,id,tablename,timespan,bounds,descriptio
 123,,,us.census.tiger.sum_level_block_2014_22a559b9ef,obs_ffebc3eb689edab4faa757f75ca02c65d7db7327,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
 124,,,us.zillow.zillow_zip_single_family_resi_b9f71b6d39,obs_8185cf5343f25a295eb101f19dc5ed18e946ffec,,"BOX(0 0,0 0)",,0
 125,,,us.census.tiger.tiger_geography_shapefile_to_sql_areawater_2013_79e1367e11,obs_c702eafad4d83435d4955c62f6adad27cf6197ab,2013,"BOX(0 0,0 0)",,2
-126,,,us.census.tiger.simple_shoreline_2013_dd20d99063,obs_b45d18863841d923e915c3aa64e0e9d23107d609,2013,"BOX(0 0,0 0)",,2
-127,,,us.zillow.zillow_zip_5_2014_7842d502e3,obs_b03f87667520378f8229b8f6bfa574ae3fbd05da,2014-05,"BOX(0 0,0 0)",,2
-128,,,us.zillow.zillow_zip_11_2013_7166428a2e,obs_4954e6b41e6d1ebc774b3b71366c5af964d0d559,2013-11,"BOX(0 0,0 0)",,2
-129,,,us.zillow.zillow_zip_10_2015_b97100aa55,obs_eacddf18b4e60feb64a564fc7aa470e2ddba46f9,2015-10,"BOX(0 0,0 0)",,2
-130,,,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,obs_a69b65ec7eeacd821f5bee239d8ce885b224c695,2010 - 2014,"BOX(0 0,0 0)",,7
-131,,,us.census.tiger.sum_level_puma_2014_09d4166960,obs_7c9493c41fa8f4bd178ab993ea3d5891c1977667,2014,"BOX(-179.231086 13.182335,179.859681 71.441059)",,7
-132,,,us.zillow.zillow_zip_4_2014_0f6e97bad2,obs_0e05bd1e2fb47daa7f1c67efc76024c6ed8ee102,2014-04,"BOX(0 0,0 0)",,2
-133,,,us.zillow.zillow_zip_10_2013_230b2f367e,obs_429236a91ad28c06897e0c362c0d51e49220ab42,2013-10,"BOX(0 0,0 0)",,2
-134,,,us.census.tiger.sum_level_cbsa_2014_558f9e0c3a,obs_c75be9ef45e87c789c3607dd9aeef6094d5e5109,2014,"BOX(-178.443593 17.831509,-65.422706 65.454475)",,7
-135,,,us.zillow.zillow_zip_5_2011_fb5f07ba85,obs_e26dbf201c0a609ee0c15d9ae132027c9caa342c,2011-05,"BOX(0 0,0 0)",,2
-136,,,us.zillow.zillow_zip_5_2012_35b00aca2f,obs_cdb214781ba1f03b3e47a7cf79889ad27066c711,2012-05,"BOX(0 0,0 0)",,2
-137,,,us.zillow.zillow_zip_11_2011_fd2b8e2644,obs_78ca6ddbabe6f1ecbaf407ca05ffe6ae872d9849,2011-11,"BOX(0 0,0 0)",,2
-138,,,us.zillow.zillow_zip_10_2012_928f34cbf3,obs_33e6f3dced5896dd7460bc0a1b378cc5729b122e,2012-10,"BOX(0 0,0 0)",,2
-139,,,us.zillow.zillow_zip_1_2014_4a46b8a770,obs_d39f7fe5959891c8296490d83c22ded31c54af13,2014-01,"BOX(0 0,0 0)",,2
-140,,,us.zillow.zillow_zip_11_2015_9099cf2144,obs_ccdd772c3bf0f80e060926c104f0a1df5ad54380,2015-11,"BOX(0 0,0 0)",,2
-141,,,us.zillow.zillow_zip_3_2015_f555d500ce,obs_7d991b3b9827b34f1be7145ad455d2620c9ef26a,2015-03,"BOX(0 0,0 0)",,2
-142,,,us.zillow.zillow_zip_9_2011_326f1e9097,obs_323aef6038ba6eef8763d3c7807cb028ef881e16,2011-09,"BOX(0 0,0 0)",,2
-143,,,us.census.tiger.sum_level_place_2014_4dd07ead08,obs_76a52df2018de8d064f1a99f93544473927cb7ae,2014,"BOX(-176.713098 -14.41995,173.429921 71.340257)",,7
-144,,,us.census.acs.extract_county_5yr_2014_e045f8e78c,obs_721049eb3389aa86852345f0ac7def3d0225f71b,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
-145,,,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,obs_f01af9ed1570751df26e0ecfbebe6121476c148a,2010 - 2014,"BOX(0 0,0 0)",,8
-146,,,us.census.acs.extract_school_district_5yr_2014_4e4488529e,obs_bdc2eee3593a1133ae388f18199040e6ff491272,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
-147,,,us.census.acs.quantiles_school_district_5yr_2014_d1d29a2ec5,obs_a06607ff6d3e993aa2242d0ad6aa6712f89af783,2010 - 2014,"BOX(0 0,0 0)",,8
-148,,,us.census.acs.extract_state_5yr_2014_145c76ec6e,obs_7a0c2217e1af9da6abb7bbb458044395952a9ceb,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
-149,,,us.census.acs.quantiles_state_5yr_2014_145c76ec6e,obs_24be6640ba0524c4d5d24181df603159a7cbaa74,2010 - 2014,"BOX(0 0,0 0)",,8
-150,,,us.census.acs.quantiles_school_district_5yr_2014_4e4488529e,obs_7ae0eec53a76c88521d214d830318e77f5c39246,2010 - 2014,"BOX(0 0,0 0)",,8
-151,,,us.census.acs.extract_school_district_5yr_2014_ae22ad2510,obs_be2b34497021761a3e6afbb3c9222170229777bb,2010 - 2014,"BOX(-124.312869 29.401712,-67.388789 49.00139)",,7
-152,,,us.census.acs.quantiles_school_district_5yr_2014_ae22ad2510,obs_f9e2d4d94a8f13843daa879da32cc7ab6a56300e,2010 - 2014,"BOX(0 0,0 0)",,8
-153,,,us.census.acs.extract_school_district_5yr_2014_d1d29a2ec5,obs_d5a582846bd6cd16604610ebeb3ff1eb0d1af8b7,2010 - 2014,"BOX(-124.312869 29.401712,-67.388789 49.00139)",,7
-154,,,us.census.tiger.shoreline_clip_congressional_di_2014_5b5d6c90f0,obs_9d258128ff4288eb9a6d7e5c0adbef8ef0172a86,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-155,,,us.census.tiger.shoreline_clip_cbsa_2014_558f9e0c3a,obs_3512a78ca8c7e9b5fbd5390c4ed1638b9938fcbf,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-156,,,us.census.tiger.shoreline_clip_state_2014_26da20e132,obs_f39f1d7cd5a22b87140860cbd58539f1591a1810,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-157,,,us.census.tiger.shoreline_clip_school_district_2014_da01eb1bf7,obs_546285f2c636f5380e7bfbb0c0db67863f6ed41d,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-158,,,us.census.tiger.shoreline_clip_zcta5_2014_6965b297f0,obs_7615e8622a68bfc5fe37c69c9880edfb40250103,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-159,,,us.census.tiger.shoreline_clip_census_tract_2014_b8b31034b1,obs_fcd4e4f5610f6764973ef8c0c215b2e80bec8963,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-160,,,us.census.tiger.shoreline_clip_school_district_2014_0c3323eaa9,obs_41d99a86857c05f63320ea44419a68831e74ac3d,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-161,,,us.census.tiger.shoreline_clip_block_group_2014_a53159c701,obs_6c1309a64d8f3e6986061f4d1ca7b57743e75e74,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-162,,,us.census.tiger.shoreline_clip_place_2014_4dd07ead08,obs_db91d46d317a4ffcf509efca8e5e3a42d29e0792,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-163,,,us.census.tiger.shoreline_clip_school_district_2014_88dacdb0bf,obs_63b15ba742ccea136ddb88427cc37fee218702d4,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-164,,,us.census.tiger.shoreline_clip_county_2014_fc3b5a4f3c,obs_23cb5063486bd7cf36f17e89e5e65cd31b331f6e,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
-165,,,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,obs_1a098da56badf5f32e336002b0a81708c40d29cd,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,8
-166,,,us.census.spielman_singleton_segments.spielman_singleton_table_99914b932b,obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d,2010 - 2014,"BOX(0 0,0 0)",,8
+126,,,us.zillow.zillow_zip_5_2014_7842d502e3,obs_b03f87667520378f8229b8f6bfa574ae3fbd05da,2014-05,"BOX(0 0,0 0)",,2
+127,,,us.zillow.zillow_zip_11_2013_7166428a2e,obs_4954e6b41e6d1ebc774b3b71366c5af964d0d559,2013-11,"BOX(0 0,0 0)",,2
+128,,,us.zillow.zillow_zip_10_2015_b97100aa55,obs_eacddf18b4e60feb64a564fc7aa470e2ddba46f9,2015-10,"BOX(0 0,0 0)",,2
+129,,,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,obs_a69b65ec7eeacd821f5bee239d8ce885b224c695,2010 - 2014,"BOX(0 0,0 0)",,7
+130,,,us.census.tiger.sum_level_puma_2014_09d4166960,obs_7c9493c41fa8f4bd178ab993ea3d5891c1977667,2014,"BOX(-179.231086 13.182335,179.859681 71.441059)",,7
+131,,,us.zillow.zillow_zip_4_2014_0f6e97bad2,obs_0e05bd1e2fb47daa7f1c67efc76024c6ed8ee102,2014-04,"BOX(0 0,0 0)",,2
+132,,,us.zillow.zillow_zip_10_2013_230b2f367e,obs_429236a91ad28c06897e0c362c0d51e49220ab42,2013-10,"BOX(0 0,0 0)",,2
+133,,,us.census.tiger.sum_level_cbsa_2014_558f9e0c3a,obs_c75be9ef45e87c789c3607dd9aeef6094d5e5109,2014,"BOX(-178.443593 17.831509,-65.422706 65.454475)",,7
+134,,,us.zillow.zillow_zip_5_2011_fb5f07ba85,obs_e26dbf201c0a609ee0c15d9ae132027c9caa342c,2011-05,"BOX(0 0,0 0)",,2
+135,,,us.zillow.zillow_zip_5_2012_35b00aca2f,obs_cdb214781ba1f03b3e47a7cf79889ad27066c711,2012-05,"BOX(0 0,0 0)",,2
+136,,,us.zillow.zillow_zip_11_2011_fd2b8e2644,obs_78ca6ddbabe6f1ecbaf407ca05ffe6ae872d9849,2011-11,"BOX(0 0,0 0)",,2
+137,,,us.zillow.zillow_zip_10_2012_928f34cbf3,obs_33e6f3dced5896dd7460bc0a1b378cc5729b122e,2012-10,"BOX(0 0,0 0)",,2
+138,,,us.zillow.zillow_zip_1_2014_4a46b8a770,obs_d39f7fe5959891c8296490d83c22ded31c54af13,2014-01,"BOX(0 0,0 0)",,2
+139,,,us.zillow.zillow_zip_11_2015_9099cf2144,obs_ccdd772c3bf0f80e060926c104f0a1df5ad54380,2015-11,"BOX(0 0,0 0)",,2
+140,,,us.zillow.zillow_zip_3_2015_f555d500ce,obs_7d991b3b9827b34f1be7145ad455d2620c9ef26a,2015-03,"BOX(0 0,0 0)",,2
+141,,,us.zillow.zillow_zip_9_2011_326f1e9097,obs_323aef6038ba6eef8763d3c7807cb028ef881e16,2011-09,"BOX(0 0,0 0)",,2
+142,,,us.census.tiger.sum_level_place_2014_4dd07ead08,obs_76a52df2018de8d064f1a99f93544473927cb7ae,2014,"BOX(-176.713098 -14.41995,173.429921 71.340257)",,7
+143,,,us.census.acs.extract_county_5yr_2014_e045f8e78c,obs_721049eb3389aa86852345f0ac7def3d0225f71b,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
+144,,,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,obs_f01af9ed1570751df26e0ecfbebe6121476c148a,2010 - 2014,"BOX(0 0,0 0)",,8
+145,,,us.census.acs.extract_school_district_5yr_2014_4e4488529e,obs_bdc2eee3593a1133ae388f18199040e6ff491272,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
+146,,,us.census.acs.quantiles_school_district_5yr_2014_d1d29a2ec5,obs_a06607ff6d3e993aa2242d0ad6aa6712f89af783,2010 - 2014,"BOX(0 0,0 0)",,8
+147,,,us.census.acs.extract_state_5yr_2014_145c76ec6e,obs_7a0c2217e1af9da6abb7bbb458044395952a9ceb,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,7
+148,,,us.census.acs.quantiles_state_5yr_2014_145c76ec6e,obs_24be6640ba0524c4d5d24181df603159a7cbaa74,2010 - 2014,"BOX(0 0,0 0)",,8
+149,,,us.census.acs.quantiles_school_district_5yr_2014_4e4488529e,obs_7ae0eec53a76c88521d214d830318e77f5c39246,2010 - 2014,"BOX(0 0,0 0)",,8
+150,,,us.census.acs.extract_school_district_5yr_2014_ae22ad2510,obs_be2b34497021761a3e6afbb3c9222170229777bb,2010 - 2014,"BOX(-124.312869 29.401712,-67.388789 49.00139)",,7
+151,,,us.census.acs.quantiles_school_district_5yr_2014_ae22ad2510,obs_f9e2d4d94a8f13843daa879da32cc7ab6a56300e,2010 - 2014,"BOX(0 0,0 0)",,8
+152,,,us.census.acs.extract_school_district_5yr_2014_d1d29a2ec5,obs_d5a582846bd6cd16604610ebeb3ff1eb0d1af8b7,2010 - 2014,"BOX(-124.312869 29.401712,-67.388789 49.00139)",,7
+153,,,us.census.tiger.shoreline_clip_congressional_di_2014_5b5d6c90f0,obs_9d258128ff4288eb9a6d7e5c0adbef8ef0172a86,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+154,,,us.census.tiger.shoreline_clip_cbsa_2014_558f9e0c3a,obs_3512a78ca8c7e9b5fbd5390c4ed1638b9938fcbf,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+155,,,us.census.tiger.shoreline_clip_state_2014_26da20e132,obs_f39f1d7cd5a22b87140860cbd58539f1591a1810,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+156,,,us.census.tiger.shoreline_clip_school_district_2014_da01eb1bf7,obs_546285f2c636f5380e7bfbb0c0db67863f6ed41d,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+157,,,us.census.tiger.shoreline_clip_zcta5_2014_6965b297f0,obs_7615e8622a68bfc5fe37c69c9880edfb40250103,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+158,,,us.census.tiger.shoreline_clip_census_tract_2014_b8b31034b1,obs_fcd4e4f5610f6764973ef8c0c215b2e80bec8963,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+159,,,us.census.tiger.shoreline_clip_school_district_2014_0c3323eaa9,obs_41d99a86857c05f63320ea44419a68831e74ac3d,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+160,,,us.census.tiger.shoreline_clip_place_2014_4dd07ead08,obs_db91d46d317a4ffcf509efca8e5e3a42d29e0792,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+161,,,us.census.tiger.shoreline_clip_school_district_2014_88dacdb0bf,obs_63b15ba742ccea136ddb88427cc37fee218702d4,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+162,,,us.census.tiger.shoreline_clip_county_2014_fc3b5a4f3c,obs_23cb5063486bd7cf36f17e89e5e65cd31b331f6e,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+163,,,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,obs_1a098da56badf5f32e336002b0a81708c40d29cd,2010 - 2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,8
+164,,,us.census.spielman_singleton_segments.spielman_singleton_table_99914b932b,obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d,2010 - 2014,"BOX(0 0,0 0)",,8
+165,,,us.census.tiger.shoreline_clip_block_group_2014_a53159c701,obs_6c1309a64d8f3e6986061f4d1ca7b57743e75e74,2014,"BOX(-179.231086 -14.601813,179.859681 71.441059)",,6
+166,,,es.ine.population_households_housing_99914b932b,obs_4c91815734e7a711b2fdfa483c754cec276dadc1,2011,"BOX(-18.1608741903971 27.6377376448416,4.32788958435346 43.7899939997615)",,3
 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -186,16 +186,12 @@ cartodb_id,the_geom,the_geom_webmercator,id,tablename,timespan,bounds,descriptio
 COPY "obs_column_table" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,column_id,table_id,colname,extra
 36,,,es.ine.the_geom,es.ine.geometry_99914b932b,the_geom,
-883,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_6_2012_6ecae92d5d,region_name,
-1010,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_3_2014_5836f9d496,region_name,
-1405,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,mobile_homes_quantile,
-1902,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,total_pop_quantile,
-3324,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,children_quantile,
-3497,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_to_49_quantile,
-4072,,,es.ine.cusec_id,es.ine.five_year_population_99914b932b,cusec_id,
-6312,,,us.census.tiger.county_geoid,us.bls.simple_qcew_4_2013_94c2fc9ef1,county_fips,
-6266,,,us.census.tiger.county_geoid,us.bls.qcew_4_2013_94c2fc9ef1,county_fips,
-6447,,,us.census.tiger.zcta5,us.census.tiger.sum_level_zcta5_2014_6965b297f0,the_geom,
+268,,,us.census.tiger.zcta5_geoid,us.zillow.wide_zillow_zip_all_homes_zhvi_f6890b77a2,region_name,
+681,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_5_2015_9e03f9fbca,region_name,
+1936,,,us.census.tiger.block_group_clipped,us.census.tiger.shoreline_clip_block_group_2014_a53159c701,the_geom,
+2799,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,armed_forces_quantile,
+6462,,,us.census.lodes.total_jobs,us.census.lodes.workplace_area_characteristics_2013_dd20d99063,total_jobs,
+6592,,,us.census.tiger.zcta5,us.census.tiger.sum_level_zcta5_2014_6965b297f0,the_geom,
 1,,,whosonfirst.wof_continent_id,whosonfirst.wof_continent_8b78d60afe,wof_id,
 2,,,whosonfirst.wof_continent_geom,whosonfirst.wof_continent_8b78d60afe,the_geom,
 3,,,whosonfirst.wof_continent_name,whosonfirst.wof_continent_8b78d60afe,name,
@@ -235,6782 +231,6931 @@ cartodb_id,the_geom,the_geom_webmercator,column_id,table_id,colname,extra
 38,,,whosonfirst.wof_disputed_geom,whosonfirst.wof_disputed_6c98ca6941,the_geom,
 39,,,whosonfirst.wof_disputed_name,whosonfirst.wof_disputed_6c98ca6941,name,
 40,,,us.census.acs.B25001001,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,housing_units,"{""stats"": {""count"": 220333.0, ""avg"": 609.5076270917202, ""mode"": 0.0, ""stddev"": 348.306502469025, ""notnull"": 220333.0, ""max"": 24087.0, ""min"": 0.0, ""median"": 536.0}}"
-87,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_1_units_detached_quantile,
 41,,,us.census.acs.B25002003,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,vacant_housing_units,"{""stats"": {""count"": 220333.0, ""avg"": 76.43928962071047, ""mode"": 0.0, ""stddev"": 127.029416988952, ""notnull"": 220333.0, ""max"": 10771.0, ""min"": 0.0, ""median"": 47.0}}"
 42,,,us.census.acs.B25004002,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,vacant_housing_units_for_rent,"{""stats"": {""count"": 220333.0, ""avg"": 14.248723523031048, ""mode"": 0.0, ""stddev"": 33.307982801104224, ""notnull"": 220333.0, ""max"": 3681.0, ""min"": 0.0, ""median"": 0.0}}"
 43,,,us.census.acs.B25081002,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,mortgaged_housing_units,"{""stats"": {""count"": 220333.0, ""avg"": 224.16568103733894, ""mode"": 0.0, ""stddev"": 193.68652042675, ""notnull"": 220333.0, ""max"": 8170.0, ""min"": 0.0, ""median"": 182.0}}"
 44,,,us.census.acs.B23008007,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,two_parents_not_in_labor_force_families_with_young_children,"{""stats"": {""count"": 220333.0, ""avg"": 1.06806515592308, ""mode"": 0.0, ""stddev"": 6.990024612707318, ""notnull"": 220333.0, ""max"": 675.0, ""min"": 0.0, ""median"": 0.0}}"
 45,,,us.census.acs.B23008008,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,one_parent_families_with_young_children,"{""stats"": {""count"": 220333.0, ""avg"": 38.69891028579468, ""mode"": 0.0, ""stddev"": 53.98888141157598, ""notnull"": 220333.0, ""max"": 1221.0, ""min"": 0.0, ""median"": 20.0}}"
 46,,,us.census.acs.B23008009,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,father_one_parent_families_with_young_children,"{""stats"": {""count"": 220333.0, ""avg"": 8.50231694752942, ""mode"": 0.0, ""stddev"": 19.870025586854606, ""notnull"": 220333.0, ""max"": 378.0, ""min"": 0.0, ""median"": 0.0}}"
-47,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_7_2012_543542866c,allhomesplusmultifamily_zri,
-48,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,total_pop_quantile,
-49,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commuters_by_public_transportation_quantile,
-50,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_less_than_9_grade_quantile,
-51,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_grade_9_12_quantile,
-52,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_high_school_quantile,
-53,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_some_college_quantile,
-54,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_8_2015_7b15641be6,region_name,
-55,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.zillow_zip_8_2015_7b15641be6,singlefamilyresidence_zhvi,
-56,,,us.zillow.AllHomes_Zhvi,us.zillow.zillow_zip_8_2015_7b15641be6,allhomes_zhvi,
-57,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.zillow_zip_8_2015_7b15641be6,allhomes_medianvaluepersqft,
-58,,,us.zillow.AllHomes_MedianRentalPricePerSqft,us.zillow.zillow_zip_8_2015_7b15641be6,allhomes_medianrentalpricepersqft,
-59,,,us.zillow.Sfr_MedianRentalPricePerSqft,us.zillow.zillow_zip_8_2015_7b15641be6,sfr_medianrentalpricepersqft,
-60,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_8_2015_7b15641be6,singlefamilyresidencerental_zri,
-61,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_8_2015_7b15641be6,allhomesplusmultifamily_zri,
-62,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_associates_degree_quantile,
-63,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_bachelors_degree_quantile,
-64,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_45_64_graduate_degree_quantile,
-65,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_10_14_mins_quantile,
-66,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_15_19_mins_quantile,
-67,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_20_24_mins_quantile,
-68,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_25_29_mins_quantile,
-69,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_30_34_mins_quantile,
-70,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_45_59_mins_quantile,
-71,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-72,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,owner_occupied_housing_units_lower_value_quartile_quantile,
-73,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,owner_occupied_housing_units_median_value_quantile,
-74,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,owner_occupied_housing_units_upper_value_quartile_quantile,
-75,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,less_than_high_school_graduate_quantile,
-76,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,high_school_including_ged_quantile,
-77,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,some_college_and_associates_degree_quantile,
-78,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,bachelors_degree_2_quantile,
-79,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,graduate_professional_degree_quantile,
-80,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,children_in_single_female_hh_quantile,
-81,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,married_households_quantile,
-82,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_male_households_quantile,
-83,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,female_female_households_quantile,
-84,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,occupied_housing_units_quantile,
-85,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,speak_spanish_at_home_low_english_quantile,
-86,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,housing_units_renter_occupied_quantile,
-88,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_1_units_attached_quantile,
-89,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_2_units_quantile,
-90,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_3_to_4_units_quantile,
-91,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_5_to_9_units_quantile,
-92,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_10_to_19_units_quantile,
-93,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_20_to_49_units_quantile,
-94,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,dwellings_50_or_more_units_quantile,
-95,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,mobile_homes_quantile,
-96,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,housing_built_2005_or_later_quantile,
-97,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,housing_built_2000_to_2004_quantile,
-98,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,housing_built_1939_or_earlier_quantile,
-99,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-100,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_construction_quantile,
-101,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_manufacturing_quantile,
-102,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_wholesale_trade_quantile,
-103,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_retail_trade_quantile,
-104,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_10_2012_928f34cbf3,region_name,
-105,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.zillow_zip_10_2012_928f34cbf3,singlefamilyresidence_zhvi,
-106,,,us.zillow.AllHomes_Zhvi,us.zillow.zillow_zip_10_2012_928f34cbf3,allhomes_zhvi,
-107,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.zillow_zip_10_2012_928f34cbf3,allhomes_medianvaluepersqft,
-108,,,us.zillow.AllHomes_MedianRentalPricePerSqft,us.zillow.zillow_zip_10_2012_928f34cbf3,allhomes_medianrentalpricepersqft,
-109,,,us.zillow.Sfr_MedianRentalPricePerSqft,us.zillow.zillow_zip_10_2012_928f34cbf3,sfr_medianrentalpricepersqft,
-110,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_10_2012_928f34cbf3,singlefamilyresidencerental_zri,
-111,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_10_2012_928f34cbf3,allhomesplusmultifamily_zri,
-112,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_1_2014_4a46b8a770,region_name,
-113,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.zillow_zip_1_2014_4a46b8a770,singlefamilyresidence_zhvi,
-114,,,us.zillow.AllHomes_Zhvi,us.zillow.zillow_zip_1_2014_4a46b8a770,allhomes_zhvi,
-115,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.zillow_zip_1_2014_4a46b8a770,allhomes_medianvaluepersqft,
-116,,,us.zillow.AllHomes_MedianRentalPricePerSqft,us.zillow.zillow_zip_1_2014_4a46b8a770,allhomes_medianrentalpricepersqft,
-117,,,us.zillow.Sfr_MedianRentalPricePerSqft,us.zillow.zillow_zip_1_2014_4a46b8a770,sfr_medianrentalpricepersqft,
-118,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_1_2014_4a46b8a770,singlefamilyresidencerental_zri,
-119,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_1_2014_4a46b8a770,allhomesplusmultifamily_zri,
-120,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_transportation_warehousing_utilities_quantile,
-121,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_information_quantile,
-122,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_finance_insurance_real_estate_quantile,
-123,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_science_management_admin_waste_quantile,
-124,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_education_health_social_quantile,
-125,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_arts_entertainment_recreation_accommodation_food_quantile,
-126,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_other_services_not_public_admin_quantile,
-127,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_public_administration_quantile,
-128,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,occupation_management_arts_quantile,
-129,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,occupation_services_quantile,
-130,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,occupation_sales_office_quantile,
-131,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,occupation_natural_resources_construction_maintenance_quantile,
-132,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,occupation_production_transportation_material_quantile,
-133,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_under_5_quantile,
-134,,,es.ine.gender,es.ine.raw_five_year_population_99914b932b,gender,
-135,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,male_10_to_14_quantile,
-136,,,us.census.acs.B23025001,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,pop_16_over,"{""stats"": {""count"": 220333.0, ""avg"": 1142.3012167945792, ""mode"": 0.0, ""stddev"": 673.187502659311, ""notnull"": 220333.0, ""max"": 35069.0, ""min"": 0.0, ""median"": 1000.0}}"
-137,,,us.census.tiger.zcta5_geoid,us.zillow.wide_zillow_zip_single_family_resi_zri_87e0548bc7,region_name,
-138,,,us.census.acs.B23025002,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,pop_in_labor_force,"{""stats"": {""count"": 220333.0, ""avg"": 727.4935529403222, ""mode"": 0.0, ""stddev"": 471.431809598912, ""notnull"": 220333.0, ""max"": 24454.0, ""min"": 0.0, ""median"": 626.0}}"
-139,,,us.census.acs.B23025003,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,civilian_labor_force,"{""stats"": {""count"": 220333.0, ""avg"": 722.8330209274144, ""mode"": 0.0, ""stddev"": 462.671668319767, ""notnull"": 220333.0, ""max"": 18474.0, ""min"": 0.0, ""median"": 623.0}}"
-140,,,us.census.acs.B23025004,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,employed_pop,"{""stats"": {""count"": 220333.0, ""avg"": 655.8998379725234, ""mode"": 0.0, ""stddev"": 431.805329417652, ""notnull"": 220333.0, ""max"": 17079.0, ""min"": 0.0, ""median"": 564.0}}"
-141,,,us.census.acs.B23025005,us.census.acs.extract_block_group_5yr_2014_371cb0f0d8,unemployed_pop,"{""stats"": {""count"": 220333.0, ""avg"": 66.93318295489101, ""mode"": 0.0, ""stddev"": 62.05463506731425, ""notnull"": 220333.0, ""max"": 1503.0, ""min"": 0.0, ""median"": 51.0}}"
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-1293,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_state_5yr_2014_145c76ec6e,female_62_to_64_quantile,"{""stats"": {""count"": 52.0, ""avg"": 0.5, ""mode"": 0.0, ""stddev"": 0.29428100038830657, ""notnull"": 52.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
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-1325,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_12_2013_c178eaf491,singlefamilyresidencerental_zri,
-1326,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_12_2013_c178eaf491,allhomesplusmultifamily_zri,
-1327,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_10_2011_d6113a2d6e,region_name,
-1328,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.zillow_zip_10_2011_d6113a2d6e,singlefamilyresidence_zhvi,
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-1330,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.zillow_zip_10_2011_d6113a2d6e,allhomes_medianvaluepersqft,
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-1332,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_12_2012_b046d5bcf8,allhomesplusmultifamily_zri,
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-1347,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_8_2014_bffa3eb925,singlefamilyresidencerental_zri,
-1348,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_8_2014_bffa3eb925,allhomesplusmultifamily_zri,
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-1351,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_10_2011_d6113a2d6e,singlefamilyresidencerental_zri,
-1352,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_10_2011_d6113a2d6e,allhomesplusmultifamily_zri,
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-1354,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,housing_built_2000_to_2004_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998825876636971, ""mode"": 0.0372786579683131, ""stddev"": 0.28886106239191045, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258466}}"
-1355,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,housing_built_1939_or_earlier_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998725540704551, ""mode"": 0.35632183908046, ""stddev"": 0.2888461561121984, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-1356,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_agriculture_forestry_fishing_hunting_mining_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49960589203467765, ""mode"": 0.151599875737807, ""stddev"": 0.2889428134265878, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-1357,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_construction_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4997892945419182, ""mode"": 0.0487729108418764, ""stddev"": 0.28891302352347664, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499689344516931}}"
-1358,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_manufacturing_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998683090886989, ""mode"": 0.0267163715439577, ""stddev"": 0.2888869045349133, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-1359,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,commuters_by_public_transportation_quantile,
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-1362,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,hispanic_male_45_54_quantile,
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-1365,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,white_male_55_64_quantile,
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-1382,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,owner_occupied_housing_units_lower_value_quartile_quantile,
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-1389,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,graduate_professional_degree_quantile,
-1390,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,children_in_single_female_hh_quantile,
-1391,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,married_households_quantile,
-1392,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_male_households_quantile,
-1393,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_female_households_quantile,
-1394,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,occupied_housing_units_quantile,
-1395,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,speak_spanish_at_home_low_english_quantile,
-1396,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,housing_units_renter_occupied_quantile,
-1397,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_1_units_detached_quantile,
-1398,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_1_units_attached_quantile,
-1399,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_2_units_quantile,
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-1401,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_5_to_9_units_quantile,
-1402,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_10_to_19_units_quantile,
-1403,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_20_to_49_units_quantile,
-1404,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,dwellings_50_or_more_units_quantile,
-1406,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_10_2013_230b2f367e,region_name,
-1407,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.zillow_zip_10_2013_230b2f367e,singlefamilyresidence_zhvi,
-1408,,,us.zillow.AllHomes_Zhvi,us.zillow.zillow_zip_10_2013_230b2f367e,allhomes_zhvi,
-1409,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.zillow_zip_10_2013_230b2f367e,allhomes_medianvaluepersqft,
-1410,,,us.zillow.AllHomes_MedianRentalPricePerSqft,us.zillow.zillow_zip_10_2013_230b2f367e,allhomes_medianrentalpricepersqft,
-1411,,,us.zillow.Sfr_MedianRentalPricePerSqft,us.zillow.zillow_zip_10_2013_230b2f367e,sfr_medianrentalpricepersqft,
-1412,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_10_2013_230b2f367e,singlefamilyresidencerental_zri,
-1413,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.zillow_zip_10_2013_230b2f367e,allhomesplusmultifamily_zri,
-1414,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,housing_built_2005_or_later_quantile,
-1415,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,housing_built_2000_to_2004_quantile,
-1416,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,housing_built_1939_or_earlier_quantile,
-1417,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-1418,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_construction_quantile,
-1419,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_manufacturing_quantile,
-1420,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_wholesale_trade_quantile,
-1421,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_retail_trade_quantile,
-1422,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_transportation_warehousing_utilities_quantile,
-1423,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_information_quantile,
-1424,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_finance_insurance_real_estate_quantile,
-1425,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_science_management_admin_waste_quantile,
-1426,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_education_health_social_quantile,
-1427,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_arts_entertainment_recreation_accommodation_food_quantile,
-1428,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_other_services_not_public_admin_quantile,
-1429,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,employed_public_administration_quantile,
-1430,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,occupation_management_arts_quantile,
-1431,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,occupation_services_quantile,
-1432,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,occupation_sales_office_quantile,
-1433,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,occupation_natural_resources_construction_maintenance_quantile,
-1434,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,occupation_production_transportation_material_quantile,
-1435,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_under_5_quantile,
-1436,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_10_to_14_quantile,
-1437,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_15_to_17_quantile,
-1438,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_18_to_19_quantile,
-1439,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_20_quantile,
-1440,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_21_quantile,
-1441,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_22_to_24_quantile,
-1442,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_25_to_29_quantile,
-1443,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_30_to_34_quantile,
-1444,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_35_to_39_quantile,
-1445,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_40_to_44_quantile,
-1446,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_45_to_64_quantile,
-1447,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_45_to_49_quantile,
-1448,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_50_to_54_quantile,
-1449,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_55_to_59_quantile,
-1450,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_60_61_quantile,
-1451,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_62_64_quantile,
-1452,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_65_to_66_quantile,
-1453,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_67_to_69_quantile,
-1454,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_70_to_74_quantile,
-1455,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_75_to_79_quantile,
-1456,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_80_to_84_quantile,
-1457,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,male_85_and_over_quantile,
-1458,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_under_5_quantile,
-1459,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_5_to_9_quantile,
-1460,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_10_to_14_quantile,
-1461,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_15_to_17_quantile,
-1462,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_18_to_19_quantile,
-1463,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_20_quantile,
-1464,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_21_quantile,
-1465,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_22_to_24_quantile,
-1466,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_25_to_29_quantile,
-1467,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_30_to_34_quantile,
-1468,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_35_to_39_quantile,
-1469,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_40_to_44_quantile,
-1470,,,us.census.tiger.zcta5_geoid,us.zillow.zillow_zip_7_2012_543542866c,region_name,
-1471,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.zillow_zip_7_2012_543542866c,singlefamilyresidence_zhvi,
-1472,,,us.zillow.AllHomes_Zhvi,us.zillow.zillow_zip_7_2012_543542866c,allhomes_zhvi,
-1473,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.zillow_zip_7_2012_543542866c,allhomes_medianvaluepersqft,
-1474,,,us.zillow.AllHomes_MedianRentalPricePerSqft,us.zillow.zillow_zip_7_2012_543542866c,allhomes_medianrentalpricepersqft,
-1475,,,us.zillow.Sfr_MedianRentalPricePerSqft,us.zillow.zillow_zip_7_2012_543542866c,sfr_medianrentalpricepersqft,
-1476,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.zillow_zip_7_2012_543542866c,singlefamilyresidencerental_zri,
-1477,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_45_to_49_quantile,
-1478,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_50_to_54_quantile,
-1479,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_55_to_59_quantile,
-1480,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_60_to_61_quantile,
-1481,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_62_to_64_quantile,
-1482,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_65_to_66_quantile,
-1483,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_67_to_69_quantile,
-1484,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_70_to_74_quantile,
-1485,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_75_to_79_quantile,
-1486,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_80_to_84_quantile,
-1487,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,female_85_and_over_quantile,
-1488,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,white_including_hispanic_quantile,
-1489,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,black_including_hispanic_quantile,
-1490,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,amerindian_including_hispanic_quantile,
-1491,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,asian_including_hispanic_quantile,
-1492,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,hispanic_any_race_quantile,
-1493,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,commute_5_9_mins_quantile,
-1494,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,commute_35_39_mins_quantile,
-1495,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,commute_40_44_mins_quantile,
-1496,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,commute_60_89_mins_quantile,
-1497,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,commute_90_more_mins_quantile,
-1498,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,households_public_asst_or_food_stamps_quantile,
-1499,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,households_retirement_income_quantile,
-1500,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,population_1_year_and_over_quantile,
-1501,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,different_house_year_ago_same_city_quantile,
-1502,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,different_house_year_ago_different_city_quantile,
-1503,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,group_quarters_quantile,
-1504,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,no_car_quantile,
-1505,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_wholesale_trade_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49931105875633613, ""mode"": 0.0, ""stddev"": 0.28934518965719985, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-1506,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_retail_trade_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998732294084618, ""mode"": 0.12457284871078, ""stddev"": 0.28886387124768476, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499689344516931}}"
-1507,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_transportation_warehousing_utilities_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49971819109750143, ""mode"": 0.354457906182044, ""stddev"": 0.2889605791055862, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499689344516931}}"
-1508,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_information_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4987405910944142, ""mode"": 0.0, ""stddev"": 0.2899074682226246, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499534016775396}}"
-1509,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_finance_insurance_real_estate_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49964033427301796, ""mode"": 0.0956818887853371, ""stddev"": 0.2890519619913573, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-1510,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_science_management_admin_waste_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49975157209040266, ""mode"": 0.0173967070518795, ""stddev"": 0.2889763268632049, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258466}}"
-1511,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_education_health_social_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999347816439271, ""mode"": 0.268095681888785, ""stddev"": 0.28881120323533443, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-1512,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_arts_entertainment_recreation_accommodation_food_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998068533300917, ""mode"": 0.134513824168997, ""stddev"": 0.28892353153983724, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499534016775396}}"
-1513,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_other_services_not_public_admin_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4996878973640593, ""mode"": 0.246971109040075, ""stddev"": 0.28899988514843494, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499534016775396}}"
-1514,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,employed_public_administration_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4997145249768938, ""mode"": 0.100963031997515, ""stddev"": 0.28897346712863115, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258466}}"
-1515,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,occupation_management_arts_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999465518206148, ""mode"": 0.252252252252252, ""stddev"": 0.28880616448092095, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-1516,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,occupation_services_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999214678375098, ""mode"": 0.0497048772910842, ""stddev"": 0.2888226469941819, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
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-1899,,,us.census.acs.B08134008,us.census.acs.extract_school_district_5yr_2014_4e4488529e,commute_35_44_mins,"{""stats"": {""count"": 10923.0, ""avg"": 812.7714913485306, ""mode"": 0.0, ""stddev"": 5718.744149881409, ""notnull"": 10923.0, ""max"": 367990.0, ""min"": 0.0, ""median"": 186.0}}"
-1900,,,us.census.acs.B08303011,us.census.acs.extract_school_district_5yr_2014_4e4488529e,commute_45_59_mins,"{""stats"": {""count"": 10923.0, ""avg"": 960.7827519912112, ""mode"": 0.0, ""stddev"": 7699.884100740281, ""notnull"": 10923.0, ""max"": 563856.0, ""min"": 0.0, ""median"": 215.0}}"
-1901,,,us.census.acs.B15003020,us.census.acs.extract_zcta5_5yr_2014_c1e63810ce,one_year_more_college,"{""stats"": {""count"": 33120.0, ""avg"": 948.0735507246377, ""mode"": 0.0, ""stddev"": 1435.264976848887, ""notnull"": 33120.0, ""max"": 13386.0, ""min"": 0.0, ""median"": 269.0}}"
-1903,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_pop_quantile,
-1904,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_pop_quantile,
-1905,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,median_age_quantile,
-1906,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,white_pop_quantile,
-1907,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,black_pop_quantile,
-1908,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,asian_pop_quantile,
-1909,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,hispanic_pop_quantile,
-1910,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,amerindian_pop_quantile,
-1911,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,other_race_pop_quantile,
-1912,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,two_or_more_races_pop_quantile,
-1913,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,not_hispanic_pop_quantile,
-1914,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,not_us_citizen_pop_quantile,
-1915,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,workers_16_and_over_quantile,
-1916,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_by_car_truck_van_quantile,
-1917,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_drove_alone_quantile,
-1918,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_by_carpool_quantile,
-1919,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_by_public_transportation_quantile,
-1920,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_by_bus_quantile,
-1921,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_by_subway_or_elevated_quantile,
-1922,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,walked_to_work_quantile,
-1923,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,worked_at_home_quantile,
-1924,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,children_quantile,
-1925,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,households_quantile,
-1926,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,population_3_years_over_quantile,
-1927,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,in_school_quantile,
-1936,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,associates_degree_quantile,
-1937,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,bachelors_degree_quantile,
-1938,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,masters_degree_quantile,
-1939,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_5_years_over_quantile,
-1945,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,gini_index_quantile,
-1946,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_per_capita_quantile,
-1947,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,housing_units_quantile,
-1948,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,vacant_housing_units_quantile,
-1949,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,vacant_housing_units_for_rent_quantile,
-1950,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,vacant_housing_units_for_sale_quantile,
-1951,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,median_rent_quantile,
-1952,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,percent_income_spent_on_rent_quantile,
-1953,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,owner_occupied_housing_units_quantile,
-1954,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,million_dollar_housing_units_quantile,
-1955,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,mortgaged_housing_units_quantile,
-1956,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,families_with_young_children_quantile,
-1957,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,two_parent_families_with_young_children_quantile,
-1958,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,two_parents_in_labor_force_families_with_young_children_quantile,
-1959,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,two_parents_father_in_labor_force_families_with_young_children_quantile,
-1960,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-1961,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,two_parents_not_in_labor_force_families_with_young_children_quantile,
-1962,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,one_parent_families_with_young_children_quantile,
-1963,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,father_one_parent_families_with_young_children_quantile,
-1964,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_16_over_quantile,
-1965,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_in_labor_force_quantile,
-1966,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,civilian_labor_force_quantile,
-1967,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_pop_quantile,
-1968,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,unemployed_pop_quantile,
-1969,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,armed_forces_quantile,
-1970,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,not_in_labor_force_quantile,
-1971,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,black_male_45_54_quantile,
-1972,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,black_male_55_64_quantile,
-1973,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,hispanic_male_45_54_quantile,
-1974,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,hispanic_male_55_64_quantile,
-1975,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,white_male_45_54_quantile,
-1976,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,white_male_55_64_quantile,
-1977,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,asian_male_45_54_quantile,
-1978,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,asian_male_55_64_quantile,
-1979,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_less_than_9_grade_quantile,
-1980,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_grade_9_12_quantile,
-1981,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_high_school_quantile,
-1982,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_some_college_quantile,
-1983,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_associates_degree_quantile,
-1984,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_bachelors_degree_quantile,
-1985,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_64_graduate_degree_quantile,
-1986,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,father_in_labor_force_one_parent_families_with_young_children_quantile,
-1987,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_15_and_over_quantile,
-1988,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_never_married_quantile,
-1989,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_now_married_quantile,
-1990,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_separated_quantile,
-1991,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_widowed_quantile,
-1992,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,pop_divorced_quantile,
-1993,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commuters_16_over_quantile,
-1994,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_less_10_mins_quantile,
-1995,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_10_14_mins_quantile,
-1996,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_15_19_mins_quantile,
-1997,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_20_24_mins_quantile,
-1998,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_25_29_mins_quantile,
-1999,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_30_34_mins_quantile,
-2000,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_35_44_mins_quantile,
-2001,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_45_59_mins_quantile,
-2002,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_60_more_mins_quantile,
-2003,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,aggregate_travel_time_to_work_quantile,
-2004,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_less_10000_quantile,
-2005,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_10000_14999_quantile,
-2006,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_15000_19999_quantile,
-2007,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_20000_24999_quantile,
-2008,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_25000_29999_quantile,
-2009,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_30000_34999_quantile,
-2010,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_35000_39999_quantile,
-2011,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_40000_44999_quantile,
-2012,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_45000_49999_quantile,
-2013,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_50000_59999_quantile,
-2014,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_60000_74999_quantile,
-2015,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_75000_99999_quantile,
-2016,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_100000_124999_quantile,
-2017,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_125000_149999_quantile,
-2018,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_150000_199999_quantile,
-2019,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,income_200000_or_more_quantile,
-2020,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-2021,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,owner_occupied_housing_units_lower_value_quartile_quantile,
-2022,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,owner_occupied_housing_units_median_value_quantile,
-2023,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,owner_occupied_housing_units_upper_value_quartile_quantile,
-2024,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,less_than_high_school_graduate_quantile,
-2025,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,high_school_including_ged_quantile,
-2026,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,some_college_and_associates_degree_quantile,
-2027,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,bachelors_degree_2_quantile,
-2028,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,graduate_professional_degree_quantile,
-2029,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,children_in_single_female_hh_quantile,
-2030,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,married_households_quantile,
-2031,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_male_households_quantile,
-2032,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_female_households_quantile,
-2033,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,occupied_housing_units_quantile,
-2034,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,speak_spanish_at_home_low_english_quantile,
-2035,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,housing_units_renter_occupied_quantile,
-2036,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_1_units_detached_quantile,
-2037,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_1_units_attached_quantile,
-2038,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_2_units_quantile,
-2039,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_3_to_4_units_quantile,
-2040,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_5_to_9_units_quantile,
-2041,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_10_to_19_units_quantile,
-2042,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_20_to_49_units_quantile,
-2043,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,dwellings_50_or_more_units_quantile,
-2044,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,mobile_homes_quantile,
-2045,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,housing_built_2005_or_later_quantile,
-2046,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,housing_built_2000_to_2004_quantile,
-2047,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,housing_built_1939_or_earlier_quantile,
-2048,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-2049,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_construction_quantile,
-2050,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_manufacturing_quantile,
-2051,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_wholesale_trade_quantile,
-2052,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_retail_trade_quantile,
-2053,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_transportation_warehousing_utilities_quantile,
-2054,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_information_quantile,
-2055,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_finance_insurance_real_estate_quantile,
-2056,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_science_management_admin_waste_quantile,
-2057,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_education_health_social_quantile,
-2058,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_arts_entertainment_recreation_accommodation_food_quantile,
-2059,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_other_services_not_public_admin_quantile,
-2060,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,employed_public_administration_quantile,
-2061,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,occupation_management_arts_quantile,
-2062,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,occupation_services_quantile,
-2063,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,occupation_sales_office_quantile,
-2064,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,occupation_natural_resources_construction_maintenance_quantile,
-2065,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,occupation_production_transportation_material_quantile,
-2066,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_under_5_quantile,
-2067,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_10_to_14_quantile,
-2068,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_15_to_17_quantile,
-2069,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_18_to_19_quantile,
-2070,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_20_quantile,
-2071,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_21_quantile,
-2072,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_22_to_24_quantile,
-2073,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_25_to_29_quantile,
-2074,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_30_to_34_quantile,
-2075,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_35_to_39_quantile,
-2076,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_40_to_44_quantile,
-2077,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_to_64_quantile,
-2078,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_45_to_49_quantile,
-2079,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_50_to_54_quantile,
-2080,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_55_to_59_quantile,
-2081,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_60_61_quantile,
-2082,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_62_64_quantile,
-2083,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_65_to_66_quantile,
-2084,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_67_to_69_quantile,
-2085,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_70_to_74_quantile,
-2086,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_75_to_79_quantile,
-2087,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_80_to_84_quantile,
-2088,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,male_85_and_over_quantile,
-2089,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_under_5_quantile,
-2090,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_5_to_9_quantile,
-2091,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_10_to_14_quantile,
-2092,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_15_to_17_quantile,
-2093,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_18_to_19_quantile,
-2094,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_20_quantile,
-2095,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_21_quantile,
-2096,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_22_to_24_quantile,
-2097,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_25_to_29_quantile,
-2098,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_30_to_34_quantile,
-2099,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_35_to_39_quantile,
-2100,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_40_to_44_quantile,
-2101,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_45_to_49_quantile,
-2102,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_50_to_54_quantile,
-2103,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_55_to_59_quantile,
-2104,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_60_to_61_quantile,
-2105,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_62_to_64_quantile,
-2106,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_65_to_66_quantile,
-2107,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_67_to_69_quantile,
-2108,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_70_to_74_quantile,
-2109,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_75_to_79_quantile,
-2110,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_80_to_84_quantile,
-2111,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,female_85_and_over_quantile,
-2112,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,white_including_hispanic_quantile,
-2113,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,black_including_hispanic_quantile,
-2114,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,amerindian_including_hispanic_quantile,
-2115,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,asian_including_hispanic_quantile,
-2116,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,hispanic_any_race_quantile,
-2117,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_5_9_mins_quantile,
-2118,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_35_39_mins_quantile,
-2119,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_40_44_mins_quantile,
-2120,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_60_89_mins_quantile,
-2121,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,commute_90_more_mins_quantile,
-2122,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,households_public_asst_or_food_stamps_quantile,
-2123,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,households_retirement_income_quantile,
-2124,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,population_1_year_and_over_quantile,
-2125,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,different_house_year_ago_same_city_quantile,
-2126,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,different_house_year_ago_different_city_quantile,
-2127,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,group_quarters_quantile,
-2128,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_state_5yr_2011_a9c56e3be2,no_car_quantile,
-2129,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,total_pop_quantile,
-2130,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_pop_quantile,
-2131,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_pop_quantile,
-2132,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,median_age_quantile,
-2133,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,white_pop_quantile,
-2134,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,black_pop_quantile,
-2135,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,asian_pop_quantile,
-2136,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,hispanic_pop_quantile,
-2137,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,amerindian_pop_quantile,
-2138,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,other_race_pop_quantile,
-2139,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,two_or_more_races_pop_quantile,
-2140,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,not_hispanic_pop_quantile,
-2141,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,not_us_citizen_pop_quantile,
-2142,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,workers_16_and_over_quantile,
-2143,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_by_car_truck_van_quantile,
-2144,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_drove_alone_quantile,
-2145,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_by_carpool_quantile,
-2146,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_by_public_transportation_quantile,
-2147,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_by_bus_quantile,
-2148,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_by_subway_or_elevated_quantile,
-2149,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,walked_to_work_quantile,
-2150,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,worked_at_home_quantile,
-2151,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,children_quantile,
-2152,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,households_quantile,
-2153,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,population_3_years_over_quantile,
-2154,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,in_school_quantile,
-2155,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,in_grades_1_to_4_quantile,
-2156,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,in_grades_5_to_8_quantile,
-2157,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,in_grades_9_to_12_quantile,
-2158,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,in_undergrad_college_quantile,
-2159,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_25_years_over_quantile,
-2160,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,high_school_diploma_quantile,
-2161,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,less_one_year_college_quantile,
-2162,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,one_year_more_college_quantile,
-2163,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,associates_degree_quantile,
-2164,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,bachelors_degree_quantile,
-2165,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,masters_degree_quantile,
-2166,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_5_years_over_quantile,
-2167,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,speak_only_english_at_home_quantile,
-2168,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,speak_spanish_at_home_quantile,
-2169,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_determined_poverty_status_quantile,
-2170,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,poverty_quantile,
-2171,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,median_income_quantile,
-2172,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,gini_index_quantile,
-2173,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_per_capita_quantile,
-2174,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,housing_units_quantile,
-2175,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,vacant_housing_units_quantile,
-2176,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,vacant_housing_units_for_rent_quantile,
-2177,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,vacant_housing_units_for_sale_quantile,
-2178,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,median_rent_quantile,
-2179,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,percent_income_spent_on_rent_quantile,
-2180,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,owner_occupied_housing_units_quantile,
-2181,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,million_dollar_housing_units_quantile,
-2182,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,mortgaged_housing_units_quantile,
-2183,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,families_with_young_children_quantile,
-2184,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,two_parent_families_with_young_children_quantile,
-2185,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,two_parents_in_labor_force_families_with_young_children_quantile,
-2186,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,two_parents_father_in_labor_force_families_with_young_children_quantile,
-2187,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-2188,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,two_parents_not_in_labor_force_families_with_young_children_quantile,
-2189,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,one_parent_families_with_young_children_quantile,
-2190,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,father_one_parent_families_with_young_children_quantile,
-2191,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_16_over_quantile,
-2192,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_in_labor_force_quantile,
-2193,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,civilian_labor_force_quantile,
-2194,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_pop_quantile,
-2195,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,unemployed_pop_quantile,
-2196,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,armed_forces_quantile,
-2197,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,not_in_labor_force_quantile,
-2198,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,black_male_45_54_quantile,
-2199,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,black_male_55_64_quantile,
-2200,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,hispanic_male_45_54_quantile,
-2201,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,hispanic_male_55_64_quantile,
-2202,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,white_male_45_54_quantile,
-2203,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,white_male_55_64_quantile,
-2204,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,asian_male_45_54_quantile,
-2205,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,asian_male_55_64_quantile,
-2206,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_less_than_9_grade_quantile,
-2207,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_grade_9_12_quantile,
-2208,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_high_school_quantile,
-2209,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_some_college_quantile,
-2210,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_associates_degree_quantile,
-2211,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_bachelors_degree_quantile,
-2212,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_64_graduate_degree_quantile,
-2213,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,father_in_labor_force_one_parent_families_with_young_children_quantile,
-2214,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_15_and_over_quantile,
-2215,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_never_married_quantile,
-2216,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_now_married_quantile,
-2217,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_separated_quantile,
-2218,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_widowed_quantile,
-2219,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,pop_divorced_quantile,
-2220,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commuters_16_over_quantile,
-2221,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_less_10_mins_quantile,
-2222,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_10_14_mins_quantile,
-2223,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_15_19_mins_quantile,
-2224,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_20_24_mins_quantile,
-2225,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_25_29_mins_quantile,
-2226,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_30_34_mins_quantile,
-2227,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_35_44_mins_quantile,
-2228,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_45_59_mins_quantile,
-2229,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_60_more_mins_quantile,
-2230,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,aggregate_travel_time_to_work_quantile,
-2231,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_less_10000_quantile,
-2232,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_10000_14999_quantile,
-2233,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_15000_19999_quantile,
-2234,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_20000_24999_quantile,
-2235,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_25000_29999_quantile,
-2236,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_30000_34999_quantile,
-2237,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_35000_39999_quantile,
-2238,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_40000_44999_quantile,
-2239,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_45000_49999_quantile,
-2240,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_50000_59999_quantile,
-2241,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_60000_74999_quantile,
-2242,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_75000_99999_quantile,
-2243,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_100000_124999_quantile,
-2244,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_125000_149999_quantile,
-2245,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_150000_199999_quantile,
-2246,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,income_200000_or_more_quantile,
-2247,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-2248,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,owner_occupied_housing_units_lower_value_quartile_quantile,
-2249,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,owner_occupied_housing_units_median_value_quantile,
-2250,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,owner_occupied_housing_units_upper_value_quartile_quantile,
-2300,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_25_to_29_quantile,
-2251,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,less_than_high_school_graduate_quantile,
-2252,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,high_school_including_ged_quantile,
-2253,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,some_college_and_associates_degree_quantile,
-2254,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,bachelors_degree_2_quantile,
-2255,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,graduate_professional_degree_quantile,
-2256,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,children_in_single_female_hh_quantile,
-2257,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,married_households_quantile,
-2258,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_male_households_quantile,
-4075,,,us.census.tiger.aland,us.census.tiger.sum_level_block_2014_22a559b9ef,aland,
-2259,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_female_households_quantile,
-2260,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,occupied_housing_units_quantile,
-2261,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,speak_spanish_at_home_low_english_quantile,
-2262,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,housing_units_renter_occupied_quantile,
-2263,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_1_units_detached_quantile,
-2264,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_1_units_attached_quantile,
-2265,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_2_units_quantile,
-2266,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_3_to_4_units_quantile,
-2267,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_5_to_9_units_quantile,
-2268,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_10_to_19_units_quantile,
-2269,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_20_to_49_units_quantile,
-2270,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,dwellings_50_or_more_units_quantile,
-2271,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,mobile_homes_quantile,
-2272,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,housing_built_2005_or_later_quantile,
-2273,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,housing_built_2000_to_2004_quantile,
-2274,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,housing_built_1939_or_earlier_quantile,
-2275,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-2276,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_construction_quantile,
-2277,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_manufacturing_quantile,
-2278,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_wholesale_trade_quantile,
-2279,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_retail_trade_quantile,
-2280,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_transportation_warehousing_utilities_quantile,
-2281,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_information_quantile,
-2282,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_finance_insurance_real_estate_quantile,
-2283,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_science_management_admin_waste_quantile,
-2284,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_education_health_social_quantile,
-2285,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_arts_entertainment_recreation_accommodation_food_quantile,
-2286,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_other_services_not_public_admin_quantile,
-2287,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,employed_public_administration_quantile,
-2288,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,occupation_management_arts_quantile,
-2289,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,occupation_services_quantile,
-2290,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,occupation_sales_office_quantile,
-2291,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,occupation_natural_resources_construction_maintenance_quantile,
-2292,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,occupation_production_transportation_material_quantile,
-2293,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_under_5_quantile,
-2294,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_10_to_14_quantile,
-2295,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_15_to_17_quantile,
-2296,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_18_to_19_quantile,
-2297,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_20_quantile,
-2298,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_21_quantile,
-2299,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_22_to_24_quantile,
-2301,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_30_to_34_quantile,
-2302,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_35_to_39_quantile,
-2303,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_40_to_44_quantile,
-2304,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_to_64_quantile,
-2305,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_45_to_49_quantile,
-2306,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_50_to_54_quantile,
-2307,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_55_to_59_quantile,
-2308,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_60_61_quantile,
-2309,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_62_64_quantile,
-2310,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_65_to_66_quantile,
-2311,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_67_to_69_quantile,
-2312,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_70_to_74_quantile,
-2313,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_75_to_79_quantile,
-2314,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_80_to_84_quantile,
-2315,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,male_85_and_over_quantile,
-2316,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_under_5_quantile,
-2317,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_5_to_9_quantile,
-2318,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_10_to_14_quantile,
-2319,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_15_to_17_quantile,
-2320,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_18_to_19_quantile,
-2321,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_20_quantile,
-2322,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_21_quantile,
-2323,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_22_to_24_quantile,
-2324,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_25_to_29_quantile,
-2325,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_30_to_34_quantile,
-2326,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_35_to_39_quantile,
-2327,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_40_to_44_quantile,
-2328,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_45_to_49_quantile,
-2329,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_50_to_54_quantile,
-2330,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_55_to_59_quantile,
-2331,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_60_to_61_quantile,
-2332,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_62_to_64_quantile,
-2333,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_65_to_66_quantile,
-2334,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_67_to_69_quantile,
-2335,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_70_to_74_quantile,
-2336,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_75_to_79_quantile,
-2337,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_80_to_84_quantile,
-2338,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,female_85_and_over_quantile,
-2339,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,white_including_hispanic_quantile,
-2340,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,black_including_hispanic_quantile,
-2341,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,amerindian_including_hispanic_quantile,
-2342,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,asian_including_hispanic_quantile,
-2343,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,hispanic_any_race_quantile,
-2344,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_5_9_mins_quantile,
-2345,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_35_39_mins_quantile,
-2346,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_40_44_mins_quantile,
-2347,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_60_89_mins_quantile,
-2348,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,commute_90_more_mins_quantile,
-2349,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,households_public_asst_or_food_stamps_quantile,
-2350,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,households_retirement_income_quantile,
-2351,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,population_1_year_and_over_quantile,
-2352,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,different_house_year_ago_same_city_quantile,
-2353,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,different_house_year_ago_different_city_quantile,
-2354,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,group_quarters_quantile,
-2355,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_school_district_5yr_2011_267f624da9,no_car_quantile,
-2356,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,total_pop_quantile,
-2357,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_pop_quantile,
-2358,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_pop_quantile,
-2359,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,median_age_quantile,
-2360,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,white_pop_quantile,
-2361,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,black_pop_quantile,
-2362,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,asian_pop_quantile,
-2363,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,hispanic_pop_quantile,
-2364,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,amerindian_pop_quantile,
-2365,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,other_race_pop_quantile,
-2366,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,two_or_more_races_pop_quantile,
-2367,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,not_hispanic_pop_quantile,
-2368,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,not_us_citizen_pop_quantile,
-2369,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,workers_16_and_over_quantile,
-2370,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_by_car_truck_van_quantile,
-2371,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_drove_alone_quantile,
-2372,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_by_carpool_quantile,
-2373,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_by_public_transportation_quantile,
-2374,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_by_bus_quantile,
-2375,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_by_subway_or_elevated_quantile,
-2376,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,walked_to_work_quantile,
-2377,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,worked_at_home_quantile,
-2378,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,children_quantile,
-2379,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,households_quantile,
-2380,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,population_3_years_over_quantile,
-2381,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,in_school_quantile,
-2382,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,in_grades_1_to_4_quantile,
-2383,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,in_grades_5_to_8_quantile,
-2384,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,in_grades_9_to_12_quantile,
-2385,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,in_undergrad_college_quantile,
-2386,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_25_years_over_quantile,
-2387,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,high_school_diploma_quantile,
-2388,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,less_one_year_college_quantile,
-2389,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,one_year_more_college_quantile,
-2390,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,associates_degree_quantile,
-2391,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,bachelors_degree_quantile,
-2392,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,masters_degree_quantile,
-2393,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_5_years_over_quantile,
-2394,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,speak_only_english_at_home_quantile,
-2395,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,speak_spanish_at_home_quantile,
-2396,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_determined_poverty_status_quantile,
-2397,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,poverty_quantile,
-2398,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,median_income_quantile,
-2399,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,gini_index_quantile,
-2400,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_per_capita_quantile,
-2401,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,housing_units_quantile,
-2402,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,vacant_housing_units_quantile,
-2403,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,vacant_housing_units_for_rent_quantile,
-2404,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,vacant_housing_units_for_sale_quantile,
-2405,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,median_rent_quantile,
-2406,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,percent_income_spent_on_rent_quantile,
-2407,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,owner_occupied_housing_units_quantile,
-2408,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,million_dollar_housing_units_quantile,
-2409,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,mortgaged_housing_units_quantile,
-2410,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,families_with_young_children_quantile,
-2411,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,two_parent_families_with_young_children_quantile,
-2412,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,two_parents_in_labor_force_families_with_young_children_quantile,
-2413,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,two_parents_father_in_labor_force_families_with_young_children_quantile,
-2414,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-2415,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,two_parents_not_in_labor_force_families_with_young_children_quantile,
-2416,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,one_parent_families_with_young_children_quantile,
-2417,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,father_one_parent_families_with_young_children_quantile,
-2418,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_16_over_quantile,
-2419,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_in_labor_force_quantile,
-2420,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,civilian_labor_force_quantile,
-2421,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_pop_quantile,
-2422,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,unemployed_pop_quantile,
-2423,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,armed_forces_quantile,
-2424,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,not_in_labor_force_quantile,
-2425,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,black_male_45_54_quantile,
-2426,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,black_male_55_64_quantile,
-2427,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,hispanic_male_45_54_quantile,
-2428,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,hispanic_male_55_64_quantile,
-2429,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,white_male_45_54_quantile,
-2430,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,white_male_55_64_quantile,
-2431,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,asian_male_45_54_quantile,
-2432,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,asian_male_55_64_quantile,
-2433,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_less_than_9_grade_quantile,
-2434,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_grade_9_12_quantile,
-2435,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_high_school_quantile,
-2436,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_some_college_quantile,
-2437,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_associates_degree_quantile,
-2438,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_bachelors_degree_quantile,
-2439,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_64_graduate_degree_quantile,
-2440,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,father_in_labor_force_one_parent_families_with_young_children_quantile,
-2441,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_15_and_over_quantile,
-2442,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_never_married_quantile,
-2443,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_now_married_quantile,
-2444,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_separated_quantile,
-2445,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_widowed_quantile,
-2446,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,pop_divorced_quantile,
-2447,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commuters_16_over_quantile,
-2448,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_less_10_mins_quantile,
-2449,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_10_14_mins_quantile,
-2450,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_15_19_mins_quantile,
-2451,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_20_24_mins_quantile,
-2452,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_25_29_mins_quantile,
-2453,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_30_34_mins_quantile,
-2454,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_35_44_mins_quantile,
-2455,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_45_59_mins_quantile,
-2456,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_60_more_mins_quantile,
-2457,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,aggregate_travel_time_to_work_quantile,
-2458,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_less_10000_quantile,
-2459,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_10000_14999_quantile,
-2460,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_15000_19999_quantile,
-2461,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_20000_24999_quantile,
-2462,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_25000_29999_quantile,
-2463,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_30000_34999_quantile,
-2464,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_35000_39999_quantile,
-2465,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_40000_44999_quantile,
-2466,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_45000_49999_quantile,
-2467,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_50000_59999_quantile,
-2468,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_60000_74999_quantile,
-2469,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_75000_99999_quantile,
-2470,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_100000_124999_quantile,
-2471,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_125000_149999_quantile,
-2472,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_150000_199999_quantile,
-2473,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,income_200000_or_more_quantile,
-2474,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-2475,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,owner_occupied_housing_units_lower_value_quartile_quantile,
-2476,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,owner_occupied_housing_units_median_value_quantile,
-2477,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,owner_occupied_housing_units_upper_value_quartile_quantile,
-2478,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,less_than_high_school_graduate_quantile,
-2479,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,high_school_including_ged_quantile,
-2480,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,some_college_and_associates_degree_quantile,
-2481,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,bachelors_degree_2_quantile,
-2482,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,graduate_professional_degree_quantile,
-2483,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,children_in_single_female_hh_quantile,
-2484,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,married_households_quantile,
-2485,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_male_households_quantile,
-2486,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_female_households_quantile,
-2487,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,occupied_housing_units_quantile,
-2488,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,speak_spanish_at_home_low_english_quantile,
-2489,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,housing_units_renter_occupied_quantile,
-2490,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_1_units_detached_quantile,
-2491,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_1_units_attached_quantile,
-2492,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_2_units_quantile,
-2493,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_3_to_4_units_quantile,
-2494,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_5_to_9_units_quantile,
-2495,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_10_to_19_units_quantile,
-2496,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_20_to_49_units_quantile,
-2497,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,dwellings_50_or_more_units_quantile,
-2498,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,mobile_homes_quantile,
-2499,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,housing_built_2005_or_later_quantile,
-2500,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,housing_built_2000_to_2004_quantile,
-2501,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,housing_built_1939_or_earlier_quantile,
-2502,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-2503,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_construction_quantile,
-2504,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_manufacturing_quantile,
-2505,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_wholesale_trade_quantile,
-2506,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_retail_trade_quantile,
-2507,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_transportation_warehousing_utilities_quantile,
-2508,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_information_quantile,
-2509,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_finance_insurance_real_estate_quantile,
-2510,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_science_management_admin_waste_quantile,
-2511,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_education_health_social_quantile,
-2512,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_arts_entertainment_recreation_accommodation_food_quantile,
-2513,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_other_services_not_public_admin_quantile,
-2514,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,employed_public_administration_quantile,
-2515,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,occupation_management_arts_quantile,
-2516,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,occupation_services_quantile,
-2517,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,occupation_sales_office_quantile,
-2518,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,occupation_natural_resources_construction_maintenance_quantile,
-2519,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,occupation_production_transportation_material_quantile,
-2520,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_under_5_quantile,
-2521,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_10_to_14_quantile,
-2522,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_15_to_17_quantile,
-2523,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_18_to_19_quantile,
-2524,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_20_quantile,
-2525,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_21_quantile,
-2526,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_22_to_24_quantile,
-2527,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_25_to_29_quantile,
-2528,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_30_to_34_quantile,
-2529,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_35_to_39_quantile,
-2530,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_40_to_44_quantile,
-2531,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_to_64_quantile,
-2532,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_45_to_49_quantile,
-2533,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_50_to_54_quantile,
-2534,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_55_to_59_quantile,
-2535,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_60_61_quantile,
-2536,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_62_64_quantile,
-2537,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_65_to_66_quantile,
-2538,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_67_to_69_quantile,
-2539,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_70_to_74_quantile,
-2540,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_75_to_79_quantile,
-2541,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_80_to_84_quantile,
-2542,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,male_85_and_over_quantile,
-2543,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_under_5_quantile,
-2544,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_5_to_9_quantile,
-2545,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_10_to_14_quantile,
-2546,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_15_to_17_quantile,
-2547,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_18_to_19_quantile,
-2548,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_20_quantile,
-2549,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_21_quantile,
-2550,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_22_to_24_quantile,
-2551,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_25_to_29_quantile,
-2552,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_30_to_34_quantile,
-2553,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_35_to_39_quantile,
-2554,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_40_to_44_quantile,
-2555,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_45_to_49_quantile,
-2556,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_50_to_54_quantile,
-2557,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_55_to_59_quantile,
-2558,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_60_to_61_quantile,
-2559,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_62_to_64_quantile,
-2560,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_65_to_66_quantile,
-2561,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_67_to_69_quantile,
-2562,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_70_to_74_quantile,
-2563,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_75_to_79_quantile,
-2564,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_80_to_84_quantile,
-2565,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,female_85_and_over_quantile,
-2566,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,white_including_hispanic_quantile,
-2567,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,black_including_hispanic_quantile,
-2568,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,amerindian_including_hispanic_quantile,
-2569,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,asian_including_hispanic_quantile,
-2570,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,hispanic_any_race_quantile,
-2571,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_5_9_mins_quantile,
-2572,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_35_39_mins_quantile,
-2573,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_40_44_mins_quantile,
-2574,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_60_89_mins_quantile,
-2575,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,commute_90_more_mins_quantile,
-2576,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,households_public_asst_or_food_stamps_quantile,
-2577,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,households_retirement_income_quantile,
-2578,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,population_1_year_and_over_quantile,
-2579,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,different_house_year_ago_same_city_quantile,
-2580,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,different_house_year_ago_different_city_quantile,
-2581,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,group_quarters_quantile,
-2582,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_school_district_5yr_2011_bac1d4e39b,no_car_quantile,
-2583,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,total_pop_quantile,
-2584,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_pop_quantile,
-2585,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_pop_quantile,
-2586,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,median_age_quantile,
-2587,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,white_pop_quantile,
-2588,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,black_pop_quantile,
-2589,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,asian_pop_quantile,
-2590,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,hispanic_pop_quantile,
-2591,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,amerindian_pop_quantile,
-2592,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,other_race_pop_quantile,
-2593,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,two_or_more_races_pop_quantile,
-2594,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,not_hispanic_pop_quantile,
-2595,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,not_us_citizen_pop_quantile,
-2596,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,workers_16_and_over_quantile,
-2597,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_by_car_truck_van_quantile,
-2598,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_drove_alone_quantile,
-2599,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_by_carpool_quantile,
-2600,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_by_public_transportation_quantile,
-2601,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_by_bus_quantile,
-2602,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_by_subway_or_elevated_quantile,
-2603,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,walked_to_work_quantile,
-2604,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,worked_at_home_quantile,
-2605,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,children_quantile,
-2606,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,households_quantile,
-2607,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,population_3_years_over_quantile,
-2608,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,in_school_quantile,
-2609,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,in_grades_1_to_4_quantile,
-2610,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,in_grades_5_to_8_quantile,
-2611,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,in_grades_9_to_12_quantile,
-2612,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,in_undergrad_college_quantile,
-2613,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_25_years_over_quantile,
-2614,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,high_school_diploma_quantile,
-2615,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,less_one_year_college_quantile,
-2616,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,one_year_more_college_quantile,
-2617,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,associates_degree_quantile,
-2618,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,bachelors_degree_quantile,
-2619,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,masters_degree_quantile,
-2620,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_5_years_over_quantile,
-2621,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,speak_only_english_at_home_quantile,
-2622,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,speak_spanish_at_home_quantile,
-2623,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_determined_poverty_status_quantile,
-2624,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,poverty_quantile,
-2625,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,median_income_quantile,
-2626,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,gini_index_quantile,
-2627,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_per_capita_quantile,
-2628,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_units_quantile,
-2629,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,vacant_housing_units_quantile,
-2630,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,vacant_housing_units_for_rent_quantile,
-2631,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,vacant_housing_units_for_sale_quantile,
-2632,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,median_rent_quantile,
-2633,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,percent_income_spent_on_rent_quantile,
-2634,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,owner_occupied_housing_units_quantile,
-2635,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,million_dollar_housing_units_quantile,
-2636,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,mortgaged_housing_units_quantile,
-2637,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,families_with_young_children_quantile,
-2638,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,two_parent_families_with_young_children_quantile,
-2639,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,two_parents_in_labor_force_families_with_young_children_quantile,
-2640,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,two_parents_father_in_labor_force_families_with_young_children_quantile,
-2641,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-2642,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,two_parents_not_in_labor_force_families_with_young_children_quantile,
-2643,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,one_parent_families_with_young_children_quantile,
-2644,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,father_one_parent_families_with_young_children_quantile,
-2645,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_16_over_quantile,
-2646,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_in_labor_force_quantile,
-2647,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,civilian_labor_force_quantile,
-2648,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_pop_quantile,
-2649,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,unemployed_pop_quantile,
-2650,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,armed_forces_quantile,
-2651,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,not_in_labor_force_quantile,
-2652,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,black_male_45_54_quantile,
-2653,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,black_male_55_64_quantile,
-2654,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,hispanic_male_45_54_quantile,
-2655,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,hispanic_male_55_64_quantile,
-2656,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,white_male_45_54_quantile,
-2657,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,white_male_55_64_quantile,
-2658,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,asian_male_45_54_quantile,
-2659,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,asian_male_55_64_quantile,
-2660,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_less_than_9_grade_quantile,
-2661,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_grade_9_12_quantile,
-2662,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_high_school_quantile,
-2663,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_some_college_quantile,
-2664,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_associates_degree_quantile,
-2665,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_bachelors_degree_quantile,
-2666,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_64_graduate_degree_quantile,
-2667,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,father_in_labor_force_one_parent_families_with_young_children_quantile,
-2668,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_15_and_over_quantile,
-2669,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_never_married_quantile,
-2670,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_now_married_quantile,
-2671,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_separated_quantile,
-2672,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_widowed_quantile,
-2673,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,pop_divorced_quantile,
-2674,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commuters_16_over_quantile,
-2675,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_less_10_mins_quantile,
-2676,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_10_14_mins_quantile,
-2677,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_15_19_mins_quantile,
-2678,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_20_24_mins_quantile,
-2679,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_25_29_mins_quantile,
-2680,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_30_34_mins_quantile,
-2681,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_35_44_mins_quantile,
-2682,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_45_59_mins_quantile,
-2683,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_60_more_mins_quantile,
-2684,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,aggregate_travel_time_to_work_quantile,
-2685,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_less_10000_quantile,
-2686,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_10000_14999_quantile,
-2687,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_15000_19999_quantile,
-2688,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_20000_24999_quantile,
-2689,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_25000_29999_quantile,
-2690,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_30000_34999_quantile,
-2691,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_35000_39999_quantile,
-2692,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_40000_44999_quantile,
-2693,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_45000_49999_quantile,
-2694,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_50000_59999_quantile,
-2695,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_60000_74999_quantile,
-2696,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_75000_99999_quantile,
-2697,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_100000_124999_quantile,
-2698,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_125000_149999_quantile,
-2699,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_150000_199999_quantile,
-2700,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_200000_or_more_quantile,
-2701,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-2702,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,owner_occupied_housing_units_lower_value_quartile_quantile,
-2703,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,owner_occupied_housing_units_median_value_quantile,
-2704,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,owner_occupied_housing_units_upper_value_quartile_quantile,
-2705,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,less_than_high_school_graduate_quantile,
-2706,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,high_school_including_ged_quantile,
-2707,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,some_college_and_associates_degree_quantile,
-2708,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,bachelors_degree_2_quantile,
-2709,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,graduate_professional_degree_quantile,
-2710,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,children_in_single_female_hh_quantile,
-2711,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,married_households_quantile,
-2712,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_male_households_quantile,
-2713,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_female_households_quantile,
-2714,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupied_housing_units_quantile,
-2715,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,speak_spanish_at_home_low_english_quantile,
-2716,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_units_renter_occupied_quantile,
-2717,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_1_units_detached_quantile,
-2718,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_1_units_attached_quantile,
-2719,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_2_units_quantile,
-2720,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_3_to_4_units_quantile,
-2721,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_5_to_9_units_quantile,
-2722,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_10_to_19_units_quantile,
-2723,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_20_to_49_units_quantile,
-2724,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_50_or_more_units_quantile,
-2725,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,mobile_homes_quantile,
-2726,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_built_2005_or_later_quantile,
-2727,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_built_2000_to_2004_quantile,
-2728,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_built_1939_or_earlier_quantile,
-2729,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-2730,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_construction_quantile,
-2731,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_manufacturing_quantile,
-2732,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_wholesale_trade_quantile,
-2733,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_retail_trade_quantile,
-2734,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_transportation_warehousing_utilities_quantile,
-2735,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_information_quantile,
-2736,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_finance_insurance_real_estate_quantile,
-2737,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_science_management_admin_waste_quantile,
-2738,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_education_health_social_quantile,
-2739,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_arts_entertainment_recreation_accommodation_food_quantile,
-2740,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_other_services_not_public_admin_quantile,
-2741,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_public_administration_quantile,
-2742,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_management_arts_quantile,
-2743,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_services_quantile,
-2744,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_sales_office_quantile,
-2745,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_natural_resources_construction_maintenance_quantile,
-2746,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_production_transportation_material_quantile,
-2747,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_under_5_quantile,
-2748,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_10_to_14_quantile,
-2749,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_15_to_17_quantile,
-2750,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_18_to_19_quantile,
-2751,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_20_quantile,
-2752,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_21_quantile,
-2753,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_22_to_24_quantile,
-2754,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_25_to_29_quantile,
-2755,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_30_to_34_quantile,
-2756,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_35_to_39_quantile,
-2757,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_40_to_44_quantile,
-2758,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_to_64_quantile,
-2759,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_to_49_quantile,
-2760,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_50_to_54_quantile,
-2761,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_55_to_59_quantile,
-2762,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_60_61_quantile,
-2763,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_62_64_quantile,
-2764,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_65_to_66_quantile,
-2765,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_67_to_69_quantile,
-2766,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_70_to_74_quantile,
-2767,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_75_to_79_quantile,
-2768,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_80_to_84_quantile,
-2769,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_85_and_over_quantile,
-2770,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_under_5_quantile,
-2771,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_5_to_9_quantile,
-2772,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_10_to_14_quantile,
-2773,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_15_to_17_quantile,
-2774,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_18_to_19_quantile,
-2775,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_20_quantile,
-2776,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_21_quantile,
-2777,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_22_to_24_quantile,
-2778,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_25_to_29_quantile,
-2779,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_30_to_34_quantile,
-2780,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_35_to_39_quantile,
-2781,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_40_to_44_quantile,
-2782,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_45_to_49_quantile,
-2783,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_50_to_54_quantile,
-2784,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_55_to_59_quantile,
-2785,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_60_to_61_quantile,
-2786,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_62_to_64_quantile,
-2787,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_65_to_66_quantile,
-2788,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_67_to_69_quantile,
-2789,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_70_to_74_quantile,
-2790,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_75_to_79_quantile,
-2791,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_80_to_84_quantile,
-2792,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_85_and_over_quantile,
-2793,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,white_including_hispanic_quantile,
-2794,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,black_including_hispanic_quantile,
-2795,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,amerindian_including_hispanic_quantile,
-2796,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,asian_including_hispanic_quantile,
-2797,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,hispanic_any_race_quantile,
-2798,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_5_9_mins_quantile,
-2799,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_35_39_mins_quantile,
-2800,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_40_44_mins_quantile,
-2801,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_60_89_mins_quantile,
-2802,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_90_more_mins_quantile,
-2803,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,households_public_asst_or_food_stamps_quantile,
-2804,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,households_retirement_income_quantile,
-2805,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,population_1_year_and_over_quantile,
-2806,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,different_house_year_ago_same_city_quantile,
-2807,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,different_house_year_ago_different_city_quantile,
-2808,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,group_quarters_quantile,
-2809,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,no_car_quantile,
-2876,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,in_grades_9_to_12_quantile,
-2810,,,us.census.acs.B08134010,us.census.acs.extract_school_district_5yr_2014_4e4488529e,commute_60_more_mins,"{""stats"": {""count"": 10923.0, ""avg"": 1038.1638743934816, ""mode"": 0.0, ""stddev"": 10554.338342627232, ""notnull"": 10923.0, ""max"": 882572.0, ""min"": 0.0, ""median"": 220.0}}"
-2811,,,us.census.acs.B08135001,us.census.acs.extract_school_district_5yr_2014_4e4488529e,aggregate_travel_time_to_work,"{""stats"": {""count"": 10923.0, ""avg"": 364745.14359081857, ""mode"": 15480.0, ""stddev"": 2349234.8571, ""notnull"": 9541.0, ""max"": 142203225.0, ""min"": 1010.0, ""median"": 102310.0}}"
-2812,,,us.census.acs.B19001002,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_less_10000,"{""stats"": {""count"": 10923.0, ""avg"": 800.8667948365834, ""mode"": 0.0, ""stddev"": 5784.777144717204, ""notnull"": 10923.0, ""max"": 352530.0, ""min"": 0.0, ""median"": 184.0}}"
-2813,,,us.census.acs.B19001003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_10000_14999,"{""stats"": {""count"": 10923.0, ""avg"": 579.9769294149959, ""mode"": 0.0, ""stddev"": 3490.476679085323, ""notnull"": 10923.0, ""max"": 192457.0, ""min"": 0.0, ""median"": 163.0}}"
-2814,,,us.census.acs.B19001004,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_15000_19999,"{""stats"": {""count"": 10923.0, ""avg"": 581.8692666849767, ""mode"": 0.0, ""stddev"": 3284.295084863669, ""notnull"": 10923.0, ""max"": 171224.0, ""min"": 0.0, ""median"": 171.0}}"
-2815,,,us.census.acs.B19001005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_20000_24999,"{""stats"": {""count"": 10923.0, ""avg"": 574.5705392291495, ""mode"": 21.0, ""stddev"": 3110.513386448077, ""notnull"": 10923.0, ""max"": 158024.0, ""min"": 0.0, ""median"": 175.0}}"
-2816,,,us.census.acs.B19001006,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_25000_29999,"{""stats"": {""count"": 10923.0, ""avg"": 550.9881900576764, ""mode"": 0.0, ""stddev"": 2899.955795429014, ""notnull"": 10923.0, ""max"": 151619.0, ""min"": 0.0, ""median"": 168.0}}"
-2817,,,us.census.acs.B19001007,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_30000_34999,"{""stats"": {""count"": 10923.0, ""avg"": 549.8436327016387, ""mode"": 41.0, ""stddev"": 2857.081640518551, ""notnull"": 10923.0, ""max"": 150586.0, ""min"": 0.0, ""median"": 166.0}}"
-2818,,,us.census.acs.B19001008,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_35000_39999,"{""stats"": {""count"": 10923.0, ""avg"": 504.87082303396505, ""mode"": 0.0, ""stddev"": 2616.267664206901, ""notnull"": 10923.0, ""max"": 144590.0, ""min"": 0.0, ""median"": 155.0}}"
-2819,,,us.census.acs.B19001009,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_40000_44999,"{""stats"": {""count"": 10923.0, ""avg"": 501.7080472397693, ""mode"": 0.0, ""stddev"": 2589.252163550835, ""notnull"": 10923.0, ""max"": 141102.0, ""min"": 0.0, ""median"": 155.0}}"
-2820,,,us.census.acs.B19001010,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_45000_49999,"{""stats"": {""count"": 10923.0, ""avg"": 442.3574109676829, ""mode"": 0.0, ""stddev"": 2252.083747138622, ""notnull"": 10923.0, ""max"": 128490.0, ""min"": 0.0, ""median"": 136.0}}"
-2821,,,us.census.acs.B19001011,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_50000_59999,"{""stats"": {""count"": 10923.0, ""avg"": 845.9555982788611, ""mode"": 0.0, ""stddev"": 4324.317059457113, ""notnull"": 10923.0, ""max"": 247592.0, ""min"": 0.0, ""median"": 267.0}}"
-2822,,,us.census.acs.B19001012,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_60000_74999,"{""stats"": {""count"": 10923.0, ""avg"": 1061.851872196283, ""mode"": 44.0, ""stddev"": 5489.155178269118, ""notnull"": 10923.0, ""max"": 323561.0, ""min"": 0.0, ""median"": 330.0}}"
-2823,,,us.census.acs.B19001013,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_75000_99999,"{""stats"": {""count"": 10923.0, ""avg"": 1297.335530531905, ""mode"": 0.0, ""stddev"": 6955.36623787713, ""notnull"": 10923.0, ""max"": 429431.0, ""min"": 0.0, ""median"": 381.0}}"
-2824,,,us.census.acs.B19001014,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_100000_124999,"{""stats"": {""count"": 10923.0, ""avg"": 863.4558271537123, ""mode"": 0.0, ""stddev"": 4912.572425846435, ""notnull"": 10923.0, ""max"": 313767.0, ""min"": 0.0, ""median"": 218.0}}"
-2825,,,us.census.acs.B19001015,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_125000_149999,"{""stats"": {""count"": 10923.0, ""avg"": 524.0302114803625, ""mode"": 0.0, ""stddev"": 3198.612539262602, ""notnull"": 10923.0, ""max"": 208886.0, ""min"": 0.0, ""median"": 107.0}}"
-2826,,,us.census.acs.B19001016,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_150000_199999,"{""stats"": {""count"": 10923.0, ""avg"": 537.1505996521103, ""mode"": 0.0, ""stddev"": 3667.469071672558, ""notnull"": 10923.0, ""max"": 243401.0, ""min"": 0.0, ""median"": 82.0}}"
-2827,,,us.census.acs.B19001017,us.census.acs.extract_school_district_5yr_2014_4e4488529e,income_200000_or_more,"{""stats"": {""count"": 10923.0, ""avg"": 535.9423235374898, ""mode"": 0.0, ""stddev"": 4348.447484469743, ""notnull"": 10923.0, ""max"": 277003.0, ""min"": 0.0, ""median"": 56.0}}"
-2828,,,us.census.acs.B25064001,us.census.acs.extract_school_district_5yr_2014_4e4488529e,renter_occupied_housing_units_paying_cash_median_gross_rent,"{""stats"": {""count"": 10923.0, ""avg"": 766.4160658162322, ""mode"": 625.0, ""stddev"": 265.021097868412, ""notnull"": 10818.0, ""max"": 2001.0, ""min"": 99.0, ""median"": 696.0}}"
-2829,,,us.census.acs.B25076001,us.census.acs.extract_school_district_5yr_2014_4e4488529e,owner_occupied_housing_units_lower_value_quartile,"{""stats"": {""count"": 10923.0, ""avg"": 105887.13389659289, ""mode"": 55000.0, ""stddev"": 91732.21110443, ""notnull"": 10889.0, ""max"": 1000001.0, ""min"": 9999.0, ""median"": 78500.0}}"
-2830,,,us.census.acs.B25077001,us.census.acs.extract_school_district_5yr_2014_4e4488529e,owner_occupied_housing_units_median_value,"{""stats"": {""count"": 10923.0, ""avg"": 157041.42115896777, ""mode"": 1000001.0, ""stddev"": 119404.80811007, ""notnull"": 10889.0, ""max"": 1000001.0, ""min"": 19700.0, ""median"": 121900.0}}"
-2831,,,us.census.acs.B25078001,us.census.acs.extract_school_district_5yr_2014_4e4488529e,owner_occupied_housing_units_upper_value_quartile,"{""stats"": {""count"": 10923.0, ""avg"": 231089.78740012858, ""mode"": 1000001.0, ""stddev"": 147994.69275921, ""notnull"": 10889.0, ""max"": 1000001.0, ""min"": 41500.0, ""median"": 185000.0}}"
-2832,,,us.census.acs.B07009002,us.census.acs.extract_school_district_5yr_2014_4e4488529e,less_than_high_school_graduate,"{""stats"": {""count"": 10923.0, ""avg"": 2617.4462552646037, ""mode"": 0.0, ""stddev"": 20286.61706138, ""notnull"": 10922.0, ""max"": 1243149.0, ""min"": 0.0, ""median"": 635.0}}"
-2833,,,us.census.acs.B07009003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,high_school_including_ged,"{""stats"": {""count"": 10923.0, ""avg"": 5350.723310748947, ""mode"": 0.0, ""stddev"": 26210.70699383, ""notnull"": 10922.0, ""max"": 1459121.0, ""min"": 0.0, ""median"": 1974.0}}"
-2834,,,us.census.acs.B07009004,us.census.acs.extract_school_district_5yr_2014_4e4488529e,some_college_and_associates_degree,"{""stats"": {""count"": 10923.0, ""avg"": 5568.726789965208, ""mode"": 0.0, ""stddev"": 30399.48286983, ""notnull"": 10922.0, ""max"": 2118297.0, ""min"": 0.0, ""median"": 1672.0}}"
-2877,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,in_undergrad_college_quantile,
-2835,,,us.census.acs.B07009005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,bachelors_degree_2,"{""stats"": {""count"": 10923.0, ""avg"": 3496.1241530855154, ""mode"": 180.0, ""stddev"": 22048.45948672, ""notnull"": 10922.0, ""max"": 1254118.0, ""min"": 0.0, ""median"": 656.0}}"
-2836,,,us.census.acs.B07009006,us.census.acs.extract_school_district_5yr_2014_4e4488529e,graduate_professional_degree,"{""stats"": {""count"": 10923.0, ""avg"": 2107.8080021973997, ""mode"": 0.0, ""stddev"": 14055.04583577, ""notnull"": 10922.0, ""max"": 819305.0, ""min"": 0.0, ""median"": 331.0}}"
-2837,,,us.census.acs.B09005005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,children_in_single_female_hh,"{""stats"": {""count"": 10923.0, ""avg"": 1773.6116451524306, ""mode"": 0.0, ""stddev"": 11429.235578044332, ""notnull"": 10923.0, ""max"": 616936.0, ""min"": 0.0, ""median"": 376.0}}"
-2838,,,us.census.acs.B11001003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,married_households,"{""stats"": {""count"": 10923.0, ""avg"": 5198.091000640849, ""mode"": 0.0, ""stddev"": 27020.47534141, ""notnull"": 10923.0, ""max"": 1801429.0, ""min"": 0.0, ""median"": 1689.0}}"
-4076,,,us.census.tiger.awater,us.census.tiger.sum_level_block_2014_22a559b9ef,awater,
-2839,,,us.census.acs.B11009003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_male_households,"{""stats"": {""count"": 10923.0, ""avg"": 24.27876956879978, ""mode"": 0.0, ""stddev"": 221.65644666578, ""notnull"": 10923.0, ""max"": 14496.0, ""min"": 0.0, ""median"": 0.0}}"
-2840,,,us.census.acs.B11009005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_female_households,"{""stats"": {""count"": 10923.0, ""avg"": 26.004943696786597, ""mode"": 0.0, ""stddev"": 149.931448748167, ""notnull"": 10923.0, ""max"": 8011.0, ""min"": 0.0, ""median"": 2.0}}"
-2841,,,us.census.acs.B25003001,us.census.acs.extract_school_district_5yr_2014_4e4488529e,occupied_housing_units,"{""stats"": {""count"": 10923.0, ""avg"": 10752.773596997162, ""mode"": 0.0, ""stddev"": 59583.69266858, ""notnull"": 10923.0, ""max"": 3402421.0, ""min"": 0.0, ""median"": 3199.0}}"
-2842,,,us.census.acs.B16001005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,speak_spanish_at_home_low_english,"{""stats"": {""count"": 10923.0, ""avg"": 1745.9831548109494, ""mode"": 0.0, ""stddev"": 32878.86731096, ""notnull"": 10923.0, ""max"": 2724973.0, ""min"": 0.0, ""median"": 52.0}}"
-2843,,,us.census.acs.B25003003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,housing_units_renter_occupied,"{""stats"": {""count"": 10923.0, ""avg"": 3827.051908816259, ""mode"": 0.0, ""stddev"": 29828.17178716, ""notnull"": 10923.0, ""max"": 2107128.0, ""min"": 0.0, ""median"": 724.0}}"
-2844,,,us.census.acs.B25024002,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_1_units_detached,"{""stats"": {""count"": 10923.0, ""avg"": 7588.105465531447, ""mode"": 278.0, ""stddev"": 33850.49030346, ""notnull"": 10923.0, ""max"": 2334007.0, ""min"": 0.0, ""median"": 2818.0}}"
-2845,,,us.census.acs.B25024003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_1_units_attached,"{""stats"": {""count"": 10923.0, ""avg"": 724.3987915407855, ""mode"": 0.0, ""stddev"": 6479.982915917003, ""notnull"": 10923.0, ""max"": 392258.0, ""min"": 0.0, ""median"": 48.0}}"
-2846,,,us.census.acs.B25024004,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_2_units,"{""stats"": {""count"": 10923.0, ""avg"": 460.9255698983796, ""mode"": 0.0, ""stddev"": 5051.327675005758, ""notnull"": 10923.0, ""max"": 452231.0, ""min"": 0.0, ""median"": 73.0}}"
-2847,,,us.census.acs.B25024005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_3_to_4_units,"{""stats"": {""count"": 10923.0, ""avg"": 543.1823674814611, ""mode"": 0.0, ""stddev"": 4817.489750766348, ""notnull"": 10923.0, ""max"": 351353.0, ""min"": 0.0, ""median"": 80.0}}"
-2848,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,total_pop_quantile,
-2849,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_pop_quantile,
-2850,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_pop_quantile,
-2851,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,median_age_quantile,
-2852,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,white_pop_quantile,
-2853,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,black_pop_quantile,
-2854,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,asian_pop_quantile,
-2855,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,hispanic_pop_quantile,
-2856,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,amerindian_pop_quantile,
-2857,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,other_race_pop_quantile,
-2858,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,two_or_more_races_pop_quantile,
-2859,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,not_hispanic_pop_quantile,
-2860,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,not_us_citizen_pop_quantile,
-2861,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,workers_16_and_over_quantile,
-2862,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_by_car_truck_van_quantile,
-2863,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_drove_alone_quantile,
-2864,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_by_carpool_quantile,
-2865,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_by_public_transportation_quantile,
-2866,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_by_bus_quantile,
-2867,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_by_subway_or_elevated_quantile,
-2868,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,walked_to_work_quantile,
-2869,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,worked_at_home_quantile,
-2870,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,children_quantile,
-2871,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,households_quantile,
-2872,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,population_3_years_over_quantile,
-2873,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,in_school_quantile,
-2874,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,in_grades_1_to_4_quantile,
-2875,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,in_grades_5_to_8_quantile,
-2878,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_25_years_over_quantile,
-2879,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,high_school_diploma_quantile,
-2880,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,less_one_year_college_quantile,
-2881,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,one_year_more_college_quantile,
-2882,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,associates_degree_quantile,
-2883,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,bachelors_degree_quantile,
-2884,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,masters_degree_quantile,
-2885,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_5_years_over_quantile,
-2886,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,speak_only_english_at_home_quantile,
-2887,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,speak_spanish_at_home_quantile,
-2888,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_determined_poverty_status_quantile,
-2889,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,poverty_quantile,
-2890,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,median_income_quantile,
-2891,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,gini_index_quantile,
-2892,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_per_capita_quantile,
-2893,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,housing_units_quantile,
-2894,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,vacant_housing_units_quantile,
-2895,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,vacant_housing_units_for_rent_quantile,
-2896,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,vacant_housing_units_for_sale_quantile,
-2897,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,median_rent_quantile,
-2898,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,percent_income_spent_on_rent_quantile,
-2899,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,owner_occupied_housing_units_quantile,
-2900,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,million_dollar_housing_units_quantile,
-2901,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,mortgaged_housing_units_quantile,
-2902,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,families_with_young_children_quantile,
-2903,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,two_parent_families_with_young_children_quantile,
-2904,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,two_parents_in_labor_force_families_with_young_children_quantile,
-2905,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,two_parents_father_in_labor_force_families_with_young_children_quantile,
-2906,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-2907,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,two_parents_not_in_labor_force_families_with_young_children_quantile,
-2908,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,one_parent_families_with_young_children_quantile,
-2909,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,father_one_parent_families_with_young_children_quantile,
-2910,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_16_over_quantile,
-2911,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_in_labor_force_quantile,
-2912,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,civilian_labor_force_quantile,
-2913,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_pop_quantile,
-2914,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,unemployed_pop_quantile,
-2915,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,armed_forces_quantile,
-2916,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,not_in_labor_force_quantile,
-2917,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,black_male_45_54_quantile,
-2918,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,black_male_55_64_quantile,
-2919,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,hispanic_male_45_54_quantile,
-2920,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,hispanic_male_55_64_quantile,
-2921,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,white_male_45_54_quantile,
-2922,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,white_male_55_64_quantile,
-2923,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,asian_male_45_54_quantile,
-2924,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,asian_male_55_64_quantile,
-2925,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_less_than_9_grade_quantile,
-2926,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_grade_9_12_quantile,
-2927,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_high_school_quantile,
-2928,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_some_college_quantile,
-2929,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_associates_degree_quantile,
-2930,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_bachelors_degree_quantile,
-2931,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_64_graduate_degree_quantile,
-2932,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,father_in_labor_force_one_parent_families_with_young_children_quantile,
-2933,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_15_and_over_quantile,
-2934,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_never_married_quantile,
-2935,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_now_married_quantile,
-2936,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_separated_quantile,
-2937,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_widowed_quantile,
-2938,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,pop_divorced_quantile,
-2939,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commuters_16_over_quantile,
-2940,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_less_10_mins_quantile,
-2941,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_10_14_mins_quantile,
-2942,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_15_19_mins_quantile,
-2943,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_20_24_mins_quantile,
-2944,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_25_29_mins_quantile,
-2945,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_30_34_mins_quantile,
-2946,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_35_44_mins_quantile,
-2947,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_45_59_mins_quantile,
-2948,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_60_more_mins_quantile,
-2949,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,aggregate_travel_time_to_work_quantile,
-2950,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_less_10000_quantile,
-2951,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_10000_14999_quantile,
-2952,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_15000_19999_quantile,
-2953,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_20000_24999_quantile,
-2954,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_25000_29999_quantile,
-2955,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_30000_34999_quantile,
-2956,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_35000_39999_quantile,
-2957,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_40000_44999_quantile,
-2958,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_45000_49999_quantile,
-2959,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_50000_59999_quantile,
-2960,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_60000_74999_quantile,
-2961,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_75000_99999_quantile,
-2962,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_100000_124999_quantile,
-2963,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_125000_149999_quantile,
-2964,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_150000_199999_quantile,
-2965,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,income_200000_or_more_quantile,
-2966,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-2967,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,owner_occupied_housing_units_lower_value_quartile_quantile,
-2968,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,owner_occupied_housing_units_median_value_quantile,
-2969,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,owner_occupied_housing_units_upper_value_quartile_quantile,
-2970,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,less_than_high_school_graduate_quantile,
-2971,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,high_school_including_ged_quantile,
-2972,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,some_college_and_associates_degree_quantile,
-2973,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,bachelors_degree_2_quantile,
-2974,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,graduate_professional_degree_quantile,
-2975,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,children_in_single_female_hh_quantile,
-2976,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,married_households_quantile,
-2977,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_male_households_quantile,
-2978,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_female_households_quantile,
-2979,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,occupied_housing_units_quantile,
-2980,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,speak_spanish_at_home_low_english_quantile,
-2981,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,housing_units_renter_occupied_quantile,
-2982,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_1_units_detached_quantile,
-2983,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_1_units_attached_quantile,
-2984,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_2_units_quantile,
-2985,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_3_to_4_units_quantile,
-2986,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_5_to_9_units_quantile,
-2987,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_10_to_19_units_quantile,
-2988,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_20_to_49_units_quantile,
-2989,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,dwellings_50_or_more_units_quantile,
-2990,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,mobile_homes_quantile,
-2991,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,housing_built_2005_or_later_quantile,
-2992,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,housing_built_2000_to_2004_quantile,
-2993,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,housing_built_1939_or_earlier_quantile,
-2994,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-2995,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_construction_quantile,
-2996,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_manufacturing_quantile,
-2997,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_wholesale_trade_quantile,
-2998,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_retail_trade_quantile,
-2999,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_transportation_warehousing_utilities_quantile,
-3000,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_information_quantile,
-3001,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_finance_insurance_real_estate_quantile,
-3002,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_science_management_admin_waste_quantile,
-3003,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_education_health_social_quantile,
-3004,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_arts_entertainment_recreation_accommodation_food_quantile,
-3005,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_other_services_not_public_admin_quantile,
-3006,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,employed_public_administration_quantile,
-3007,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,occupation_management_arts_quantile,
-3008,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,occupation_services_quantile,
-3009,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,occupation_sales_office_quantile,
-3010,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,occupation_natural_resources_construction_maintenance_quantile,
-3011,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,occupation_production_transportation_material_quantile,
-3012,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_under_5_quantile,
-3013,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_10_to_14_quantile,
-3014,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_15_to_17_quantile,
-3015,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_18_to_19_quantile,
-3016,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_20_quantile,
-3017,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_21_quantile,
-3018,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_22_to_24_quantile,
-3019,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_25_to_29_quantile,
-3020,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_30_to_34_quantile,
-3021,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_35_to_39_quantile,
-3022,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_40_to_44_quantile,
-3023,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_to_64_quantile,
-3024,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_45_to_49_quantile,
-3025,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_50_to_54_quantile,
-3026,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_55_to_59_quantile,
-3027,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_60_61_quantile,
-3028,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_62_64_quantile,
-3029,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_65_to_66_quantile,
-3030,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_67_to_69_quantile,
-3031,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_70_to_74_quantile,
-3032,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_75_to_79_quantile,
-3033,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_80_to_84_quantile,
-3034,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,male_85_and_over_quantile,
-3035,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_under_5_quantile,
-3036,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_5_to_9_quantile,
-3037,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_10_to_14_quantile,
-3038,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_15_to_17_quantile,
-3039,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_18_to_19_quantile,
-3040,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_20_quantile,
-3041,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_21_quantile,
-3042,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_22_to_24_quantile,
-3043,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_25_to_29_quantile,
-3044,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_30_to_34_quantile,
-3045,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_35_to_39_quantile,
-3046,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_40_to_44_quantile,
-3047,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_45_to_49_quantile,
-3048,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_50_to_54_quantile,
-3049,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_55_to_59_quantile,
-3050,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_60_to_61_quantile,
-3051,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_62_to_64_quantile,
-3052,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_65_to_66_quantile,
-3053,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_67_to_69_quantile,
-3054,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_70_to_74_quantile,
-3055,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_75_to_79_quantile,
-3056,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_80_to_84_quantile,
-3057,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,female_85_and_over_quantile,
-3058,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,white_including_hispanic_quantile,
-3059,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,black_including_hispanic_quantile,
-3060,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,amerindian_including_hispanic_quantile,
-3061,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,asian_including_hispanic_quantile,
-3062,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,hispanic_any_race_quantile,
-3063,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_5_9_mins_quantile,
-3064,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_35_39_mins_quantile,
-3065,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_40_44_mins_quantile,
-3066,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_60_89_mins_quantile,
-3067,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,commute_90_more_mins_quantile,
-3068,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,households_public_asst_or_food_stamps_quantile,
-3069,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,households_retirement_income_quantile,
-3070,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,population_1_year_and_over_quantile,
-3071,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,different_house_year_ago_same_city_quantile,
-3072,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,different_house_year_ago_different_city_quantile,
-3073,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,group_quarters_quantile,
-3074,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_zcta5_5yr_2011_f73c4de320,no_car_quantile,
-3075,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,total_pop_quantile,
-3076,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_pop_quantile,
-3077,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_pop_quantile,
-3078,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,median_age_quantile,
-3079,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,white_pop_quantile,
-3080,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,black_pop_quantile,
-3081,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,asian_pop_quantile,
-3082,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,hispanic_pop_quantile,
-3083,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,amerindian_pop_quantile,
-3084,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,other_race_pop_quantile,
-3085,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,two_or_more_races_pop_quantile,
-3086,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,not_hispanic_pop_quantile,
-3087,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,not_us_citizen_pop_quantile,
-3088,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,workers_16_and_over_quantile,
-3089,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_by_car_truck_van_quantile,
-3090,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_drove_alone_quantile,
-3091,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_by_carpool_quantile,
-3092,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_by_public_transportation_quantile,
-3093,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_by_bus_quantile,
-3094,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_by_subway_or_elevated_quantile,
-3095,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,walked_to_work_quantile,
-3096,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,worked_at_home_quantile,
-3097,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,children_quantile,
-3098,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,households_quantile,
-3099,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,population_3_years_over_quantile,
-3100,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,in_school_quantile,
-3101,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,in_grades_1_to_4_quantile,
-3102,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,in_grades_5_to_8_quantile,
-3103,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,in_grades_9_to_12_quantile,
-3104,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,in_undergrad_college_quantile,
-3105,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_25_years_over_quantile,
-3106,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,high_school_diploma_quantile,
-3107,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,less_one_year_college_quantile,
-3108,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,one_year_more_college_quantile,
-3109,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,associates_degree_quantile,
-3110,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,bachelors_degree_quantile,
-3111,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,masters_degree_quantile,
-3112,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_5_years_over_quantile,
-3113,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,speak_only_english_at_home_quantile,
-3114,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,speak_spanish_at_home_quantile,
-3115,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_determined_poverty_status_quantile,
-3116,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,poverty_quantile,
-3117,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,median_income_quantile,
-3118,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,gini_index_quantile,
-3119,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_per_capita_quantile,
-3120,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,housing_units_quantile,
-3121,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,vacant_housing_units_quantile,
-3122,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,vacant_housing_units_for_rent_quantile,
-3123,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,vacant_housing_units_for_sale_quantile,
-3124,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,median_rent_quantile,
-3125,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,percent_income_spent_on_rent_quantile,
-3126,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,owner_occupied_housing_units_quantile,
-3127,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,million_dollar_housing_units_quantile,
-3128,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,mortgaged_housing_units_quantile,
-3129,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,families_with_young_children_quantile,
-3130,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,two_parent_families_with_young_children_quantile,
-3131,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,two_parents_in_labor_force_families_with_young_children_quantile,
-3132,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,two_parents_father_in_labor_force_families_with_young_children_quantile,
-3133,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-3134,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,two_parents_not_in_labor_force_families_with_young_children_quantile,
-3135,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,one_parent_families_with_young_children_quantile,
-3136,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,father_one_parent_families_with_young_children_quantile,
-3137,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_16_over_quantile,
-3138,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_in_labor_force_quantile,
-3139,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,civilian_labor_force_quantile,
-3140,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_pop_quantile,
-3141,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,unemployed_pop_quantile,
-3142,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,armed_forces_quantile,
-3143,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,not_in_labor_force_quantile,
-3144,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,black_male_45_54_quantile,
-3145,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,black_male_55_64_quantile,
-3146,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,hispanic_male_45_54_quantile,
-3147,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,hispanic_male_55_64_quantile,
-3148,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,white_male_45_54_quantile,
-3149,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,white_male_55_64_quantile,
-3150,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,asian_male_45_54_quantile,
-3151,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,asian_male_55_64_quantile,
-3152,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_less_than_9_grade_quantile,
-3153,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_grade_9_12_quantile,
-3154,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_high_school_quantile,
-3155,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_some_college_quantile,
-3156,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_associates_degree_quantile,
-3157,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_bachelors_degree_quantile,
-3158,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_64_graduate_degree_quantile,
-3159,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,father_in_labor_force_one_parent_families_with_young_children_quantile,
-3160,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_15_and_over_quantile,
-3161,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_never_married_quantile,
-3162,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_now_married_quantile,
-3163,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_separated_quantile,
-3164,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_widowed_quantile,
-3165,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,pop_divorced_quantile,
-3166,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commuters_16_over_quantile,
-3167,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_less_10_mins_quantile,
-3168,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_10_14_mins_quantile,
-3169,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_15_19_mins_quantile,
-3170,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_20_24_mins_quantile,
-3171,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_25_29_mins_quantile,
-3172,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_30_34_mins_quantile,
-3173,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_35_44_mins_quantile,
-3174,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_45_59_mins_quantile,
-3175,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_60_more_mins_quantile,
-3176,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,aggregate_travel_time_to_work_quantile,
-3177,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_less_10000_quantile,
-3178,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_10000_14999_quantile,
-3179,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_15000_19999_quantile,
-3180,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_20000_24999_quantile,
-3181,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_25000_29999_quantile,
-3182,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_30000_34999_quantile,
-3183,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_35000_39999_quantile,
-3184,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_40000_44999_quantile,
-3185,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_45000_49999_quantile,
-3186,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_50000_59999_quantile,
-3187,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_60000_74999_quantile,
-3188,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_75000_99999_quantile,
-3189,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_100000_124999_quantile,
-3190,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_125000_149999_quantile,
-3191,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_150000_199999_quantile,
-3192,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,income_200000_or_more_quantile,
-3193,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-3194,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,owner_occupied_housing_units_lower_value_quartile_quantile,
-3195,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,owner_occupied_housing_units_median_value_quantile,
-3196,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,owner_occupied_housing_units_upper_value_quartile_quantile,
-3197,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,less_than_high_school_graduate_quantile,
-3198,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,high_school_including_ged_quantile,
-3199,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,some_college_and_associates_degree_quantile,
-3200,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,bachelors_degree_2_quantile,
-3201,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,graduate_professional_degree_quantile,
-3202,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,children_in_single_female_hh_quantile,
-3203,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,married_households_quantile,
-3204,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_male_households_quantile,
-3205,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_female_households_quantile,
-3206,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,occupied_housing_units_quantile,
-3207,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,speak_spanish_at_home_low_english_quantile,
-3208,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,housing_units_renter_occupied_quantile,
-3209,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_1_units_detached_quantile,
-3210,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_1_units_attached_quantile,
-3211,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_2_units_quantile,
-3212,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_3_to_4_units_quantile,
-3213,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_5_to_9_units_quantile,
-3214,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_10_to_19_units_quantile,
-3215,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_20_to_49_units_quantile,
-3216,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,dwellings_50_or_more_units_quantile,
-3217,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,mobile_homes_quantile,
-3218,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,housing_built_2005_or_later_quantile,
-3219,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,housing_built_2000_to_2004_quantile,
-3220,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,housing_built_1939_or_earlier_quantile,
-3221,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-3222,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_construction_quantile,
-3223,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_manufacturing_quantile,
-3224,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_wholesale_trade_quantile,
-3225,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_retail_trade_quantile,
-3226,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_transportation_warehousing_utilities_quantile,
-3227,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_information_quantile,
-3228,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_finance_insurance_real_estate_quantile,
-3229,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_science_management_admin_waste_quantile,
-3230,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_education_health_social_quantile,
-3231,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_arts_entertainment_recreation_accommodation_food_quantile,
-3232,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_other_services_not_public_admin_quantile,
-3233,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,employed_public_administration_quantile,
-3234,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,occupation_management_arts_quantile,
-3235,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,occupation_services_quantile,
-3236,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,occupation_sales_office_quantile,
-3237,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,occupation_natural_resources_construction_maintenance_quantile,
-3238,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,occupation_production_transportation_material_quantile,
-3239,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_under_5_quantile,
-3240,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_10_to_14_quantile,
-3241,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_15_to_17_quantile,
-3242,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_18_to_19_quantile,
-3243,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_20_quantile,
-3244,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_21_quantile,
-3245,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_22_to_24_quantile,
-3246,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_25_to_29_quantile,
-3247,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_30_to_34_quantile,
-3248,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_35_to_39_quantile,
-3249,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_40_to_44_quantile,
-3250,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_to_64_quantile,
-3251,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_45_to_49_quantile,
-3252,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_50_to_54_quantile,
-3253,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_55_to_59_quantile,
-3254,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_60_61_quantile,
-3255,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_62_64_quantile,
-3256,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_65_to_66_quantile,
-3257,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_67_to_69_quantile,
-3258,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_70_to_74_quantile,
-3259,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_75_to_79_quantile,
-3260,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_80_to_84_quantile,
-3261,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,male_85_and_over_quantile,
-3262,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_under_5_quantile,
-3263,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_5_to_9_quantile,
-3264,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_10_to_14_quantile,
-3265,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_15_to_17_quantile,
-3266,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_18_to_19_quantile,
-3267,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_20_quantile,
-3268,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_21_quantile,
-3269,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_22_to_24_quantile,
-3270,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_25_to_29_quantile,
-3271,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_30_to_34_quantile,
-3272,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_35_to_39_quantile,
-3273,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_40_to_44_quantile,
-3274,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_45_to_49_quantile,
-3275,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_50_to_54_quantile,
-3276,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_55_to_59_quantile,
-3277,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_60_to_61_quantile,
-3278,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_62_to_64_quantile,
-3279,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_65_to_66_quantile,
-3280,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_67_to_69_quantile,
-3281,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_70_to_74_quantile,
-3282,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_75_to_79_quantile,
-3283,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_80_to_84_quantile,
-3284,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,female_85_and_over_quantile,
-3285,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,white_including_hispanic_quantile,
-3286,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,black_including_hispanic_quantile,
-3287,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,amerindian_including_hispanic_quantile,
-3288,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,asian_including_hispanic_quantile,
-3289,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,hispanic_any_race_quantile,
-3290,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_5_9_mins_quantile,
-3291,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_35_39_mins_quantile,
-3292,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_40_44_mins_quantile,
-3293,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_60_89_mins_quantile,
-3294,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,commute_90_more_mins_quantile,
-3295,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,households_public_asst_or_food_stamps_quantile,
-3296,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,households_retirement_income_quantile,
-3297,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,population_1_year_and_over_quantile,
-3298,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,different_house_year_ago_same_city_quantile,
-3299,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,different_house_year_ago_different_city_quantile,
-3300,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,group_quarters_quantile,
-3301,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_puma_5yr_2011_b2bf095a7f,no_car_quantile,
-3302,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,total_pop_quantile,
-3303,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_pop_quantile,
-3304,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_pop_quantile,
-3305,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,median_age_quantile,
-3306,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,white_pop_quantile,
-3307,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,black_pop_quantile,
-3308,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,asian_pop_quantile,
-3309,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,hispanic_pop_quantile,
-3310,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,amerindian_pop_quantile,
-3311,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,other_race_pop_quantile,
-3312,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,two_or_more_races_pop_quantile,
-3313,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,not_hispanic_pop_quantile,
-3314,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,not_us_citizen_pop_quantile,
-3315,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,workers_16_and_over_quantile,
-3316,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_by_car_truck_van_quantile,
-3317,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_drove_alone_quantile,
-3318,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_by_carpool_quantile,
-3319,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_by_public_transportation_quantile,
-3320,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_by_bus_quantile,
-3321,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_by_subway_or_elevated_quantile,
-3322,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,walked_to_work_quantile,
-3323,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,worked_at_home_quantile,
-3325,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,households_quantile,
-3326,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,population_3_years_over_quantile,
-3327,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,in_school_quantile,
-3328,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,in_grades_1_to_4_quantile,
-3329,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,in_grades_5_to_8_quantile,
-3330,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,in_grades_9_to_12_quantile,
-3331,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,in_undergrad_college_quantile,
-3332,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_25_years_over_quantile,
-3333,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,high_school_diploma_quantile,
-3334,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,less_one_year_college_quantile,
-3335,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,one_year_more_college_quantile,
-3336,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,associates_degree_quantile,
-3337,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,bachelors_degree_quantile,
-3338,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,masters_degree_quantile,
-3339,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_5_years_over_quantile,
-3340,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,speak_only_english_at_home_quantile,
-3341,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,speak_spanish_at_home_quantile,
-3342,,,us.census.acs.B25024006,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_5_to_9_units,"{""stats"": {""count"": 10923.0, ""avg"": 586.7909914858556, ""mode"": 0.0, ""stddev"": 4253.190133555054, ""notnull"": 10923.0, ""max"": 229114.0, ""min"": 0.0, ""median"": 61.0}}"
-3343,,,us.census.acs.B25024007,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_10_to_19_units,"{""stats"": {""count"": 10923.0, ""avg"": 549.4192071775153, ""mode"": 0.0, ""stddev"": 4038.16823154387, ""notnull"": 10923.0, ""max"": 216286.0, ""min"": 0.0, ""median"": 30.0}}"
-3344,,,us.census.acs.B25024008,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_20_to_49_units,"{""stats"": {""count"": 10923.0, ""avg"": 435.6543989746407, ""mode"": 0.0, ""stddev"": 6094.745113758286, ""notnull"": 10923.0, ""max"": 534030.0, ""min"": 0.0, ""median"": 25.0}}"
-3345,,,us.census.acs.B25024009,us.census.acs.extract_school_district_5yr_2014_4e4488529e,dwellings_50_or_more_units,"{""stats"": {""count"": 10923.0, ""avg"": 616.9621898745766, ""mode"": 0.0, ""stddev"": 11430.307720179277, ""notnull"": 10923.0, ""max"": 1071323.0, ""min"": 0.0, ""median"": 6.0}}"
-3346,,,us.census.acs.B25024010,us.census.acs.extract_school_district_5yr_2014_4e4488529e,mobile_homes,"{""stats"": {""count"": 10923.0, ""avg"": 779.2483749885563, ""mode"": 0.0, ""stddev"": 2786.558429381798, ""notnull"": 10923.0, ""max"": 178383.0, ""min"": 0.0, ""median"": 244.0}}"
-3347,,,us.census.acs.B25034002,us.census.acs.extract_school_district_5yr_2014_4e4488529e,housing_built_2005_or_later,"{""stats"": {""count"": 10923.0, ""avg"": 120.94268973725167, ""mode"": 0.0, ""stddev"": 518.515963642595, ""notnull"": 10923.0, ""max"": 22828.0, ""min"": 0.0, ""median"": 21.0}}"
-3348,,,us.census.acs.B25034003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,housing_built_2000_to_2004,"{""stats"": {""count"": 10923.0, ""avg"": 1830.5545179895632, ""mode"": 58.0, ""stddev"": 8887.589669413072, ""notnull"": 10923.0, ""max"": 483964.0, ""min"": 0.0, ""median"": 392.0}}"
-3349,,,us.census.acs.B25034010,us.census.acs.extract_school_district_5yr_2014_4e4488529e,housing_built_1939_or_earlier,"{""stats"": {""count"": 10923.0, ""avg"": 1620.8984711159937, ""mode"": 0.0, ""stddev"": 15929.27268911, ""notnull"": 10923.0, ""max"": 1390731.0, ""min"": 0.0, ""median"": 525.0}}"
-3350,,,us.census.acs.C24050002,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_agriculture_forestry_fishing_hunting_mining,"{""stats"": {""count"": 10923.0, ""avg"": 258.2980866062437, ""mode"": 0.0, ""stddev"": 1809.825227769255, ""notnull"": 10923.0, ""max"": 175813.0, ""min"": 0.0, ""median"": 114.0}}"
-3351,,,us.census.acs.C24050003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_construction,"{""stats"": {""count"": 10923.0, ""avg"": 815.2932344593976, ""mode"": 0.0, ""stddev"": 4469.143851759165, ""notnull"": 10923.0, ""max"": 285394.0, ""min"": 0.0, ""median"": 251.0}}"
-3393,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,hispanic_male_55_64_quantile,
-3352,,,us.census.acs.C24050004,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_manufacturing,"{""stats"": {""count"": 10923.0, ""avg"": 1378.1755927858646, ""mode"": 0.0, ""stddev"": 6767.516195672139, ""notnull"": 10923.0, ""max"": 486565.0, ""min"": 0.0, ""median"": 460.0}}"
-3353,,,us.census.acs.C24050005,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_wholesale_trade,"{""stats"": {""count"": 10923.0, ""avg"": 363.32481918886754, ""mode"": 0.0, ""stddev"": 2192.571309809218, ""notnull"": 10923.0, ""max"": 139248.0, ""min"": 0.0, ""median"": 85.0}}"
-3354,,,us.census.acs.C24050006,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_retail_trade,"{""stats"": {""count"": 10923.0, ""avg"": 1532.9849858097593, ""mode"": 0.0, ""stddev"": 8488.694044585509, ""notnull"": 10923.0, ""max"": 526573.0, ""min"": 0.0, ""median"": 410.0}}"
-3355,,,us.census.acs.C24050007,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_transportation_warehousing_utilities,"{""stats"": {""count"": 10923.0, ""avg"": 650.6647441179164, ""mode"": 0.0, ""stddev"": 3966.546015499906, ""notnull"": 10923.0, ""max"": 225597.0, ""min"": 0.0, ""median"": 185.0}}"
-3356,,,us.census.acs.C24050008,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_information,"{""stats"": {""count"": 10923.0, ""avg"": 282.35603771857546, ""mode"": 0.0, ""stddev"": 2329.38018466505, ""notnull"": 10923.0, ""max"": 145223.0, ""min"": 0.0, ""median"": 46.0}}"
-3357,,,us.census.acs.C24050009,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_finance_insurance_real_estate,"{""stats"": {""count"": 10923.0, ""avg"": 872.092007690195, ""mode"": 0.0, ""stddev"": 5803.271467396671, ""notnull"": 10923.0, ""max"": 380507.0, ""min"": 0.0, ""median"": 157.0}}"
-3358,,,us.census.acs.C24050010,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_science_management_admin_waste,"{""stats"": {""count"": 10923.0, ""avg"": 1439.336629131191, ""mode"": 0.0, ""stddev"": 9831.511408618277, ""notnull"": 10923.0, ""max"": 559242.0, ""min"": 0.0, ""median"": 229.0}}"
-3359,,,us.census.acs.C24050011,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_education_health_social,"{""stats"": {""count"": 10923.0, ""avg"": 3071.471756843358, ""mode"": 0.0, ""stddev"": 17281.80774028, ""notnull"": 10923.0, ""max"": 1016252.0, ""min"": 0.0, ""median"": 838.0}}"
-3360,,,us.census.acs.C24050012,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_arts_entertainment_recreation_accommodation_food,"{""stats"": {""count"": 10923.0, ""avg"": 1254.6244621440997, ""mode"": 0.0, ""stddev"": 8147.474497685027, ""notnull"": 10923.0, ""max"": 426460.0, ""min"": 0.0, ""median"": 270.0}}"
-3361,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_determined_poverty_status_quantile,
-3362,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,poverty_quantile,
-3363,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,median_income_quantile,
-3364,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,gini_index_quantile,
-3365,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_per_capita_quantile,
-3366,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,housing_units_quantile,
-3367,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,vacant_housing_units_quantile,
-3368,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,vacant_housing_units_for_rent_quantile,
-3369,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,vacant_housing_units_for_sale_quantile,
-3370,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,median_rent_quantile,
-3371,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,percent_income_spent_on_rent_quantile,
-3372,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,owner_occupied_housing_units_quantile,
-3373,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,million_dollar_housing_units_quantile,
-3374,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,mortgaged_housing_units_quantile,
-3375,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,families_with_young_children_quantile,
-3376,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,two_parent_families_with_young_children_quantile,
-3377,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,two_parents_in_labor_force_families_with_young_children_quantile,
-3378,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,two_parents_father_in_labor_force_families_with_young_children_quantile,
-3379,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-3380,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,two_parents_not_in_labor_force_families_with_young_children_quantile,
-3381,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,one_parent_families_with_young_children_quantile,
-3382,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,father_one_parent_families_with_young_children_quantile,
-3383,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_16_over_quantile,
-3384,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_in_labor_force_quantile,
-3385,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,civilian_labor_force_quantile,
-3386,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_pop_quantile,
-3387,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,unemployed_pop_quantile,
-3388,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,armed_forces_quantile,
-3389,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,not_in_labor_force_quantile,
-3390,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,black_male_45_54_quantile,
-3391,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,black_male_55_64_quantile,
-3392,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,hispanic_male_45_54_quantile,
-3394,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,white_male_45_54_quantile,
-3395,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,white_male_55_64_quantile,
-3396,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,asian_male_45_54_quantile,
-3397,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,asian_male_55_64_quantile,
-3398,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_less_than_9_grade_quantile,
-3399,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_grade_9_12_quantile,
-3400,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_high_school_quantile,
-3401,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_some_college_quantile,
-3402,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_associates_degree_quantile,
-3403,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_bachelors_degree_quantile,
-3404,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_64_graduate_degree_quantile,
-3405,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,father_in_labor_force_one_parent_families_with_young_children_quantile,
-3406,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_15_and_over_quantile,
-3407,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_never_married_quantile,
-3408,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_now_married_quantile,
-3409,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_separated_quantile,
-3410,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_widowed_quantile,
-3411,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,pop_divorced_quantile,
-3412,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commuters_16_over_quantile,
-3413,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_less_10_mins_quantile,
-3414,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_10_14_mins_quantile,
-3415,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_15_19_mins_quantile,
-3416,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_20_24_mins_quantile,
-3417,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_25_29_mins_quantile,
-3418,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_30_34_mins_quantile,
-3419,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_35_44_mins_quantile,
-3420,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_45_59_mins_quantile,
-3421,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_60_more_mins_quantile,
-3422,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,aggregate_travel_time_to_work_quantile,
-3423,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_less_10000_quantile,
-3424,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_10000_14999_quantile,
-3425,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_15000_19999_quantile,
-3426,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_20000_24999_quantile,
-3427,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_25000_29999_quantile,
-3428,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_30000_34999_quantile,
-3429,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_35000_39999_quantile,
-3430,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_40000_44999_quantile,
-3431,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_45000_49999_quantile,
-3432,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_50000_59999_quantile,
-3433,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_60000_74999_quantile,
-3434,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_75000_99999_quantile,
-3435,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_100000_124999_quantile,
-3436,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_125000_149999_quantile,
-3437,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_150000_199999_quantile,
-3438,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,income_200000_or_more_quantile,
-3439,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-3440,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,owner_occupied_housing_units_lower_value_quartile_quantile,
-3441,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,owner_occupied_housing_units_median_value_quantile,
-3442,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,owner_occupied_housing_units_upper_value_quartile_quantile,
-3443,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,less_than_high_school_graduate_quantile,
-3444,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,high_school_including_ged_quantile,
-3445,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,some_college_and_associates_degree_quantile,
-3446,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,bachelors_degree_2_quantile,
-3447,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,graduate_professional_degree_quantile,
-3448,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,children_in_single_female_hh_quantile,
-3449,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,married_households_quantile,
-3450,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_male_households_quantile,
-3451,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_female_households_quantile,
-3452,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,occupied_housing_units_quantile,
-3453,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,speak_spanish_at_home_low_english_quantile,
-3454,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,housing_units_renter_occupied_quantile,
-3455,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_1_units_detached_quantile,
-3456,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_1_units_attached_quantile,
-3457,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_2_units_quantile,
-3458,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_3_to_4_units_quantile,
-3459,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_5_to_9_units_quantile,
-3460,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_10_to_19_units_quantile,
-3461,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_20_to_49_units_quantile,
-3462,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,dwellings_50_or_more_units_quantile,
-3463,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,mobile_homes_quantile,
-3464,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,housing_built_2005_or_later_quantile,
-3465,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,housing_built_2000_to_2004_quantile,
-3466,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,housing_built_1939_or_earlier_quantile,
-3467,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-3468,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_construction_quantile,
-3469,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_manufacturing_quantile,
-3470,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_wholesale_trade_quantile,
-3471,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_retail_trade_quantile,
-3472,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_transportation_warehousing_utilities_quantile,
-3473,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_information_quantile,
-3474,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_finance_insurance_real_estate_quantile,
-3475,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_science_management_admin_waste_quantile,
-3476,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_education_health_social_quantile,
-3477,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_arts_entertainment_recreation_accommodation_food_quantile,
-3478,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_other_services_not_public_admin_quantile,
-3479,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,employed_public_administration_quantile,
-3480,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,occupation_management_arts_quantile,
-3481,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,occupation_services_quantile,
-3482,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,occupation_sales_office_quantile,
-3483,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,occupation_natural_resources_construction_maintenance_quantile,
-3484,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,occupation_production_transportation_material_quantile,
-3485,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_under_5_quantile,
-3486,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_10_to_14_quantile,
-3487,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_15_to_17_quantile,
-3488,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_18_to_19_quantile,
-3489,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_20_quantile,
-3490,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_21_quantile,
-3491,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_22_to_24_quantile,
-3492,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_25_to_29_quantile,
-3493,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_30_to_34_quantile,
-3494,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_35_to_39_quantile,
-3495,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_40_to_44_quantile,
-3496,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_45_to_64_quantile,
-3498,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_50_to_54_quantile,
-3499,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_55_to_59_quantile,
-3500,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_60_61_quantile,
-3501,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_62_64_quantile,
-3502,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_65_to_66_quantile,
-3503,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_67_to_69_quantile,
-3504,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_70_to_74_quantile,
-3505,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_75_to_79_quantile,
-3506,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_80_to_84_quantile,
-3507,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,male_85_and_over_quantile,
-3508,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_under_5_quantile,
-3509,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_5_to_9_quantile,
-3510,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_10_to_14_quantile,
-3511,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_15_to_17_quantile,
-3512,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_18_to_19_quantile,
-3513,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_20_quantile,
-3514,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_21_quantile,
-3515,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_22_to_24_quantile,
-3516,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_25_to_29_quantile,
-3517,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_30_to_34_quantile,
-3518,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_35_to_39_quantile,
-3519,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_40_to_44_quantile,
-3520,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_45_to_49_quantile,
-3521,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_50_to_54_quantile,
-3522,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_55_to_59_quantile,
-3523,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_60_to_61_quantile,
-3524,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_62_to_64_quantile,
-3525,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_65_to_66_quantile,
-3526,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_67_to_69_quantile,
-3527,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_70_to_74_quantile,
-3528,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_75_to_79_quantile,
-3529,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_80_to_84_quantile,
-3530,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,female_85_and_over_quantile,
-3531,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,white_including_hispanic_quantile,
-3532,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,black_including_hispanic_quantile,
-3533,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,amerindian_including_hispanic_quantile,
-3534,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,asian_including_hispanic_quantile,
-3535,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,hispanic_any_race_quantile,
-3536,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_5_9_mins_quantile,
-3537,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_35_39_mins_quantile,
-3538,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_40_44_mins_quantile,
-3539,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_60_89_mins_quantile,
-3540,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,commute_90_more_mins_quantile,
-3541,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,households_public_asst_or_food_stamps_quantile,
-3542,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,households_retirement_income_quantile,
-3543,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,population_1_year_and_over_quantile,
-3544,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,different_house_year_ago_same_city_quantile,
-3545,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,different_house_year_ago_different_city_quantile,
-3546,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,group_quarters_quantile,
-3547,,,us.census.acs.C24050013,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_other_services_not_public_admin,"{""stats"": {""count"": 10923.0, ""avg"": 656.6619976197015, ""mode"": 0.0, ""stddev"": 4152.100202098073, ""notnull"": 10923.0, ""max"": 235166.0, ""min"": 0.0, ""median"": 168.0}}"
-3548,,,us.census.acs.C24050014,us.census.acs.extract_school_district_5yr_2014_4e4488529e,employed_public_administration,"{""stats"": {""count"": 10923.0, ""avg"": 655.1815435319967, ""mode"": 0.0, ""stddev"": 3693.536136485252, ""notnull"": 10923.0, ""max"": 221587.0, ""min"": 0.0, ""median"": 168.0}}"
-3549,,,us.census.acs.C24050015,us.census.acs.extract_school_district_5yr_2014_4e4488529e,occupation_management_arts,"{""stats"": {""count"": 10923.0, ""avg"": 4813.089444291862, ""mode"": 169.0, ""stddev"": 28591.21836473, ""notnull"": 10923.0, ""max"": 1651638.0, ""min"": 0.0, ""median"": 1053.0}}"
-3550,,,us.census.acs.C24050029,us.census.acs.extract_school_district_5yr_2014_4e4488529e,occupation_services,"{""stats"": {""count"": 10923.0, ""avg"": 2405.534926302298, ""mode"": 0.0, ""stddev"": 15286.36445744, ""notnull"": 10923.0, ""max"": 888734.0, ""min"": 0.0, ""median"": 631.0}}"
-3551,,,us.census.acs.C24050043,us.census.acs.extract_school_district_5yr_2014_4e4488529e,occupation_sales_office,"{""stats"": {""count"": 10923.0, ""avg"": 3225.9920351551773, ""mode"": 0.0, ""stddev"": 18623.55478773, ""notnull"": 10923.0, ""max"": 1105141.0, ""min"": 0.0, ""median"": 820.0}}"
-3552,,,us.census.acs.C24050057,us.census.acs.extract_school_district_5yr_2014_4e4488529e,occupation_natural_resources_construction_maintenance,"{""stats"": {""count"": 10923.0, ""avg"": 1188.3733406573285, ""mode"": 0.0, ""stddev"": 6610.027557371562, ""notnull"": 10923.0, ""max"": 488515.0, ""min"": 0.0, ""median"": 415.0}}"
-3553,,,us.census.acs.C24050071,us.census.acs.extract_school_district_5yr_2014_4e4488529e,occupation_production_transportation_material,"{""stats"": {""count"": 10923.0, ""avg"": 1597.4761512405016, ""mode"": 0.0, ""stddev"": 8145.216599645706, ""notnull"": 10923.0, ""max"": 499721.0, ""min"": 0.0, ""median"": 551.0}}"
-3554,,,us.census.acs.B01001003,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_under_5,"{""stats"": {""count"": 10923.0, ""avg"": 943.9705209191615, ""mode"": 0.0, ""stddev"": 5717.886887316702, ""notnull"": 10923.0, ""max"": 364188.0, ""min"": 0.0, ""median"": 242.0}}"
-3555,,,us.census.acs.B01001004,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_10_to_14,"{""stats"": {""count"": 10923.0, ""avg"": 966.0868808935275, ""mode"": 0.0, ""stddev"": 5652.981580370961, ""notnull"": 10923.0, ""max"": 380454.0, ""min"": 0.0, ""median"": 266.0}}"
-3556,,,us.census.acs.B01001006,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_15_to_17,"{""stats"": {""count"": 10923.0, ""avg"": 600.9339009429644, ""mode"": 0.0, ""stddev"": 3544.24014699372, ""notnull"": 10923.0, ""max"": 240502.0, ""min"": 0.0, ""median"": 179.0}}"
-3557,,,us.census.acs.B01001007,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_18_to_19,"{""stats"": {""count"": 10923.0, ""avg"": 421.5078275199121, ""mode"": 0.0, ""stddev"": 2414.658715332983, ""notnull"": 10923.0, ""max"": 157618.0, ""min"": 0.0, ""median"": 103.0}}"
-3558,,,us.census.acs.B01001008,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_20,"{""stats"": {""count"": 10923.0, ""avg"": 227.42552412340933, ""mode"": 0.0, ""stddev"": 1359.034631411234, ""notnull"": 10923.0, ""max"": 88033.0, ""min"": 0.0, ""median"": 49.0}}"
-3559,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_block_group_5yr_2011_3f182d0090,no_car_quantile,
-3560,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,total_pop_quantile,
-3561,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_pop_quantile,
-3562,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_pop_quantile,
-3563,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,median_age_quantile,
-3564,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,white_pop_quantile,
-3565,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,black_pop_quantile,
-3566,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,asian_pop_quantile,
-3567,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,hispanic_pop_quantile,
-3568,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,amerindian_pop_quantile,
-3569,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,other_race_pop_quantile,
-3570,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,two_or_more_races_pop_quantile,
-3571,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,not_hispanic_pop_quantile,
-3572,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,not_us_citizen_pop_quantile,
-3573,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,workers_16_and_over_quantile,
-3574,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_by_car_truck_van_quantile,
-3575,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_drove_alone_quantile,
-3576,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_by_carpool_quantile,
-3577,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_by_public_transportation_quantile,
-3578,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_by_bus_quantile,
-3579,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_by_subway_or_elevated_quantile,
-3580,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,walked_to_work_quantile,
-3581,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,worked_at_home_quantile,
-3582,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,children_quantile,
-3583,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,households_quantile,
-3584,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,population_3_years_over_quantile,
-3585,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,in_school_quantile,
-3586,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,in_grades_1_to_4_quantile,
-3587,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,in_grades_5_to_8_quantile,
-3588,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,in_grades_9_to_12_quantile,
-3589,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,in_undergrad_college_quantile,
-3590,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_25_years_over_quantile,
-3591,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,high_school_diploma_quantile,
-3592,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,less_one_year_college_quantile,
-3593,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,one_year_more_college_quantile,
-3594,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,associates_degree_quantile,
-3595,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,bachelors_degree_quantile,
-3596,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,masters_degree_quantile,
-3597,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_5_years_over_quantile,
-3598,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,speak_only_english_at_home_quantile,
-3599,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,speak_spanish_at_home_quantile,
-3600,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_determined_poverty_status_quantile,
-3601,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,poverty_quantile,
-3602,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,median_income_quantile,
-3603,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,gini_index_quantile,
-3604,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_per_capita_quantile,
-3605,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,housing_units_quantile,
-3606,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,vacant_housing_units_quantile,
-3607,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,vacant_housing_units_for_rent_quantile,
-3608,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,vacant_housing_units_for_sale_quantile,
-3609,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,median_rent_quantile,
-3610,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,percent_income_spent_on_rent_quantile,
-3611,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,owner_occupied_housing_units_quantile,
-3612,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,million_dollar_housing_units_quantile,
-3613,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,mortgaged_housing_units_quantile,
-3614,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,families_with_young_children_quantile,
-3615,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,two_parent_families_with_young_children_quantile,
-3616,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,two_parents_in_labor_force_families_with_young_children_quantile,
-3617,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,two_parents_father_in_labor_force_families_with_young_children_quantile,
-3618,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-3619,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,two_parents_not_in_labor_force_families_with_young_children_quantile,
-3620,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,one_parent_families_with_young_children_quantile,
-3621,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,father_one_parent_families_with_young_children_quantile,
-3622,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_16_over_quantile,
-3623,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_in_labor_force_quantile,
-3624,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,civilian_labor_force_quantile,
-3625,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_pop_quantile,
-3626,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,unemployed_pop_quantile,
-3627,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,armed_forces_quantile,
-3628,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,not_in_labor_force_quantile,
-3629,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,black_male_45_54_quantile,
-3630,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,black_male_55_64_quantile,
-3631,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,hispanic_male_45_54_quantile,
-3632,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,hispanic_male_55_64_quantile,
-3633,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,white_male_45_54_quantile,
-3634,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,white_male_55_64_quantile,
-3635,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,asian_male_45_54_quantile,
-3636,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,asian_male_55_64_quantile,
-3637,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_less_than_9_grade_quantile,
-3638,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_grade_9_12_quantile,
-3639,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_high_school_quantile,
-3640,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_some_college_quantile,
-3641,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_associates_degree_quantile,
-3642,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_bachelors_degree_quantile,
-3643,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_64_graduate_degree_quantile,
-3644,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,father_in_labor_force_one_parent_families_with_young_children_quantile,
-3645,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_15_and_over_quantile,
-3646,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_never_married_quantile,
-3647,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_now_married_quantile,
-3648,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_separated_quantile,
-3649,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_widowed_quantile,
-3650,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,pop_divorced_quantile,
-3651,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commuters_16_over_quantile,
-3652,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_less_10_mins_quantile,
-3653,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_10_14_mins_quantile,
-3654,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_15_19_mins_quantile,
-3655,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_20_24_mins_quantile,
-3656,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_25_29_mins_quantile,
-3657,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_30_34_mins_quantile,
-3658,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_35_44_mins_quantile,
-3659,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_45_59_mins_quantile,
-3660,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_60_more_mins_quantile,
-3661,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,aggregate_travel_time_to_work_quantile,
-3662,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_less_10000_quantile,
-3663,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_10000_14999_quantile,
-3664,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_15000_19999_quantile,
-3665,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_20000_24999_quantile,
-3666,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_25000_29999_quantile,
-3667,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_30000_34999_quantile,
-3668,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_35000_39999_quantile,
-3669,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_40000_44999_quantile,
-3670,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_45000_49999_quantile,
-3671,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_50000_59999_quantile,
-3672,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_60000_74999_quantile,
-3673,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_75000_99999_quantile,
-3674,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_100000_124999_quantile,
-3675,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_125000_149999_quantile,
-3676,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_150000_199999_quantile,
-3677,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,income_200000_or_more_quantile,
-3678,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-3679,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,owner_occupied_housing_units_lower_value_quartile_quantile,
-3680,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,owner_occupied_housing_units_median_value_quantile,
-3681,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,owner_occupied_housing_units_upper_value_quartile_quantile,
-3682,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,less_than_high_school_graduate_quantile,
-3683,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,high_school_including_ged_quantile,
-3684,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,some_college_and_associates_degree_quantile,
-3685,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,bachelors_degree_2_quantile,
-3686,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,graduate_professional_degree_quantile,
-3687,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,children_in_single_female_hh_quantile,
-3688,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,married_households_quantile,
-3689,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_male_households_quantile,
-3690,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_female_households_quantile,
-3691,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,occupied_housing_units_quantile,
-3692,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,speak_spanish_at_home_low_english_quantile,
-3693,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,housing_units_renter_occupied_quantile,
-3694,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_1_units_detached_quantile,
-3695,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_1_units_attached_quantile,
-3696,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_2_units_quantile,
-3697,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_3_to_4_units_quantile,
-3698,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_5_to_9_units_quantile,
-3699,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_10_to_19_units_quantile,
-3700,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_20_to_49_units_quantile,
-3701,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,dwellings_50_or_more_units_quantile,
-3702,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,mobile_homes_quantile,
-3703,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,housing_built_2005_or_later_quantile,
-3704,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,housing_built_2000_to_2004_quantile,
-3705,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,housing_built_1939_or_earlier_quantile,
-3706,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-3707,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_construction_quantile,
-3708,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_manufacturing_quantile,
-3709,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_wholesale_trade_quantile,
-3710,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_retail_trade_quantile,
-3711,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_transportation_warehousing_utilities_quantile,
-3712,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_information_quantile,
-3713,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_finance_insurance_real_estate_quantile,
-3714,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_science_management_admin_waste_quantile,
-3715,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_education_health_social_quantile,
-3716,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_arts_entertainment_recreation_accommodation_food_quantile,
-3717,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_other_services_not_public_admin_quantile,
-3718,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,employed_public_administration_quantile,
-3719,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,occupation_management_arts_quantile,
-3720,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,occupation_services_quantile,
-3721,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,occupation_sales_office_quantile,
-3722,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,occupation_natural_resources_construction_maintenance_quantile,
-3723,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,occupation_production_transportation_material_quantile,
-3724,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_under_5_quantile,
-3725,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_10_to_14_quantile,
-3726,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_15_to_17_quantile,
-3727,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_18_to_19_quantile,
-3728,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_20_quantile,
-3729,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_21_quantile,
-3730,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_22_to_24_quantile,
-3731,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_25_to_29_quantile,
-3732,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_30_to_34_quantile,
-3733,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_35_to_39_quantile,
-3734,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_40_to_44_quantile,
-3735,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_to_64_quantile,
-3736,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_45_to_49_quantile,
-3737,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_50_to_54_quantile,
-3738,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_55_to_59_quantile,
-3739,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_60_61_quantile,
-3740,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_62_64_quantile,
-3741,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_65_to_66_quantile,
-3742,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_67_to_69_quantile,
-3743,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_70_to_74_quantile,
-3744,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_75_to_79_quantile,
-3745,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_80_to_84_quantile,
-3746,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,male_85_and_over_quantile,
-3747,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_under_5_quantile,
-3748,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_5_to_9_quantile,
-3749,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_10_to_14_quantile,
-3750,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_15_to_17_quantile,
-3751,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_18_to_19_quantile,
-3752,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_20_quantile,
-3753,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_21_quantile,
-3754,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_22_to_24_quantile,
-3755,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_25_to_29_quantile,
-3756,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_30_to_34_quantile,
-3757,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_35_to_39_quantile,
-3758,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_40_to_44_quantile,
-3759,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_45_to_49_quantile,
-3760,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_50_to_54_quantile,
-3761,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_55_to_59_quantile,
-3762,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_60_to_61_quantile,
-3763,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_62_to_64_quantile,
-3764,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_65_to_66_quantile,
-3765,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_67_to_69_quantile,
-3766,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_70_to_74_quantile,
-3767,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_75_to_79_quantile,
-3768,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_80_to_84_quantile,
-3769,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,female_85_and_over_quantile,
-3770,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,white_including_hispanic_quantile,
-3771,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,black_including_hispanic_quantile,
-3772,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,amerindian_including_hispanic_quantile,
-3773,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,asian_including_hispanic_quantile,
-3774,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,hispanic_any_race_quantile,
-3775,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_5_9_mins_quantile,
-3776,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_35_39_mins_quantile,
-3777,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_40_44_mins_quantile,
-3778,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_60_89_mins_quantile,
-3779,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,commute_90_more_mins_quantile,
-3780,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,households_public_asst_or_food_stamps_quantile,
-3781,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,households_retirement_income_quantile,
-3782,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,population_1_year_and_over_quantile,
-3783,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,different_house_year_ago_same_city_quantile,
-3784,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,different_house_year_ago_different_city_quantile,
-3785,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,group_quarters_quantile,
-3786,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_census_tract_5yr_2011_59b39a8d75,no_car_quantile,
-3787,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,total_pop_quantile,
-3788,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_pop_quantile,
-3789,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_pop_quantile,
-3790,,,us.census.acs.B01002001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,median_age_quantile,
-3791,,,us.census.acs.B03002003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,white_pop_quantile,
-3792,,,us.census.acs.B03002004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,black_pop_quantile,
-3793,,,us.census.acs.B03002006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,asian_pop_quantile,
-3794,,,us.census.acs.B03002012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,hispanic_pop_quantile,
-3795,,,us.census.acs.B03002005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,amerindian_pop_quantile,
-3796,,,us.census.acs.B03002008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,other_race_pop_quantile,
-3797,,,us.census.acs.B03002009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,two_or_more_races_pop_quantile,
-3798,,,us.census.acs.B03002002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,not_hispanic_pop_quantile,
-3799,,,us.census.acs.B05001006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,not_us_citizen_pop_quantile,
-3800,,,us.census.acs.B08006001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,workers_16_and_over_quantile,
-3801,,,us.census.acs.B08006002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_by_car_truck_van_quantile,
-3802,,,us.census.acs.B08006003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_drove_alone_quantile,
-3803,,,us.census.acs.B08006004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_by_carpool_quantile,
-3804,,,us.census.acs.B08301010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_by_public_transportation_quantile,
-3805,,,us.census.acs.B08006009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_by_bus_quantile,
-3806,,,us.census.acs.B08006011_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_by_subway_or_elevated_quantile,
-3807,,,us.census.acs.B08006015_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,walked_to_work_quantile,
-3808,,,us.census.acs.B08006017_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,worked_at_home_quantile,
-3809,,,us.census.acs.B09001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,children_quantile,
-3810,,,us.census.acs.B11001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,households_quantile,
-3811,,,us.census.acs.B14001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,population_3_years_over_quantile,
-3812,,,us.census.acs.B14001002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,in_school_quantile,
-3813,,,us.census.acs.B14001005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,in_grades_1_to_4_quantile,
-3814,,,us.census.acs.B14001006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,in_grades_5_to_8_quantile,
-3815,,,us.census.acs.B14001007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,in_grades_9_to_12_quantile,
-3816,,,us.census.acs.B14001008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,in_undergrad_college_quantile,
-3817,,,us.census.acs.B15003001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_25_years_over_quantile,
-3818,,,us.census.acs.B15003017_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,high_school_diploma_quantile,
-3819,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,less_one_year_college_quantile,
-3820,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,one_year_more_college_quantile,
-3821,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,associates_degree_quantile,
-3822,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,bachelors_degree_quantile,
-3823,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,masters_degree_quantile,
-3824,,,us.census.acs.B16001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_5_years_over_quantile,
-3825,,,us.census.acs.B01001009,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_21,"{""stats"": {""count"": 10923.0, ""avg"": 221.01501419024078, ""mode"": 0.0, ""stddev"": 1328.332135551874, ""notnull"": 10923.0, ""max"": 85474.0, ""min"": 0.0, ""median"": 47.0}}"
-3826,,,us.census.acs.B01001010,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_22_to_24,"{""stats"": {""count"": 10923.0, ""avg"": 613.0414721230431, ""mode"": 0.0, ""stddev"": 3818.509592262292, ""notnull"": 10923.0, ""max"": 237090.0, ""min"": 0.0, ""median"": 140.0}}"
-3827,,,us.census.acs.B01001011,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_25_to_29,"{""stats"": {""count"": 10923.0, ""avg"": 1003.2497482376637, ""mode"": 0.0, ""stddev"": 6650.681658136205, ""notnull"": 10923.0, ""max"": 383214.0, ""min"": 0.0, ""median"": 223.0}}"
-3828,,,us.census.acs.B01001012,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_30_to_34,"{""stats"": {""count"": 10923.0, ""avg"": 967.7889773871647, ""mode"": 0.0, ""stddev"": 6254.2112927462, ""notnull"": 10923.0, ""max"": 363909.0, ""min"": 0.0, ""median"": 231.0}}"
-3829,,,us.census.acs.B01001013,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_35_to_39,"{""stats"": {""count"": 10923.0, ""avg"": 913.6429552320791, ""mode"": 0.0, ""stddev"": 5731.198265678551, ""notnull"": 10923.0, ""max"": 347572.0, ""min"": 0.0, ""median"": 239.0}}"
-3830,,,us.census.acs.B01001014,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_40_to_44,"{""stats"": {""count"": 10923.0, ""avg"": 962.478439989014, ""mode"": 0.0, ""stddev"": 5787.341959462168, ""notnull"": 10923.0, ""max"": 360857.0, ""min"": 0.0, ""median"": 265.0}}"
-3831,,,us.census.acs.B15001027,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_45_to_64,"{""stats"": {""count"": 10923.0, ""avg"": 3736.401629588941, ""mode"": 264.0, ""stddev"": 20747.20297421, ""notnull"": 10923.0, ""max"": 1310978.0, ""min"": 0.0, ""median"": 1200.0}}"
-3832,,,us.census.acs.B01001015,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_45_to_49,"{""stats"": {""count"": 10923.0, ""avg"": 993.5995605602857, ""mode"": 0.0, ""stddev"": 5786.609865117055, ""notnull"": 10923.0, ""max"": 367579.0, ""min"": 0.0, ""median"": 294.0}}"
-3833,,,us.census.acs.B01001016,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_50_to_54,"{""stats"": {""count"": 10923.0, ""avg"": 1021.36803076078, ""mode"": 0.0, ""stddev"": 5695.971128413219, ""notnull"": 10923.0, ""max"": 362161.0, ""min"": 0.0, ""median"": 324.0}}"
-3834,,,us.census.acs.B01001017,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_55_to_59,"{""stats"": {""count"": 10923.0, ""avg"": 923.748695413348, ""mode"": 0.0, ""stddev"": 5028.156389330236, ""notnull"": 10923.0, ""max"": 316352.0, ""min"": 0.0, ""median"": 302.0}}"
-3835,,,us.census.acs.B01001018,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_60_61,"{""stats"": {""count"": 10923.0, ""avg"": 336.9080838597455, ""mode"": 0.0, ""stddev"": 1821.960174127565, ""notnull"": 10923.0, ""max"": 113284.0, ""min"": 0.0, ""median"": 112.0}}"
-3836,,,us.census.acs.B01001019,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_62_64,"{""stats"": {""count"": 10923.0, ""avg"": 460.7772589947817, ""mode"": 0.0, ""stddev"": 2436.61093417778, ""notnull"": 10923.0, ""max"": 151602.0, ""min"": 0.0, ""median"": 156.0}}"
-3837,,,us.census.acs.B01001020,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_65_to_66,"{""stats"": {""count"": 10923.0, ""avg"": 270.21074796301383, ""mode"": 0.0, ""stddev"": 1415.963269016955, ""notnull"": 10923.0, ""max"": 87264.0, ""min"": 0.0, ""median"": 90.0}}"
-3838,,,us.census.acs.B01001021,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_67_to_69,"{""stats"": {""count"": 10923.0, ""avg"": 335.6305959901126, ""mode"": 0.0, ""stddev"": 1749.255007285683, ""notnull"": 10923.0, ""max"": 105747.0, ""min"": 0.0, ""median"": 115.0}}"
-3839,,,us.census.acs.B01001022,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_70_to_74,"{""stats"": {""count"": 10923.0, ""avg"": 433.21633250938385, ""mode"": 0.0, ""stddev"": 2307.993174874537, ""notnull"": 10923.0, ""max"": 139935.0, ""min"": 0.0, ""median"": 153.0}}"
-3840,,,us.census.acs.B01001023,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_75_to_79,"{""stats"": {""count"": 10923.0, ""avg"": 308.9220910006409, ""mode"": 0.0, ""stddev"": 1668.047936920964, ""notnull"": 10923.0, ""max"": 100611.0, ""min"": 0.0, ""median"": 107.0}}"
-3841,,,us.census.acs.B01001024,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_80_to_84,"{""stats"": {""count"": 10923.0, ""avg"": 219.00219719857182, ""mode"": 0.0, ""stddev"": 1195.723283551575, ""notnull"": 10923.0, ""max"": 72513.0, ""min"": 0.0, ""median"": 73.0}}"
-3842,,,us.census.acs.B16001002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,speak_only_english_at_home_quantile,
-3843,,,us.census.acs.B16001003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,speak_spanish_at_home_quantile,
-3844,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_determined_poverty_status_quantile,
-3845,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,poverty_quantile,
-3846,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,median_income_quantile,
-3847,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,gini_index_quantile,
-3848,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_per_capita_quantile,
-3849,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,housing_units_quantile,
-3850,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,vacant_housing_units_quantile,
-3851,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,vacant_housing_units_for_rent_quantile,
-3852,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,vacant_housing_units_for_sale_quantile,
-3853,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,median_rent_quantile,
-3854,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,percent_income_spent_on_rent_quantile,
-3855,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,owner_occupied_housing_units_quantile,
-3856,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,million_dollar_housing_units_quantile,
-3857,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,mortgaged_housing_units_quantile,
-3858,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,families_with_young_children_quantile,
-3859,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,two_parent_families_with_young_children_quantile,
-3860,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,two_parents_in_labor_force_families_with_young_children_quantile,
-3861,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,two_parents_father_in_labor_force_families_with_young_children_quantile,
-3862,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-3863,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,two_parents_not_in_labor_force_families_with_young_children_quantile,
-3864,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,one_parent_families_with_young_children_quantile,
-3865,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,father_one_parent_families_with_young_children_quantile,
-3866,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_16_over_quantile,
-3867,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_in_labor_force_quantile,
-3868,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,civilian_labor_force_quantile,
-3869,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_pop_quantile,
-3870,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,unemployed_pop_quantile,
-3871,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,armed_forces_quantile,
-3872,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,not_in_labor_force_quantile,
-3873,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,black_male_45_54_quantile,
-3874,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,black_male_55_64_quantile,
-3875,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,hispanic_male_45_54_quantile,
-3876,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,hispanic_male_55_64_quantile,
-3877,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,white_male_45_54_quantile,
-3878,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,white_male_55_64_quantile,
-3879,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,asian_male_45_54_quantile,
-3880,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,asian_male_55_64_quantile,
-3881,,,us.census.acs.B15001028_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_less_than_9_grade_quantile,
-3882,,,us.census.acs.B15001029_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_grade_9_12_quantile,
-3883,,,us.census.acs.B15001030_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_high_school_quantile,
-3884,,,us.census.acs.B15001031_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_some_college_quantile,
-3885,,,us.census.acs.B15001032_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_associates_degree_quantile,
-3886,,,us.census.acs.B15001033_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_bachelors_degree_quantile,
-3887,,,us.census.acs.B15001034_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_64_graduate_degree_quantile,
-3888,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,father_in_labor_force_one_parent_families_with_young_children_quantile,
-3889,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_15_and_over_quantile,
-3890,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_never_married_quantile,
-3891,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_now_married_quantile,
-3892,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_separated_quantile,
-3893,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_widowed_quantile,
-3894,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,pop_divorced_quantile,
-3895,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commuters_16_over_quantile,
-3896,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_less_10_mins_quantile,
-3897,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_10_14_mins_quantile,
-3898,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_15_19_mins_quantile,
-3899,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_20_24_mins_quantile,
-3900,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_25_29_mins_quantile,
-3901,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_30_34_mins_quantile,
-3902,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_35_44_mins_quantile,
-3903,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_45_59_mins_quantile,
-3904,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_60_more_mins_quantile,
-3905,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,aggregate_travel_time_to_work_quantile,
-3906,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_less_10000_quantile,
-3907,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_10000_14999_quantile,
-3908,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_15000_19999_quantile,
-3909,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_20000_24999_quantile,
-3910,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_25000_29999_quantile,
-3911,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_30000_34999_quantile,
-3912,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_35000_39999_quantile,
-3913,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_40000_44999_quantile,
-3914,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_45000_49999_quantile,
-3915,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_50000_59999_quantile,
-3916,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_60000_74999_quantile,
-3917,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_75000_99999_quantile,
-3918,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_100000_124999_quantile,
-3919,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_125000_149999_quantile,
-3920,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_150000_199999_quantile,
-3921,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,income_200000_or_more_quantile,
-3922,,,us.census.acs.B25064001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,renter_occupied_housing_units_paying_cash_median_gross_rent_quantile,
-3923,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,owner_occupied_housing_units_lower_value_quartile_quantile,
-3924,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,owner_occupied_housing_units_median_value_quantile,
-3925,,,us.census.acs.B25078001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,owner_occupied_housing_units_upper_value_quartile_quantile,
-3926,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,less_than_high_school_graduate_quantile,
-3927,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,high_school_including_ged_quantile,
-3928,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,some_college_and_associates_degree_quantile,
-3929,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,bachelors_degree_2_quantile,
-3930,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,graduate_professional_degree_quantile,
-3931,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,children_in_single_female_hh_quantile,
-3932,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,married_households_quantile,
-3933,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_male_households_quantile,
-3934,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_female_households_quantile,
-3935,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,occupied_housing_units_quantile,
-3936,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,speak_spanish_at_home_low_english_quantile,
-3937,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,housing_units_renter_occupied_quantile,
-3938,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_1_units_detached_quantile,
-3939,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_1_units_attached_quantile,
-3940,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_2_units_quantile,
-3941,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_3_to_4_units_quantile,
-3942,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_5_to_9_units_quantile,
-3943,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_10_to_19_units_quantile,
-3944,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_20_to_49_units_quantile,
-3945,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,dwellings_50_or_more_units_quantile,
-3946,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,mobile_homes_quantile,
-3947,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,housing_built_2005_or_later_quantile,
-3948,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,housing_built_2000_to_2004_quantile,
-3949,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,housing_built_1939_or_earlier_quantile,
-3950,,,us.census.acs.C24050002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_agriculture_forestry_fishing_hunting_mining_quantile,
-3951,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_construction_quantile,
-3952,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_manufacturing_quantile,
-3953,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_wholesale_trade_quantile,
-3954,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_retail_trade_quantile,
-3955,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_transportation_warehousing_utilities_quantile,
-3956,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_information_quantile,
-3957,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_finance_insurance_real_estate_quantile,
-3958,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_science_management_admin_waste_quantile,
-3959,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_education_health_social_quantile,
-3960,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_arts_entertainment_recreation_accommodation_food_quantile,
-3961,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_other_services_not_public_admin_quantile,
-3962,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,employed_public_administration_quantile,
-3963,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,occupation_management_arts_quantile,
-3964,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,occupation_services_quantile,
-3965,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,occupation_sales_office_quantile,
-3966,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,occupation_natural_resources_construction_maintenance_quantile,
-3967,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,occupation_production_transportation_material_quantile,
-3968,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_under_5_quantile,
-3969,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_10_to_14_quantile,
-3970,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_15_to_17_quantile,
-3971,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_18_to_19_quantile,
-3972,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_20_quantile,
-3973,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_21_quantile,
-3974,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_22_to_24_quantile,
-3975,,,us.census.acs.B01001011_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_25_to_29_quantile,
-3976,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_30_to_34_quantile,
-3977,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_35_to_39_quantile,
-3978,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_40_to_44_quantile,
-3979,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_to_64_quantile,
-3980,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_45_to_49_quantile,
-3981,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_50_to_54_quantile,
-3982,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_55_to_59_quantile,
-3983,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_60_61_quantile,
-3984,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_62_64_quantile,
-3985,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_65_to_66_quantile,
-3986,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_67_to_69_quantile,
-3987,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_70_to_74_quantile,
-3988,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_75_to_79_quantile,
-3989,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_80_to_84_quantile,
-3990,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,male_85_and_over_quantile,
-3991,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_under_5_quantile,
-3992,,,us.census.acs.B01001028_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_5_to_9_quantile,
-3993,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_10_to_14_quantile,
-3994,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_15_to_17_quantile,
-3995,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_18_to_19_quantile,
-3996,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_20_quantile,
-3997,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_21_quantile,
-3998,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_22_to_24_quantile,
-3999,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_25_to_29_quantile,
-4000,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_30_to_34_quantile,
-4001,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_35_to_39_quantile,
-4002,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_40_to_44_quantile,
-4003,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_45_to_49_quantile,
-4004,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_50_to_54_quantile,
-4005,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_55_to_59_quantile,
-4006,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_60_to_61_quantile,
-4007,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_62_to_64_quantile,
-4008,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_65_to_66_quantile,
-4009,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_67_to_69_quantile,
-4010,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_70_to_74_quantile,
-4011,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_75_to_79_quantile,
-4012,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_80_to_84_quantile,
-4013,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,female_85_and_over_quantile,
-4014,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,white_including_hispanic_quantile,
-4015,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,black_including_hispanic_quantile,
-4016,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,amerindian_including_hispanic_quantile,
-4017,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,asian_including_hispanic_quantile,
-4018,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,hispanic_any_race_quantile,
-4019,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_5_9_mins_quantile,
-4020,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_35_39_mins_quantile,
-4021,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_40_44_mins_quantile,
-4022,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_60_89_mins_quantile,
-4023,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,commute_90_more_mins_quantile,
-4024,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,households_public_asst_or_food_stamps_quantile,
-4025,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,households_retirement_income_quantile,
-4026,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,population_1_year_and_over_quantile,
-4027,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,different_house_year_ago_same_city_quantile,
-4028,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,different_house_year_ago_different_city_quantile,
-4029,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,group_quarters_quantile,
-4030,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_county_5yr_2011_526e0975ff,no_car_quantile,
-4031,,,us.census.acs.B01001025,us.census.acs.extract_school_district_5yr_2014_4e4488529e,male_85_and_over,"{""stats"": {""count"": 10923.0, ""avg"": 179.6343495376728, ""mode"": 0.0, ""stddev"": 1035.204657065312, ""notnull"": 10923.0, ""max"": 61586.0, ""min"": 0.0, ""median"": 55.0}}"
-4032,,,us.census.acs.B01001027,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_under_5,"{""stats"": {""count"": 10923.0, ""avg"": 903.3924745948915, ""mode"": 0.0, ""stddev"": 5491.187581969282, ""notnull"": 10923.0, ""max"": 352037.0, ""min"": 0.0, ""median"": 231.0}}"
-4033,,,us.census.acs.B01001028,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_5_to_9,"{""stats"": {""count"": 10923.0, ""avg"": 927.3109035979127, ""mode"": 0.0, ""stddev"": 5415.094315509555, ""notnull"": 10923.0, ""max"": 363135.0, ""min"": 0.0, ""median"": 256.0}}"
-4034,,,us.census.acs.B01001029,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_10_to_14,"{""stats"": {""count"": 10923.0, ""avg"": 936.686075254051, ""mode"": 0.0, ""stddev"": 5435.594632539947, ""notnull"": 10923.0, ""max"": 365111.0, ""min"": 0.0, ""median"": 267.0}}"
-4035,,,us.census.acs.B01001030,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_15_to_17,"{""stats"": {""count"": 10923.0, ""avg"": 571.2645793280234, ""mode"": 0.0, ""stddev"": 3396.656031053985, ""notnull"": 10923.0, ""max"": 229522.0, ""min"": 0.0, ""median"": 166.0}}"
-4036,,,us.census.acs.B01001031,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_18_to_19,"{""stats"": {""count"": 10923.0, ""avg"": 400.0729653025725, ""mode"": 0.0, ""stddev"": 2324.869465451252, ""notnull"": 10923.0, ""max"": 147250.0, ""min"": 0.0, ""median"": 88.0}}"
-4037,,,us.census.acs.B01001032,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_20,"{""stats"": {""count"": 10923.0, ""avg"": 216.4355946168635, ""mode"": 0.0, ""stddev"": 1297.203186216345, ""notnull"": 10923.0, ""max"": 80225.0, ""min"": 0.0, ""median"": 42.0}}"
-4038,,,us.census.acs.B01001033,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_21,"{""stats"": {""count"": 10923.0, ""avg"": 210.551863041289, ""mode"": 0.0, ""stddev"": 1247.670401608917, ""notnull"": 10923.0, ""max"": 73060.0, ""min"": 0.0, ""median"": 39.0}}"
-6308,,,us.census.tiger.school_district_unified_clipped,us.census.tiger.shoreline_clip_school_district_2014_da01eb1bf7,the_geom,
-4039,,,us.census.acs.B01001034,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_22_to_24,"{""stats"": {""count"": 10923.0, ""avg"": 587.0015563489884, ""mode"": 0.0, ""stddev"": 3730.493595967861, ""notnull"": 10923.0, ""max"": 212029.0, ""min"": 0.0, ""median"": 127.0}}"
-4040,,,us.census.acs.B01001035,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_25_to_29,"{""stats"": {""count"": 10923.0, ""avg"": 981.2318959992676, ""mode"": 0.0, ""stddev"": 6616.528539754515, ""notnull"": 10923.0, ""max"": 394723.0, ""min"": 0.0, ""median"": 213.0}}"
-4041,,,us.census.acs.B01001036,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_30_to_34,"{""stats"": {""count"": 10923.0, ""avg"": 964.0774512496566, ""mode"": 0.0, ""stddev"": 6265.930654879183, ""notnull"": 10923.0, ""max"": 358558.0, ""min"": 0.0, ""median"": 226.0}}"
-4042,,,us.census.acs.B01001037,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_35_to_39,"{""stats"": {""count"": 10923.0, ""avg"": 920.207818364918, ""mode"": 0.0, ""stddev"": 5812.968018769992, ""notnull"": 10923.0, ""max"": 348199.0, ""min"": 0.0, ""median"": 232.0}}"
-6348,,,us.census.lodes.jobs_hawaiian,us.census.lodes.workplace_area_characteristics_2013_dd20d99063,jobs_hawaiian,
-4043,,,us.census.acs.B01001038,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_40_to_44,"{""stats"": {""count"": 10923.0, ""avg"": 974.589581616772, ""mode"": 0.0, ""stddev"": 5921.818058248275, ""notnull"": 10923.0, ""max"": 361756.0, ""min"": 0.0, ""median"": 263.0}}"
-4044,,,us.census.acs.B01001039,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_45_to_49,"{""stats"": {""count"": 10923.0, ""avg"": 1017.3999816900119, ""mode"": 0.0, ""stddev"": 5977.653959062572, ""notnull"": 10923.0, ""max"": 368935.0, ""min"": 0.0, ""median"": 293.0}}"
-4045,,,us.census.tiger.cbsa_geoid,us.census.tiger.shoreline_clip_cbsa_2014_558f9e0c3a,geoid,
-4046,,,us.census.tiger.cbsa_clipped,us.census.tiger.shoreline_clip_cbsa_2014_558f9e0c3a,the_geom,
-4047,,,us.census.tiger.aland,us.census.tiger.shoreline_clip_cbsa_2014_558f9e0c3a,aland,
-4048,,,es.ine.cusec_id,es.ine.geometry_99914b932b,cusec_id,
-4049,,,us.census.acs.B01001040,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_50_to_54,"{""stats"": {""count"": 10923.0, ""avg"": 1062.1922548750342, ""mode"": 60.0, ""stddev"": 6019.937641273492, ""notnull"": 10923.0, ""max"": 371119.0, ""min"": 0.0, ""median"": 324.0}}"
-4050,,,es.ine.cusec_id,es.ine.raw_five_year_population_99914b932b,cusec_id,
-4051,,,us.census.acs.B01001041,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_55_to_59,"{""stats"": {""count"": 10923.0, ""avg"": 984.3794745033416, ""mode"": 36.0, ""stddev"": 5482.440094228632, ""notnull"": 10923.0, ""max"": 335402.0, ""min"": 0.0, ""median"": 304.0}}"
-4052,,,us.census.acs.B01001042,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_60_to_61,"{""stats"": {""count"": 10923.0, ""avg"": 363.21395221093104, ""mode"": 0.0, ""stddev"": 2023.887152618961, ""notnull"": 10923.0, ""max"": 120448.0, ""min"": 0.0, ""median"": 112.0}}"
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-6567,,,us.census.acs.B17001001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,pop_determined_poverty_status_quantile,
-6568,,,us.census.acs.B17001002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,poverty_quantile,
-6569,,,us.census.acs.B19013001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,median_income_quantile,
-6570,,,us.census.acs.B19083001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,gini_index_quantile,
-6571,,,us.census.acs.B19301001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,income_per_capita_quantile,
-6572,,,us.census.acs.B25001001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,housing_units_quantile,
-6573,,,us.census.acs.B25002003_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,vacant_housing_units_quantile,
-6574,,,us.census.acs.B25004002_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,vacant_housing_units_for_rent_quantile,
-6575,,,us.census.acs.B25004004_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,vacant_housing_units_for_sale_quantile,
-6576,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,median_rent_quantile,
-6577,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,percent_income_spent_on_rent_quantile,
-6578,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_census_tract_5yr_2014_fb3da650da,owner_occupied_housing_units_quantile,
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-6741,,,us.census.acs.B25058001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,median_rent_quantile,
-6742,,,us.census.acs.B25071001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,percent_income_spent_on_rent_quantile,
-6743,,,us.census.acs.B25075001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,owner_occupied_housing_units_quantile,
-6744,,,us.census.acs.B25075025_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,million_dollar_housing_units_quantile,
-6745,,,us.census.acs.B25081002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,mortgaged_housing_units_quantile,
-6746,,,us.census.acs.B23008002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,families_with_young_children_quantile,
-6747,,,us.census.acs.B23008003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,two_parent_families_with_young_children_quantile,
-6748,,,us.census.acs.B23008004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,two_parents_in_labor_force_families_with_young_children_quantile,
-6749,,,us.census.acs.B23008005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,two_parents_father_in_labor_force_families_with_young_children_quantile,
-6750,,,us.census.acs.B23008006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,two_parents_mother_in_labor_force_families_with_young_children_quantile,
-6751,,,us.census.acs.B23008007_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,two_parents_not_in_labor_force_families_with_young_children_quantile,
-6752,,,us.census.acs.B23008008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,one_parent_families_with_young_children_quantile,
-6753,,,us.census.acs.B23008009_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,father_one_parent_families_with_young_children_quantile,
-6754,,,us.census.acs.B23025001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_16_over_quantile,
-6755,,,us.census.acs.B23025002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_in_labor_force_quantile,
-6756,,,us.census.acs.B23025003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,civilian_labor_force_quantile,
-6757,,,us.census.acs.B23025004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,employed_pop_quantile,
-6758,,,us.census.acs.B23025005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,unemployed_pop_quantile,
-6759,,,us.census.acs.B23025006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,armed_forces_quantile,
-6760,,,us.census.acs.B23025007_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,not_in_labor_force_quantile,
-6761,,,us.census.acs.B01001B012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,black_male_45_54_quantile,
-6762,,,us.census.acs.B01001B013_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,black_male_55_64_quantile,
-6763,,,us.census.acs.B01001I012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,hispanic_male_45_54_quantile,
-6764,,,us.census.acs.B01001I013_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,hispanic_male_55_64_quantile,
-6765,,,us.census.acs.B01001H012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,white_male_45_54_quantile,
-6766,,,us.census.acs.B01001H013_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,white_male_55_64_quantile,
-6767,,,us.census.acs.B08006009,us.census.acs.extract_county_5yr_2014_e045f8e78c,commuters_by_bus,"{""stats"": {""count"": 3220.0, ""avg"": 1159.6332298136647, ""mode"": 0.0, ""stddev"": 8634.718487317996, ""notnull"": 3220.0, ""max"": 276946.0, ""min"": 0.0, ""median"": 32.0}}"
-6768,,,us.census.acs.B01001D012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,asian_male_45_54_quantile,
-6769,,,us.census.acs.B01001D013_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,asian_male_55_64_quantile,
-6770,,,us.census.acs.B23008010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,father_in_labor_force_one_parent_families_with_young_children_quantile,
-6771,,,us.census.acs.B12005001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_15_and_over_quantile,
-6772,,,us.census.acs.B12005002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_never_married_quantile,
-6773,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_now_married_quantile,
-6774,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_separated_quantile,
-6775,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_widowed_quantile,
-6776,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,pop_divorced_quantile,
-6777,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commuters_16_over_quantile,
-6778,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_less_10_mins_quantile,
-6779,,,us.census.acs.B01003001_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,total_pop_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999947902496628, ""mode"": 0.014600807704256, ""stddev"": 0.28876855446218735, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6780,,,us.census.acs.B01001002_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,male_pop_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49998620380929226, ""mode"": 0.00714507611059335, ""stddev"": 0.28877420762725053, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6781,,,us.census.acs.B01001026_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,female_pop_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49998726505473134, ""mode"": 0.0295122708915812, ""stddev"": 0.2887732654943097, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6782,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_35_44_mins_quantile,
-6783,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,commute_60_more_mins_quantile,
-6784,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,aggregate_travel_time_to_work_quantile,
-6785,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_less_10000_quantile,
-6786,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_10000_14999_quantile,
-6787,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_15000_19999_quantile,
-6788,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_20000_24999_quantile,
-6789,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_25000_29999_quantile,
-6790,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_30000_34999_quantile,
-6791,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_35000_39999_quantile,
-6792,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_40000_44999_quantile,
-6793,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_45000_49999_quantile,
-6794,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_50000_59999_quantile,
-6795,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_60000_74999_quantile,
-6796,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_75000_99999_quantile,
-6797,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_100000_124999_quantile,
-6798,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_125000_149999_quantile,
-6799,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_150000_199999_quantile,
-6800,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_block_group_5yr_2014_371cb0f0d8,income_200000_or_more_quantile,
-6801,,,us.census.tiger.county_geoid,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,geoid,
-6802,,,us.census.tiger.county_geoid,us.census.acs.extract_county_5yr_2014_e045f8e78c,geoid,
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-6806,,,us.census.acs.B01001I013,us.census.acs.extract_county_5yr_2014_e045f8e78c,hispanic_male_55_64,"{""stats"": {""count"": 3220.0, ""avg"": 606.3248447204969, ""mode"": 0.0, ""stddev"": 4273.301981842177, ""notnull"": 3220.0, ""max"": 172935.0, ""min"": 0.0, ""median"": 29.0}}"
-6807,,,us.census.acs.B01001H012,us.census.acs.extract_county_5yr_2014_e045f8e78c,white_male_45_54,"{""stats"": {""count"": 3220.0, ""avg"": 4606.019875776397, ""mode"": 0.0, ""stddev"": 10996.9145297, ""notnull"": 3220.0, ""max"": 224233.0, ""min"": 0.0, ""median"": 1419.0}}"
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-6809,,,us.census.acs.B15003019_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,less_one_year_college_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998616521854903, ""mode"": 0.231127679403541, ""stddev"": 0.28886339571695707, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-6810,,,us.census.acs.B15003020_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,one_year_more_college_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999303437084546, ""mode"": 0.132339235787512, ""stddev"": 0.28881641679050174, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6811,,,us.census.acs.B15003021_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,associates_degree_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49988673616859525, ""mode"": 0.0785958372165269, ""stddev"": 0.2888488875077908, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258466}}"
-6812,,,us.census.acs.B15003022_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,bachelors_degree_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49991828410119266, ""mode"": 0.0956818887853371, ""stddev"": 0.28882933026078655, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-6813,,,us.census.acs.B15003023_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,masters_degree_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4997934430468164, ""mode"": 0.105001553277415, ""stddev"": 0.288935068200495, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6814,,,us.census.acs.B12005005_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,pop_now_married_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999877474390218, ""mode"": 0.131717924821373, ""stddev"": 0.2887746600011126, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6815,,,us.census.acs.B12005008_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,pop_separated_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4996047343123805, ""mode"": 0.0, ""stddev"": 0.28908864964254966, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-6816,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,pop_widowed_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998904022892029, ""mode"": 0.192606399502951, ""stddev"": 0.28883445611787295, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-6817,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,pop_divorced_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999320802919004, ""mode"": 0.210935073004039, ""stddev"": 0.2888110949991363, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6818,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commuters_16_over_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49998514256385324, ""mode"": 0.00745573159366263, ""stddev"": 0.2887758962911096, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
-6819,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commute_less_10_mins_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.499923686805246, ""mode"": 0.0841876359117738, ""stddev"": 0.288815764041849, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
-6820,,,us.census.tiger.puma,us.census.tiger.sum_level_puma_2014_09d4166960,the_geom,
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+2827,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_20_24_mins_quantile,
+2828,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_25_29_mins_quantile,
+2829,,,us.census.acs.B08303008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_30_34_mins_quantile,
+2830,,,us.census.acs.B08134008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_35_44_mins_quantile,
+2831,,,us.census.acs.B08303011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_45_59_mins_quantile,
+2832,,,us.census.acs.B08134010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_60_more_mins_quantile,
+2833,,,us.census.acs.B08135001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,aggregate_travel_time_to_work_quantile,
+2834,,,us.census.acs.B19001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_less_10000_quantile,
+2835,,,us.census.acs.B19001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_10000_14999_quantile,
+2836,,,us.census.acs.B19001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_15000_19999_quantile,
+2837,,,us.census.acs.B19001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_20000_24999_quantile,
+2838,,,us.census.acs.B19001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_25000_29999_quantile,
+2839,,,us.census.acs.B19001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_30000_34999_quantile,
+2840,,,us.census.acs.B19001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_35000_39999_quantile,
+2841,,,us.census.acs.B19001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_40000_44999_quantile,
+2842,,,us.census.acs.B19001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_45000_49999_quantile,
+2843,,,us.census.acs.B19001011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_50000_59999_quantile,
+2844,,,us.census.acs.B19001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_60000_74999_quantile,
+2845,,,us.census.acs.B19001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_75000_99999_quantile,
+2846,,,us.census.acs.B19001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_100000_124999_quantile,
+2847,,,us.census.acs.B19001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_125000_149999_quantile,
+2848,,,us.census.acs.B19001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_150000_199999_quantile,
+2849,,,us.census.acs.B19001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,income_200000_or_more_quantile,
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+2851,,,us.census.acs.B25076001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,owner_occupied_housing_units_lower_value_quartile_quantile,
+2852,,,us.census.acs.B25077001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,owner_occupied_housing_units_median_value_quantile,
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+2854,,,us.census.acs.B07009002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,less_than_high_school_graduate_quantile,
+2855,,,us.census.acs.B07009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,high_school_including_ged_quantile,
+2856,,,us.census.acs.B07009004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,some_college_and_associates_degree_quantile,
+2857,,,us.census.acs.B07009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,bachelors_degree_2_quantile,
+2858,,,us.census.acs.B07009006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,graduate_professional_degree_quantile,
+2859,,,us.census.acs.B09005005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,children_in_single_female_hh_quantile,
+2860,,,us.census.acs.B11001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,married_households_quantile,
+2861,,,us.census.acs.B11009003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_male_households_quantile,
+2862,,,us.census.acs.B11009005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_female_households_quantile,
+2863,,,us.census.acs.B25003001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupied_housing_units_quantile,
+2864,,,us.census.acs.B16001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,speak_spanish_at_home_low_english_quantile,
+2865,,,us.census.acs.B25003003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_units_renter_occupied_quantile,
+2866,,,us.census.acs.B25024002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_1_units_detached_quantile,
+2867,,,us.census.acs.B25024003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_1_units_attached_quantile,
+2868,,,us.census.acs.B25024004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_2_units_quantile,
+2869,,,us.census.acs.B25024005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_3_to_4_units_quantile,
+2870,,,us.census.acs.B25024006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_5_to_9_units_quantile,
+2871,,,us.census.acs.B25024007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_10_to_19_units_quantile,
+2872,,,us.census.acs.B25024008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_20_to_49_units_quantile,
+2873,,,us.census.acs.B25024009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,dwellings_50_or_more_units_quantile,
+2874,,,us.census.acs.B25024010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,mobile_homes_quantile,
+2875,,,us.census.acs.B25034002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_built_2005_or_later_quantile,
+2876,,,us.census.acs.B25034003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_built_2000_to_2004_quantile,
+2877,,,us.census.acs.B25034010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,housing_built_1939_or_earlier_quantile,
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+2879,,,us.census.acs.C24050003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_construction_quantile,
+2880,,,us.census.acs.C24050004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_manufacturing_quantile,
+2881,,,us.census.acs.C24050005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_wholesale_trade_quantile,
+2882,,,us.census.acs.C24050006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_retail_trade_quantile,
+2883,,,us.census.acs.C24050007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_transportation_warehousing_utilities_quantile,
+2884,,,us.census.acs.C24050008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_information_quantile,
+2885,,,us.census.acs.C24050009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_finance_insurance_real_estate_quantile,
+2886,,,us.census.acs.C24050010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_science_management_admin_waste_quantile,
+2887,,,us.census.acs.C24050011_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_education_health_social_quantile,
+2888,,,us.census.acs.C24050012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_arts_entertainment_recreation_accommodation_food_quantile,
+2889,,,us.census.acs.C24050013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_other_services_not_public_admin_quantile,
+2890,,,us.census.acs.C24050014_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,employed_public_administration_quantile,
+2891,,,us.census.acs.C24050015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_management_arts_quantile,
+2892,,,us.census.acs.C24050029_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_services_quantile,
+2893,,,us.census.acs.C24050043_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_sales_office_quantile,
+2894,,,us.census.acs.C24050057_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_natural_resources_construction_maintenance_quantile,
+2895,,,us.census.acs.C24050071_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,occupation_production_transportation_material_quantile,
+2896,,,us.census.acs.B01001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_under_5_quantile,
+2897,,,us.census.acs.B01001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_10_to_14_quantile,
+2898,,,us.census.acs.B01001006_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_15_to_17_quantile,
+2899,,,us.census.acs.B01001007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_18_to_19_quantile,
+2900,,,us.census.acs.B01001008_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_20_quantile,
+2901,,,us.census.acs.B01001009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_21_quantile,
+2902,,,us.census.acs.B01001010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_22_to_24_quantile,
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+2904,,,us.census.acs.B01001012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_30_to_34_quantile,
+2905,,,us.census.acs.B01001013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_35_to_39_quantile,
+2906,,,us.census.acs.B01001014_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_40_to_44_quantile,
+2907,,,us.census.acs.B15001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_to_64_quantile,
+2908,,,us.census.acs.B01001015_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_45_to_49_quantile,
+2909,,,us.census.acs.B01001016_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_50_to_54_quantile,
+2910,,,us.census.acs.B01001017_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_55_to_59_quantile,
+2911,,,us.census.acs.B01001018_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_60_61_quantile,
+2912,,,us.census.acs.B01001019_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_62_64_quantile,
+2913,,,us.census.acs.B01001020_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_65_to_66_quantile,
+2914,,,us.census.acs.B01001021_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_67_to_69_quantile,
+2915,,,us.census.acs.B01001022_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_70_to_74_quantile,
+2916,,,us.census.acs.B01001023_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_75_to_79_quantile,
+2917,,,us.census.acs.B01001024_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_80_to_84_quantile,
+2918,,,us.census.acs.B01001025_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,male_85_and_over_quantile,
+2919,,,us.census.acs.B01001027_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_under_5_quantile,
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+2921,,,us.census.acs.B01001029_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_10_to_14_quantile,
+2922,,,us.census.acs.B01001030_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_15_to_17_quantile,
+2923,,,us.census.acs.B01001031_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_18_to_19_quantile,
+2924,,,us.census.acs.B01001032_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_20_quantile,
+2925,,,us.census.acs.B01001033_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_21_quantile,
+2926,,,us.census.acs.B01001034_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_22_to_24_quantile,
+2927,,,us.census.acs.B01001035_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_25_to_29_quantile,
+2928,,,us.census.acs.B01001036_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_30_to_34_quantile,
+2929,,,us.census.acs.B01001037_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_35_to_39_quantile,
+2930,,,us.census.acs.B01001038_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_40_to_44_quantile,
+2931,,,us.census.acs.B01001039_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_45_to_49_quantile,
+2932,,,us.census.acs.B01001040_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_50_to_54_quantile,
+2933,,,us.census.acs.B01001041_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_55_to_59_quantile,
+2934,,,us.census.acs.B01001042_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_60_to_61_quantile,
+2935,,,us.census.acs.B01001043_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_62_to_64_quantile,
+2936,,,us.census.acs.B01001044_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_65_to_66_quantile,
+2937,,,us.census.acs.B01001045_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_67_to_69_quantile,
+2938,,,us.census.acs.B01001046_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_70_to_74_quantile,
+2939,,,us.census.acs.B01001047_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_75_to_79_quantile,
+2940,,,us.census.acs.B01001048_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_80_to_84_quantile,
+2941,,,us.census.acs.B01001049_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,female_85_and_over_quantile,
+2942,,,us.census.acs.B02001002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,white_including_hispanic_quantile,
+2943,,,us.census.acs.B02001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,black_including_hispanic_quantile,
+2944,,,us.census.acs.B02001004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,amerindian_including_hispanic_quantile,
+2945,,,us.census.acs.B02001005_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,asian_including_hispanic_quantile,
+2946,,,us.census.acs.B03001003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,hispanic_any_race_quantile,
+2947,,,us.census.acs.B08303003_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_5_9_mins_quantile,
+2948,,,us.census.acs.B08303009_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_35_39_mins_quantile,
+2949,,,us.census.acs.B08303010_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_40_44_mins_quantile,
+2950,,,us.census.acs.B08303012_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_60_89_mins_quantile,
+2951,,,us.census.acs.B08303013_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,commute_90_more_mins_quantile,
+2952,,,us.census.acs.B19058002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,households_public_asst_or_food_stamps_quantile,
+2953,,,us.census.acs.B19059002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,households_retirement_income_quantile,
+2954,,,us.census.acs.B07204001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,population_1_year_and_over_quantile,
+2955,,,us.census.acs.B07204004_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,different_house_year_ago_same_city_quantile,
+2956,,,us.census.acs.B07204007_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,different_house_year_ago_different_city_quantile,
+2957,,,us.census.acs.B26001001_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,group_quarters_quantile,
+2958,,,us.census.acs.B08014002_quantile,us.census.acs.quantiles_school_district_5yr_2011_78f853e350,no_car_quantile,
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+4184,,,us.census.acs.B01001030,us.census.acs.extract_school_district_5yr_2014_4e4488529e,female_15_to_17,"{""stats"": {""count"": 10923.0, ""avg"": 571.2645793280234, ""mode"": 0.0, ""stddev"": 3396.656031053985, ""notnull"": 10923.0, ""max"": 229522.0, ""min"": 0.0, ""median"": 166.0}}"
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+6961,,,us.census.acs.B12005012_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,pop_widowed_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4998904022892029, ""mode"": 0.192606399502951, ""stddev"": 0.28883445611787295, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
+6962,,,us.census.acs.B12005015_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,pop_divorced_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.4999320802919004, ""mode"": 0.210935073004039, ""stddev"": 0.2888110949991363, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
+6963,,,us.census.acs.B08134001_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commuters_16_over_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49998514256385324, ""mode"": 0.00745573159366263, ""stddev"": 0.2887758962911096, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
+6964,,,us.census.acs.B08134002_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commute_less_10_mins_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.499923686805246, ""mode"": 0.0841876359117738, ""stddev"": 0.288815764041849, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
+6965,,,us.census.tiger.puma,us.census.tiger.sum_level_puma_2014_09d4166960,the_geom,
+6966,,,us.census.tiger.aland,us.census.tiger.sum_level_puma_2014_09d4166960,aland,
+6967,,,us.census.tiger.awater,us.census.tiger.sum_level_puma_2014_09d4166960,awater,
+6968,,,us.census.acs.B08303004_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commute_10_14_mins_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49989512965524957, ""mode"": 0.0223671947809879, ""stddev"": 0.28885043794745396, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258466}}"
+6969,,,us.census.acs.B08303005_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commute_15_19_mins_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49987689552906944, ""mode"": 0.130785958372165, ""stddev"": 0.2888704397225506, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.5}}"
+6970,,,us.census.acs.B08303006_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commute_20_24_mins_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49986194161606456, ""mode"": 0.228021124572849, ""stddev"": 0.2888800842854803, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
+6971,,,us.census.acs.B08303007_quantile,us.census.acs.quantiles_county_5yr_2014_e045f8e78c,commute_25_29_mins_quantile,"{""stats"": {""count"": 3220.0, ""avg"": 0.49964197437960556, ""mode"": 0.0, ""stddev"": 0.2890867678435921, ""notnull"": 3220.0, ""max"": 1.0, ""min"": 0.0, ""median"": 0.499844672258465}}"
 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -7022,92 +7167,102 @@ cartodb_id,the_geom,the_geom_webmercator,column_id,table_id,colname,extra
 
 COPY "obs_column" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,id,type,name,description,weight,aggregate,version,extra
-23,,,whosonfirst.wof_continent_id,Numeric,Who's on First ID,,0,,3,
-68,,,us.census.acs.B25075001_quantile,Numeric,Quantile:Owner-occupied Housing Units,,1,quantile,4,
-180,,,us.census.acs.B01001023_quantile,Numeric,Quantile:Male age 75 to 79,,1,quantile,4,
-251,,,us.census.tiger.place_clipped,Geometry,Shoreline clipped Incorporated Places,A cartography-ready version of Incorporated Places,0,,7,
-431,,,us.census.acs.C24050015,Numeric,Workers employed in management business science and arts occupations,,0,sum,9,
-505,,,us.census.tiger.cbsa_geoid,Text,Core Based Statistical Area (CBSA) Geoids,,0,,6,
-542,,,us.census.lodes.jobs_22_utilities,Integer,Utilities Jobs,Number of jobs in NAICS sector 22 (Utilities) ,4,sum,1,
-1,,,us.census.acs.B01003001_quantile,Numeric,Quantile:Total Population,The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.,1,quantile,4,
-2,,,us.census.acs.B01002001_quantile,Numeric,Quantile:Median Age,The median age of all people in a given geographic area.,1,quantile,4,
-3,,,us.census.acs.B03002003_quantile,Numeric,Quantile:White Population,"The number of people identifying as white, non-Hispanic in each geography.",1,quantile,4,
-4,,,us.census.acs.B03002004_quantile,Numeric,Quantile:Black or African American Population,"The number of people identifying as black or African American, non-Hispanic in each geography.",1,quantile,4,
-5,,,us.census.acs.B03002006_quantile,Numeric,Quantile:Asian Population,"The number of people identifying as Asian, non-Hispanic in each geography.",1,quantile,4,
-6,,,us.census.acs.B03002012_quantile,Numeric,Quantile:Hispanic Population,The number of people identifying as Hispanic or Latino in each geography.,1,quantile,4,
-7,,,us.census.acs.B03002005_quantile,Numeric,Quantile:American Indian and Alaska Native Population,The number of people identifying as American Indian or Alaska native in each geography.,1,quantile,4,
-8,,,us.census.spielman_singleton_segments.X10,Text,Spielman-Singleton Segments: 10 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters",4,,10,"{""categories"": {""Hispanic and Young"": {""description"": ""Predominantly Hispanic, tends to have at most high school education, lots of married couples and single mothers, high mobility within cities, typically takes public transit and tends to rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Average"", ""Black"": ""Low"", ""Asian"": ""Low"", ""White"": ""Low"", ""Hispanic Latino"": ""High""}, ""Language"": {""Speaks english only"": ""Low"", ""Speaks Spanish Low English"": ""High"", ""Speaks Spanish"": ""High""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Average"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""High"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Average"", ""Vacancy"": ""Low"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Average"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Low"", ""5-9 Units"": ""High"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""Low"", ""Housing Upper Value Quantile"": ""Low""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Average"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Avarage"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Average"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""Average"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Wealthy Nuclear Families"": {""description"": ""Highly educated, high levels of bachelor or grad degrees, married couples and some same sex couples, tends to stay put, white or asian, high income, tends to own a car and lives in single family homes with high rents."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Low"", ""Asian"": ""High"", ""White"": ""Average"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Average"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""Low"", ""Female-Female Couples"": ""Average"", ""Married Couples"": ""High"", ""Male-Male Couples"": ""Average""}, ""Housing"": {""Single Family Detached"": ""High"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""High"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""Low"", ""Housing median value"": ""High"", ""Renter Occupied"": ""Low"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""Low"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""High"", ""Median rent"": ""High"", ""Housing lower value quantile"": ""High"", ""50  Units"": ""Low"", ""5-9 Units"": ""Low"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""High"", ""Housing Upper Value Quantile"": ""Low""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Average"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""High"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""Low"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Low"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""Average"", ""Commute 35-39 mins"": ""High""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""Low"", ""Retirement Income"": ""Average"", ""Income Gini"": ""Average""}}}, ""Middle Income, Single Family Home"": {""description"": ""High school and some college education, mix of single parents and married couples, tends to stay put and only moves within cities, English speaking, white, good retirement funds, owns their own car, lives in lower rent homes of mobile homes."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Low"", ""Asian"": ""Low"", ""White"": ""High"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""High"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""Average"", ""Female-Female Couples"": ""Average"", ""Married Couples"": ""Average"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""Low"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""High"", ""Vacancy"": ""Average"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Low"", ""5-9 Units"": ""Low"", ""Built earlier than 1939"": ""Average"", ""Built 2000-2004"": ""Low"", ""Housing Upper Value Quantile"": ""Low""}, ""Education"": {""Less than highschool"": ""Average"", ""Some College / Assc degree"": ""Average"", ""High School"": ""High"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Average"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""Low"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Average"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""Average"", ""Retirement Income"": ""High"", ""Income Gini"": ""Average""}}}, ""Native American"": {""description"": ""Native Amerian, high school educated with some college, commutes for work, single parent families, typical doesn't own a car and lives in low cost rental housing."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""High"", ""Black"": ""Low"", ""Asian"": ""Low"", ""White"": ""Low"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""Low"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""High"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Low"", ""5-9 Units"": ""Low"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""Low"", ""Housing Upper Value Quantile"": ""Average""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Average"", ""High School"": ""High"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Low"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Low"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Wealthy, urban without Kids"": {""description"": ""Typically has an advanced degree, single parents or same sex couples, highly mobile, White, Black or Asian, doesn't own a car and lives in high rental housing."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Low"", ""Black"": ""Average"", ""Asian"": ""High"", ""White"": ""Average"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Average""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""High"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""High""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""High"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""High"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""Average"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""High"", ""Median rent"": ""High"", ""Housing lower value quantile"": ""High"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Average"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""Average"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Average"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""High""}, ""Wealth"": {""Public Assistance"": ""Low"", ""Retirement Income"": ""Low"", ""Income Gini"": ""High""}}}, ""Low income and diverse"": {""description"": ""High school education, single parent families, mobile within cities, multilingual, Black or Asian, typically doesn't own a car, uses public transit, high median rent. "", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Low"", ""Black"": ""High"", ""Asian"": ""High"", ""White"": ""Low"", ""Hispanic Latino"": ""High""}, ""Language"": {""Speaks english only"": ""Low"", ""Speaks Spanish Low English"": ""High"", ""Speaks Spanish"": ""High""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""Average"", ""Built 2005 or later"": ""Average"", ""Median rent"": ""Average"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Average"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Average"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""Low"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Wealthy Old Caucasion"": {""description"": ""Highly educated, married couples and same sex couples, tend to stay put, English speaking, White or Asian, high income and high rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Low"", ""Asian"": ""Average"", ""White"": ""High"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""High"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""Low"", ""Female-Female Couples"": ""Average"", ""Married Couples"": ""Average"", ""Male-Male Couples"": ""High""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""Average"", ""Housing upper value quantile"": ""High"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""High"", ""Renter Occupied"": ""Low"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""Average"", ""Median rent"": ""High"", ""Housing lower value quantile"": ""High"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""High"", ""5-9 Units"": ""Average""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Average"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""Average"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Average"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""Average"", ""Commute 45-59 mins"": ""Average"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Average"", ""Commute 40-44 mins"": ""Average"", ""Commute 90  mins"": ""Average"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""Low"", ""Retirement Income"": ""High"", ""Income Gini"": ""Average""}}}, ""Low income, mix of minorities"": {""description"": ""Highschool education, single parent familes, mobile within cities, diverse minorities, uses public transit and low rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Low"", ""Black"": ""High"", ""Asian"": ""High"", ""White"": ""Low"", ""Hispanic Latino"": ""High""}, ""Language"": {""Speaks english only"": ""Low"", ""Speaks Spanish Low English"": ""High"", ""Speaks Spanish"": ""High""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Average"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""Average"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Average"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""Average"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""Low"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Low income, African American"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""High"", ""Asian"": ""Low"", ""White"": ""Low"", ""Hispanic Latino"": ""Low""}, ""description"": ""African American, low income, high school education, single parent famalies, mobile within cities, uses public transport."", ""Language"": {""Speaks english only"": ""High"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Average"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""Low"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Average"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Low"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""High"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""High"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""High"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Low"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""High""}}, ""Residential Institutions"": {""description"": ""Advanced education, highly mobile, White, Black or Asian, public transit, low rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Average"", ""Asian"": ""High"", ""White"": ""Average"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""High"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Average"", ""Single Family Attached"": ""Average"", ""20-49 Units"": ""High"", ""Housing median value"": ""Average"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""Average"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Average"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Low"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Average"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Low"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""High"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Low"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""High""}, ""Wealth"": {""Public Assistance"": ""Average"", ""Retirement Income"": ""Low"", ""Income Gini"": ""High""}}}}}"
-9,,,us.census.spielman_singleton_segments.X31,Text,Spielman-Singleton Segments: 31 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters",0,,10,
-10,,,us.census.spielman_singleton_segments.X2,Text,Spielman-Singleton Segments: 2 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 2 clusters",0,,10,
-11,,,whosonfirst.wof_continent_geom,Geometry,Continents,Continents of the world.,5,,3,
-12,,,us.census.acs.B03002008_quantile,Numeric,Quantile:Other Race population,The number of people identifying as another race in each geography,1,quantile,4,
-617,,,us.census.tiger.place_geoid,Text,Incorporated Places Geoids,,0,,6,
-13,,,us.census.acs.B03002009_quantile,Numeric,Quantile:Two or more races population,The number of people identifying as two or more races in each geography,1,quantile,4,
-14,,,us.census.acs.B03002002_quantile,Numeric,Quantile:Population not Hispanic,The number of people not identifying as Hispanic or Latino in each geography.,1,quantile,4,
-15,,,us.census.acs.B05001006_quantile,Numeric,Quantile:Not a U.S. Citizen Population,The number of people within each geography who indicated that they are not U.S. citizens.,1,quantile,4,
-16,,,us.census.acs.B08006001_quantile,Numeric,Quantile:Workers over the Age of 16,"The number of people in each geography who work. Workers include those employed at private for-profit companies, the self-employed, government workers and non-profit employees.",1,quantile,4,
-17,,,us.census.acs.B08006002_quantile,Numeric,"Quantile:Commuters by Car, Truck, or Van","The number of workers age 16 years and over within  a geographic area who primarily traveled to work by car, truck or  van.  This is the principal mode of travel or type of conveyance,  by distance rather than time, that the worker usually used to get  from home to work.",1,quantile,4,
-18,,,us.census.acs.B08006003_quantile,Numeric,Quantile:Commuters who drove alone,"The number of workers age 16 years and over within a geographic area who primarily traveled by car driving alone. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",1,quantile,4,
-19,,,us.census.acs.B08006004_quantile,Numeric,Quantile:Commuters by Carpool,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by carpool.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",1,quantile,4,
-20,,,us.census.acs.B08301010_quantile,Numeric,Quantile:Commuters by Public Transportation,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",1,quantile,4,
-21,,,us.census.acs.B08006009_quantile,Numeric,Quantile:Commuters by Bus,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by bus.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",1,quantile,4,
-22,,,es.ine.the_geom,Geometry,Sección Censal,The smallest division of the Spanish Census.,10,,4,
-24,,,whosonfirst.wof_continent_name,Text,,,0,,3,
-25,,,whosonfirst.wof_country_geom,Geometry,Countries, ,5,,3,
-26,,,whosonfirst.wof_country_id,Numeric,Who's on First ID,,0,,3,
-27,,,whosonfirst.wof_country_name,Text,,,0,,3,
-28,,,whosonfirst.wof_marinearea_geom,Geometry,Marine Areas, ,5,,3,
-29,,,whosonfirst.wof_marinearea_id,Numeric,Who's on First ID,,0,,3,
-30,,,whosonfirst.wof_marinearea_name,Text,,,0,,3,
-31,,,whosonfirst.wof_region_geom,Geometry,Regions (First-level Administrative), ,5,,3,
-32,,,whosonfirst.wof_region_id,Numeric,Who's on First ID,,0,,3,
-33,,,whosonfirst.wof_region_name,Text,,,0,,3,
-34,,,us.census.acs.B08006011_quantile,Numeric,Quantile:Commuters by Subway or Elevated,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by subway or elevated train.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",1,quantile,4,
-35,,,us.census.acs.B08006015_quantile,Numeric,Quantile:Walked to Work,"The number of workers age 16 years and over within a geographic area who primarily walked to work.  This would mean that of any way of getting to work, they travelled the most distance walking.",1,quantile,4,
-36,,,us.census.acs.B08006017_quantile,Numeric,Quantile:Worked at Home,The count within a geographical area of workers over the age of 16 who worked at home.,1,quantile,4,
-37,,,us.census.acs.B11001001_quantile,Numeric,Quantile:Households,"A count of the number of households in each geography. A household consists of one or more people who live in the same dwelling and also share at meals or living accommodation, and may consist of a single family or some other grouping of people. ",1,quantile,4,
-38,,,us.census.acs.B14001001_quantile,Numeric,Quantile:Population 3 Years and Over,The total number of people in each geography age 3 years and over.  This denominator is mostly used to calculate rates of school enrollment.,1,quantile,4,
-39,,,us.census.acs.B14001002_quantile,Numeric,Quantile:Students Enrolled in School,"The total number of people in each geography currently enrolled at any level of school, from nursery or pre-school to advanced post-graduate education.  Only includes those over the age of 3.",1,quantile,4,
-40,,,us.census.acs.B14001005_quantile,Numeric,Quantile:Students Enrolled in Grades 1 to 4,The total number of people in each geography currently enrolled in grades 1 through 4 inclusive.  This corresponds roughly to elementary school.,1,quantile,4,
-41,,,us.census.acs.B14001006_quantile,Numeric,Quantile:Students Enrolled in Grades 5 to 8,The total number of people in each geography currently enrolled in grades 5 through 8 inclusive.  This corresponds roughly to middle school.,1,quantile,4,
-42,,,us.census.acs.B14001007_quantile,Numeric,Quantile:Students Enrolled in Grades 9 to 12,The total number of people in each geography currently enrolled in grades 9 through 12 inclusive.  This corresponds roughly to high school.,1,quantile,4,
-43,,,us.census.acs.B14001008_quantile,Numeric,Quantile:Students Enrolled as Undergraduate in College,"The number of people in a geographic area who are enrolled in college at the undergraduate level. Enrollment refers to being registered or listed as a student in an educational program leading to a college degree. This may be a public school or college, a private school or college.",1,quantile,4,
-44,,,us.census.acs.B15003001_quantile,Numeric,Quantile:Population 25 Years and Over,The number of people in a geographic area who are over the age of 25.  This is used mostly as a denominator of educational attainment.,1,quantile,4,
-145,,,us.census.acs.C24050004_quantile,Numeric,Quantile:Workers employed in firms in manufacturing,,1,quantile,4,
-45,,,us.census.acs.B15003017_quantile,Numeric,Quantile:Population Completed High School,"The number of people in a geographic area over the age of 25 who completed high school, and did not complete a more advanced degree.",1,quantile,4,
-46,,,us.census.acs.B15003019_quantile,Numeric,"Quantile:Population completed less than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for less than one year and no further.,1,quantile,4,
-47,,,us.census.acs.B15003020_quantile,Numeric,"Quantile:Population completed more than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for more than one year but did not obtain a degree,1,quantile,4,
-48,,,us.census.acs.B15003021_quantile,Numeric,Quantile:Population Completed Associate's Degree,"The number of people in a geographic area over the age of 25 who obtained a associate's degree, and did not complete a more advanced degree.",1,quantile,4,
-49,,,us.census.acs.B15003022_quantile,Numeric,Quantile:Population Completed Bachelor's Degree,"The number of people in a geographic area over the age of 25 who obtained a bachelor's degree, and did not complete a more advanced degree.",1,quantile,4,
-50,,,us.census.acs.B15003023_quantile,Numeric,Quantile:Population Completed Master's Degree,"The number of people in a geographic area over the age of 25 who obtained a master's degree, but did not complete a more advanced degree.",1,quantile,4,
-51,,,us.census.acs.B16001001_quantile,Numeric,Quantile:Population 5 Years and Over,The number of people in a geographic area who are over the age of 5.  This is primarily used as a denominator of measures of language spoken at home.,1,quantile,4,
-52,,,us.census.acs.B16001003_quantile,Numeric,Quantile:Speaks Spanish at Home,"The number of people in a geographic area over age 5 who speak Spanish at home, possibly in addition to other languages.",1,quantile,4,
-53,,,us.census.acs.B17001001_quantile,Numeric,Quantile:Population for Whom Poverty Status Determined,"The number of people in each geography who could be identified as either living in poverty or not.  This should be used as the denominator when calculating poverty rates, as it excludes people for whom it was not possible to determine poverty.",1,quantile,4,
-54,,,us.census.acs.B17001002_quantile,Numeric,Quantile:Income In The Past 12 Months Below Poverty Level,"The number of people in a geographic area who are part of a family (which could be just them as an individual) determined to be ""in poverty"" following the Office of Management and Budget's Directive 14. (https://www.census.gov/hhes/povmeas/methodology/ombdir14.html)",1,quantile,4,
-55,,,es.ine.gender,Text,Gender,,0,,1,
-56,,,whosonfirst.wof_disputed_geom,Geometry,Disputed Areas, ,5,,3,
-57,,,whosonfirst.wof_disputed_id,Numeric,Who's on First ID,,0,,3,
-58,,,whosonfirst.wof_disputed_name,Text,,,0,,3,
-59,,,us.census.acs.B19013001_quantile,Numeric,Quantile:Median Household Income in the past 12 Months,"Within a geographic area, the median income received by every household on a regular basis before payments for personal income taxes, social security, union dues, medicare deductions, etc.  It includes income received from wages, salary, commissions, bonuses, and tips; self-employment income from own nonfarm or farm businesses, including proprietorships and partnerships; interest, dividends, net rental income, royalty income, or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); any cash public assistance or welfare payments from the state or local welfare office; retirement, survivor, or disability benefits; and any other sources of income received regularly such as Veterans' (VA) payments, unemployment and/or worker's compensation, child support, and alimony.",1,quantile,4,
-60,,,us.census.acs.B19083001_quantile,Numeric,Quantile:Gini Index,,1,quantile,4,
-61,,,us.census.acs.B19301001_quantile,Numeric,Quantile:Per Capita Income in the past 12 Months,,1,quantile,4,
-62,,,us.census.acs.B25001001_quantile,Numeric,Quantile:Housing Units,"A count of housing units in each geography.  A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters.",1,quantile,4,
-92,,,us.census.acs.B15001034_quantile,Numeric,Quantile:Men age 45 to 64 who obtained a graduate or professional degree,,1,quantile,4,
-63,,,us.census.acs.B25002003_quantile,Numeric,Quantile:Vacant Housing Units,"The count of vacant housing units in a geographic area. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",1,quantile,4,
-64,,,us.census.acs.B25004002_quantile,Numeric,Quantile:Vacant Housing Units for Rent,"The count of vacant housing units in a geographic area that are for rent. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",1,quantile,4,
-65,,,us.census.acs.B25004004_quantile,Numeric,Quantile:Vacant Housing Units for Sale,"The count of vacant housing units in a geographic area that are for sale. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",1,quantile,4,
-66,,,us.census.acs.B25058001_quantile,Numeric,Quantile:Median Rent,"The median contract rent within a geographic area. The contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent asked for the rental unit at the time of interview.",1,quantile,4,
-67,,,us.census.acs.B25071001_quantile,Numeric,Quantile:Percent of Household Income Spent on Rent,"Within a geographic area, the median percentage of household income which was spent on gross rent.  Gross rent is the amount of the contract rent plus the estimated average monthly cost of utilities (electricity, gas, water, sewer etc.) and fuels (oil, coal, wood, etc.) if these are paid by the renter.  Household income is the sum of the income of all people 15 years and older living in the household.",1,quantile,4,
-146,,,us.census.acs.C24050005_quantile,Numeric,Quantile:Workers employed in firms in wholesale trade,,1,quantile,4,
-69,,,us.census.acs.B25075025_quantile,Numeric,"Quantile:Owner-occupied Housing Units valued at $1,000,000 or more.","The count of owner occupied housing units in a geographic area that are valued at $1,000,000 or more.  Value is the respondent's estimate of how much the property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale.",1,quantile,4,
-70,,,us.census.acs.B25081002_quantile,Numeric,Quantile:Owner-occupied Housing Units with a Mortgage,"The count of housing units within a geographic area that are mortagaged. ""Mortgage"" refers to all forms of debt where the property is pledged as security for repayment of the debt, including deeds of trust, trust deed, contracts to purchase, land contracts, junior mortgages, and home equity loans.",1,quantile,4,
-71,,,us.census.acs.B23008004_quantile,Numeric,"Quantile:Two-parent families, both parents in labor force with young children (under 6 years of age)",,1,quantile,4,
-72,,,us.census.acs.B23008005_quantile,Numeric,"Quantile:Two-parent families, father only in labor force with young children (under 6 years of age)",,1,quantile,4,
-73,,,us.census.acs.B23008006_quantile,Numeric,"Quantile:Two-parent families, mother only in labor force with young children (under 6 years of age)",,1,quantile,4,
-74,,,us.census.acs.B23008007_quantile,Numeric,"Quantile:Two-parent families, neither parent in labor force with young children (under 6 years of age)",,1,quantile,4,
-75,,,us.census.acs.B23008008_quantile,Numeric,Quantile:One-parent families with young children (under 6 years of age),,1,quantile,4,
-76,,,us.census.acs.B23008009_quantile,Numeric,"Quantile:One-parent families, father, with young children (under 6 years of age)",,1,quantile,4,
-77,,,us.census.acs.B23025005_quantile,Numeric,Quantile:Unemployed Population,"The number of civilians in each geography who are 16 years old and over are classified as unemployed if they (1) were neither ""at work"" nor ""with a job but not at work"" during the reference week, and (2) were actively looking for work during the last 4 weeks, and (3) were available to start a job. Also included as unemployed are civilians who did not work at all during the reference week, were waiting to be called back to a job from which they had been laid off, and were available for work except for temporary illness. Examples of job seeking activities are:
+4,,,es.ine.t2_1,Numeric,Males,,5,sum,0,
+254,,,es.ine.t10_3,Numeric,Persons with marital status: separated,,5,sum,0,
+446,,,us.census.acs.B01001B012,Numeric,Black Men age 45 to 54,,0,sum,10,
+1,,,es.ine.t1_1,Numeric,Total population,,5,sum,0,
+2,,,es.ine.t12_5,Numeric,Persons with third level studies,,5,sum,0,
+3,,,es.ine.t14_10,Numeric,Persons with a foreign nationality and with third level studies,,5,sum,0,
+5,,,es.ine.t13_11,Numeric,Males without information regarding their educational level (under 16 years of age),,5,sum,0,
+6,,,es.ine.t2_2,Numeric,Females,,5,sum,0,
+7,,,es.ine.t13_12,Numeric,Females without information regarding their educational level  (under 16 years of age),,5,sum,0,
+8,,,es.ine.t3_1,Numeric,Persons aged under 16 years,,5,sum,0,
+9,,,es.ine.t15_16,Numeric,Persons aged under 16 years (information regarding the educational level is not available),,0,sum,0,
+10,,,us.census.acs.B01003001_quantile,Numeric,Quantile:Total Population,The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.,1,quantile,4,
+11,,,us.census.acs.B01002001_quantile,Numeric,Quantile:Median Age,The median age of all people in a given geographic area.,1,quantile,4,
+12,,,us.census.acs.B03002003_quantile,Numeric,Quantile:White Population,"The number of people identifying as white, non-Hispanic in each geography.",1,quantile,4,
+13,,,us.census.acs.B03002004_quantile,Numeric,Quantile:Black or African American Population,"The number of people identifying as black or African American, non-Hispanic in each geography.",1,quantile,4,
+14,,,us.census.acs.B03002006_quantile,Numeric,Quantile:Asian Population,"The number of people identifying as Asian, non-Hispanic in each geography.",1,quantile,4,
+15,,,us.census.acs.B03002012_quantile,Numeric,Quantile:Hispanic Population,The number of people identifying as Hispanic or Latino in each geography.,1,quantile,4,
+16,,,us.census.acs.B03002005_quantile,Numeric,Quantile:American Indian and Alaska Native Population,The number of people identifying as American Indian or Alaska native in each geography.,1,quantile,4,
+17,,,es.ine.t3_2,Numeric,Persons aged between 16 (included) and 64 (included) years,,5,sum,0,
+18,,,es.ine.t15_14,Numeric,Persons aged between 16 (included) and 64 (included) years and with third level studies,,5,sum,0,
+19,,,es.ine.t3_3,Numeric,Persons aged over 64 years,,5,sum,0,
+20,,,es.ine.t15_15,Numeric,Persons aged over 64 years and with third level studies,,5,sum,0,
+21,,,es.ine.t6_1,Numeric,Persons with Spanish nationality,,5,sum,0,
+22,,,es.ine.t14_12,Numeric,Persons with a foreign nationality without information regarding their educational level (under 16 years of age),,1,sum,0,
+23,,,es.ine.t6_2,Numeric,Persons with a foreign nationality,,5,sum,0,
+24,,,es.ine.t4_1,Numeric,Persons who were born in Spain,,5,sum,0,
+25,,,es.ine.t5_2,Numeric,Persons with a foreign nationality who were born in Spain,,5,sum,0,
+26,,,es.ine.t4_2,Numeric,Persons who were born in another EU member state,,5,sum,0,
+27,,,es.ine.t5_4,Numeric,Persons with a foreign nationality who were born in another EU member state,,5,sum,0,
+28,,,es.ine.t4_3,Numeric,Persons who were born in a European country which is not a member of the EU,,5,sum,0,
+29,,,es.ine.t5_6,Numeric,Persons with a foreign nationality who were born in a European country which is not a member of the EU,,5,sum,0,
+30,,,es.ine.t4_4,Numeric,Persons who were born in Africa,,5,sum,0,
+31,,,es.ine.t5_8,Numeric,Persons with a foreign nationality who were born in Africa,,5,sum,0,
+32,,,es.ine.t4_5,Numeric,"Persons who were born in Central America, South America or the Caribbean ",,5,sum,0,
+33,,,es.ine.t5_10,Numeric,"Persons with a foreign nationality who were born in Central America, South America or the Caribbean ",,5,sum,0,
+34,,,us.census.acs.B03002008_quantile,Numeric,Quantile:Other Race population,The number of people identifying as another race in each geography,1,quantile,4,
+35,,,us.census.acs.B03002009_quantile,Numeric,Quantile:Two or more races population,The number of people identifying as two or more races in each geography,1,quantile,4,
+36,,,us.census.acs.B03002002_quantile,Numeric,Quantile:Population not Hispanic,The number of people not identifying as Hispanic or Latino in each geography.,1,quantile,4,
+37,,,us.census.acs.B05001006_quantile,Numeric,Quantile:Not a U.S. Citizen Population,The number of people within each geography who indicated that they are not U.S. citizens.,1,quantile,4,
+38,,,us.census.acs.B08006001_quantile,Numeric,Quantile:Workers over the Age of 16,"The number of people in each geography who work. Workers include those employed at private for-profit companies, the self-employed, government workers and non-profit employees.",1,quantile,4,
+39,,,us.census.acs.B08006002_quantile,Numeric,"Quantile:Commuters by Car, Truck, or Van","The number of workers age 16 years and over within  a geographic area who primarily traveled to work by car, truck or  van.  This is the principal mode of travel or type of conveyance,  by distance rather than time, that the worker usually used to get  from home to work.",1,quantile,4,
+40,,,us.census.acs.B08006003_quantile,Numeric,Quantile:Commuters who drove alone,"The number of workers age 16 years and over within a geographic area who primarily traveled by car driving alone. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",1,quantile,4,
+41,,,us.census.acs.B08006004_quantile,Numeric,Quantile:Commuters by Carpool,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by carpool.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",1,quantile,4,
+42,,,us.census.acs.B08301010_quantile,Numeric,Quantile:Commuters by Public Transportation,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",1,quantile,4,
+43,,,us.census.acs.B08006009_quantile,Numeric,Quantile:Commuters by Bus,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by bus.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",1,quantile,4,
+44,,,es.ine.t4_6,Numeric,Persons who were born in North America,,5,sum,0,
+185,,,es.ine.t8_3,Numeric,Females with Spanish nationality,,5,sum,0,
+45,,,es.ine.t5_12,Numeric,Persons with a foreign nationality who were born in North America,,5,sum,0,
+46,,,es.ine.t4_7,Numeric,Persons who were born in Asia,,5,sum,0,
+47,,,us.census.acs.B08006011_quantile,Numeric,Quantile:Commuters by Subway or Elevated,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by subway or elevated train.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",1,quantile,4,
+48,,,us.census.acs.B08006015_quantile,Numeric,Quantile:Walked to Work,"The number of workers age 16 years and over within a geographic area who primarily walked to work.  This would mean that of any way of getting to work, they travelled the most distance walking.",1,quantile,4,
+49,,,us.census.acs.B08006017_quantile,Numeric,Quantile:Worked at Home,The count within a geographical area of workers over the age of 16 who worked at home.,1,quantile,4,
+50,,,us.census.acs.B11001001_quantile,Numeric,Quantile:Households,"A count of the number of households in each geography. A household consists of one or more people who live in the same dwelling and also share at meals or living accommodation, and may consist of a single family or some other grouping of people. ",1,quantile,4,
+51,,,us.census.acs.B14001001_quantile,Numeric,Quantile:Population 3 Years and Over,The total number of people in each geography age 3 years and over.  This denominator is mostly used to calculate rates of school enrollment.,1,quantile,4,
+52,,,es.ine.t5_14,Numeric,Persons with a foreign nationality who were born in Asia,,5,sum,0,
+53,,,us.census.acs.B14001002_quantile,Numeric,Quantile:Students Enrolled in School,"The total number of people in each geography currently enrolled at any level of school, from nursery or pre-school to advanced post-graduate education.  Only includes those over the age of 3.",1,quantile,4,
+54,,,us.census.acs.B14001005_quantile,Numeric,Quantile:Students Enrolled in Grades 1 to 4,The total number of people in each geography currently enrolled in grades 1 through 4 inclusive.  This corresponds roughly to elementary school.,1,quantile,4,
+55,,,us.census.acs.B14001006_quantile,Numeric,Quantile:Students Enrolled in Grades 5 to 8,The total number of people in each geography currently enrolled in grades 5 through 8 inclusive.  This corresponds roughly to middle school.,1,quantile,4,
+56,,,us.census.acs.B14001007_quantile,Numeric,Quantile:Students Enrolled in Grades 9 to 12,The total number of people in each geography currently enrolled in grades 9 through 12 inclusive.  This corresponds roughly to high school.,1,quantile,4,
+57,,,us.census.acs.B14001008_quantile,Numeric,Quantile:Students Enrolled as Undergraduate in College,"The number of people in a geographic area who are enrolled in college at the undergraduate level. Enrollment refers to being registered or listed as a student in an educational program leading to a college degree. This may be a public school or college, a private school or college.",1,quantile,4,
+58,,,us.census.acs.B15003001_quantile,Numeric,Quantile:Population 25 Years and Over,The number of people in a geographic area who are over the age of 25.  This is used mostly as a denominator of educational attainment.,1,quantile,4,
+59,,,us.census.acs.B15003017_quantile,Numeric,Quantile:Population Completed High School,"The number of people in a geographic area over the age of 25 who completed high school, and did not complete a more advanced degree.",1,quantile,4,
+60,,,us.census.acs.B15003019_quantile,Numeric,"Quantile:Population completed less than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for less than one year and no further.,1,quantile,4,
+61,,,us.census.acs.B15003020_quantile,Numeric,"Quantile:Population completed more than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for more than one year but did not obtain a degree,1,quantile,4,
+62,,,us.census.acs.B15003021_quantile,Numeric,Quantile:Population Completed Associate's Degree,"The number of people in a geographic area over the age of 25 who obtained a associate's degree, and did not complete a more advanced degree.",1,quantile,4,
+63,,,us.census.acs.B15003022_quantile,Numeric,Quantile:Population Completed Bachelor's Degree,"The number of people in a geographic area over the age of 25 who obtained a bachelor's degree, and did not complete a more advanced degree.",1,quantile,4,
+64,,,us.census.acs.B15003023_quantile,Numeric,Quantile:Population Completed Master's Degree,"The number of people in a geographic area over the age of 25 who obtained a master's degree, but did not complete a more advanced degree.",1,quantile,4,
+65,,,us.census.acs.B16001001_quantile,Numeric,Quantile:Population 5 Years and Over,The number of people in a geographic area who are over the age of 5.  This is primarily used as a denominator of measures of language spoken at home.,1,quantile,4,
+66,,,us.census.acs.B16001003_quantile,Numeric,Quantile:Speaks Spanish at Home,"The number of people in a geographic area over age 5 who speak Spanish at home, possibly in addition to other languages.",1,quantile,4,
+67,,,us.census.acs.B17001001_quantile,Numeric,Quantile:Population for Whom Poverty Status Determined,"The number of people in each geography who could be identified as either living in poverty or not.  This should be used as the denominator when calculating poverty rates, as it excludes people for whom it was not possible to determine poverty.",1,quantile,4,
+68,,,us.census.acs.B17001002_quantile,Numeric,Quantile:Income In The Past 12 Months Below Poverty Level,"The number of people in a geographic area who are part of a family (which could be just them as an individual) determined to be ""in poverty"" following the Office of Management and Budget's Directive 14. (https://www.census.gov/hhes/povmeas/methodology/ombdir14.html)",1,quantile,4,
+69,,,es.ine.t4_8,Numeric,Persons who were born in Oceania,,5,sum,0,
+70,,,es.ine.t5_16,Numeric,Persons with a foreign nationality who were born in Oceania,,5,sum,0,
+71,,,es.ine.t5_1,Numeric,Persons with Spanish nationality who were born in Spain,,5,sum,0,
+72,,,es.ine.t5_3,Numeric,Persons with Spanish nationality who were born in another EU member state,,5,sum,0,
+73,,,es.ine.t5_5,Numeric,Persons with Spanish nationality who were born in a European country which is not a member of the EU,,5,sum,0,
+74,,,es.ine.t5_7,Numeric,Persons with Spanish nationality who were born in Africa,,5,sum,0,
+75,,,us.census.acs.B19013001_quantile,Numeric,Quantile:Median Household Income in the past 12 Months,"Within a geographic area, the median income received by every household on a regular basis before payments for personal income taxes, social security, union dues, medicare deductions, etc.  It includes income received from wages, salary, commissions, bonuses, and tips; self-employment income from own nonfarm or farm businesses, including proprietorships and partnerships; interest, dividends, net rental income, royalty income, or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); any cash public assistance or welfare payments from the state or local welfare office; retirement, survivor, or disability benefits; and any other sources of income received regularly such as Veterans' (VA) payments, unemployment and/or worker's compensation, child support, and alimony.",1,quantile,4,
+76,,,us.census.acs.B19083001_quantile,Numeric,Quantile:Gini Index,,1,quantile,4,
+77,,,us.census.acs.B19301001_quantile,Numeric,Quantile:Per Capita Income in the past 12 Months,,1,quantile,4,
+78,,,us.census.acs.B25001001_quantile,Numeric,Quantile:Housing Units,"A count of housing units in each geography.  A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters.",1,quantile,4,
+79,,,us.census.acs.B25002003_quantile,Numeric,Quantile:Vacant Housing Units,"The count of vacant housing units in a geographic area. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",1,quantile,4,
+80,,,us.census.acs.B25004002_quantile,Numeric,Quantile:Vacant Housing Units for Rent,"The count of vacant housing units in a geographic area that are for rent. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",1,quantile,4,
+81,,,us.census.acs.B25004004_quantile,Numeric,Quantile:Vacant Housing Units for Sale,"The count of vacant housing units in a geographic area that are for sale. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",1,quantile,4,
+82,,,us.census.acs.B25058001_quantile,Numeric,Quantile:Median Rent,"The median contract rent within a geographic area. The contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent asked for the rental unit at the time of interview.",1,quantile,4,
+83,,,us.census.acs.B25071001_quantile,Numeric,Quantile:Percent of Household Income Spent on Rent,"Within a geographic area, the median percentage of household income which was spent on gross rent.  Gross rent is the amount of the contract rent plus the estimated average monthly cost of utilities (electricity, gas, water, sewer etc.) and fuels (oil, coal, wood, etc.) if these are paid by the renter.  Household income is the sum of the income of all people 15 years and older living in the household.",1,quantile,4,
+84,,,us.census.acs.B25075001_quantile,Numeric,Quantile:Owner-occupied Housing Units,,1,quantile,4,
+85,,,us.census.acs.B25075025_quantile,Numeric,"Quantile:Owner-occupied Housing Units valued at $1,000,000 or more.","The count of owner occupied housing units in a geographic area that are valued at $1,000,000 or more.  Value is the respondent's estimate of how much the property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale.",1,quantile,4,
+86,,,us.census.acs.B25081002_quantile,Numeric,Quantile:Owner-occupied Housing Units with a Mortgage,"The count of housing units within a geographic area that are mortagaged. ""Mortgage"" refers to all forms of debt where the property is pledged as security for repayment of the debt, including deeds of trust, trust deed, contracts to purchase, land contracts, junior mortgages, and home equity loans.",1,quantile,4,
+87,,,us.census.acs.B23008004_quantile,Numeric,"Quantile:Two-parent families, both parents in labor force with young children (under 6 years of age)",,1,quantile,4,
+88,,,us.census.acs.B23008005_quantile,Numeric,"Quantile:Two-parent families, father only in labor force with young children (under 6 years of age)",,1,quantile,4,
+89,,,us.census.acs.B23008006_quantile,Numeric,"Quantile:Two-parent families, mother only in labor force with young children (under 6 years of age)",,1,quantile,4,
+90,,,us.census.acs.B23008007_quantile,Numeric,"Quantile:Two-parent families, neither parent in labor force with young children (under 6 years of age)",,1,quantile,4,
+91,,,us.census.acs.B23008008_quantile,Numeric,Quantile:One-parent families with young children (under 6 years of age),,1,quantile,4,
+92,,,us.census.acs.B23008009_quantile,Numeric,"Quantile:One-parent families, father, with young children (under 6 years of age)",,1,quantile,4,
+93,,,us.census.acs.B23025005_quantile,Numeric,Quantile:Unemployed Population,"The number of civilians in each geography who are 16 years old and over are classified as unemployed if they (1) were neither ""at work"" nor ""with a job but not at work"" during the reference week, and (2) were actively looking for work during the last 4 weeks, and (3) were available to start a job. Also included as unemployed are civilians who did not work at all during the reference week, were waiting to be called back to a job from which they had been laid off, and were available for work except for temporary illness. Examples of job seeking activities are:
               * Registering at a public or private employment office
               * Meeting with prospective employers
               * Investigating possibilities for starting a professional
@@ -7115,566 +7270,700 @@ cartodb_id,the_geom,the_geom_webmercator,id,type,name,description,weight,aggrega
               * Placing or answering advertisements
               * Writing letters of application
               * Being on a union or professional register",1,quantile,4,
-78,,,us.census.acs.B01001B012_quantile,Numeric,Quantile:Black Men age 45 to 54,,1,quantile,4,
-79,,,us.census.acs.B01001B013_quantile,Numeric,Quantile:Black Men age 55 to 64,,1,quantile,4,
-80,,,us.census.acs.B01001I012_quantile,Numeric,Quantile:Hispanic Men age 45 to 54,,1,quantile,4,
-81,,,us.census.acs.B01001I013_quantile,Numeric,Quantile:Hispanic Men age 55 to 64,,1,quantile,4,
-82,,,us.census.acs.B01001H012_quantile,Numeric,Quantile:White Men age 45 to 54,,1,quantile,4,
-83,,,us.census.acs.B01001H013_quantile,Numeric,Quantile:White Men age 55 to 64,,1,quantile,4,
-84,,,us.census.acs.B01001D012_quantile,Numeric,Quantile:Asian Men age 45 to 54,,1,quantile,4,
-85,,,us.census.acs.B01001D013_quantile,Numeric,Quantile:Asian Men age 55 to 64,,1,quantile,4,
-86,,,us.census.acs.B15001028_quantile,Numeric,Quantile:Men age 45 to 64 who attained less than a 9th grade education,,1,quantile,4,
-87,,,us.census.acs.B15001029_quantile,Numeric,"Quantile:Men age 45 to 64 who attained between 9th and 12th grade, no diploma",,1,quantile,4,
-88,,,us.census.acs.B15001030_quantile,Numeric,Quantile:Men age 45 to 64 who completed high school or obtained GED,,1,quantile,4,
-89,,,us.census.acs.B15001031_quantile,Numeric,"Quantile:Men age 45 to 64 who completed some college, no degree",,1,quantile,4,
-90,,,us.census.acs.B15001032_quantile,Numeric,Quantile:Men age 45 to 64 who obtained an associate's degree,,1,quantile,4,
-91,,,us.census.acs.B15001033_quantile,Numeric,Quantile:Men age 45 to 64 who obtained a bachelor's degree,,1,quantile,4,
-93,,,us.census.acs.B23008010_quantile,Numeric,"Quantile:One-parent families, father in labor force, with young children (under 6 years of age)",,1,quantile,4,
-94,,,us.census.acs.B12005001_quantile,Numeric,Quantile:Population 15 Years and Over,The number of people in a geographic area who are over the age of 15.  This is used mostly as a denominator of marital status.,1,quantile,4,
-95,,,us.census.acs.B12005002_quantile,Numeric,Quantile:Never Married,The number of people in a geographic area who have never been married.,1,quantile,4,
-96,,,us.census.acs.B12005005_quantile,Numeric,Quantile:Currently married,The number of people in a geographic area who are currently married,1,quantile,4,
-97,,,us.census.acs.B12005008_quantile,Numeric,Quantile:Married but separated,The number of people in a geographic area who are married but separated,1,quantile,4,
-98,,,us.census.acs.B12005012_quantile,Numeric,Quantile:Widowed,The number of people in a geographic area who are widowed,1,quantile,4,
-99,,,us.census.acs.B12005015_quantile,Numeric,Quantile:Divorced,The number of people in a geographic area who are divorced,1,quantile,4,
-100,,,us.census.acs.B08134001_quantile,Numeric,Quantile:Workers age 16 and over who do not work from home,The number of workers over the age of 16 who do not work from home in a geographic area,1,quantile,4,
-101,,,us.census.acs.B08134002_quantile,Numeric,Quantile:Number of workers with less than 10 minute commute,The number of workers over the age of 16 who do not work from home and commute in less than 10 minutes in a geographic area,1,quantile,4,
-102,,,us.census.acs.B08303004_quantile,Numeric,Quantile:Number of workers with a commute between 10 and 14 minutes,The number of workers over the age of 16 who do not work from home and commute in between 10 and 14 minutes in a geographic area,1,quantile,4,
-103,,,us.census.acs.B08303005_quantile,Numeric,Quantile:Number of workers with a commute between 15 and 19 minutes,The number of workers over the age of 16 who do not work from home and commute in between 15 and 19 minutes in a geographic area,1,quantile,4,
-104,,,us.census.acs.B08303006_quantile,Numeric,Quantile:Number of workers with a commute between 20 and 24 minutes,The number of workers over the age of 16 who do not work from home and commute in between 20 and 24 minutes in a geographic area,1,quantile,4,
-105,,,us.census.acs.B08303007_quantile,Numeric,Quantile:Number of workers with a commute between 25 and 29 minutes,The number of workers over the age of 16 who do not work from home and commute in between 25 and 29 minutes in a geographic area,1,quantile,4,
-106,,,us.census.acs.B08303008_quantile,Numeric,Quantile:Number of workers with a commute between 30 and 34 minutes,The number of workers over the age of 16 who do not work from home and commute in between 30 and 34 minutes in a geographic area,1,quantile,4,
-107,,,us.census.acs.B08303011_quantile,Numeric,Quantile:Number of workers with a commute between 45 and 59 minutes,The number of workers over the age of 16 who do not work from home and commute in between 45 and 59 minutes in a geographic area,1,quantile,4,
-108,,,us.census.acs.B19001009_quantile,Numeric,"Quantile:Households with income of $40,000 To $44,999","The number of households in a geographic area whose annual income was between $40,000 and $44,999.",1,quantile,4,
-109,,,us.census.acs.B19001010_quantile,Numeric,"Quantile:Households with income of $45,000 To $49,999","The number of households in a geographic area whose annual income was between $45,000 and $49,999.",1,quantile,4,
-110,,,us.census.acs.B19001011_quantile,Numeric,"Quantile:Households with income of $50,000 To $59,999","The number of households in a geographic area whose annual income was between $50,000 and $59,999.",1,quantile,4,
-111,,,us.census.acs.B19001012_quantile,Numeric,"Quantile:Households with income of $60,000 To $74,999","The number of households in a geographic area whose annual income was between $60,000 and $74,999.",1,quantile,4,
-112,,,us.census.acs.B19001013_quantile,Numeric,"Quantile:Households with income of $75,000 To $99,999","The number of households in a geographic area whose annual income was between $75,000 and $99,999.",1,quantile,4,
-113,,,us.census.acs.B19001014_quantile,Numeric,"Quantile:Households with income of $100,000 To $124,999","The number of households in a geographic area whose annual income was between $100,000 and $124,999.",1,quantile,4,
-114,,,us.census.acs.B19001015_quantile,Numeric,"Quantile:Households with income of $125,000 To $149,999","The number of households in a geographic area whose annual income was between $125,000 and $149,999.",1,quantile,4,
-115,,,us.census.acs.B19001016_quantile,Numeric,"Quantile:Households with income of $150,000 To $199,999","The number of households in a geographic area whose annual income was between $150,000 and $1999,999.",1,quantile,4,
-116,,,us.census.acs.B25076001_quantile,Numeric,Quantile:Owner-Occupied Housing Units Lower Value Quartile,,1,quantile,4,
-117,,,us.census.acs.B25077001_quantile,Numeric,Quantile:Owner-Occupied Housing Units Median Value,,1,quantile,4,
-118,,,us.census.acs.B25078001_quantile,Numeric,Quantile:Owner-Occupied Housing Units Upper Value Quartile,,1,quantile,4,
-119,,,us.census.acs.B07009002_quantile,Numeric,Quantile:Less than high school graduate,,1,quantile,4,
-120,,,us.census.acs.B07009003_quantile,Numeric,"Quantile:Population with high school degree, including GED",,1,quantile,4,
-121,,,us.census.acs.B07009004_quantile,Numeric,Quantile:Population who completed some college or obtained associate's degree,,1,quantile,4,
-122,,,us.census.acs.B07009005_quantile,Numeric,Quantile:Population who completed a bachelor's degree. From mobility table.,,1,quantile,4,
-123,,,us.census.acs.B07009006_quantile,Numeric,Quantile:Population who completed a graduate or professional degree,,1,quantile,4,
-124,,,us.census.acs.B09005005_quantile,Numeric,Quantile:Children under 18 years of age in single female-led household,,1,quantile,4,
-125,,,us.census.acs.B11001003_quantile,Numeric,Quantile:Married households,,1,quantile,4,
-126,,,us.census.acs.B11009003_quantile,Numeric,Quantile:Households with two male partners,,1,quantile,4,
-127,,,us.census.acs.B11009005_quantile,Numeric,Quantile:Households with two female partners,,1,quantile,4,
-128,,,us.census.acs.B25003001_quantile,Numeric,Quantile:Renter occupied housing units,,1,quantile,4,
-129,,,us.census.acs.B16001005_quantile,Numeric,"Quantile:Speaks Spanish at Home, speaks English less than ""very well""",,1,quantile,4,
-130,,,us.census.acs.B25003003_quantile,Numeric,Quantile:Renter occupied housing units,,1,quantile,4,
-131,,,us.census.acs.B25024002_quantile,Numeric,Quantile:Single-family (one unit) detached dwellings,,1,quantile,4,
-132,,,us.census.acs.B25024003_quantile,Numeric,Quantile:Single-family (one unit) detached dwellings,,1,quantile,4,
-133,,,us.census.acs.B25024004_quantile,Numeric,Quantile:Two-family (two unit) dwellings,,1,quantile,4,
-134,,,us.census.acs.B25024005_quantile,Numeric,Quantile:Multifamily dwellings with three to 4 units,,1,quantile,4,
-135,,,us.census.acs.B25024006_quantile,Numeric,Quantile:Apartment buildings with 5 to 9 units,,1,quantile,4,
-136,,,us.census.acs.B25024007_quantile,Numeric,Quantile:Apartment buildings with 10 to 19 units,,1,quantile,4,
-137,,,us.census.acs.B25024008_quantile,Numeric,Quantile:Apartment buildings with 20 to 49 units,,1,quantile,4,
-138,,,us.census.acs.B25024009_quantile,Numeric,Quantile:Apartment buildings with 50 or more units,,1,quantile,4,
-139,,,us.census.acs.B25024010_quantile,Numeric,Quantile:Mobile homes,,1,quantile,4,
-140,,,us.census.acs.B25034002_quantile,Numeric,Quantile:Housing units built in 2005 or later,,1,quantile,4,
-141,,,us.census.acs.B25034003_quantile,Numeric,Quantile:Housing units built between 2000 and 2004,,1,quantile,4,
-142,,,us.census.acs.B25034010_quantile,Numeric,Quantile:Housing units built before 1939,,1,quantile,4,
-143,,,us.census.acs.C24050002_quantile,Numeric,"Quantile:Workers employed in firms in agriculture, forestry, fishing, hunting, or mining",,1,quantile,4,
-144,,,us.census.acs.C24050003_quantile,Numeric,Quantile:Workers employed in firms in construction,,1,quantile,4,
-147,,,us.census.acs.C24050006_quantile,Numeric,Quantile:Workers employed in firms in retail trade,,1,quantile,4,
-148,,,us.census.acs.C24050007_quantile,Numeric,"Quantile:Workers employed in firms in transportation, warehousing, and utilities",,1,quantile,4,
-149,,,us.census.acs.C24050008_quantile,Numeric,Quantile:Workers employed in firms in information,,1,quantile,4,
-150,,,us.census.acs.C24050009_quantile,Numeric,"Quantile:Workers employed in firms in finance, insurance, real estate and rental and leasing",,1,quantile,4,
-151,,,us.census.acs.C24050010_quantile,Numeric,"Quantile:Workers employed in firms in professional scientific, management, administrative and waste management services",,1,quantile,4,
-152,,,us.census.acs.C24050011_quantile,Numeric,"Quantile:Workers employed in firms in educational services, health care, and social assistance",,1,quantile,4,
-153,,,us.census.acs.C24050012_quantile,Numeric,"Quantile:Workers employed in firms in arts, entertainment, recreation, accommodation and food services",,1,quantile,4,
-154,,,us.census.acs.C24050013_quantile,Numeric,Quantile:Workers employed in firms in other services except public administration,,1,quantile,4,
-155,,,us.census.acs.C24050014_quantile,Numeric,Quantile:Workers employed in firms in public administration,,1,quantile,4,
-156,,,us.census.acs.C24050015_quantile,Numeric,Quantile:Workers employed in management business science and arts occupations,,1,quantile,4,
-157,,,us.census.acs.C24050043_quantile,Numeric,Quantile:Workers employed in sales and office occupations,,1,quantile,4,
-158,,,us.census.acs.C24050057_quantile,Numeric,"Quantile:Workers employed in natural resources, construction, and maintenance occupations",,1,quantile,4,
-159,,,us.census.acs.C24050071_quantile,Numeric,"Quantile:Workers employed in production, transportation, and material moving",,1,quantile,4,
-160,,,us.census.acs.B01001003_quantile,Numeric,Quantile:Male under 5 years,,1,quantile,4,
-161,,,us.census.acs.B01001004_quantile,Numeric,Quantile:Male age 10 to 14,,1,quantile,4,
-162,,,us.census.acs.B01001006_quantile,Numeric,Quantile:Male age 15 to 17,,1,quantile,4,
-163,,,us.census.acs.B01001007_quantile,Numeric,Quantile:Male age 18 and 19,,1,quantile,4,
-164,,,us.census.acs.B01001008_quantile,Numeric,Quantile:Male age 20,,1,quantile,4,
-165,,,us.census.acs.B01001009_quantile,Numeric,Quantile:Male age 21,,1,quantile,4,
-166,,,us.census.acs.B01001010_quantile,Numeric,Quantile:Male age 22 to 24,,1,quantile,4,
-167,,,us.census.acs.B01001011_quantile,Numeric,Quantile:Male age 25 to 29,,1,quantile,4,
-168,,,us.census.acs.B01001012_quantile,Numeric,Quantile:Male age 30 to 34,,1,quantile,4,
-169,,,us.census.acs.B01001013_quantile,Numeric,Quantile:Male age 35 to 39,,1,quantile,4,
-170,,,us.census.acs.B01001014_quantile,Numeric,Quantile:Male age 40 to 44,,1,quantile,4,
-171,,,us.census.acs.B15001027_quantile,Numeric,"Quantile:Men age 45 to 64 (""middle aged"")",,1,quantile,4,
-172,,,us.census.acs.B01001015_quantile,Numeric,Quantile:Men age 45 to 49,,1,quantile,4,
-173,,,us.census.acs.B01001016_quantile,Numeric,Quantile:Men age 50 to 54,,1,quantile,4,
-174,,,us.census.acs.B01001017_quantile,Numeric,Quantile:Men age 55 to 59,,1,quantile,4,
-175,,,us.census.acs.B01001018_quantile,Numeric,Quantile:Men age 60 to 61,,1,quantile,4,
-176,,,us.census.acs.B01001019_quantile,Numeric,Quantile:Men age 62 to 64,,1,quantile,4,
-177,,,us.census.acs.B01001020_quantile,Numeric,Quantile:Male age 65 to 66,,1,quantile,4,
-178,,,us.census.acs.B01001021_quantile,Numeric,Quantile:Male age 67 to 69,,1,quantile,4,
-179,,,us.census.acs.B01001022_quantile,Numeric,Quantile:Male age 70 to 74,,1,quantile,4,
-181,,,us.census.acs.B01001024_quantile,Numeric,Quantile:Male age 80 to 84,,1,quantile,4,
-182,,,us.census.acs.B01001025_quantile,Numeric,Quantile:Male age 85 and over,,1,quantile,4,
-183,,,us.census.acs.B01001027_quantile,Numeric,Quantile:Female under 5 years,,1,quantile,4,
-184,,,us.census.acs.B01001028_quantile,Numeric,Quantile:Female age 5 to 9,,1,quantile,4,
-185,,,us.census.acs.B01001029_quantile,Numeric,Quantile:Female age 10 to 14,,1,quantile,4,
-186,,,us.census.acs.B01001030_quantile,Numeric,Quantile:Female age 15 to 17,,1,quantile,4,
-187,,,us.census.acs.B01001031_quantile,Numeric,Quantile:Female age 18 and 19,,1,quantile,4,
-188,,,us.census.acs.B01001032_quantile,Numeric,Quantile:Female age 20,,1,quantile,4,
-189,,,us.census.acs.B01001033_quantile,Numeric,Quantile:Female age 21,,1,quantile,4,
-190,,,us.census.acs.B01001034_quantile,Numeric,Quantile:Female age 22 to 24,,1,quantile,4,
-191,,,us.census.acs.B01001035_quantile,Numeric,Quantile:Female age 25 to 29,,1,quantile,4,
-192,,,us.census.acs.B01001036_quantile,Numeric,Quantile:Female age 30 to 34,,1,quantile,4,
-193,,,us.census.acs.B01001037_quantile,Numeric,Quantile:Female age 35 to 39,,1,quantile,4,
-194,,,us.census.acs.B01001038_quantile,Numeric,Quantile:Female age 40 to 44,,1,quantile,4,
-195,,,us.census.acs.B01001039_quantile,Numeric,Quantile:Female age 45 to 49,,1,quantile,4,
-196,,,us.census.acs.B01001040_quantile,Numeric,Quantile:Female age 50 to 54,,1,quantile,4,
-197,,,us.census.acs.B01001041_quantile,Numeric,Quantile:Female age 55 to 59,,1,quantile,4,
-198,,,us.census.acs.B01001042_quantile,Numeric,Quantile:Female age 60 and 61,,1,quantile,4,
-199,,,us.census.acs.B01001043_quantile,Numeric,Quantile:Female age 62 to 64,,1,quantile,4,
-200,,,us.census.acs.B01001044_quantile,Numeric,Quantile:Female age 65 to 66,,1,quantile,4,
-201,,,us.census.acs.B01001045_quantile,Numeric,Quantile:Female age 67 to 69,,1,quantile,4,
-202,,,us.census.acs.B01001046_quantile,Numeric,Quantile:Female age 70 to 74,,1,quantile,4,
-203,,,us.census.acs.B01001047_quantile,Numeric,Quantile:Female age 75 to 79,,1,quantile,4,
-204,,,us.census.acs.B01001048_quantile,Numeric,Quantile:Female age 80 to 84,,1,quantile,4,
-205,,,us.census.acs.B01001049_quantile,Numeric,Quantile:Female age 85 and over,,1,quantile,4,
-206,,,us.census.acs.B02001002_quantile,Numeric,Quantile:White including Hispanic,,1,quantile,4,
-207,,,us.census.acs.B02001003_quantile,Numeric,Quantile:Black including Hispanic,,1,quantile,4,
-208,,,us.census.acs.B02001004_quantile,Numeric,Quantile:American Indian including Hispanic,,1,quantile,4,
-209,,,us.census.acs.B02001005_quantile,Numeric,Quantile:Asian including Hispanic,,1,quantile,4,
-210,,,us.census.acs.B03001003_quantile,Numeric,Quantile:Hispanic of any race,,1,quantile,4,
-211,,,us.census.acs.B08303003_quantile,Numeric,Quantile:Number of workers with a commute between 5 and 9 minutes,,1,quantile,4,
-212,,,us.census.acs.B08303009_quantile,Numeric,Quantile:Number of workers with a commute between 35 and 39 minutes,,1,quantile,4,
-213,,,us.census.acs.B08303010_quantile,Numeric,Quantile:Number of workers with a commute between 40 and 44 minutes,,1,quantile,4,
-214,,,us.census.acs.B08303012_quantile,Numeric,Quantile:Number of workers with a commute between 60 and 89 minutes,,1,quantile,4,
-215,,,us.census.acs.B08303013_quantile,Numeric,Quantile:Number of workers with a commute of more than 90 minutes,,1,quantile,4,
-216,,,us.census.spielman_singleton_segments.X55,Text,Spielman-Singleton Segments: 55 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 55 clusters",7,,10,"{""categories"": {""Middle Class, Educated, Suburban, Mixed Race"": {""description"": """", ""details"": {}}, ""Low Income on Urban Periphery"": {""description"": """", ""details"": {}}, ""Suburban, Young and Low-income"": {""description"": """", ""details"": {}}, ""low-income, urban, young, unmarried"": {""description"": """", ""details"": {}}, ""Low education, mainly suburban"": {""description"": """", ""details"": {}}, ""Young, working class and rural"": {""description"": """", ""details"": {}}, ""Low-Income with gentrification"": {""description"": """", ""details"": {}}, ""High school education Long Commuters, Black, White Hispanic mix"": {""description"": """", ""details"": {}}, ""Rural, Bachelors or college degree, Rent owned mix"": {""description"": """", ""details"": {}}, ""Rural,High School Education, Owns property"": {""description"": """", ""details"": {}}, ""Young, City based renters in Sparse neighborhoods, Low poverty"": {""description"": """", ""details"": {}}, ""Predominantly black, high high school attainment, home owners"": {""description"": """", ""details"": {}}, ""White and minority mix multilingual, mixed income / education. Married"": {""description"": """", ""details"": {}}, ""Hispanic Black mix multilingual, high poverty, renters, uses public transport"": {""description"": """", ""details"": {}}, ""Predominantly black renters, rent own mix"": {""description"": """", ""details"": {}}, ""Lower Middle Income with higher rent burden"": {""description"": """", ""details"": {}}, ""Black and mixed community with rent burden"": {""description"": """", ""details"": {}}, ""Lower Middle Income with affordable housing"": {""description"": """", ""details"": {}}, ""Relatively affordable, satisfied lower middle class"": {""description"": """", ""details"": {}}, ""Satisfied Lower Middle Income Higher Rent Costs"": {""description"": """", ""details"": {}}, ""Suburban/Rural Satisfied, decently educated lower middle class"": {""description"": """", ""details"": {}}, ""Struggling lower middle class with rent burden"": {""description"": """", ""details"": {}}, ""Older white home owners, less comfortable financially"": {""description"": """", ""details"": {}}, ""Older home owners, more financially comfortable, some diversity"": {""description"": """", ""details"": {}}, ""Younger, poorer,single parent family Native Americans"": {""description"": """", ""details"": {}}, ""Older, middle income Native Americans once married and Educated"": {""description"": """", ""details"": {}}, ""Older, mixed race professionals"": {""description"": """", ""details"": {}}, ""Works from home, Highly Educated, Super Wealthy"": {""description"": """", ""details"": {}}, ""Retired Grandparents"": {""description"": """", ""details"": {}}, ""Wealthy and Rural Living"": {""description"": """", ""details"": {}}, ""Wealthy, Retired Mountains/Coasts"": {""description"": """", ""details"": {}}, ""Wealthy Diverse Suburbanites On the Coasts"": {""description"": """", ""details"": {}}, ""Retirement Communitties"": {""description"": """", ""details"": {}}, ""Urban - Inner city"": {""description"": """", ""details"": {}}, ""Rural families"": {""description"": """", ""details"": {}}, ""College towns"": {""description"": """", ""details"": {}}, ""College town with poverty"": {""description"": """", ""details"": {}}, ""University campus wider area"": {""description"": """", ""details"": {}}, ""City Outskirt University Campuses"": {""description"": """", ""details"": {}}, ""City Center University Campuses"": {""description"": """", ""details"": {}}, ""Lower educational attainment, Homeowner, Low rent"": {""description"": """", ""details"": {}}, ""Younger, Long Commuter in dense neighborhood"": {""description"": """", ""details"": {}}, ""Long commuters White black mix"": {""description"": """", ""details"": {}}, ""Low rent in built up neighborhoods"": {""description"": """", ""details"": {}}, ""Renters within cities, mixed income areas, White/Hispanic mix, Unmarried"": {""description"": """", ""details"": {}}, ""Older Home owners with high income"": {""description"": """", ""details"": {}}, ""Older home owners and very high income"": {""description"": """", ""details"": {}}, ""White, Asian Mix Big City Burbs Dwellers"": {""description"": """", ""details"": {}}, ""Bachelors degree Mid income With Mortgages"": {""description"": """", ""details"": {}}, ""Asian Hispanic Mix, Mid income"": {""description"": """", ""details"": {}}, ""Bachelors degree Higher income Home Owners"": {""description"": """", ""details"": {}}, ""Wealthy city commuters"": {""description"": """", ""details"": {}}, ""New Developments"": {""description"": """", ""details"": {}}, ""Very wealthy, multiple million dollar homes"": {""description"": """", ""details"": {}}, ""High rise, dense urbanites"": {""description"": """", ""details"": {}}}}"
-217,,,us.ny.nyc.opendata.party_type,Integer,Party Type,,0,,4,
-218,,,es.ine.total_pop,Numeric,Total Population,The total number of all people living in a geographic area.,10,sum,1,
-219,,,es.ine.pop_100_more,Numeric,Population age 100 or more,,0,,1,
-220,,,es.ine.pop_0_4,Numeric,Population age 0 to 4,,0,,1,
-221,,,es.ine.pop_5_9,Numeric,Population age 5 to 9,,0,,1,
-222,,,us.zillow.SingleFamilyResidence_Zhvi,Numeric,Zillow Home Value Index for Single Family Homes,"The Zillow Home Value Index (ZHVI) is a time series tracking the monthly median home value (in US Dollars) in a particular geographical region. In general, each ZHVI time series begins in April 1996. See `Zillow's methodology <http://www.zillow.com/research/zhvi-methodology-6032/>`_ for more information. Single family residences are detached, free-standing residential buildings. ",1,index,4,
-223,,,us.zillow.AllHomes_Zhvi,Numeric,Zillow Home Value Index for All homes,"The Zillow Home Value Index (ZHVI) is a time series tracking the monthly median home value (in US Dollars) in a particular geographical region. In general, each ZHVI time series begins in April 1996. See `Zillow's methodology <http://www.zillow.com/research/zhvi-methodology-6032/>`_ for more information. Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.",1,index,4,
-224,,,us.zillow.AllHomes_MedianValuePerSqft,Numeric,Median value per square foot for All homes,"Median of the estimated monthly rent price (US Dollars) of all homes, per square foot. This is calculated by taking the estimated rent price for a home and dividing it by the homes square footage. Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.",1,median,4,
-225,,,us.zillow.AllHomes_MedianRentalPricePerSqft,Numeric,Median rental price per square foot for All homes,"Median of the value (US Dollars) of all homes per square foot. This number is calculated by taking the estimated home value for each home in a given region and dividing it by the home's square footage. Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.",1,median,4,
-226,,,us.zillow.Sfr_MedianRentalPricePerSqft,Numeric,Median rental price per square foot for Single Family residence rental,"Median of the value (US Dollars) of all homes per square foot. This number is calculated by taking the estimated home value for each home in a given region and dividing it by the home's square footage. Single family residences are detached, free-standing residential buildings. ",1,median,4,
-227,,,us.zillow.SingleFamilyResidenceRental_Zri,Numeric,Zillow Rental Index for Single Family residence rental,"Similar to Zillow's ZHVI, the Zillow Rent Index (ZRI) tracks the monthly median rent (in US Dollars) in different geographical regions. In general, each ZRI time series beginds in November, 2010.  See `Zillow's methodology <http://www.zillow.com/research/zillow-rent-index-methodology-2393/>`_ for more information. Single Family residence rental is defined as detached, free-standing residential buildings which are rented out.",1,index,4,
-257,,,us.census.acs.B07204007_quantile,Numeric,Quantile:Lived in a different house one year ago in a different city,,1,quantile,4,
-258,,,us.census.acs.B26001001_quantile,Numeric,Quantile:Population living in group quarters,,1,quantile,4,
-228,,,us.zillow.AllHomesPlusMultifamily_Zri,Numeric,Zillow Rental Index for All homes plus multifamily,"Similar to Zillow's ZHVI, the Zillow Rent Index (ZRI) tracks the monthly median rent (in US Dollars) in different geographical regions. In general, each ZRI time series beginds in November, 2010.  See `Zillow's methodology <http://www.zillow.com/research/zillow-rent-index-methodology-2393/>`_ for more information. In addition to ""All homes"", which Zillow defines as single-family, condominium and co-operative homes with a county record, this group includes units in buildings with 5 or more housing units that are not a condominiums or co-ops.",1,index,4,
-229,,,us.census.acs.B25064001_quantile,Numeric,Quantile:Renter-Occupied Housing Units Paying Cash Rent Median Gross Rent,,1,quantile,4,
-230,,,es.ine.pop_10_14,Numeric,Population age 10 to 14,,0,,1,
-231,,,es.ine.pop_15_19,Numeric,Population age 15 to 19,,0,,1,
-232,,,es.ine.pop_20_24,Numeric,Population age 20 to 24,,0,,1,
-233,,,es.ine.pop_25_29,Numeric,Population age 25 to 29,,0,,1,
-234,,,es.ine.pop_30_34,Numeric,Population age 30 to 34,,0,,1,
-235,,,es.ine.pop_35_39,Numeric,Population age 35 to 39,,0,,1,
-236,,,es.ine.pop_40_44,Numeric,Population age 40 to 44,,0,,1,
-237,,,es.ine.pop_45_49,Numeric,Population age 45 to 49,,0,,1,
-238,,,es.ine.pop_50_54,Numeric,Population age 50 to 54,,0,,1,
-239,,,es.ine.pop_55_59,Numeric,Population age 55 to 59,,0,,1,
-240,,,es.ine.pop_60_64,Numeric,Population age 60 to 64,,0,,1,
-241,,,es.ine.pop_65_69,Numeric,Population age 65 to 69,,0,,1,
-242,,,es.ine.pop_70_74,Numeric,Population age 70 to 74,,0,,1,
-243,,,es.ine.pop_75_79,Numeric,Population age 75 to 79,,0,,1,
-244,,,es.ine.pop_80_84,Numeric,Population age 80 to 84,,0,,1,
-245,,,es.ine.pop_85_89,Numeric,Population age 85 to 89,,0,,1,
-246,,,es.ine.pop_90_94,Numeric,Population age 90 to 94,,0,,1,
-247,,,es.ine.pop_95_99,Numeric,Population age 95 to 99,,0,,1,
-248,,,us.census.tiger.county,Geometry,US County,"The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.",7,,7,
-283,,,us.census.acs.B08006003,Numeric,Commuters who drove alone,"The number of workers age 16 years and over within a geographic area who primarily traveled by car driving alone. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",2,sum,9,
-373,,,us.census.acs.B08303007,Numeric,Number of workers with a commute between 25 and 29 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 25 and 29 minutes. ,2,sum,9,
-249,,,us.census.tiger.cbsa,Geometry,Core Based Statistical Area (CBSA),"Core Based Statistical Areas (CBSAs) consist of the county or counties or equivalent entities associated with at least one core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties associated with the core. The general concept of a CBSA is that of a
-core area containing a substantial population nucleus, together with adjacent communities having a high degree of economic and social integration with that core. The term “core based statistical area” became effective in 2003 and refers collectively to metropolitan statistical areas and micropolitan statistical areas. The U.S. Office of Management and Budget (OMB) defines CBSAs to provide a nationally consistent set of geographic entities for the United States and Puerto Rico for use in tabulating and presenting statistical data. Current CBSAs are based on application of the 2000 standards (published in the Federal Register of December 27, 2000) with Census 2000 data. The first set of areas defined based on the 2000 standards were announced on June 6, 2003; subsequent updates have been made to the universe of CBSAs and related statistical areas. No CBSAs are defined in the Island Areas. Statistical areas related to CBSAs include metropolitan divisions, combined statistical areas (CSAs), New England city and town areas (NECTAs), NECTA divisions, and combined NECTAs.",0,,7,
-250,,,us.census.tiger.school_district_secondary_clipped,Geometry,Shoreline clipped Secondary School District,A cartography-ready version of Secondary School District,3,,7,
-252,,,us.census.acs.C24050029_quantile,Numeric,Quantile:Workers employed in service occupations,,1,quantile,4,
-253,,,us.census.acs.B19058002_quantile,Numeric,Quantile:Households on cash public assistance or receiving food stamps (SNAP),,1,quantile,4,
-254,,,us.census.acs.B19059002_quantile,Numeric,Quantile:Households receiving retirement income,,1,quantile,4,
-255,,,us.census.acs.B07204001_quantile,Numeric,Quantile:Population 1 year and over,,1,quantile,4,
-256,,,us.census.acs.B07204004_quantile,Numeric,Quantile:Lived in a different house one year ago in the same city,,1,quantile,4,
-259,,,us.census.acs.B08014002_quantile,Numeric,Quantile:Workers age 16 and over with no vehicle,,1,quantile,4,
-260,,,es.ine.cusec_id,Text,Sección Censal,,0,,4,
-261,,,us.census.tiger.block_group_geoid,Text,US Census Block Groups Geoids,,0,,6,
-262,,,us.census.tiger.congressional_district_geoid,Text,US Congressional Districts Geoids,,0,,6,
-263,,,us.census.tiger.block_group,Geometry,US Census Block Groups,"Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
-A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within the census tract. Within the standard census geographic hierarchy, BGs never cross state, county, or census tract boundaries but may cross the boundaries of any other geographic entity. Tribal census tracts and tribal BGs are separate and unique geographic areas defined within federally recognized American Indian reservations and can cross state and county boundaries (see “Tribal Census Tract” and “Tribal Block Group”). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.",10,,7,
-264,,,us.census.tiger.congressional_district,Geometry,US Congressional Districts,"Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on decennial census population counts, each state with multiple seats is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. For the District of Columbia, Puerto Rico, and each Island Area, a separate code is used to identify the entire areas of these state-equivalent entities as having a single nonvoting delegate.",5,,7,
-265,,,us.census.tiger.school_district_secondary,Geometry,Secondary School District,"School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
-The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
-The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
-The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.",3,,7,
-284,,,us.census.acs.B08006011,Numeric,Commuters by Subway or Elevated,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by subway or elevated train.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",3,sum,9,
-266,,,us.census.tiger.place,Geometry,Incorporated Places,"Incorporated places are those reported to the Census Bureau as legally in existence as of January 1, 2010, as reported in the latest Boundary and Annexation Survey (BAS), under the laws of their respective states. An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division, which generally is created to provide services or administer an area without regard, necessarily, to population. Places always are within a single state or equivalent entity, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. For Census Bureau data tabulation and presentation purposes, incorporated places exclude:
-Boroughs in Alaska (treated as statistical equivalents of counties).
-Towns in the New England states, New York, and Wisconsin (treated as MCDs).
-Boroughs in New York (treated as MCDs).
-Census Designated Places (CDPs) are the statistical counterparts of incorporated places, and are delineated to provide data for settled concentrations of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located. The boundaries usually are defined in cooperation with local or tribal officials and generally updated prior to each decennial census. These boundaries, which usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity boundary, have no legal status, nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change from one decennial census
-to the next with changes in the settlement pattern; a CDP with the same name as in an earlier census does not necessarily have the same boundary. CDPs must be contained within a single state and may not extend into an incorporated place. There are no population size requirements for CDPs.
-Hawaii is the only state that has no incorporated places recognized by the Census Bureau. All places shown in decennial census data products for Hawaii are CDPs. By agreement with the state of Hawaii, the Census Bureau does not show data separately for the city of Honolulu, which is coextensive with Honolulu County. In Puerto Rico, which also does not have incorporated places, the Census Bureau recognizes only CDPs and refers to them as comunidades or zonas urbanas. Guam also has only CDPs.",0,,7,
-267,,,us.census.tiger.zcta5,Geometry,US Census Zip Code Tabulation Areas,"ZCTAs are approximate area representations of U.S. Postal Service (USPS) five-digit ZIP Code service areas that the Census Bureau creates using whole blocks to present statistical data from censuses and surveys. The Census Bureau defines ZCTAs by allocating each block that contains addresses to a single ZCTA, usually to the ZCTA that reflects the most frequently occurring ZIP Code for the addresses within that tabulation block. Blocks that do not contain addresses but are completely surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA; those surrounded by multiple ZCTAs will be added to a single ZCTA based on limited buffering performed between multiple ZCTAs. The Census Bureau identifies five-digit ZCTAs using a five-character numeric code that represents the most frequently occurring USPS ZIP Code within that ZCTA, and this code may contain leading zeros.
-There are significant changes to the 2010 ZCTA delineation from that used in 2000. Coverage was extended to include the Island Areas for 2010 so that the United States, Puerto Rico, and the Island Areas have ZCTAs. Unlike 2000, when areas that could not be assigned to a ZCTA were given a generic code ending in “XX” (land area) or “HH” (water area), for 2010 there is no universal coverage by ZCTAs, and only legitimate five-digit areas are defined. The 2010 ZCTAs will better represent the actual Zip Code service areas because the Census Bureau initiated a process before creation of 2010 blocks to add block boundaries that split polygons with large numbers of addresses using different Zip Codes.
-Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The ZCTAs process used primarily residential addresses and was biased towards Zip Codes used for city-style mail delivery, thus there may be Zip Codes that are primarily nonresidential or boxes only that may not have a corresponding ZCTA.",6,,7,
-296,,,us.census.tiger.school_district_elementary_clipped,Geometry,Shoreline clipped Elementary School District,A cartography-ready version of Elementary School District,3,,7,
-268,,,us.census.tiger.school_district_unified,Geometry,Unified School District,"School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
-The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
-The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
-The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.",5,,7,
-269,,,us.census.acs.B01003001,Numeric,Total Population,The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.,10,sum,9,
-270,,,us.census.acs.B01001026,Numeric,Female Population,The number of people within each geography who are female.,8,sum,9,
-271,,,us.census.acs.B03002003,Numeric,White Population,"The number of people identifying as white, non-Hispanic in each geography.",7,sum,9,
-272,,,us.census.acs.B03002004,Numeric,Black or African American Population,"The number of people identifying as black or African American, non-Hispanic in each geography.",7,sum,9,
-273,,,us.census.acs.B03002012,Numeric,Hispanic Population,The number of people identifying as Hispanic or Latino in each geography.,7,sum,9,
-274,,,us.census.acs.B03002005,Numeric,American Indian and Alaska Native Population,The number of people identifying as American Indian or Alaska native in each geography.,1,sum,9,
-275,,,us.census.acs.B03002008,Numeric,Other Race population,The number of people identifying as another race in each geography,1,sum,9,
-276,,,us.census.acs.B03002009,Numeric,Two or more races population,The number of people identifying as two or more races in each geography,1,sum,9,
-277,,,us.census.acs.B03002002,Numeric,Population not Hispanic,The number of people not identifying as Hispanic or Latino in each geography.,1,sum,9,
-278,,,us.census.acs.B05001006,Numeric,Not a U.S. Citizen Population,The number of people within each geography who indicated that they are not U.S. citizens.,3,sum,9,
-279,,,us.census.acs.B08006001,Numeric,Workers over the Age of 16,"The number of people in each geography who work. Workers include those employed at private for-profit companies, the self-employed, government workers and non-profit employees.",5,sum,9,
-280,,,us.census.acs.B08014002,Numeric,Workers age 16 and over with no vehicle,All people in a geographic area over the age of 16 who do not own a car.,1,,9,
-281,,,us.census.acs.B08006002,Numeric,"Commuters by Car, Truck, or Van","The number of workers age 16 years and over within  a geographic area who primarily traveled to work by car, truck or  van.  This is the principal mode of travel or type of conveyance,  by distance rather than time, that the worker usually used to get  from home to work.",4,sum,9,
-282,,,us.census.acs.B08006004,Numeric,Commuters by Carpool,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by carpool.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",2,sum,9,
-372,,,us.census.acs.B08303006,Numeric,Number of workers with a commute between 20 and 24 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 20 and 24 minutes.,2,sum,9,
-285,,,us.census.acs.B08301010,Numeric,Commuters by Public Transportation,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",4,sum,9,
-286,,,us.census.acs.B08006009,Numeric,Commuters by Bus,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by bus.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",3,sum,9,
-287,,,us.census.acs.B08006015,Numeric,Walked to Work,"The number of workers age 16 years and over within a geographic area who primarily walked to work.  This would mean that of any way of getting to work, they travelled the most distance walking.",4,sum,9,
-288,,,us.census.acs.B08006017,Numeric,Worked at Home,The count within a geographical area of workers over the age of 16 who worked at home.,4,sum,9,
-289,,,us.census.acs.B09001001,Numeric,Children under 18 Years of Age,The number of people within each geography who are under 18 years of age.,4,sum,9,
-290,,,us.census.acs.B09005005,Numeric,Children under 18 years of age in single female-led household,,1,sum,9,
-291,,,us.census.acs.B11001001,Numeric,Households,"A count of the number of households in each geography. A household consists of one or more people who live in the same dwelling and also share at meals or living accommodation, and may consist of a single family or some other grouping of people. ",8,sum,9,
-292,,,us.census.acs.B19059002,Numeric,Households receiving retirement income,,0,sum,9,
-293,,,us.census.acs.B14001001,Numeric,Population 3 Years and Over,The total number of people in each geography age 3 years and over.  This denominator is mostly used to calculate rates of school enrollment.,4,sum,9,
-294,,,us.census.acs.B14001002,Numeric,Students Enrolled in School,"The total number of people in each geography currently enrolled at any level of school, from nursery or pre-school to advanced post-graduate education.  Only includes those over the age of 3.",6,sum,9,
-295,,,us.census.tiger.zcta5_clipped,Geometry,Shoreline clipped US Census Zip Code Tabulation Areas,A cartography-ready version of US Census Zip Code Tabulation Areas,6,,7,
-297,,,us.census.tiger.school_district_unified_clipped,Geometry,Shoreline clipped Unified School District,A cartography-ready version of Unified School District,5,,7,
-298,,,us.census.tiger.block_clipped,Geometry,Shoreline clipped US Census Blocks,A cartography-ready version of US Census Blocks,0,,7,
-299,,,us.census.acs.B14001008,Numeric,Students Enrolled as Undergraduate in College,"The number of people in a geographic area who are enrolled in college at the undergraduate level. Enrollment refers to being registered or listed as a student in an educational program leading to a college degree. This may be a public school or college, a private school or college.",5,sum,9,
-300,,,us.census.acs.B14001005,Numeric,Students Enrolled in Grades 1 to 4,The total number of people in each geography currently enrolled in grades 1 through 4 inclusive.  This corresponds roughly to elementary school.,3,sum,9,
-301,,,us.census.acs.B14001006,Numeric,Students Enrolled in Grades 5 to 8,The total number of people in each geography currently enrolled in grades 5 through 8 inclusive.  This corresponds roughly to middle school.,3,sum,9,
-302,,,us.census.acs.B14001007,Numeric,Students Enrolled in Grades 9 to 12,The total number of people in each geography currently enrolled in grades 9 through 12 inclusive.  This corresponds roughly to high school.,3,sum,9,
-303,,,us.census.acs.B07009006,Numeric,Population who completed a graduate or professional degree,,0,sum,9,
-304,,,us.census.acs.B15003001,Numeric,Population 25 Years and Over,The number of people in a geographic area who are over the age of 25.  This is used mostly as a denominator of educational attainment.,2,sum,9,
-305,,,us.census.acs.B15003017,Numeric,Population Completed High School,"The number of people in a geographic area over the age of 25 who completed high school, and did not complete a more advanced degree.",4,sum,9,
-306,,,us.census.acs.B15003019,Numeric,"Population completed less than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for less than one year and no further.,4,sum,9,
-307,,,us.census.acs.B15003020,Numeric,"Population completed more than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for more than one year but did not obtain a degree,4,sum,9,
-308,,,us.census.acs.B15003021,Numeric,Population Completed Associate's Degree,"The number of people in a geographic area over the age of 25 who obtained a associate's degree, and did not complete a more advanced degree.",4,sum,9,
-309,,,us.census.acs.B15003022,Numeric,Population Completed Bachelor's Degree,"The number of people in a geographic area over the age of 25 who obtained a bachelor's degree, and did not complete a more advanced degree.",4,sum,9,
-310,,,us.census.acs.B15003023,Numeric,Population Completed Master's Degree,"The number of people in a geographic area over the age of 25 who obtained a master's degree, but did not complete a more advanced degree.",4,sum,9,
-311,,,us.census.acs.B16001001,Numeric,Population 5 Years and Over,The number of people in a geographic area who are over the age of 5.  This is primarily used as a denominator of measures of language spoken at home.,2,sum,9,
-312,,,us.census.acs.B16001005,Numeric,"Speaks Spanish at Home, speaks English less than ""very well""",,0,sum,9,
-313,,,us.census.acs.B16001002,Numeric,Speaks only English at Home,The number of people in a geographic area over age 5 who speak only English at home.,3,sum,9,
-314,,,us.census.acs.B16001003,Numeric,Speaks Spanish at Home,"The number of people in a geographic area over age 5 who speak Spanish at home, possibly in addition to other languages.",4,sum,9,
-315,,,us.census.acs.B17001001,Numeric,Population for Whom Poverty Status Determined,"The number of people in each geography who could be identified as either living in poverty or not.  This should be used as the denominator when calculating poverty rates, as it excludes people for whom it was not possible to determine poverty.",2,sum,9,
-316,,,us.census.acs.B17001002,Numeric,Income In The Past 12 Months Below Poverty Level,"The number of people in a geographic area who are part of a family (which could be just them as an individual) determined to be ""in poverty"" following the Office of Management and Budget's Directive 14. (https://www.census.gov/hhes/povmeas/methodology/ombdir14.html)",2,sum,9,
-317,,,us.census.acs.B19013001,Numeric,Median Household Income in the past 12 Months,"Within a geographic area, the median income received by every household on a regular basis before payments for personal income taxes, social security, union dues, medicare deductions, etc.  It includes income received from wages, salary, commissions, bonuses, and tips; self-employment income from own nonfarm or farm businesses, including proprietorships and partnerships; interest, dividends, net rental income, royalty income, or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); any cash public assistance or welfare payments from the state or local welfare office; retirement, survivor, or disability benefits; and any other sources of income received regularly such as Veterans' (VA) payments, unemployment and/or worker's compensation, child support, and alimony.",8,median,9,
-318,,,us.census.acs.B19083001,Numeric,Gini Index,"The Gini index, or index of income concentration, is a statistical measure of income inequality ranging from 0 to 1. A measure of 1 indicates perfect inequality, i.e., one household having all the income and rest having none. A measure of 0 indicates perfect equality, i.e., all households having an equal share of income.",5,,9,
-319,,,us.census.acs.B19301001,Numeric,Per Capita Income in the past 12 Months,"Per capita income is the mean income computed for every man, woman, and child in a particular group. It is derived by dividing the total income of a particular group by the total population.",7,average,9,
-320,,,us.census.acs.B25001001,Numeric,Housing Units,"A count of housing units in each geography.  A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters.",8,sum,9,
-321,,,us.census.acs.B25034010,Numeric,Housing units built before 1939,"A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built in 1939 or earlier.",1,sum,9,
-347,,,us.census.acs.B01002001,Numeric,Median Age,The median age of all people in a given geographic area.,2,median,9,
-590,,,us.census.tiger.school_district_unified_geoid,Text,Unified School District Geoids,,0,,6,
-322,,,us.census.acs.B25002003,Numeric,Vacant Housing Units,"The count of vacant housing units in a geographic area. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",8,sum,9,
-323,,,us.census.acs.B25004004,Numeric,Vacant Housing Units for Sale,"The count of vacant housing units in a geographic area that are for sale. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",7,sum,9,
-324,,,us.census.acs.B25004002,Numeric,Vacant Housing Units for Rent,"The count of vacant housing units in a geographic area that are for rent. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",7,sum,9,
-325,,,us.census.acs.B25058001,Numeric,Median Rent,"The median contract rent within a geographic area. The contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent asked for the rental unit at the time of interview.",8,median,9,
-326,,,us.census.acs.B25071001,Numeric,Percent of Household Income Spent on Rent,"Within a geographic area, the median percentage of household income which was spent on gross rent.  Gross rent is the amount of the contract rent plus the estimated average monthly cost of utilities (electricity, gas, water, sewer etc.) and fuels (oil, coal, wood, etc.) if these are paid by the renter.  Household income is the sum of the income of all people 15 years and older living in the household.",4,average,9,
-327,,,us.census.acs.B25075001,Numeric,Owner-occupied Housing Units,,5,sum,9,
-328,,,us.census.acs.B25081002,Numeric,Owner-occupied Housing Units with a Mortgage,"The count of housing units within a geographic area that are mortagaged. ""Mortgage"" refers to all forms of debt where the property is pledged as security for repayment of the debt, including deeds of trust, trust deed, contracts to purchase, land contracts, junior mortgages, and home equity loans.",4,sum,9,
-329,,,us.census.acs.B25075025,Numeric,"Owner-occupied Housing Units valued at $1,000,000 or more.","The count of owner occupied housing units in a geographic area that are valued at $1,000,000 or more.  Value is the respondent's estimate of how much the property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale.",5,sum,9,
-330,,,us.census.acs.B23008002,Numeric,Families with young children (under 6 years of age),,0,sum,9,
-331,,,us.census.acs.B23008010,Numeric,"One-parent families, father in labor force, with young children (under 6 years of age)",,0,sum,9,
-332,,,us.census.acs.B23008003,Numeric,Two-parent families with young children (under 6 years of age),,0,sum,9,
-333,,,us.census.acs.B23008004,Numeric,"Two-parent families, both parents in labor force with young children (under 6 years of age)",,0,sum,9,
-334,,,us.census.acs.B23008005,Numeric,"Two-parent families, father only in labor force with young children (under 6 years of age)",,0,sum,9,
-335,,,us.census.acs.B23008006,Numeric,"Two-parent families, mother only in labor force with young children (under 6 years of age)",,0,sum,9,
-336,,,us.census.acs.B23008007,Numeric,"Two-parent families, neither parent in labor force with young children (under 6 years of age)",,0,sum,9,
-337,,,us.census.acs.B23008008,Numeric,One-parent families with young children (under 6 years of age),,0,sum,9,
-338,,,us.census.acs.B23008009,Numeric,"One-parent families, father, with young children (under 6 years of age)",,0,sum,9,
-339,,,us.census.acs.B23025001,Numeric,Population age 16 and over,The number of people in each geography who are age 16 or over.,1,sum,9,
-457,,,us.census.acs.B01001025,Numeric,Male age 85 and over,The male population of the age of eighty-five years and over within the specified area.,1,sum,9,
-340,,,us.census.acs.B23025007,Numeric,Population Not in Labor Force,"The number of people in each geography who are 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, homemakers, retired workers, seasonal workers interviewed in an off season who were not looking for work, institutionalized people, and people doing only incidental unpaid family work (less than 15 hours during the reference week).",1,sum,9,
-341,,,us.census.acs.B23025002,Numeric,Population in Labor Force,"The number of people in each geography who are either in the civilian labor force or are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,sum,9,
-342,,,us.census.acs.B23025006,Numeric,Population in Armed Forces,"The number of people in each geography who are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,sum,9,
-343,,,us.census.acs.B23025003,Numeric,Population in Civilian Labor Force,"The number of civilians 16 years and over in each geography who can be classified as either ""employed"" or ""unemployed"" below.",1,sum,9,
-344,,,us.census.acs.B23025005,Numeric,Unemployed Population,"The number of civilians in each geography who are 16 years old and over are classified as unemployed if they (1) were neither ""at work"" nor ""with a job but not at work"" during the reference week, and (2) were actively looking for work during the last 4 weeks, and (3) were available to start a job. Also included as unemployed are civilians who did not work at all during the reference week, were waiting to be called back to a job from which they had been laid off, and were available for work except for temporary illness. Examples of job seeking activities are:
+94,,,us.census.acs.B01001B012_quantile,Numeric,Quantile:Black Men age 45 to 54,,1,quantile,4,
+95,,,us.census.acs.B01001B013_quantile,Numeric,Quantile:Black Men age 55 to 64,,1,quantile,4,
+96,,,us.census.acs.B01001I012_quantile,Numeric,Quantile:Hispanic Men age 45 to 54,,1,quantile,4,
+97,,,us.census.acs.B01001I013_quantile,Numeric,Quantile:Hispanic Men age 55 to 64,,1,quantile,4,
+98,,,us.census.acs.B01001H012_quantile,Numeric,Quantile:White Men age 45 to 54,,1,quantile,4,
+99,,,us.census.acs.B01001H013_quantile,Numeric,Quantile:White Men age 55 to 64,,1,quantile,4,
+100,,,us.census.acs.B01001D012_quantile,Numeric,Quantile:Asian Men age 45 to 54,,1,quantile,4,
+101,,,us.census.acs.B01001D013_quantile,Numeric,Quantile:Asian Men age 55 to 64,,1,quantile,4,
+102,,,us.census.acs.B15001028_quantile,Numeric,Quantile:Men age 45 to 64 who attained less than a 9th grade education,,1,quantile,4,
+103,,,us.census.acs.B15001029_quantile,Numeric,"Quantile:Men age 45 to 64 who attained between 9th and 12th grade, no diploma",,1,quantile,4,
+104,,,us.census.acs.B15001030_quantile,Numeric,Quantile:Men age 45 to 64 who completed high school or obtained GED,,1,quantile,4,
+105,,,us.census.acs.B15001031_quantile,Numeric,"Quantile:Men age 45 to 64 who completed some college, no degree",,1,quantile,4,
+106,,,us.census.acs.B15001032_quantile,Numeric,Quantile:Men age 45 to 64 who obtained an associate's degree,,1,quantile,4,
+107,,,us.census.acs.B15001033_quantile,Numeric,Quantile:Men age 45 to 64 who obtained a bachelor's degree,,1,quantile,4,
+108,,,us.census.acs.B15001034_quantile,Numeric,Quantile:Men age 45 to 64 who obtained a graduate or professional degree,,1,quantile,4,
+109,,,us.census.acs.B23008010_quantile,Numeric,"Quantile:One-parent families, father in labor force, with young children (under 6 years of age)",,1,quantile,4,
+110,,,us.census.acs.B12005001_quantile,Numeric,Quantile:Population 15 Years and Over,The number of people in a geographic area who are over the age of 15.  This is used mostly as a denominator of marital status.,1,quantile,4,
+111,,,us.census.acs.B12005002_quantile,Numeric,Quantile:Never Married,The number of people in a geographic area who have never been married.,1,quantile,4,
+112,,,us.census.acs.B12005005_quantile,Numeric,Quantile:Currently married,The number of people in a geographic area who are currently married,1,quantile,4,
+113,,,us.census.acs.B12005008_quantile,Numeric,Quantile:Married but separated,The number of people in a geographic area who are married but separated,1,quantile,4,
+114,,,us.census.acs.B12005012_quantile,Numeric,Quantile:Widowed,The number of people in a geographic area who are widowed,1,quantile,4,
+115,,,us.census.acs.B12005015_quantile,Numeric,Quantile:Divorced,The number of people in a geographic area who are divorced,1,quantile,4,
+116,,,us.census.acs.B08134001_quantile,Numeric,Quantile:Workers age 16 and over who do not work from home,The number of workers over the age of 16 who do not work from home in a geographic area,1,quantile,4,
+117,,,us.census.acs.B08134002_quantile,Numeric,Quantile:Number of workers with less than 10 minute commute,The number of workers over the age of 16 who do not work from home and commute in less than 10 minutes in a geographic area,1,quantile,4,
+118,,,us.census.acs.B08303004_quantile,Numeric,Quantile:Number of workers with a commute between 10 and 14 minutes,The number of workers over the age of 16 who do not work from home and commute in between 10 and 14 minutes in a geographic area,1,quantile,4,
+119,,,us.census.acs.B08303005_quantile,Numeric,Quantile:Number of workers with a commute between 15 and 19 minutes,The number of workers over the age of 16 who do not work from home and commute in between 15 and 19 minutes in a geographic area,1,quantile,4,
+120,,,us.census.acs.B08303006_quantile,Numeric,Quantile:Number of workers with a commute between 20 and 24 minutes,The number of workers over the age of 16 who do not work from home and commute in between 20 and 24 minutes in a geographic area,1,quantile,4,
+121,,,us.census.acs.B08303007_quantile,Numeric,Quantile:Number of workers with a commute between 25 and 29 minutes,The number of workers over the age of 16 who do not work from home and commute in between 25 and 29 minutes in a geographic area,1,quantile,4,
+122,,,us.census.acs.B08303008_quantile,Numeric,Quantile:Number of workers with a commute between 30 and 34 minutes,The number of workers over the age of 16 who do not work from home and commute in between 30 and 34 minutes in a geographic area,1,quantile,4,
+123,,,us.census.acs.B08303011_quantile,Numeric,Quantile:Number of workers with a commute between 45 and 59 minutes,The number of workers over the age of 16 who do not work from home and commute in between 45 and 59 minutes in a geographic area,1,quantile,4,
+124,,,us.census.acs.B19001009_quantile,Numeric,"Quantile:Households with income of $40,000 To $44,999","The number of households in a geographic area whose annual income was between $40,000 and $44,999.",1,quantile,4,
+125,,,us.census.acs.B19001010_quantile,Numeric,"Quantile:Households with income of $45,000 To $49,999","The number of households in a geographic area whose annual income was between $45,000 and $49,999.",1,quantile,4,
+126,,,us.census.acs.B19001011_quantile,Numeric,"Quantile:Households with income of $50,000 To $59,999","The number of households in a geographic area whose annual income was between $50,000 and $59,999.",1,quantile,4,
+127,,,us.census.acs.B19001012_quantile,Numeric,"Quantile:Households with income of $60,000 To $74,999","The number of households in a geographic area whose annual income was between $60,000 and $74,999.",1,quantile,4,
+128,,,us.census.acs.B19001013_quantile,Numeric,"Quantile:Households with income of $75,000 To $99,999","The number of households in a geographic area whose annual income was between $75,000 and $99,999.",1,quantile,4,
+129,,,us.census.acs.B19001014_quantile,Numeric,"Quantile:Households with income of $100,000 To $124,999","The number of households in a geographic area whose annual income was between $100,000 and $124,999.",1,quantile,4,
+130,,,us.census.acs.B19001015_quantile,Numeric,"Quantile:Households with income of $125,000 To $149,999","The number of households in a geographic area whose annual income was between $125,000 and $149,999.",1,quantile,4,
+131,,,us.census.acs.B19001016_quantile,Numeric,"Quantile:Households with income of $150,000 To $199,999","The number of households in a geographic area whose annual income was between $150,000 and $1999,999.",1,quantile,4,
+132,,,us.census.acs.B25076001_quantile,Numeric,Quantile:Owner-Occupied Housing Units Lower Value Quartile,,1,quantile,4,
+133,,,us.census.acs.B25077001_quantile,Numeric,Quantile:Owner-Occupied Housing Units Median Value,,1,quantile,4,
+134,,,us.census.acs.B25078001_quantile,Numeric,Quantile:Owner-Occupied Housing Units Upper Value Quartile,,1,quantile,4,
+135,,,us.census.acs.B07009002_quantile,Numeric,Quantile:Less than high school graduate,,1,quantile,4,
+136,,,us.census.acs.B07009003_quantile,Numeric,"Quantile:Population with high school degree, including GED",,1,quantile,4,
+137,,,us.census.acs.B07009004_quantile,Numeric,Quantile:Population who completed some college or obtained associate's degree,,1,quantile,4,
+138,,,us.census.acs.B07009005_quantile,Numeric,Quantile:Population who completed a bachelor's degree. From mobility table.,,1,quantile,4,
+139,,,us.census.acs.B07009006_quantile,Numeric,Quantile:Population who completed a graduate or professional degree,,1,quantile,4,
+140,,,us.census.acs.B09005005_quantile,Numeric,Quantile:Children under 18 years of age in single female-led household,,1,quantile,4,
+141,,,us.census.acs.B11001003_quantile,Numeric,Quantile:Married households,,1,quantile,4,
+142,,,us.census.acs.B11009003_quantile,Numeric,Quantile:Households with two male partners,,1,quantile,4,
+143,,,us.census.acs.B11009005_quantile,Numeric,Quantile:Households with two female partners,,1,quantile,4,
+144,,,us.census.acs.B25003001_quantile,Numeric,Quantile:Renter occupied housing units,,1,quantile,4,
+145,,,us.census.acs.B16001005_quantile,Numeric,"Quantile:Speaks Spanish at Home, speaks English less than ""very well""",,1,quantile,4,
+146,,,us.census.acs.B25003003_quantile,Numeric,Quantile:Renter occupied housing units,,1,quantile,4,
+147,,,us.census.acs.B25024002_quantile,Numeric,Quantile:Single-family (one unit) detached dwellings,,1,quantile,4,
+148,,,us.census.acs.B25024003_quantile,Numeric,Quantile:Single-family (one unit) detached dwellings,,1,quantile,4,
+149,,,us.census.acs.B25024004_quantile,Numeric,Quantile:Two-family (two unit) dwellings,,1,quantile,4,
+150,,,us.census.acs.B25024005_quantile,Numeric,Quantile:Multifamily dwellings with three to 4 units,,1,quantile,4,
+151,,,us.census.acs.B25024006_quantile,Numeric,Quantile:Apartment buildings with 5 to 9 units,,1,quantile,4,
+152,,,us.census.acs.B25024007_quantile,Numeric,Quantile:Apartment buildings with 10 to 19 units,,1,quantile,4,
+153,,,us.census.acs.B25024008_quantile,Numeric,Quantile:Apartment buildings with 20 to 49 units,,1,quantile,4,
+154,,,us.census.acs.B25024009_quantile,Numeric,Quantile:Apartment buildings with 50 or more units,,1,quantile,4,
+155,,,us.census.acs.B25024010_quantile,Numeric,Quantile:Mobile homes,,1,quantile,4,
+156,,,us.census.acs.B25034002_quantile,Numeric,Quantile:Housing units built in 2005 or later,,1,quantile,4,
+157,,,us.census.acs.B25034003_quantile,Numeric,Quantile:Housing units built between 2000 and 2004,,1,quantile,4,
+158,,,us.census.acs.B25034010_quantile,Numeric,Quantile:Housing units built before 1939,,1,quantile,4,
+159,,,us.census.acs.C24050002_quantile,Numeric,"Quantile:Workers employed in firms in agriculture, forestry, fishing, hunting, or mining",,1,quantile,4,
+160,,,us.census.acs.C24050003_quantile,Numeric,Quantile:Workers employed in firms in construction,,1,quantile,4,
+161,,,us.census.acs.C24050004_quantile,Numeric,Quantile:Workers employed in firms in manufacturing,,1,quantile,4,
+162,,,us.census.acs.C24050005_quantile,Numeric,Quantile:Workers employed in firms in wholesale trade,,1,quantile,4,
+163,,,us.census.acs.C24050006_quantile,Numeric,Quantile:Workers employed in firms in retail trade,,1,quantile,4,
+164,,,us.census.acs.C24050007_quantile,Numeric,"Quantile:Workers employed in firms in transportation, warehousing, and utilities",,1,quantile,4,
+165,,,us.census.acs.C24050008_quantile,Numeric,Quantile:Workers employed in firms in information,,1,quantile,4,
+166,,,us.census.acs.C24050009_quantile,Numeric,"Quantile:Workers employed in firms in finance, insurance, real estate and rental and leasing",,1,quantile,4,
+167,,,us.census.acs.C24050010_quantile,Numeric,"Quantile:Workers employed in firms in professional scientific, management, administrative and waste management services",,1,quantile,4,
+168,,,us.census.acs.C24050011_quantile,Numeric,"Quantile:Workers employed in firms in educational services, health care, and social assistance",,1,quantile,4,
+169,,,us.census.acs.C24050012_quantile,Numeric,"Quantile:Workers employed in firms in arts, entertainment, recreation, accommodation and food services",,1,quantile,4,
+170,,,us.census.acs.C24050013_quantile,Numeric,Quantile:Workers employed in firms in other services except public administration,,1,quantile,4,
+171,,,us.census.acs.C24050014_quantile,Numeric,Quantile:Workers employed in firms in public administration,,1,quantile,4,
+172,,,us.census.acs.C24050015_quantile,Numeric,Quantile:Workers employed in management business science and arts occupations,,1,quantile,4,
+173,,,es.ine.t5_9,Numeric,"Persons with Spanish nationality who were born in Central America, South America or the Caribbean ",,5,sum,0,
+174,,,es.ine.t5_11,Numeric,Persons with Spanish nationality who were born in North America,,5,sum,0,
+175,,,es.ine.t5_13,Numeric,Persons with Spanish nationality who were born in Asia,,5,sum,0,
+176,,,es.ine.t5_15,Numeric,Persons with Spanish nationality who were born in Oceania,,5,sum,0,
+177,,,es.ine.t7_1,Numeric,Males under 16 years of age,,5,sum,0,
+178,,,es.ine.t7_2,Numeric,Males between 16 (included) and 64 (included) years of age,,5,sum,0,
+179,,,es.ine.t7_3,Numeric,Males over 64 years of age,,5,sum,0,
+180,,,es.ine.t7_4,Numeric,Females under 16 years of age,,5,sum,0,
+181,,,es.ine.t7_5,Numeric,Females between 16 (included) and 64 (included) years of age,,5,sum,0,
+182,,,es.ine.t7_6,Numeric,Females over 64 years of age,,5,sum,0,
+183,,,es.ine.t8_1,Numeric,Males with Spanish nationality,,5,sum,0,
+184,,,es.ine.t8_2,Numeric,Males with a foreign nationality,,5,sum,0,
+186,,,es.ine.t8_4,Numeric,Females with a foreign nationality,,5,sum,0,
+187,,,es.ine.t9_1,Numeric,Persons with Spanish nationality and under 16 years of age,,5,sum,0,
+188,,,es.ine.t9_2,Numeric,Persons with a foreign nationality and under 16 years of age,,5,sum,0,
+189,,,es.ine.t9_3,Numeric,Persons with Spanish nationality and between 16 (included) and 64 (included) years of age,,5,sum,0,
+190,,,es.ine.t9_4,Numeric,Persons with a foreign nationality and between 16 (included) and 64 (included) years of age,,5,sum,0,
+191,,,es.ine.t9_5,Numeric,Persons with Spanish nationality and over 64 years of age,,5,sum,0,
+192,,,us.census.acs.C24050043_quantile,Numeric,Quantile:Workers employed in sales and office occupations,,1,quantile,4,
+193,,,es.ine.t9_6,Numeric,Persons with a foreign nationality and over 64 years of age,,5,sum,0,
+194,,,es.ine.t10_1,Numeric,Persons with marital status: single ,,5,sum,0,
+195,,,es.ine.t11_3,Numeric,Persons with marital status: single and over 64 years of age,,5,sum,0,
+196,,,es.ine.t10_2,Numeric,Persons with marital status: married,,5,sum,0,
+197,,,us.census.acs.C24050057_quantile,Numeric,"Quantile:Workers employed in natural resources, construction, and maintenance occupations",,1,quantile,4,
+198,,,us.census.acs.C24050071_quantile,Numeric,"Quantile:Workers employed in production, transportation, and material moving",,1,quantile,4,
+199,,,us.census.acs.B01001003_quantile,Numeric,Quantile:Male under 5 years,,1,quantile,4,
+200,,,us.census.acs.B01001004_quantile,Numeric,Quantile:Male age 10 to 14,,1,quantile,4,
+201,,,us.census.acs.B01001006_quantile,Numeric,Quantile:Male age 15 to 17,,1,quantile,4,
+202,,,us.census.acs.B01001007_quantile,Numeric,Quantile:Male age 18 and 19,,1,quantile,4,
+203,,,us.census.acs.B01001008_quantile,Numeric,Quantile:Male age 20,,1,quantile,4,
+204,,,us.census.acs.B01001009_quantile,Numeric,Quantile:Male age 21,,1,quantile,4,
+205,,,us.census.acs.B01001010_quantile,Numeric,Quantile:Male age 22 to 24,,1,quantile,4,
+206,,,us.census.acs.B01001011_quantile,Numeric,Quantile:Male age 25 to 29,,1,quantile,4,
+207,,,us.census.acs.B01001012_quantile,Numeric,Quantile:Male age 30 to 34,,1,quantile,4,
+208,,,us.census.acs.B01001013_quantile,Numeric,Quantile:Male age 35 to 39,,1,quantile,4,
+209,,,us.census.acs.B01001014_quantile,Numeric,Quantile:Male age 40 to 44,,1,quantile,4,
+210,,,us.census.acs.B15001027_quantile,Numeric,"Quantile:Men age 45 to 64 (""middle aged"")",,1,quantile,4,
+211,,,us.census.acs.B01001015_quantile,Numeric,Quantile:Men age 45 to 49,,1,quantile,4,
+212,,,us.census.acs.B01001016_quantile,Numeric,Quantile:Men age 50 to 54,,1,quantile,4,
+213,,,us.census.acs.B01001017_quantile,Numeric,Quantile:Men age 55 to 59,,1,quantile,4,
+214,,,us.census.acs.B01001018_quantile,Numeric,Quantile:Men age 60 to 61,,1,quantile,4,
+215,,,us.census.acs.B01001019_quantile,Numeric,Quantile:Men age 62 to 64,,1,quantile,4,
+216,,,us.census.acs.B01001020_quantile,Numeric,Quantile:Male age 65 to 66,,1,quantile,4,
+217,,,us.census.acs.B01001021_quantile,Numeric,Quantile:Male age 67 to 69,,1,quantile,4,
+218,,,us.census.acs.B01001022_quantile,Numeric,Quantile:Male age 70 to 74,,1,quantile,4,
+219,,,us.census.acs.B01001023_quantile,Numeric,Quantile:Male age 75 to 79,,1,quantile,4,
+220,,,us.census.acs.B01001024_quantile,Numeric,Quantile:Male age 80 to 84,,1,quantile,4,
+221,,,us.census.acs.B01001025_quantile,Numeric,Quantile:Male age 85 and over,,1,quantile,4,
+222,,,us.census.acs.B01001027_quantile,Numeric,Quantile:Female under 5 years,,1,quantile,4,
+223,,,us.census.acs.B01001028_quantile,Numeric,Quantile:Female age 5 to 9,,1,quantile,4,
+224,,,us.census.acs.B01001029_quantile,Numeric,Quantile:Female age 10 to 14,,1,quantile,4,
+225,,,us.census.acs.B01001030_quantile,Numeric,Quantile:Female age 15 to 17,,1,quantile,4,
+226,,,us.census.acs.B01001031_quantile,Numeric,Quantile:Female age 18 and 19,,1,quantile,4,
+227,,,us.census.acs.B01001032_quantile,Numeric,Quantile:Female age 20,,1,quantile,4,
+228,,,us.census.acs.B01001033_quantile,Numeric,Quantile:Female age 21,,1,quantile,4,
+229,,,us.census.acs.B01001034_quantile,Numeric,Quantile:Female age 22 to 24,,1,quantile,4,
+230,,,us.census.acs.B01001035_quantile,Numeric,Quantile:Female age 25 to 29,,1,quantile,4,
+231,,,us.census.acs.B01001036_quantile,Numeric,Quantile:Female age 30 to 34,,1,quantile,4,
+232,,,us.census.acs.B01001037_quantile,Numeric,Quantile:Female age 35 to 39,,1,quantile,4,
+233,,,us.census.acs.B01001038_quantile,Numeric,Quantile:Female age 40 to 44,,1,quantile,4,
+234,,,us.census.acs.B01001039_quantile,Numeric,Quantile:Female age 45 to 49,,1,quantile,4,
+235,,,us.census.acs.B01001040_quantile,Numeric,Quantile:Female age 50 to 54,,1,quantile,4,
+236,,,us.census.acs.B01001041_quantile,Numeric,Quantile:Female age 55 to 59,,1,quantile,4,
+237,,,us.census.acs.B01001042_quantile,Numeric,Quantile:Female age 60 and 61,,1,quantile,4,
+238,,,us.census.acs.B01001043_quantile,Numeric,Quantile:Female age 62 to 64,,1,quantile,4,
+239,,,us.census.acs.B01001044_quantile,Numeric,Quantile:Female age 65 to 66,,1,quantile,4,
+240,,,us.census.acs.B01001045_quantile,Numeric,Quantile:Female age 67 to 69,,1,quantile,4,
+241,,,us.census.acs.B01001046_quantile,Numeric,Quantile:Female age 70 to 74,,1,quantile,4,
+242,,,us.census.acs.B01001047_quantile,Numeric,Quantile:Female age 75 to 79,,1,quantile,4,
+243,,,us.census.acs.B01001048_quantile,Numeric,Quantile:Female age 80 to 84,,1,quantile,4,
+244,,,us.census.acs.B01001049_quantile,Numeric,Quantile:Female age 85 and over,,1,quantile,4,
+245,,,us.census.acs.B02001002_quantile,Numeric,Quantile:White including Hispanic,,1,quantile,4,
+246,,,us.census.acs.B02001003_quantile,Numeric,Quantile:Black including Hispanic,,1,quantile,4,
+247,,,us.census.acs.B02001004_quantile,Numeric,Quantile:American Indian including Hispanic,,1,quantile,4,
+248,,,us.census.acs.B02001005_quantile,Numeric,Quantile:Asian including Hispanic,,1,quantile,4,
+249,,,us.census.acs.B03001003_quantile,Numeric,Quantile:Hispanic of any race,,1,quantile,4,
+250,,,us.census.acs.B08303003_quantile,Numeric,Quantile:Number of workers with a commute between 5 and 9 minutes,,1,quantile,4,
+251,,,us.census.acs.B08303009_quantile,Numeric,Quantile:Number of workers with a commute between 35 and 39 minutes,,1,quantile,4,
+252,,,us.census.acs.B08303010_quantile,Numeric,Quantile:Number of workers with a commute between 40 and 44 minutes,,1,quantile,4,
+253,,,es.ine.t11_6,Numeric,Persons with marital status: married and over 64 years of age,,5,sum,0,
+255,,,es.ine.t11_9,Numeric,Persons with marital status: separated and over 64 years of age,,5,sum,0,
+256,,,es.ine.t10_4,Numeric,Persons with marital status: divorced,,5,sum,0,
+257,,,es.ine.t11_12,Numeric,Persons with marital status: divorced and over 64 years of age,,5,sum,0,
+258,,,us.census.acs.B08303012_quantile,Numeric,Quantile:Number of workers with a commute between 60 and 89 minutes,,1,quantile,4,
+259,,,us.census.acs.B08303013_quantile,Numeric,Quantile:Number of workers with a commute of more than 90 minutes,,1,quantile,4,
+260,,,es.ine.t10_5,Numeric,Persons with marital status: widowed,,5,sum,0,
+261,,,es.ine.t11_15,Numeric,Persons with marital status: widowed and over 64 years of age,,5,sum,0,
+262,,,es.ine.t11_1,Numeric,Persons with marital status: single and under 16 years of age,,5,sum,0,
+263,,,es.ine.t11_2,Numeric,Persons with marital status: single and between 16 (included) and 64 (included) years of age,,5,sum,0,
+264,,,es.ine.t11_4,Numeric,Persons with marital status: married and under 16 years of age,,5,sum,0,
+265,,,es.ine.t11_5,Numeric,Persons with marital status: married and between 16 (included) and 64 (included) years of age,,5,sum,0,
+266,,,es.ine.t11_7,Numeric,Persons with marital status: separated and under 16 years of age,,5,sum,0,
+267,,,es.ine.t11_8,Numeric,Persons with marital status: separated and between 16 (included) and 64 (included) years of age,,5,sum,0,
+268,,,es.ine.t11_10,Numeric,Persons with marital status: divorced and under 16 years of age,,5,sum,0,
+269,,,es.ine.t11_11,Numeric,Persons with marital status: divorced and between 16 (included) and 64 (included) years of age,,5,sum,0,
+270,,,es.ine.t11_13,Numeric,Persons with marital status: widowed and under 16 years of age,,5,sum,0,
+271,,,es.ine.t11_14,Numeric,Persons with marital status: widowed and between 16 (included) and 64 (included) years of age,,5,sum,0,
+272,,,es.ine.t12_1,Numeric,Illiterate persons,,5,sum,0,
+273,,,es.ine.t15_3,Numeric,Persons aged over 64 years and illiterate,,5,sum,0,
+274,,,es.ine.t12_2,Numeric,Persons without studies,,5,sum,0,
+275,,,es.ine.t15_6,Numeric,Persons aged over 64 years and without studies,,5,sum,0,
+276,,,es.ine.t12_3,Numeric,Persons with first level studies,,5,sum,0,
+277,,,es.ine.t12_4,Numeric,Persons with second level studies,,5,sum,0,
+278,,,es.ine.t14_8,Numeric,Persons with a foreign nationality and with second level studies,,5,sum,0,
+279,,,es.ine.t12_6,Numeric,Persons without information regarding their educational level (aged under 16 years),,5,sum,0,
+280,,,es.ine.t13_1,Numeric,Illiterate males,,5,sum,0,
+281,,,es.ine.t13_2,Numeric,Illiterate females,,5,sum,0,
+282,,,es.ine.t13_3,Numeric,Males without studies,,5,sum,0,
+283,,,es.ine.t13_4,Numeric,Females without studies,,5,sum,0,
+284,,,es.ine.t13_5,Numeric,Males with first level studies,,5,sum,0,
+285,,,es.ine.t13_6,Numeric,Females with first level studies,,5,sum,0,
+286,,,es.ine.t13_7,Numeric,Males with second level studies,,5,sum,0,
+287,,,es.ine.t13_8,Numeric,Females with second level studies,,5,sum,0,
+288,,,es.ine.t13_9,Numeric,Males with third level studies,,5,sum,0,
+289,,,es.ine.t13_10,Numeric,Females with third level studies,,5,sum,0,
+290,,,us.ny.nyc.opendata.party_type,Integer,Party Type,,0,,4,
+291,,,es.ine.t14_1,Numeric,Persons with Spanish nationality and illiterate,,5,sum,0,
+292,,,es.ine.t14_2,Numeric,Persons with a foreign nationality and illiterate,,5,sum,0,
+293,,,es.ine.t14_3,Numeric,Persons with Spanish nationality and without studies,,5,sum,0,
+294,,,es.ine.t14_4,Numeric,Persons with a foreign nationality and without studies,,5,sum,0,
+295,,,es.ine.t14_5,Numeric,Persons with Spanish nationality and with first level studies,,5,sum,0,
+296,,,es.ine.t14_6,Numeric,Persons with a foreign nationality and with first level studies,,5,sum,0,
+297,,,es.ine.t14_7,Numeric,Persons with Spanish nationality and with second level studies,,5,sum,0,
+298,,,es.ine.t14_9,Numeric,Persons with Spanish nationality and with third level studies,,5,sum,0,
+299,,,es.ine.t14_11,Numeric,Persons with Spanish nationality without information regarding their educational level (under 16 years of age),,1,sum,0,
+300,,,es.ine.t15_2,Numeric,Persons aged between 16 (included) and 64 (included) years and illiterate,,5,sum,0,
+301,,,es.ine.t15_5,Numeric,Persons aged between 16 (included) and 64 (included) years and without studies,,5,sum,0,
+302,,,es.ine.t15_8,Numeric,Persons aged between 16 (included) and 64 (included) years and with first level studies,,5,sum,0,
+303,,,es.ine.t15_9,Numeric,Persons aged over 64 years and with first level studies,,5,sum,0,
+304,,,es.ine.t15_11,Numeric,Persons aged between 16 (included) and 64 (included) years and with second level studies,,5,sum,0,
+305,,,es.ine.t15_12,Numeric,Persons aged over 64 years and with second level studies,,5,sum,0,
+306,,,es.ine.t16_1,Numeric,Total dwellings,,5,sum,0,
+307,,,es.ine.t20_9,Numeric,Dwellings with 9 or more rooms,,5,sum,0,
+308,,,es.ine.t17_1,Numeric,Main dwellings,,5,sum,0,
+309,,,es.ine.t17_2,Numeric,Secondary dwellings,,5,sum,0,
+310,,,es.ine.t17_3,Numeric,Empty dwellings,,5,sum,0,
+311,,,es.ine.t18_1,Numeric,"Dwellings owned, by purchase, totally paid",,5,sum,0,
+312,,,es.ine.t18_2,Numeric,"Dwellings owned, by purchase, with outstanding",,5,sum,0,
+313,,,es.ine.t18_3,Numeric,"Dwellings owned, by inheritance or donation",,5,sum,0,
+314,,,es.ine.t18_4,Numeric,Dwellings rented,,5,sum,0,
+315,,,es.ine.t18_5,Numeric,Dwellings transferred for free or at low cost,,5,sum,0,
+316,,,es.ine.t18_6,Numeric,Dwellings with another tenancy regime,,5,sum,0,
+317,,,es.ine.t19_1,Numeric,Dwellings with less than 30m2,,5,sum,0,
+318,,,es.ine.t19_2,Numeric,Dwellings between 30-45 m2,,5,sum,0,
+319,,,es.ine.t19_3,Numeric,Dwellings between 46-60 m2,,5,sum,0,
+320,,,es.ine.t19_4,Numeric,Dwellings between 61-75 m2,,5,sum,0,
+321,,,es.ine.t19_5,Numeric,Dwellings between 76-90 m2,,5,sum,0,
+322,,,es.ine.t19_6,Numeric,Dwellings between 91-105 m2,,5,sum,0,
+323,,,es.ine.t19_7,Numeric,Dwellings between 106-120 m2,,5,sum,0,
+324,,,es.ine.t19_8,Numeric,Dwellings between 121-150 m2,,5,sum,0,
+325,,,es.ine.t19_9,Numeric,Dwellings between 151-180 m2,,5,sum,0,
+326,,,es.ine.t19_10,Numeric,Dwellings with more than 180 m2,,5,sum,0,
+327,,,es.ine.t20_1,Numeric,Dwellings with 1 room,,5,sum,0,
+328,,,es.ine.t20_2,Numeric,Dwellings with 2 rooms,,5,sum,0,
+329,,,es.ine.t20_3,Numeric,Dwellings with 3 rooms,,5,sum,0,
+330,,,es.ine.t20_4,Numeric,Dwellings with 4 rooms,,5,sum,0,
+331,,,es.ine.t20_5,Numeric,Dwellings with 5 rooms,,5,sum,0,
+332,,,es.ine.t20_6,Numeric,Dwellings with 6 rooms,,5,sum,0,
+333,,,es.ine.t20_7,Numeric,Dwellings with 7 rooms,,5,sum,0,
+334,,,es.ine.t20_8,Numeric,Dwellings with 8 rooms,,5,sum,0,
+335,,,es.ine.t21_1,Numeric,Total households,,5,sum,0,
+336,,,es.ine.t22_6,Numeric,Households with 6 or more persons,,5,sum,0,
+337,,,es.ine.t22_1,Numeric,Households with 1 person,,5,sum,0,
+338,,,es.ine.t22_2,Numeric,Households with 2 persons,,5,sum,0,
+339,,,es.ine.t22_3,Numeric,Households with 3 persons,,5,sum,0,
+340,,,es.ine.t22_4,Numeric,Households with 4 persons,,5,sum,0,
+341,,,es.ine.t22_5,Numeric,Households with 5 persons,,5,sum,0,
+342,,,es.ine.gender,Text,Gender,,0,,6,
+343,,,es.ine.pop_90_94,Numeric,Population age 90 to 94,,3,,6,
+344,,,es.ine.pop_95_99,Numeric,Population age 95 to 99,,3,,6,
+345,,,us.census.acs.B25064001_quantile,Numeric,Quantile:Renter-Occupied Housing Units Paying Cash Rent Median Gross Rent,,1,quantile,4,
+346,,,es.ine.cusec_id,Text,Sección Censal,,0,,5,
+347,,,us.census.acs.C24050029_quantile,Numeric,Quantile:Workers employed in service occupations,,1,quantile,4,
+348,,,us.census.acs.B19058002_quantile,Numeric,Quantile:Households on cash public assistance or receiving food stamps (SNAP),,1,quantile,4,
+349,,,us.census.acs.B19059002_quantile,Numeric,Quantile:Households receiving retirement income,,1,quantile,4,
+350,,,us.census.acs.B07204001_quantile,Numeric,Quantile:Population 1 year and over,,1,quantile,4,
+351,,,us.census.acs.B07204004_quantile,Numeric,Quantile:Lived in a different house one year ago in the same city,,1,quantile,4,
+352,,,us.census.acs.B07204007_quantile,Numeric,Quantile:Lived in a different house one year ago in a different city,,1,quantile,4,
+353,,,us.census.acs.B26001001_quantile,Numeric,Quantile:Population living in group quarters,,1,quantile,4,
+354,,,us.census.acs.B08014002_quantile,Numeric,Quantile:Workers age 16 and over with no vehicle,,1,quantile,4,
+355,,,us.census.tiger.block_group_geoid,Text,US Census Block Groups Geoids,,0,,6,
+356,,,us.census.tiger.congressional_district_geoid,Text,US Congressional Districts Geoids,,0,,6,
+357,,,us.census.tiger.puma_clipped,Geometry,Shoreline clipped US Census Public Use Microdata Areas,A cartography-ready version of US Census Public Use Microdata Areas,6,,8,
+358,,,us.census.tiger.school_district_secondary_clipped,Geometry,Shoreline clipped Secondary School District,A cartography-ready version of Secondary School District,3,,8,
+359,,,us.census.tiger.place_clipped,Geometry,Shoreline clipped Incorporated Places,A cartography-ready version of Incorporated Places,0,,8,
+360,,,us.census.tiger.zcta5_clipped,Geometry,Shoreline clipped US Census Zip Code Tabulation Areas,A cartography-ready version of US Census Zip Code Tabulation Areas,6,,8,
+361,,,us.census.tiger.school_district_elementary_clipped,Geometry,Shoreline clipped Elementary School District,A cartography-ready version of Elementary School District,3,,8,
+362,,,us.census.tiger.school_district_unified_clipped,Geometry,Shoreline clipped Unified School District,A cartography-ready version of Unified School District,5,,8,
+363,,,us.census.tiger.block_clipped,Geometry,Shoreline clipped US Census Blocks,A cartography-ready version of US Census Blocks,0,,8,
+364,,,us.census.acs.B01003001,Numeric,Total Population,The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.,10,sum,10,
+365,,,us.census.acs.B15001034,Numeric,Men age 45 to 64 who obtained a graduate or professional degree,,0,sum,10,
+366,,,us.census.acs.B01001002,Numeric,Male Population,The number of people within each geography who are male.,8,sum,10,
+367,,,us.census.acs.B01001026,Numeric,Female Population,The number of people within each geography who are female.,8,sum,10,
+368,,,us.census.acs.C24050015,Numeric,Workers employed in management business science and arts occupations,,0,sum,10,
+369,,,us.census.acs.B02001002,Numeric,White including Hispanic,,0,sum,10,
+370,,,us.census.acs.B01002001,Numeric,Median Age,The median age of all people in a given geographic area.,2,median,10,
+371,,,es.ine.the_geom,Geometry,Sección Censal,The smallest division of the Spanish Census.,10,,5,
+372,,,us.census.acs.B03002003,Numeric,White Population,"The number of people identifying as white, non-Hispanic in each geography.",7,sum,10,
+373,,,us.census.acs.B03002004,Numeric,Black or African American Population,"The number of people identifying as black or African American, non-Hispanic in each geography.",7,sum,10,
+374,,,us.census.acs.B03002006,Numeric,Asian Population,"The number of people identifying as Asian, non-Hispanic in each geography.",7,sum,10,
+375,,,us.census.acs.B03002012,Numeric,Hispanic Population,The number of people identifying as Hispanic or Latino in each geography.,7,sum,10,
+376,,,us.census.acs.B01001002_quantile,Numeric,Quantile:Male Population,The number of people within each geography who are male.,1,quantile,4,
+377,,,us.census.acs.B03002005,Numeric,American Indian and Alaska Native Population,The number of people identifying as American Indian or Alaska native in each geography.,1,sum,10,
+378,,,us.census.acs.B03002008,Numeric,Other Race population,The number of people identifying as another race in each geography,1,sum,10,
+379,,,us.census.acs.B03002009,Numeric,Two or more races population,The number of people identifying as two or more races in each geography,1,sum,10,
+380,,,us.census.acs.B03002002,Numeric,Population not Hispanic,The number of people not identifying as Hispanic or Latino in each geography.,1,sum,10,
+381,,,us.census.acs.B05001006,Numeric,Not a U.S. Citizen Population,The number of people within each geography who indicated that they are not U.S. citizens.,3,sum,10,
+382,,,us.census.acs.B08006001,Numeric,Workers over the Age of 16,"The number of people in each geography who work. Workers include those employed at private for-profit companies, the self-employed, government workers and non-profit employees.",5,sum,10,
+383,,,us.census.acs.B08014002,Numeric,Workers age 16 and over with no vehicle,All people in a geographic area over the age of 16 who do not own a car.,1,,10,
+384,,,us.census.acs.B08006002,Numeric,"Commuters by Car, Truck, or Van","The number of workers age 16 years and over within  a geographic area who primarily traveled to work by car, truck or  van.  This is the principal mode of travel or type of conveyance,  by distance rather than time, that the worker usually used to get  from home to work.",4,sum,10,
+385,,,us.census.acs.B08006004,Numeric,Commuters by Carpool,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by carpool.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",2,sum,10,
+386,,,us.census.acs.B08006003,Numeric,Commuters who drove alone,"The number of workers age 16 years and over within a geographic area who primarily traveled by car driving alone. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",2,sum,10,
+387,,,us.census.acs.B08006011,Numeric,Commuters by Subway or Elevated,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by subway or elevated train.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",3,sum,10,
+388,,,us.census.acs.B08301010,Numeric,Commuters by Public Transportation,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",4,sum,10,
+389,,,us.census.acs.B08006009,Numeric,Commuters by Bus,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by bus.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.  This is a subset of workers who commuted by public transport.",3,sum,10,
+390,,,us.census.acs.B08006015,Numeric,Walked to Work,"The number of workers age 16 years and over within a geographic area who primarily walked to work.  This would mean that of any way of getting to work, they travelled the most distance walking.",4,sum,10,
+391,,,us.census.acs.B08006017,Numeric,Worked at Home,The count within a geographical area of workers over the age of 16 who worked at home.,4,sum,10,
+392,,,us.census.acs.B09001001,Numeric,Children under 18 Years of Age,The number of people within each geography who are under 18 years of age.,4,sum,10,
+393,,,us.census.acs.B09005005,Numeric,Children under 18 years of age in single female-led household,,1,sum,10,
+394,,,us.census.acs.B11001001,Numeric,Households,"A count of the number of households in each geography. A household consists of one or more people who live in the same dwelling and also share at meals or living accommodation, and may consist of a single family or some other grouping of people. ",8,sum,10,
+395,,,us.census.acs.B19059002,Numeric,Households receiving retirement income,,0,sum,10,
+396,,,us.census.acs.B14001001,Numeric,Population 3 Years and Over,The total number of people in each geography age 3 years and over.  This denominator is mostly used to calculate rates of school enrollment.,4,sum,10,
+482,,,us.census.acs.B19001010,Numeric,"Households with income of $45,000 To $49,999","The number of households in a geographic area whose annual income was between $45,000 and $49,999.",2,sum,10,
+397,,,us.census.acs.B14001002,Numeric,Students Enrolled in School,"The total number of people in each geography currently enrolled at any level of school, from nursery or pre-school to advanced post-graduate education.  Only includes those over the age of 3.",6,sum,10,
+398,,,us.census.acs.B14001008,Numeric,Students Enrolled as Undergraduate in College,"The number of people in a geographic area who are enrolled in college at the undergraduate level. Enrollment refers to being registered or listed as a student in an educational program leading to a college degree. This may be a public school or college, a private school or college.",5,sum,10,
+399,,,us.census.acs.B14001005,Numeric,Students Enrolled in Grades 1 to 4,The total number of people in each geography currently enrolled in grades 1 through 4 inclusive.  This corresponds roughly to elementary school.,3,sum,10,
+400,,,us.census.acs.B14001006,Numeric,Students Enrolled in Grades 5 to 8,The total number of people in each geography currently enrolled in grades 5 through 8 inclusive.  This corresponds roughly to middle school.,3,sum,10,
+401,,,us.census.acs.B14001007,Numeric,Students Enrolled in Grades 9 to 12,The total number of people in each geography currently enrolled in grades 9 through 12 inclusive.  This corresponds roughly to high school.,3,sum,10,
+402,,,us.census.acs.B07009006,Numeric,Population who completed a graduate or professional degree,,0,sum,10,
+403,,,us.census.acs.B15003001,Numeric,Population 25 Years and Over,The number of people in a geographic area who are over the age of 25.  This is used mostly as a denominator of educational attainment.,2,sum,10,
+404,,,us.census.acs.B15003017,Numeric,Population Completed High School,"The number of people in a geographic area over the age of 25 who completed high school, and did not complete a more advanced degree.",4,sum,10,
+405,,,us.census.acs.B15003019,Numeric,"Population completed less than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for less than one year and no further.,4,sum,10,
+406,,,us.census.acs.B15003020,Numeric,"Population completed more than one year of college, no degree",The number of people in a geographic area over the age of 25 who attended college for more than one year but did not obtain a degree,4,sum,10,
+407,,,us.census.acs.B15003021,Numeric,Population Completed Associate's Degree,"The number of people in a geographic area over the age of 25 who obtained a associate's degree, and did not complete a more advanced degree.",4,sum,10,
+408,,,us.census.acs.B15003022,Numeric,Population Completed Bachelor's Degree,"The number of people in a geographic area over the age of 25 who obtained a bachelor's degree, and did not complete a more advanced degree.",4,sum,10,
+409,,,us.census.acs.B15003023,Numeric,Population Completed Master's Degree,"The number of people in a geographic area over the age of 25 who obtained a master's degree, but did not complete a more advanced degree.",4,sum,10,
+410,,,us.census.acs.B16001001,Numeric,Population 5 Years and Over,The number of people in a geographic area who are over the age of 5.  This is primarily used as a denominator of measures of language spoken at home.,2,sum,10,
+411,,,us.census.acs.B16001005,Numeric,"Speaks Spanish at Home, speaks English less than ""very well""",,0,sum,10,
+412,,,us.census.acs.B16001002,Numeric,Speaks only English at Home,The number of people in a geographic area over age 5 who speak only English at home.,3,sum,10,
+413,,,us.census.acs.B16001003,Numeric,Speaks Spanish at Home,"The number of people in a geographic area over age 5 who speak Spanish at home, possibly in addition to other languages.",4,sum,10,
+414,,,us.census.acs.B17001001,Numeric,Population for Whom Poverty Status Determined,"The number of people in each geography who could be identified as either living in poverty or not.  This should be used as the denominator when calculating poverty rates, as it excludes people for whom it was not possible to determine poverty.",2,sum,10,
+415,,,us.census.acs.B17001002,Numeric,Income In The Past 12 Months Below Poverty Level,"The number of people in a geographic area who are part of a family (which could be just them as an individual) determined to be ""in poverty"" following the Office of Management and Budget's Directive 14. (https://www.census.gov/hhes/povmeas/methodology/ombdir14.html)",2,sum,10,
+416,,,us.census.acs.B19013001,Numeric,Median Household Income in the past 12 Months,"Within a geographic area, the median income received by every household on a regular basis before payments for personal income taxes, social security, union dues, medicare deductions, etc.  It includes income received from wages, salary, commissions, bonuses, and tips; self-employment income from own nonfarm or farm businesses, including proprietorships and partnerships; interest, dividends, net rental income, royalty income, or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); any cash public assistance or welfare payments from the state or local welfare office; retirement, survivor, or disability benefits; and any other sources of income received regularly such as Veterans' (VA) payments, unemployment and/or worker's compensation, child support, and alimony.",8,median,10,
+417,,,us.census.acs.B19083001,Numeric,Gini Index,"The Gini index, or index of income concentration, is a statistical measure of income inequality ranging from 0 to 1. A measure of 1 indicates perfect inequality, i.e., one household having all the income and rest having none. A measure of 0 indicates perfect equality, i.e., all households having an equal share of income.",5,,10,
+418,,,us.census.acs.B19301001,Numeric,Per Capita Income in the past 12 Months,"Per capita income is the mean income computed for every man, woman, and child in a particular group. It is derived by dividing the total income of a particular group by the total population.",7,average,10,
+419,,,us.census.acs.B25001001,Numeric,Housing Units,"A count of housing units in each geography.  A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters.",8,sum,10,
+420,,,us.census.acs.B25034010,Numeric,Housing units built before 1939,"A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built in 1939 or earlier.",1,sum,10,
+483,,,us.census.acs.B19001011,Numeric,"Households with income of $50,000 To $59,999","The number of households in a geographic area whose annual income was between $50,000 and $59,999.",2,sum,10,
+536,,,us.census.acs.B01001008,Numeric,Male age 20,The male population with an age of twenty years within the specified area.,1,sum,10,
+421,,,us.census.acs.B25002003,Numeric,Vacant Housing Units,"The count of vacant housing units in a geographic area. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",8,sum,10,
+422,,,us.census.acs.B25004004,Numeric,Vacant Housing Units for Sale,"The count of vacant housing units in a geographic area that are for sale. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",7,sum,10,
+423,,,us.census.acs.B25004002,Numeric,Vacant Housing Units for Rent,"The count of vacant housing units in a geographic area that are for rent. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.",7,sum,10,
+424,,,us.census.acs.B25058001,Numeric,Median Rent,"The median contract rent within a geographic area. The contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent asked for the rental unit at the time of interview.",8,median,10,
+425,,,us.census.acs.B25071001,Numeric,Percent of Household Income Spent on Rent,"Within a geographic area, the median percentage of household income which was spent on gross rent.  Gross rent is the amount of the contract rent plus the estimated average monthly cost of utilities (electricity, gas, water, sewer etc.) and fuels (oil, coal, wood, etc.) if these are paid by the renter.  Household income is the sum of the income of all people 15 years and older living in the household.",4,average,10,
+426,,,us.census.acs.B25075001,Numeric,Owner-occupied Housing Units,,5,sum,10,
+427,,,us.census.acs.B25081002,Numeric,Owner-occupied Housing Units with a Mortgage,"The count of housing units within a geographic area that are mortagaged. ""Mortgage"" refers to all forms of debt where the property is pledged as security for repayment of the debt, including deeds of trust, trust deed, contracts to purchase, land contracts, junior mortgages, and home equity loans.",4,sum,10,
+428,,,us.census.acs.B25075025,Numeric,"Owner-occupied Housing Units valued at $1,000,000 or more.","The count of owner occupied housing units in a geographic area that are valued at $1,000,000 or more.  Value is the respondent's estimate of how much the property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale.",5,sum,10,
+429,,,us.census.acs.B23008002,Numeric,Families with young children (under 6 years of age),,0,sum,10,
+430,,,us.census.acs.B23008010,Numeric,"One-parent families, father in labor force, with young children (under 6 years of age)",,0,sum,10,
+431,,,us.census.acs.B23008003,Numeric,Two-parent families with young children (under 6 years of age),,0,sum,10,
+432,,,us.census.acs.B23008004,Numeric,"Two-parent families, both parents in labor force with young children (under 6 years of age)",,0,sum,10,
+433,,,us.census.acs.B23008005,Numeric,"Two-parent families, father only in labor force with young children (under 6 years of age)",,0,sum,10,
+434,,,us.census.acs.B23008006,Numeric,"Two-parent families, mother only in labor force with young children (under 6 years of age)",,0,sum,10,
+435,,,us.census.acs.B23008007,Numeric,"Two-parent families, neither parent in labor force with young children (under 6 years of age)",,0,sum,10,
+436,,,us.census.acs.B23008008,Numeric,One-parent families with young children (under 6 years of age),,0,sum,10,
+437,,,us.census.acs.B23008009,Numeric,"One-parent families, father, with young children (under 6 years of age)",,0,sum,10,
+438,,,us.census.acs.B23025001,Numeric,Population age 16 and over,The number of people in each geography who are age 16 or over.,1,sum,10,
+439,,,us.census.acs.B23025007,Numeric,Population Not in Labor Force,"The number of people in each geography who are 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, homemakers, retired workers, seasonal workers interviewed in an off season who were not looking for work, institutionalized people, and people doing only incidental unpaid family work (less than 15 hours during the reference week).",1,sum,10,
+440,,,us.census.acs.B23025002,Numeric,Population in Labor Force,"The number of people in each geography who are either in the civilian labor force or are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,sum,10,
+441,,,us.census.acs.B23025006,Numeric,Population in Armed Forces,"The number of people in each geography who are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,sum,10,
+442,,,us.census.acs.B23025003,Numeric,Population in Civilian Labor Force,"The number of civilians 16 years and over in each geography who can be classified as either ""employed"" or ""unemployed"" below.",1,sum,10,
+443,,,us.census.acs.B23025005,Numeric,Unemployed Population,"The number of civilians in each geography who are 16 years old and over are classified as unemployed if they (1) were neither ""at work"" nor ""with a job but not at work"" during the reference week, and (2) were actively looking for work during the last 4 weeks, and (3) were available to start a job. Also included as unemployed are civilians who did not work at all during the reference week, were waiting to be called back to a job from which they had been laid off, and were available for work except for temporary illness. Examples of job seeking activities are:
               * Registering at a public or private employment office
               * Meeting with prospective employers
               * Investigating possibilities for starting a professional
                 practice or opening a business
               * Placing or answering advertisements
               * Writing letters of application
-              * Being on a union or professional register",1,sum,9,
-345,,,us.census.acs.B15001034,Numeric,Men age 45 to 64 who obtained a graduate or professional degree,,0,sum,9,
-346,,,us.census.acs.B01001002,Numeric,Male Population,The number of people within each geography who are male.,8,sum,9,
-348,,,us.census.acs.B23025004,Numeric,Employed Population,"The number of civilians 16 years old and over in each geography who either (1) were ""at work,"" that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were ""with a job but not at work,"" that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.",1,sum,9,
-349,,,us.census.acs.C24050071,Numeric,"Workers employed in production, transportation, and material moving",,0,sum,9,
-350,,,us.census.acs.B01001B012,Numeric,Black Men age 45 to 54,,0,sum,9,
-351,,,us.census.acs.B01001B013,Numeric,Black Men age 55 to 64,,0,sum,9,
-352,,,us.census.acs.B01001I012,Numeric,Hispanic Men age 45 to 54,,0,sum,9,
-353,,,us.census.acs.B01001I013,Numeric,Hispanic Men age 55 to 64,,0,sum,9,
-354,,,us.census.acs.B01001H012,Numeric,White Men age 45 to 54,,0,sum,9,
-355,,,us.census.acs.B01001H013,Numeric,White Men age 55 to 64,,0,sum,9,
-356,,,us.census.acs.B01001D012,Numeric,Asian Men age 45 to 54,,0,sum,9,
-357,,,us.census.acs.B01001D013,Numeric,Asian Men age 55 to 64,,0,sum,9,
-358,,,us.census.acs.B15001028,Numeric,Men age 45 to 64 who attained less than a 9th grade education,,0,sum,9,
-359,,,us.census.acs.B15001032,Numeric,Men age 45 to 64 who obtained an associate's degree,,0,sum,9,
-360,,,us.census.acs.B15001033,Numeric,Men age 45 to 64 who obtained a bachelor's degree,,0,sum,9,
-361,,,us.census.acs.B12005001,Numeric,Population 15 Years and Over,The number of people in a geographic area who are over the age of 15.  This is used mostly as a denominator of marital status.,2,sum,9,
-362,,,us.census.acs.B12005015,Numeric,Divorced,The number of people in a geographic area who are divorced,2,sum,9,
-363,,,us.census.acs.B12005002,Numeric,Never Married,The number of people in a geographic area who have never been married.,2,sum,9,
-364,,,us.census.acs.B12005005,Numeric,Currently married,The number of people in a geographic area who are currently married,2,sum,9,
-365,,,us.census.acs.B12005008,Numeric,Married but separated,The number of people in a geographic area who are married but separated,2,sum,9,
-366,,,us.census.acs.B12005012,Numeric,Widowed,The number of people in a geographic area who are widowed,2,sum,9,
-367,,,us.census.acs.B08134001,Numeric,Workers age 16 and over who do not work from home,The number of workers in a geographic area over the age of 16 who do not work from home,2,sum,9,
-368,,,us.census.acs.B08135001,Numeric,Aggregate travel time to work,The total number of minutes every worker in a geographic area over the age of 16 who did not work from home spent spent commuting to work in one day,0,sum,9,
-369,,,us.census.acs.B08134002,Numeric,Number of workers with less than 10 minute commute,The number of workers in a geographic area over the age of 16 who do not work from home and commute in less than 10 minutes.,2,sum,9,
-370,,,us.census.acs.B08303004,Numeric,Number of workers with a commute between 10 and 14 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 10 and 14 minutes. ,2,sum,9,
-371,,,us.census.acs.B08303005,Numeric,Number of workers with a commute between 15 and 19 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 15 and 19 minutes. ,2,sum,9,
-458,,,us.census.acs.B01001027,Numeric,Female under 5 years,The female population over the age of five years within the specified area.,1,sum,9,
-374,,,us.census.acs.B08303008,Numeric,Number of workers with a commute between 30 and 34 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 30 and 34 minutes. ,2,sum,9,
-375,,,us.census.acs.B08303011,Numeric,Number of workers with a commute between 45 and 59 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 45 and 59 minutes. ,2,sum,9,
-376,,,us.census.acs.B19001005,Numeric,"Households with income of $20,000 To $24,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",2,sum,9,
-377,,,us.census.acs.B19001006,Numeric,"Households with income of $25,000 To $29,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",2,sum,9,
-378,,,us.census.acs.B19001007,Numeric,"Households with income of $30,000 To $34,999","The number of households in a geographic area whose annual income was between $30,000 and $34,999.",2,sum,9,
-379,,,us.census.acs.B19001008,Numeric,"Households with income of $35,000 To $39,999","The number of households in a geographic area whose annual income was between $35,000 and $39,999.",2,sum,9,
-380,,,us.census.acs.B19001009,Numeric,"Households with income of $40,000 To $44,999","The number of households in a geographic area whose annual income was between $40,000 and $44,999.",2,sum,9,
-381,,,us.census.acs.B19001010,Numeric,"Households with income of $45,000 To $49,999","The number of households in a geographic area whose annual income was between $45,000 and $49,999.",2,sum,9,
-382,,,us.census.acs.B19001011,Numeric,"Households with income of $50,000 To $59,999","The number of households in a geographic area whose annual income was between $50,000 and $59,999.",2,sum,9,
-383,,,us.census.acs.B19001012,Numeric,"Households with income of $60,000 To $74,999","The number of households in a geographic area whose annual income was between $60,000 and $74,999.",2,sum,9,
-384,,,us.census.acs.B19001013,Numeric,"Households with income of $75,000 To $99,999","The number of households in a geographic area whose annual income was between $75,000 and $99,999.",2,sum,9,
-385,,,us.census.acs.B19001014,Numeric,"Households with income of $100,000 To $124,999","The number of households in a geographic area whose annual income was between $100,000 and $124,999.",2,sum,9,
-386,,,us.census.acs.B19001015,Numeric,"Households with income of $125,000 To $149,999","The number of households in a geographic area whose annual income was between $125,000 and $149,999.",2,sum,9,
-387,,,us.census.acs.B19001016,Numeric,"Households with income of $150,000 To $199,999","The number of households in a geographic area whose annual income was between $150,000 and $1999,999.",2,sum,9,
-388,,,us.census.acs.B19001017,Numeric,"Households with income of $200,000 Or More","The number of households in a geographic area whose annual income was more than $200,000.",2,sum,9,
-389,,,us.census.acs.B25064001,Numeric,Renter-Occupied Housing Units Paying Cash Rent Median Gross Rent,,0,median,9,
-390,,,us.census.acs.B25076001,Numeric,Owner-Occupied Housing Units Lower Value Quartile,,0,,9,
-391,,,us.census.acs.B25077001,Numeric,Owner-Occupied Housing Units Median Value,The middle value (median) in a geographic area owner occupied housing units.,1,median,9,
-392,,,us.census.acs.B25078001,Numeric,Owner-Occupied Housing Units Upper Value Quartile,,0,,9,
-393,,,us.census.acs.B07009002,Numeric,Less than high school graduate,The number of people in a geographic area over the age of 25 who have not completed high school or any other advanced degree.,1,sum,9,
-394,,,us.census.acs.B07009003,Numeric,"Population with high school degree, including GED",The number of people in a geographic area over the age of 25 who attained a high school degree or GED.,1,sum,9,
-395,,,us.census.acs.B07009004,Numeric,Population who completed some college or obtained associate's degree,"The number of people in a geographic area over the age of 25 who obtained an associate's degree, and did not complete a more advanced degree.",1,sum,9,
-396,,,us.census.acs.B07009005,Numeric,Population who completed a bachelor's degree. From mobility table.,,0,sum,9,
-397,,,us.census.acs.B11001003,Numeric,Married households,"People in formal marriages, as well as people in common-law marriages, are included. Does not include same-sex marriages.",1,,9,
-398,,,us.census.acs.B11009003,Numeric,Households with two male partners,"An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has an intimate relationship with the householder.",1,,9,
-399,,,us.census.acs.B11009005,Numeric,Households with two female partners,"An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has an intimate relationship with the householder.",1,,9,
-400,,,us.census.acs.B25003001,Numeric,Renter occupied housing units,A housing unit is classified as occupied if it is the usual place of residence of the person or group of people living in it at the time of enumeration.,1,sum,9,
-401,,,us.census.acs.B25003003,Numeric,Renter occupied housing units,"All occupied units which are not owner occupied, whether they are rented for cash rent or occupied without payment of cash rent, are classified as renter-occupied.",1,sum,9,
-402,,,us.census.acs.B25024002,Numeric,Single-family (one unit) detached dwellings,,0,sum,9,
-403,,,us.census.acs.B25024003,Numeric,Single-family (one unit) detached dwellings,,0,sum,9,
-404,,,us.census.acs.B25024004,Numeric,Two-family (two unit) dwellings,,0,sum,9,
-405,,,us.census.acs.B25024005,Numeric,Multifamily dwellings with three to 4 units,,0,sum,9,
-406,,,us.census.acs.B25024006,Numeric,Apartment buildings with 5 to 9 units,,0,sum,9,
-407,,,us.census.acs.B25024007,Numeric,Apartment buildings with 10 to 19 units,,0,sum,9,
-408,,,us.census.acs.B25024008,Numeric,Apartment buildings with 20 to 49 units,,0,sum,9,
-409,,,us.census.acs.B25024009,Numeric,Apartment buildings with 50 or more units,,0,sum,9,
-459,,,us.census.acs.B01001028,Numeric,Female age 5 to 9,The female population between the age of five years to nine years within the specified area.,1,sum,9,
-460,,,us.census.acs.B01001029,Numeric,Female age 10 to 14,The female population between the age of ten years to fourteen years within the specified area.,1,sum,9,
-410,,,us.census.acs.B25024010,Numeric,Mobile homes,"A manufactured home is defined as a movable dwelling, 8 feet or more wide and 40 feet or more long, designed to be towed on its own chassis, with transportation gear integral to the unit when it leaves the factory, and without need of a permanent foundation. These homes are built in accordance with the U.S. Department of Housing and Urban Development (HUD) building code.",1,sum,9,
-411,,,us.census.acs.B25034002,Numeric,Housing units built in 2005 or later,"A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built in 2005 or later.",1,sum,9,
-412,,,us.census.acs.B25034003,Numeric,Housing units built between 2000 and 2004,"A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built from 2000 to 2004.",1,sum,9,
-413,,,us.census.acs.C24050002,Numeric,"Workers employed in firms in agriculture, forestry, fishing, hunting, or mining","The Agriculture, Forestry, Fishing and Hunting sector comprises establishments primarily engaged in growing crops, raising animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats.",1,sum,9,
-414,,,us.census.acs.C24050003,Numeric,Workers employed in firms in construction,"The Construction sector comprises establishments primarily engaged in the construction of buildings or engineering projects (e.g., highways and utility systems). Construction work done may include new work, additions, alterations, or maintenance and repairs.",1,sum,9,
-415,,,us.census.acs.C24050004,Numeric,Workers employed in firms in manufacturing,"The Manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products.",1,sum,9,
-474,,,us.census.acs.B01001043,Numeric,Female age 62 to 64,The female population between the age of sixty-two years to sixty-four years within the specified area.,1,sum,9,
-475,,,us.census.acs.B01001044,Numeric,Female age 65 to 66,The female population between the age of sixty-five years to sixty-six years within the specified area.,1,sum,9,
-476,,,us.census.acs.B01001045,Numeric,Female age 67 to 69,The female population between the age of sixty-seven years to sixty-nine years within the specified area.,1,sum,9,
-416,,,us.census.acs.C24050005,Numeric,Workers employed in firms in wholesale trade,"The Wholesale Trade sector comprises establishments engaged in wholesaling merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The wholesaling process is an intermediate step in the distribution of merchandise. Wholesalers are organized to sell or arrange the purchase or sale of (a) goods for resale (i.e., goods sold to other wholesalers or retailers), (b) capital or durable nonconsumer goods, and (c) raw and intermediate materials and supplies used in production.",1,sum,9,
-417,,,us.census.acs.C24050006,Numeric,Workers employed in firms in retail trade,"The Retail Trade sector comprises establishments engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The retailing process is the final step in the distribution of merchandise; retailers are, therefore, organized to sell merchandise in small quantities to the general public.",1,sum,9,
-418,,,us.census.acs.C24050007,Numeric,"Workers employed in firms in transportation, warehousing, and utilities","The Transportation and Warehousing sector includes industries providing transportation of passengers and cargo, warehousing and storage for goods, scenic and sightseeing transportation, and support activities related to modes of transportation. The modes of transportation are air, rail, water, road, and pipeline.",1,sum,9,
-419,,,us.census.acs.C24050008,Numeric,Workers employed in firms in information,"The Information sector comprises establishments engaged in the following processes: (a) producing and distributing information and cultural products, (b) providing the means to transmit or distribute these products as well as data or communications, and (c) processing data. Included are the publishing industries, the motion picture and sound recording industries; the broadcasting industries, the telecommunications industries; Web search portals, data processing industries, and the information services industries.",1,sum,9,
-420,,,us.census.acs.C24050009,Numeric,"Workers employed in firms in finance, insurance, real estate and rental and leasing","The Real Estate and Rental and Leasing sector comprises establishments primarily engaged in renting, leasing, or otherwise allowing the use of tangible or intangible assets, and establishments providing related services. The major portion of this sector comprises establishments that rent, lease, or otherwise allow the use of their own assets by others. The assets may be tangible, as is the case of real estate and equipment, or intangible, as is the case with patents and trademarks.",1,sum,9,
-421,,,us.census.acs.C24050010,Numeric,"Workers employed in firms in professional scientific, management, administrative and waste management services","The Administrative and Support and Waste Management and Remediation Services sector comprises establishments performing routine support activities for the day-to-day operations of other organizations. The establishments in this sector specialize in one or more of these support activities and provide these services to clients in a variety of industries and, in some cases, to households. Activities performed include office administration, hiring and placing of personnel, document preparation and similar clerical services, solicitation, collection, security and surveillance services, cleaning, and waste disposal services.",1,sum,9,
-422,,,us.census.acs.C24050011,Numeric,"Workers employed in firms in educational services, health care, and social assistance","Outpatient health services, other than hospital care, including: public health administration; research and education; categorical health programs; treatment and immunization clinics; nursing; environmental health activities such as air and water pollution control; ambulance service if provided separately from fire protection services, and other general public health activities such as mosquito abatement. School health services provided by health agencies (rather than school agencies) are included here. Sewage treatment operations are classified under Sewerage.",1,sum,9,
-423,,,us.census.acs.C24050012,Numeric,"Workers employed in firms in arts, entertainment, recreation, accommodation and food services","The Arts, Entertainment, and Recreation sector includes a wide range of establishments that operate facilities or provide services to meet varied cultural, entertainment, and recreational interests of their patrons. This sector comprises (1) establishments that are involved in producing, promoting, or participating in live performances, events, or exhibits intended for public viewing; (2) establishments that preserve and exhibit objects and sites of historical, cultural, or educational interest; and (3) establishments that operate facilities or provide services that enable patrons to participate in recreational activities or pursue amusement, hobby, and leisure-time interests.",1,sum,9,
-461,,,us.census.acs.B01001030,Numeric,Female age 15 to 17,The female population between the age of fifteeen years to seventeen years within the specified area.,1,sum,9,
-462,,,us.census.acs.B01001031,Numeric,Female age 18 and 19,The female population between the age of eighteen years to nineteen years within the specified area.,1,sum,9,
-424,,,us.census.acs.C24050013,Numeric,Workers employed in firms in other services except public administration,"The Other Services (Except Public Administration) sector comprises establishments engaged in providing services not specifically provided for elsewhere in the classification system. Establishments in this sector are primarily engaged in activities such as equipment and machinery repairing, promoting or administering religious activities, grantmaking, advocacy, and providing drycleaning and laundry services, personal care services, death care services, pet care services, photofinishing services, temporary parking services, and dating services. Private households that engage in employing workers on or about the premises in activities primarily concerned with the operation of the household are included in this sector.",1,sum,9,
-425,,,us.census.acs.B08134008,Numeric,Number of workers with a commute between 35 and 44 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 35 and 44 minutes. ,2,sum,9,
-426,,,us.census.acs.B08134010,Numeric,Number of workers with a commute of over 60 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in over 60 minutes.,2,sum,9,
-427,,,us.census.acs.B19001002,Numeric,"Households with income less than $10,000","The number of households in a geographic area whose annual income was less than $10,000.",2,sum,9,
-428,,,us.census.acs.B19001003,Numeric,"Households with income of $10,000 to $14,999","The number of households in a geographic area whose annual income was between $10,000 and $14,999.",2,sum,9,
-429,,,us.census.acs.B19001004,Numeric,"Households with income of $15,000 to $19,999","The number of households in a geographic area whose annual income was between $15,000 and $19,999.",2,sum,9,
-430,,,us.census.acs.C24050014,Numeric,Workers employed in firms in public administration,"The Public Administration sector consists of establishments of federal, state, and local government agencies that administer, oversee, and manage public programs and have executive, legislative, or judicial authority over other institutions within a given area. These agencies also set policy, create laws, adjudicate civil and criminal legal cases, provide for public safety and for national defense. In general, government establishments in the public administration sector oversee governmental programs and activities that are not performed by private establishments.",1,sum,9,
-432,,,us.census.acs.C24050029,Numeric,Workers employed in service occupations,,0,sum,9,
-433,,,us.census.acs.C24050043,Numeric,Workers employed in sales and office occupations,,0,sum,9,
-434,,,us.census.acs.C24050057,Numeric,"Workers employed in natural resources, construction, and maintenance occupations",,0,sum,9,
-435,,,us.census.acs.B01001003,Numeric,Male under 5 years,The male population over the age of five years within the specified area.,1,sum,9,
-436,,,us.census.acs.B01001004,Numeric,Male age 10 to 14,The male population between the age of ten years to fourteen years within the specified area.,1,sum,9,
-437,,,us.census.acs.B01001006,Numeric,Male age 15 to 17,The male population between the age of fifteeen years to seventeen years within the specified area.,1,sum,9,
-438,,,us.census.acs.B01001007,Numeric,Male age 18 and 19,The male population between the age of eighteen years to nineteen years within the specified area.,1,sum,9,
-439,,,us.census.acs.B01001008,Numeric,Male age 20,The male population with an age of twenty years within the specified area.,1,sum,9,
-440,,,us.census.acs.B01001009,Numeric,Male age 21,The male population with an age of twenty-one years within the specified area.,1,sum,9,
-441,,,us.census.acs.B01001010,Numeric,Male age 22 to 24,The male population between the age of twenty-two years to twenty-four years within the specified area.,1,sum,9,
-442,,,us.census.acs.B01001011,Numeric,Male age 25 to 29,The male population between the age of twenty-five years to twenty-nine years within the specified area.,1,sum,9,
-443,,,us.census.acs.B01001012,Numeric,Male age 30 to 34,The male population between the age of thirty years to thirty-four years within the specified area.,1,sum,9,
-444,,,us.census.acs.B01001013,Numeric,Male age 35 to 39,The male population between the age of thirty-five years to thirty-nine years within the specified area.,1,sum,9,
-445,,,us.census.acs.B01001014,Numeric,Male age 40 to 44,The male population between the age of fourty years to fourty-four years within the specified area.,1,sum,9,
-446,,,us.census.acs.B15001027,Numeric,"Men age 45 to 64 (""middle aged"")",The male population between the age of fourty-five years to sixty-four years within the specified area.,1,sum,9,
-447,,,us.census.acs.B01001016,Numeric,Men age 50 to 54,The male population between the age of fifty years to fifty-four years within the specified area.,1,sum,9,
-448,,,us.census.acs.B01001017,Numeric,Men age 55 to 59,The male population between the age of fifty-five years to fifty-nine years within the specified area.,1,sum,9,
-449,,,us.census.acs.B01001018,Numeric,Men age 60 to 61,The male population between the age of sixty years to sixty-one years within the specified area.,1,sum,9,
-450,,,us.census.acs.B03002006,Numeric,Asian Population,"The number of people identifying as Asian, non-Hispanic in each geography.",7,sum,9,
-451,,,us.census.acs.B01001019,Numeric,Men age 62 to 64,The male population between the age of sixty-two years to sixty-four years within the specified area.,1,sum,9,
-452,,,us.census.acs.B01001020,Numeric,Male age 65 to 66,The male population between the age of sixty-five years to sixty-six years within the specified area.,1,sum,9,
-453,,,us.census.acs.B01001021,Numeric,Male age 67 to 69,The male population between the age of sixty-seven years to sixty-nine years within the specified area.,1,sum,9,
-454,,,us.census.acs.B01001022,Numeric,Male age 70 to 74,The male population between the age of seventy years to seventy-four years within the specified area.,1,sum,9,
-455,,,us.census.acs.B01001023,Numeric,Male age 75 to 79,The male population between the age of seventy-five years to seventy-nine years within the specified area.,1,sum,9,
-456,,,us.census.acs.B01001024,Numeric,Male age 80 to 84,The male population between the age of eighty years to eighty-four years within the specified area.,1,sum,9,
-463,,,us.census.acs.B01001032,Numeric,Female age 20,The female population with an age of twenty years within the specified area.,1,sum,9,
-464,,,us.census.acs.B01001033,Numeric,Female age 21,The female population with an age of twenty-one years within the specified area.,1,sum,9,
-465,,,us.census.acs.B01001034,Numeric,Female age 22 to 24,The female population between the age of twenty-two years to twenty-four years within the specified area.,1,sum,9,
-466,,,us.census.acs.B01001035,Numeric,Female age 25 to 29,The female population between the age of twenty-five years to twenty-nine years within the specified area.,1,sum,9,
-467,,,us.census.acs.B01001036,Numeric,Female age 30 to 34,The female population between the age of thirty years to thirty-four years within the specified area.,1,sum,9,
-468,,,us.census.acs.B01001037,Numeric,Female age 35 to 39,The female population between the age of thirty-five years to thirty-nine years within the specified area.,1,sum,9,
-469,,,us.census.acs.B01001038,Numeric,Female age 40 to 44,The female population between the age of fourty years to fourty-four years within the specified area.,1,sum,9,
-470,,,us.census.acs.B01001039,Numeric,Female age 45 to 49,The female population between the age of fourty-five years to fourty-nine years within the specified area.,1,sum,9,
-471,,,us.census.acs.B01001040,Numeric,Female age 50 to 54,The female population between the age of fifty years to fifty-four years within the specified area.,1,sum,9,
-472,,,us.census.acs.B01001041,Numeric,Female age 55 to 59,The female population between the age of fifty-five years to fifty-nine years within the specified area.,1,sum,9,
-473,,,us.census.acs.B01001042,Numeric,Female age 60 and 61,The female population between the age of sixty years to sixty-one years within the specified area.,1,sum,9,
-477,,,us.census.acs.B01001046,Numeric,Female age 70 to 74,The female population between the age of seventy years to seventy-four years within the specified area.,1,sum,9,
-478,,,us.census.acs.B01001047,Numeric,Female age 75 to 79,The female population between the age of seventy-five years to seventy-nine years within the specified area.,1,sum,9,
-479,,,us.census.acs.B01001048,Numeric,Female age 80 to 84,The female population between the age of eighty years to eighty-four years within the specified area.,1,sum,9,
-480,,,us.census.acs.B01001049,Numeric,Female age 85 and over,The female population of the age of eighty-five years and over within the specified area.,1,sum,9,
-481,,,us.census.acs.B02001002,Numeric,White including Hispanic,,0,sum,9,
-482,,,us.census.acs.B02001003,Numeric,Black including Hispanic,,0,sum,9,
-483,,,us.census.acs.B02001004,Numeric,American Indian including Hispanic,,0,sum,9,
-484,,,us.census.acs.B02001005,Numeric,Asian including Hispanic,,0,sum,9,
-485,,,us.census.acs.B03001003,Numeric,Hispanic of any race,,0,sum,9,
-486,,,us.census.acs.B08303003,Numeric,Number of workers with a commute between 5 and 9 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 5 and 9 minutes.,1,sum,9,
-487,,,us.census.acs.B08303009,Numeric,Number of workers with a commute between 35 and 39 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 35 and 39 minutes. ,1,sum,9,
-488,,,us.census.acs.B08303010,Numeric,Number of workers with a commute between 40 and 44 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 40 and 44 minutes. ,1,sum,9,
-489,,,us.census.acs.B08303012,Numeric,Number of workers with a commute between 60 and 89 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 60 and 89 minutes .,1,sum,9,
-490,,,us.census.acs.B08303013,Numeric,Number of workers with a commute of more than 90 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute more than 90 minutes.,1,sum,9,
-491,,,us.census.acs.B19058002,Numeric,Households on cash public assistance or receiving food stamps (SNAP),,0,sum,9,
-492,,,us.census.acs.B07204001,Numeric,Population 1 year and over,"All people, male and female, child and adult, living in a given geographic area that are 1 year and older.",1,,9,
-493,,,us.census.acs.B07204007,Numeric,Lived in a different house one year ago in a different city,All people in a geographic area who lived in a different city within the year prior to the survey.,1,,9,
-494,,,us.census.acs.B07204004,Numeric,Lived in a different house one year ago in the same city,All people in a geographic area who lived in the same city but moved to a different unit within the year prior to the survey.,1,,9,
-495,,,us.census.acs.B26001001,Numeric,Population living in group quarters,,0,,9,
-496,,,us.census.acs.B01001002_quantile,Numeric,Quantile:Male Population,The number of people within each geography who are male.,1,quantile,4,
-497,,,us.census.tiger.aland,Numeric,Land area,,0,sum,1,
-498,,,us.census.tiger.awater,Numeric,Water area,,0,sum,1,
-499,,,us.census.tiger.state,Geometry,US States,"States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.",8,,7,
-500,,,us.census.acs.B09001001_quantile,Numeric,Quantile:Children under 18 Years of Age,The number of people within each geography who are under 18 years of age.,1,quantile,4,
-501,,,us.census.acs.B23025001_quantile,Numeric,Quantile:Population age 16 and over,The number of people in each geography who are age 16 or over.,1,quantile,4,
-502,,,us.census.acs.B23025002_quantile,Numeric,Quantile:Population in Labor Force,"The number of people in each geography who are either in the civilian labor force or are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,quantile,4,
-503,,,us.census.acs.B23025003_quantile,Numeric,Quantile:Population in Civilian Labor Force,"The number of civilians 16 years and over in each geography who can be classified as either ""employed"" or ""unemployed"" below.",1,quantile,4,
-504,,,us.census.acs.B23025004_quantile,Numeric,Quantile:Employed Population,"The number of civilians 16 years old and over in each geography who either (1) were ""at work,"" that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were ""with a job but not at work,"" that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.",1,quantile,4,
-506,,,us.census.tiger.census_tract_clipped,Geometry,Shoreline clipped US Census Tracts,A cartography-ready version of US Census Tracts,9,,7,
-507,,,us.census.acs.B23025006_quantile,Numeric,Quantile:Population in Armed Forces,"The number of people in each geography who are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,quantile,4,
-508,,,us.census.tiger.cbsa_clipped,Geometry,Shoreline clipped Core Based Statistical Area (CBSA),A cartography-ready version of Core Based Statistical Area (CBSA),0,,7,
-548,,,us.census.lodes.jobs_51_information,Integer,Information Jobs,Number of jobs in NAICS sector 51 (Information) ,4,sum,1,
-549,,,us.census.lodes.jobs_52_finance_and_insurance,Integer,Finance and Insurance Jobs,Number of jobs in NAICS sector 52 (Finance and Insurance),4,sum,1,
-550,,,us.census.lodes.jobs_53_real_estate_rental_leasing,Integer,Real Estate and Rental and Leasing Jobs,Number of jobs in NAICS sector 53 (Real Estate and Rental and Leasing) ,4,sum,1,
-509,,,us.census.tiger.puma,Geometry,US Census Public Use Microdata Areas,"PUMAs are geographic areas for which the Census Bureau provides selected extracts of raw data from a small sample of census records that are screened to protect confidentiality. These extracts are referred to as public use microdata sample (PUMS) files.
-For the 2010 Census, each state, the District of Columbia, Puerto Rico, and some Island Area participants delineated PUMAs for use in presenting PUMS data based on a 5 percent sample of decennial census or American Community Survey data. These areas are required to contain at least 100,000 people. This is different from Census 2000 when two types of PUMAs were defined: a 5 percent PUMA as for 2010 and an additional super-PUMA designed to provide a 1 percent sample. The PUMAs are identified by a five-digit census code unique within state.",6,,7,
-510,,,us.census.tiger.school_district_elementary,Geometry,Elementary School District,"School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
+              * Being on a union or professional register",1,sum,10,
+480,,,us.census.acs.B19001008,Numeric,"Households with income of $35,000 To $39,999","The number of households in a geographic area whose annual income was between $35,000 and $39,999.",2,sum,10,
+484,,,us.census.acs.B19001012,Numeric,"Households with income of $60,000 To $74,999","The number of households in a geographic area whose annual income was between $60,000 and $74,999.",2,sum,10,
+444,,,us.census.acs.B23025004,Numeric,Employed Population,"The number of civilians 16 years old and over in each geography who either (1) were ""at work,"" that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were ""with a job but not at work,"" that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.",1,sum,10,
+445,,,us.census.acs.C24050071,Numeric,"Workers employed in production, transportation, and material moving",,0,sum,10,
+447,,,us.census.acs.B01001B013,Numeric,Black Men age 55 to 64,,0,sum,10,
+448,,,us.census.acs.B01001I012,Numeric,Hispanic Men age 45 to 54,,0,sum,10,
+449,,,us.census.acs.B01001I013,Numeric,Hispanic Men age 55 to 64,,0,sum,10,
+450,,,us.census.acs.B01001H012,Numeric,White Men age 45 to 54,,0,sum,10,
+451,,,us.census.acs.B01001H013,Numeric,White Men age 55 to 64,,0,sum,10,
+452,,,us.census.acs.B01001D012,Numeric,Asian Men age 45 to 54,,0,sum,10,
+453,,,us.census.acs.B01001D013,Numeric,Asian Men age 55 to 64,,0,sum,10,
+454,,,us.census.acs.B15001028,Numeric,Men age 45 to 64 who attained less than a 9th grade education,,0,sum,10,
+455,,,us.census.acs.B15001032,Numeric,Men age 45 to 64 who obtained an associate's degree,,0,sum,10,
+456,,,us.census.acs.B15001033,Numeric,Men age 45 to 64 who obtained a bachelor's degree,,0,sum,10,
+457,,,us.census.acs.B12005001,Numeric,Population 15 Years and Over,The number of people in a geographic area who are over the age of 15.  This is used mostly as a denominator of marital status.,2,sum,10,
+458,,,us.census.acs.B12005015,Numeric,Divorced,The number of people in a geographic area who are divorced,2,sum,10,
+459,,,us.census.acs.B12005002,Numeric,Never Married,The number of people in a geographic area who have never been married.,2,sum,10,
+460,,,us.census.acs.B12005005,Numeric,Currently married,The number of people in a geographic area who are currently married,2,sum,10,
+461,,,us.census.acs.B12005008,Numeric,Married but separated,The number of people in a geographic area who are married but separated,2,sum,10,
+462,,,us.census.acs.B12005012,Numeric,Widowed,The number of people in a geographic area who are widowed,2,sum,10,
+463,,,us.census.acs.B08134001,Numeric,Workers age 16 and over who do not work from home,The number of workers in a geographic area over the age of 16 who do not work from home,2,sum,10,
+464,,,us.census.acs.B08135001,Numeric,Aggregate travel time to work,The total number of minutes every worker in a geographic area over the age of 16 who did not work from home spent spent commuting to work in one day,0,sum,10,
+465,,,us.census.acs.B08134002,Numeric,Number of workers with less than 10 minute commute,The number of workers in a geographic area over the age of 16 who do not work from home and commute in less than 10 minutes.,2,sum,10,
+466,,,us.census.acs.B08303004,Numeric,Number of workers with a commute between 10 and 14 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 10 and 14 minutes. ,2,sum,10,
+467,,,us.census.acs.B08303005,Numeric,Number of workers with a commute between 15 and 19 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 15 and 19 minutes. ,2,sum,10,
+468,,,us.census.acs.B08303006,Numeric,Number of workers with a commute between 20 and 24 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 20 and 24 minutes.,2,sum,10,
+469,,,us.census.acs.B08303007,Numeric,Number of workers with a commute between 25 and 29 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 25 and 29 minutes. ,2,sum,10,
+470,,,us.census.acs.B08303008,Numeric,Number of workers with a commute between 30 and 34 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 30 and 34 minutes. ,2,sum,10,
+471,,,us.census.acs.B08134008,Numeric,Number of workers with a commute between 35 and 44 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 35 and 44 minutes. ,2,sum,10,
+472,,,us.census.acs.B08303011,Numeric,Number of workers with a commute between 45 and 59 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 45 and 59 minutes. ,2,sum,10,
+473,,,us.census.acs.B08134010,Numeric,Number of workers with a commute of over 60 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in over 60 minutes.,2,sum,10,
+474,,,us.census.acs.B19001002,Numeric,"Households with income less than $10,000","The number of households in a geographic area whose annual income was less than $10,000.",2,sum,10,
+475,,,us.census.acs.B19001003,Numeric,"Households with income of $10,000 to $14,999","The number of households in a geographic area whose annual income was between $10,000 and $14,999.",2,sum,10,
+476,,,us.census.acs.B19001004,Numeric,"Households with income of $15,000 to $19,999","The number of households in a geographic area whose annual income was between $15,000 and $19,999.",2,sum,10,
+477,,,us.census.acs.B19001005,Numeric,"Households with income of $20,000 To $24,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",2,sum,10,
+478,,,us.census.acs.B19001006,Numeric,"Households with income of $25,000 To $29,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",2,sum,10,
+479,,,us.census.acs.B19001007,Numeric,"Households with income of $30,000 To $34,999","The number of households in a geographic area whose annual income was between $30,000 and $34,999.",2,sum,10,
+481,,,us.census.acs.B19001009,Numeric,"Households with income of $40,000 To $44,999","The number of households in a geographic area whose annual income was between $40,000 and $44,999.",2,sum,10,
+485,,,us.census.acs.B19001013,Numeric,"Households with income of $75,000 To $99,999","The number of households in a geographic area whose annual income was between $75,000 and $99,999.",2,sum,10,
+486,,,us.census.acs.B19001014,Numeric,"Households with income of $100,000 To $124,999","The number of households in a geographic area whose annual income was between $100,000 and $124,999.",2,sum,10,
+487,,,us.census.acs.B19001015,Numeric,"Households with income of $125,000 To $149,999","The number of households in a geographic area whose annual income was between $125,000 and $149,999.",2,sum,10,
+488,,,us.census.acs.B19001016,Numeric,"Households with income of $150,000 To $199,999","The number of households in a geographic area whose annual income was between $150,000 and $1999,999.",2,sum,10,
+489,,,us.census.acs.B19001017,Numeric,"Households with income of $200,000 Or More","The number of households in a geographic area whose annual income was more than $200,000.",2,sum,10,
+490,,,us.census.acs.B25064001,Numeric,Renter-Occupied Housing Units Paying Cash Rent Median Gross Rent,,0,median,10,
+491,,,us.census.acs.B25076001,Numeric,Owner-Occupied Housing Units Lower Value Quartile,,0,,10,
+492,,,us.census.acs.B25077001,Numeric,Owner-Occupied Housing Units Median Value,The middle value (median) in a geographic area owner occupied housing units.,1,median,10,
+493,,,us.census.acs.B25078001,Numeric,Owner-Occupied Housing Units Upper Value Quartile,,0,,10,
+494,,,us.census.acs.B07009002,Numeric,Less than high school graduate,The number of people in a geographic area over the age of 25 who have not completed high school or any other advanced degree.,1,sum,10,
+495,,,us.census.acs.B07009003,Numeric,"Population with high school degree, including GED",The number of people in a geographic area over the age of 25 who attained a high school degree or GED.,1,sum,10,
+496,,,us.census.acs.B07009004,Numeric,Population who completed some college or obtained associate's degree,"The number of people in a geographic area over the age of 25 who obtained an associate's degree, and did not complete a more advanced degree.",1,sum,10,
+497,,,us.census.acs.B07009005,Numeric,Population who completed a bachelor's degree. From mobility table.,,0,sum,10,
+498,,,us.census.acs.B11001003,Numeric,Married households,"People in formal marriages, as well as people in common-law marriages, are included. Does not include same-sex marriages.",1,,10,
+499,,,us.census.acs.B11009003,Numeric,Households with two male partners,"An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has an intimate relationship with the householder.",1,,10,
+500,,,us.census.acs.B11009005,Numeric,Households with two female partners,"An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has an intimate relationship with the householder.",1,,10,
+501,,,us.census.acs.B25003001,Numeric,Renter occupied housing units,A housing unit is classified as occupied if it is the usual place of residence of the person or group of people living in it at the time of enumeration.,1,sum,10,
+502,,,us.census.acs.B25003003,Numeric,Renter occupied housing units,"All occupied units which are not owner occupied, whether they are rented for cash rent or occupied without payment of cash rent, are classified as renter-occupied.",1,sum,10,
+503,,,us.census.acs.B25024002,Numeric,Single-family (one unit) detached dwellings,,0,sum,10,
+504,,,us.census.acs.B25024003,Numeric,Single-family (one unit) detached dwellings,,0,sum,10,
+505,,,us.census.acs.B25024004,Numeric,Two-family (two unit) dwellings,,0,sum,10,
+506,,,us.census.acs.B25024005,Numeric,Multifamily dwellings with three to 4 units,,0,sum,10,
+507,,,us.census.acs.B25024006,Numeric,Apartment buildings with 5 to 9 units,,0,sum,10,
+508,,,us.census.acs.B25024007,Numeric,Apartment buildings with 10 to 19 units,,0,sum,10,
+509,,,us.census.acs.B25024008,Numeric,Apartment buildings with 20 to 49 units,,0,sum,10,
+510,,,us.census.acs.B25024009,Numeric,Apartment buildings with 50 or more units,,0,sum,10,
+511,,,us.census.acs.B25024010,Numeric,Mobile homes,"A manufactured home is defined as a movable dwelling, 8 feet or more wide and 40 feet or more long, designed to be towed on its own chassis, with transportation gear integral to the unit when it leaves the factory, and without need of a permanent foundation. These homes are built in accordance with the U.S. Department of Housing and Urban Development (HUD) building code.",1,sum,10,
+512,,,us.census.acs.B25034002,Numeric,Housing units built in 2005 or later,"A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built in 2005 or later.",1,sum,10,
+513,,,us.census.acs.B25034003,Numeric,Housing units built between 2000 and 2004,"A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built from 2000 to 2004.",1,sum,10,
+514,,,us.census.acs.C24050002,Numeric,"Workers employed in firms in agriculture, forestry, fishing, hunting, or mining","The Agriculture, Forestry, Fishing and Hunting sector comprises establishments primarily engaged in growing crops, raising animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats.",1,sum,10,
+530,,,us.census.acs.C24050043,Numeric,Workers employed in sales and office occupations,,0,sum,10,
+531,,,us.census.acs.C24050057,Numeric,"Workers employed in natural resources, construction, and maintenance occupations",,0,sum,10,
+515,,,us.census.acs.C24050003,Numeric,Workers employed in firms in construction,"The Construction sector comprises establishments primarily engaged in the construction of buildings or engineering projects (e.g., highways and utility systems). Construction work done may include new work, additions, alterations, or maintenance and repairs.",1,sum,10,
+516,,,us.census.acs.C24050004,Numeric,Workers employed in firms in manufacturing,"The Manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products.",1,sum,10,
+535,,,us.census.acs.B01001007,Numeric,Male age 18 and 19,The male population between the age of eighteen years to nineteen years within the specified area.,1,sum,10,
+517,,,us.census.acs.C24050005,Numeric,Workers employed in firms in wholesale trade,"The Wholesale Trade sector comprises establishments engaged in wholesaling merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The wholesaling process is an intermediate step in the distribution of merchandise. Wholesalers are organized to sell or arrange the purchase or sale of (a) goods for resale (i.e., goods sold to other wholesalers or retailers), (b) capital or durable nonconsumer goods, and (c) raw and intermediate materials and supplies used in production.",1,sum,10,
+518,,,us.census.acs.C24050006,Numeric,Workers employed in firms in retail trade,"The Retail Trade sector comprises establishments engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The retailing process is the final step in the distribution of merchandise; retailers are, therefore, organized to sell merchandise in small quantities to the general public.",1,sum,10,
+519,,,us.census.acs.C24050007,Numeric,"Workers employed in firms in transportation, warehousing, and utilities","The Transportation and Warehousing sector includes industries providing transportation of passengers and cargo, warehousing and storage for goods, scenic and sightseeing transportation, and support activities related to modes of transportation. The modes of transportation are air, rail, water, road, and pipeline.",1,sum,10,
+520,,,us.census.acs.C24050008,Numeric,Workers employed in firms in information,"The Information sector comprises establishments engaged in the following processes: (a) producing and distributing information and cultural products, (b) providing the means to transmit or distribute these products as well as data or communications, and (c) processing data. Included are the publishing industries, the motion picture and sound recording industries; the broadcasting industries, the telecommunications industries; Web search portals, data processing industries, and the information services industries.",1,sum,10,
+521,,,us.census.tiger.aland,Numeric,Land area,,0,sum,1,
+522,,,us.census.tiger.awater,Numeric,Water area,,0,sum,1,
+523,,,us.census.acs.C24050009,Numeric,"Workers employed in firms in finance, insurance, real estate and rental and leasing","The Real Estate and Rental and Leasing sector comprises establishments primarily engaged in renting, leasing, or otherwise allowing the use of tangible or intangible assets, and establishments providing related services. The major portion of this sector comprises establishments that rent, lease, or otherwise allow the use of their own assets by others. The assets may be tangible, as is the case of real estate and equipment, or intangible, as is the case with patents and trademarks.",1,sum,10,
+524,,,us.census.acs.C24050010,Numeric,"Workers employed in firms in professional scientific, management, administrative and waste management services","The Administrative and Support and Waste Management and Remediation Services sector comprises establishments performing routine support activities for the day-to-day operations of other organizations. The establishments in this sector specialize in one or more of these support activities and provide these services to clients in a variety of industries and, in some cases, to households. Activities performed include office administration, hiring and placing of personnel, document preparation and similar clerical services, solicitation, collection, security and surveillance services, cleaning, and waste disposal services.",1,sum,10,
+525,,,us.census.acs.C24050011,Numeric,"Workers employed in firms in educational services, health care, and social assistance","Outpatient health services, other than hospital care, including: public health administration; research and education; categorical health programs; treatment and immunization clinics; nursing; environmental health activities such as air and water pollution control; ambulance service if provided separately from fire protection services, and other general public health activities such as mosquito abatement. School health services provided by health agencies (rather than school agencies) are included here. Sewage treatment operations are classified under Sewerage.",1,sum,10,
+526,,,us.census.acs.C24050012,Numeric,"Workers employed in firms in arts, entertainment, recreation, accommodation and food services","The Arts, Entertainment, and Recreation sector includes a wide range of establishments that operate facilities or provide services to meet varied cultural, entertainment, and recreational interests of their patrons. This sector comprises (1) establishments that are involved in producing, promoting, or participating in live performances, events, or exhibits intended for public viewing; (2) establishments that preserve and exhibit objects and sites of historical, cultural, or educational interest; and (3) establishments that operate facilities or provide services that enable patrons to participate in recreational activities or pursue amusement, hobby, and leisure-time interests.",1,sum,10,
+527,,,us.census.acs.C24050013,Numeric,Workers employed in firms in other services except public administration,"The Other Services (Except Public Administration) sector comprises establishments engaged in providing services not specifically provided for elsewhere in the classification system. Establishments in this sector are primarily engaged in activities such as equipment and machinery repairing, promoting or administering religious activities, grantmaking, advocacy, and providing drycleaning and laundry services, personal care services, death care services, pet care services, photofinishing services, temporary parking services, and dating services. Private households that engage in employing workers on or about the premises in activities primarily concerned with the operation of the household are included in this sector.",1,sum,10,
+528,,,us.census.acs.C24050014,Numeric,Workers employed in firms in public administration,"The Public Administration sector consists of establishments of federal, state, and local government agencies that administer, oversee, and manage public programs and have executive, legislative, or judicial authority over other institutions within a given area. These agencies also set policy, create laws, adjudicate civil and criminal legal cases, provide for public safety and for national defense. In general, government establishments in the public administration sector oversee governmental programs and activities that are not performed by private establishments.",1,sum,10,
+529,,,us.census.acs.C24050029,Numeric,Workers employed in service occupations,,0,sum,10,
+532,,,us.census.acs.B01001003,Numeric,Male under 5 years,The male population over the age of five years within the specified area.,1,sum,10,
+533,,,us.census.acs.B01001004,Numeric,Male age 10 to 14,The male population between the age of ten years to fourteen years within the specified area.,1,sum,10,
+534,,,us.census.acs.B01001006,Numeric,Male age 15 to 17,The male population between the age of fifteeen years to seventeen years within the specified area.,1,sum,10,
+537,,,us.census.acs.B09001001_quantile,Numeric,Quantile:Children under 18 Years of Age,The number of people within each geography who are under 18 years of age.,1,quantile,4,
+538,,,us.census.acs.B23025001_quantile,Numeric,Quantile:Population age 16 and over,The number of people in each geography who are age 16 or over.,1,quantile,4,
+539,,,us.census.acs.B23025002_quantile,Numeric,Quantile:Population in Labor Force,"The number of people in each geography who are either in the civilian labor force or are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,quantile,4,
+540,,,us.census.acs.B23025003_quantile,Numeric,Quantile:Population in Civilian Labor Force,"The number of civilians 16 years and over in each geography who can be classified as either ""employed"" or ""unemployed"" below.",1,quantile,4,
+541,,,us.census.acs.B23025004_quantile,Numeric,Quantile:Employed Population,"The number of civilians 16 years old and over in each geography who either (1) were ""at work,"" that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were ""with a job but not at work,"" that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.",1,quantile,4,
+542,,,us.census.tiger.cbsa_geoid,Text,Core Based Statistical Area (CBSA) Geoids,,0,,6,
+543,,,us.census.tiger.census_tract_clipped,Geometry,Shoreline clipped US Census Tracts,A cartography-ready version of US Census Tracts,9,,8,
+544,,,us.census.acs.B01001009,Numeric,Male age 21,The male population with an age of twenty-one years within the specified area.,1,sum,10,
+545,,,us.census.acs.B01001010,Numeric,Male age 22 to 24,The male population between the age of twenty-two years to twenty-four years within the specified area.,1,sum,10,
+546,,,us.census.acs.B01001011,Numeric,Male age 25 to 29,The male population between the age of twenty-five years to twenty-nine years within the specified area.,1,sum,10,
+547,,,us.census.acs.B01001012,Numeric,Male age 30 to 34,The male population between the age of thirty years to thirty-four years within the specified area.,1,sum,10,
+548,,,us.census.acs.B01001013,Numeric,Male age 35 to 39,The male population between the age of thirty-five years to thirty-nine years within the specified area.,1,sum,10,
+549,,,us.census.acs.B01001014,Numeric,Male age 40 to 44,The male population between the age of fourty years to fourty-four years within the specified area.,1,sum,10,
+550,,,us.census.acs.B15001027,Numeric,"Men age 45 to 64 (""middle aged"")",The male population between the age of fourty-five years to sixty-four years within the specified area.,1,sum,10,
+551,,,us.census.acs.B01001016,Numeric,Men age 50 to 54,The male population between the age of fifty years to fifty-four years within the specified area.,1,sum,10,
+552,,,us.census.acs.B01001017,Numeric,Men age 55 to 59,The male population between the age of fifty-five years to fifty-nine years within the specified area.,1,sum,10,
+553,,,us.census.acs.B01001018,Numeric,Men age 60 to 61,The male population between the age of sixty years to sixty-one years within the specified area.,1,sum,10,
+554,,,us.census.acs.B01001019,Numeric,Men age 62 to 64,The male population between the age of sixty-two years to sixty-four years within the specified area.,1,sum,10,
+555,,,us.census.acs.B01001020,Numeric,Male age 65 to 66,The male population between the age of sixty-five years to sixty-six years within the specified area.,1,sum,10,
+556,,,us.census.acs.B01001021,Numeric,Male age 67 to 69,The male population between the age of sixty-seven years to sixty-nine years within the specified area.,1,sum,10,
+557,,,us.census.acs.B01001022,Numeric,Male age 70 to 74,The male population between the age of seventy years to seventy-four years within the specified area.,1,sum,10,
+558,,,us.census.acs.B01001023,Numeric,Male age 75 to 79,The male population between the age of seventy-five years to seventy-nine years within the specified area.,1,sum,10,
+559,,,us.census.acs.B01001024,Numeric,Male age 80 to 84,The male population between the age of eighty years to eighty-four years within the specified area.,1,sum,10,
+560,,,us.census.acs.B01001025,Numeric,Male age 85 and over,The male population of the age of eighty-five years and over within the specified area.,1,sum,10,
+561,,,us.census.acs.B01001027,Numeric,Female under 5 years,The female population over the age of five years within the specified area.,1,sum,10,
+562,,,us.census.acs.B01001028,Numeric,Female age 5 to 9,The female population between the age of five years to nine years within the specified area.,1,sum,10,
+563,,,us.census.acs.B01001029,Numeric,Female age 10 to 14,The female population between the age of ten years to fourteen years within the specified area.,1,sum,10,
+564,,,us.census.acs.B01001030,Numeric,Female age 15 to 17,The female population between the age of fifteeen years to seventeen years within the specified area.,1,sum,10,
+565,,,us.census.acs.B01001031,Numeric,Female age 18 and 19,The female population between the age of eighteen years to nineteen years within the specified area.,1,sum,10,
+650,,,whosonfirst.wof_disputed_name,Text,,,0,,4,
+566,,,us.census.acs.B01001032,Numeric,Female age 20,The female population with an age of twenty years within the specified area.,1,sum,10,
+567,,,us.census.acs.B01001033,Numeric,Female age 21,The female population with an age of twenty-one years within the specified area.,1,sum,10,
+568,,,us.census.acs.B23025006_quantile,Numeric,Quantile:Population in Armed Forces,"The number of people in each geography who are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).",1,quantile,4,
+569,,,us.census.tiger.cbsa_clipped,Geometry,Shoreline clipped Core Based Statistical Area (CBSA),A cartography-ready version of Core Based Statistical Area (CBSA),0,,8,
+570,,,us.census.acs.B01001034,Numeric,Female age 22 to 24,The female population between the age of twenty-two years to twenty-four years within the specified area.,1,sum,10,
+571,,,us.census.acs.B01001035,Numeric,Female age 25 to 29,The female population between the age of twenty-five years to twenty-nine years within the specified area.,1,sum,10,
+572,,,us.census.acs.B01001036,Numeric,Female age 30 to 34,The female population between the age of thirty years to thirty-four years within the specified area.,1,sum,10,
+573,,,us.census.acs.B01001037,Numeric,Female age 35 to 39,The female population between the age of thirty-five years to thirty-nine years within the specified area.,1,sum,10,
+574,,,us.census.acs.B01001038,Numeric,Female age 40 to 44,The female population between the age of fourty years to fourty-four years within the specified area.,1,sum,10,
+575,,,us.census.acs.B01001039,Numeric,Female age 45 to 49,The female population between the age of fourty-five years to fourty-nine years within the specified area.,1,sum,10,
+576,,,us.census.acs.B01001040,Numeric,Female age 50 to 54,The female population between the age of fifty years to fifty-four years within the specified area.,1,sum,10,
+577,,,us.census.acs.B01001041,Numeric,Female age 55 to 59,The female population between the age of fifty-five years to fifty-nine years within the specified area.,1,sum,10,
+578,,,us.census.acs.B01001042,Numeric,Female age 60 and 61,The female population between the age of sixty years to sixty-one years within the specified area.,1,sum,10,
+579,,,us.census.acs.B01001043,Numeric,Female age 62 to 64,The female population between the age of sixty-two years to sixty-four years within the specified area.,1,sum,10,
+580,,,us.census.acs.B01001044,Numeric,Female age 65 to 66,The female population between the age of sixty-five years to sixty-six years within the specified area.,1,sum,10,
+581,,,us.census.acs.B01001045,Numeric,Female age 67 to 69,The female population between the age of sixty-seven years to sixty-nine years within the specified area.,1,sum,10,
+582,,,us.census.acs.B01001046,Numeric,Female age 70 to 74,The female population between the age of seventy years to seventy-four years within the specified area.,1,sum,10,
+583,,,us.census.acs.B01001047,Numeric,Female age 75 to 79,The female population between the age of seventy-five years to seventy-nine years within the specified area.,1,sum,10,
+584,,,us.census.acs.B01001048,Numeric,Female age 80 to 84,The female population between the age of eighty years to eighty-four years within the specified area.,1,sum,10,
+585,,,us.census.acs.B01001049,Numeric,Female age 85 and over,The female population of the age of eighty-five years and over within the specified area.,1,sum,10,
+586,,,us.census.acs.B02001003,Numeric,Black including Hispanic,,0,sum,10,
+587,,,us.census.acs.B02001004,Numeric,American Indian including Hispanic,,0,sum,10,
+588,,,us.census.acs.B02001005,Numeric,Asian including Hispanic,,0,sum,10,
+589,,,us.census.acs.B03001003,Numeric,Hispanic of any race,,0,sum,10,
+590,,,us.census.acs.B08303003,Numeric,Number of workers with a commute between 5 and 9 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 5 and 9 minutes.,1,sum,10,
+591,,,us.census.acs.B08303009,Numeric,Number of workers with a commute between 35 and 39 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 35 and 39 minutes. ,1,sum,10,
+592,,,us.census.acs.B08303010,Numeric,Number of workers with a commute between 40 and 44 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 40 and 44 minutes. ,1,sum,10,
+593,,,us.census.acs.B08303012,Numeric,Number of workers with a commute between 60 and 89 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 60 and 89 minutes .,1,sum,10,
+594,,,us.census.acs.B08303013,Numeric,Number of workers with a commute of more than 90 minutes,The number of workers in a geographic area over the age of 16 who do not work from home and commute more than 90 minutes.,1,sum,10,
+595,,,us.census.acs.B19058002,Numeric,Households on cash public assistance or receiving food stamps (SNAP),,0,sum,10,
+596,,,us.census.acs.B07204001,Numeric,Population 1 year and over,"All people, male and female, child and adult, living in a given geographic area that are 1 year and older.",1,,10,
+597,,,us.census.acs.B07204007,Numeric,Lived in a different house one year ago in a different city,All people in a geographic area who lived in a different city within the year prior to the survey.,1,,10,
+598,,,us.census.acs.B07204004,Numeric,Lived in a different house one year ago in the same city,All people in a geographic area who lived in the same city but moved to a different unit within the year prior to the survey.,1,,10,
+599,,,us.census.acs.B26001001,Numeric,Population living in group quarters,,0,,10,
+600,,,us.zillow.SingleFamilyResidence_Zhvi,Numeric,Zillow Home Value Index for Single Family Homes,"The Zillow Home Value Index (ZHVI) is a time series tracking the monthly median home value (in US Dollars) in a particular geographical region. In general, each ZHVI time series begins in April 1996. See `Zillow's methodology <http://www.zillow.com/research/zhvi-methodology-6032/>`_ for more information. Single family residences are detached, free-standing residential buildings. ",1,index,5,
+651,,,whosonfirst.wof_marinearea_geom,Geometry,Marine Areas,,5,,4,
+652,,,whosonfirst.wof_marinearea_id,Numeric,Who's on First ID,,0,,4,
+653,,,whosonfirst.wof_marinearea_name,Text,,,0,,4,
+609,,,us.census.tiger.congressional_district,Geometry,US Congressional Districts,"Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on decennial census population counts, each state with multiple seats is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. For the District of Columbia, Puerto Rico, and each Island Area, a separate code is used to identify the entire areas of these state-equivalent entities as having a single nonvoting delegate.",5,,10,
+601,,,us.census.tiger.census_tract,Geometry,US Census Tracts,"Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity that are updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineates census tracts in situations where no local participant existed or where state, local, or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of statistical data.
+Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.
+Census tract boundaries generally follow visible and identifiable features. They may follow nonvisible legal boundaries, such as minor civil division (MCD) or incorporated place boundaries in some states and situations, to allow for census-tract-to-governmental-unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. Tribal census tracts are a unique geographic entity defined within federally recognized American Indian reservations and off-reservation trust lands and can cross state and county boundaries. Tribal census tracts may be completely different from the census tracts and block groups defined by state and county (see “Tribal Census Tract”).",9,,10,
+602,,,us.census.tiger.county,Geometry,US County,"The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.",7,,10,
+603,,,us.census.tiger.county_clipped,Geometry,Shoreline clipped US County,A cartography-ready version of US County,7,,8,
+604,,,us.census.tiger.block_group_clipped,Geometry,Shoreline clipped US Census Block Groups,A cartography-ready version of US Census Block Groups,10,,8,
+605,,,us.census.tiger.congressional_district_clipped,Geometry,Shoreline clipped US Congressional Districts,A cartography-ready version of US Congressional Districts,5,,8,
+606,,,us.census.tiger.state_clipped,Geometry,Shoreline clipped US States,A cartography-ready version of US States,8,,8,
+607,,,us.census.tiger.cbsa,Geometry,Core Based Statistical Area (CBSA),"Core Based Statistical Areas (CBSAs) consist of the county or counties or equivalent entities associated with at least one core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties associated with the core. The general concept of a CBSA is that of a
+core area containing a substantial population nucleus, together with adjacent communities having a high degree of economic and social integration with that core. The term “core based statistical area” became effective in 2003 and refers collectively to metropolitan statistical areas and micropolitan statistical areas. The U.S. Office of Management and Budget (OMB) defines CBSAs to provide a nationally consistent set of geographic entities for the United States and Puerto Rico for use in tabulating and presenting statistical data. Current CBSAs are based on application of the 2000 standards (published in the Federal Register of December 27, 2000) with Census 2000 data. The first set of areas defined based on the 2000 standards were announced on June 6, 2003; subsequent updates have been made to the universe of CBSAs and related statistical areas. No CBSAs are defined in the Island Areas. Statistical areas related to CBSAs include metropolitan divisions, combined statistical areas (CSAs), New England city and town areas (NECTAs), NECTA divisions, and combined NECTAs.",0,,10,
+608,,,us.census.tiger.block_group,Geometry,US Census Block Groups,"Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
+A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within the census tract. Within the standard census geographic hierarchy, BGs never cross state, county, or census tract boundaries but may cross the boundaries of any other geographic entity. Tribal census tracts and tribal BGs are separate and unique geographic areas defined within federally recognized American Indian reservations and can cross state and county boundaries (see “Tribal Census Tract” and “Tribal Block Group”). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.",10,,10,
+654,,,whosonfirst.wof_region_geom,Geometry,Regions (First-level Administrative),,5,,4,
+655,,,whosonfirst.wof_region_id,Numeric,Who's on First ID,,0,,4,
+656,,,whosonfirst.wof_region_name,Text,,,0,,4,
+610,,,us.census.tiger.puma,Geometry,US Census Public Use Microdata Areas,"PUMAs are geographic areas for which the Census Bureau provides selected extracts of raw data from a small sample of census records that are screened to protect confidentiality. These extracts are referred to as public use microdata sample (PUMS) files.
+For the 2010 Census, each state, the District of Columbia, Puerto Rico, and some Island Area participants delineated PUMAs for use in presenting PUMS data based on a 5 percent sample of decennial census or American Community Survey data. These areas are required to contain at least 100,000 people. This is different from Census 2000 when two types of PUMAs were defined: a 5 percent PUMA as for 2010 and an additional super-PUMA designed to provide a 1 percent sample. The PUMAs are identified by a five-digit census code unique within state.",6,,10,
+611,,,us.census.tiger.school_district_secondary,Geometry,Secondary School District,"School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
 The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
 The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
-The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.",3,,7,
-511,,,us.census.tiger.county_clipped,Geometry,Shoreline clipped US County,A cartography-ready version of US County,7,,7,
-512,,,us.census.tiger.block_group_clipped,Geometry,Shoreline clipped US Census Block Groups,A cartography-ready version of US Census Block Groups,10,,7,
-513,,,us.census.tiger.congressional_district_clipped,Geometry,Shoreline clipped US Congressional Districts,A cartography-ready version of US Congressional Districts,5,,7,
-514,,,us.census.tiger.puma_clipped,Geometry,Shoreline clipped US Census Public Use Microdata Areas,A cartography-ready version of US Census Public Use Microdata Areas,6,,7,
-515,,,us.census.tiger.state_clipped,Geometry,Shoreline clipped US States,A cartography-ready version of US States,8,,7,
-516,,,us.census.tiger.census_tract_geoid,Text,US Census Tracts Geoids,,0,,6,
-517,,,us.census.tiger.county_geoid,Text,US County Geoids,,0,,6,
-518,,,us.census.tiger.puma_geoid,Text,US Census Public Use Microdata Areas Geoids,,0,,6,
-519,,,us.census.tiger.state_geoid,Text,US States Geoids,,0,,6,
-520,,,us.census.tiger.zcta5_geoid,Text,US Census Zip Code Tabulation Areas Geoids,,0,,6,
-521,,,us.census.tiger.block_geoid,Text,US Census Blocks Geoids,,0,,6,
-522,,,us.ny.nyc.opendata.name,Text,Name,,0,,4,
-523,,,us.ny.nyc.opendata.address1,Text,Address 1,,0,,4,
-524,,,us.ny.nyc.opendata.address2,Text,Address 2,,0,,4,
-525,,,us.ny.nyc.opendata.country,Text,country,,0,,4,
-526,,,us.ny.nyc.opendata.city,Text,city,,0,,4,
-527,,,us.ny.nyc.opendata.state,Text,state,,0,,4,
-528,,,us.ny.nyc.opendata.zip,Text,zip,,0,,4,
-529,,,us.ny.nyc.opendata.us.ny.nyc.opendata.good_through_date,Date,Good Through Date,,0,,4,
-530,,,us.ny.nyc.opendata.us.ny.nyc.opendata.record_type,Text,Record Type,,0,,4,
-531,,,us.ny.nyc.opendata.us.ny.nyc.opendata.document_id,Text,Document ID,,0,,4,
-532,,,us.census.lodes.jobs_firm_age_500_more_employees,Integer,Jobs at firms with 500 or more Employees,Number of jobs for workers at firms with Firm Size: 500 or more Employees,1,sum,1,
-533,,,us.census.lodes.total_jobs,Integer,Total Jobs,Total number of jobs,8,sum,1,
-534,,,us.census.lodes.jobs_age_29_or_younger,Integer,Jobs for workers age 29 or younger,Number of jobs of workers age 29 or younger,3,sum,1,
-535,,,us.census.lodes.jobs_age_30_to_54,Integer,Jobs for workers age 30 to 54,Number of jobs for workers age 30 to 54,3,sum,1,
-536,,,us.census.lodes.jobs_age_55_or_older,Integer,Jobs for workers age 55 or older,Number of jobs for workers age 55 or older,3,sum,1,
-537,,,us.census.lodes.jobs_earning_15000_or_less,Integer,"Jobs earning up to $15,000 per year","Number of jobs with earnings $1250/month or less ($15,000 per year)",3,sum,1,
-538,,,us.census.lodes.jobs_earning_15001_to_40000,Integer,"Jobs earning $15,000 to $40,000 per year","Number of jobs with earnings $1251/month to $3333/month ($15,000 to $40,000 per year)",5,sum,1,
-539,,,us.census.lodes.jobs_earning_40001_or_more,Integer,"Jobs with earnings greater than $40,000 per year",Number of Jobs with earnings greater than $3333/month,5,sum,1,
-540,,,us.census.lodes.jobs_11_agriculture_forestry_fishing,Integer,"Agriculture, Forestry, Fishing and Hunting jobs","Number of jobs in NAICS sector 11 (Agriculture, Forestry, Fishing and Hunting)",4,sum,1,
-541,,,us.census.lodes.jobs_21_mining_quarrying_oil_gas,Integer,"Mining, Quarrying, and Oil and Gas Extraction jobs","Number of jobs in NAICS sector 21 (Mining, Quarrying, and Oil and Gas Extraction) ",4,sum,1,
-543,,,us.census.lodes.jobs_23_construction,Integer,Construction Jobs,Number of jobs in NAICS sector 23 (Construction) ,4,sum,1,
-544,,,us.census.lodes.jobs_31_33_manufacturing,Integer,Manufacturing Jobs,Number of jobs in NAICS sector 31-33 (Manufacturing) ,4,sum,1,
-545,,,us.census.lodes.jobs_42_wholesale_trade,Integer,Wholesale Trade Jobs,Number of jobs in NAICS sector 42 (Wholesale Trade) ,4,sum,1,
-546,,,us.census.lodes.jobs_44_45_retail_trade,Integer,Retail Trade Jobs,Number of jobs in NAICS sector 44-45 (Retail Trade) ,4,sum,1,
-547,,,us.census.lodes.jobs_48_49_transport_warehousing,Integer,Transport and Warehousing Jobs,Number of jobs in NAICS sector 48-49 (Transportation and Warehousing) ,4,sum,1,
-551,,,us.census.lodes.jobs_54_professional_scientific_tech_services,Integer,"Professional, Scientific, and Technical Services Jobs","Number of jobs in NAICS sector 54 (Professional, Scientific, and Technical Services) ",4,sum,1,
-552,,,us.census.lodes.jobs_55_management_of_companies_enterprises,Integer,Management of Companies and Enterprises Jobs,Number of jobs in NAICS sector 55 (Management of Companies and Enterprises) ,4,sum,1,
-553,,,us.census.lodes.jobs_56_admin_support_waste_management,Integer,Administrative and Support and Waste Management and Remediation Services Jobs,Number of jobs in NAICS sector 56 (Administrative and Support and Waste Management and Remediation Services) ,4,sum,1,
-554,,,us.census.lodes.jobs_61_educational_services,Integer,Educational Services Jobs,Number of jobs in NAICS sector 61 (Educational Services) ,4,sum,1,
-555,,,us.census.lodes.jobs_62_healthcare_social_assistance,Integer,Health Care and Social Assistance Jobs,Number of jobs in NAICS sector 62 (Health Care and Social Assistance) ,4,sum,1,
-556,,,us.census.lodes.jobs_71_arts_entertainment_recreation,Integer,"Arts, Entertainment, and Recreation jobs","Number of jobs in NAICS sector 71 (Arts, Entertainment, and Recreation) ",4,sum,1,
-557,,,us.census.lodes.jobs_72_accommodation_and_food,Integer,Accommodation and Food Services jobs,Number of jobs in NAICS sector 72 (Accommodation and Food Services) ,4,sum,1,
-558,,,us.census.lodes.jobs_81_other_services_except_public_admin,Integer,Other Services (except Public Administration) jobs,Jobs in NAICS sector 81 (Other Services [except Public Administration]),4,sum,1,
-559,,,us.census.lodes.jobs_92_public_administration,Integer,Public Administration jobs,Number of jobs in NAICS sector 92 (Public Administration) ,4,sum,1,
-560,,,us.census.lodes.jobs_white,Integer,Jobs held by workers who are white,"Number of jobs for workers with Race: White, Alone",2,sum,1,
-561,,,us.census.lodes.jobs_black,Integer,Jobs held by workers who are black,Number of jobs for workers with Race: Black or African American Alone,2,sum,1,
-562,,,us.census.lodes.jobs_amerindian,Integer,Jobs held by workers who are American Indian or Alaska Native Alone,Number of jobs for workers with Race: American Indian or Alaska Native Alone,0,sum,1,
-563,,,us.census.lodes.jobs_asian,Integer,Jobs held by workers who are Asian,Number of jobs for workers with Race: Asian Alone,2,sum,1,
-564,,,us.census.lodes.jobs_hawaiian,Integer,Jobs held by workers who are Native Hawaiian or Other Pacific Islander Alone,Number of jobs for workers with Race: Native Hawaiian or Other Pacific Islander Alone,0,sum,1,
-565,,,us.census.lodes.jobs_two_or_more_races,Integer,Jobs held by workers who reported Two or More Race Groups,Number of jobs for workers with Race: Two or More Race Groups,0,sum,1,
-566,,,us.census.lodes.jobs_not_hispanic,Integer,Jobs held by workers who are Not Hispanic or Latino,Number of jobs for workers with Ethnicity: Not Hispanic or Latino,0,sum,1,
-567,,,us.census.lodes.jobs_hispanic,Integer,Jobs held by workers who are Hispanic or Latino,Number of jobs for workers with Ethnicity: Hispanic or Latino,1,sum,1,
-568,,,us.census.lodes.jobs_less_than_high_school,Integer,Jobs held by workers who did not complete high school,Number of jobs for workers with Educational Attainment: Less than high school,4,sum,1,
-569,,,us.census.lodes.jobs_high_school,Integer,Jobs held by workers who completed high school,"Number of jobs for workers with Educational Attainment: High school or equivalent, no college",4,sum,1,
-570,,,us.census.lodes.jobs_some_college,Integer,Jobs held by workers who completed some college or Associate degree,Number of jobs for workers with Educational Attainment: Some college or Associate degree,4,sum,1,
-571,,,us.census.lodes.jobs_bachelors_or_advanced,Integer,Jobs held by workers who obtained a Bachelor's degree or advanced degree,Number of jobs for workers with Educational Attainment: Bachelor's degree or advanced degree,4,sum,1,
-572,,,us.census.lodes.jobs_male,Integer,Jobs held by men,Number of jobs for male workers,2,sum,1,
-573,,,us.census.lodes.jobs_female,Integer,Jobs held by women,Number of jobs for female workers,2,sum,1,
-574,,,us.census.lodes.jobs_firm_age_0_1_years,Integer,Jobs at firms aged 0-1 Years,Number of jobs for workers at firms with Firm Age: 0-1 Years,1,sum,1,
-575,,,us.census.lodes.jobs_firm_age_2_3_years,Integer,Jobs at firms aged 2-3 Years,Number of jobs for workers at firms with Firm Age: 2-3 Years,1,sum,1,
-576,,,us.census.lodes.jobs_firm_age_4_5_years,Integer,Jobs at firms aged 4-5 Years,Number of jobs for workers at firms with Firm Age: 4-5 Years,1,sum,1,
-577,,,us.census.lodes.jobs_firm_age_6_10_years,Integer,Jobs at firms aged 6-10 years,Number of jobs for workers at firms with Firm Age: 6-10 Years,1,sum,1,
-578,,,us.census.lodes.jobs_firm_age_11_more_years,Integer,Jobs at firms aged 11 or more Years,Number of jobs for workers at firms with Firm Age: 11 or more Years,1,sum,1,
-579,,,us.census.lodes.jobs_firm_age_0_19_employees,Integer,Jobs at firms with 0-19 Employees,Number of jobs for workers at firms with Firm Size: 0-19 Employees,1,sum,1,
-580,,,us.census.lodes.jobs_firm_age_20_49_employees,Integer,Jobs at firms with 20-49 Employees,Number of jobs for workers at firms with Firm Size: 20-49 Employees,1,sum,1,
-581,,,us.census.lodes.jobs_firm_age_50_249_employees,Integer,Jobs at firms with 0-249 Employees,Number of jobs for workers at firms with Firm Size: 50-249 Employees,1,sum,1,
-582,,,us.census.lodes.jobs_firm_age_250_499_employees,Integer,Jobs at firms with 250-499 Employees,Number of jobs for workers at firms with Firm Size: 250-499 Employees,1,sum,1,
-583,,,us.census.lodes.createdate,Date,"Date on which data was created, formatted as YYYYMMDD ",,0,,1,
-584,,,us.census.acs.B01001015,Numeric,Men age 45 to 49,The male population between the age of fourty-five years to fourty-nine years within the specified area.,1,sum,9,
-585,,,us.census.acs.B15001029,Numeric,"Men age 45 to 64 who attained between 9th and 12th grade, no diploma",,0,sum,9,
-586,,,us.census.acs.B15001030,Numeric,Men age 45 to 64 who completed high school or obtained GED,,0,sum,9,
-587,,,us.census.acs.B15001031,Numeric,"Men age 45 to 64 who completed some college, no degree",,0,sum,9,
-588,,,us.census.tiger.school_district_secondary_geoid,Text,Secondary School District Geoids,,0,,6,
-589,,,us.census.tiger.school_district_elementary_geoid,Text,Elementary School District Geoids,,0,,6,
-591,,,us.census.acs.B01001001_quantile,Numeric,Quantile:Total Population,The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.,0,quantile,3,
-592,,,us.census.acs.B08006008_quantile,Numeric,Quantile:Commuters by Public Transportation,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",0,quantile,3,
-593,,,us.census.acs.B01001026_quantile,Numeric,Quantile:Female Population,The number of people within each geography who are female.,1,quantile,4,
-594,,,us.census.acs.B08134004_quantile,Numeric,Quantile:Number of workers with a commute between 15 and 19 minutes,The number of workers over the age of 16 who do not work from home and commute in between 15 and 19 minutes in a geographic area,0,quantile,3,
-595,,,us.census.acs.B16001002_quantile,Numeric,Quantile:Speaks only English at Home,The number of people in a geographic area over age 5 who speak only English at home.,1,quantile,4,
-596,,,us.census.acs.B23008002_quantile,Numeric,Quantile:Families with young children (under 6 years of age),,1,quantile,4,
-597,,,us.census.acs.B08134003_quantile,Numeric,Quantile:Number of workers with a commute between 10 and 14 minutes,The number of workers over the age of 16 who do not work from home and commute in between 10 and 14 minutes in a geographic area,0,quantile,3,
-598,,,us.census.acs.B08134005_quantile,Numeric,Quantile:Number of workers with a commute between 20 and 24 minutes,The number of workers over the age of 16 who do not work from home and commute in between 20 and 24 minutes in a geographic area,0,quantile,3,
-599,,,us.census.acs.B08134006_quantile,Numeric,Quantile:Number of workers with a commute between 25 and 29 minutes,The number of workers over the age of 16 who do not work from home and commute in between 25 and 29 minutes in a geographic area,0,quantile,3,
-600,,,us.census.acs.B23008003_quantile,Numeric,Quantile:Two-parent families with young children (under 6 years of age),,1,quantile,4,
-601,,,us.census.acs.B08134007_quantile,Numeric,Quantile:Number of workers with a commute between 30 and 34 minutes,The number of workers over the age of 16 who do not work from home and commute in between 30 and 34 minutes in a geographic area,0,quantile,3,
-602,,,us.census.acs.B08134009_quantile,Numeric,Quantile:Number of workers with a commute between 45 and 59 minutes,The number of workers over the age of 16 who do not work from home and commute in between 45 and 59 minutes in a geographic area,0,quantile,3,
-603,,,us.census.acs.B08134008_quantile,Numeric,Quantile:Number of workers with a commute between 35 and 44 minutes,The number of workers over the age of 16 who do not work from home and commute in between 35 and 44 minutes in a geographic area,1,quantile,4,
-604,,,us.census.acs.B08134010_quantile,Numeric,Quantile:Number of workers with a commute of over 60 minutes,The number of workers over the age of 16 who do not work from home and commute in over 60 minutes in a geographic area,1,quantile,4,
-605,,,us.census.acs.B08135001_quantile,Numeric,Quantile:Aggregate travel time to work,The total number of minutes every worker over the age of 16 who did not work from home spent spent commuting to work in one day in a geographic area,1,quantile,4,
-606,,,us.census.acs.B19001002_quantile,Numeric,"Quantile:Households with income less than $10,000","The number of households in a geographic area whose annual income was less than $10,000.",1,quantile,4,
-607,,,us.census.acs.B19001003_quantile,Numeric,"Quantile:Households with income of $10,000 to $14,999","The number of households in a geographic area whose annual income was between $10,000 and $14,999.",1,quantile,4,
-608,,,us.census.acs.B19001004_quantile,Numeric,"Quantile:Households with income of $15,000 to $19,999","The number of households in a geographic area whose annual income was between $15,000 and $19,999.",1,quantile,4,
-609,,,us.census.acs.B19001005_quantile,Numeric,"Quantile:Households with income of $20,000 To $24,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",1,quantile,4,
-610,,,us.census.acs.B19001006_quantile,Numeric,"Quantile:Households with income of $25,000 To $29,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",1,quantile,4,
-611,,,us.census.acs.B19001007_quantile,Numeric,"Quantile:Households with income of $30,000 To $34,999","The number of households in a geographic area whose annual income was between $30,000 and $34,999.",1,quantile,4,
-612,,,us.census.acs.B19001008_quantile,Numeric,"Quantile:Households with income of $35,000 To $39,999","The number of households in a geographic area whose annual income was between $35,000 and $39,999.",1,quantile,4,
-613,,,us.census.acs.B19001017_quantile,Numeric,"Quantile:Households with income of $200,000 Or More","The number of households in a geographic area whose annual income was more than $200,000.",1,quantile,4,
-614,,,us.census.tiger.block,Geometry,US Census Blocks,"Census blocks are statistical areas bounded by visible features, such as streets, roads, streams, and railroad tracks, and by nonvisible boundaries, such as selected property lines and city, township, school district, and county limits and short line-of-sight extensions of streets and roads. Generally, census blocks are small in area; for example, a block in a city bounded on all sides by streets. Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features, such as roads, streams, and transmission lines. In remote areas, census blocks may encompass hundreds of square miles. Census blocks cover the entire territory of the United States, Puerto Rico, and the Island Areas. Census blocks nest within all other tabulated census geographic entities and are the basis for all tabulated data.",0,,7,
-615,,,us.census.tiger.census_tract,Geometry,US Census Tracts,"Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity that are updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program. The Census Bureau delineates census tracts in situations where no local participant existed or where state, local, or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of statistical data.
-Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.
-Census tract boundaries generally follow visible and identifiable features. They may follow nonvisible legal boundaries, such as minor civil division (MCD) or incorporated place boundaries in some states and situations, to allow for census-tract-to-governmental-unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. Tribal census tracts are a unique geographic entity defined within federally recognized American Indian reservations and off-reservation trust lands and can cross state and county boundaries. Tribal census tracts may be completely different from the census tracts and block groups defined by state and county (see “Tribal Census Tract”).",9,,7,
-616,,,us.census.acs.B23025007_quantile,Numeric,Quantile:Population Not in Labor Force,"The number of people in each geography who are 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, homemakers, retired workers, seasonal workers interviewed in an off season who were not looking for work, institutionalized people, and people doing only incidental unpaid family work (less than 15 hours during the reference week).",1,quantile,4,
+The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.",3,,10,
+612,,,us.census.tiger.state,Geometry,US States,"States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.",8,,10,
+613,,,us.zillow.AllHomes_Zhvi,Numeric,Zillow Home Value Index for All homes,"The Zillow Home Value Index (ZHVI) is a time series tracking the monthly median home value (in US Dollars) in a particular geographical region. In general, each ZHVI time series begins in April 1996. See `Zillow's methodology <http://www.zillow.com/research/zhvi-methodology-6032/>`_ for more information. Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.",1,index,5,
+614,,,us.zillow.AllHomes_MedianValuePerSqft,Numeric,Median value per square foot for All homes,"Median of the estimated monthly rent price (US Dollars) of all homes, per square foot. This is calculated by taking the estimated rent price for a home and dividing it by the homes square footage. Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.",1,median,5,
+615,,,us.census.tiger.place,Geometry,Incorporated Places,"Incorporated places are those reported to the Census Bureau as legally in existence as of January 1, 2010, as reported in the latest Boundary and Annexation Survey (BAS), under the laws of their respective states. An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division, which generally is created to provide services or administer an area without regard, necessarily, to population. Places always are within a single state or equivalent entity, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. For Census Bureau data tabulation and presentation purposes, incorporated places exclude:
+Boroughs in Alaska (treated as statistical equivalents of counties).
+Towns in the New England states, New York, and Wisconsin (treated as MCDs).
+Boroughs in New York (treated as MCDs).
+Census Designated Places (CDPs) are the statistical counterparts of incorporated places, and are delineated to provide data for settled concentrations of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located. The boundaries usually are defined in cooperation with local or tribal officials and generally updated prior to each decennial census. These boundaries, which usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity boundary, have no legal status, nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change from one decennial census
+to the next with changes in the settlement pattern; a CDP with the same name as in an earlier census does not necessarily have the same boundary. CDPs must be contained within a single state and may not extend into an incorporated place. There are no population size requirements for CDPs.
+Hawaii is the only state that has no incorporated places recognized by the Census Bureau. All places shown in decennial census data products for Hawaii are CDPs. By agreement with the state of Hawaii, the Census Bureau does not show data separately for the city of Honolulu, which is coextensive with Honolulu County. In Puerto Rico, which also does not have incorporated places, the Census Bureau recognizes only CDPs and refers to them as comunidades or zonas urbanas. Guam also has only CDPs.",0,,10,
+616,,,us.census.tiger.zcta5,Geometry,US Census Zip Code Tabulation Areas,"ZCTAs are approximate area representations of U.S. Postal Service (USPS) five-digit ZIP Code service areas that the Census Bureau creates using whole blocks to present statistical data from censuses and surveys. The Census Bureau defines ZCTAs by allocating each block that contains addresses to a single ZCTA, usually to the ZCTA that reflects the most frequently occurring ZIP Code for the addresses within that tabulation block. Blocks that do not contain addresses but are completely surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA; those surrounded by multiple ZCTAs will be added to a single ZCTA based on limited buffering performed between multiple ZCTAs. The Census Bureau identifies five-digit ZCTAs using a five-character numeric code that represents the most frequently occurring USPS ZIP Code within that ZCTA, and this code may contain leading zeros.
+There are significant changes to the 2010 ZCTA delineation from that used in 2000. Coverage was extended to include the Island Areas for 2010 so that the United States, Puerto Rico, and the Island Areas have ZCTAs. Unlike 2000, when areas that could not be assigned to a ZCTA were given a generic code ending in “XX” (land area) or “HH” (water area), for 2010 there is no universal coverage by ZCTAs, and only legitimate five-digit areas are defined. The 2010 ZCTAs will better represent the actual Zip Code service areas because the Census Bureau initiated a process before creation of 2010 blocks to add block boundaries that split polygons with large numbers of addresses using different Zip Codes.
+Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The ZCTAs process used primarily residential addresses and was biased towards Zip Codes used for city-style mail delivery, thus there may be Zip Codes that are primarily nonresidential or boxes only that may not have a corresponding ZCTA.",6,,10,
+657,,,us.census.spielman_singleton_segments.X10,Text,Spielman-Singleton Segments: 10 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters",4,,11,"{""categories"": {""Hispanic and Young"": {""description"": ""Predominantly Hispanic, tends to have at most high school education, lots of married couples and single mothers, high mobility within cities, typically takes public transit and tends to rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Average"", ""Black"": ""Low"", ""Asian"": ""Low"", ""White"": ""Low"", ""Hispanic Latino"": ""High""}, ""Language"": {""Speaks english only"": ""Low"", ""Speaks Spanish Low English"": ""High"", ""Speaks Spanish"": ""High""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Average"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""High"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Average"", ""Vacancy"": ""Low"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Average"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Low"", ""5-9 Units"": ""High"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""Low"", ""Housing Upper Value Quantile"": ""Low""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Average"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Avarage"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Average"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""Average"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Wealthy Nuclear Families"": {""description"": ""Highly educated, high levels of bachelor or grad degrees, married couples and some same sex couples, tends to stay put, white or asian, high income, tends to own a car and lives in single family homes with high rents."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Low"", ""Asian"": ""High"", ""White"": ""Average"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Average"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""Low"", ""Female-Female Couples"": ""Average"", ""Married Couples"": ""High"", ""Male-Male Couples"": ""Average""}, ""Housing"": {""Single Family Detached"": ""High"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""High"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""Low"", ""Housing median value"": ""High"", ""Renter Occupied"": ""Low"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""Low"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""High"", ""Median rent"": ""High"", ""Housing lower value quantile"": ""High"", ""50  Units"": ""Low"", ""5-9 Units"": ""Low"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""High"", ""Housing Upper Value Quantile"": ""Low""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Average"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""High"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""Low"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Low"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""Average"", ""Commute 35-39 mins"": ""High""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""Low"", ""Retirement Income"": ""Average"", ""Income Gini"": ""Average""}}}, ""Middle Income, Single Family Home"": {""description"": ""High school and some college education, mix of single parents and married couples, tends to stay put and only moves within cities, English speaking, white, good retirement funds, owns their own car, lives in lower rent homes of mobile homes."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Low"", ""Asian"": ""Low"", ""White"": ""High"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""High"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""Average"", ""Female-Female Couples"": ""Average"", ""Married Couples"": ""Average"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""Low"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""High"", ""Vacancy"": ""Average"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Low"", ""5-9 Units"": ""Low"", ""Built earlier than 1939"": ""Average"", ""Built 2000-2004"": ""Low"", ""Housing Upper Value Quantile"": ""Low""}, ""Education"": {""Less than highschool"": ""Average"", ""Some College / Assc degree"": ""Average"", ""High School"": ""High"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Average"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""Low"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Average"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""Average"", ""Retirement Income"": ""High"", ""Income Gini"": ""Average""}}}, ""Native American"": {""description"": ""Native Amerian, high school educated with some college, commutes for work, single parent families, typical doesn't own a car and lives in low cost rental housing."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""High"", ""Black"": ""Low"", ""Asian"": ""Low"", ""White"": ""Low"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""Low"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""High"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Low"", ""5-9 Units"": ""Low"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""Low"", ""Housing Upper Value Quantile"": ""Average""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Average"", ""High School"": ""High"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Low"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Low"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Wealthy, urban without Kids"": {""description"": ""Typically has an advanced degree, single parents or same sex couples, highly mobile, White, Black or Asian, doesn't own a car and lives in high rental housing."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Low"", ""Black"": ""Average"", ""Asian"": ""High"", ""White"": ""Average"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Average""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""High"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""High""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""High"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""High"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""Average"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""High"", ""Median rent"": ""High"", ""Housing lower value quantile"": ""High"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Average"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""Average"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Average"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""High""}, ""Wealth"": {""Public Assistance"": ""Low"", ""Retirement Income"": ""Low"", ""Income Gini"": ""High""}}}, ""Low income and diverse"": {""description"": ""High school education, single parent families, mobile within cities, multilingual, Black or Asian, typically doesn't own a car, uses public transit, high median rent. "", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Low"", ""Black"": ""High"", ""Asian"": ""High"", ""White"": ""Low"", ""Hispanic Latino"": ""High""}, ""Language"": {""Speaks english only"": ""Low"", ""Speaks Spanish Low English"": ""High"", ""Speaks Spanish"": ""High""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""Average"", ""Built 2005 or later"": ""Average"", ""Median rent"": ""Average"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Average"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Average"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""Low"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Wealthy Old Caucasion"": {""description"": ""Highly educated, married couples and same sex couples, tend to stay put, English speaking, White or Asian, high income and high rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Low"", ""Asian"": ""Average"", ""White"": ""High"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""High"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""Low"", ""Female-Female Couples"": ""Average"", ""Married Couples"": ""Average"", ""Male-Male Couples"": ""High""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""Average"", ""Housing upper value quantile"": ""High"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""High"", ""Renter Occupied"": ""Low"", ""3-4 Units"": ""Low"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""Low"", ""Built 2005 or later"": ""Average"", ""Median rent"": ""High"", ""Housing lower value quantile"": ""High"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""High"", ""5-9 Units"": ""Average""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Average"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""Average"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Average"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""Average"", ""Commute 45-59 mins"": ""Average"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""Average"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Average"", ""Commute 40-44 mins"": ""Average"", ""Commute 90  mins"": ""Average"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""Low"", ""Moved city in the last year"": ""Average""}, ""Wealth"": {""Public Assistance"": ""Low"", ""Retirement Income"": ""High"", ""Income Gini"": ""Average""}}}, ""Low income, mix of minorities"": {""description"": ""Highschool education, single parent familes, mobile within cities, diverse minorities, uses public transit and low rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""High"", ""American Indian"": ""Low"", ""Black"": ""High"", ""Asian"": ""High"", ""White"": ""Low"", ""Hispanic Latino"": ""High""}, ""Language"": {""Speaks english only"": ""Low"", ""Speaks Spanish Low English"": ""High"", ""Speaks Spanish"": ""High""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""High"", ""20-49 Units"": ""High"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Average"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""Low"", ""Built 2000-2004"": ""Average"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""Average"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Low"", ""Commute 60-89 mins"": ""High"", ""Commute 30-34 mins"": ""High"", ""No Car"": ""Average"", ""Commute 45-59 mins"": ""High"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""Low"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""Low"", ""Commute 40-44 mins"": ""High"", ""Commute 90  mins"": ""High"", ""Commute 35-39 mins"": ""Average""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""Average""}}}, ""Low income, African American"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""High"", ""Asian"": ""Low"", ""White"": ""Low"", ""Hispanic Latino"": ""Low""}, ""description"": ""African American, low income, high school education, single parent famalies, mobile within cities, uses public transport."", ""Language"": {""Speaks english only"": ""High"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""Low"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Average"", ""10-20 Units"": ""Low"", ""Housing upper value quantile"": ""Low"", ""Single Family Attached"": ""Low"", ""20-49 Units"": ""Low"", ""Housing median value"": ""Low"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""High"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Low"", ""50  Units"": ""Average"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Low"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""High"", ""Some College / Assc degree"": ""Low"", ""High School"": ""High"", ""Grad Degree"": ""Low"", ""Bachelor Degree"": ""Low""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""High"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Average"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Average"", ""Commute 10-14 mins"": ""High"", ""Public Transport"": ""High"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Low"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""Low""}, ""Wealth"": {""Public Assistance"": ""High"", ""Retirement Income"": ""Low"", ""Income Gini"": ""High""}}, ""Residential Institutions"": {""description"": ""Advanced education, highly mobile, White, Black or Asian, public transit, low rent."", ""details"": {""Ethnicity"": {""Not a Citizen"": ""Low"", ""American Indian"": ""Low"", ""Black"": ""Average"", ""Asian"": ""High"", ""White"": ""Average"", ""Hispanic Latino"": ""Low""}, ""Language"": {""Speaks english only"": ""Average"", ""Speaks Spanish Low English"": ""Low"", ""Speaks Spanish"": ""Low""}, ""Family Structure"": {""Single Mothers"": ""High"", ""Female-Female Couples"": ""High"", ""Married Couples"": ""Low"", ""Male-Male Couples"": ""Low""}, ""Housing"": {""Single Family Detached"": ""Low"", ""10-20 Units"": ""High"", ""Housing upper value quantile"": ""Average"", ""Single Family Attached"": ""Average"", ""20-49 Units"": ""High"", ""Housing median value"": ""Average"", ""Renter Occupied"": ""High"", ""3-4 Units"": ""High"", ""Mobile Homes"": ""Low"", ""Vacancy"": ""Average"", ""Building with 2 Units"": ""High"", ""Built 2005 or later"": ""Low"", ""Median rent"": ""Low"", ""Housing lower value quantile"": ""Average"", ""50  Units"": ""High"", ""Built earlier than 1939"": ""High"", ""Built 2000-2004"": ""Low"", ""5-9 Units"": ""High""}, ""Education"": {""Less than highschool"": ""Low"", ""Some College / Assc degree"": ""Average"", ""High School"": ""Low"", ""Grad Degree"": ""High"", ""Bachelor Degree"": ""High""}, ""Commuting"": {""Commute 25-29 mins"": ""Low"", ""Commute 15-19 mins"": ""Average"", ""Commute 60-89 mins"": ""Low"", ""Commute 30-34 mins"": ""Low"", ""No Car"": ""High"", ""Commute 45-59 mins"": ""Low"", ""Commute 20-24 mins"": ""Low"", ""Commute 10-14 mins"": ""High"", ""Public Transport"": ""Low"", ""Commute 5-9 mins"": ""High"", ""Commute 40-44 mins"": ""Low"", ""Commute 90  mins"": ""Low"", ""Commute 35-39 mins"": ""Low""}, ""Residential Stability"": {""Moved home within city in the last year"": ""High"", ""Moved city in the last year"": ""High""}, ""Wealth"": {""Public Assistance"": ""Average"", ""Retirement Income"": ""Low"", ""Income Gini"": ""High""}}}}}"
+658,,,us.census.spielman_singleton_segments.X31,Text,Spielman-Singleton Segments: 31 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters",0,,11,
+698,,,us.census.lodes.jobs_56_admin_support_waste_management,Integer,Administrative and Support and Waste Management and Remediation Services Jobs,Number of jobs in NAICS sector 56 (Administrative and Support and Waste Management and Remediation Services) ,4,sum,1,
+699,,,us.census.lodes.jobs_61_educational_services,Integer,Educational Services Jobs,Number of jobs in NAICS sector 61 (Educational Services) ,4,sum,1,
+617,,,us.census.tiger.school_district_elementary,Geometry,Elementary School District,"School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
+The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
+The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
+The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.",3,,10,
+618,,,us.census.tiger.school_district_unified,Geometry,Unified School District,"School Districts are geographic entities within which state, county, local officials, the Bureau of Indian Affairs, or the U.S. Department of Defense provide public educational services for the area’s residents. The Census Bureau obtains the boundaries, names, local education agency codes, and school district levels for school districts from state and local school officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children “at risk” within each school district, county, and state. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.
+The Census Bureau tabulates data for three types of school districts: elementary, secondary, and unified. Each school district is assigned a five-digit code that is unique within state. School district codes are the local education agency number assigned by the Department of Education and are not necessarily in alphabetical order by school district name.
+The elementary school districts provide education to the lower grade/age levels and the secondary school districts provide education to the upper grade/age levels. Unified school districts provide education to children of all school ages in their service areas. In general, where there is a unified school district, no elementary or secondary school district exists; and where there is an elementary school district, the secondary school district may or may not exist.
+The Census Bureau’s representation of school districts in various data products is based both on the grade range that a school district operates and also the grade range for which the school district is financially responsible. For example, a school district is defined as an elementary school district if its operational grade range is less than the full kindergarten through 12 or prekindergarten through 12 grade range (for example, K–6 or pre-K–8). These elementary school districts do not provide direct educational services for grades 7–12, 9–12, or similar ranges. Some elementary school districts are financially responsible for the education of all school-aged children within their service areas and rely on other school districts to provide service for those grade ranges that are not operated by these elementary school districts. In these situations, in order to allocate all school-aged children to these school districts, the secondary school district code field is blank. For elementary school districts where the operational grade range and financially responsible grade range are the same, the secondary school district code field will contain a secondary school district code. There are no situations where an elementary school district does not exist and a secondary school district exists in Census Bureau records.",5,,10,
+619,,,us.zillow.AllHomes_MedianRentalPricePerSqft,Numeric,Median rental price per square foot for All homes,"Median of the value (US Dollars) of all homes per square foot. This number is calculated by taking the estimated home value for each home in a given region and dividing it by the home's square footage. Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.",1,median,5,
+620,,,us.zillow.Sfr_MedianRentalPricePerSqft,Numeric,Median rental price per square foot for Single Family residence rental,"Median of the value (US Dollars) of all homes per square foot. This number is calculated by taking the estimated home value for each home in a given region and dividing it by the home's square footage. Single family residences are detached, free-standing residential buildings. ",1,median,5,
+621,,,us.zillow.SingleFamilyResidenceRental_Zri,Numeric,Zillow Rental Index for Single Family residence rental,"Similar to Zillow's ZHVI, the Zillow Rent Index (ZRI) tracks the monthly median rent (in US Dollars) in different geographical regions. In general, each ZRI time series beginds in November, 2010.  See `Zillow's methodology <http://www.zillow.com/research/zillow-rent-index-methodology-2393/>`_ for more information. Single Family residence rental is defined as detached, free-standing residential buildings which are rented out.",1,index,5,
+622,,,us.zillow.AllHomesPlusMultifamily_Zri,Numeric,Zillow Rental Index for All homes plus multifamily,"Similar to Zillow's ZHVI, the Zillow Rent Index (ZRI) tracks the monthly median rent (in US Dollars) in different geographical regions. In general, each ZRI time series beginds in November, 2010.  See `Zillow's methodology <http://www.zillow.com/research/zillow-rent-index-methodology-2393/>`_ for more information. In addition to ""All homes"", which Zillow defines as single-family, condominium and co-operative homes with a county record, this group includes units in buildings with 5 or more housing units that are not a condominiums or co-ops.",1,index,5,
+623,,,es.ine.pop_0_4,Numeric,Population age 0 to 4,,3,,6,
+624,,,es.ine.pop_5_9,Numeric,Population age 5 to 9,,3,,6,
+625,,,es.ine.pop_10_14,Numeric,Population age 10 to 14,,3,,6,
+626,,,es.ine.pop_15_19,Numeric,Population age 15 to 19,,3,,6,
+627,,,es.ine.pop_20_24,Numeric,Population age 20 to 24,,3,,6,
+628,,,es.ine.pop_25_29,Numeric,Population age 25 to 29,,3,,6,
+629,,,es.ine.pop_30_34,Numeric,Population age 30 to 34,,3,,6,
+630,,,es.ine.pop_35_39,Numeric,Population age 35 to 39,,3,,6,
+631,,,es.ine.pop_40_44,Numeric,Population age 40 to 44,,3,,6,
+632,,,es.ine.pop_45_49,Numeric,Population age 45 to 49,,3,,6,
+633,,,es.ine.pop_50_54,Numeric,Population age 50 to 54,,3,,6,
+634,,,es.ine.pop_55_59,Numeric,Population age 55 to 59,,3,,6,
+635,,,es.ine.pop_60_64,Numeric,Population age 60 to 64,,3,,6,
+636,,,es.ine.pop_65_69,Numeric,Population age 65 to 69,,3,,6,
+637,,,es.ine.pop_70_74,Numeric,Population age 70 to 74,,3,,6,
+638,,,es.ine.pop_75_79,Numeric,Population age 75 to 79,,3,,6,
+639,,,es.ine.pop_80_84,Numeric,Population age 80 to 84,,3,,6,
+640,,,es.ine.pop_85_89,Numeric,Population age 85 to 89,,3,,6,
+641,,,es.ine.pop_100_more,Numeric,Population age 100 or more,,3,,6,
+642,,,whosonfirst.wof_continent_geom,Geometry,Continents,,5,,4,
+643,,,whosonfirst.wof_continent_id,Numeric,Who's on First ID,,0,,4,
+644,,,whosonfirst.wof_continent_name,Text,,,0,,4,
+645,,,whosonfirst.wof_country_geom,Geometry,Countries,,5,,4,
+646,,,whosonfirst.wof_country_id,Numeric,Who's on First ID,,0,,4,
+647,,,whosonfirst.wof_country_name,Text,,,0,,4,
+648,,,whosonfirst.wof_disputed_geom,Geometry,Disputed Areas,,5,,4,
+649,,,whosonfirst.wof_disputed_id,Numeric,Who's on First ID,,0,,4,
+659,,,us.census.spielman_singleton_segments.X55,Text,Spielman-Singleton Segments: 55 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 55 clusters",7,,11,"{""categories"": {""Middle Class, Educated, Suburban, Mixed Race"": {""description"": """", ""details"": {}}, ""Low Income on Urban Periphery"": {""description"": """", ""details"": {}}, ""Suburban, Young and Low-income"": {""description"": """", ""details"": {}}, ""low-income, urban, young, unmarried"": {""description"": """", ""details"": {}}, ""Low education, mainly suburban"": {""description"": """", ""details"": {}}, ""Young, working class and rural"": {""description"": """", ""details"": {}}, ""Low-Income with gentrification"": {""description"": """", ""details"": {}}, ""High school education Long Commuters, Black, White Hispanic mix"": {""description"": """", ""details"": {}}, ""Rural, Bachelors or college degree, Rent owned mix"": {""description"": """", ""details"": {}}, ""Rural,High School Education, Owns property"": {""description"": """", ""details"": {}}, ""Young, City based renters in Sparse neighborhoods, Low poverty"": {""description"": """", ""details"": {}}, ""Predominantly black, high high school attainment, home owners"": {""description"": """", ""details"": {}}, ""White and minority mix multilingual, mixed income / education. Married"": {""description"": """", ""details"": {}}, ""Hispanic Black mix multilingual, high poverty, renters, uses public transport"": {""description"": """", ""details"": {}}, ""Predominantly black renters, rent own mix"": {""description"": """", ""details"": {}}, ""Lower Middle Income with higher rent burden"": {""description"": """", ""details"": {}}, ""Black and mixed community with rent burden"": {""description"": """", ""details"": {}}, ""Lower Middle Income with affordable housing"": {""description"": """", ""details"": {}}, ""Relatively affordable, satisfied lower middle class"": {""description"": """", ""details"": {}}, ""Satisfied Lower Middle Income Higher Rent Costs"": {""description"": """", ""details"": {}}, ""Suburban/Rural Satisfied, decently educated lower middle class"": {""description"": """", ""details"": {}}, ""Struggling lower middle class with rent burden"": {""description"": """", ""details"": {}}, ""Older white home owners, less comfortable financially"": {""description"": """", ""details"": {}}, ""Older home owners, more financially comfortable, some diversity"": {""description"": """", ""details"": {}}, ""Younger, poorer,single parent family Native Americans"": {""description"": """", ""details"": {}}, ""Older, middle income Native Americans once married and Educated"": {""description"": """", ""details"": {}}, ""Older, mixed race professionals"": {""description"": """", ""details"": {}}, ""Works from home, Highly Educated, Super Wealthy"": {""description"": """", ""details"": {}}, ""Retired Grandparents"": {""description"": """", ""details"": {}}, ""Wealthy and Rural Living"": {""description"": """", ""details"": {}}, ""Wealthy, Retired Mountains/Coasts"": {""description"": """", ""details"": {}}, ""Wealthy Diverse Suburbanites On the Coasts"": {""description"": """", ""details"": {}}, ""Retirement Communitties"": {""description"": """", ""details"": {}}, ""Urban - Inner city"": {""description"": """", ""details"": {}}, ""Rural families"": {""description"": """", ""details"": {}}, ""College towns"": {""description"": """", ""details"": {}}, ""College town with poverty"": {""description"": """", ""details"": {}}, ""University campus wider area"": {""description"": """", ""details"": {}}, ""City Outskirt University Campuses"": {""description"": """", ""details"": {}}, ""City Center University Campuses"": {""description"": """", ""details"": {}}, ""Lower educational attainment, Homeowner, Low rent"": {""description"": """", ""details"": {}}, ""Younger, Long Commuter in dense neighborhood"": {""description"": """", ""details"": {}}, ""Long commuters White black mix"": {""description"": """", ""details"": {}}, ""Low rent in built up neighborhoods"": {""description"": """", ""details"": {}}, ""Renters within cities, mixed income areas, White/Hispanic mix, Unmarried"": {""description"": """", ""details"": {}}, ""Older Home owners with high income"": {""description"": """", ""details"": {}}, ""Older home owners and very high income"": {""description"": """", ""details"": {}}, ""White, Asian Mix Big City Burbs Dwellers"": {""description"": """", ""details"": {}}, ""Bachelors degree Mid income With Mortgages"": {""description"": """", ""details"": {}}, ""Asian Hispanic Mix, Mid income"": {""description"": """", ""details"": {}}, ""Bachelors degree Higher income Home Owners"": {""description"": """", ""details"": {}}, ""Wealthy city commuters"": {""description"": """", ""details"": {}}, ""New Developments"": {""description"": """", ""details"": {}}, ""Very wealthy, multiple million dollar homes"": {""description"": """", ""details"": {}}, ""High rise, dense urbanites"": {""description"": """", ""details"": {}}}}"
+660,,,us.census.spielman_singleton_segments.X2,Text,Spielman-Singleton Segments: 2 Clusters,"Sociodemographic classes from Spielman and Singleton 2015, 2 clusters",0,,11,
+661,,,us.census.tiger.census_tract_geoid,Text,US Census Tracts Geoids,,0,,6,
+662,,,us.census.tiger.county_geoid,Text,US County Geoids,,0,,6,
+663,,,us.census.tiger.puma_geoid,Text,US Census Public Use Microdata Areas Geoids,,0,,6,
+664,,,us.census.tiger.state_geoid,Text,US States Geoids,,0,,6,
+665,,,us.census.tiger.zcta5_geoid,Text,US Census Zip Code Tabulation Areas Geoids,,0,,6,
+666,,,us.census.tiger.block_geoid,Text,US Census Blocks Geoids,,0,,6,
+667,,,us.ny.nyc.opendata.name,Text,Name,,0,,4,
+668,,,us.ny.nyc.opendata.address1,Text,Address 1,,0,,4,
+669,,,us.ny.nyc.opendata.address2,Text,Address 2,,0,,4,
+670,,,us.ny.nyc.opendata.country,Text,country,,0,,4,
+671,,,us.ny.nyc.opendata.city,Text,city,,0,,4,
+672,,,us.ny.nyc.opendata.state,Text,state,,0,,4,
+673,,,us.ny.nyc.opendata.zip,Text,zip,,0,,4,
+674,,,us.ny.nyc.opendata.us.ny.nyc.opendata.good_through_date,Date,Good Through Date,,0,,4,
+675,,,us.ny.nyc.opendata.us.ny.nyc.opendata.record_type,Text,Record Type,,0,,4,
+676,,,us.ny.nyc.opendata.us.ny.nyc.opendata.document_id,Text,Document ID,,0,,4,
+677,,,us.census.lodes.jobs_firm_age_500_more_employees,Integer,Jobs at firms with 500 or more Employees,Number of jobs for workers at firms with Firm Size: 500 or more Employees,1,sum,1,
+678,,,us.census.lodes.total_jobs,Integer,Total Jobs,Total number of jobs,8,sum,1,
+679,,,us.census.lodes.jobs_age_29_or_younger,Integer,Jobs for workers age 29 or younger,Number of jobs of workers age 29 or younger,3,sum,1,
+680,,,us.census.lodes.jobs_age_30_to_54,Integer,Jobs for workers age 30 to 54,Number of jobs for workers age 30 to 54,3,sum,1,
+681,,,us.census.lodes.jobs_age_55_or_older,Integer,Jobs for workers age 55 or older,Number of jobs for workers age 55 or older,3,sum,1,
+682,,,us.census.lodes.jobs_earning_15000_or_less,Integer,"Jobs earning up to $15,000 per year","Number of jobs with earnings $1250/month or less ($15,000 per year)",3,sum,1,
+683,,,us.census.lodes.jobs_earning_15001_to_40000,Integer,"Jobs earning $15,000 to $40,000 per year","Number of jobs with earnings $1251/month to $3333/month ($15,000 to $40,000 per year)",5,sum,1,
+684,,,us.census.lodes.jobs_earning_40001_or_more,Integer,"Jobs with earnings greater than $40,000 per year",Number of Jobs with earnings greater than $3333/month,5,sum,1,
+685,,,us.census.lodes.jobs_11_agriculture_forestry_fishing,Integer,"Agriculture, Forestry, Fishing and Hunting jobs","Number of jobs in NAICS sector 11 (Agriculture, Forestry, Fishing and Hunting)",4,sum,1,
+686,,,us.census.lodes.jobs_21_mining_quarrying_oil_gas,Integer,"Mining, Quarrying, and Oil and Gas Extraction jobs","Number of jobs in NAICS sector 21 (Mining, Quarrying, and Oil and Gas Extraction) ",4,sum,1,
+687,,,us.census.lodes.jobs_22_utilities,Integer,Utilities Jobs,Number of jobs in NAICS sector 22 (Utilities) ,4,sum,1,
+688,,,us.census.lodes.jobs_23_construction,Integer,Construction Jobs,Number of jobs in NAICS sector 23 (Construction) ,4,sum,1,
+689,,,us.census.lodes.jobs_31_33_manufacturing,Integer,Manufacturing Jobs,Number of jobs in NAICS sector 31-33 (Manufacturing) ,4,sum,1,
+690,,,us.census.lodes.jobs_42_wholesale_trade,Integer,Wholesale Trade Jobs,Number of jobs in NAICS sector 42 (Wholesale Trade) ,4,sum,1,
+691,,,us.census.lodes.jobs_44_45_retail_trade,Integer,Retail Trade Jobs,Number of jobs in NAICS sector 44-45 (Retail Trade) ,4,sum,1,
+692,,,us.census.lodes.jobs_48_49_transport_warehousing,Integer,Transport and Warehousing Jobs,Number of jobs in NAICS sector 48-49 (Transportation and Warehousing) ,4,sum,1,
+693,,,us.census.lodes.jobs_51_information,Integer,Information Jobs,Number of jobs in NAICS sector 51 (Information) ,4,sum,1,
+694,,,us.census.lodes.jobs_52_finance_and_insurance,Integer,Finance and Insurance Jobs,Number of jobs in NAICS sector 52 (Finance and Insurance),4,sum,1,
+695,,,us.census.lodes.jobs_53_real_estate_rental_leasing,Integer,Real Estate and Rental and Leasing Jobs,Number of jobs in NAICS sector 53 (Real Estate and Rental and Leasing) ,4,sum,1,
+696,,,us.census.lodes.jobs_54_professional_scientific_tech_services,Integer,"Professional, Scientific, and Technical Services Jobs","Number of jobs in NAICS sector 54 (Professional, Scientific, and Technical Services) ",4,sum,1,
+697,,,us.census.lodes.jobs_55_management_of_companies_enterprises,Integer,Management of Companies and Enterprises Jobs,Number of jobs in NAICS sector 55 (Management of Companies and Enterprises) ,4,sum,1,
+700,,,us.census.lodes.jobs_62_healthcare_social_assistance,Integer,Health Care and Social Assistance Jobs,Number of jobs in NAICS sector 62 (Health Care and Social Assistance) ,4,sum,1,
+701,,,us.census.lodes.jobs_71_arts_entertainment_recreation,Integer,"Arts, Entertainment, and Recreation jobs","Number of jobs in NAICS sector 71 (Arts, Entertainment, and Recreation) ",4,sum,1,
+702,,,us.census.lodes.jobs_72_accommodation_and_food,Integer,Accommodation and Food Services jobs,Number of jobs in NAICS sector 72 (Accommodation and Food Services) ,4,sum,1,
+703,,,us.census.lodes.jobs_81_other_services_except_public_admin,Integer,Other Services (except Public Administration) jobs,Jobs in NAICS sector 81 (Other Services [except Public Administration]),4,sum,1,
+704,,,us.census.lodes.jobs_92_public_administration,Integer,Public Administration jobs,Number of jobs in NAICS sector 92 (Public Administration) ,4,sum,1,
+705,,,us.census.lodes.jobs_white,Integer,Jobs held by workers who are white,"Number of jobs for workers with Race: White, Alone",2,sum,1,
+706,,,us.census.lodes.jobs_black,Integer,Jobs held by workers who are black,Number of jobs for workers with Race: Black or African American Alone,2,sum,1,
+707,,,us.census.lodes.jobs_amerindian,Integer,Jobs held by workers who are American Indian or Alaska Native Alone,Number of jobs for workers with Race: American Indian or Alaska Native Alone,0,sum,1,
+708,,,us.census.lodes.jobs_asian,Integer,Jobs held by workers who are Asian,Number of jobs for workers with Race: Asian Alone,2,sum,1,
+709,,,us.census.lodes.jobs_hawaiian,Integer,Jobs held by workers who are Native Hawaiian or Other Pacific Islander Alone,Number of jobs for workers with Race: Native Hawaiian or Other Pacific Islander Alone,0,sum,1,
+710,,,us.census.lodes.jobs_two_or_more_races,Integer,Jobs held by workers who reported Two or More Race Groups,Number of jobs for workers with Race: Two or More Race Groups,0,sum,1,
+711,,,us.census.lodes.jobs_not_hispanic,Integer,Jobs held by workers who are Not Hispanic or Latino,Number of jobs for workers with Ethnicity: Not Hispanic or Latino,0,sum,1,
+712,,,us.census.lodes.jobs_hispanic,Integer,Jobs held by workers who are Hispanic or Latino,Number of jobs for workers with Ethnicity: Hispanic or Latino,1,sum,1,
+713,,,us.census.lodes.jobs_less_than_high_school,Integer,Jobs held by workers who did not complete high school,Number of jobs for workers with Educational Attainment: Less than high school,4,sum,1,
+714,,,us.census.lodes.jobs_high_school,Integer,Jobs held by workers who completed high school,"Number of jobs for workers with Educational Attainment: High school or equivalent, no college",4,sum,1,
+715,,,us.census.lodes.jobs_some_college,Integer,Jobs held by workers who completed some college or Associate degree,Number of jobs for workers with Educational Attainment: Some college or Associate degree,4,sum,1,
+716,,,us.census.lodes.jobs_bachelors_or_advanced,Integer,Jobs held by workers who obtained a Bachelor's degree or advanced degree,Number of jobs for workers with Educational Attainment: Bachelor's degree or advanced degree,4,sum,1,
+717,,,us.census.lodes.jobs_male,Integer,Jobs held by men,Number of jobs for male workers,2,sum,1,
+718,,,us.census.lodes.jobs_female,Integer,Jobs held by women,Number of jobs for female workers,2,sum,1,
+719,,,us.census.lodes.jobs_firm_age_0_1_years,Integer,Jobs at firms aged 0-1 Years,Number of jobs for workers at firms with Firm Age: 0-1 Years,1,sum,1,
+720,,,us.census.lodes.jobs_firm_age_2_3_years,Integer,Jobs at firms aged 2-3 Years,Number of jobs for workers at firms with Firm Age: 2-3 Years,1,sum,1,
+721,,,us.census.lodes.jobs_firm_age_4_5_years,Integer,Jobs at firms aged 4-5 Years,Number of jobs for workers at firms with Firm Age: 4-5 Years,1,sum,1,
+722,,,us.census.lodes.jobs_firm_age_6_10_years,Integer,Jobs at firms aged 6-10 years,Number of jobs for workers at firms with Firm Age: 6-10 Years,1,sum,1,
+723,,,us.census.lodes.jobs_firm_age_11_more_years,Integer,Jobs at firms aged 11 or more Years,Number of jobs for workers at firms with Firm Age: 11 or more Years,1,sum,1,
+724,,,us.census.lodes.jobs_firm_age_0_19_employees,Integer,Jobs at firms with 0-19 Employees,Number of jobs for workers at firms with Firm Size: 0-19 Employees,1,sum,1,
+725,,,us.census.lodes.jobs_firm_age_20_49_employees,Integer,Jobs at firms with 20-49 Employees,Number of jobs for workers at firms with Firm Size: 20-49 Employees,1,sum,1,
+726,,,us.census.lodes.jobs_firm_age_50_249_employees,Integer,Jobs at firms with 0-249 Employees,Number of jobs for workers at firms with Firm Size: 50-249 Employees,1,sum,1,
+727,,,us.census.lodes.jobs_firm_age_250_499_employees,Integer,Jobs at firms with 250-499 Employees,Number of jobs for workers at firms with Firm Size: 250-499 Employees,1,sum,1,
+728,,,us.census.lodes.createdate,Date,"Date on which data was created, formatted as YYYYMMDD ",,0,,1,
+729,,,us.census.acs.B01001015,Numeric,Men age 45 to 49,The male population between the age of fourty-five years to fourty-nine years within the specified area.,1,sum,10,
+730,,,us.census.acs.B15001029,Numeric,"Men age 45 to 64 who attained between 9th and 12th grade, no diploma",,0,sum,10,
+731,,,us.census.acs.B15001030,Numeric,Men age 45 to 64 who completed high school or obtained GED,,0,sum,10,
+732,,,us.census.acs.B15001031,Numeric,"Men age 45 to 64 who completed some college, no degree",,0,sum,10,
+733,,,us.census.tiger.school_district_secondary_geoid,Text,Secondary School District Geoids,,0,,6,
+734,,,us.census.tiger.school_district_elementary_geoid,Text,Elementary School District Geoids,,0,,6,
+735,,,us.census.tiger.school_district_unified_geoid,Text,Unified School District Geoids,,0,,6,
+736,,,us.census.acs.B01001001_quantile,Numeric,Quantile:Total Population,The total number of all people living in a given geographic area.  This is a very useful catch-all denominator when calculating rates.,0,quantile,3,
+737,,,us.census.acs.B08006008_quantile,Numeric,Quantile:Commuters by Public Transportation,"The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation.  This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.",0,quantile,3,
+738,,,us.census.acs.B01001026_quantile,Numeric,Quantile:Female Population,The number of people within each geography who are female.,1,quantile,4,
+739,,,us.census.acs.B08134004_quantile,Numeric,Quantile:Number of workers with a commute between 15 and 19 minutes,The number of workers over the age of 16 who do not work from home and commute in between 15 and 19 minutes in a geographic area,0,quantile,3,
+740,,,us.census.acs.B16001002_quantile,Numeric,Quantile:Speaks only English at Home,The number of people in a geographic area over age 5 who speak only English at home.,1,quantile,4,
+741,,,us.census.acs.B23008002_quantile,Numeric,Quantile:Families with young children (under 6 years of age),,1,quantile,4,
+742,,,us.census.acs.B08134003_quantile,Numeric,Quantile:Number of workers with a commute between 10 and 14 minutes,The number of workers over the age of 16 who do not work from home and commute in between 10 and 14 minutes in a geographic area,0,quantile,3,
+743,,,us.census.acs.B08134005_quantile,Numeric,Quantile:Number of workers with a commute between 20 and 24 minutes,The number of workers over the age of 16 who do not work from home and commute in between 20 and 24 minutes in a geographic area,0,quantile,3,
+744,,,us.census.acs.B08134006_quantile,Numeric,Quantile:Number of workers with a commute between 25 and 29 minutes,The number of workers over the age of 16 who do not work from home and commute in between 25 and 29 minutes in a geographic area,0,quantile,3,
+745,,,us.census.acs.B23008003_quantile,Numeric,Quantile:Two-parent families with young children (under 6 years of age),,1,quantile,4,
+746,,,us.census.acs.B08134007_quantile,Numeric,Quantile:Number of workers with a commute between 30 and 34 minutes,The number of workers over the age of 16 who do not work from home and commute in between 30 and 34 minutes in a geographic area,0,quantile,3,
+747,,,us.census.acs.B08134009_quantile,Numeric,Quantile:Number of workers with a commute between 45 and 59 minutes,The number of workers over the age of 16 who do not work from home and commute in between 45 and 59 minutes in a geographic area,0,quantile,3,
+748,,,us.census.acs.B08134008_quantile,Numeric,Quantile:Number of workers with a commute between 35 and 44 minutes,The number of workers over the age of 16 who do not work from home and commute in between 35 and 44 minutes in a geographic area,1,quantile,4,
+749,,,us.census.acs.B08134010_quantile,Numeric,Quantile:Number of workers with a commute of over 60 minutes,The number of workers over the age of 16 who do not work from home and commute in over 60 minutes in a geographic area,1,quantile,4,
+750,,,us.census.acs.B08135001_quantile,Numeric,Quantile:Aggregate travel time to work,The total number of minutes every worker over the age of 16 who did not work from home spent spent commuting to work in one day in a geographic area,1,quantile,4,
+751,,,us.census.acs.B19001002_quantile,Numeric,"Quantile:Households with income less than $10,000","The number of households in a geographic area whose annual income was less than $10,000.",1,quantile,4,
+752,,,us.census.acs.B19001003_quantile,Numeric,"Quantile:Households with income of $10,000 to $14,999","The number of households in a geographic area whose annual income was between $10,000 and $14,999.",1,quantile,4,
+753,,,us.census.acs.B19001004_quantile,Numeric,"Quantile:Households with income of $15,000 to $19,999","The number of households in a geographic area whose annual income was between $15,000 and $19,999.",1,quantile,4,
+754,,,us.census.acs.B19001005_quantile,Numeric,"Quantile:Households with income of $20,000 To $24,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",1,quantile,4,
+755,,,us.census.acs.B19001006_quantile,Numeric,"Quantile:Households with income of $25,000 To $29,999","The number of households in a geographic area whose annual income was between $20,000 and $24,999.",1,quantile,4,
+756,,,us.census.acs.B19001007_quantile,Numeric,"Quantile:Households with income of $30,000 To $34,999","The number of households in a geographic area whose annual income was between $30,000 and $34,999.",1,quantile,4,
+757,,,us.census.acs.B19001008_quantile,Numeric,"Quantile:Households with income of $35,000 To $39,999","The number of households in a geographic area whose annual income was between $35,000 and $39,999.",1,quantile,4,
+758,,,us.census.acs.B19001017_quantile,Numeric,"Quantile:Households with income of $200,000 Or More","The number of households in a geographic area whose annual income was more than $200,000.",1,quantile,4,
+759,,,us.census.tiger.block,Geometry,US Census Blocks,"Census blocks are statistical areas bounded by visible features, such as streets, roads, streams, and railroad tracks, and by nonvisible boundaries, such as selected property lines and city, township, school district, and county limits and short line-of-sight extensions of streets and roads. Generally, census blocks are small in area; for example, a block in a city bounded on all sides by streets. Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features, such as roads, streams, and transmission lines. In remote areas, census blocks may encompass hundreds of square miles. Census blocks cover the entire territory of the United States, Puerto Rico, and the Island Areas. Census blocks nest within all other tabulated census geographic entities and are the basis for all tabulated data.",0,,10,
+760,,,us.census.acs.B23025007_quantile,Numeric,Quantile:Population Not in Labor Force,"The number of people in each geography who are 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, homemakers, retired workers, seasonal workers interviewed in an off season who were not looking for work, institutionalized people, and people doing only incidental unpaid family work (less than 15 hours during the reference week).",1,quantile,4,
+761,,,us.census.tiger.place_geoid,Text,Incorporated Places Geoids,,0,,6,
 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -7686,352 +7975,1229 @@ Census tract boundaries generally follow visible and identifiable features. They
 
 COPY "obs_column_tag" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,column_id,tag_id
+50,,,es.ine.t1_1,tags.age_gender
+1146,,,us.census.tiger.state,tags.boundary
 1,,,us.census.spielman_singleton_segments.X10,us.census.acs.segments
-2,,,whosonfirst.wof_continent_geom,whosonfirst.global
-3,,,whosonfirst.wof_country_geom,whosonfirst.global
-4,,,whosonfirst.wof_region_geom,whosonfirst.global
-5,,,whosonfirst.wof_marinearea_geom,whosonfirst.global
-6,,,us.zillow.SingleFamilyResidence_Zhvi,us.zillow.indexes
-7,,,us.zillow.AllHomes_Zhvi,us.zillow.indexes
-8,,,us.zillow.AllHomes_MedianValuePerSqft,us.zillow.indexes
-9,,,us.zillow.AllHomes_MedianRentalPricePerSqft,us.zillow.indexes
-10,,,us.zillow.Sfr_MedianRentalPricePerSqft,us.zillow.indexes
-11,,,us.zillow.SingleFamilyResidenceRental_Zri,us.zillow.indexes
-12,,,us.zillow.AllHomesPlusMultifamily_Zri,us.zillow.indexes
-13,,,us.census.acs.B01003001,us.census.acs.demographics
-14,,,us.census.acs.B01003001,tags.denominator
-15,,,us.census.acs.B01003001,tags.population
-16,,,us.census.acs.B08301010,us.census.acs.demographics
-17,,,us.census.acs.B08301010,tags.transportation
-18,,,us.census.acs.B08303004,us.census.acs.demographics
-19,,,us.census.acs.B08303004,tags.income_education_employment
-20,,,us.census.acs.B08303005,us.census.acs.demographics
-21,,,us.census.acs.B08303005,tags.income_education_employment
-22,,,us.census.acs.B08303006,us.census.acs.demographics
-23,,,us.census.acs.B08303006,tags.income_education_employment
-24,,,us.census.acs.B08303007,us.census.acs.demographics
-25,,,us.census.acs.B08303007,tags.income_education_employment
-26,,,us.census.acs.B08303008,us.census.acs.demographics
-27,,,us.census.acs.B08303008,tags.income_education_employment
-28,,,us.census.acs.B08303011,us.census.acs.demographics
-29,,,us.census.acs.B08303011,tags.income_education_employment
-30,,,us.census.spielman_singleton_segments.X55,us.census.acs.segments
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+1067,,,es.ine.t19_7,tags.housing
+1068,,,es.ine.t19_7,tags.spain
+1069,,,es.ine.t19_8,tags.housing
+1070,,,es.ine.t19_8,tags.spain
+1071,,,es.ine.t19_9,tags.housing
+1072,,,es.ine.t19_9,tags.spain
+1073,,,es.ine.t19_10,tags.housing
+1074,,,es.ine.t19_10,tags.spain
+1075,,,es.ine.t20_1,tags.housing
+1076,,,es.ine.t20_1,tags.spain
+1077,,,es.ine.t20_2,tags.housing
+1078,,,es.ine.t20_2,tags.spain
+1079,,,es.ine.t20_3,tags.housing
+1080,,,es.ine.t20_3,tags.spain
+1081,,,es.ine.t20_4,tags.housing
+1082,,,es.ine.t20_4,tags.spain
+1083,,,es.ine.t20_5,tags.housing
+1084,,,es.ine.t20_5,tags.spain
+1085,,,es.ine.t20_6,tags.housing
+1086,,,es.ine.t20_6,tags.spain
+1087,,,es.ine.t20_7,tags.housing
+1088,,,es.ine.t20_7,tags.spain
+1089,,,es.ine.t20_8,tags.housing
+1090,,,es.ine.t20_8,tags.spain
+1091,,,es.ine.t21_1,tags.families
+1092,,,es.ine.t21_1,tags.spain
+1093,,,es.ine.t22_6,tags.families
+1094,,,es.ine.t22_6,tags.spain
+1095,,,es.ine.t22_1,tags.families
+1096,,,es.ine.t22_1,tags.spain
+1097,,,es.ine.t22_2,tags.families
+1098,,,es.ine.t22_2,tags.spain
+1099,,,es.ine.t22_3,tags.families
+1100,,,es.ine.t22_3,tags.spain
+1101,,,es.ine.t22_4,tags.families
+1102,,,es.ine.t22_4,tags.spain
+1103,,,es.ine.t22_5,tags.families
+1104,,,es.ine.t22_5,tags.spain
+1105,,,es.ine.pop_100_more,tags.spain
+1106,,,es.ine.pop_100_more,tags.age_gender
+1107,,,es.ine.pop_0_4,tags.age_gender
+1108,,,es.ine.pop_5_9,tags.age_gender
+1109,,,es.ine.pop_10_14,tags.age_gender
+1110,,,es.ine.pop_15_19,tags.age_gender
+1111,,,es.ine.pop_20_24,tags.age_gender
+1112,,,es.ine.pop_25_29,tags.age_gender
+1113,,,es.ine.pop_30_34,tags.age_gender
+1114,,,es.ine.pop_35_39,tags.age_gender
+1115,,,es.ine.pop_40_44,tags.age_gender
+1116,,,es.ine.pop_45_49,tags.age_gender
+1117,,,es.ine.pop_50_54,tags.age_gender
+1118,,,es.ine.pop_55_59,tags.age_gender
+1119,,,es.ine.pop_60_64,tags.age_gender
+1120,,,es.ine.pop_65_69,tags.age_gender
+1121,,,es.ine.pop_70_74,tags.age_gender
+1122,,,es.ine.pop_75_79,tags.age_gender
+1123,,,es.ine.pop_80_84,tags.age_gender
+1124,,,es.ine.pop_85_89,tags.age_gender
+1125,,,es.ine.pop_90_94,tags.age_gender
+1126,,,es.ine.pop_95_99,tags.age_gender
+1127,,,whosonfirst.wof_continent_geom,tags.global
+1128,,,whosonfirst.wof_continent_geom,tags.boundary
+1129,,,whosonfirst.wof_country_geom,tags.global
+1130,,,whosonfirst.wof_country_geom,tags.boundary
+1131,,,whosonfirst.wof_disputed_geom,tags.global
+1132,,,whosonfirst.wof_disputed_geom,tags.boundary
+1133,,,whosonfirst.wof_marinearea_geom,tags.global
+1134,,,whosonfirst.wof_marinearea_geom,tags.boundary
+1135,,,whosonfirst.wof_region_geom,tags.global
+1136,,,whosonfirst.wof_region_geom,tags.boundary
+1137,,,us.census.acs.B25001001,tags.housing
+1138,,,us.census.lodes.jobs_firm_age_4_5_years,tags.income_education_employment
+1139,,,us.census.lodes.jobs_firm_age_6_10_years,tags.income_education_employment
+1140,,,us.census.lodes.jobs_firm_age_11_more_years,tags.income_education_employment
+1141,,,us.census.lodes.jobs_firm_age_0_19_employees,tags.income_education_employment
+1142,,,us.census.lodes.jobs_firm_age_20_49_employees,tags.income_education_employment
+1143,,,us.census.lodes.jobs_firm_age_50_249_employees,tags.income_education_employment
+1144,,,us.census.lodes.jobs_firm_age_250_499_employees,tags.income_education_employment
+1145,,,us.census.tiger.county,tags.boundary
+1147,,,us.census.tiger.puma,tags.boundary
+1148,,,us.census.tiger.block_group,tags.boundary
+1149,,,us.census.tiger.census_tract,tags.boundary
+1150,,,us.census.tiger.congressional_district,tags.boundary
+1151,,,us.census.tiger.zcta5,tags.boundary
+1152,,,us.census.tiger.block,tags.boundary
+1153,,,us.census.tiger.school_district_secondary,tags.boundary
+1154,,,us.census.tiger.school_district_elementary,tags.boundary
+1155,,,us.census.tiger.school_district_unified,tags.boundary
+1156,,,us.census.acs.B08006004,tags.transportation
+1157,,,us.census.acs.B08006003,tags.transportation
+1158,,,us.census.acs.B08006017,tags.transportation
+1159,,,us.census.acs.B08006002,tags.transportation
+1160,,,us.census.acs.B08006015,tags.transportation
+1161,,,us.census.acs.B08006009,tags.transportation
+1162,,,us.census.acs.B08006011,tags.transportation
+1163,,,us.census.acs.B11001001,tags.housing
+1164,,,us.census.acs.B16001003,tags.language
+1165,,,us.census.acs.B16001002,tags.language
+1166,,,us.census.acs.B25075001,tags.housing
+1167,,,us.census.acs.B25081002,tags.housing
+1168,,,us.census.acs.B25002003,tags.housing
+1169,,,us.census.acs.B25004004,tags.housing
+1170,,,us.census.acs.B25004002,tags.housing
+1171,,,us.census.acs.B25058001,tags.housing
+1172,,,us.census.acs.B25071001,tags.housing
+1173,,,us.census.acs.B25075025,tags.housing
+1174,,,us.census.lodes.total_jobs,tags.income_education_employment
+1175,,,us.census.lodes.total_jobs,tags.denominator
+1176,,,us.census.lodes.jobs_firm_age_500_more_employees,tags.income_education_employment
+1177,,,us.census.lodes.jobs_age_29_or_younger,tags.income_education_employment
+1178,,,us.census.lodes.jobs_age_29_or_younger,tags.race_age_gender
+1179,,,us.census.lodes.jobs_age_30_to_54,tags.income_education_employment
+1180,,,us.census.lodes.jobs_age_30_to_54,tags.race_age_gender
+1181,,,us.census.lodes.jobs_age_55_or_older,tags.income_education_employment
+1182,,,us.census.lodes.jobs_age_55_or_older,tags.race_age_gender
+1183,,,us.census.lodes.jobs_earning_15000_or_less,tags.income_education_employment
+1184,,,us.census.lodes.jobs_earning_15001_to_40000,tags.income_education_employment
+1185,,,us.census.lodes.jobs_earning_40001_or_more,tags.income_education_employment
+1186,,,us.census.lodes.jobs_11_agriculture_forestry_fishing,tags.income_education_employment
+1187,,,us.census.lodes.jobs_21_mining_quarrying_oil_gas,tags.income_education_employment
+1188,,,us.census.lodes.jobs_22_utilities,tags.income_education_employment
+1189,,,us.census.lodes.jobs_23_construction,tags.income_education_employment
+1190,,,us.census.lodes.jobs_31_33_manufacturing,tags.income_education_employment
+1191,,,us.census.lodes.jobs_42_wholesale_trade,tags.income_education_employment
+1192,,,us.census.lodes.jobs_44_45_retail_trade,tags.income_education_employment
+1193,,,us.census.lodes.jobs_48_49_transport_warehousing,tags.income_education_employment
+1194,,,us.census.lodes.jobs_51_information,tags.income_education_employment
+1195,,,us.census.lodes.jobs_52_finance_and_insurance,tags.income_education_employment
+1196,,,us.census.lodes.jobs_53_real_estate_rental_leasing,tags.income_education_employment
+1197,,,us.census.lodes.jobs_54_professional_scientific_tech_services,tags.income_education_employment
+1198,,,us.census.lodes.jobs_55_management_of_companies_enterprises,tags.income_education_employment
+1199,,,us.census.lodes.jobs_56_admin_support_waste_management,tags.income_education_employment
+1200,,,us.census.lodes.jobs_61_educational_services,tags.income_education_employment
+1201,,,us.census.lodes.jobs_62_healthcare_social_assistance,tags.income_education_employment
+1202,,,us.census.lodes.jobs_71_arts_entertainment_recreation,tags.income_education_employment
+1203,,,us.census.lodes.jobs_72_accommodation_and_food,tags.income_education_employment
+1204,,,us.census.lodes.jobs_81_other_services_except_public_admin,tags.income_education_employment
+1205,,,us.census.lodes.jobs_92_public_administration,tags.income_education_employment
+1206,,,us.census.lodes.jobs_white,tags.income_education_employment
+1207,,,us.census.lodes.jobs_white,tags.race_age_gender
+1208,,,us.census.lodes.jobs_black,tags.income_education_employment
+1209,,,us.census.lodes.jobs_black,tags.race_age_gender
+1210,,,us.census.lodes.jobs_asian,tags.income_education_employment
+1211,,,us.census.lodes.jobs_asian,tags.race_age_gender
+1212,,,us.census.lodes.jobs_hispanic,tags.income_education_employment
+1213,,,us.census.lodes.jobs_hispanic,tags.race_age_gender
+1214,,,us.census.lodes.jobs_less_than_high_school,tags.income_education_employment
+1215,,,us.census.lodes.jobs_high_school,tags.income_education_employment
+1216,,,us.census.lodes.jobs_some_college,tags.income_education_employment
+1217,,,us.census.lodes.jobs_bachelors_or_advanced,tags.income_education_employment
+1218,,,us.census.lodes.jobs_male,tags.race_age_gender
+1219,,,us.census.lodes.jobs_male,tags.income_education_employment
+1220,,,us.census.lodes.jobs_female,tags.race_age_gender
+1221,,,us.census.lodes.jobs_female,tags.income_education_employment
+1222,,,us.census.lodes.jobs_firm_age_0_1_years,tags.income_education_employment
+1223,,,us.census.lodes.jobs_firm_age_2_3_years,tags.income_education_employment
 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -8043,21 +9209,31 @@ cartodb_id,the_geom,the_geom_webmercator,column_id,tag_id
 
 COPY "obs_tag" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,id,name,type,description,version
-1,,,us.zillow.indexes,Zillow Home Value and Rental Indexes,catalog,Zillow home value and rental indexes.,1
-2,,,us.census.segments.families_with_young_children,Families with young children (Under 6 years old),segment,,0
-3,,,us.census.segments.middle_aged_men,Middle Aged Men (45 to 64 years old),segment,,0
-4,,,es.ine.demographics,Demographics of Spain,catalog,Demographics of Spain from the INE Census,0
-5,,,tags.transportation,Transportation,catalog,How do people move from place to place?,13
-6,,,tags.language,Language,catalog,What languages do people speak?,13
-7,,,tags.housing,Housing,catalog,What type of housing exists and how do people live in it?,13
-8,,,tags.denominator,Denominator,category,Use these to provide a baseline for comparison between different areas.,13
-9,,,tags.race_age_gender,"Race, Age and Gender",catalog,Basic demographic breakdowns.%0A%0A.. cartofigure:: 4def78b4-f6c6-11e5-ac8d-0e31c9be1b51%0A  :scale: 100 %%0A  :alt: Median Household Income%0A  :align: center%0A  :target: https://observatory.cartodb.com/viz/4def78b4-f6c6-11e5-ac8d-0e31c9be1b51/embed_map%0A%0A  Percent of the population which is white in every United States county.%0A%0A,13
-10,,,tags.boundary,Boundaries,catalog,Use these to provide regions for sound comparison and analysis.,13
-11,,,tags.income_education_employment,"Income, Education and Employment",catalog,"%0AHow much money people earn, what jobs they hold or are available in different%0Aareas, and the educational attainment or current enrollment of the population.%0A%0A.. cartofigure:: 5a2f4cc8-e189-11e5-8327-0e5db1731f59%0A  :scale: 100 %%0A  :alt: Median Household Income%0A  :align: center%0A  :target: https://observatory.cartodb.com/viz/5a2f4cc8-e189-11e5-8327-0e5db1731f59/embed_map%0A%0A  Median household income in the United States according to the American%0A  Community Survey, 5-year estimate from 2013.%0A%0A",13
-12,,,tags.population,Population,category,,13
-13,,,us.census.acs.demographics,US American Community Survey Demographics,source,Standard Demographic Data from the US American Community Survey,1
-14,,,us.census.acs.segments,US Population Segments,catalog,Segmentation of the United States population,1
-15,,,whosonfirst.global,Global Boundaries,catalog,,2
+1,,,us.zillow.indexes,Zillow Home Value and Rental Indexes,subsection,Zillow home value and rental indexes.,2
+2,,,tags.nationality,Nationality,subsection,Population breakdowns by nationality and place of birth.,15
+3,,,us.census.segments.families_with_young_children,Families with young children (Under 6 years old),segment,,0
+4,,,us.census.segments.middle_aged_men,Middle Aged Men (45 to 64 years old),segment,,0
+5,,,us.census.acs.demographics,US American Community Survey Demographics,source,Standard Demographic Data from the US American Community Survey,1
+6,,,whosonfirst.global,Global Boundaries,catalog,,2
+7,,,tags.united_states,United States,section,,1
+8,,,tags.denominator,Denominator,category,Use these to provide a baseline for comparison between different areas.,14
+9,,,tags.race_age_gender,"Race, Age and Gender",catalog,Basic demographic breakdowns.%0A%0A.. cartofigure:: 4def78b4-f6c6-11e5-ac8d-0e31c9be1b51%0A  :width: 100 %%0A  :alt: Median Household Income%0A  :align: center%0A  :target: https://observatory.cartodb.com/viz/4def78b4-f6c6-11e5-ac8d-0e31c9be1b51/embed_map%0A%0A  Percent of the population which is white in every United States county.%0A%0A,14
+10,,,tags.income_education_employment,"Income, Education and Employment",catalog,"%0AHow much money people earn, what jobs they hold or are available in different%0Aareas, and the educational attainment or current enrollment of the population.%0A%0A.. cartofigure:: 5a2f4cc8-e189-11e5-8327-0e5db1731f59%0A  :width: 100 %%0A  :alt: Median Household Income%0A  :align: center%0A  :target: https://observatory.cartodb.com/viz/5a2f4cc8-e189-11e5-8327-0e5db1731f59/embed_map%0A%0A  Median household income in the United States according to the American%0A  Community Survey, 5-year estimate from 2013.%0A%0A",14
+11,,,tags.population,Population,category,,14
+12,,,tags.boundary,Boundaries,subsection,"Political, administrative, and census-based boundaries.",15
+13,,,tags.global,Global,section,,1
+14,,,tags.spain,Spain,section,,1
+15,,,us.census.acs.acs,US American Community Survey,source,The United States American Community Survey,3
+16,,,us.census.acs.segments,US Population Segments,subsection,Segmentation of the United States population,3
+17,,,tags.race_ethnicity,Race and Ethnicity,subsection,Population breakdowns by race and ethnicity.%0A%0A.. cartofigure:: 4def78b4-f6c6-11e5-ac8d-0e31c9be1b51%0A  :width: 100 %%0A  :alt: Median Household Income%0A  :align: center%0A  :target: https://observatory.cartodb.com/viz/4def78b4-f6c6-11e5-ac8d-0e31c9be1b51/embed_map%0A%0A  Percent of the population which is white in every United States county.%0A%0A,15
+18,,,tags.families,Families,subsection,Familial arrangements of people and households.,15
+19,,,tags.language,Language,subsection,What languages people speak.,15
+20,,,tags.transportation,Transportation,subsection,How do people move from place to place?,15
+21,,,tags.housing,Housing,subsection,What type of housing exists and how do people live in it?,15
+22,,,tags.age_gender,Age and Gender,subsection,Population breakdowns by age and gender.,15
+23,,,tags.income,Income,subsection,"%0AHow much people earn.%0A%0A.. cartofigure:: 5a2f4cc8-e189-11e5-8327-0e5db1731f59%0A  :width: 100 %%0A  :alt: Median Household Income%0A  :align: center%0A  :target: https://observatory.cartodb.com/viz/5a2f4cc8-e189-11e5-8327-0e5db1731f59/embed_map%0A%0A  Median household income in the United States according to the American%0A  Community Survey, 5-year estimate from 2014.%0A%0A",15
+24,,,tags.education,Education,subsection,Educational attainment and enrollment.,15
+25,,,tags.employment,Employment,subsection,How people are employed.,15
 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -8069,518 +9245,716 @@ cartodb_id,the_geom,the_geom_webmercator,id,name,type,description,version
 
 COPY "obs_column_to_column" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,source_id,target_id,reltype
+627,,,us.census.acs.B14001002,us.census.acs.B14001001,denominator
 1,,,us.census.acs.B15001034,us.census.acs.B01003001,denominator
-2,,,us.census.acs.B08014002,us.census.acs.B08006001,denominator
-3,,,us.census.acs.B08006011,us.census.acs.B08301010,denominator
-4,,,us.census.acs.B09005005,us.census.acs.B09001001,denominator
-5,,,us.census.acs.B19059002,us.census.acs.B11001001,denominator
-6,,,us.census.acs.B07009006,us.census.acs.B15003001,denominator
-7,,,us.census.acs.B08303004_quantile,us.census.acs.B08303004,quantile_source
-8,,,us.census.acs.B08303005_quantile,us.census.acs.B08303005,quantile_source
-9,,,us.census.acs.B08303006_quantile,us.census.acs.B08303006,quantile_source
-10,,,us.census.acs.B08303007_quantile,us.census.acs.B08303007,quantile_source
-11,,,us.census.acs.B08303008_quantile,us.census.acs.B08303008,quantile_source
-12,,,us.census.acs.B16001005,us.census.acs.B16001001,denominator
-13,,,us.census.acs.B08303011_quantile,us.census.acs.B08303011,quantile_source
-14,,,us.census.acs.B25064001_quantile,us.census.acs.B25064001,quantile_source
-15,,,us.census.acs.B25034010,us.census.acs.B25001001,denominator
-16,,,us.census.acs.B25076001_quantile,us.census.acs.B25076001,quantile_source
-17,,,us.census.acs.B25077001_quantile,us.census.acs.B25077001,quantile_source
-18,,,us.census.acs.B25078001_quantile,us.census.acs.B25078001,quantile_source
-19,,,us.census.acs.B07009002_quantile,us.census.acs.B07009002,quantile_source
-20,,,us.census.acs.B07009003_quantile,us.census.acs.B07009003,quantile_source
-21,,,us.census.acs.B07009004_quantile,us.census.acs.B07009004,quantile_source
-22,,,us.census.acs.B07009005_quantile,us.census.acs.B07009005,quantile_source
-23,,,us.census.acs.B07009006_quantile,us.census.acs.B07009006,quantile_source
-24,,,us.census.acs.B09005005_quantile,us.census.acs.B09005005,quantile_source
-25,,,us.census.acs.B11001003_quantile,us.census.acs.B11001003,quantile_source
-26,,,us.census.acs.B11009003_quantile,us.census.acs.B11009003,quantile_source
-27,,,us.census.acs.B11009005_quantile,us.census.acs.B11009005,quantile_source
-28,,,us.census.acs.C24050071,us.census.acs.B23025004,denominator
-29,,,us.census.acs.B16001005_quantile,us.census.acs.B16001005,quantile_source
-30,,,us.census.acs.B25003003_quantile,us.census.acs.B25003003,quantile_source
-31,,,us.census.acs.B25024002_quantile,us.census.acs.B25024002,quantile_source
-32,,,us.census.acs.B25024003_quantile,us.census.acs.B25024003,quantile_source
-33,,,us.census.acs.B25024004_quantile,us.census.acs.B25024004,quantile_source
-34,,,us.census.acs.B25024005_quantile,us.census.acs.B25024005,quantile_source
-35,,,us.census.acs.B25024006_quantile,us.census.acs.B25024006,quantile_source
-36,,,us.census.acs.B25024007_quantile,us.census.acs.B25024007,quantile_source
-37,,,us.census.acs.B25024008_quantile,us.census.acs.B25024008,quantile_source
-38,,,us.census.acs.B25024009_quantile,us.census.acs.B25024009,quantile_source
-39,,,us.census.acs.B25024010_quantile,us.census.acs.B25024010,quantile_source
-40,,,us.census.acs.B25034002_quantile,us.census.acs.B25034002,quantile_source
-41,,,us.census.acs.B25034003_quantile,us.census.acs.B25034003,quantile_source
-42,,,us.census.acs.B25034010_quantile,us.census.acs.B25034010,quantile_source
-43,,,us.census.acs.C24050002_quantile,us.census.acs.C24050002,quantile_source
-44,,,us.census.acs.C24050003_quantile,us.census.acs.C24050003,quantile_source
-121,,,es.ine.pop_5_9,es.ine.total_pop,denominator
-45,,,us.census.acs.C24050004_quantile,us.census.acs.C24050004,quantile_source
-46,,,us.census.acs.C24050005_quantile,us.census.acs.C24050005,quantile_source
-47,,,us.census.acs.C24050006_quantile,us.census.acs.C24050006,quantile_source
-48,,,us.census.acs.C24050007_quantile,us.census.acs.C24050007,quantile_source
-49,,,us.census.acs.C24050008_quantile,us.census.acs.C24050008,quantile_source
-50,,,us.census.acs.C24050009_quantile,us.census.acs.C24050009,quantile_source
-51,,,us.census.acs.C24050010_quantile,us.census.acs.C24050010,quantile_source
-52,,,us.census.acs.C24050011_quantile,us.census.acs.C24050011,quantile_source
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-54,,,us.census.acs.C24050013_quantile,us.census.acs.C24050013,quantile_source
-55,,,us.census.acs.C24050014_quantile,us.census.acs.C24050014,quantile_source
-56,,,us.census.acs.C24050015_quantile,us.census.acs.C24050015,quantile_source
-57,,,us.census.acs.C24050029_quantile,us.census.acs.C24050029,quantile_source
-58,,,us.census.acs.C24050043_quantile,us.census.acs.C24050043,quantile_source
-59,,,us.census.acs.C24050057_quantile,us.census.acs.C24050057,quantile_source
-60,,,us.census.acs.C24050071_quantile,us.census.acs.C24050071,quantile_source
-61,,,us.census.acs.B01001003_quantile,us.census.acs.B01001003,quantile_source
-62,,,us.census.acs.B01001004_quantile,us.census.acs.B01001004,quantile_source
-63,,,us.census.acs.B01001006_quantile,us.census.acs.B01001006,quantile_source
-64,,,us.census.acs.B01001007_quantile,us.census.acs.B01001007,quantile_source
-65,,,us.census.acs.B01001008_quantile,us.census.acs.B01001008,quantile_source
-66,,,us.census.acs.B01001009_quantile,us.census.acs.B01001009,quantile_source
-67,,,us.census.acs.B01001010_quantile,us.census.acs.B01001010,quantile_source
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-69,,,us.census.acs.B01001011_quantile,us.census.acs.B01001011,quantile_source
-70,,,us.census.acs.B01001012_quantile,us.census.acs.B01001012,quantile_source
-71,,,us.census.acs.B01001013_quantile,us.census.acs.B01001013,quantile_source
-72,,,us.census.acs.B01001014_quantile,us.census.acs.B01001014,quantile_source
-73,,,us.census.acs.B01001020_quantile,us.census.acs.B01001020,quantile_source
-74,,,us.census.acs.B01001021_quantile,us.census.acs.B01001021,quantile_source
-75,,,us.census.acs.B01001022_quantile,us.census.acs.B01001022,quantile_source
-76,,,us.census.acs.B01001023_quantile,us.census.acs.B01001023,quantile_source
-77,,,us.census.acs.B01001024_quantile,us.census.acs.B01001024,quantile_source
-78,,,us.census.acs.B01001025_quantile,us.census.acs.B01001025,quantile_source
-79,,,us.census.acs.B01001027_quantile,us.census.acs.B01001027,quantile_source
-80,,,us.census.acs.B01001028_quantile,us.census.acs.B01001028,quantile_source
-81,,,us.census.acs.B01001029_quantile,us.census.acs.B01001029,quantile_source
-82,,,us.census.acs.B01001030_quantile,us.census.acs.B01001030,quantile_source
-83,,,us.census.acs.B01001031_quantile,us.census.acs.B01001031,quantile_source
-84,,,us.census.acs.B01001032_quantile,us.census.acs.B01001032,quantile_source
-85,,,us.census.acs.B01001033_quantile,us.census.acs.B01001033,quantile_source
-86,,,us.census.acs.B01001034_quantile,us.census.acs.B01001034,quantile_source
-87,,,us.census.acs.B01001035_quantile,us.census.acs.B01001035,quantile_source
-88,,,us.census.acs.B01001036_quantile,us.census.acs.B01001036,quantile_source
-89,,,us.census.acs.B01001037_quantile,us.census.acs.B01001037,quantile_source
-90,,,us.census.acs.B01001038_quantile,us.census.acs.B01001038,quantile_source
-91,,,us.census.acs.B01001039_quantile,us.census.acs.B01001039,quantile_source
-92,,,us.census.acs.B01001040_quantile,us.census.acs.B01001040,quantile_source
-93,,,us.census.acs.B01001041_quantile,us.census.acs.B01001041,quantile_source
-94,,,us.census.acs.B01001042_quantile,us.census.acs.B01001042,quantile_source
-95,,,us.census.acs.B01001043_quantile,us.census.acs.B01001043,quantile_source
-96,,,us.census.acs.B01001044_quantile,us.census.acs.B01001044,quantile_source
-97,,,us.census.acs.B01001045_quantile,us.census.acs.B01001045,quantile_source
-98,,,us.census.acs.B01001046_quantile,us.census.acs.B01001046,quantile_source
-99,,,us.census.acs.B01001047_quantile,us.census.acs.B01001047,quantile_source
-100,,,us.census.acs.B01001048_quantile,us.census.acs.B01001048,quantile_source
-101,,,us.census.acs.B01001049_quantile,us.census.acs.B01001049,quantile_source
-102,,,us.census.acs.B02001002_quantile,us.census.acs.B02001002,quantile_source
-103,,,us.census.acs.B02001003_quantile,us.census.acs.B02001003,quantile_source
-104,,,us.census.acs.B02001004_quantile,us.census.acs.B02001004,quantile_source
-105,,,us.census.acs.B02001005_quantile,us.census.acs.B02001005,quantile_source
-106,,,us.census.acs.B03001003_quantile,us.census.acs.B03001003,quantile_source
-107,,,us.census.acs.B08303003_quantile,us.census.acs.B08303003,quantile_source
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-109,,,us.census.acs.B08303010_quantile,us.census.acs.B08303010,quantile_source
-110,,,us.census.acs.B08303012_quantile,us.census.acs.B08303012,quantile_source
-111,,,us.census.acs.B08303013_quantile,us.census.acs.B08303013,quantile_source
-112,,,us.census.acs.B19058002_quantile,us.census.acs.B19058002,quantile_source
-113,,,us.census.acs.B19059002_quantile,us.census.acs.B19059002,quantile_source
-114,,,us.census.acs.B07204004_quantile,us.census.acs.B07204004,quantile_source
-115,,,us.census.acs.B07204007_quantile,us.census.acs.B07204007,quantile_source
-116,,,us.census.acs.B26001001_quantile,us.census.acs.B26001001,quantile_source
-117,,,us.census.acs.B08014002_quantile,us.census.acs.B08014002,quantile_source
-118,,,es.ine.cusec_id,es.ine.the_geom,geom_ref
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-120,,,es.ine.pop_0_4,es.ine.total_pop,denominator
-122,,,es.ine.pop_10_14,es.ine.total_pop,denominator
-123,,,es.ine.pop_15_19,es.ine.total_pop,denominator
-124,,,es.ine.pop_20_24,es.ine.total_pop,denominator
-125,,,es.ine.pop_25_29,es.ine.total_pop,denominator
-126,,,es.ine.pop_30_34,es.ine.total_pop,denominator
-127,,,es.ine.pop_35_39,es.ine.total_pop,denominator
-128,,,es.ine.pop_40_44,es.ine.total_pop,denominator
-129,,,es.ine.pop_45_49,es.ine.total_pop,denominator
-130,,,es.ine.pop_50_54,es.ine.total_pop,denominator
-131,,,es.ine.pop_55_59,es.ine.total_pop,denominator
-132,,,es.ine.pop_60_64,es.ine.total_pop,denominator
-133,,,whosonfirst.wof_continent_id,whosonfirst.wof_continent_geom,geom_ref
-134,,,whosonfirst.wof_country_id,whosonfirst.wof_country_geom,geom_ref
-135,,,whosonfirst.wof_disputed_id,whosonfirst.wof_disputed_geom,geom_ref
-136,,,us.census.acs.B07204007,us.census.acs.B07204001,denominator
-137,,,us.census.acs.B23008010,us.census.acs.B23008002,denominator
-138,,,us.census.acs.B12005015,us.census.acs.B12005001,denominator
-139,,,us.census.acs.B08135001,us.census.acs.B08134001,divisor
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-141,,,whosonfirst.wof_region_id,whosonfirst.wof_region_geom,geom_ref
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-144,,,es.ine.pop_75_79,es.ine.total_pop,denominator
-145,,,es.ine.pop_80_84,es.ine.total_pop,denominator
-146,,,es.ine.pop_85_89,es.ine.total_pop,denominator
-147,,,es.ine.pop_90_94,es.ine.total_pop,denominator
-148,,,es.ine.pop_95_99,es.ine.total_pop,denominator
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-150,,,us.census.tiger.county_geoid,us.census.tiger.county_clipped,geom_ref
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-156,,,us.census.tiger.state_geoid,us.census.tiger.state_clipped,geom_ref
-157,,,us.census.tiger.place_geoid,us.census.tiger.place_clipped,geom_ref
-158,,,us.census.tiger.zcta5_geoid,us.census.tiger.zcta5_clipped,geom_ref
-159,,,us.census.tiger.school_district_elementary_geoid,us.census.tiger.school_district_elementary_clipped,geom_ref
-160,,,us.census.tiger.school_district_unified_geoid,us.census.tiger.school_district_unified_clipped,geom_ref
-161,,,us.census.tiger.block_geoid,us.census.tiger.block_clipped,geom_ref
-162,,,us.census.acs.B01001002,us.census.acs.B01003001,denominator
-163,,,us.census.acs.B01001026,us.census.acs.B01003001,denominator
-164,,,us.census.acs.B03002003,us.census.acs.B01003001,denominator
-165,,,us.census.acs.B03002004,us.census.acs.B01003001,denominator
-166,,,us.census.acs.B03002006,us.census.acs.B01003001,denominator
-167,,,us.census.acs.B03002012,us.census.acs.B01003001,denominator
-168,,,us.census.acs.B03002005,us.census.acs.B01003001,denominator
-169,,,us.census.acs.B03002008,us.census.acs.B01003001,denominator
-170,,,us.census.acs.B03002009,us.census.acs.B01003001,denominator
-171,,,us.census.acs.B03002002,us.census.acs.B01003001,denominator
-172,,,us.census.acs.B05001006,us.census.acs.B01003001,denominator
-173,,,us.census.acs.B08006003,us.census.acs.B08006002,denominator
-174,,,us.census.acs.B08006009,us.census.acs.B08301010,denominator
-175,,,us.census.acs.B08006015,us.census.acs.B08006001,denominator
-176,,,us.census.acs.B08006017,us.census.acs.B08006001,denominator
-177,,,us.census.acs.B14001005,us.census.acs.B14001002,denominator
-178,,,us.census.acs.B14001006,us.census.acs.B14001002,denominator
-179,,,us.census.acs.B14001007,us.census.acs.B14001002,denominator
-180,,,us.census.acs.B15003017,us.census.acs.B15003001,denominator
-181,,,us.census.acs.B15003019,us.census.acs.B15003001,denominator
-182,,,us.census.acs.B15003020,us.census.acs.B15003001,denominator
-183,,,us.census.acs.B15003021,us.census.acs.B15003001,denominator
-184,,,us.census.acs.B15003022,us.census.acs.B15003001,denominator
-185,,,us.census.acs.B15003023,us.census.acs.B15003001,denominator
-186,,,us.census.acs.B16001002,us.census.acs.B16001001,denominator
-187,,,us.census.acs.B16001003,us.census.acs.B16001001,denominator
-188,,,us.census.acs.B25004002,us.census.acs.B25002003,denominator
-189,,,us.census.acs.B25075025,us.census.acs.B25075001,denominator
-190,,,us.census.acs.B23008003,us.census.acs.B23008002,denominator
-191,,,us.census.acs.B23008004,us.census.acs.B23008002,denominator
-192,,,us.census.acs.B23008005,us.census.acs.B23008002,denominator
-193,,,us.census.acs.B23008006,us.census.acs.B23008002,denominator
-194,,,us.census.acs.B23008007,us.census.acs.B23008002,denominator
-195,,,us.census.acs.B23008008,us.census.acs.B23008002,denominator
-196,,,us.census.acs.B23008009,us.census.acs.B23008002,denominator
-197,,,us.census.acs.B23025004,us.census.acs.B23025003,denominator
-198,,,us.census.acs.B01001B012,us.census.acs.B01003001,denominator
-199,,,us.census.acs.B01001B013,us.census.acs.B01003001,denominator
-200,,,us.census.acs.B01001I012,us.census.acs.B01003001,denominator
-201,,,us.census.acs.B01001I013,us.census.acs.B01003001,denominator
-202,,,us.census.acs.B01001H012,us.census.acs.B01003001,denominator
-203,,,us.census.acs.B01001H013,us.census.acs.B01003001,denominator
-204,,,us.census.acs.B01001D012,us.census.acs.B01003001,denominator
-205,,,us.census.acs.B01001D013,us.census.acs.B01003001,denominator
-206,,,us.census.acs.B15001028,us.census.acs.B01003001,denominator
-207,,,us.census.acs.B15001029,us.census.acs.B01003001,denominator
-208,,,us.census.acs.B15001030,us.census.acs.B01003001,denominator
-209,,,us.census.acs.B15001031,us.census.acs.B01003001,denominator
-210,,,us.census.acs.B15001032,us.census.acs.B01003001,denominator
-211,,,us.census.acs.B15001033,us.census.acs.B01003001,denominator
-212,,,us.census.acs.B12005002,us.census.acs.B12005001,denominator
-213,,,us.census.acs.B12005005,us.census.acs.B12005001,denominator
-214,,,us.census.acs.B12005008,us.census.acs.B12005001,denominator
-215,,,us.census.acs.B12005012,us.census.acs.B12005001,denominator
-216,,,us.census.acs.B08134002,us.census.acs.B08134001,denominator
-217,,,us.census.acs.B08303004,us.census.acs.B08134001,denominator
-218,,,us.census.acs.B08303005,us.census.acs.B08134001,denominator
-219,,,us.census.acs.B08303006,us.census.acs.B08134001,denominator
-220,,,us.census.acs.B08303007,us.census.acs.B08134001,denominator
-221,,,us.census.acs.B08303008,us.census.acs.B08134001,denominator
-222,,,us.census.acs.B08134008,us.census.acs.B08134001,denominator
-223,,,us.census.acs.B08303011,us.census.acs.B08134001,denominator
-224,,,us.census.acs.B08134010,us.census.acs.B08134001,denominator
-225,,,us.census.acs.B19001002,us.census.acs.B11001001,denominator
-226,,,us.census.acs.B19001003,us.census.acs.B11001001,denominator
-227,,,us.census.acs.B19001004,us.census.acs.B11001001,denominator
-228,,,us.census.acs.B19001005,us.census.acs.B11001001,denominator
-229,,,us.census.acs.B19001006,us.census.acs.B11001001,denominator
-230,,,us.census.acs.B19001007,us.census.acs.B11001001,denominator
-231,,,us.census.acs.B19001008,us.census.acs.B11001001,denominator
-232,,,us.census.acs.B19001009,us.census.acs.B11001001,denominator
-233,,,us.census.acs.B19001010,us.census.acs.B11001001,denominator
-234,,,us.census.acs.B19001011,us.census.acs.B11001001,denominator
-235,,,us.census.acs.B19001012,us.census.acs.B11001001,denominator
-236,,,us.census.acs.B19001013,us.census.acs.B11001001,denominator
-237,,,us.census.acs.B19001014,us.census.acs.B11001001,denominator
-238,,,us.census.acs.B19001015,us.census.acs.B11001001,denominator
-239,,,us.census.acs.B19001016,us.census.acs.B11001001,denominator
-240,,,us.census.acs.B19001017,us.census.acs.B11001001,denominator
-241,,,us.census.acs.B07009002,us.census.acs.B15003001,denominator
-242,,,us.census.acs.B07009003,us.census.acs.B15003001,denominator
-243,,,us.census.acs.B07009004,us.census.acs.B15003001,denominator
-244,,,us.census.acs.B07009005,us.census.acs.B15003001,denominator
-245,,,us.census.acs.B11001003,us.census.acs.B11001001,denominator
-246,,,us.census.acs.B11009003,us.census.acs.B11001001,denominator
-247,,,us.census.acs.B11009005,us.census.acs.B11001001,denominator
-248,,,us.census.acs.B25024002,us.census.acs.B25001001,denominator
-249,,,us.census.acs.B25024003,us.census.acs.B25001001,denominator
-250,,,us.census.acs.B25024004,us.census.acs.B25001001,denominator
-251,,,us.census.acs.B25024005,us.census.acs.B25001001,denominator
-252,,,us.census.acs.B25024006,us.census.acs.B25001001,denominator
-253,,,us.census.acs.B25024007,us.census.acs.B25001001,denominator
-254,,,us.census.acs.B25024008,us.census.acs.B25001001,denominator
-255,,,us.census.acs.B25024009,us.census.acs.B25001001,denominator
-256,,,us.census.acs.B25024010,us.census.acs.B25001001,denominator
-257,,,us.census.acs.B25034002,us.census.acs.B25001001,denominator
-258,,,us.census.acs.B25034003,us.census.acs.B25001001,denominator
-259,,,us.census.acs.B23025003,us.census.acs.B23025002,denominator
-260,,,us.census.acs.B23025002,us.census.acs.B23025001,denominator
-261,,,us.census.acs.C24050002,us.census.acs.B23025004,denominator
-262,,,us.census.acs.C24050003,us.census.acs.B23025004,denominator
-263,,,us.census.acs.C24050004,us.census.acs.B23025004,denominator
-264,,,us.census.acs.C24050005,us.census.acs.B23025004,denominator
-265,,,us.census.acs.C24050006,us.census.acs.B23025004,denominator
-266,,,us.census.acs.C24050007,us.census.acs.B23025004,denominator
-267,,,us.census.acs.C24050008,us.census.acs.B23025004,denominator
-268,,,us.census.acs.C24050009,us.census.acs.B23025004,denominator
-269,,,us.census.acs.C24050010,us.census.acs.B23025004,denominator
-270,,,us.census.acs.C24050011,us.census.acs.B23025004,denominator
-271,,,us.census.acs.C24050012,us.census.acs.B23025004,denominator
-272,,,us.census.acs.C24050013,us.census.acs.B23025004,denominator
-273,,,us.census.acs.C24050014,us.census.acs.B23025004,denominator
-274,,,us.census.acs.C24050015,us.census.acs.B23025004,denominator
-275,,,us.census.acs.C24050029,us.census.acs.B23025004,denominator
-276,,,us.census.acs.C24050043,us.census.acs.B23025004,denominator
-277,,,us.census.acs.C24050057,us.census.acs.B23025004,denominator
-278,,,us.census.acs.B01001003,us.census.acs.B01003001,denominator
-279,,,us.census.acs.B01001004,us.census.acs.B01003001,denominator
-280,,,us.census.acs.B01001006,us.census.acs.B01003001,denominator
-281,,,us.census.acs.B01001007,us.census.acs.B01003001,denominator
-282,,,us.census.acs.B01001008,us.census.acs.B01003001,denominator
-283,,,us.census.acs.B01001009,us.census.acs.B01003001,denominator
-284,,,us.census.acs.B01001010,us.census.acs.B01003001,denominator
-285,,,us.census.acs.B01001011,us.census.acs.B01003001,denominator
-286,,,us.census.acs.B01001012,us.census.acs.B01003001,denominator
-287,,,us.census.acs.B01001013,us.census.acs.B01003001,denominator
-288,,,us.census.acs.B01001014,us.census.acs.B01003001,denominator
-289,,,us.census.acs.B01001015,us.census.acs.B01003001,denominator
-290,,,us.census.acs.B01001016,us.census.acs.B01003001,denominator
-291,,,us.census.acs.B01001017,us.census.acs.B01003001,denominator
-292,,,us.census.acs.B01001018,us.census.acs.B01003001,denominator
-293,,,us.census.acs.B01001019,us.census.acs.B01003001,denominator
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-295,,,us.census.acs.B01001021,us.census.acs.B01003001,denominator
-296,,,us.census.acs.B01001022,us.census.acs.B01003001,denominator
-297,,,us.census.acs.B01001023,us.census.acs.B01003001,denominator
-298,,,us.census.acs.B01001024,us.census.acs.B01003001,denominator
-299,,,us.census.acs.B01001025,us.census.acs.B01003001,denominator
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-301,,,us.census.acs.B01001028,us.census.acs.B01003001,denominator
-302,,,us.census.acs.B01001029,us.census.acs.B01003001,denominator
-303,,,us.census.acs.B01001030,us.census.acs.B01003001,denominator
-304,,,us.census.acs.B01001031,us.census.acs.B01003001,denominator
-305,,,us.census.acs.B01001032,us.census.acs.B01003001,denominator
-306,,,us.census.acs.B01001033,us.census.acs.B01003001,denominator
-307,,,us.census.acs.B01001034,us.census.acs.B01003001,denominator
-308,,,us.census.acs.B01001035,us.census.acs.B01003001,denominator
-309,,,us.census.acs.B01001036,us.census.acs.B01003001,denominator
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-311,,,us.census.acs.B01001038,us.census.acs.B01003001,denominator
-312,,,us.census.acs.B01001039,us.census.acs.B01003001,denominator
-313,,,us.census.acs.B01001040,us.census.acs.B01003001,denominator
-314,,,us.census.acs.B01001041,us.census.acs.B01003001,denominator
-315,,,us.census.acs.B01001042,us.census.acs.B01003001,denominator
-316,,,us.census.acs.B01001043,us.census.acs.B01003001,denominator
-317,,,us.census.acs.B01001044,us.census.acs.B01003001,denominator
-318,,,us.census.acs.B01001045,us.census.acs.B01003001,denominator
-319,,,us.census.acs.B01001046,us.census.acs.B01003001,denominator
-320,,,us.census.acs.B01001047,us.census.acs.B01003001,denominator
-321,,,us.census.acs.B01001048,us.census.acs.B01003001,denominator
-322,,,us.census.acs.B01001049,us.census.acs.B01003001,denominator
-323,,,us.census.acs.B02001002,us.census.acs.B01003001,denominator
-324,,,us.census.acs.B02001003,us.census.acs.B01003001,denominator
-325,,,us.census.acs.B02001004,us.census.acs.B01003001,denominator
-326,,,us.census.acs.B02001005,us.census.acs.B01003001,denominator
-327,,,us.census.acs.B03001003,us.census.acs.B01003001,denominator
-328,,,us.census.acs.B08303003,us.census.acs.B08134001,denominator
-329,,,us.census.acs.B08303009,us.census.acs.B08134001,denominator
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-331,,,us.census.acs.B08303012,us.census.acs.B08134001,denominator
-332,,,us.census.acs.B08303013,us.census.acs.B08134001,denominator
-333,,,us.census.acs.B19058002,us.census.acs.B11001001,denominator
-334,,,us.census.acs.B07204004,us.census.acs.B07204001,denominator
-335,,,us.census.tiger.cbsa_geoid,us.census.tiger.cbsa,geom_ref
-336,,,us.census.tiger.school_district_unified_geoid,us.census.tiger.school_district_unified,geom_ref
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-345,,,us.census.tiger.state_clipped,us.census.tiger.state,cartography
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-355,,,us.census.acs.B03002004_quantile,us.census.acs.B03002004,quantile_source
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-399,,,us.census.lodes.jobs_earning_15000_or_less,us.census.lodes.total_jobs,denominator
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-405,,,us.census.tiger.county_geoid,us.census.tiger.county,geom_ref
-406,,,us.census.tiger.congressional_district_geoid,us.census.tiger.congressional_district,geom_ref
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-419,,,us.census.lodes.jobs_52_finance_and_insurance,us.census.lodes.total_jobs,denominator
-420,,,us.census.lodes.jobs_53_real_estate_rental_leasing,us.census.lodes.total_jobs,denominator
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-425,,,us.census.lodes.jobs_62_healthcare_social_assistance,us.census.lodes.total_jobs,denominator
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-427,,,us.census.lodes.jobs_72_accommodation_and_food,us.census.lodes.total_jobs,denominator
-428,,,us.census.lodes.jobs_81_other_services_except_public_admin,us.census.lodes.total_jobs,denominator
-429,,,us.census.acs.B14001002,us.census.acs.B14001001,denominator
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-437,,,us.census.acs.B17001002,us.census.acs.B17001001,denominator
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 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -14348,1184 +15722,2055 @@ cartodb_id,the_geom,the_geom_webmercator,geoid,aland,awater
 
 COPY "obs_6c1309a64d8f3e6986061f4d1ca7b57743e75e74" FROM stdin WITH CSV HEADER;
 cartodb_id,the_geom,the_geom_webmercator,geoid,aland
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 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
@@ -18170,4 +20415,4 @@ cartodb_id,the_geom,the_geom_webmercator,geoid,aland,awater
 \.
 
         CREATE SCHEMA IF NOT EXISTS "observatory";
-        ALTER TABLE "obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308" SET SCHEMA "observatory";
+        ALTER TABLE "obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308" SET SCHEMA "observatory";
\ No newline at end of file
diff --git a/src/pg/test/sql/40_observatory_utility_test.sql b/src/pg/test/sql/40_observatory_utility_test.sql
index 162162c..45cdb96 100644
--- a/src/pg/test/sql/40_observatory_utility_test.sql
+++ b/src/pg/test/sql/40_observatory_utility_test.sql
@@ -65,12 +65,12 @@ SELECT
 
 SELECT cdb_observatory._OBS_GetRelatedColumn(
     Array[
-     'es.ine.pop_0_4',
+     'es.ine.t3_1',
      'us.census.acs.B01003001',
      'us.census.acs.B01001002'
     ],
      'denominator'
- ) = '{es.ine.total_pop,NULL,us.census.acs.B01003001}' As _OBS_GetRelatedColumn_test;
+ ) = '{es.ine.t1_1,NULL,us.census.acs.B01003001}' As _OBS_GetRelatedColumn_test;
 
 -- should give back a standardized measure name
 SELECT cdb_observatory._OBS_StandardizeMeasureName('test 343 %% 2 qqq }}{{}}') = 'test_343_2_qqq' As _OBS_StandardizeMeasureName_test;
diff --git a/src/pg/test/sql/41_observatory_augmentation_test.sql b/src/pg/test/sql/41_observatory_augmentation_test.sql
index 9a14047..8061b18 100644
--- a/src/pg/test/sql/41_observatory_augmentation_test.sql
+++ b/src/pg/test/sql/41_observatory_augmentation_test.sql
@@ -150,7 +150,7 @@ SELECT abs(OBS_GetMeasure_total_pop_point - 10923.093200390833950) / 10923.09320
 
 -- Poly-based OBS_GetMeasure, default normalization (none)
 -- is result within 0.1% of expected
-SELECT abs(OBS_GetMeasure_total_pop_polygon - 9833.47316573952) / 9833.47316573952 < 0.001 As OBS_GetMeasure_total_pop_polygon_test FROM
+SELECT abs(OBS_GetMeasure_total_pop_polygon - 12327.3133495107) / 12327.3133495107 < 0.001 As OBS_GetMeasure_total_pop_polygon_test FROM
   cdb_observatory.OBS_GetMeasure(
     cdb_observatory._TestArea(),
     'us.census.acs.B01003001'
@@ -164,7 +164,7 @@ SELECT (abs(cdb_observatory.OBS_GetMeasure(
 -- Poly-based OBS_GetMeasure with denominator normalization
 SELECT abs(cdb_observatory.OBS_GetMeasure(
   cdb_observatory._TestArea(),
-  'us.census.acs.B01001002', 'denominator') - 0.50597531462834994530) / 0.49026340444793965457 < 0.001 As OBS_GetMeasure_total_male_poly_denominator;
+  'us.census.acs.B01001002', 'denominator') - 0.49026340444793965457) / 0.49026340444793965457 < 0.001 As OBS_GetMeasure_total_male_poly_denominator;
 
 -- Point-based OBS_GetCategory
 SELECT cdb_observatory.OBS_GetCategory(
@@ -181,7 +181,7 @@ SELECT (abs(OBS_GetPopulation - 10923.093200390833950) / 10923.093200390833950)
   ) As m(OBS_GetPopulation);
 
 -- Poly-based OBS_GetPopulation, default normalization (none)
-SELECT (abs(obs_getpopulation_polygon - 9833.47316573952) / 9833.47316573952) < 0.001 As obs_getpopulation_polygon_test
+SELECT (abs(obs_getpopulation_polygon - 12327.3133495107) / 12327.3133495107) < 0.001 As obs_getpopulation_polygon_test
 FROM
   cdb_observatory.OBS_GetPopulation(
     cdb_observatory._TestArea()
@@ -193,7 +193,7 @@ SELECT (abs(cdb_observatory.obs_getuscensusmeasure(
 
 -- Poly-based OBS_GetUSCensusMeasure, default normalization (none)
 SELECT (abs(cdb_observatory.obs_getuscensusmeasure(
-  cdb_observatory._testarea(), 'male population') - 4975.49467892449) / 4975.49467892449) < 0.001 As obs_getuscensusmeasure;
+  cdb_observatory._testarea(), 'male population') - 6043.63061042765) / 6043.63061042765) < 0.001 As obs_getuscensusmeasure;
 
 -- Point-based OBS_GetUSCensusCategory
 SELECT cdb_observatory.OBS_GetUSCensusCategory(
diff --git a/src/pg/test/sql/42_observatory_exploration_test.sql b/src/pg/test/sql/42_observatory_exploration_test.sql
index ad7a91e..987f214 100644
--- a/src/pg/test/sql/42_observatory_exploration_test.sql
+++ b/src/pg/test/sql/42_observatory_exploration_test.sql
@@ -24,10 +24,13 @@ FROM cdb_observatory._OBS_SearchTables(
   '1988' -- year before first tiger data was collected
 ) As t(table_name, timespan);
 
-SELECT *
-FROM cdb_observatory.OBS_Search('total_pop');
+SELECT COUNT(*) > 0 AS _OBS_SearchTotalPop
+FROM cdb_observatory.OBS_Search('total_pop')
+AS t(id, description, name, aggregate, source);
 
-SELECT *
-FROM cdb_observatory.OBS_GetAvailableBoundaries(cdb_observatory._TestPoint());
+SELECT COUNT(*) > 0 AS _OBS_GetAvailableBoundariesExist
+FROM cdb_observatory.OBS_GetAvailableBoundaries(
+  cdb_observatory._TestPoint()
+) AS t(boundary_id, description, time_span, tablename);
 
 \i test/fixtures/drop_fixtures.sql