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Merge pull request #50 from CartoDB/fixture-autogen

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fixture autogen and test fixes after metadata updates
This commit is contained in:
Andy Eschbacher 2016-05-06 07:49:59 -04:00
commit 8733b819fe
30 changed files with 16275 additions and 6056 deletions
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7
src/pg/sql/40_observatory_utility.sql
View File

@ -5,7 +5,8 @@
-- geometries.
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GeomTable(
geom geometry,
geometry_id text
geometry_id text,
time_span text DEFAULT NULL
)
RETURNS TEXT
AS $$
@ -23,9 +24,11 @@ BEGIN
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
USING geometry_id, geom, time_span
INTO result;
return result;

114
src/pg/sql/41_observatory_augmentation.sql
View File

@ -32,7 +32,7 @@ AS $$
BEGIN
IF time_span IS NULL THEN
time_span = '2009 - 2013';
time_span = '2010 - 2014';
END IF;
IF boundary_id IS NULL THEN
@ -159,7 +159,7 @@ BEGIN
IF geom_table_name IS NULL
THEN
RAISE NOTICE 'Point % is outside of the data region', geom;
RAISE NOTICE 'Point % is outside of the data region', ST_AsText(geom);
RETURN QUERY SELECT '{}'::text[], '{}'::NUMERIC[];
END IF;
@ -169,9 +169,10 @@ BEGIN
$3);'
INTO data_table_info
using geometry_level, column_ids, time_span;
IF ST_GeometryType(geom) = 'ST_Point'
THEN
RAISE NOTICE 'geom_table_name %, data_table_info %', geom_table_name, data_table_info::json[];
results := cdb_observatory._OBS_GetPoints(geom,
geom_table_name,
data_table_info);
@ -183,14 +184,14 @@ BEGIN
geom_table_name,
data_table_info);
END IF;
RETURN QUERY
EXECUTE
$query$
SELECT unnest($1)
$query$
USING results;
END;
$$ LANGUAGE plpgsql;
@ -269,27 +270,27 @@ BEGIN
((data_table_info)[1])->>'tablename',
geoid
);
EXECUTE
query
INTO result
USING geom;
EXECUTE
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
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;
$$ LANGUAGE plpgsql;
@ -318,7 +319,7 @@ BEGIN
IF time_span IS NULL THEN
-- TODO we should determine latest timespan for this measure
time_span := '2009 - 2013';
time_span := '2010 - 2014';
END IF;
IF normalize ILIKE 'area' THEN
@ -529,27 +530,27 @@ BEGIN
q := q || ' ) ' || q_sum || ' ]::numeric[] FROM _overlaps, values
WHERE values.geoid = _overlaps.geoid';
EXECUTE
q
INTO result
USING geom;
EXECUTE
EXECUTE
$query$
select array_agg(row_to_json(t)) from(
select values as value,
meta->>'name' as name,
meta->>'tablename' as tablename,
meta->>'aggregate' as aggregate,
meta->>'type' as type,
meta->>'description' as description
from (select unnest($1) as values, unnest($2) as meta) b
SELECT array_agg(row_to_json(t)) FROM (
SELECT values As value,
meta->>'name' As name,
meta->>'tablename' As tablename,
meta->>'aggregate' As aggregate,
meta->>'type' As type,
meta->>'description' As description
FROM (SELECT unnest($1) As values, unnest($2) As meta) b
) t
$query$
INTO json_result
USING result, data_table_info;
RETURN json_result;
END;
$$ LANGUAGE plpgsql;
@ -560,7 +561,7 @@ CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetSegmentSnapshot(
geom geometry,
boundary_id text DEFAULT NULL
)
RETURNS JSON
RETURNS JSON
AS $$
DECLARE
target_cols text[];
@ -646,17 +647,17 @@ target_cols := Array[
), percentiles As (
%s
FROM a)
SELECT row_to_json(r) FROM
SELECT row_to_json(r) FROM
( SELECT $4 as segment_name, percentiles.*
FROM percentiles) r
$query$, cdb_observatory._OBS_BuildSnapshotQuery(target_cols)) results;
EXECUTE
q
into result
into result
USING geom, target_cols, boundary_id, segment_name;
return result;
END;
@ -696,13 +697,18 @@ BEGIN
RETURN QUERY SELECT '{}'::text[], '{}'::text[];
END IF;
execute'
select array_agg( _obs_getcolumndata) from cdb_observatory._OBS_GetColumnData($1,
$2,
$3);'
INTO data_table_info
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;
END IF;
EXECUTE
format('SELECT geoid
@ -712,7 +718,14 @@ BEGIN
USING geom
INTO geoid;
IF geoid IS NULL
THEN
RAISE NOTICE 'No geometry id for this location';
RETURN QUERY SELECT NULL::json;
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'));
@ -735,18 +748,19 @@ BEGIN
query
INTO results
USING geom;
RETURN QUERY
EXECUTE
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) b
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;

6
src/pg/sql/44_observatory_geometries.sql
View File

@ -541,9 +541,9 @@ BEGIN
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'
LIMIT 1
$string$, boundary_id);
geom_c.type ILIKE 'geometry' AND
geom_c.id = '%s'
$string$, boundary_id, boundary_id);
-- 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

4
src/pg/test/expected/02_load_tables_test.out
View File

@ -1,4 +0,0 @@
SET client_min_messages TO WARNING;
\set ECHO none
Loading fixtures...
Done.

173
src/pg/test/expected/40_observatory_utility_test.out
View File

@ -1,166 +1,29 @@
\i test/sql/load_fixtures.sql
\pset format unaligned
\set ECHO all
\i test/fixtures/load_fixtures.sql
SET client_min_messages TO WARNING;
\set ECHO none
Loading obs_table.sql fixture file...
Done.
Loading obs_column.sql fixture file...
Done.
Loading obs_column_table.sql fixture file...
Done.
Loading obs_column_to_column.sql fixture file...
Done.
Loading obs_column_tag.sql fixture file...
Done.
Loading obs_tag.sql fixture file...
Done.
Loading obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1.sql fixture file...
Done.
Loading obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb.sql fixture file...
Done.
Loading obs_ab038198aaab3f3cb055758638ee4de28ad70146.sql fixture file...
Done.
Loading obs_a92e1111ad3177676471d66bb8036e6d057f271b.sql fixture file...
Done.
Loading obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql fixture file...
Done.
Loading obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql fixture file...
Done.
Loading obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4.sql fixture file...
Done.
-- OBS_GeomTable
-- get table with known geometry_id
-- should give back a table like obs_{hex hash}
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'us.census.tiger.census_tract'
);
_obs_geomtable
----------------------------------------------
obs_a92e1111ad3177676471d66bb8036e6d057f271b
_obs_geomtable
obs_fc050f0b8673cfe3c6aa1040f749eb40975691b7
(1 row)
_obs_geomtable
-- get null for unknown geometry_id
-- should give back null
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'us.census.tiger.nonexistant_id' -- not in catalog
);
_obs_geomtable
----------------
(1 row)
-- future test: give back nulls when geometry doesn't intersect
-- SELECT
-- cdb_observatory._OBS_GeomTable(
-- ST_SetSRID(ST_Point(0,0)), -- should give back null since it's in the ocean?
-- 'us.census.tiger.census_tract'
-- );
-- OBS_GetColumnData
-- should give back:
-- colname | tablename | aggregate
-- -----------|-----------------|-----------
-- geoid | obs_{hex table} | null
-- total_pop | obs_{hex table} | sum
WITH result as (
SELECT
array_agg(a) expected from cdb_observatory._OBS_GetColumnData(
'us.census.tiger.census_tract',
Array['us.census.tiger.census_tract_geoid', 'us.census.acs.B01001001'],
'2009 - 2013') a
)
select (expected)[1]::text = '{"colname":"geoid","tablename":"obs_d34555209878e8c4b37cf0b2b3d072ff129ec470","aggregate":null,"name":"US Census Tract Geoids","type":"Text","description":""}' as test_get_obs_column_with_geoid_and_census_1,
(expected)[2]::text = '{"colname":"geoid","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":null,"name":"US Census Tract Geoids","type":"Text","description":""}' as test_get_obs_column_with_geoid_and_census_2
from result;
test_get_obs_column_with_geoid_and_census_1 | test_get_obs_column_with_geoid_and_census_2
---------------------------------------------+---------------------------------------------
t | t
test_get_obs_column_with_geoid_and_census_1|test_get_obs_column_with_geoid_and_census_2
t|t
(1 row)
-- should be null-valued
WITH result as (
SELECT
array_agg(a) expected from cdb_observatory._OBS_GetColumnData(
'us.census.tiger.census_tract',
Array['us.census.tiger.baloney'],
'2009 - 2013') a
)
select expected is null as OBS_GetColumnData_missing_measure
from result;
obs_getcolumndata_missing_measure
-----------------------------------
t
obs_getcolumndata_missing_measure
t
(1 row)
-- OBS_BuildSnapshotQuery
-- Should give back: SELECT vals[1] As total_pop, vals[2] As male_pop, vals[3] As female_pop, vals[4] As median_age
SELECT
cdb_observatory._OBS_BuildSnapshotQuery(
Array['total_pop','male_pop','female_pop','median_age']
);
_obs_buildsnapshotquery
-------------------------------------------------------------------------------------------------
SELECT vals[1] As total_pop, vals[2] As male_pop, vals[3] As female_pop, vals[4] As median_age
_obs_buildsnapshotquery
SELECT vals[1] As total_pop, vals[2] As male_pop, vals[3] As female_pop, vals[4] As median_age
(1 row)
-- should give back: SELECT vals[1] As mandarin_orange
SELECT
cdb_observatory._OBS_BuildSnapshotQuery(
Array['mandarin_orange']
);
_obs_buildsnapshotquery
------------------------------------
SELECT vals[1] As mandarin_orange
_obs_buildsnapshotquery
SELECT vals[1] As mandarin_orange
(1 row)
SELECT cdb_observatory._OBS_GetRelatedColumn(
Array[
'es.ine.pop_0_4',
'us.census.acs.B01001001',
'us.census.acs.B01001002'
],
'denominator'
);
_obs_getrelatedcolumn
-------------------------------------------------
{es.ine.total_pop,NULL,us.census.acs.B01001001}
_obs_getrelatedcolumn
{es.ine.total_pop,NULL,us.census.acs.B01001001}
(1 row)
-- should give back a standardized measure name
SELECT cdb_observatory._OBS_StandardizeMeasureName('test 343 %% 2 qqq }}{{}}');
_obs_standardizemeasurename
-----------------------------
test_343_2_qqq
_obs_standardizemeasurename
test_343_2_qqq
(1 row)
\i test/sql/drop_fixtures.sql
SET client_min_messages TO NOTICE;
\set ECHO none
Dropping obs_table.sql fixture table...
Done.
Dropping obs_column.sql fixture table...
Done.
Dropping obs_column_table.sql fixture table...
Done.
Dropping obs_column_to_column.sql fixture table...
Done.
Dropping obs_column_tag.sql fixture table...
Done.
Dropping obs_tag.sql fixture table...
Done.
Dropping obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1 fixture table...
Done.
Dropping obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb fixture table...
Done.
Dropping obs_ab038198aaab3f3cb055758638ee4de28ad70146 fixture table...
Done.
Dropping obs_a92e1111ad3177676471d66bb8036e6d057f271b fixture table...
Done.
Dropping obs_11ee8b82c877c073438bc935a91d3dfccef875d1 fixture table...
Done.
Dropping obs_d34555209878e8c4b37cf0b2b3d072ff129ec470 fixture table...
Done.
Dropping obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4 fixture table...
Done.

192
src/pg/test/expected/41_observatory_augmentation_test.out
View File

@ -1,170 +1,72 @@
\i test/sql/load_fixtures.sql
\i test/fixtures/load_fixtures.sql
SET client_min_messages TO WARNING;
\set ECHO none
Loading obs_table.sql fixture file...
Done.
Loading obs_column.sql fixture file...
Done.
Loading obs_column_table.sql fixture file...
Done.
Loading obs_column_to_column.sql fixture file...
Done.
Loading obs_column_tag.sql fixture file...
Done.
Loading obs_tag.sql fixture file...
Done.
Loading obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1.sql fixture file...
Done.
Loading obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb.sql fixture file...
Done.
Loading obs_ab038198aaab3f3cb055758638ee4de28ad70146.sql fixture file...
Done.
Loading obs_a92e1111ad3177676471d66bb8036e6d057f271b.sql fixture file...
Done.
Loading obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql fixture file...
Done.
Loading obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql fixture file...
Done.
Loading obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4.sql fixture file...
Done.
obs_getdemographicsnapshot_test_no_returns
--------------------------------------------
t
obs_getdemographicsnapshot_test_no_returns
t
(1 row)
obs_get_gini_index_at_test_point
----------------------------------
t
obs_get_median_income_at_test_point
t
(1 row)
obs_get_gini_index_at_null_island
-----------------------------------
t
obs_get_median_income_at_null_island
t
(1 row)
obs_getpoints_for_test_point
------------------------------
t
obs_getpoints_for_test_point
t
(1 row)
obs_getpoints_for_null_island
-------------------------------
t
obs_getpoints_for_null_island
t
(1 row)
obs_getpolygons_for_test_point
--------------------------------
t
obs_getpolygons_for_test_point
t
(1 row)
obs_getpolygons_for_null_island
---------------------------------
t
obs_getpolygons_for_null_island
t
(1 row)
test_point_segmentation
-------------------------
t
test_point_segmentation
t
(1 row)
null_island_segmentation
--------------------------
t
null_island_segmentation
t
(1 row)
getcategories_at_test_point_1 | getcategories_at_test_point_2
-------------------------------+-------------------------------
t | t
getcategories_at_test_point_1
t
(1 row)
getcategories_at_null_island
------------------------------
t
getcategories_at_null_island
t
(1 row)
obs_getmeasure
------------------
9516.27915900609
obs_getmeasure_total_pop_point
10923.093200390833950
(1 row)
obs_getmeasure
----------------
1655
obs_getmeasure_total_pop_polygon
12327.3133495107
(1 row)
obs_getmeasure
------------------------
0.64652567975830779836
obs_getmeasure_total_male_point_denominator
0.62157894736842105263
(1 row)
obs_getmeasure
------------------------
0.64652567975830815710
obs_getmeasure_total_male_poly_denominator
0.49026340444793965457
(1 row)
obs_getcategory
-----------------------------
Wealthy, urban without Kids
obs_getcategory_point
Wealthy, urban without Kids
(1 row)
obs_getcategory
-------------------------------
Low income, mix of minorities
obs_getcategory_polygon
Low income, mix of minorities
(1 row)
obs_getpopulation
-------------------
9516.27915900609
obs_getpopulation
10923.093200390833950
(1 row)
obs_getpopulation
-------------------
1655
obs_getpopulation_polygon
12327.3133495107
(1 row)
obs_getuscensusmeasure
------------------------
6152.51885204623
obs_getuscensusmeasure_point_male_pop
6789.5647735060920500
(1 row)
obs_getuscensusmeasure
------------------------
1070
obs_getuscensusmeasure
6043.63061042765
(1 row)
obs_getuscensuscategory
-----------------------------
Wealthy, urban without Kids
obs_getuscensuscategory
Wealthy, urban without Kids
(1 row)
obs_getuscensuscategory
-------------------------------
Low income, mix of minorities
obs_getuscensuscategory
Low income, mix of minorities
(1 row)
Dropping obs_table.sql fixture table...
Done.
Dropping obs_column.sql fixture table...
Done.
Dropping obs_column_table.sql fixture table...
Done.
Dropping obs_column_to_column.sql fixture table...
Done.
Dropping obs_column_tag.sql fixture table...
Done.
Dropping obs_tag.sql fixture table...
Done.
Dropping obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1 fixture table...
Done.
Dropping obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb fixture table...
Done.
Dropping obs_ab038198aaab3f3cb055758638ee4de28ad70146 fixture table...
Done.
Dropping obs_a92e1111ad3177676471d66bb8036e6d057f271b fixture table...
Done.
Dropping obs_11ee8b82c877c073438bc935a91d3dfccef875d1 fixture table...
Done.
Dropping obs_d34555209878e8c4b37cf0b2b3d072ff129ec470 fixture table...
Done.
Dropping obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4 fixture table...
Done.

126
src/pg/test/expected/42_observatory_exploration_test.out
View File

@ -1,36 +1,9 @@
\i test/sql/load_fixtures.sql
\i test/fixtures/load_fixtures.sql
SET client_min_messages TO WARNING;
\set ECHO none
Loading obs_table.sql fixture file...
Done.
Loading obs_column.sql fixture file...
Done.
Loading obs_column_table.sql fixture file...
Done.
Loading obs_column_to_column.sql fixture file...
Done.
Loading obs_column_tag.sql fixture file...
Done.
Loading obs_tag.sql fixture file...
Done.
Loading obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1.sql fixture file...
Done.
Loading obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb.sql fixture file...
Done.
Loading obs_ab038198aaab3f3cb055758638ee4de28ad70146.sql fixture file...
Done.
Loading obs_a92e1111ad3177676471d66bb8036e6d057f271b.sql fixture file...
Done.
Loading obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql fixture file...
Done.
Loading obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql fixture file...
Done.
Loading obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4.sql fixture file...
Done.
_obs_searchtables_tables_match|_obs_searchtables_timespan_matches
t|t
t|t
(2 rows)
obs_1babf5a26a1ecda5fb74963e88408f71d0364b81|t
(1 row)
_obs_searchtables_timespan_does_not_match
t
(1 row)
@ -40,62 +13,37 @@ obs_search
(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,)
(3 rows)
boundary_id|description|time_span|tablename
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\u2019s 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 \u201cTribal Census Tract\u201d and \u201cTribal Block Group\u201d). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.|2013|obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1
us.census.tiger.census_tract|Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
Some ranges of census tract numbers in the 2010 Census are used to identify distinctive types of census tracts. The code range in the 9400s is used for those census tracts with a majority of population, housing, or land area associated with an American Indian area and matches the numbering used in Census 2000. The code range in the 9800s is new for 2010 and is used to specifically identify special land-use census tracts; that is, census tracts defined to encompass a large area with little or no residential population with special characteristics, such as large parks or employment areas. The range of census tracts in the 9900s represents census tracts delineated specifically to cover large bodies of water. This is different from Census 2000 when water-only census tracts were assigned codes of all zeroes (000000); 000000 is no longer used as a census tract code for the 2010 Census.
The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Census tract suffixes may range from .01 to .98. As part of local review of existing census tracts before each census, some census tracts may have grown enough in population size to qualify as more than one census tract. When a census tract is split, the split parts usually retain the basic number but receive different suffixes. For example, if census tract 14 is split, the new tract numbers would be 14.01 and 14.02. In a few counties, local participants request major changes to, and renumbering of, the census tracts; however, this is generally discouraged. Changes to individual census tract boundaries usually do not result in census tract numbering changes.
The Census Bureau introduced the concept of tribal census tracts for the first time for Census 2000. Tribal census tracts for that census consisted of the standard county-based census tracts tabulated within American Indian areas, thus allowing for the tracts to ignore state and county boundaries for tabulation. The Census Bureau assigned the 9400 range of numbers to identify specific tribal census tracts; however, not all tribal census tracts used this numbering scheme. For the 2010 Census, tribal census tracts no longer are tied to or numbered in the same way as the county-based census tracts (see \u201cTribal Census Tract\u201d).|2013|obs_a92e1111ad3177676471d66bb8036e6d057f271b
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.|2013|obs_f3f0912fe24bc0c976e837b5a116d0c803cc01ce
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.|2013|obs_0008b162b516c295d7204c9ba043ab5dbc67c59c
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 \u201cXX\u201d (land area) or \u201cHH\u201d (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.|2013|obs_d483723c5cc76c107d9e0af279d1e7056df3c2be
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.|2013|obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4
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.|2013|obs_a20f5260b618a2fe2eb95fc1e23febe0db7db096
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.|2013|obs_23da37d4e66e9de2f525572967f8618bde99a8c0
us.census.tiger.census_tract|Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
Some ranges of census tract numbers in the 2010 Census are used to identify distinctive types of census tracts. The code range in the 9400s is used for those census tracts with a majority of population, housing, or land area associated with an American Indian area and matches the numbering used in Census 2000. The code range in the 9800s is new for 2010 and is used to specifically identify special land-use census tracts; that is, census tracts defined to encompass a large area with little or no residential population with special characteristics, such as large parks or employment areas. The range of census tracts in the 9900s represents census tracts delineated specifically to cover large bodies of water. This is different from Census 2000 when water-only census tracts were assigned codes of all zeroes (000000); 000000 is no longer used as a census tract code for the 2010 Census.
The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Census tract suffixes may range from .01 to .98. As part of local review of existing census tracts before each census, some census tracts may have grown enough in population size to qualify as more than one census tract. When a census tract is split, the split parts usually retain the basic number but receive different suffixes. For example, if census tract 14 is split, the new tract numbers would be 14.01 and 14.02. In a few counties, local participants request major changes to, and renumbering of, the census tracts; however, this is generally discouraged. Changes to individual census tract boundaries usually do not result in census tract numbering changes.
The Census Bureau introduced the concept of tribal census tracts for the first time for Census 2000. Tribal census tracts for that census consisted of the standard county-based census tracts tabulated within American Indian areas, thus allowing for the tracts to ignore state and county boundaries for tabulation. The Census Bureau assigned the 9400 range of numbers to identify specific tribal census tracts; however, not all tribal census tracts used this numbering scheme. For the 2010 Census, tribal census tracts no longer are tied to or numbered in the same way as the county-based census tracts (see \u201cTribal Census Tract\u201d).|2013|obs_d125aeef87aaa23287a40b454519ece22ee25acf
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\u2019s 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 \u201cTribal Census Tract\u201d and \u201cTribal Block Group\u201d). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.|2013|obs_d610cb3225f282693b8d4dcd98d2c2e2078354c6
(10 rows)
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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.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.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.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.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
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
(11 rows)

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src/pg/test/expected/44_observatory_geometries_test.out
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\i test/sql/load_fixtures.sql
\pset format unaligned
\set ECHO all
\i test/fixtures/load_fixtures.sql
SET client_min_messages TO WARNING;
\set ECHO none
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Loading obs_tag.sql fixture file...
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Loading obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1.sql fixture file...
Done.
Loading obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb.sql fixture file...
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Loading obs_ab038198aaab3f3cb055758638ee4de28ad70146.sql fixture file...
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Loading obs_a92e1111ad3177676471d66bb8036e6d057f271b.sql fixture file...
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Loading obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql fixture file...
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Loading obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql fixture file...
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Loading obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4.sql fixture file...
Done.
obs_getboundary_cartodb_census_tract
t
(1 row)
@ -96,7 +72,7 @@ t
obs_getpointsbygeometry_around_cartodb
t
(1 row)
obs_getpointsbygeometry_around_cartodb_2013
obs_getpointsbygeometry_around_cartodb_2014
t
(1 row)
obs_getpointsbygeometry_around_null_island
@ -105,7 +81,7 @@ t
obs_getpointsbypointandradius_around_cartodb
t
(1 row)
obs_getpointsbypointandradius_around_cartodb_2013
obs_getpointsbypointandradius_around_cartodb_2014
t
(1 row)
obs_getpointsbypointandradius_around_null_island
@ -114,29 +90,3 @@ t
geoid_name_matches|table_name_matches|geom_name_matches
t|t|t
(1 row)
Dropping obs_table.sql fixture table...
Done.
Dropping obs_column.sql fixture table...
Done.
Dropping obs_column_table.sql fixture table...
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Dropping obs_column_to_column.sql fixture table...
Done.
Dropping obs_column_tag.sql fixture table...
Done.
Dropping obs_tag.sql fixture table...
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Dropping obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1 fixture table...
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Dropping obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb fixture table...
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Dropping obs_ab038198aaab3f3cb055758638ee4de28ad70146 fixture table...
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Dropping obs_a92e1111ad3177676471d66bb8036e6d057f271b fixture table...
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Dropping obs_11ee8b82c877c073438bc935a91d3dfccef875d1 fixture table...
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Dropping obs_d34555209878e8c4b37cf0b2b3d072ff129ec470 fixture table...
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Dropping obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4 fixture table...
Done.

16
src/pg/test/fixtures/drop_fixtures.sql vendored Normal file
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@ -0,0 +1,16 @@
SET client_min_messages TO WARNING;
\set ECHO none
DROP TABLE IF EXISTS observatory.obs_table;
DROP TABLE IF EXISTS observatory.obs_column_table;
DROP TABLE IF EXISTS observatory.obs_column;
DROP TABLE IF EXISTS observatory.obs_column_tag;
DROP TABLE IF EXISTS observatory.obs_tag;
DROP TABLE IF EXISTS observatory.obs_column_to_column;
DROP TABLE IF EXISTS observatory.obs_1babf5a26a1ecda5fb74963e88408f71d0364b81;
DROP TABLE IF EXISTS observatory.obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb;
DROP TABLE IF EXISTS observatory.obs_ab038198aaab3f3cb055758638ee4de28ad70146;
DROP TABLE IF EXISTS observatory.obs_d34555209878e8c4b37cf0b2b3d072ff129ec470;
DROP TABLE IF EXISTS observatory.obs_fc050f0b8673cfe3c6aa1040f749eb40975691b7;
DROP TABLE IF EXISTS observatory.obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d;
DROP TABLE IF EXISTS observatory.obs_1a098da56badf5f32e336002b0a81708c40d29cd;
DROP TABLE IF EXISTS observatory.obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308;

16010
src/pg/test/fixtures/load_fixtures.sql vendored Normal file
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17
src/pg/test/fixtures/obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql vendored
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@ -1,17 +0,0 @@
CREATE TABLE IF NOT EXISTS obs_11ee8b82c877c073438bc935a91d3dfccef875d1 (
cartodb_id integer,
the_geom geometry(Geometry,4326),
the_geom_webmercator geometry(Geometry,3857),
geoid text,
x10 text,
x2 text,
x31 text,
x55 text
);
INSERT INTO obs_11ee8b82c877c073438bc935a91d3dfccef875d1 (cartodb_id, the_geom, the_geom_webmercator, geoid, x10, x2, x31, x55) VALUES (2150, NULL, NULL, '36047048500', 'Wealthy, urban without Kids', '8', '15', '1');
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_11ee8b82c877c073438bc935a91d3dfccef875d1 SET SCHEMA observatory;

129
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@ -1,129 +0,0 @@
CREATE TABLE IF NOT EXISTS obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb (
cartodb_id integer,
the_geom geometry(Geometry,4326),
the_geom_webmercator geometry(Geometry,3857),
geoid text,
total_pop double precision,
male_pop double precision,
female_pop double precision,
median_age double precision,
white_pop double precision,
black_pop double precision,
asian_pop double precision,
hispanic_pop double precision,
amerindian_pop double precision,
other_race_pop double precision,
two_or_more_races_pop double precision,
not_hispanic_pop double precision,
not_us_citizen_pop double precision,
workers_16_and_over double precision,
commuters_by_car_truck_van double precision,
commuters_drove_alone double precision,
commuters_by_carpool double precision,
commuters_by_public_transportation double precision,
commuters_by_bus double precision,
commuters_by_subway_or_elevated double precision,
walked_to_work double precision,
worked_at_home double precision,
children double precision,
households double precision,
population_3_years_over double precision,
in_school double precision,
in_grades_1_to_4 double precision,
in_grades_5_to_8 double precision,
in_grades_9_to_12 double precision,
in_undergrad_college double precision,
pop_25_years_over double precision,
high_school_diploma double precision,
less_one_year_college double precision,
one_year_more_college double precision,
associates_degree double precision,
bachelors_degree double precision,
masters_degree double precision,
pop_5_years_over double precision,
speak_only_english_at_home double precision,
speak_spanish_at_home double precision,
pop_determined_poverty_status double precision,
poverty double precision,
median_income double precision,
gini_index double precision,
income_per_capita double precision,
housing_units double precision,
vacant_housing_units double precision,
vacant_housing_units_for_rent double precision,
vacant_housing_units_for_sale double precision,
median_rent double precision,
percent_income_spent_on_rent double precision,
owner_occupied_housing_units double precision,
million_dollar_housing_units double precision,
mortgaged_housing_units double precision,
families_with_young_children double precision,
two_parent_families_with_young_children double precision,
two_parents_in_labor_force_families_with_young_children double precision,
two_parents_father_in_labor_force_families_with_young_children double precision,
two_parents_mother_in_labor_force_families_with_young_children double precision,
two_parents_not_in_labor_force_families_with_young_children double precision,
one_parent_families_with_young_children double precision,
father_one_parent_families_with_young_children double precision,
men_45_to_64 double precision,
men_45_to_49 double precision,
men_50_to_54 double precision,
men_55_to_59 double precision,
men_60_61 double precision,
men_62_64 double precision,
black_men_45_54 double precision,
black_men_55_64 double precision,
hispanic_men_45_54 double precision,
hispanic_men_55_64 double precision,
white_men_45_54 double precision,
white_men_55_64 double precision,
asian_men_45_54 double precision,
asian_men_55_64 double precision,
men_45_64_less_than_9_grade double precision,
men_45_64_grade_9_12 double precision,
men_45_64_high_school double precision,
men_45_64_some_college double precision,
men_45_64_associates_degree double precision,
men_45_64_bachelors_degree double precision,
men_45_64_graduate_degree double precision,
father_in_labor_force_one_parent_families_with_young_children double precision,
pop_15_and_over double precision,
pop_never_married double precision,
pop_now_married double precision,
pop_separated double precision,
pop_widowed double precision,
pop_divorced double precision,
commuters_16_over double precision,
commute_less_10_mins double precision,
commute_10_14_mins double precision,
commute_15_19_mins double precision,
commute_20_24_mins double precision,
commute_25_29_mins double precision,
commute_30_34_mins double precision,
commute_35_44_mins double precision,
commute_45_59_mins double precision,
commute_60_more_mins double precision,
aggregate_travel_time_to_work double precision,
income_less_10000 double precision,
income_10000_14999 double precision,
income_15000_19999 double precision,
income_20000_24999 double precision,
income_25000_29999 double precision,
income_30000_34999 double precision,
income_35000_39999 double precision,
income_40000_44999 double precision,
income_45000_49999 double precision,
income_50000_59999 double precision,
income_60000_74999 double precision,
income_75000_99999 double precision,
income_100000_124999 double precision,
income_125000_149999 double precision,
income_150000_199999 double precision,
income_200000_or_more double precision
);
INSERT INTO obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb (cartodb_id, the_geom, the_geom_webmercator, geoid, total_pop, male_pop, female_pop, median_age, white_pop, black_pop, asian_pop, hispanic_pop, amerindian_pop, other_race_pop, two_or_more_races_pop, not_hispanic_pop, 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, households, population_3_years_over, in_school, in_grades_1_to_4, in_grades_5_to_8, in_grades_9_to_12, in_undergrad_college, pop_25_years_over, high_school_diploma, less_one_year_college, one_year_more_college, associates_degree, bachelors_degree, masters_degree, pop_5_years_over, speak_only_english_at_home, speak_spanish_at_home, pop_determined_poverty_status, poverty, median_income, gini_index, income_per_capita, housing_units, vacant_housing_units, vacant_housing_units_for_rent, vacant_housing_units_for_sale, median_rent, percent_income_spent_on_rent, owner_occupied_housing_units, million_dollar_housing_units, mortgaged_housing_units, families_with_young_children, two_parent_families_with_young_children, two_parents_in_labor_force_families_with_young_children, two_parents_father_in_labor_force_families_with_young_children, two_parents_mother_in_labor_force_families_with_young_children, two_parents_not_in_labor_force_families_with_young_children, one_parent_families_with_young_children, father_one_parent_families_with_young_children, men_45_to_64, men_45_to_49, men_50_to_54, men_55_to_59, men_60_61, men_62_64, black_men_45_54, black_men_55_64, hispanic_men_45_54, hispanic_men_55_64, white_men_45_54, white_men_55_64, asian_men_45_54, asian_men_55_64, men_45_64_less_than_9_grade, men_45_64_grade_9_12, men_45_64_high_school, men_45_64_some_college, men_45_64_associates_degree, men_45_64_bachelors_degree, men_45_64_graduate_degree, father_in_labor_force_one_parent_families_with_young_children, pop_15_and_over, pop_never_married, pop_now_married, pop_separated, pop_widowed, pop_divorced, commuters_16_over, commute_less_10_mins, commute_10_14_mins, commute_15_19_mins, commute_20_24_mins, commute_25_29_mins, commute_30_34_mins, commute_35_44_mins, commute_45_59_mins, commute_60_more_mins, aggregate_travel_time_to_work, income_less_10000, income_10000_14999, income_15000_19999, income_20000_24999, income_25000_29999, income_30000_34999, income_35000_39999, income_40000_44999, income_45000_49999, income_50000_59999, income_60000_74999, income_75000_99999, income_100000_124999, income_125000_149999, income_150000_199999, income_200000_or_more) VALUES (132625, NULL, NULL, '360470485002', 1655, 1070, 585, 28.8000000000000007, 922, 26, 40, 667, 0, 0, 0, 988, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 578, NULL, NULL, NULL, NULL, NULL, NULL, 1236, 181, 12, 138, 57, 477, 162, NULL, NULL, NULL, NULL, NULL, 66304, 0.349399999999999988, 28291, 637, 59, 21, 0, 1764, 35.2999999999999972, 59, 0, 39, 60, 47, 22, 25, 0, 0, 13, 0, NULL, 12, 64, 6, 15, 0, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, NULL, NULL, NULL, NULL, NULL, NULL, 1139, 57, 5, 35, 108, 65, 322, 246, 194, 107, NULL, 10, 0, 37, 71, 0, 27, 19, 16, 11, 32, 108, 96, 57, 58, 22, 14);
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb SET SCHEMA observatory;

782
src/pg/test/fixtures/obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d.sql vendored
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@ -1,782 +0,0 @@
--
-- id: "us.census.spielman_singleton_segments".spielman_singleton_table_99914b932b
--
CREATE TABLE obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d (
cartodb_id integer,
the_geom geometry(Geometry,4326),
the_geom_webmercator geometry(Geometry,3857),
geoid text,
x10 text,
x2 text,
x31 text,
x55 text
);
COPY obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d (cartodb_id, the_geom, the_geom_webmercator, geoid, x10, x2, x31, x55) FROM stdin;
302 \N \N 36047066600 \N \N \N \N
303 \N \N 36047096000 \N \N \N \N
304 \N \N 36047118000 \N \N \N \N
305 \N \N 36047040700 \N \N \N \N
306 \N \N 36047008600 \N \N \N \N
307 \N \N 36047015400 \N \N \N \N
308 \N \N 36047085200 \N \N \N \N
309 \N \N 36047017700 \N \N \N \N
310 \N \N 36047070203 \N \N \N \N
2094 \N \N 36047034000 Wealthy, urban without Kids 28 42 1
2095 \N \N 36047054300 Wealthy, urban without Kids 28 42 1
2096 \N \N 36047054900 Wealthy, urban without Kids 8 15 1
2097 \N \N 36047055100 Wealthy, urban without Kids 8 15 1
2098 \N \N 36047055300 Wealthy, urban without Kids 8 15 1
2099 \N \N 36047055500 Wealthy, urban without Kids 8 15 1
2100 \N \N 36047055700 Wealthy, urban without Kids 8 15 1
2101 \N \N 36047056300 Wealthy, urban without Kids 8 15 1
2102 \N \N 36047000100 Wealthy, urban without Kids 28 42 1
2103 \N \N 36047000301 Wealthy, urban without Kids 28 42 1
2104 \N \N 36047000700 Wealthy, urban without Kids 8 15 1
2105 \N \N 36047000900 Wealthy, urban without Kids 28 42 1
2106 \N \N 36047001100 Wealthy, urban without Kids 28 42 1
2107 \N \N 36047001300 Wealthy, urban without Kids 8 11 1
2108 \N \N 36047002100 Wealthy, urban without Kids 28 42 1
2109 \N \N 36047019100 Wealthy, urban without Kids 8 15 1
2110 \N \N 36047019500 Wealthy, urban without Kids 8 15 1
2111 \N \N 36047019700 Wealthy, urban without Kids 8 15 1
2112 \N \N 36047019900 Wealthy, urban without Kids 8 15 1
2113 \N \N 36047020100 Wealthy, urban without Kids 8 15 1
2114 \N \N 36047020300 Wealthy, urban without Kids 8 15 1
2115 \N \N 36047020500 Wealthy, urban without Kids 8 15 1
2116 \N \N 36047020700 Wealthy, urban without Kids 8 15 1
2117 \N \N 36047094402 Wealthy, urban without Kids 28 42 1
2118 \N \N 36047098200 Wealthy, urban without Kids 28 42 1
2120 \N \N 36047035200 Wealthy, urban without Kids 28 42 1
2121 \N \N 36047035700 Wealthy, urban without Kids 28 42 1
2122 \N \N 36047056500 Wealthy, urban without Kids 8 15 1
2123 \N \N 36047056900 Wealthy, urban without Kids 8 15 1
2124 \N \N 36047057100 Wealthy, urban without Kids 8 15 1
2125 \N \N 36047057200 Wealthy, urban without Kids 28 42 1
2126 \N \N 36047057300 Wealthy, urban without Kids 8 15 1
2127 \N \N 36047057500 Wealthy, urban without Kids 8 15 1
2128 \N \N 36047057900 Wealthy, urban without Kids 8 15 1
2129 \N \N 36047058900 Wealthy, urban without Kids 8 15 1
2130 \N \N 36047059100 Wealthy, urban without Kids 8 15 1
2131 \N \N 36047059300 Wealthy, urban without Kids 8 15 1
2132 \N \N 36047003300 Wealthy, urban without Kids 8 15 1
2133 \N \N 36047003700 Wealthy, urban without Kids 28 42 1
2134 \N \N 36047003900 Wealthy, urban without Kids 8 15 1
2135 \N \N 36047004100 Wealthy, urban without Kids 8 15 1
2136 \N \N 36047004300 Wealthy, urban without Kids 8 15 1
2137 \N \N 36047004500 Wealthy, urban without Kids 8 15 1
2138 \N \N 36047004700 Wealthy, urban without Kids 8 15 1
2139 \N \N 36047004900 Wealthy, urban without Kids 8 15 1
2140 \N \N 36047005100 Wealthy, urban without Kids 8 15 1
2141 \N \N 36047022100 Wealthy, urban without Kids 8 15 1
2142 \N \N 36047022700 Wealthy, urban without Kids 8 15 1
2143 \N \N 36047022900 Wealthy, urban without Kids 8 15 1
2144 \N \N 36047023100 Wealthy, urban without Kids 8 15 1
2145 \N \N 36047023500 Wealthy, urban without Kids 8 15 1
2146 \N \N 36047024100 Wealthy, urban without Kids 8 15 1
2147 \N \N 36047103400 Wealthy, urban without Kids 28 42 1
2148 \N \N 36047110600 Wealthy, urban without Kids 28 42 1
2149 \N \N 36047011900 Wealthy, urban without Kids 8 15 1
2150 \N \N 36047048500 Wealthy, urban without Kids 8 15 1
2151 \N \N 36047056100 Wealthy, urban without Kids 8 15 1
2152 \N \N 36047080800 Wealthy, urban without Kids 28 42 1
2153 \N \N 36047150200 Wealthy, urban without Kids 8 15 1
2154 \N \N 36047005900 Wealthy, urban without Kids 8 15 1
2155 \N \N 36047006300 Wealthy, urban without Kids 8 15 1
2156 \N \N 36047006500 Wealthy, urban without Kids 8 15 1
2157 \N \N 36047006700 Wealthy, urban without Kids 8 15 1
2158 \N \N 36047006900 Wealthy, urban without Kids 8 15 1
2159 \N \N 36047007200 Wealthy, urban without Kids 28 42 1
2160 \N \N 36047007500 Wealthy, urban without Kids 8 15 1
2161 \N \N 36047007700 Wealthy, urban without Kids 8 15 1
2162 \N \N 36047008500 Wealthy, urban without Kids 28 42 1
2163 \N \N 36047025500 Wealthy, urban without Kids 28 42 1
2164 \N \N 36047025902 Wealthy, urban without Kids 28 42 1
2165 \N \N 36047030500 Wealthy, urban without Kids 8 15 1
2166 \N \N 36047000501 Wealthy, urban without Kids 28 42 1
2167 \N \N 36047000502 Wealthy, urban without Kids 28 42 1
2168 \N \N 36047001500 Wealthy, urban without Kids 8 11 1
2169 \N \N 36047050801 Wealthy, urban without Kids 28 42 1
2170 \N \N 36047051001 Wealthy, urban without Kids 28 42 1
2171 \N \N 36047028502 Wealthy, urban without Kids 28 42 1
2172 \N \N 36047049500 Wealthy, urban without Kids 8 15 1
2173 \N \N 36047049700 Wealthy, urban without Kids 8 15 1
2174 \N \N 36047049900 Wealthy, urban without Kids 8 15 1
2175 \N \N 36047050000 Wealthy, urban without Kids 8 15 1
2176 \N \N 36047050100 Wealthy, urban without Kids 8 15 1
2177 \N \N 36047042500 Wealthy, urban without Kids 8 15 1
2178 \N \N 36047042900 Wealthy, urban without Kids 28 42 1
2179 \N \N 36047011700 Wealthy, urban without Kids 8 15 1
2180 \N \N 36047012100 Wealthy, urban without Kids 8 15 1
2181 \N \N 36047012901 Wealthy, urban without Kids 8 15 1
2182 \N \N 36047012902 Wealthy, urban without Kids 8 15 1
2183 \N \N 36047013100 Wealthy, urban without Kids 8 15 1
2184 \N \N 36047050300 Wealthy, urban without Kids 8 15 1
2185 \N \N 36047051300 Wealthy, urban without Kids 8 15 1
2186 \N \N 36047051500 Wealthy, urban without Kids 8 15 1
2187 \N \N 36047051700 Wealthy, urban without Kids 8 15 1
2188 \N \N 36047051900 Wealthy, urban without Kids 8 15 1
2189 \N \N 36047045300 Wealthy, urban without Kids 8 15 1
2190 \N \N 36047047700 Wealthy, urban without Kids 8 15 1
2191 \N \N 36047048100 Wealthy, urban without Kids 8 15 1
2192 \N \N 36047013300 Wealthy, urban without Kids 8 15 1
2193 \N \N 36047013500 Wealthy, urban without Kids 8 15 1
2194 \N \N 36047013700 Wealthy, urban without Kids 8 15 1
2195 \N \N 36047013900 Wealthy, urban without Kids 8 15 1
2196 \N \N 36047014100 Wealthy, urban without Kids 8 15 1
2197 \N \N 36047014300 Wealthy, urban without Kids 8 15 1
2198 \N \N 36047014500 Wealthy, urban without Kids 8 15 1
2199 \N \N 36047014700 Wealthy, urban without Kids 8 15 1
2200 \N \N 36047014900 Wealthy, urban without Kids 8 15 1
2201 \N \N 36047015100 Wealthy, urban without Kids 8 15 1
2202 \N \N 36047015300 Wealthy, urban without Kids 8 15 1
2203 \N \N 36047015500 Wealthy, urban without Kids 8 15 1
2204 \N \N 36047015700 Wealthy, urban without Kids 8 15 1
2205 \N \N 36047015900 Wealthy, urban without Kids 8 15 1
2206 \N \N 36047016100 Wealthy, urban without Kids 8 15 1
2207 \N \N 36047121000 Wealthy, urban without Kids 28 42 1
2208 \N \N 36047121400 Wealthy, urban without Kids 28 42 1
2209 \N \N 36047051601 Wealthy, urban without Kids 28 42 1
2210 \N \N 36047016300 Wealthy, urban without Kids 8 15 1
2211 \N \N 36047016400 Wealthy, urban without Kids 28 42 1
2212 \N \N 36047016500 Wealthy, urban without Kids 8 15 1
2213 \N \N 36047016700 Wealthy, urban without Kids 8 15 1
2214 \N \N 36047016900 Wealthy, urban without Kids 8 15 1
2215 \N \N 36047017100 Wealthy, urban without Kids 8 15 1
2216 \N \N 36047018100 Wealthy, urban without Kids 8 15 1
2217 \N \N 36047018300 Wealthy, urban without Kids 8 15 1
2218 \N \N 36047018700 Wealthy, urban without Kids 8 15 1
2219 \N \N 36047090600 Wealthy, urban without Kids 28 42 1
2220 \N \N 36047090800 Wealthy, urban without Kids 28 42 1
2221 \N \N 36047091200 Wealthy, urban without Kids 28 42 1
28199 \N \N 36047065600 Middle Income, Single Family Home 6 12 2
28208 \N \N 36047070202 Middle Income, Single Family Home 5 5 2
54632 \N \N 36047075200 Wealthy Nuclear Families 24 36 2
54633 \N \N 36047075400 Wealthy Nuclear Families 24 36 2
54649 \N \N 36047062000 Wealthy Nuclear Families 24 36 2
54650 \N \N 36047005300 Wealthy Nuclear Families 13 22 2
57998 \N \N 36047035000 Wealthy Old Caucasion 11 49 2
57999 \N \N 36047019300 Wealthy Old Caucasion 11 49 2
58000 \N \N 36047077600 Wealthy Old Caucasion 11 49 2
58002 \N \N 36047035400 Wealthy Old Caucasion 11 49 2
58003 \N \N 36047036001 Wealthy Old Caucasion 11 49 2
58004 \N \N 36047036002 Wealthy Old Caucasion 11 49 2
58005 \N \N 36047057000 Wealthy Old Caucasion 11 49 2
58006 \N \N 36047058800 Wealthy Old Caucasion 11 49 2
58007 \N \N 36047003100 Wealthy Old Caucasion 11 49 2
58008 \N \N 36047003600 Wealthy Old Caucasion 11 49 2
58009 \N \N 36047060600 Wealthy Old Caucasion 11 49 2
58010 \N \N 36047005201 Wealthy Old Caucasion 11 49 2
58011 \N \N 36047005202 Wealthy Old Caucasion 11 49 2
58012 \N \N 36047004400 Wealthy Old Caucasion 14 21 2
58013 \N \N 36047059600 Wealthy Old Caucasion 11 49 2
58014 \N \N 36047060800 Wealthy Old Caucasion 11 49 2
58015 \N \N 36047061200 Wealthy Old Caucasion 14 21 2
58016 \N \N 36047062200 Wealthy Old Caucasion 11 49 2
58017 \N \N 36047063200 Wealthy Old Caucasion 11 49 2
58018 \N \N 36047005601 Wealthy Old Caucasion 11 49 2
58019 \N \N 36047105804 Wealthy Old Caucasion 11 49 2
58020 \N \N 36047035601 Wealthy Old Caucasion 11 49 2
58021 \N \N 36047035602 Wealthy Old Caucasion 11 49 2
58022 \N \N 36047037401 Wealthy Old Caucasion 11 49 2
58023 \N \N 36047037402 Wealthy Old Caucasion 11 49 2
58024 \N \N 36047029400 Wealthy Old Caucasion 11 49 2
58025 \N \N 36047030800 Wealthy Old Caucasion 11 49 2
58026 \N \N 36047031400 Wealthy Old Caucasion 11 49 2
58027 \N \N 36047046201 Wealthy Old Caucasion 11 49 2
58028 \N \N 36047004600 Wealthy Old Caucasion 14 21 2
58029 \N \N 36047061002 Wealthy Old Caucasion 11 49 2
58030 \N \N 36047061600 Wealthy Old Caucasion 14 21 2
58031 \N \N 36047061004 Wealthy Old Caucasion 11 49 2
58032 \N \N 36047105801 Wealthy Old Caucasion 11 49 2
58033 \N \N 36047072800 Wealthy Old Caucasion 11 49 2
65333 \N \N 36047053500 Hispanic and Young 21 54 1
65334 \N \N 36047053700 Hispanic and Young 21 54 1
65335 \N \N 36047053900 Hispanic and Young 21 54 1
65336 \N \N 36047054700 Hispanic and Young 21 54 1
65337 \N \N 36047000200 Hispanic and Young 21 32 1
65338 \N \N 36047001800 Hispanic and Young 3 3 1
65339 \N \N 36047002000 Hispanic and Young 21 32 1
65340 \N \N 36047021800 Hispanic and Young 21 54 1
65341 \N \N 36047036200 Hispanic and Young 21 32 1
65342 \N \N 36047002200 Hispanic and Young 21 32 1
65343 \N \N 36047022000 Hispanic and Young 21 54 1
65344 \N \N 36047022200 Hispanic and Young 21 54 1
65345 \N \N 36047022400 Hispanic and Young 21 54 1
65346 \N \N 36047022600 Hispanic and Young 21 32 1
65347 \N \N 36047022800 Hispanic and Young 21 54 1
65348 \N \N 36047023000 Hispanic and Young 21 54 1
65349 \N \N 36047023200 Hispanic and Young 21 54 1
65350 \N \N 36047023400 Hispanic and Young 21 54 1
65351 \N \N 36047023600 Hispanic and Young 21 54 1
65352 \N \N 36047023800 Hispanic and Young 21 54 1
65353 \N \N 36047024000 Hispanic and Young 21 54 1
65354 \N \N 36047024200 Hispanic and Young 21 54 1
65355 \N \N 36047024400 Hispanic and Young 21 54 1
65356 \N \N 36047021100 Hispanic and Young 21 32 1
65357 \N \N 36047123700 Hispanic and Young 21 54 1
65358 \N \N 36047038900 Hispanic and Young 21 32 1
65359 \N \N 36047039100 Hispanic and Young 21 32 1
65360 \N \N 36047039500 Hispanic and Young 21 32 1
65361 \N \N 36047007400 Hispanic and Young 21 32 1
65362 \N \N 36047007600 Hispanic and Young 21 32 1
65363 \N \N 36047007800 Hispanic and Young 21 32 1
65364 \N \N 36047008000 Hispanic and Young 21 32 1
65365 \N \N 36047008200 Hispanic and Young 21 32 1
65366 \N \N 36047008400 Hispanic and Young 21 32 1
65367 \N \N 36047117400 Hispanic and Young 21 32 1
65368 \N \N 36047117601 Hispanic and Young 21 32 1
65369 \N \N 36047034800 Hispanic and Young 21 34 1
65372 \N \N 36047040900 Hispanic and Young 21 32 1
65373 \N \N 36047042100 Hispanic and Young 21 32 1
65374 \N \N 36047042300 Hispanic and Young 21 32 1
65375 \N \N 36047042700 Hispanic and Young 21 32 1
65376 \N \N 36047043100 Hispanic and Young 21 32 1
65377 \N \N 36047043300 Hispanic and Young 21 32 1
65378 \N \N 36047043500 Hispanic and Young 21 32 1
65379 \N \N 36047043700 Hispanic and Young 21 32 1
65380 \N \N 36047043900 Hispanic and Young 21 32 1
65381 \N \N 36047044100 Hispanic and Young 21 32 1
65382 \N \N 36047044300 Hispanic and Young 21 32 1
65383 \N \N 36047008800 Hispanic and Young 21 32 1
65384 \N \N 36047009000 Hispanic and Young 21 32 1
65385 \N \N 36047009600 Hispanic and Young 21 32 1
65386 \N \N 36047009800 Hispanic and Young 21 32 1
65387 \N \N 36047010100 Hispanic and Young 21 32 1
65388 \N \N 36047012200 Hispanic and Young 21 32 1
65389 \N \N 36047050700 Hispanic and Young 21 54 1
65390 \N \N 36047050900 Hispanic and Young 21 54 1
65391 \N \N 36047052900 Hispanic and Young 21 54 1
65392 \N \N 36047053100 Hispanic and Young 21 54 1
65393 \N \N 36047053300 Hispanic and Young 21 54 1
65394 \N \N 36047044500 Hispanic and Young 21 32 1
65395 \N \N 36047044700 Hispanic and Young 21 32 1
65396 \N \N 36047045000 Hispanic and Young 21 34 1
65397 \N \N 36047046400 Hispanic and Young 21 54 1
65398 \N \N 36047046800 Hispanic and Young 21 54 1
65399 \N \N 36047047000 Hispanic and Young 21 54 1
65400 \N \N 36047047200 Hispanic and Young 21 54 1
65401 \N \N 36047047400 Hispanic and Young 21 54 1
65402 \N \N 36047047600 Hispanic and Young 21 54 1
65403 \N \N 36047047800 Hispanic and Young 21 54 1
65404 \N \N 36047017500 Hispanic and Young 3 3 1
70605 \N \N 36047031500 Low income, mix of minorities 22 33 1
70606 \N \N 36047031701 Low income, mix of minorities 27 41 1
70607 \N \N 36047031702 Low income, mix of minorities 27 41 1
70608 \N \N 36047031900 Low income, mix of minorities 27 41 1
70609 \N \N 36047032100 Low income, mix of minorities 22 33 1
70610 \N \N 36047032300 Low income, mix of minorities 22 33 1
70611 \N \N 36047032500 Low income, mix of minorities 22 33 1
70612 \N \N 36047032600 Low income, mix of minorities 22 33 1
70613 \N \N 36047032700 Low income, mix of minorities 22 33 1
70614 \N \N 36047032800 Low income, mix of minorities 22 33 1
70615 \N \N 36047032900 Low income, mix of minorities 22 33 1
70616 \N \N 36047033000 Low income, mix of minorities 22 33 1
70617 \N \N 36047033100 Low income, mix of minorities 22 33 1
70618 \N \N 36047033300 Low income, mix of minorities 19 29 1
70619 \N \N 36047033500 Low income, mix of minorities 19 29 1
70620 \N \N 36047033600 Low income, mix of minorities 19 29 1
70621 \N \N 36047033700 Low income, mix of minorities 27 41 1
70622 \N \N 36047033900 Low income, mix of minorities 27 41 1
70623 \N \N 36047034100 Low income, mix of minorities 27 41 1
70624 \N \N 36047034200 Low income, mix of minorities 22 33 1
70625 \N \N 36047034300 Low income, mix of minorities 22 33 1
70626 \N \N 36047034500 Low income, mix of minorities 27 41 1
70627 \N \N 36047034700 Low income, mix of minorities 22 33 1
70628 \N \N 36047034900 Low income, mix of minorities 22 33 1
70629 \N \N 36047035100 Low income, mix of minorities 22 33 1
70630 \N \N 36047053400 Low income, mix of minorities 19 29 1
70631 \N \N 36047053800 Low income, mix of minorities 22 33 1
70632 \N \N 36047054200 Low income, mix of minorities 19 29 1
70633 \N \N 36047054400 Low income, mix of minorities 19 29 1
70634 \N \N 36047054500 Low income, mix of minorities 22 33 1
70635 \N \N 36047054800 Low income, mix of minorities 19 29 1
70636 \N \N 36047055000 Low income, mix of minorities 19 29 1
70637 \N \N 36047055200 Low income, mix of minorities 22 33 1
70638 \N \N 36047055400 Low income, mix of minorities 22 33 1
70639 \N \N 36047055600 Low income, mix of minorities 19 29 1
70640 \N \N 36047055800 Low income, mix of minorities 19 29 1
70641 \N \N 36047056000 Low income, mix of minorities 19 29 1
70642 \N \N 36047056200 Low income, mix of minorities 19 29 1
70643 \N \N 36047056400 Low income, mix of minorities 19 29 1
70644 \N \N 36047048600 Low income, mix of minorities 19 29 1
70645 \N \N 36047048800 Low income, mix of minorities 19 29 1
70646 \N \N 36047048900 Low income, mix of minorities 22 33 1
70647 \N \N 36047049000 Low income, mix of minorities 22 33 1
70648 \N \N 36047049100 Low income, mix of minorities 22 33 1
70649 \N \N 36047049200 Low income, mix of minorities 19 29 1
70650 \N \N 36047075800 Low income, mix of minorities 19 29 1
70651 \N \N 36047018800 Low income, mix of minorities 19 29 1
70652 \N \N 36047019000 Low income, mix of minorities 19 29 1
70653 \N \N 36047019200 Low income, mix of minorities 19 29 1
70654 \N \N 36047019400 Low income, mix of minorities 19 29 1
70655 \N \N 36047019600 Low income, mix of minorities 19 29 1
70656 \N \N 36047019800 Low income, mix of minorities 19 29 1
70657 \N \N 36047020000 Low income, mix of minorities 19 29 1
70658 \N \N 36047020200 Low income, mix of minorities 19 29 1
70659 \N \N 36047020400 Low income, mix of minorities 19 29 1
70660 \N \N 36047020600 Low income, mix of minorities 19 29 1
70661 \N \N 36047020800 Low income, mix of minorities 19 29 1
70662 \N \N 36047021000 Low income, mix of minorities 19 29 1
70663 \N \N 36047021200 Low income, mix of minorities 19 29 1
70664 \N \N 36047021300 Low income, mix of minorities 22 33 1
70665 \N \N 36047021400 Low income, mix of minorities 19 29 1
70666 \N \N 36047021500 Low income, mix of minorities 22 33 1
70667 \N \N 36047021600 Low income, mix of minorities 19 29 1
70668 \N \N 36047021700 Low income, mix of minorities 22 33 1
70669 \N \N 36047093000 Low income, mix of minorities 27 41 1
70670 \N \N 36047093400 Low income, mix of minorities 27 41 1
70671 \N \N 36047093600 Low income, mix of minorities 27 41 1
70672 \N \N 36047093800 Low income, mix of minorities 27 41 1
70673 \N \N 36047094401 Low income, mix of minorities 27 41 1
70674 \N \N 36047095000 Low income, mix of minorities 27 41 1
70675 \N \N 36047095400 Low income, mix of minorities 27 41 1
70676 \N \N 36047095600 Low income, mix of minorities 27 41 1
70677 \N \N 36047095800 Low income, mix of minorities 27 41 1
70678 \N \N 36047096200 Low income, mix of minorities 27 41 1
70679 \N \N 36047096400 Low income, mix of minorities 27 41 1
70680 \N \N 36047096600 Low income, mix of minorities 27 41 1
70681 \N \N 36047096800 Low income, mix of minorities 27 41 1
70682 \N \N 36047097000 Low income, mix of minorities 27 41 1
70683 \N \N 36047097400 Low income, mix of minorities 27 41 1
70684 \N \N 36047098400 Low income, mix of minorities 27 41 1
70685 \N \N 36047098600 Low income, mix of minorities 27 41 1
70686 \N \N 36047098800 Low income, mix of minorities 27 41 1
70687 \N \N 36047099000 Low income, mix of minorities 27 41 1
70688 \N \N 36047099200 Low income, mix of minorities 27 41 1
70689 \N \N 36047099400 Low income, mix of minorities 27 41 1
70690 \N \N 36047099600 Low income, mix of minorities 27 41 1
70691 \N \N 36047074600 Low income, mix of minorities 19 29 1
70692 \N \N 36047074800 Low income, mix of minorities 19 29 1
70693 \N \N 36047075000 Low income, mix of minorities 19 29 1
70694 \N \N 36047075600 Low income, mix of minorities 19 29 1
70695 \N \N 36047076000 Low income, mix of minorities 19 29 1
70696 \N \N 36047076200 Low income, mix of minorities 22 33 1
70697 \N \N 36047076400 Low income, mix of minorities 22 33 1
70698 \N \N 36047076600 Low income, mix of minorities 22 33 1
70699 \N \N 36047077000 Low income, mix of minorities 19 29 1
70700 \N \N 36047077200 Low income, mix of minorities 19 29 1
70701 \N \N 36047077400 Low income, mix of minorities 19 29 1
70702 \N \N 36047078000 Low income, mix of minorities 27 41 1
70703 \N \N 36047078200 Low income, mix of minorities 22 33 1
70704 \N \N 36047078400 Low income, mix of minorities 27 41 1
70705 \N \N 36047078600 Low income, mix of minorities 27 41 1
70706 \N \N 36047078800 Low income, mix of minorities 27 41 1
70707 \N \N 36047079000 Low income, mix of minorities 27 41 1
70708 \N \N 36047079200 Low income, mix of minorities 27 41 1
70709 \N \N 36047079400 Low income, mix of minorities 27 41 1
70710 \N \N 36047080000 Low income, mix of minorities 27 41 1
70711 \N \N 36047080200 Low income, mix of minorities 27 41 1
70712 \N \N 36047080400 Low income, mix of minorities 27 41 1
70713 \N \N 36047080600 Low income, mix of minorities 27 41 1
70715 \N \N 36047035300 Low income, mix of minorities 22 33 1
70716 \N \N 36047035500 Low income, mix of minorities 22 33 1
70717 \N \N 36047035900 Low income, mix of minorities 27 41 1
70718 \N \N 36047036100 Low income, mix of minorities 22 33 1
70719 \N \N 36047036300 Low income, mix of minorities 27 41 1
70720 \N \N 36047036400 Low income, mix of minorities 19 29 1
70721 \N \N 36047036501 Low income, mix of minorities 27 41 1
70722 \N \N 36047036502 Low income, mix of minorities 27 41 1
70723 \N \N 36047036600 Low income, mix of minorities 19 29 1
70724 \N \N 36047036700 Low income, mix of minorities 27 41 1
70725 \N \N 36047036900 Low income, mix of minorities 27 41 1
70726 \N \N 36047037000 Low income, mix of minorities 19 29 1
70727 \N \N 36047037100 Low income, mix of minorities 27 41 1
70728 \N \N 36047037300 Low income, mix of minorities 27 41 1
70729 \N \N 36047037500 Low income, mix of minorities 27 41 1
70730 \N \N 36047037700 Low income, mix of minorities 27 41 1
70731 \N \N 36047056600 Low income, mix of minorities 19 29 1
70732 \N \N 36047056800 Low income, mix of minorities 19 29 1
70733 \N \N 36047057400 Low income, mix of minorities 19 29 1
70734 \N \N 36047057600 Low income, mix of minorities 19 29 1
70735 \N \N 36047057800 Low income, mix of minorities 19 29 1
70736 \N \N 36047058000 Low income, mix of minorities 19 29 1
70737 \N \N 36047058200 Low income, mix of minorities 19 29 1
70738 \N \N 36047058400 Low income, mix of minorities 19 29 1
70739 \N \N 36047058600 Low income, mix of minorities 19 29 1
70740 \N \N 36047059000 Low income, mix of minorities 19 29 1
70741 \N \N 36047059200 Low income, mix of minorities 19 29 1
70742 \N \N 36047059401 Low income, mix of minorities 19 29 1
70743 \N \N 36047059402 Low income, mix of minorities 19 29 1
70744 \N \N 36047002300 Low income, mix of minorities 22 33 1
70745 \N \N 36047002901 Low income, mix of minorities 27 41 1
70746 \N \N 36047003000 Low income, mix of minorities 19 29 1
70747 \N \N 36047003400 Low income, mix of minorities 19 29 1
70748 \N \N 36047003500 Low income, mix of minorities 22 33 1
70749 \N \N 36047003800 Low income, mix of minorities 19 29 1
70750 \N \N 36047005000 Low income, mix of minorities 19 29 1
70751 \N \N 36047005400 Low income, mix of minorities 19 29 1
70752 \N \N 36047021900 Low income, mix of minorities 22 33 1
70753 \N \N 36047023300 Low income, mix of minorities 22 33 1
70754 \N \N 36047024300 Low income, mix of minorities 27 41 1
70755 \N \N 36047024500 Low income, mix of minorities 27 41 1
70756 \N \N 36047024600 Low income, mix of minorities 19 29 1
70757 \N \N 36047024700 Low income, mix of minorities 27 41 1
70758 \N \N 36047024800 Low income, mix of minorities 19 29 1
70759 \N \N 36047024900 Low income, mix of minorities 27 41 1
70760 \N \N 36047099800 Low income, mix of minorities 27 41 1
70761 \N \N 36047100400 Low income, mix of minorities 27 41 1
70762 \N \N 36047100600 Low income, mix of minorities 27 41 1
70763 \N \N 36047100800 Low income, mix of minorities 27 41 1
70764 \N \N 36047101000 Low income, mix of minorities 27 41 1
70765 \N \N 36047101200 Low income, mix of minorities 27 41 1
70766 \N \N 36047101400 Low income, mix of minorities 27 41 1
70767 \N \N 36047101600 Low income, mix of minorities 27 41 1
70768 \N \N 36047101800 Low income, mix of minorities 27 41 1
70769 \N \N 36047102000 Low income, mix of minorities 27 41 1
70770 \N \N 36047102200 Low income, mix of minorities 27 41 1
70771 \N \N 36047102400 Low income, mix of minorities 27 41 1
70772 \N \N 36047102600 Low income, mix of minorities 27 41 1
70773 \N \N 36047102800 Low income, mix of minorities 27 41 1
70774 \N \N 36047107000 Low income, mix of minorities 12 16 1
70775 \N \N 36047107800 Low income, mix of minorities 27 41 1
70776 \N \N 36047109800 Low income, mix of minorities 27 41 1
70777 \N \N 36047111000 Low income, mix of minorities 22 33 1
70778 \N \N 36047111800 Low income, mix of minorities 27 41 1
70779 \N \N 36047112000 Low income, mix of minorities 27 41 1
70780 \N \N 36047112200 Low income, mix of minorities 27 41 1
70781 \N \N 36047112400 Low income, mix of minorities 27 41 1
70782 \N \N 36047081000 Low income, mix of minorities 27 41 1
70783 \N \N 36047081400 Low income, mix of minorities 27 41 1
70784 \N \N 36047081600 Low income, mix of minorities 27 41 1
70785 \N \N 36047081800 Low income, mix of minorities 22 33 1
70786 \N \N 36047114400 Low income, mix of minorities 27 41 1
70787 \N \N 36047015200 Low income, mix of minorities 19 29 1
70788 \N \N 36047016600 Low income, mix of minorities 19 29 1
70789 \N \N 36047092400 Low income, mix of minorities 27 41 1
70790 \N \N 36047093200 Low income, mix of minorities 12 16 1
70791 \N \N 36047110400 Low income, mix of minorities 27 41 1
70792 \N \N 36047111600 Low income, mix of minorities 27 41 1
70793 \N \N 36047037900 Low income, mix of minorities 27 41 1
70794 \N \N 36047038100 Low income, mix of minorities 27 41 1
70795 \N \N 36047038200 Low income, mix of minorities 22 33 1
70796 \N \N 36047038300 Low income, mix of minorities 27 41 1
70797 \N \N 36047038500 Low income, mix of minorities 27 41 1
70798 \N \N 36047038600 Low income, mix of minorities 19 29 1
70799 \N \N 36047038700 Low income, mix of minorities 27 41 1
70800 \N \N 36047038800 Low income, mix of minorities 19 29 1
70801 \N \N 36047039000 Low income, mix of minorities 19 29 1
70802 \N \N 36047039200 Low income, mix of minorities 19 29 1
70803 \N \N 36047039300 Low income, mix of minorities 27 41 1
70804 \N \N 36047039400 Low income, mix of minorities 19 29 1
70805 \N \N 36047039600 Low income, mix of minorities 19 29 1
70806 \N \N 36047039700 Low income, mix of minorities 27 41 1
70807 \N \N 36047039800 Low income, mix of minorities 19 29 1
70808 \N \N 36047039900 Low income, mix of minorities 27 41 1
70809 \N \N 36047040000 Low income, mix of minorities 19 29 1
70810 \N \N 36047040100 Low income, mix of minorities 27 41 1
70811 \N \N 36047040200 Low income, mix of minorities 19 29 1
70812 \N \N 36047040300 Low income, mix of minorities 27 41 1
70813 \N \N 36047059800 Low income, mix of minorities 19 29 1
70814 \N \N 36047119000 Low income, mix of minorities 27 41 1
70815 \N \N 36047060000 Low income, mix of minorities 19 29 1
70816 \N \N 36047062800 Low income, mix of minorities 19 29 1
70817 \N \N 36047062600 Low income, mix of minorities 19 29 1
70818 \N \N 36047063600 Low income, mix of minorities 19 29 1
70819 \N \N 36047063800 Low income, mix of minorities 19 29 1
70820 \N \N 36047064000 Low income, mix of minorities 19 29 1
70821 \N \N 36047064200 Low income, mix of minorities 19 29 1
70822 \N \N 36047064400 Low income, mix of minorities 19 29 1
70823 \N \N 36047064600 Low income, mix of minorities 19 29 1
70824 \N \N 36047064800 Low income, mix of minorities 19 29 1
70825 \N \N 36047065000 Low income, mix of minorities 19 29 1
70826 \N \N 36047065200 Low income, mix of minorities 19 29 1
70827 \N \N 36047065400 Low income, mix of minorities 19 29 1
70828 \N \N 36047065800 Low income, mix of minorities 19 29 1
70829 \N \N 36047066000 Low income, mix of minorities 19 29 1
70830 \N \N 36047005602 Low income, mix of minorities 19 29 1
70831 \N \N 36047005800 Low income, mix of minorities 19 29 1
70832 \N \N 36047006000 Low income, mix of minorities 19 29 1
70833 \N \N 36047006200 Low income, mix of minorities 19 29 1
70834 \N \N 36047006400 Low income, mix of minorities 19 29 1
70835 \N \N 36047006600 Low income, mix of minorities 19 29 1
70836 \N \N 36047006800 Low income, mix of minorities 19 29 1
70837 \N \N 36047007000 Low income, mix of minorities 19 29 1
70838 \N \N 36047007100 Low income, mix of minorities 22 33 1
70839 \N \N 36047025000 Low income, mix of minorities 19 29 1
70840 \N \N 36047025100 Low income, mix of minorities 27 41 1
70841 \N \N 36047025200 Low income, mix of minorities 19 29 1
70842 \N \N 36047025300 Low income, mix of minorities 27 41 1
70843 \N \N 36047025400 Low income, mix of minorities 19 29 1
70844 \N \N 36047025600 Low income, mix of minorities 19 29 1
70845 \N \N 36047025700 Low income, mix of minorities 27 41 1
70846 \N \N 36047025800 Low income, mix of minorities 19 29 1
70847 \N \N 36047025901 Low income, mix of minorities 22 33 1
70848 \N \N 36047026000 Low income, mix of minorities 19 29 1
70849 \N \N 36047026100 Low income, mix of minorities 27 41 1
70850 \N \N 36047026200 Low income, mix of minorities 19 29 1
70851 \N \N 36047026300 Low income, mix of minorities 27 41 1
70852 \N \N 36047026400 Low income, mix of minorities 19 29 1
70853 \N \N 36047026500 Low income, mix of minorities 27 41 1
70854 \N \N 36047026600 Low income, mix of minorities 19 29 1
70855 \N \N 36047026700 Low income, mix of minorities 27 41 1
70856 \N \N 36047026800 Low income, mix of minorities 19 29 1
70857 \N \N 36047026900 Low income, mix of minorities 27 41 1
70858 \N \N 36047027000 Low income, mix of minorities 19 29 1
70859 \N \N 36047027200 Low income, mix of minorities 19 29 1
70860 \N \N 36047027300 Low income, mix of minorities 27 41 1
70861 \N \N 36047027400 Low income, mix of minorities 19 29 1
70862 \N \N 36047027500 Low income, mix of minorities 27 41 1
70863 \N \N 36047027600 Low income, mix of minorities 19 29 1
70864 \N \N 36047027700 Low income, mix of minorities 27 41 1
70865 \N \N 36047112600 Low income, mix of minorities 27 41 1
70866 \N \N 36047112800 Low income, mix of minorities 27 41 1
70867 \N \N 36047113000 Low income, mix of minorities 27 41 1
70868 \N \N 36047113200 Low income, mix of minorities 27 41 1
70869 \N \N 36047113400 Low income, mix of minorities 22 33 1
70870 \N \N 36047114201 Low income, mix of minorities 19 29 1
70871 \N \N 36047114202 Low income, mix of minorities 22 33 1
70872 \N \N 36047114600 Low income, mix of minorities 27 41 1
70873 \N \N 36047115000 Low income, mix of minorities 27 41 1
70874 \N \N 36047115200 Low income, mix of minorities 27 41 1
70875 \N \N 36047115600 Low income, mix of minorities 22 33 1
70876 \N \N 36047115800 Low income, mix of minorities 27 41 1
70877 \N \N 36047116000 Low income, mix of minorities 27 41 1
70878 \N \N 36047116200 Low income, mix of minorities 27 41 1
70879 \N \N 36047116400 Low income, mix of minorities 27 41 1
70880 \N \N 36047116600 Low income, mix of minorities 27 41 1
70881 \N \N 36047116800 Low income, mix of minorities 27 41 1
70882 \N \N 36047117000 Low income, mix of minorities 19 29 1
70883 \N \N 36047117201 Low income, mix of minorities 19 29 1
70884 \N \N 36047117202 Low income, mix of minorities 27 41 1
70885 \N \N 36047117602 Low income, mix of minorities 19 29 1
70886 \N \N 36047117800 Low income, mix of minorities 19 29 1
70887 \N \N 36047012600 Low income, mix of minorities 19 29 1
70888 \N \N 36047027100 Low income, mix of minorities 27 41 1
70889 \N \N 36047044900 Low income, mix of minorities 22 33 1
70890 \N \N 36047046000 Low income, mix of minorities 19 29 1
70891 \N \N 36047076800 Low income, mix of minorities 19 29 1
70892 \N \N 36047094600 Low income, mix of minorities 27 41 1
70893 \N \N 36047119800 Low income, mix of minorities 27 41 1
70894 \N \N 36047152200 Low income, mix of minorities 19 29 1
70895 \N \N 36047050803 Low income, mix of minorities 22 33 1
70896 \N \N 36047050804 Low income, mix of minorities 22 33 1
70897 \N \N 36047028200 Low income, mix of minorities 19 29 1
70898 \N \N 36047028300 Low income, mix of minorities 22 33 1
70899 \N \N 36047028400 Low income, mix of minorities 19 29 1
70900 \N \N 36047028501 Low income, mix of minorities 19 29 1
70901 \N \N 36047028600 Low income, mix of minorities 19 29 1
70902 \N \N 36047028700 Low income, mix of minorities 22 33 1
70904 \N \N 36047028800 Low income, mix of minorities 19 29 1
70905 \N \N 36047028900 Low income, mix of minorities 27 41 1
70906 \N \N 36047029000 Low income, mix of minorities 19 29 1
70907 \N \N 36047029100 Low income, mix of minorities 27 41 1
70908 \N \N 36047029200 Low income, mix of minorities 19 29 1
70909 \N \N 36047029300 Low income, mix of minorities 27 41 1
70910 \N \N 36047029500 Low income, mix of minorities 27 41 1
70911 \N \N 36047029600 Low income, mix of minorities 19 29 1
70912 \N \N 36047029700 Low income, mix of minorities 27 41 1
70913 \N \N 36047029800 Low income, mix of minorities 19 29 1
70914 \N \N 36047029900 Low income, mix of minorities 27 41 1
70915 \N \N 36047030000 Low income, mix of minorities 19 29 1
70916 \N \N 36047030100 Low income, mix of minorities 27 41 1
70917 \N \N 36047030200 Low income, mix of minorities 19 29 1
70918 \N \N 36047030300 Low income, mix of minorities 27 41 1
70919 \N \N 36047030400 Low income, mix of minorities 19 29 1
70920 \N \N 36047030600 Low income, mix of minorities 19 29 1
70921 \N \N 36047030700 Low income, mix of minorities 22 33 1
70922 \N \N 36047030900 Low income, mix of minorities 27 41 1
70923 \N \N 36047031100 Low income, mix of minorities 27 41 1
70924 \N \N 36047031300 Low income, mix of minorities 22 33 1
70925 \N \N 36047040400 Low income, mix of minorities 19 29 1
70926 \N \N 36047040500 Low income, mix of minorities 19 29 1
70927 \N \N 36047040600 Low income, mix of minorities 19 29 1
70928 \N \N 36047040800 Low income, mix of minorities 19 29 1
70929 \N \N 36047041000 Low income, mix of minorities 19 29 1
70930 \N \N 36047041100 Low income, mix of minorities 27 41 1
70931 \N \N 36047041200 Low income, mix of minorities 19 29 1
70932 \N \N 36047041300 Low income, mix of minorities 27 41 1
70933 \N \N 36047041401 Low income, mix of minorities 22 33 1
70934 \N \N 36047041402 Low income, mix of minorities 19 29 1
70935 \N \N 36047041500 Low income, mix of minorities 27 41 1
70936 \N \N 36047041600 Low income, mix of minorities 19 29 1
70937 \N \N 36047041700 Low income, mix of minorities 22 33 1
70938 \N \N 36047041800 Low income, mix of minorities 19 29 1
70939 \N \N 36047041900 Low income, mix of minorities 22 33 1
70940 \N \N 36047049300 Low income, mix of minorities 22 33 1
70941 \N \N 36047049400 Low income, mix of minorities 22 33 1
70942 \N \N 36047049600 Low income, mix of minorities 19 29 1
70943 \N \N 36047049800 Low income, mix of minorities 19 29 1
70944 \N \N 36047050202 Low income, mix of minorities 19 29 1
70945 \N \N 36047066200 Low income, mix of minorities 19 29 1
70946 \N \N 36047067000 Low income, mix of minorities 19 29 1
70947 \N \N 36047042000 Low income, mix of minorities 19 29 1
70948 \N \N 36047042200 Low income, mix of minorities 19 29 1
70949 \N \N 36047042400 Low income, mix of minorities 19 29 1
70950 \N \N 36047042600 Low income, mix of minorities 19 29 1
70951 \N \N 36047042800 Low income, mix of minorities 19 29 1
70952 \N \N 36047043000 Low income, mix of minorities 19 29 1
70953 \N \N 36047043200 Low income, mix of minorities 19 29 1
70954 \N \N 36047043400 Low income, mix of minorities 19 29 1
70955 \N \N 36047043600 Low income, mix of minorities 19 29 1
70956 \N \N 36047043800 Low income, mix of minorities 19 29 1
70957 \N \N 36047044000 Low income, mix of minorities 19 29 1
70958 \N \N 36047044200 Low income, mix of minorities 19 29 1
70959 \N \N 36047009200 Low income, mix of minorities 19 29 1
70960 \N \N 36047009400 Low income, mix of minorities 19 29 1
70961 \N \N 36047010000 Low income, mix of minorities 19 29 1
70962 \N \N 36047010200 Low income, mix of minorities 19 29 1
70963 \N \N 36047010400 Low income, mix of minorities 19 29 1
70964 \N \N 36047010600 Low income, mix of minorities 19 29 1
70965 \N \N 36047010800 Low income, mix of minorities 19 29 1
70966 \N \N 36047011000 Low income, mix of minorities 19 29 1
70967 \N \N 36047011200 Low income, mix of minorities 22 33 1
70968 \N \N 36047011400 Low income, mix of minorities 19 29 1
70969 \N \N 36047011600 Low income, mix of minorities 19 29 1
70970 \N \N 36047011800 Low income, mix of minorities 19 29 1
70971 \N \N 36047012000 Low income, mix of minorities 19 29 1
70972 \N \N 36047012700 Low income, mix of minorities 22 33 1
70973 \N \N 36047012801 Low income, mix of minorities 19 29 1
70974 \N \N 36047013000 Low income, mix of minorities 19 29 1
70976 \N \N 36047050400 Low income, mix of minorities 22 33 1
70977 \N \N 36047050500 Low income, mix of minorities 22 33 1
70978 \N \N 36047050600 Low income, mix of minorities 22 33 1
70979 \N \N 36047051100 Low income, mix of minorities 22 33 1
70980 \N \N 36047051200 Low income, mix of minorities 22 33 1
70981 \N \N 36047051400 Low income, mix of minorities 22 33 1
70982 \N \N 36047051800 Low income, mix of minorities 22 33 1
70983 \N \N 36047052000 Low income, mix of minorities 19 29 1
70984 \N \N 36047052300 Low income, mix of minorities 22 33 1
70985 \N \N 36047052500 Low income, mix of minorities 22 33 1
70986 \N \N 36047052600 Low income, mix of minorities 22 33 1
70987 \N \N 36047052700 Low income, mix of minorities 22 33 1
70988 \N \N 36047052800 Low income, mix of minorities 19 29 1
70989 \N \N 36047053000 Low income, mix of minorities 19 29 1
70990 \N \N 36047053200 Low income, mix of minorities 19 29 1
70991 \N \N 36047044400 Low income, mix of minorities 19 29 1
70992 \N \N 36047044600 Low income, mix of minorities 19 29 1
70993 \N \N 36047044800 Low income, mix of minorities 19 29 1
70994 \N \N 36047045200 Low income, mix of minorities 19 29 1
70995 \N \N 36047045400 Low income, mix of minorities 19 29 1
70996 \N \N 36047045600 Low income, mix of minorities 19 29 1
70997 \N \N 36047045800 Low income, mix of minorities 19 29 1
70998 \N \N 36047046202 Low income, mix of minorities 19 29 1
70999 \N \N 36047048000 Low income, mix of minorities 19 29 1
71000 \N \N 36047048200 Low income, mix of minorities 22 33 1
71001 \N \N 36047048400 Low income, mix of minorities 19 29 1
71002 \N \N 36047013200 Low income, mix of minorities 19 29 1
71003 \N \N 36047013400 Low income, mix of minorities 19 29 1
71004 \N \N 36047013600 Low income, mix of minorities 19 29 1
71005 \N \N 36047013800 Low income, mix of minorities 19 29 1
71006 \N \N 36047014000 Low income, mix of minorities 19 29 1
71007 \N \N 36047014200 Low income, mix of minorities 19 29 1
71008 \N \N 36047014800 Low income, mix of minorities 19 29 1
71009 \N \N 36047015000 Low income, mix of minorities 19 29 1
71010 \N \N 36047016000 Low income, mix of minorities 19 29 1
71011 \N \N 36047016200 Low income, mix of minorities 19 29 1
71012 \N \N 36047027800 Low income, mix of minorities 19 29 1
71013 \N \N 36047027900 Low income, mix of minorities 27 41 1
71014 \N \N 36047028000 Low income, mix of minorities 19 29 1
71015 \N \N 36047028100 Low income, mix of minorities 22 33 1
71016 \N \N 36047082000 Low income, mix of minorities 22 33 1
71017 \N \N 36047082200 Low income, mix of minorities 22 33 1
71018 \N \N 36047082400 Low income, mix of minorities 27 41 1
71019 \N \N 36047082600 Low income, mix of minorities 27 41 1
71020 \N \N 36047082800 Low income, mix of minorities 27 41 1
71021 \N \N 36047083000 Low income, mix of minorities 27 41 1
71022 \N \N 36047083200 Low income, mix of minorities 27 41 1
71023 \N \N 36047083400 Low income, mix of minorities 27 41 1
71024 \N \N 36047083600 Low income, mix of minorities 27 41 1
71025 \N \N 36047083800 Low income, mix of minorities 27 41 1
71026 \N \N 36047084000 Low income, mix of minorities 27 41 1
71027 \N \N 36047084600 Low income, mix of minorities 27 41 1
71028 \N \N 36047084800 Low income, mix of minorities 27 41 1
71029 \N \N 36047085000 Low income, mix of minorities 27 41 1
71030 \N \N 36047085400 Low income, mix of minorities 27 41 1
71031 \N \N 36047085600 Low income, mix of minorities 27 41 1
71032 \N \N 36047085800 Low income, mix of minorities 27 41 1
71033 \N \N 36047086000 Low income, mix of minorities 27 41 1
71034 \N \N 36047086200 Low income, mix of minorities 27 41 1
71035 \N \N 36047086400 Low income, mix of minorities 27 41 1
71036 \N \N 36047086600 Low income, mix of minorities 27 41 1
71037 \N \N 36047086800 Low income, mix of minorities 27 41 1
71038 \N \N 36047118201 Low income, mix of minorities 19 29 1
71039 \N \N 36047118202 Low income, mix of minorities 19 29 1
71040 \N \N 36047118400 Low income, mix of minorities 19 29 1
71041 \N \N 36047118600 Low income, mix of minorities 19 29 1
71042 \N \N 36047118800 Low income, mix of minorities 19 29 1
71043 \N \N 36047119200 Low income, mix of minorities 27 41 1
71044 \N \N 36047119400 Low income, mix of minorities 27 41 1
71045 \N \N 36047119600 Low income, mix of minorities 27 41 1
71046 \N \N 36047120000 Low income, mix of minorities 19 29 1
71047 \N \N 36047120800 Low income, mix of minorities 27 41 1
71048 \N \N 36047122000 Low income, mix of minorities 27 41 1
71049 \N \N 36047054600 Low income, mix of minorities 19 29 1
71050 \N \N 36047120200 Low income, mix of minorities 19 29 1
71051 \N \N 36047072600 Low income, mix of minorities 27 41 1
71052 \N \N 36047067200 Low income, mix of minorities 27 41 1
71053 \N \N 36047067400 Low income, mix of minorities 27 41 1
71054 \N \N 36047067600 Low income, mix of minorities 27 41 1
71055 \N \N 36047067800 Low income, mix of minorities 27 41 1
71056 \N \N 36047051002 Low income, mix of minorities 22 33 1
71057 \N \N 36047051602 Low income, mix of minorities 22 33 1
71058 \N \N 36047061003 Low income, mix of minorities 19 29 1
71059 \N \N 36047069601 Low income, mix of minorities 19 29 1
71060 \N \N 36047069602 Low income, mix of minorities 19 29 1
71061 \N \N 36047079601 Low income, mix of minorities 22 33 1
71062 \N \N 36047079602 Low income, mix of minorities 22 33 1
71063 \N \N 36047079801 Low income, mix of minorities 22 33 1
71064 \N \N 36047079802 Low income, mix of minorities 22 33 1
71065 \N \N 36047016800 Low income, mix of minorities 19 29 1
71066 \N \N 36047017000 Low income, mix of minorities 19 29 1
71067 \N \N 36047017200 Low income, mix of minorities 19 29 1
71068 \N \N 36047017400 Low income, mix of minorities 19 29 1
71069 \N \N 36047017600 Low income, mix of minorities 19 29 1
71070 \N \N 36047017800 Low income, mix of minorities 19 29 1
71071 \N \N 36047017900 Low income, mix of minorities 22 33 1
71072 \N \N 36047018000 Low income, mix of minorities 19 29 1
71073 \N \N 36047018200 Low income, mix of minorities 19 29 1
71074 \N \N 36047018400 Low income, mix of minorities 19 29 1
71075 \N \N 36047018501 Low income, mix of minorities 22 33 1
71076 \N \N 36047018600 Low income, mix of minorities 19 29 1
71077 \N \N 36047087000 Low income, mix of minorities 27 41 1
71078 \N \N 36047087200 Low income, mix of minorities 27 41 1
71079 \N \N 36047087401 Low income, mix of minorities 27 41 1
71080 \N \N 36047087600 Low income, mix of minorities 27 41 1
71081 \N \N 36047087800 Low income, mix of minorities 27 41 1
71082 \N \N 36047088000 Low income, mix of minorities 27 41 1
71083 \N \N 36047088200 Low income, mix of minorities 27 41 1
71084 \N \N 36047088400 Low income, mix of minorities 27 41 1
71085 \N \N 36047088600 Low income, mix of minorities 27 41 1
71086 \N \N 36047088800 Low income, mix of minorities 27 41 1
71087 \N \N 36047089000 Low income, mix of minorities 27 41 1
71088 \N \N 36047089200 Low income, mix of minorities 27 41 1
71089 \N \N 36047089400 Low income, mix of minorities 27 41 1
71090 \N \N 36047089600 Low income, mix of minorities 27 41 1
71091 \N \N 36047089800 Low income, mix of minorities 27 41 1
71092 \N \N 36047090000 Low income, mix of minorities 27 41 1
71093 \N \N 36047090200 Low income, mix of minorities 22 33 1
71094 \N \N 36047091000 Low income, mix of minorities 27 41 1
71095 \N \N 36047091600 Low income, mix of minorities 27 41 1
71096 \N \N 36047091800 Low income, mix of minorities 22 33 1
71097 \N \N 36047092000 Low income, mix of minorities 27 41 1
71098 \N \N 36047092200 Low income, mix of minorities 27 41 1
71099 \N \N 36047092800 Low income, mix of minorities 27 41 1
71100 \N \N 36047068000 Low income, mix of minorities 27 41 1
71101 \N \N 36047068200 Low income, mix of minorities 27 41 1
71102 \N \N 36047068600 Low income, mix of minorities 19 29 1
71103 \N \N 36047068800 Low income, mix of minorities 27 41 1
71104 \N \N 36047069000 Low income, mix of minorities 27 41 1
71105 \N \N 36047069200 Low income, mix of minorities 27 41 1
71106 \N \N 36047069800 Low income, mix of minorities 19 29 1
71107 \N \N 36047070000 Low income, mix of minorities 19 29 1
71108 \N \N 36047070201 Low income, mix of minorities 19 29 1
71109 \N \N 36047070600 Low income, mix of minorities 19 29 1
71110 \N \N 36047072000 Low income, mix of minorities 27 41 1
71111 \N \N 36047072200 Low income, mix of minorities 27 41 1
71112 \N \N 36047072400 Low income, mix of minorities 27 41 1
71113 \N \N 36047073000 Low income, mix of minorities 27 41 1
71114 \N \N 36047073200 Low income, mix of minorities 27 41 1
71115 \N \N 36047073400 Low income, mix of minorities 27 41 1
71116 \N \N 36047073600 Low income, mix of minorities 27 41 1
71117 \N \N 36047073800 Low income, mix of minorities 19 29 1
71118 \N \N 36047074000 Low income, mix of minorities 19 29 1
71119 \N \N 36047074200 Low income, mix of minorities 19 29 1
71120 \N \N 36047074400 Low income, mix of minorities 19 29 1
\.
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d SET SCHEMA observatory;

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@ -1,12 +0,0 @@
CREATE TABLE IF NOT EXISTS obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1 (
cartodb_id integer,
the_geom geometry(Geometry,4326),
the_geom_webmercator geometry(Geometry,3857),
geoid text
);
INSERT INTO obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1(cartodb_id, the_geom, the_geom_webmercator, geoid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
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1 SET SCHEMA observatory;

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CREATE TABLE IF NOT EXISTS obs_ab038198aaab3f3cb055758638ee4de28ad70146 (
cartodb_id integer,
the_geom geometry(Geometry,4326),
the_geom_webmercator geometry(Geometry,3857),
geoid text,
total_pop double precision,
male_pop double precision,
female_pop double precision,
median_age double precision,
white_pop double precision,
black_pop double precision,
asian_pop double precision,
hispanic_pop double precision,
amerindian_pop double precision,
other_race_pop double precision,
two_or_more_races_pop double precision,
not_hispanic_pop double precision,
not_us_citizen_pop double precision,
workers_16_and_over double precision,
commuters_by_car_truck_van double precision,
commuters_drove_alone double precision,
commuters_by_carpool double precision,
commuters_by_public_transportation double precision,
commuters_by_bus double precision,
commuters_by_subway_or_elevated double precision,
walked_to_work double precision,
worked_at_home double precision,
children double precision,
households double precision,
population_3_years_over double precision,
in_school double precision,
in_grades_1_to_4 double precision,
in_grades_5_to_8 double precision,
in_grades_9_to_12 double precision,
in_undergrad_college double precision,
pop_25_years_over double precision,
high_school_diploma double precision,
less_one_year_college double precision,
one_year_more_college double precision,
associates_degree double precision,
bachelors_degree double precision,
masters_degree double precision,
pop_5_years_over double precision,
speak_only_english_at_home double precision,
speak_spanish_at_home double precision,
pop_determined_poverty_status double precision,
poverty double precision,
median_income double precision,
gini_index double precision,
income_per_capita double precision,
housing_units double precision,
vacant_housing_units double precision,
vacant_housing_units_for_rent double precision,
vacant_housing_units_for_sale double precision,
median_rent double precision,
percent_income_spent_on_rent double precision,
owner_occupied_housing_units double precision,
million_dollar_housing_units double precision,
mortgaged_housing_units double precision,
families_with_young_children double precision,
two_parent_families_with_young_children double precision,
two_parents_in_labor_force_families_with_young_children double precision,
two_parents_father_in_labor_force_families_with_young_children double precision,
two_parents_mother_in_labor_force_families_with_young_children double precision,
two_parents_not_in_labor_force_families_with_young_children double precision,
one_parent_families_with_young_children double precision,
father_one_parent_families_with_young_children double precision,
men_45_to_64 double precision,
men_45_to_49 double precision,
men_50_to_54 double precision,
men_55_to_59 double precision,
men_60_61 double precision,
men_62_64 double precision,
black_men_45_54 double precision,
black_men_55_64 double precision,
hispanic_men_45_54 double precision,
hispanic_men_55_64 double precision,
white_men_45_54 double precision,
white_men_55_64 double precision,
asian_men_45_54 double precision,
asian_men_55_64 double precision,
men_45_64_less_than_9_grade double precision,
men_45_64_grade_9_12 double precision,
men_45_64_high_school double precision,
men_45_64_some_college double precision,
men_45_64_associates_degree double precision,
men_45_64_bachelors_degree double precision,
men_45_64_graduate_degree double precision,
father_in_labor_force_one_parent_families_with_young_children double precision,
pop_15_and_over double precision,
pop_never_married double precision,
pop_now_married double precision,
pop_separated double precision,
pop_widowed double precision,
pop_divorced double precision,
commuters_16_over double precision,
commute_less_10_mins double precision,
commute_10_14_mins double precision,
commute_15_19_mins double precision,
commute_20_24_mins double precision,
commute_25_29_mins double precision,
commute_30_34_mins double precision,
commute_35_44_mins double precision,
commute_45_59_mins double precision,
commute_60_more_mins double precision,
aggregate_travel_time_to_work double precision,
income_less_10000 double precision,
income_10000_14999 double precision,
income_15000_19999 double precision,
income_20000_24999 double precision,
income_25000_29999 double precision,
income_30000_34999 double precision,
income_35000_39999 double precision,
income_40000_44999 double precision,
income_45000_49999 double precision,
income_50000_59999 double precision,
income_60000_74999 double precision,
income_75000_99999 double precision,
income_100000_124999 double precision,
income_125000_149999 double precision,
income_150000_199999 double precision,
income_200000_or_more double precision
);
INSERT INTO obs_ab038198aaab3f3cb055758638ee4de28ad70146 (cartodb_id, the_geom, the_geom_webmercator, geoid, total_pop, male_pop, female_pop, median_age, white_pop, black_pop, asian_pop, hispanic_pop, amerindian_pop, other_race_pop, two_or_more_races_pop, not_hispanic_pop, 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, households, population_3_years_over, in_school, in_grades_1_to_4, in_grades_5_to_8, in_grades_9_to_12, in_undergrad_college, pop_25_years_over, high_school_diploma, less_one_year_college, one_year_more_college, associates_degree, bachelors_degree, masters_degree, pop_5_years_over, speak_only_english_at_home, speak_spanish_at_home, pop_determined_poverty_status, poverty, median_income, gini_index, income_per_capita, housing_units, vacant_housing_units, vacant_housing_units_for_rent, vacant_housing_units_for_sale, median_rent, percent_income_spent_on_rent, owner_occupied_housing_units, million_dollar_housing_units, mortgaged_housing_units, families_with_young_children, two_parent_families_with_young_children, two_parents_in_labor_force_families_with_young_children, two_parents_father_in_labor_force_families_with_young_children, two_parents_mother_in_labor_force_families_with_young_children, two_parents_not_in_labor_force_families_with_young_children, one_parent_families_with_young_children, father_one_parent_families_with_young_children, men_45_to_64, men_45_to_49, men_50_to_54, men_55_to_59, men_60_61, men_62_64, black_men_45_54, black_men_55_64, hispanic_men_45_54, hispanic_men_55_64, white_men_45_54, white_men_55_64, asian_men_45_54, asian_men_55_64, men_45_64_less_than_9_grade, men_45_64_grade_9_12, men_45_64_high_school, men_45_64_some_college, men_45_64_associates_degree, men_45_64_bachelors_degree, men_45_64_graduate_degree, father_in_labor_force_one_parent_families_with_young_children, pop_15_and_over, pop_never_married, pop_now_married, pop_separated, pop_widowed, pop_divorced, commuters_16_over, commute_less_10_mins, commute_10_14_mins, commute_15_19_mins, commute_20_24_mins, commute_25_29_mins, commute_30_34_mins, commute_35_44_mins, commute_45_59_mins, commute_60_more_mins, aggregate_travel_time_to_work, income_less_10000, income_10000_14999, income_15000_19999, income_20000_24999, income_25000_29999, income_30000_34999, income_35000_39999, income_40000_44999, income_45000_49999, income_50000_59999, income_60000_74999, income_75000_99999, income_100000_124999, income_125000_149999, income_150000_199999, income_200000_or_more) VALUES (44715, NULL, NULL, '36047048500', 2794, 1793, 1001, 28, 1528, 80, 100, 1066, 0, 14, 6, 1728, 316, 1996, 117, 101, 16, 1453, 46, 1394, 145, 81, 174, 897, 2728, 554, 20, 13, 35, 182, 2064, 335, 19, 197, 109, 801, 299, 2715, 1696, 839, 2794, 564, 73170, 0.38919999999999999, 29516, 1009, 112, 21, 0, 1733, 29.3999999999999986, 106, 0, 74, 91, 61, 22, 25, 0, 14, 30, 17, 150, 31, 67, 6, 15, 31, 0, 0, 37, 52, 61, 0, 0, 0, 18, 6, 53, 6, 16, 23, 28, 17, 2627, 2035, 393, 65, 35, 19, 1915, 82, 24, 77, 172, 169, 461, 457, 297, 176, 67175, 10, 11, 37, 96, 29, 52, 19, 24, 11, 57, 123, 151, 68, 94, 45, 70);
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_ab038198aaab3f3cb055758638ee4de28ad70146 SET SCHEMA observatory;

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CREATE TABLE obs_column (cartodb_id bigint, the_geom geometry, the_geom_webmercator geometry, id text, type text, name text, description text, weight numeric, aggregate text, version text, extra json);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (590, NULL, NULL, 'us.census.tiger.geom', 'Geometry', NULL, NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (628, NULL, NULL, 'us.census.acs.B15001027', 'Numeric', 'Men age 45 to 64 ("middle aged")', '0', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (661, NULL, NULL, 'us.ny.nyc.opendata.document_id', 'Text', 'Document ID', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (752, NULL, NULL, 'us.census.acs.B25075001_quantile', 'Numeric', 'Quantile:Owner-occupied Housing Units', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (1, NULL, NULL, 'es.ine.gender', 'Text', 'Gender', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (2, NULL, NULL, 'es.ine.total_pop', 'Numeric', 'Total Population', 'The total number of all people living in a geographic area.', 10, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (3, NULL, NULL, 'es.ine.pop_100_more', 'Numeric', 'Population age 100 or more', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (4, NULL, NULL, 'es.ine.pop_0_4', 'Numeric', 'Population age 0 to 4', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (5, NULL, NULL, 'es.ine.pop_5_9', 'Numeric', 'Population age 5 to 9', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (6, NULL, NULL, 'es.ine.pop_10_14', 'Numeric', 'Population age 10 to 14', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (7, NULL, NULL, 'es.ine.pop_15_19', 'Numeric', 'Population age 15 to 19', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (8, NULL, NULL, 'es.ine.pop_20_24', 'Numeric', 'Population age 20 to 24', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (9, NULL, NULL, 'es.ine.pop_25_29', 'Numeric', 'Population age 25 to 29', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (10, NULL, NULL, 'es.ine.pop_30_34', 'Numeric', 'Population age 30 to 34', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (11, NULL, NULL, 'es.ine.pop_35_39', 'Numeric', 'Population age 35 to 39', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (12, NULL, NULL, 'es.ine.pop_40_44', 'Numeric', 'Population age 40 to 44', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (13, NULL, NULL, 'es.ine.pop_45_49', 'Numeric', 'Population age 45 to 49', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (14, NULL, NULL, 'es.ine.pop_50_54', 'Numeric', 'Population age 50 to 54', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (15, NULL, NULL, 'es.ine.pop_55_59', 'Numeric', 'Population age 55 to 59', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (16, NULL, NULL, 'es.ine.pop_60_64', 'Numeric', 'Population age 60 to 64', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (17, NULL, NULL, 'es.ine.pop_65_69', 'Numeric', 'Population age 65 to 69', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (18, NULL, NULL, 'es.ine.pop_70_74', 'Numeric', 'Population age 70 to 74', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (19, NULL, NULL, 'es.ine.pop_75_79', 'Numeric', 'Population age 75 to 79', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (20, NULL, NULL, 'es.ine.pop_80_84', 'Numeric', 'Population age 80 to 84', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (21, NULL, NULL, 'es.ine.pop_85_89', 'Numeric', 'Population age 85 to 89', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (22, NULL, NULL, 'es.ine.pop_90_94', 'Numeric', 'Population age 90 to 94', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (23, NULL, NULL, 'es.ine.pop_95_99', 'Numeric', 'Population age 95 to 99', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (24, NULL, NULL, 'us.census.lodes.total_jobs', 'Integer', 'Total Jobs', 'Total number of jobs', 8, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (25, NULL, NULL, 'us.census.lodes.jobs_firm_age_500_more_employees', 'Integer', 'Jobs at firms with 500 Employees', 'Number of jobs for workers at firms with Firm Size: 500 Employees', 1, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (26, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (27, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (28, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (29, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (30, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (31, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (32, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (33, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (34, NULL, NULL, 'us.census.lodes.jobs_22_utilities', 'Integer', 'Utilities Jobs', 'Number of jobs in NAICS sector 22 (Utilities) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (35, NULL, NULL, 'us.census.lodes.jobs_23_construction', 'Integer', 'Construction Jobs', 'Number of jobs in NAICS sector 23 (Construction) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (36, NULL, NULL, 'us.census.lodes.jobs_31_33_manufacturing', 'Integer', 'Manufacturing Jobs', 'Number of jobs in NAICS sector 31-33 (Manufacturing) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (37, NULL, NULL, 'us.census.lodes.jobs_42_wholesale_trade', 'Integer', 'Wholesale Trade Jobs', 'Number of jobs in NAICS sector 42 (Wholesale Trade) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (38, NULL, NULL, 'us.census.lodes.jobs_44_45_retail_trade', 'Integer', 'Retail Trade Jobs', 'Number of jobs in NAICS sector 44-45 (Retail Trade) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (39, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (40, NULL, NULL, 'us.census.lodes.jobs_51_information', 'Integer', 'Information Jobs', 'Number of jobs in NAICS sector 51 (Information) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (41, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (42, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (43, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (44, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (45, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (46, NULL, NULL, 'us.census.lodes.jobs_61_educational_services', 'Integer', 'Educational Services Jobs', 'Number of jobs in NAICS sector 61 (Educational Services) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (47, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (48, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (49, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (119, NULL, NULL, 'us.census.acs.B01001015', 'Numeric', 'Men age 45 to 49', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (50, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (51, NULL, NULL, 'us.census.lodes.jobs_92_public_administration', 'Integer', 'Public Administration jobs', 'Number of jobs in NAICS sector 92 (Public Administration) ', 4, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (52, NULL, NULL, 'us.census.lodes.jobs_white', 'Integer', 'Jobs held by workers who are white', 'Number of jobs for workers with Race: White, Alone', 2, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (53, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (54, NULL, NULL, 'us.bls.industry_code', 'Text', 'Six-digit NAICS Industry Code', '6-character Industry Code (NAICS SuperSector)', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (55, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (56, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (57, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (58, NULL, NULL, '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\u2019s 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 \u201cTribal Census Tract\u201d and \u201cTribal Block Group\u201d). 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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (59, NULL, NULL, 'us.census.tiger.census_tract', 'Geometry', 'US Census Tracts', 'Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
Some ranges of census tract numbers in the 2010 Census are used to identify distinctive types of census tracts. The code range in the 9400s is used for those census tracts with a majority of population, housing, or land area associated with an American Indian area and matches the numbering used in Census 2000. The code range in the 9800s is new for 2010 and is used to specifically identify special land-use census tracts; that is, census tracts defined to encompass a large area with little or no residential population with special characteristics, such as large parks or employment areas. The range of census tracts in the 9900s represents census tracts delineated specifically to cover large bodies of water. This is different from Census 2000 when water-only census tracts were assigned codes of all zeroes (000000); 000000 is no longer used as a census tract code for the 2010 Census.
The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Census tract suffixes may range from .01 to .98. As part of local review of existing census tracts before each census, some census tracts may have grown enough in population size to qualify as more than one census tract. When a census tract is split, the split parts usually retain the basic number but receive different suffixes. For example, if census tract 14 is split, the new tract numbers would be 14.01 and 14.02. In a few counties, local participants request major changes to, and renumbering of, the census tracts; however, this is generally discouraged. Changes to individual census tract boundaries usually do not result in census tract numbering changes.
The Census Bureau introduced the concept of tribal census tracts for the first time for Census 2000. Tribal census tracts for that census consisted of the standard county-based census tracts tabulated within American Indian areas, thus allowing for the tracts to ignore state and county boundaries for tabulation. The Census Bureau assigned the 9400 range of numbers to identify specific tribal census tracts; however, not all tribal census tracts used this numbering scheme. For the 2010 Census, tribal census tracts no longer are tied to or numbered in the same way as the county-based census tracts (see \u201cTribal Census Tract\u201d).', 9, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (60, NULL, NULL, 'us.census.tiger.congressional_district', 'Geometry', 'US Congressional Districts', 'Congressional districts are identified by a two-character numeric Federal Information Processing Series (FIPS) code numbered uniquely within the state. The District of Columbia, Puerto Rico, and the Island Areas have code 98 assigned identifying their nonvoting delegate status with respect to representation in Congress:
01 to 53: Congressional district codes
00: At large (single district for state)
98: Nonvoting delegate', 5, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (61, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (62, NULL, NULL, 'us.census.lodes.jobs_asian', 'Integer', 'Jobs held by workers who are Asian', 'Number of jobs for workers with Race: Asian Alone', 2, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (63, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (64, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (128, NULL, NULL, 'us.census.acs.B01001H012', 'Numeric', 'White Men age 45 to 54', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (65, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (66, NULL, NULL, 'us.census.acs.B01001001', '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (67, NULL, NULL, 'us.census.acs.B15001034', 'Numeric', 'Men age 45 to 64 who obtained a graduate or professional degree', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (68, NULL, NULL, 'us.census.acs.B01001002', 'Numeric', 'Male Population', 'The number of people within each geography who are male.', 8, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (69, NULL, NULL, 'us.census.acs.B01001026', 'Numeric', 'Female Population', 'The number of people within each geography who are female.', 8, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (70, NULL, NULL, 'us.census.acs.B01002001', 'Numeric', 'Median Age', 'The median age of all people in a given geographic area.', 2, 'median', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (71, NULL, NULL, 'us.census.acs.B03002003', 'Numeric', 'White Population', 'The number of people identifying as white, non-Hispanic in each geography.', 7, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (72, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (73, NULL, NULL, 'us.census.acs.B03002006', 'Numeric', 'Asian Population', 'The number of people identifying as Asian, non-Hispanic in each geography.', 7, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (74, NULL, NULL, 'us.census.acs.B03002012', 'Numeric', 'Hispanic Population', 'The number of people identifying as Hispanic or Latino in each geography.', 7, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (75, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (76, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (77, NULL, NULL, 'us.census.acs.B08006008', '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (78, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (79, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (80, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (81, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (82, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (83, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (84, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (85, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (86, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (87, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (88, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (89, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (90, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (91, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (120, NULL, NULL, 'us.census.acs.B01001016', 'Numeric', 'Men age 50 to 54', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (92, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (93, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (94, NULL, NULL, 'us.census.acs.B01001H013', 'Numeric', 'White Men age 55 to 64', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (95, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (129, NULL, NULL, 'us.census.acs.B01001D012', 'Numeric', 'Asian Men age 45 to 54', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (96, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (97, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (98, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (99, NULL, NULL, 'us.census.acs.B19083001', 'Numeric', 'Gini Index', '', 5, '', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (100, NULL, NULL, 'us.census.acs.B19301001', 'Numeric', 'Per Capita Income in the past 12 Months', '', 7, 'average', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (101, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (102, NULL, NULL, 'us.census.acs.B25075001', 'Numeric', 'Owner-occupied Housing Units', '', 5, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (103, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (104, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (105, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (106, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (107, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (108, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (109, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (110, NULL, NULL, 'us.census.acs.B23008002', 'Numeric', 'Families with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (111, NULL, NULL, 'B23008010', 'Numeric', 'One-parent families, father in labor force, with young children (under 6 years of age)', '', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (112, NULL, NULL, 'us.census.acs.B23008003', 'Numeric', 'Two-parent families with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (113, NULL, NULL, 'us.census.acs.B23008004', 'Numeric', 'Two-parent families, both parents in labor force with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (114, NULL, NULL, 'us.census.acs.B23008005', 'Numeric', 'Two-parent families, father only in labor force with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (115, NULL, NULL, 'us.census.acs.B23008006', 'Numeric', 'Two-parent families, mother only in labor force with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (116, NULL, NULL, 'us.census.acs.B23008007', 'Numeric', 'Two-parent families, neither parent in labor force with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (117, NULL, NULL, 'us.census.acs.B23008008', 'Numeric', 'One-parent families with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (118, NULL, NULL, 'us.census.acs.B23008009', 'Numeric', 'One-parent families, father, with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (121, NULL, NULL, 'us.census.acs.B01001017', 'Numeric', 'Men age 55 to 59', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (122, NULL, NULL, 'us.census.acs.B01001018', 'Numeric', 'Men age 60 to 61', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (123, NULL, NULL, 'us.census.acs.B01001019', 'Numeric', 'Men age 62 to 64', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (124, NULL, NULL, 'us.census.acs.B01001B012', 'Numeric', 'Black Men age 45 to 54', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (125, NULL, NULL, 'us.census.acs.B01001B013', 'Numeric', 'Black Men age 55 to 64', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (126, NULL, NULL, 'us.census.acs.B01001I012', 'Numeric', 'Hispanic Men age 45 to 54', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (127, NULL, NULL, 'us.census.acs.B01001I013', 'Numeric', 'Hispanic Men age 55 to 64', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (168, NULL, NULL, 'us.bls.year', 'Text', 'Year', '4-character year', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (130, NULL, NULL, 'us.census.acs.B01001D013', 'Numeric', 'Asian Men age 55 to 64', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (131, NULL, NULL, 'us.census.acs.B15001028', 'Numeric', 'Men age 45 to 64 who attained less than a 9th grade education', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (132, NULL, NULL, 'us.census.acs.B15001029', 'Numeric', 'Men age 45 to 64 who attained between 9th and 12th grade, no diploma', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (133, NULL, NULL, 'us.census.acs.B15001030', 'Numeric', 'Men age 45 to 64 who completed high school or obtained GED', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (134, NULL, NULL, 'us.census.acs.B15001031', 'Numeric', 'Men age 45 to 64 who completed some college, no degree', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (135, NULL, NULL, 'us.census.acs.B15001032', 'Numeric', 'Men age 45 to 64 who obtained an associate''s degree', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (136, NULL, NULL, 'us.census.acs.B15001033', 'Numeric', 'Men age 45 to 64 who obtained a bachelor''s degree', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (137, NULL, NULL, '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 \u201cXX\u201d (land area) or \u201cHH\u201d (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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (138, NULL, NULL, 'us.census.tiger.block', 'Geometry', 'US Census Blocks', 'Census blocks are numbered uniquely with a four-digit census block number from 0000 to 9999 within census tract, which nest within state and county. The first digit of the census block number identifies the block group. Block numbers beginning with a zero (in Block Group 0) are only associated with water-only areas.', 3, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (139, NULL, NULL, 'us.census.tiger.census_tract_geoid', 'Text', 'US Census Tract Geoids', '', 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (140, NULL, NULL, 'us.census.tiger.county_geoid', 'Text', 'US County Geoids', '', 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (141, NULL, NULL, 'us.census.tiger.congressional_district_geoid', 'Text', 'US Congressional District Geoids', '', 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (142, NULL, NULL, 'us.census.tiger.block_geoid', 'Text', 'US Census Block Geoids', NULL, 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (143, NULL, NULL, 'us.census.tiger.zcta5_geoid', 'Text', 'US Census Zip Code Tabulation Area Geoids', '', 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (144, NULL, NULL, 'us.census.tiger.puma_geoid', 'Text', 'US Census Public Use Microdata Area Geoids', '', 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (145, NULL, NULL, 'us.census.tiger.state_geoid', 'Text', 'US State Geoids', '', 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (146, NULL, NULL, 'us.census.tiger.block_group_geoid', 'Text', 'US Census Block Group Geoids', NULL, 0, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (147, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (148, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (149, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (150, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (151, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (152, NULL, NULL, 'us.census.lodes.jobs_male', 'Integer', 'Jobs held by men', 'Number of jobs for male workers', 2, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (153, NULL, NULL, 'us.census.lodes.jobs_female', 'Integer', 'Jobs held by women', 'Number of jobs for female workers', 2, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (154, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (155, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (156, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (157, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (158, NULL, NULL, 'us.census.lodes.jobs_firm_age_11_more_years', 'Integer', 'Jobs at firms aged 11 Years', 'Number of jobs for workers at firms with Firm Age: 11 Years', 1, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (159, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (160, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (161, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (162, NULL, NULL, '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', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (163, NULL, NULL, 'us.census.lodes.createdate', 'Date', 'Date on which data was created, formatted as YYYYMMDD ', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (164, NULL, NULL, 'us.bls.industry_title', 'Text', 'NAICS Industry Title', 'Title of NAICS industry', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (165, NULL, NULL, 'us.bls.own_code', 'Text', 'Ownership Code', '1-character ownership code: http://www.bls.gov/cew/doc/titles/ownership/ownership_titles.htm', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (166, NULL, NULL, 'us.bls.agglvl_code', 'Text', 'Aggregation Level Code', '2-character aggregation level code: http://www.bls.gov/cew/doc/titles/agglevel/agglevel_titles.htm', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (167, NULL, NULL, 'us.bls.size_code', 'Text', 'Size code', '1-character size code: http://www.bls.gov/cew/doc/titles/size/size_titles.htm', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (169, NULL, NULL, 'us.bls.qtr', 'Text', 'Quarter', '1-character quarter (always A for annual)', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (170, NULL, NULL, 'us.bls.disclosure_code', 'Text', 'Disclosure code', '1-character disclosure code (either '' ''(blank)), or ''N'' not disclosed)', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (171, NULL, NULL, 'us.bls.qtrly_estabs', 'Numeric', 'Establishment count', 'Count of establishments for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (172, NULL, NULL, 'us.bls.month1_emplvl', 'Numeric', 'First month employment', 'Employment level for the first month of a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (173, NULL, NULL, 'us.bls.month2_emplvl', 'Numeric', 'Second month employment', 'Employment level for the second month of a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (174, NULL, NULL, 'us.bls.month3_emplvl', 'Numeric', 'Third month employment', 'Employment level for the third month of a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (175, NULL, NULL, 'us.bls.total_qtrly_wages', 'Numeric', 'Total wages', 'Total wages for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (176, NULL, NULL, 'us.bls.taxable_qtrly_wages', 'Numeric', 'Taxable wages', 'Taxable wages for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (177, NULL, NULL, 'us.bls.qtrly_contributions', 'Numeric', 'Total contributions', 'Quarterly contributions for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (178, NULL, NULL, 'us.bls.avg_wkly_wage', 'Numeric', 'Average weekly wage', 'Average weekly wage for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (179, NULL, NULL, 'us.bls.lq_disclosure_code', 'Text', 'Location quotient disclosure code', '1-character location-quotient disclosure code (either '' ''(blank)), or ''N'' not disclosed', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (180, NULL, NULL, 'us.bls.lq_qtrly_estabs', 'Numeric', 'Location quotient', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (181, NULL, NULL, 'us.bls.lq_month1_emplvl', 'Numeric', 'Location quotient first month', 'Location quotient of the employment level for the first month of a given quarter relative to the U.S. (Rounded to hundredths place)),', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (182, NULL, NULL, 'us.bls.lq_month2_emplvl', 'Numeric', 'Location quotient second month', 'Location quotient of the employment level for the second month of a given quarter relative to the U.S. (Rounded to hundredths place)),', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (183, NULL, NULL, 'us.bls.lq_month3_emplvl', 'Numeric', 'Location quotient third month', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)),', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (184, NULL, NULL, 'us.bls.lq_total_qtrly_wages', 'Numeric', 'Location quotient quarterly', 'Location quotient of the total wages for a given quarter relative to the U.S. (Rounded to hundredths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (185, NULL, NULL, 'us.bls.lq_taxable_qtrly_wages', 'Numeric', 'Quarterly location quotient taxable wages', 'Location quotient of the total taxable wages for a given quarter relative to the U.S. (Rounded to hundredths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (186, NULL, NULL, 'us.bls.lq_qtrly_contributions', 'Numeric', 'Quarterly location quotient contributions', 'Location quotient of the total contributions for a given quarter relative to the U.S. (Rounded to hundredths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (187, NULL, NULL, 'us.bls.lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (188, NULL, NULL, 'us.bls.oty_disclosure_code', 'Text', 'Over-the-year Disclosure code', '1-character over-the-year disclosure code (either '' ''(blank)), or ''N'' not disclosed)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (189, NULL, NULL, 'us.bls.oty_qtrly_estabs_chg', 'Numeric', 'Over-the-year change in establishment count', 'Over-the-year change in the count of establishments for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (190, NULL, NULL, 'us.bls.oty_qtrly_estabs_pct_chg', 'Numeric', 'Over-the-year percent change in establishment count', 'Over-the-year percent change in the count of establishments for a given quarter (Rounded to the tenths place)', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (191, NULL, NULL, 'us.bls.oty_month1_emplvl_chg', 'Numeric', 'Over-the-year change in first month employment level', 'Over-the-year change in the first month''s employment level of a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (192, NULL, NULL, 'us.bls.oty_month1_emplvl_pct_chg', 'Numeric', 'Over-the-year percent change in first month employment level', 'Over-the-year percent change in the first month''s employment level of a given quarter (Rounded to the tenths place)),', 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (193, NULL, NULL, 'us.bls.oty_month2_emplvl_chg', 'Numeric', 'Over-the-year change in second month employment level', 'Over-the-year change in the second month''s employment level of a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (194, NULL, NULL, 'us.bls.oty_month2_emplvl_pct_chg', 'Numeric', 'Over-the-year percent change in second month employment level', 'Over-the-year percent change in the second month''s employment level of a given quarter (Rounded to the tenths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (195, NULL, NULL, 'us.bls.oty_month3_emplvl_chg', 'Numeric', 'Over-the-year change in third month employment level', 'Over-the-year change in the third month''s employment level of a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (196, NULL, NULL, 'us.bls.oty_month3_emplvl_pct_chg', 'Numeric', 'Over-the-year percent change in third month employment level', 'Over-the-year percent change in the third month''s employment level of a given quarter (Rounded to the tenths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (197, NULL, NULL, 'us.bls.oty_total_qtrly_wages_chg', 'Numeric', 'Over-the-year change in total quarterly wages', 'Over-the-year change in total quarterly wages for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (198, NULL, NULL, 'us.bls.oty_total_qtrly_wages_pct_chg', 'Numeric', 'Over-the-year percent change in total quarterly wages', 'Over-the-year percent change in total quarterly wages for a given quarter (Rounded to the tenths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (199, NULL, NULL, 'us.bls.oty_taxable_qtrly_wages_chg', 'Numeric', 'Over-the-year change in taxable quarterly wages', 'Over-the-year change in taxable quarterly wages for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (200, NULL, NULL, 'us.bls.oty_taxable_qtrly_wages_pct_chg', 'Numeric', 'Over-the-year percent change in taxable quarterly wages', 'Over-the-year percent change in taxable quarterly wages for a given quarter (Rounded to the tenths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (201, NULL, NULL, 'us.bls.oty_qtrly_contributions_chg', 'Numeric', 'Over-the-year change in quarterly contributions', 'Over-the-year change in quarterly contributions for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (202, NULL, NULL, 'us.bls.oty_qtrly_contributions_pct_chg', 'Numeric', 'Over-the-year percent change in quarterly contributions', 'Over-the-year percent change in quarterly contributions for a given quarter (Rounded to the tenths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (203, NULL, NULL, 'us.bls.oty_avg_wkly_wage_chg', 'Numeric', 'Over-the-year change in average weekly wage', 'Over-the-year change in average weekly wage for a given quarter', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (204, NULL, NULL, 'us.bls.oty_avg_wkly_wage_pct_chg', 'Numeric', 'Over-the-year percent change in average weekly wage', 'Over-the-year percent change in average weekly wage for a given quarter (Rounded to the tenths place)', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (205, NULL, NULL, 'us.bls.total_all_industries_avg_wkly_wage', 'Numeric', 'Average weekly wage for Total, all industries', 'Average weekly wage for a given quarter for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (206, NULL, NULL, 'us.bls.total_all_industries_qtrly_estabs', 'Numeric', 'Establishment count for Total, all industries', 'Count of establishments for a given quarter for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (207, NULL, NULL, 'us.bls.total_all_industries_month3_emplvl', 'Numeric', 'Third month employment for Total, all industries', 'Employment level for the third month of a given quarter for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (208, NULL, NULL, 'us.bls.total_all_industries_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Total, all industries', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (209, NULL, NULL, 'us.bls.total_all_industries_lq_qtrly_estabs', 'Numeric', 'Location quotient for Total, all industries', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (210, NULL, NULL, 'us.bls.total_all_industries_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Total, all industries', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (211, NULL, NULL, 'us.bls.natural_resources_and_mining_avg_wkly_wage', 'Numeric', 'Average weekly wage for Natural resources and mining', 'Average weekly wage for a given quarter for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (212, NULL, NULL, 'us.bls.natural_resources_and_mining_qtrly_estabs', 'Numeric', 'Establishment count for Natural resources and mining', 'Count of establishments for a given quarter for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (213, NULL, NULL, 'us.bls.natural_resources_and_mining_month3_emplvl', 'Numeric', 'Third month employment for Natural resources and mining', 'Employment level for the third month of a given quarter for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (214, NULL, NULL, 'us.bls.natural_resources_and_mining_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Natural resources and mining', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (215, NULL, NULL, 'us.bls.natural_resources_and_mining_lq_qtrly_estabs', 'Numeric', 'Location quotient for Natural resources and mining', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (216, NULL, NULL, 'us.bls.natural_resources_and_mining_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Natural resources and mining', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (217, NULL, NULL, 'us.bls.construction_avg_wkly_wage', 'Numeric', 'Average weekly wage for Construction', 'Average weekly wage for a given quarter for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (218, NULL, NULL, 'us.bls.construction_qtrly_estabs', 'Numeric', 'Establishment count for Construction', 'Count of establishments for a given quarter for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (219, NULL, NULL, 'us.bls.construction_month3_emplvl', 'Numeric', 'Third month employment for Construction', 'Employment level for the third month of a given quarter for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (220, NULL, NULL, 'us.bls.construction_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Construction', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (221, NULL, NULL, 'us.bls.construction_lq_qtrly_estabs', 'Numeric', 'Location quotient for Construction', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (222, NULL, NULL, 'us.bls.construction_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Construction', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (223, NULL, NULL, 'us.bls.manufacturing_avg_wkly_wage', 'Numeric', 'Average weekly wage for Manufacturing', 'Average weekly wage for a given quarter for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (224, NULL, NULL, 'us.bls.manufacturing_qtrly_estabs', 'Numeric', 'Establishment count for Manufacturing', 'Count of establishments for a given quarter for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (225, NULL, NULL, 'us.bls.manufacturing_month3_emplvl', 'Numeric', 'Third month employment for Manufacturing', 'Employment level for the third month of a given quarter for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (226, NULL, NULL, 'us.bls.manufacturing_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Manufacturing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (227, NULL, NULL, 'us.bls.manufacturing_lq_qtrly_estabs', 'Numeric', 'Location quotient for Manufacturing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (228, NULL, NULL, 'us.bls.manufacturing_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Manufacturing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (229, NULL, NULL, 'us.bls.trade_transportation_and_utilities_avg_wkly_wage', 'Numeric', 'Average weekly wage for Trade, transportation, and utilities', 'Average weekly wage for a given quarter for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (230, NULL, NULL, 'us.bls.trade_transportation_and_utilities_qtrly_estabs', 'Numeric', 'Establishment count for Trade, transportation, and utilities', 'Count of establishments for a given quarter for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (259, NULL, NULL, 'us.bls.leisure_and_hospitality_avg_wkly_wage', 'Numeric', 'Average weekly wage for Leisure and hospitality', 'Average weekly wage for a given quarter for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (231, NULL, NULL, 'us.bls.trade_transportation_and_utilities_month3_emplvl', 'Numeric', 'Third month employment for Trade, transportation, and utilities', 'Employment level for the third month of a given quarter for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (232, NULL, NULL, 'us.bls.trade_transportation_and_utilities_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Trade, transportation, and utilities', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (233, NULL, NULL, 'us.bls.trade_transportation_and_utilities_lq_qtrly_estabs', 'Numeric', 'Location quotient for Trade, transportation, and utilities', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (234, NULL, NULL, 'us.bls.trade_transportation_and_utilities_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Trade, transportation, and utilities', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (235, NULL, NULL, 'us.bls.information_avg_wkly_wage', 'Numeric', 'Average weekly wage for Information', 'Average weekly wage for a given quarter for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (236, NULL, NULL, 'us.bls.information_qtrly_estabs', 'Numeric', 'Establishment count for Information', 'Count of establishments for a given quarter for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (237, NULL, NULL, 'us.bls.information_month3_emplvl', 'Numeric', 'Third month employment for Information', 'Employment level for the third month of a given quarter for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (238, NULL, NULL, 'us.bls.information_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Information', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (239, NULL, NULL, 'us.bls.information_lq_qtrly_estabs', 'Numeric', 'Location quotient for Information', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (240, NULL, NULL, 'us.bls.information_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Information', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (241, NULL, NULL, 'us.bls.financial_activities_avg_wkly_wage', 'Numeric', 'Average weekly wage for Financial activities', 'Average weekly wage for a given quarter for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (242, NULL, NULL, 'us.bls.financial_activities_qtrly_estabs', 'Numeric', 'Establishment count for Financial activities', 'Count of establishments for a given quarter for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (243, NULL, NULL, 'us.bls.financial_activities_month3_emplvl', 'Numeric', 'Third month employment for Financial activities', 'Employment level for the third month of a given quarter for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (244, NULL, NULL, 'us.bls.financial_activities_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Financial activities', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (245, NULL, NULL, 'us.bls.financial_activities_lq_qtrly_estabs', 'Numeric', 'Location quotient for Financial activities', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (246, NULL, NULL, 'us.bls.financial_activities_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Financial activities', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (247, NULL, NULL, 'us.bls.professional_and_business_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for Professional and business services', 'Average weekly wage for a given quarter for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (248, NULL, NULL, 'us.bls.professional_and_business_services_qtrly_estabs', 'Numeric', 'Establishment count for Professional and business services', 'Count of establishments for a given quarter for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (249, NULL, NULL, 'us.bls.professional_and_business_services_month3_emplvl', 'Numeric', 'Third month employment for Professional and business services', 'Employment level for the third month of a given quarter for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (250, NULL, NULL, 'us.bls.professional_and_business_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Professional and business services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (251, NULL, NULL, 'us.bls.professional_and_business_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for Professional and business services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (252, NULL, NULL, 'us.bls.professional_and_business_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Professional and business services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (253, NULL, NULL, 'us.bls.education_and_health_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for Education and health services', 'Average weekly wage for a given quarter for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (254, NULL, NULL, 'us.bls.education_and_health_services_qtrly_estabs', 'Numeric', 'Establishment count for Education and health services', 'Count of establishments for a given quarter for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (255, NULL, NULL, 'us.bls.education_and_health_services_month3_emplvl', 'Numeric', 'Third month employment for Education and health services', 'Employment level for the third month of a given quarter for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (256, NULL, NULL, 'us.bls.education_and_health_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Education and health services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (257, NULL, NULL, 'us.bls.education_and_health_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for Education and health services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (258, NULL, NULL, 'us.bls.education_and_health_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Education and health services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (260, NULL, NULL, 'us.bls.leisure_and_hospitality_qtrly_estabs', 'Numeric', 'Establishment count for Leisure and hospitality', 'Count of establishments for a given quarter for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (261, NULL, NULL, 'us.bls.leisure_and_hospitality_month3_emplvl', 'Numeric', 'Third month employment for Leisure and hospitality', 'Employment level for the third month of a given quarter for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (262, NULL, NULL, 'us.bls.leisure_and_hospitality_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Leisure and hospitality', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (263, NULL, NULL, 'us.bls.leisure_and_hospitality_lq_qtrly_estabs', 'Numeric', 'Location quotient for Leisure and hospitality', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (264, NULL, NULL, 'us.bls.leisure_and_hospitality_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Leisure and hospitality', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (265, NULL, NULL, 'us.bls.other_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for Other services', 'Average weekly wage for a given quarter for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (266, NULL, NULL, 'us.bls.other_services_qtrly_estabs', 'Numeric', 'Establishment count for Other services', 'Count of establishments for a given quarter for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (267, NULL, NULL, 'us.bls.other_services_month3_emplvl', 'Numeric', 'Third month employment for Other services', 'Employment level for the third month of a given quarter for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (268, NULL, NULL, 'us.bls.other_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Other services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (269, NULL, NULL, 'us.bls.other_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for Other services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (270, NULL, NULL, 'us.bls.other_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Other services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (271, NULL, NULL, 'us.bls.public_administration_avg_wkly_wage', 'Numeric', 'Average weekly wage for Public administration', 'Average weekly wage for a given quarter for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (272, NULL, NULL, 'us.bls.public_administration_qtrly_estabs', 'Numeric', 'Establishment count for Public administration', 'Count of establishments for a given quarter for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (273, NULL, NULL, 'us.bls.public_administration_month3_emplvl', 'Numeric', 'Third month employment for Public administration', 'Employment level for the third month of a given quarter for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (274, NULL, NULL, 'us.bls.public_administration_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Public administration', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (275, NULL, NULL, 'us.bls.public_administration_lq_qtrly_estabs', 'Numeric', 'Location quotient for Public administration', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (276, NULL, NULL, 'us.bls.public_administration_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Public administration', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (277, NULL, NULL, 'us.bls.unclassified_avg_wkly_wage', 'Numeric', 'Average weekly wage for Unclassified', 'Average weekly wage for a given quarter for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (278, NULL, NULL, 'us.bls.unclassified_qtrly_estabs', 'Numeric', 'Establishment count for Unclassified', 'Count of establishments for a given quarter for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (279, NULL, NULL, 'us.bls.unclassified_month3_emplvl', 'Numeric', 'Third month employment for Unclassified', 'Employment level for the third month of a given quarter for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (280, NULL, NULL, 'us.bls.unclassified_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for Unclassified', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (281, NULL, NULL, 'us.bls.unclassified_lq_qtrly_estabs', 'Numeric', 'Location quotient for Unclassified', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (282, NULL, NULL, 'us.bls.unclassified_lq_month3_emplvl', 'Numeric', 'Location quotient third month for Unclassified', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (283, NULL, NULL, 'us.bls.naics_11_agriculture_forestry_fishing_and_hunting_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 11 Agriculture, forestry, fishing and hunting', 'Average weekly wage for a given quarter for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (284, NULL, NULL, 'us.bls.naics_11_agriculture_forestry_fishing_and_hunting_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 11 Agriculture, forestry, fishing and hunting', 'Count of establishments for a given quarter for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (285, NULL, NULL, 'us.bls.naics_11_agriculture_forestry_fishing_and_hunting_month3_emplvl', 'Numeric', 'Third month employment for NAICS 11 Agriculture, forestry, fishing and hunting', 'Employment level for the third month of a given quarter for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (286, NULL, NULL, 'us.bls.naics_11_agriculture_forestry_fishing_and_hunting_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 11 Agriculture, forestry, fishing and hunting', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (287, NULL, NULL, 'us.bls.naics_11_agriculture_forestry_fishing_and_hunting_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 11 Agriculture, forestry, fishing and hunting', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (315, NULL, NULL, 'us.bls.naics_51_information_month3_emplvl', 'Numeric', 'Third month employment for NAICS 51 Information', 'Employment level for the third month of a given quarter for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (288, NULL, NULL, 'us.bls.naics_11_agriculture_forestry_fishing_and_hunting_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 11 Agriculture, forestry, fishing and hunting', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (289, NULL, NULL, 'us.bls.naics_21_mining_quarrying_and_oil_and_gas_extraction_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Average weekly wage for a given quarter for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (290, NULL, NULL, 'us.bls.naics_21_mining_quarrying_and_oil_and_gas_extraction_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Count of establishments for a given quarter for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (291, NULL, NULL, 'us.bls.naics_21_mining_quarrying_and_oil_and_gas_extraction_month3_emplvl', 'Numeric', 'Third month employment for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Employment level for the third month of a given quarter for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (292, NULL, NULL, 'us.bls.naics_21_mining_quarrying_and_oil_and_gas_extraction_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (293, NULL, NULL, 'us.bls.naics_21_mining_quarrying_and_oil_and_gas_extraction_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (294, NULL, NULL, 'us.bls.naics_21_mining_quarrying_and_oil_and_gas_extraction_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (295, NULL, NULL, 'us.bls.naics_22_utilities_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 22 Utilities', 'Average weekly wage for a given quarter for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (296, NULL, NULL, 'us.bls.naics_22_utilities_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 22 Utilities', 'Count of establishments for a given quarter for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (297, NULL, NULL, 'us.bls.naics_22_utilities_month3_emplvl', 'Numeric', 'Third month employment for NAICS 22 Utilities', 'Employment level for the third month of a given quarter for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (298, NULL, NULL, 'us.bls.naics_22_utilities_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 22 Utilities', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (299, NULL, NULL, 'us.bls.naics_22_utilities_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 22 Utilities', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (300, NULL, NULL, 'us.bls.naics_22_utilities_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 22 Utilities', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (301, NULL, NULL, 'us.bls.naics_23_construction_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 23 Construction', 'Average weekly wage for a given quarter for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (302, NULL, NULL, 'us.bls.naics_23_construction_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 23 Construction', 'Count of establishments for a given quarter for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (303, NULL, NULL, 'us.bls.naics_23_construction_month3_emplvl', 'Numeric', 'Third month employment for NAICS 23 Construction', 'Employment level for the third month of a given quarter for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (304, NULL, NULL, 'us.bls.naics_23_construction_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 23 Construction', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (305, NULL, NULL, 'us.bls.naics_23_construction_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 23 Construction', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (306, NULL, NULL, 'us.bls.naics_23_construction_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 23 Construction', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (307, NULL, NULL, 'us.bls.naics_42_wholesale_trade_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 42 Wholesale trade', 'Average weekly wage for a given quarter for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (308, NULL, NULL, 'us.bls.naics_42_wholesale_trade_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 42 Wholesale trade', 'Count of establishments for a given quarter for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (309, NULL, NULL, 'us.bls.naics_42_wholesale_trade_month3_emplvl', 'Numeric', 'Third month employment for NAICS 42 Wholesale trade', 'Employment level for the third month of a given quarter for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (310, NULL, NULL, 'us.bls.naics_42_wholesale_trade_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 42 Wholesale trade', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (311, NULL, NULL, 'us.bls.naics_42_wholesale_trade_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 42 Wholesale trade', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (312, NULL, NULL, 'us.bls.naics_42_wholesale_trade_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 42 Wholesale trade', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (313, NULL, NULL, 'us.bls.naics_51_information_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 51 Information', 'Average weekly wage for a given quarter for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (314, NULL, NULL, 'us.bls.naics_51_information_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 51 Information', 'Count of establishments for a given quarter for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (316, NULL, NULL, 'us.bls.naics_51_information_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 51 Information', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (317, NULL, NULL, 'us.bls.naics_51_information_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 51 Information', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (538, NULL, NULL, 'us.bls.month3_emplvl_naics51', 'Numeric', 'Third month employment for NAICS 51 Information', 'Employment level for the third month of a given quarter for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (318, NULL, NULL, 'us.bls.naics_51_information_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 51 Information', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (319, NULL, NULL, 'us.bls.naics_52_finance_and_insurance_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 52 Finance and insurance', 'Average weekly wage for a given quarter for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (320, NULL, NULL, 'us.bls.naics_52_finance_and_insurance_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 52 Finance and insurance', 'Count of establishments for a given quarter for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (321, NULL, NULL, 'us.bls.naics_52_finance_and_insurance_month3_emplvl', 'Numeric', 'Third month employment for NAICS 52 Finance and insurance', 'Employment level for the third month of a given quarter for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (322, NULL, NULL, 'us.bls.naics_52_finance_and_insurance_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 52 Finance and insurance', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (323, NULL, NULL, 'us.bls.naics_52_finance_and_insurance_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 52 Finance and insurance', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (324, NULL, NULL, 'us.bls.naics_52_finance_and_insurance_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 52 Finance and insurance', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (325, NULL, NULL, 'us.bls.naics_53_real_estate_and_rental_and_leasing_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 53 Real estate and rental and leasing', 'Average weekly wage for a given quarter for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (326, NULL, NULL, 'us.bls.naics_53_real_estate_and_rental_and_leasing_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 53 Real estate and rental and leasing', 'Count of establishments for a given quarter for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (327, NULL, NULL, 'us.bls.naics_53_real_estate_and_rental_and_leasing_month3_emplvl', 'Numeric', 'Third month employment for NAICS 53 Real estate and rental and leasing', 'Employment level for the third month of a given quarter for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (328, NULL, NULL, 'us.bls.naics_53_real_estate_and_rental_and_leasing_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 53 Real estate and rental and leasing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (329, NULL, NULL, 'us.bls.naics_53_real_estate_and_rental_and_leasing_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 53 Real estate and rental and leasing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (330, NULL, NULL, 'us.bls.naics_53_real_estate_and_rental_and_leasing_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 53 Real estate and rental and leasing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (331, NULL, NULL, 'us.bls.naics_54_professional_and_technical_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 54 Professional and technical services', 'Average weekly wage for a given quarter for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (332, NULL, NULL, 'us.bls.naics_54_professional_and_technical_services_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 54 Professional and technical services', 'Count of establishments for a given quarter for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (333, NULL, NULL, 'us.bls.naics_54_professional_and_technical_services_month3_emplvl', 'Numeric', 'Third month employment for NAICS 54 Professional and technical services', 'Employment level for the third month of a given quarter for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (334, NULL, NULL, 'us.bls.naics_54_professional_and_technical_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 54 Professional and technical services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (335, NULL, NULL, 'us.bls.naics_54_professional_and_technical_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 54 Professional and technical services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (336, NULL, NULL, 'us.bls.naics_54_professional_and_technical_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 54 Professional and technical services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (337, NULL, NULL, 'us.bls.naics_55_management_of_companies_and_enterprises_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 55 Management of companies and enterprises', 'Average weekly wage for a given quarter for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (338, NULL, NULL, 'us.bls.naics_55_management_of_companies_and_enterprises_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 55 Management of companies and enterprises', 'Count of establishments for a given quarter for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (339, NULL, NULL, 'us.bls.naics_55_management_of_companies_and_enterprises_month3_emplvl', 'Numeric', 'Third month employment for NAICS 55 Management of companies and enterprises', 'Employment level for the third month of a given quarter for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (415, NULL, NULL, 'us.bls.avg_wkly_wage_naics1011', 'Numeric', 'Average weekly wage for Natural resources and mining', 'Average weekly wage for a given quarter for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (340, NULL, NULL, 'us.bls.naics_55_management_of_companies_and_enterprises_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 55 Management of companies and enterprises', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (389, NULL, NULL, 'us.bls.naics_99_unclassified_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 99 Unclassified', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (341, NULL, NULL, 'us.bls.naics_55_management_of_companies_and_enterprises_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 55 Management of companies and enterprises', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (342, NULL, NULL, 'us.bls.naics_55_management_of_companies_and_enterprises_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 55 Management of companies and enterprises', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (343, NULL, NULL, 'us.bls.naics_56_administrative_and_waste_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 56 Administrative and waste services', 'Average weekly wage for a given quarter for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (344, NULL, NULL, 'us.bls.naics_56_administrative_and_waste_services_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 56 Administrative and waste services', 'Count of establishments for a given quarter for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (345, NULL, NULL, 'us.bls.naics_56_administrative_and_waste_services_month3_emplvl', 'Numeric', 'Third month employment for NAICS 56 Administrative and waste services', 'Employment level for the third month of a given quarter for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (346, NULL, NULL, 'us.bls.naics_56_administrative_and_waste_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 56 Administrative and waste services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (347, NULL, NULL, 'us.bls.naics_56_administrative_and_waste_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 56 Administrative and waste services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (348, NULL, NULL, 'us.bls.naics_56_administrative_and_waste_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 56 Administrative and waste services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (349, NULL, NULL, 'us.bls.naics_61_educational_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 61 Educational services', 'Average weekly wage for a given quarter for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (350, NULL, NULL, 'us.bls.naics_61_educational_services_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 61 Educational services', 'Count of establishments for a given quarter for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (351, NULL, NULL, 'us.bls.naics_61_educational_services_month3_emplvl', 'Numeric', 'Third month employment for NAICS 61 Educational services', 'Employment level for the third month of a given quarter for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (352, NULL, NULL, 'us.bls.naics_61_educational_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 61 Educational services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (353, NULL, NULL, 'us.bls.naics_61_educational_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 61 Educational services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (354, NULL, NULL, 'us.bls.naics_61_educational_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 61 Educational services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (355, NULL, NULL, 'us.bls.naics_62_health_care_and_social_assistance_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 62 Health care and social assistance', 'Average weekly wage for a given quarter for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (356, NULL, NULL, 'us.bls.naics_62_health_care_and_social_assistance_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 62 Health care and social assistance', 'Count of establishments for a given quarter for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (357, NULL, NULL, 'us.bls.naics_62_health_care_and_social_assistance_month3_emplvl', 'Numeric', 'Third month employment for NAICS 62 Health care and social assistance', 'Employment level for the third month of a given quarter for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (358, NULL, NULL, 'us.bls.naics_62_health_care_and_social_assistance_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 62 Health care and social assistance', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (359, NULL, NULL, 'us.bls.naics_62_health_care_and_social_assistance_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 62 Health care and social assistance', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (360, NULL, NULL, 'us.bls.naics_62_health_care_and_social_assistance_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 62 Health care and social assistance', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (361, NULL, NULL, 'us.bls.naics_71_arts_entertainment_and_recreation_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 71 Arts, entertainment, and recreation', 'Average weekly wage for a given quarter for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (362, NULL, NULL, 'us.bls.naics_71_arts_entertainment_and_recreation_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 71 Arts, entertainment, and recreation', 'Count of establishments for a given quarter for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (363, NULL, NULL, 'us.bls.naics_71_arts_entertainment_and_recreation_month3_emplvl', 'Numeric', 'Third month employment for NAICS 71 Arts, entertainment, and recreation', 'Employment level for the third month of a given quarter for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (701, NULL, NULL, 'us.census.acs.B01001002_quantile', 'Numeric', 'Quantile:Male Population', 'The number of people within each geography who are male.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (364, NULL, NULL, 'us.bls.naics_71_arts_entertainment_and_recreation_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 71 Arts, entertainment, and recreation', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (365, NULL, NULL, 'us.bls.naics_71_arts_entertainment_and_recreation_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 71 Arts, entertainment, and recreation', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (366, NULL, NULL, 'us.bls.naics_71_arts_entertainment_and_recreation_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 71 Arts, entertainment, and recreation', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (367, NULL, NULL, 'us.bls.naics_72_accommodation_and_food_services_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 72 Accommodation and food services', 'Average weekly wage for a given quarter for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (368, NULL, NULL, 'us.bls.naics_72_accommodation_and_food_services_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 72 Accommodation and food services', 'Count of establishments for a given quarter for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (369, NULL, NULL, 'us.bls.naics_72_accommodation_and_food_services_month3_emplvl', 'Numeric', 'Third month employment for NAICS 72 Accommodation and food services', 'Employment level for the third month of a given quarter for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (370, NULL, NULL, 'us.bls.naics_72_accommodation_and_food_services_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 72 Accommodation and food services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (371, NULL, NULL, 'us.bls.naics_72_accommodation_and_food_services_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 72 Accommodation and food services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (372, NULL, NULL, 'us.bls.naics_72_accommodation_and_food_services_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 72 Accommodation and food services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (373, NULL, NULL, 'us.bls.naics_81_other_services_except_public_administration_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 81 Other services, except public administration', 'Average weekly wage for a given quarter for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (374, NULL, NULL, 'us.bls.naics_81_other_services_except_public_administration_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 81 Other services, except public administration', 'Count of establishments for a given quarter for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (375, NULL, NULL, 'us.bls.naics_81_other_services_except_public_administration_month3_emplvl', 'Numeric', 'Third month employment for NAICS 81 Other services, except public administration', 'Employment level for the third month of a given quarter for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (376, NULL, NULL, 'us.bls.naics_81_other_services_except_public_administration_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 81 Other services, except public administration', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (377, NULL, NULL, 'us.bls.naics_81_other_services_except_public_administration_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 81 Other services, except public administration', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (378, NULL, NULL, 'us.bls.naics_81_other_services_except_public_administration_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 81 Other services, except public administration', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (379, NULL, NULL, 'us.bls.naics_92_public_administration_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 92 Public administration', 'Average weekly wage for a given quarter for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (380, NULL, NULL, 'us.bls.naics_92_public_administration_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 92 Public administration', 'Count of establishments for a given quarter for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (381, NULL, NULL, 'us.bls.naics_92_public_administration_month3_emplvl', 'Numeric', 'Third month employment for NAICS 92 Public administration', 'Employment level for the third month of a given quarter for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (382, NULL, NULL, 'us.bls.naics_92_public_administration_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 92 Public administration', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (383, NULL, NULL, 'us.bls.naics_92_public_administration_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 92 Public administration', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (384, NULL, NULL, 'us.bls.naics_92_public_administration_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 92 Public administration', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (385, NULL, NULL, 'us.bls.naics_99_unclassified_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 99 Unclassified', 'Average weekly wage for a given quarter for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (386, NULL, NULL, 'us.bls.naics_99_unclassified_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 99 Unclassified', 'Count of establishments for a given quarter for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (387, NULL, NULL, 'us.bls.naics_99_unclassified_month3_emplvl', 'Numeric', 'Third month employment for NAICS 99 Unclassified', 'Employment level for the third month of a given quarter for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (416, NULL, NULL, 'us.bls.qtrly_estabs_naics1011', 'Numeric', 'Establishment count for Natural resources and mining', 'Count of establishments for a given quarter for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (388, NULL, NULL, 'us.bls.naics_99_unclassified_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 99 Unclassified', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (390, NULL, NULL, 'us.bls.naics_99_unclassified_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 99 Unclassified', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (391, NULL, NULL, 'us.bls.naics_31_33_manufacturing_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 31-33 Manufacturing', 'Average weekly wage for a given quarter for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (392, NULL, NULL, 'us.bls.naics_31_33_manufacturing_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 31-33 Manufacturing', 'Count of establishments for a given quarter for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (393, NULL, NULL, 'us.bls.naics_31_33_manufacturing_month3_emplvl', 'Numeric', 'Third month employment for NAICS 31-33 Manufacturing', 'Employment level for the third month of a given quarter for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (394, NULL, NULL, 'us.bls.naics_31_33_manufacturing_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 31-33 Manufacturing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (395, NULL, NULL, 'us.bls.naics_31_33_manufacturing_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 31-33 Manufacturing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (396, NULL, NULL, 'us.bls.naics_31_33_manufacturing_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 31-33 Manufacturing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (397, NULL, NULL, 'us.bls.naics_44_45_retail_trade_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 44-45 Retail trade', 'Average weekly wage for a given quarter for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (398, NULL, NULL, 'us.bls.naics_44_45_retail_trade_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 44-45 Retail trade', 'Count of establishments for a given quarter for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (399, NULL, NULL, 'us.bls.naics_44_45_retail_trade_month3_emplvl', 'Numeric', 'Third month employment for NAICS 44-45 Retail trade', 'Employment level for the third month of a given quarter for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (400, NULL, NULL, 'us.bls.naics_44_45_retail_trade_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 44-45 Retail trade', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (401, NULL, NULL, 'us.bls.naics_44_45_retail_trade_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 44-45 Retail trade', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (402, NULL, NULL, 'us.bls.naics_44_45_retail_trade_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 44-45 Retail trade', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (403, NULL, NULL, 'us.bls.naics_48_49_transportation_and_warehousing_avg_wkly_wage', 'Numeric', 'Average weekly wage for NAICS 48-49 Transportation and warehousing', 'Average weekly wage for a given quarter for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (404, NULL, NULL, 'us.bls.naics_48_49_transportation_and_warehousing_qtrly_estabs', 'Numeric', 'Establishment count for NAICS 48-49 Transportation and warehousing', 'Count of establishments for a given quarter for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (405, NULL, NULL, 'us.bls.naics_48_49_transportation_and_warehousing_month3_emplvl', 'Numeric', 'Third month employment for NAICS 48-49 Transportation and warehousing', 'Employment level for the third month of a given quarter for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (406, NULL, NULL, 'us.bls.naics_48_49_transportation_and_warehousing_lq_avg_wkly_wage', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 48-49 Transportation and warehousing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (407, NULL, NULL, 'us.bls.naics_48_49_transportation_and_warehousing_lq_qtrly_estabs', 'Numeric', 'Location quotient for NAICS 48-49 Transportation and warehousing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (408, NULL, NULL, 'us.bls.naics_48_49_transportation_and_warehousing_lq_month3_emplvl', 'Numeric', 'Location quotient third month for NAICS 48-49 Transportation and warehousing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (409, NULL, NULL, 'us.bls.avg_wkly_wage_naics10', 'Numeric', 'Average weekly wage for Total, all industries', 'Average weekly wage for a given quarter for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (410, NULL, NULL, 'us.bls.qtrly_estabs_naics10', 'Numeric', 'Establishment count for Total, all industries', 'Count of establishments for a given quarter for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (411, NULL, NULL, 'us.bls.month3_emplvl_naics10', 'Numeric', 'Third month employment for Total, all industries', 'Employment level for the third month of a given quarter for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (412, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics10', 'Numeric', 'Quarterly location quotient weekly wage for Total, all industries', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (413, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics10', 'Numeric', 'Location quotient for Total, all industries', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (414, NULL, NULL, 'us.bls.lq_month3_emplvl_naics10', 'Numeric', 'Location quotient third month for Total, all industries', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Total, all industries', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (417, NULL, NULL, 'us.bls.month3_emplvl_naics1011', 'Numeric', 'Third month employment for Natural resources and mining', 'Employment level for the third month of a given quarter for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (418, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1011', 'Numeric', 'Quarterly location quotient weekly wage for Natural resources and mining', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (419, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1011', 'Numeric', 'Location quotient for Natural resources and mining', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (420, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1011', 'Numeric', 'Location quotient third month for Natural resources and mining', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Natural resources and mining', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (421, NULL, NULL, 'us.bls.avg_wkly_wage_naics1012', 'Numeric', 'Average weekly wage for Construction', 'Average weekly wage for a given quarter for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (422, NULL, NULL, 'us.bls.qtrly_estabs_naics1012', 'Numeric', 'Establishment count for Construction', 'Count of establishments for a given quarter for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (423, NULL, NULL, 'us.bls.month3_emplvl_naics1012', 'Numeric', 'Third month employment for Construction', 'Employment level for the third month of a given quarter for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (424, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1012', 'Numeric', 'Quarterly location quotient weekly wage for Construction', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (425, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1012', 'Numeric', 'Location quotient for Construction', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (426, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1012', 'Numeric', 'Location quotient third month for Construction', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (427, NULL, NULL, 'us.bls.avg_wkly_wage_naics1013', 'Numeric', 'Average weekly wage for Manufacturing', 'Average weekly wage for a given quarter for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (428, NULL, NULL, 'us.bls.qtrly_estabs_naics1013', 'Numeric', 'Establishment count for Manufacturing', 'Count of establishments for a given quarter for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (429, NULL, NULL, 'us.bls.month3_emplvl_naics1013', 'Numeric', 'Third month employment for Manufacturing', 'Employment level for the third month of a given quarter for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (430, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1013', 'Numeric', 'Quarterly location quotient weekly wage for Manufacturing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (431, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1013', 'Numeric', 'Location quotient for Manufacturing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (432, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1013', 'Numeric', 'Location quotient third month for Manufacturing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (433, NULL, NULL, 'us.bls.avg_wkly_wage_naics1021', 'Numeric', 'Average weekly wage for Trade, transportation, and utilities', 'Average weekly wage for a given quarter for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (434, NULL, NULL, 'us.bls.qtrly_estabs_naics1021', 'Numeric', 'Establishment count for Trade, transportation, and utilities', 'Count of establishments for a given quarter for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (435, NULL, NULL, 'us.bls.month3_emplvl_naics1021', 'Numeric', 'Third month employment for Trade, transportation, and utilities', 'Employment level for the third month of a given quarter for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (436, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1021', 'Numeric', 'Quarterly location quotient weekly wage for Trade, transportation, and utilities', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (437, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1021', 'Numeric', 'Location quotient for Trade, transportation, and utilities', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (438, NULL, NULL, 'us.bls.qtrly_estabs_naics1027', 'Numeric', 'Establishment count for Other services', 'Count of establishments for a given quarter for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (439, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1021', 'Numeric', 'Location quotient third month for Trade, transportation, and utilities', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Trade, transportation, and utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (440, NULL, NULL, 'us.bls.avg_wkly_wage_naics1022', 'Numeric', 'Average weekly wage for Information', 'Average weekly wage for a given quarter for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (441, NULL, NULL, 'us.bls.qtrly_estabs_naics1022', 'Numeric', 'Establishment count for Information', 'Count of establishments for a given quarter for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (442, NULL, NULL, 'us.bls.month3_emplvl_naics1022', 'Numeric', 'Third month employment for Information', 'Employment level for the third month of a given quarter for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (443, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1022', 'Numeric', 'Quarterly location quotient weekly wage for Information', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (444, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1022', 'Numeric', 'Location quotient for Information', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (445, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1022', 'Numeric', 'Location quotient third month for Information', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (446, NULL, NULL, 'us.bls.avg_wkly_wage_naics1023', 'Numeric', 'Average weekly wage for Financial activities', 'Average weekly wage for a given quarter for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (447, NULL, NULL, 'us.bls.qtrly_estabs_naics1023', 'Numeric', 'Establishment count for Financial activities', 'Count of establishments for a given quarter for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (448, NULL, NULL, 'us.bls.month3_emplvl_naics1023', 'Numeric', 'Third month employment for Financial activities', 'Employment level for the third month of a given quarter for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (449, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1023', 'Numeric', 'Quarterly location quotient weekly wage for Financial activities', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (450, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1023', 'Numeric', 'Location quotient for Financial activities', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (451, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1023', 'Numeric', 'Location quotient third month for Financial activities', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Financial activities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (452, NULL, NULL, 'us.bls.avg_wkly_wage_naics1024', 'Numeric', 'Average weekly wage for Professional and business services', 'Average weekly wage for a given quarter for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (453, NULL, NULL, 'us.bls.qtrly_estabs_naics1024', 'Numeric', 'Establishment count for Professional and business services', 'Count of establishments for a given quarter for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (454, NULL, NULL, 'us.bls.month3_emplvl_naics1024', 'Numeric', 'Third month employment for Professional and business services', 'Employment level for the third month of a given quarter for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (455, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1024', 'Numeric', 'Quarterly location quotient weekly wage for Professional and business services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (456, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1024', 'Numeric', 'Location quotient for Professional and business services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (457, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1024', 'Numeric', 'Location quotient third month for Professional and business services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Professional and business services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (458, NULL, NULL, 'us.bls.avg_wkly_wage_naics1025', 'Numeric', 'Average weekly wage for Education and health services', 'Average weekly wage for a given quarter for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (459, NULL, NULL, 'us.bls.qtrly_estabs_naics1025', 'Numeric', 'Establishment count for Education and health services', 'Count of establishments for a given quarter for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (460, NULL, NULL, 'us.bls.month3_emplvl_naics1025', 'Numeric', 'Third month employment for Education and health services', 'Employment level for the third month of a given quarter for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (461, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1025', 'Numeric', 'Quarterly location quotient weekly wage for Education and health services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (462, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1025', 'Numeric', 'Location quotient for Education and health services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (463, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1025', 'Numeric', 'Location quotient third month for Education and health services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Education and health services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (464, NULL, NULL, 'us.bls.avg_wkly_wage_naics1026', 'Numeric', 'Average weekly wage for Leisure and hospitality', 'Average weekly wage for a given quarter for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (465, NULL, NULL, 'us.bls.qtrly_estabs_naics1026', 'Numeric', 'Establishment count for Leisure and hospitality', 'Count of establishments for a given quarter for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (466, NULL, NULL, 'us.bls.month3_emplvl_naics1026', 'Numeric', 'Third month employment for Leisure and hospitality', 'Employment level for the third month of a given quarter for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (467, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1026', 'Numeric', 'Quarterly location quotient weekly wage for Leisure and hospitality', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (468, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1026', 'Numeric', 'Location quotient for Leisure and hospitality', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (469, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1026', 'Numeric', 'Location quotient third month for Leisure and hospitality', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Leisure and hospitality', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (470, NULL, NULL, 'us.bls.avg_wkly_wage_naics1027', 'Numeric', 'Average weekly wage for Other services', 'Average weekly wage for a given quarter for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (471, NULL, NULL, 'us.bls.month3_emplvl_naics1027', 'Numeric', 'Third month employment for Other services', 'Employment level for the third month of a given quarter for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (472, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1027', 'Numeric', 'Quarterly location quotient weekly wage for Other services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (473, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1027', 'Numeric', 'Location quotient for Other services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (474, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1027', 'Numeric', 'Location quotient third month for Other services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Other services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (475, NULL, NULL, 'us.bls.avg_wkly_wage_naics1028', 'Numeric', 'Average weekly wage for Public administration', 'Average weekly wage for a given quarter for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (476, NULL, NULL, 'us.bls.qtrly_estabs_naics1028', 'Numeric', 'Establishment count for Public administration', 'Count of establishments for a given quarter for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (477, NULL, NULL, 'us.bls.month3_emplvl_naics1028', 'Numeric', 'Third month employment for Public administration', 'Employment level for the third month of a given quarter for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (478, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1028', 'Numeric', 'Quarterly location quotient weekly wage for Public administration', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (537, NULL, NULL, 'us.bls.qtrly_estabs_naics51', 'Numeric', 'Establishment count for NAICS 51 Information', 'Count of establishments for a given quarter for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (479, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1028', 'Numeric', 'Location quotient for Public administration', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (480, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1028', 'Numeric', 'Location quotient third month for Public administration', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (481, NULL, NULL, 'us.bls.avg_wkly_wage_naics1029', 'Numeric', 'Average weekly wage for Unclassified', 'Average weekly wage for a given quarter for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (482, NULL, NULL, 'us.bls.qtrly_estabs_naics1029', 'Numeric', 'Establishment count for Unclassified', 'Count of establishments for a given quarter for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (483, NULL, NULL, 'us.bls.month3_emplvl_naics1029', 'Numeric', 'Third month employment for Unclassified', 'Employment level for the third month of a given quarter for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (484, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics1029', 'Numeric', 'Quarterly location quotient weekly wage for Unclassified', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (485, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics1029', 'Numeric', 'Location quotient for Unclassified', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (486, NULL, NULL, 'us.bls.lq_month3_emplvl_naics1029', 'Numeric', 'Location quotient third month for Unclassified', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (487, NULL, NULL, 'us.bls.avg_wkly_wage_naics11', 'Numeric', 'Average weekly wage for NAICS 11 Agriculture, forestry, fishing and hunting', 'Average weekly wage for a given quarter for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (488, NULL, NULL, 'us.bls.qtrly_estabs_naics11', 'Numeric', 'Establishment count for NAICS 11 Agriculture, forestry, fishing and hunting', 'Count of establishments for a given quarter for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (489, NULL, NULL, 'us.bls.month3_emplvl_naics11', 'Numeric', 'Third month employment for NAICS 11 Agriculture, forestry, fishing and hunting', 'Employment level for the third month of a given quarter for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (490, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics11', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 11 Agriculture, forestry, fishing and hunting', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (491, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics11', 'Numeric', 'Location quotient for NAICS 11 Agriculture, forestry, fishing and hunting', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (492, NULL, NULL, 'us.bls.lq_month3_emplvl_naics11', 'Numeric', 'Location quotient third month for NAICS 11 Agriculture, forestry, fishing and hunting', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 11 Agriculture, forestry, fishing and hunting', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (493, NULL, NULL, 'us.bls.avg_wkly_wage_naics21', 'Numeric', 'Average weekly wage for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Average weekly wage for a given quarter for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (494, NULL, NULL, 'us.bls.qtrly_estabs_naics21', 'Numeric', 'Establishment count for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Count of establishments for a given quarter for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (495, NULL, NULL, 'us.bls.month3_emplvl_naics21', 'Numeric', 'Third month employment for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Employment level for the third month of a given quarter for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (496, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics21', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (497, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics21', 'Numeric', 'Location quotient for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (498, NULL, NULL, 'us.bls.lq_month3_emplvl_naics21', 'Numeric', 'Location quotient third month for NAICS 21 Mining, quarrying, and oil and gas extraction', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 21 Mining, quarrying, and oil and gas extraction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (499, NULL, NULL, 'us.bls.avg_wkly_wage_naics22', 'Numeric', 'Average weekly wage for NAICS 22 Utilities', 'Average weekly wage for a given quarter for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (500, NULL, NULL, 'us.bls.qtrly_estabs_naics22', 'Numeric', 'Establishment count for NAICS 22 Utilities', 'Count of establishments for a given quarter for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (501, NULL, NULL, 'us.bls.month3_emplvl_naics22', 'Numeric', 'Third month employment for NAICS 22 Utilities', 'Employment level for the third month of a given quarter for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (502, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics22', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 22 Utilities', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (503, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics22', 'Numeric', 'Location quotient for NAICS 22 Utilities', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (504, NULL, NULL, 'us.bls.lq_month3_emplvl_naics22', 'Numeric', 'Location quotient third month for NAICS 22 Utilities', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 22 Utilities', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (505, NULL, NULL, 'us.bls.avg_wkly_wage_naics23', 'Numeric', 'Average weekly wage for NAICS 23 Construction', 'Average weekly wage for a given quarter for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (506, NULL, NULL, 'us.bls.qtrly_estabs_naics23', 'Numeric', 'Establishment count for NAICS 23 Construction', 'Count of establishments for a given quarter for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (507, NULL, NULL, 'us.bls.month3_emplvl_naics23', 'Numeric', 'Third month employment for NAICS 23 Construction', 'Employment level for the third month of a given quarter for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (508, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics23', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 23 Construction', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (509, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics23', 'Numeric', 'Location quotient for NAICS 23 Construction', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (510, NULL, NULL, 'us.bls.lq_month3_emplvl_naics23', 'Numeric', 'Location quotient third month for NAICS 23 Construction', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 23 Construction', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (511, NULL, NULL, 'us.bls.avg_wkly_wage_naics31_33', 'Numeric', 'Average weekly wage for NAICS 31-33 Manufacturing', 'Average weekly wage for a given quarter for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (512, NULL, NULL, 'us.bls.qtrly_estabs_naics31_33', 'Numeric', 'Establishment count for NAICS 31-33 Manufacturing', 'Count of establishments for a given quarter for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (513, NULL, NULL, 'us.bls.month3_emplvl_naics31_33', 'Numeric', 'Third month employment for NAICS 31-33 Manufacturing', 'Employment level for the third month of a given quarter for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (514, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics31_33', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 31-33 Manufacturing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (515, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics31_33', 'Numeric', 'Location quotient for NAICS 31-33 Manufacturing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (516, NULL, NULL, 'us.bls.lq_month3_emplvl_naics31_33', 'Numeric', 'Location quotient third month for NAICS 31-33 Manufacturing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 31-33 Manufacturing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (517, NULL, NULL, 'us.bls.avg_wkly_wage_naics42', 'Numeric', 'Average weekly wage for NAICS 42 Wholesale trade', 'Average weekly wage for a given quarter for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (518, NULL, NULL, 'us.bls.qtrly_estabs_naics42', 'Numeric', 'Establishment count for NAICS 42 Wholesale trade', 'Count of establishments for a given quarter for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (519, NULL, NULL, 'us.bls.month3_emplvl_naics42', 'Numeric', 'Third month employment for NAICS 42 Wholesale trade', 'Employment level for the third month of a given quarter for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (520, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics42', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 42 Wholesale trade', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (521, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics42', 'Numeric', 'Location quotient for NAICS 42 Wholesale trade', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (522, NULL, NULL, 'us.bls.lq_month3_emplvl_naics42', 'Numeric', 'Location quotient third month for NAICS 42 Wholesale trade', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 42 Wholesale trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (523, NULL, NULL, 'us.bls.avg_wkly_wage_naics44_45', 'Numeric', 'Average weekly wage for NAICS 44-45 Retail trade', 'Average weekly wage for a given quarter for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (524, NULL, NULL, 'us.bls.qtrly_estabs_naics44_45', 'Numeric', 'Establishment count for NAICS 44-45 Retail trade', 'Count of establishments for a given quarter for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (525, NULL, NULL, 'us.bls.month3_emplvl_naics44_45', 'Numeric', 'Third month employment for NAICS 44-45 Retail trade', 'Employment level for the third month of a given quarter for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (526, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics44_45', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 44-45 Retail trade', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (527, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics44_45', 'Numeric', 'Location quotient for NAICS 44-45 Retail trade', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (528, NULL, NULL, 'us.bls.lq_month3_emplvl_naics44_45', 'Numeric', 'Location quotient third month for NAICS 44-45 Retail trade', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 44-45 Retail trade', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (529, NULL, NULL, 'us.bls.avg_wkly_wage_naics48_49', 'Numeric', 'Average weekly wage for NAICS 48-49 Transportation and warehousing', 'Average weekly wage for a given quarter for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (530, NULL, NULL, 'us.bls.qtrly_estabs_naics48_49', 'Numeric', 'Establishment count for NAICS 48-49 Transportation and warehousing', 'Count of establishments for a given quarter for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (531, NULL, NULL, 'us.bls.month3_emplvl_naics48_49', 'Numeric', 'Third month employment for NAICS 48-49 Transportation and warehousing', 'Employment level for the third month of a given quarter for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (532, NULL, NULL, 'us.bls.month3_emplvl_naics55', 'Numeric', 'Third month employment for NAICS 55 Management of companies and enterprises', 'Employment level for the third month of a given quarter for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (533, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics48_49', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 48-49 Transportation and warehousing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (534, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics48_49', 'Numeric', 'Location quotient for NAICS 48-49 Transportation and warehousing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (535, NULL, NULL, 'us.bls.lq_month3_emplvl_naics48_49', 'Numeric', 'Location quotient third month for NAICS 48-49 Transportation and warehousing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 48-49 Transportation and warehousing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (536, NULL, NULL, 'us.bls.avg_wkly_wage_naics51', 'Numeric', 'Average weekly wage for NAICS 51 Information', 'Average weekly wage for a given quarter for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (539, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics51', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 51 Information', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (540, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics51', 'Numeric', 'Location quotient for NAICS 51 Information', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (541, NULL, NULL, 'us.bls.lq_month3_emplvl_naics51', 'Numeric', 'Location quotient third month for NAICS 51 Information', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 51 Information', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (542, NULL, NULL, 'us.bls.avg_wkly_wage_naics52', 'Numeric', 'Average weekly wage for NAICS 52 Finance and insurance', 'Average weekly wage for a given quarter for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (543, NULL, NULL, 'us.bls.qtrly_estabs_naics52', 'Numeric', 'Establishment count for NAICS 52 Finance and insurance', 'Count of establishments for a given quarter for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (544, NULL, NULL, 'us.bls.month3_emplvl_naics52', 'Numeric', 'Third month employment for NAICS 52 Finance and insurance', 'Employment level for the third month of a given quarter for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (545, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics52', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 52 Finance and insurance', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (546, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics52', 'Numeric', 'Location quotient for NAICS 52 Finance and insurance', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (547, NULL, NULL, 'us.bls.lq_month3_emplvl_naics52', 'Numeric', 'Location quotient third month for NAICS 52 Finance and insurance', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 52 Finance and insurance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (548, NULL, NULL, 'us.bls.avg_wkly_wage_naics53', 'Numeric', 'Average weekly wage for NAICS 53 Real estate and rental and leasing', 'Average weekly wage for a given quarter for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (549, NULL, NULL, 'us.bls.qtrly_estabs_naics53', 'Numeric', 'Establishment count for NAICS 53 Real estate and rental and leasing', 'Count of establishments for a given quarter for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (550, NULL, NULL, 'us.bls.month3_emplvl_naics53', 'Numeric', 'Third month employment for NAICS 53 Real estate and rental and leasing', 'Employment level for the third month of a given quarter for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (551, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics53', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 53 Real estate and rental and leasing', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (552, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics53', 'Numeric', 'Location quotient for NAICS 53 Real estate and rental and leasing', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (553, NULL, NULL, 'us.bls.lq_month3_emplvl_naics53', 'Numeric', 'Location quotient third month for NAICS 53 Real estate and rental and leasing', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 53 Real estate and rental and leasing', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (554, NULL, NULL, 'us.bls.avg_wkly_wage_naics54', 'Numeric', 'Average weekly wage for NAICS 54 Professional and technical services', 'Average weekly wage for a given quarter for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (555, NULL, NULL, 'us.bls.qtrly_estabs_naics54', 'Numeric', 'Establishment count for NAICS 54 Professional and technical services', 'Count of establishments for a given quarter for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (556, NULL, NULL, 'us.bls.month3_emplvl_naics54', 'Numeric', 'Third month employment for NAICS 54 Professional and technical services', 'Employment level for the third month of a given quarter for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (557, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics54', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 54 Professional and technical services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (558, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics54', 'Numeric', 'Location quotient for NAICS 54 Professional and technical services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (559, NULL, NULL, 'us.bls.lq_month3_emplvl_naics54', 'Numeric', 'Location quotient third month for NAICS 54 Professional and technical services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 54 Professional and technical services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (560, NULL, NULL, 'us.bls.avg_wkly_wage_naics55', 'Numeric', 'Average weekly wage for NAICS 55 Management of companies and enterprises', 'Average weekly wage for a given quarter for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (561, NULL, NULL, 'us.bls.qtrly_estabs_naics55', 'Numeric', 'Establishment count for NAICS 55 Management of companies and enterprises', 'Count of establishments for a given quarter for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (617, NULL, NULL, 'us.census.acs.B03002002', 'Numeric', 'Population not Hispanic', 'The number of people not identifying as Hispanic or Latino in each geography.', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (562, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics55', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 55 Management of companies and enterprises', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (563, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics55', 'Numeric', 'Location quotient for NAICS 55 Management of companies and enterprises', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (564, NULL, NULL, 'us.bls.lq_month3_emplvl_naics55', 'Numeric', 'Location quotient third month for NAICS 55 Management of companies and enterprises', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 55 Management of companies and enterprises', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (565, NULL, NULL, 'us.bls.avg_wkly_wage_naics56', 'Numeric', 'Average weekly wage for NAICS 56 Administrative and waste services', 'Average weekly wage for a given quarter for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (566, NULL, NULL, 'us.bls.qtrly_estabs_naics56', 'Numeric', 'Establishment count for NAICS 56 Administrative and waste services', 'Count of establishments for a given quarter for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (567, NULL, NULL, 'us.bls.month3_emplvl_naics56', 'Numeric', 'Third month employment for NAICS 56 Administrative and waste services', 'Employment level for the third month of a given quarter for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (568, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics56', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 56 Administrative and waste services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (569, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics56', 'Numeric', 'Location quotient for NAICS 56 Administrative and waste services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (570, NULL, NULL, 'us.bls.lq_month3_emplvl_naics56', 'Numeric', 'Location quotient third month for NAICS 56 Administrative and waste services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 56 Administrative and waste services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (571, NULL, NULL, 'us.bls.avg_wkly_wage_naics61', 'Numeric', 'Average weekly wage for NAICS 61 Educational services', 'Average weekly wage for a given quarter for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (572, NULL, NULL, 'us.bls.qtrly_estabs_naics61', 'Numeric', 'Establishment count for NAICS 61 Educational services', 'Count of establishments for a given quarter for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (573, NULL, NULL, 'us.bls.month3_emplvl_naics61', 'Numeric', 'Third month employment for NAICS 61 Educational services', 'Employment level for the third month of a given quarter for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (574, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics61', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 61 Educational services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (575, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics61', 'Numeric', 'Location quotient for NAICS 61 Educational services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (576, NULL, NULL, 'us.bls.lq_month3_emplvl_naics61', 'Numeric', 'Location quotient third month for NAICS 61 Educational services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 61 Educational services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (577, NULL, NULL, 'us.bls.avg_wkly_wage_naics62', 'Numeric', 'Average weekly wage for NAICS 62 Health care and social assistance', 'Average weekly wage for a given quarter for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (578, NULL, NULL, 'us.bls.qtrly_estabs_naics62', 'Numeric', 'Establishment count for NAICS 62 Health care and social assistance', 'Count of establishments for a given quarter for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (579, NULL, NULL, 'us.bls.month3_emplvl_naics62', 'Numeric', 'Third month employment for NAICS 62 Health care and social assistance', 'Employment level for the third month of a given quarter for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (580, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics62', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 62 Health care and social assistance', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (581, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics62', 'Numeric', 'Location quotient for NAICS 62 Health care and social assistance', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (582, NULL, NULL, 'us.bls.lq_month3_emplvl_naics62', 'Numeric', 'Location quotient third month for NAICS 62 Health care and social assistance', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 62 Health care and social assistance', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (583, NULL, NULL, 'us.bls.avg_wkly_wage_naics71', 'Numeric', 'Average weekly wage for NAICS 71 Arts, entertainment, and recreation', 'Average weekly wage for a given quarter for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (584, NULL, NULL, 'us.bls.qtrly_estabs_naics71', 'Numeric', 'Establishment count for NAICS 71 Arts, entertainment, and recreation', 'Count of establishments for a given quarter for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (585, NULL, NULL, 'us.bls.month3_emplvl_naics71', 'Numeric', 'Third month employment for NAICS 71 Arts, entertainment, and recreation', 'Employment level for the third month of a given quarter for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (586, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics71', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 71 Arts, entertainment, and recreation', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (587, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics71', 'Numeric', 'Location quotient for NAICS 71 Arts, entertainment, and recreation', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (649, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (588, NULL, NULL, 'us.bls.lq_month3_emplvl_naics71', 'Numeric', 'Location quotient third month for NAICS 71 Arts, entertainment, and recreation', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 71 Arts, entertainment, and recreation', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (589, NULL, NULL, 'us.bls.avg_wkly_wage_naics72', 'Numeric', 'Average weekly wage for NAICS 72 Accommodation and food services', 'Average weekly wage for a given quarter for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (591, NULL, NULL, 'us.bls.qtrly_estabs_naics72', 'Numeric', 'Establishment count for NAICS 72 Accommodation and food services', 'Count of establishments for a given quarter for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (654, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (592, NULL, NULL, 'us.bls.month3_emplvl_naics72', 'Numeric', 'Third month employment for NAICS 72 Accommodation and food services', 'Employment level for the third month of a given quarter for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (593, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics72', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 72 Accommodation and food services', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (594, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics72', 'Numeric', 'Location quotient for NAICS 72 Accommodation and food services', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (595, NULL, NULL, 'us.bls.lq_month3_emplvl_naics72', 'Numeric', 'Location quotient third month for NAICS 72 Accommodation and food services', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 72 Accommodation and food services', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (596, NULL, NULL, 'us.bls.avg_wkly_wage_naics81', 'Numeric', 'Average weekly wage for NAICS 81 Other services, except public administration', 'Average weekly wage for a given quarter for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (597, NULL, NULL, 'us.bls.qtrly_estabs_naics81', 'Numeric', 'Establishment count for NAICS 81 Other services, except public administration', 'Count of establishments for a given quarter for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (598, NULL, NULL, 'us.bls.month3_emplvl_naics81', 'Numeric', 'Third month employment for NAICS 81 Other services, except public administration', 'Employment level for the third month of a given quarter for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (599, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics81', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 81 Other services, except public administration', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (600, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics81', 'Numeric', 'Location quotient for NAICS 81 Other services, except public administration', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (601, NULL, NULL, 'us.bls.lq_month3_emplvl_naics81', 'Numeric', 'Location quotient third month for NAICS 81 Other services, except public administration', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 81 Other services, except public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (602, NULL, NULL, 'us.bls.avg_wkly_wage_naics92', 'Numeric', 'Average weekly wage for NAICS 92 Public administration', 'Average weekly wage for a given quarter for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (603, NULL, NULL, 'us.bls.qtrly_estabs_naics92', 'Numeric', 'Establishment count for NAICS 92 Public administration', 'Count of establishments for a given quarter for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (604, NULL, NULL, 'us.bls.month3_emplvl_naics92', 'Numeric', 'Third month employment for NAICS 92 Public administration', 'Employment level for the third month of a given quarter for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (605, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics92', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 92 Public administration', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (606, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics92', 'Numeric', 'Location quotient for NAICS 92 Public administration', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (607, NULL, NULL, 'us.bls.lq_month3_emplvl_naics92', 'Numeric', 'Location quotient third month for NAICS 92 Public administration', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 92 Public administration', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (608, NULL, NULL, 'us.bls.avg_wkly_wage_naics99', 'Numeric', 'Average weekly wage for NAICS 99 Unclassified', 'Average weekly wage for a given quarter for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (609, NULL, NULL, 'us.bls.qtrly_estabs_naics99', 'Numeric', 'Establishment count for NAICS 99 Unclassified', 'Count of establishments for a given quarter for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (610, NULL, NULL, 'us.bls.month3_emplvl_naics99', 'Numeric', 'Third month employment for NAICS 99 Unclassified', 'Employment level for the third month of a given quarter for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (611, NULL, NULL, 'us.bls.lq_avg_wkly_wage_naics99', 'Numeric', 'Quarterly location quotient weekly wage for NAICS 99 Unclassified', 'Location quotient of the average weekly wage for a given quarter relative to the U.S. (Rounded to hundredths place) for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (612, NULL, NULL, 'us.bls.lq_qtrly_estabs_naics99', 'Numeric', 'Location quotient for NAICS 99 Unclassified', 'Location quotient of the quarterly establishment count relative to the U.S. (Rounded to hundredths place) for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (613, NULL, NULL, 'us.bls.lq_month3_emplvl_naics99', 'Numeric', 'Location quotient third month for NAICS 99 Unclassified', 'Location quotient of the employment level for the third month of a given quarter relative to the U.S. (Rounded to hundredths place)), for NAICS 99 Unclassified', 0, 'sum', 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (614, NULL, NULL, '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.', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (615, NULL, NULL, 'us.census.acs.B03002008', 'Numeric', 'Other Race population', 'The number of people identifying as another race in each geography', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (616, NULL, NULL, 'us.census.acs.B03002009', 'Numeric', 'Two or more races population', 'The number of people identifying as two or more races in each geography', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (618, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (619, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (655, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (620, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (621, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (622, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (623, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (624, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (625, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (626, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (627, NULL, NULL, 'us.census.acs.B23008010', 'Numeric', 'One-parent families, father in labor force, with young children (under 6 years of age)', '', 0, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (629, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (630, NULL, NULL, 'us.census.acs.B12005015', 'Numeric', 'Divorced', 'The number of people in a geographic area who are divorced', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (631, NULL, NULL, 'us.census.acs.B12005002', 'Numeric', 'Never Married', 'The number of people in a geographic area who have never been married.', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (632, NULL, NULL, 'us.census.acs.B12005005', 'Numeric', 'Currently married', 'The number of people in a geographic area who are currently married', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (633, NULL, NULL, 'us.census.acs.B12005008', 'Numeric', 'Married but separated', 'The number of people in a geographic area who are married but separated', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (634, NULL, NULL, 'us.census.acs.B12005012', 'Numeric', 'Widowed', 'The number of people in a geographic area who are widowed', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (635, NULL, NULL, 'us.census.acs.B08134001', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (636, NULL, NULL, 'us.census.acs.B08135001', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (637, NULL, NULL, 'us.census.acs.B08134002', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (638, NULL, NULL, 'us.census.acs.B08134003', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (639, NULL, NULL, 'us.census.acs.B08134004', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (640, NULL, NULL, 'us.census.acs.B08134005', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (641, NULL, NULL, 'us.census.acs.B08134006', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (642, NULL, NULL, 'us.census.acs.B08134007', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (643, NULL, NULL, 'us.census.acs.B08134008', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (644, NULL, NULL, 'us.census.acs.B08134009', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (645, NULL, NULL, 'us.census.acs.B08134010', 'Numeric', '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', 2, 'sum', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (646, NULL, NULL, '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', 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (647, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (648, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (650, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (651, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (652, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (653, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (656, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (657, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (658, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (659, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (660, NULL, NULL, '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, NULL, 1, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (662, NULL, NULL, 'us.ny.nyc.opendata.good_through_date', 'Date', 'Good Through Date', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (663, NULL, NULL, 'us.ny.nyc.opendata.record_type', 'Text', 'Record Type', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (664, NULL, NULL, 'us.ny.nyc.opendata."us.ny.nyc.opendata.document_id', 'Text', 'Document ID', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (665, NULL, NULL, 'us.ny.nyc.opendata."us.ny.nyc.opendata.record_type', 'Text', 'Record Type', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (666, NULL, NULL, 'us.ny.nyc.opendata.block', 'Integer', 'Block', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (667, NULL, NULL, 'us.ny.nyc.opendata.lot', 'Integer', 'Lot', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (668, NULL, NULL, 'us.ny.nyc.opendata.easement', 'Text', 'Easement', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (669, NULL, NULL, 'us.ny.nyc.opendata.partial_lot', 'Text', 'Partial Lot', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (670, NULL, NULL, 'us.ny.nyc.opendata.air_rights', 'Text', 'Air Rights', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (671, NULL, NULL, 'us.ny.nyc.opendata.subterranean_rights', 'Text', 'Subterranean Rights', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (672, NULL, NULL, 'us.ny.nyc.opendata.property_type', 'Text', 'Property Type', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (673, NULL, NULL, 'us.ny.nyc.opendata.street_number', 'Text', 'Street Number', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (674, NULL, NULL, 'us.ny.nyc.opendata.street_name', 'Text', 'Street Name', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (675, NULL, NULL, 'us.ny.nyc.opendata.unit', 'Text', 'Unit', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (676, NULL, NULL, 'us.ny.nyc.opendata."us.ny.nyc.opendata.good_through_date', 'Date', 'Good Through Date', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (677, NULL, NULL, 'us.census.spielman_singleton_segments.X10', 'Text', 'SS_segment_10_clusters', 'Sociodemographic classes from Spielman and Singleton 2015, 10 clusters', 0, NULL, 3, '{"categories": {"Hispanic and Young": "Hispanic and Young description", "Wealthy Nuclear Families": "Wealthy Nuclear Families desc", "Middle Income, Single Family Home": "Middle Income, Single Family Home desc", "Native American": "Native American desc", "Wealthy, urban without Kids": "Wealthy, urban without Kids desc", "Low income and diverse": "Low income and diverse desc", "Wealthy Old Caucasion": "Wealthy Old Caucasion desc", "Low income, mix of minorities": "Low income, mix of minorities desc", "Low income, African American": "Low income, African American desc", "Residential Institutions": "Residential Institutions desc"}}');
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (678, NULL, NULL, 'us.census.spielman_singleton_segments.X2', 'Text', 'SS_segment_2_clusters', 'Sociodemographic classes from Spielman and Singleton 2015, 10 clusters', 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (679, NULL, NULL, 'us.ny.nyc.opendata.crfn', 'Text', 'City Reel File Number', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (680, NULL, NULL, 'us.ny.nyc.opendata.borough', 'Text', 'borough', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (681, NULL, NULL, 'us.ny.nyc.opendata.doc_type', 'Text', 'Document Type', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (682, NULL, NULL, 'us.ny.nyc.opendata.doc_date', 'Text', 'Document Date', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (683, NULL, NULL, 'us.ny.nyc.opendata.doc_amt', 'Text', 'Document Amount', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (684, NULL, NULL, 'us.ny.nyc.opendata.recorded_filed', 'Text', 'Recorded / Filed', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (685, NULL, NULL, 'us.ny.nyc.opendata.modified_date', 'Date', 'Modified Date', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (686, NULL, NULL, 'us.ny.nyc.opendata.reel_year', 'Integer', 'Reel Year', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (687, NULL, NULL, 'us.ny.nyc.opendata.reel_nbr', 'Text', 'Reel Number', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (688, NULL, NULL, 'us.ny.nyc.opendata.reel_page', 'Text', 'Reel Pgae', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (689, NULL, NULL, 'us.ny.nyc.opendata.percent_transferred', 'Text', 'precent_transferred', NULL, 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (690, NULL, NULL, 'us.ny.nyc.opendata.party_type', 'Integer', 'Party Type', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (691, NULL, NULL, 'us.ny.nyc.opendata.name', 'Text', 'Name', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (692, NULL, NULL, 'us.ny.nyc.opendata.address1', 'Text', 'Address 1', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (693, NULL, NULL, 'us.ny.nyc.opendata.address2', 'Text', 'Address 2', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (694, NULL, NULL, 'us.ny.nyc.opendata.country', 'Text', 'country', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (695, NULL, NULL, 'us.ny.nyc.opendata.city', 'Text', 'city', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (696, NULL, NULL, 'us.ny.nyc.opendata.state', 'Text', 'state', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (697, NULL, NULL, 'us.ny.nyc.opendata.zip', 'Text', 'zip', NULL, 0, NULL, 0, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (698, NULL, NULL, 'us.census.spielman_singleton_segments.X31', 'Text', 'SS_segment_31_clusters', 'Sociodemographic classes from Spielman and Singleton 2015, 10 clusters', 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (699, NULL, NULL, 'us.census.spielman_singleton_segments.X55', 'Text', 'SS_segment_55_clusters', 'Sociodemographic classes from Spielman and Singleton 2015, 10 clusters', 0, NULL, 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (700, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (702, NULL, NULL, 'us.census.acs.B01001026_quantile', 'Numeric', 'Quantile:Female Population', 'The number of people within each geography who are female.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (703, NULL, NULL, 'us.census.acs.B01002001_quantile', 'Numeric', 'Quantile:Median Age', 'The median age of all people in a given geographic area.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (704, NULL, NULL, 'us.census.acs.B03002003_quantile', 'Numeric', 'Quantile:White Population', 'The number of people identifying as white, non-Hispanic in each geography.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (705, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (706, NULL, NULL, 'us.census.acs.B03002006_quantile', 'Numeric', 'Quantile:Asian Population', 'The number of people identifying as Asian, non-Hispanic in each geography.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (707, NULL, NULL, 'us.census.acs.B03002012_quantile', 'Numeric', 'Quantile:Hispanic Population', 'The number of people identifying as Hispanic or Latino in each geography.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (708, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (709, NULL, NULL, 'us.census.acs.B03002008_quantile', 'Numeric', 'Quantile:Other Race population', 'The number of people identifying as another race in each geography', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (710, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (711, NULL, NULL, 'us.census.acs.B03002002_quantile', 'Numeric', 'Quantile:Population not Hispanic', 'The number of people not identifying as Hispanic or Latino in each geography.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (712, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (713, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (714, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (715, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (716, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (717, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (718, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (719, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (720, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (721, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (722, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (723, NULL, NULL, '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. ', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (724, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (725, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (726, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (727, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (728, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (729, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (730, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (731, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (732, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (733, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (734, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (735, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (736, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (737, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (738, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (739, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (740, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (741, NULL, NULL, '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)', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (742, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (743, NULL, NULL, 'us.census.acs.B19083001_quantile', 'Numeric', 'Quantile:Gini Index', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (744, NULL, NULL, 'us.census.acs.B19301001_quantile', 'Numeric', 'Quantile:Per Capita Income in the past 12 Months', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (745, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (746, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (747, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (748, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (749, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (750, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (751, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (753, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (795, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (754, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (755, NULL, NULL, 'us.census.acs.B23008002_quantile', 'Numeric', 'Quantile:Families with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (756, NULL, NULL, 'us.census.acs.B23008003_quantile', 'Numeric', 'Quantile:Two-parent families with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (757, NULL, NULL, 'us.census.acs.B23008004_quantile', 'Numeric', 'Quantile:Two-parent families, both parents in labor force with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (758, NULL, NULL, 'us.census.acs.B23008005_quantile', 'Numeric', 'Quantile:Two-parent families, father only in labor force with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (759, NULL, NULL, 'us.census.acs.B23008006_quantile', 'Numeric', 'Quantile:Two-parent families, mother only in labor force with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (760, NULL, NULL, 'us.census.acs.B23008007_quantile', 'Numeric', 'Quantile:Two-parent families, neither parent in labor force with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (761, NULL, NULL, 'us.census.acs.B23008008_quantile', 'Numeric', 'Quantile:One-parent families with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (762, NULL, NULL, 'us.census.acs.B23008009_quantile', 'Numeric', 'Quantile:One-parent families, father, with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (763, NULL, NULL, 'us.census.acs.B15001027_quantile', 'Numeric', 'Quantile:Men age 45 to 64 ("middle aged")', '0', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (764, NULL, NULL, 'us.census.acs.B01001015_quantile', 'Numeric', 'Quantile:Men age 45 to 49', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (765, NULL, NULL, 'us.census.acs.B01001016_quantile', 'Numeric', 'Quantile:Men age 50 to 54', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (766, NULL, NULL, 'us.census.acs.B01001017_quantile', 'Numeric', 'Quantile:Men age 55 to 59', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (767, NULL, NULL, 'us.census.acs.B01001018_quantile', 'Numeric', 'Quantile:Men age 60 to 61', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (768, NULL, NULL, 'us.census.acs.B01001019_quantile', 'Numeric', 'Quantile:Men age 62 to 64', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (769, NULL, NULL, 'us.census.acs.B01001B012_quantile', 'Numeric', 'Quantile:Black Men age 45 to 54', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (770, NULL, NULL, 'us.census.acs.B01001B013_quantile', 'Numeric', 'Quantile:Black Men age 55 to 64', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (771, NULL, NULL, 'us.census.acs.B01001I012_quantile', 'Numeric', 'Quantile:Hispanic Men age 45 to 54', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (772, NULL, NULL, 'us.census.acs.B01001I013_quantile', 'Numeric', 'Quantile:Hispanic Men age 55 to 64', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (773, NULL, NULL, 'us.census.acs.B01001H012_quantile', 'Numeric', 'Quantile:White Men age 45 to 54', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (774, NULL, NULL, 'us.census.acs.B01001H013_quantile', 'Numeric', 'Quantile:White Men age 55 to 64', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (775, NULL, NULL, 'us.census.acs.B01001D012_quantile', 'Numeric', 'Quantile:Asian Men age 45 to 54', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (776, NULL, NULL, 'us.census.acs.B01001D013_quantile', 'Numeric', 'Quantile:Asian Men age 55 to 64', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (777, NULL, NULL, 'us.census.acs.B15001028_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who attained less than a 9th grade education', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (778, NULL, NULL, 'us.census.acs.B15001029_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who attained between 9th and 12th grade, no diploma', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (779, NULL, NULL, 'us.census.acs.B15001030_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who completed high school or obtained GED', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (780, NULL, NULL, 'us.census.acs.B15001031_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who completed some college, no degree', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (781, NULL, NULL, 'us.census.acs.B15001032_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who obtained an associate''s degree', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (782, NULL, NULL, 'us.census.acs.B15001033_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who obtained a bachelor''s degree', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (783, NULL, NULL, 'us.census.acs.B15001034_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who obtained a graduate or professional degree', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (784, NULL, NULL, 'us.census.acs.B23008010_quantile', 'Numeric', 'Quantile:One-parent families, father in labor force, with young children (under 6 years of age)', '', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (785, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (786, NULL, NULL, 'us.census.acs.B12005002_quantile', 'Numeric', 'Quantile:Never Married', 'The number of people in a geographic area who have never been married.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (787, NULL, NULL, 'us.census.acs.B12005005_quantile', 'Numeric', 'Quantile:Currently married', 'The number of people in a geographic area who are currently married', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (788, NULL, NULL, 'us.census.acs.B12005008_quantile', 'Numeric', 'Quantile:Married but separated', 'The number of people in a geographic area who are married but separated', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (789, NULL, NULL, 'us.census.acs.B12005012_quantile', 'Numeric', 'Quantile:Widowed', 'The number of people in a geographic area who are widowed', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (790, NULL, NULL, 'us.census.acs.B12005015_quantile', 'Numeric', 'Quantile:Divorced', 'The number of people in a geographic area who are divorced', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (791, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (792, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (793, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (794, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (796, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (797, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (798, NULL, NULL, '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, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (799, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (800, NULL, NULL, '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', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (801, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (802, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (803, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (804, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (805, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (806, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (807, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (808, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (809, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (810, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (811, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (812, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (813, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (814, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (815, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (816, NULL, NULL, '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.', 0, 'quantile', 3, NULL);
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_column SET SCHEMA observatory;

1819
src/pg/test/fixtures/obs_column_table.sql vendored
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333
src/pg/test/fixtures/obs_column_tag.sql vendored
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CREATE TABLE obs_column_tag (
cartodb_id integer NOT NULL,
the_geom geometry(Geometry,4326),
the_geom_webmercator geometry(Geometry,3857),
column_id text,
tag_id text
);
COPY obs_column_tag (cartodb_id, the_geom, the_geom_webmercator, column_id, tag_id) FROM stdin;
1 \N \N es.ine.pop_100_more es.ine.demographics
2 \N \N es.ine.total_pop es.ine.demographics
3 \N \N es.ine.pop_0_4 es.ine.demographics
4 \N \N es.ine.pop_5_9 es.ine.demographics
5 \N \N es.ine.pop_10_14 es.ine.demographics
6 \N \N es.ine.pop_15_19 es.ine.demographics
7 \N \N es.ine.pop_20_24 es.ine.demographics
8 \N \N es.ine.pop_25_29 es.ine.demographics
9 \N \N es.ine.pop_30_34 es.ine.demographics
10 \N \N es.ine.pop_35_39 es.ine.demographics
11 \N \N es.ine.pop_40_44 es.ine.demographics
12 \N \N es.ine.pop_45_49 es.ine.demographics
13 \N \N es.ine.pop_50_54 es.ine.demographics
14 \N \N es.ine.pop_55_59 es.ine.demographics
15 \N \N es.ine.pop_60_64 es.ine.demographics
16 \N \N es.ine.pop_65_69 es.ine.demographics
17 \N \N es.ine.pop_70_74 es.ine.demographics
18 \N \N es.ine.pop_75_79 es.ine.demographics
19 \N \N es.ine.pop_80_84 es.ine.demographics
20 \N \N es.ine.pop_85_89 es.ine.demographics
21 \N \N es.ine.pop_90_94 es.ine.demographics
22 \N \N es.ine.pop_95_99 es.ine.demographics
23 \N \N us.census.lodes.jobs_firm_age_4_5_years tags.income_education_employment
24 \N \N us.census.lodes.jobs_firm_age_6_10_years tags.income_education_employment
25 \N \N us.census.lodes.jobs_firm_age_11_more_years tags.income_education_employment
26 \N \N us.census.lodes.jobs_firm_age_0_19_employees tags.income_education_employment
27 \N \N us.census.lodes.jobs_firm_age_20_49_employees tags.income_education_employment
28 \N \N us.census.lodes.jobs_firm_age_50_249_employees tags.income_education_employment
29 \N \N us.census.lodes.jobs_firm_age_250_499_employees tags.income_education_employment
30 \N \N us.census.acs.B19001009 tags.income_education_employment
31 \N \N us.census.acs.B19001010 us.census.acs.demographics
32 \N \N us.census.acs.B19001010 tags.income_education_employment
33 \N \N us.census.acs.B19001011 us.census.acs.demographics
34 \N \N us.census.acs.B19001011 tags.income_education_employment
35 \N \N us.census.acs.B19001012 us.census.acs.demographics
36 \N \N us.census.acs.B19001012 tags.income_education_employment
37 \N \N us.census.acs.B19001013 us.census.acs.demographics
38 \N \N us.census.acs.B19001013 tags.income_education_employment
39 \N \N us.census.acs.B19001014 us.census.acs.demographics
40 \N \N us.census.acs.B19001014 tags.income_education_employment
41 \N \N us.census.acs.B19001015 us.census.acs.demographics
42 \N \N us.census.acs.B19001015 tags.income_education_employment
43 \N \N us.census.acs.B19001016 us.census.acs.demographics
44 \N \N us.census.acs.B19001016 tags.income_education_employment
45 \N \N us.census.acs.B23025001 tags.income_education_employment
46 \N \N us.census.acs.B23025001 us.census.acs.demographics
47 \N \N us.census.acs.B23025007 tags.income_education_employment
48 \N \N us.census.acs.B23025007 us.census.acs.demographics
49 \N \N us.census.acs.B23025002 tags.income_education_employment
50 \N \N us.census.acs.B23025002 us.census.acs.demographics
51 \N \N us.census.acs.B23025006 tags.income_education_employment
52 \N \N us.census.acs.B23025006 us.census.acs.demographics
53 \N \N us.census.acs.B23025003 tags.income_education_employment
54 \N \N us.census.acs.B23025003 us.census.acs.demographics
55 \N \N us.census.acs.B23025005 tags.income_education_employment
56 \N \N us.census.acs.B23025005 us.census.acs.demographics
57 \N \N us.census.acs.B23025004 tags.income_education_employment
58 \N \N us.census.acs.B23025004 us.census.acs.demographics
59 \N \N us.census.tiger.school_district_secondary tags.boundary
60 \N \N us.census.tiger.school_district_elementary tags.boundary
61 \N \N us.census.tiger.school_district_unified tags.boundary
62 \N \N us.census.tiger.county tags.boundary
63 \N \N us.census.tiger.state tags.boundary
64 \N \N us.census.tiger.puma tags.boundary
65 \N \N us.census.tiger.block_group tags.boundary
66 \N \N us.census.tiger.census_tract tags.boundary
67 \N \N us.census.tiger.congressional_district tags.boundary
68 \N \N us.census.tiger.zcta5 tags.boundary
69 \N \N us.census.tiger.block tags.boundary
70 \N \N us.census.acs.B03002005 us.census.acs.demographics
71 \N \N us.census.acs.B03002005 tags.population
72 \N \N us.census.acs.B03002005 tags.race_age_gender
73 \N \N us.census.acs.B03002008 us.census.acs.demographics
74 \N \N us.census.acs.B03002008 tags.population
75 \N \N us.census.acs.B03002008 tags.race_age_gender
76 \N \N us.census.acs.B03002009 us.census.acs.demographics
77 \N \N us.census.acs.B03002009 tags.population
78 \N \N us.census.acs.B03002009 tags.race_age_gender
79 \N \N us.census.acs.B03002002 us.census.acs.demographics
80 \N \N us.census.acs.B03002002 tags.population
81 \N \N us.census.acs.B03002002 tags.race_age_gender
82 \N \N us.census.acs.B08006004 us.census.acs.demographics
83 \N \N us.census.acs.B08006004 tags.transportation
84 \N \N us.census.acs.B08006003 us.census.acs.demographics
85 \N \N us.census.acs.B08006003 tags.transportation
86 \N \N us.census.acs.B19001017 us.census.acs.demographics
87 \N \N us.census.acs.B19001017 tags.income_education_employment
88 \N \N us.census.acs.B15003019 us.census.acs.demographics
89 \N \N us.census.acs.B15003019 tags.income_education_employment
90 \N \N us.census.acs.B15003020 us.census.acs.demographics
91 \N \N us.census.acs.B15003020 tags.income_education_employment
92 \N \N us.census.acs.B15003021 us.census.acs.demographics
93 \N \N us.census.acs.B15003021 tags.income_education_employment
94 \N \N us.census.acs.B23008010 us.census.segments.families_with_young_children
95 \N \N us.census.acs.B12005015 us.census.acs.demographics
96 \N \N us.census.acs.B12005001 us.census.acs.demographics
97 \N \N us.census.acs.B12005001 tags.denominator
98 \N \N us.census.acs.B12005002 us.census.acs.demographics
99 \N \N us.census.acs.B12005005 us.census.acs.demographics
100 \N \N us.census.acs.B12005008 us.census.acs.demographics
101 \N \N us.census.acs.B12005012 us.census.acs.demographics
102 \N \N us.census.acs.B08135001 us.census.acs.demographics
103 \N \N us.census.acs.B08135001 tags.income_education_employment
104 \N \N us.census.acs.B08134001 us.census.acs.demographics
105 \N \N us.census.acs.B08134001 tags.income_education_employment
106 \N \N us.census.acs.B08134002 us.census.acs.demographics
107 \N \N us.census.acs.B08134002 tags.income_education_employment
108 \N \N us.census.acs.B08134003 us.census.acs.demographics
109 \N \N us.census.acs.B08134003 tags.income_education_employment
110 \N \N us.census.acs.B08134004 us.census.acs.demographics
111 \N \N us.census.acs.B08134004 tags.income_education_employment
112 \N \N us.census.acs.B08134005 us.census.acs.demographics
113 \N \N us.census.acs.B08134005 tags.income_education_employment
114 \N \N us.census.acs.B08134006 us.census.acs.demographics
115 \N \N us.census.acs.B08134006 tags.income_education_employment
116 \N \N us.census.acs.B08134007 us.census.acs.demographics
117 \N \N us.census.acs.B08134007 tags.income_education_employment
118 \N \N us.census.acs.B08134008 us.census.acs.demographics
119 \N \N us.census.acs.B08134008 tags.income_education_employment
120 \N \N us.census.acs.B08134009 us.census.acs.demographics
121 \N \N us.census.acs.B08134009 tags.income_education_employment
122 \N \N us.census.acs.B08134010 us.census.acs.demographics
123 \N \N us.census.acs.B08134010 tags.income_education_employment
124 \N \N us.census.acs.B19001002 us.census.acs.demographics
125 \N \N us.census.acs.B19001002 tags.income_education_employment
126 \N \N us.census.acs.B19001003 us.census.acs.demographics
127 \N \N us.census.acs.B19001003 tags.income_education_employment
128 \N \N us.census.acs.B19001004 us.census.acs.demographics
129 \N \N us.census.acs.B19001004 tags.income_education_employment
130 \N \N us.census.acs.B19001005 us.census.acs.demographics
131 \N \N us.census.acs.B19001005 tags.income_education_employment
132 \N \N us.census.acs.B19001006 us.census.acs.demographics
133 \N \N us.census.acs.B19001006 tags.income_education_employment
134 \N \N us.census.acs.B19001007 us.census.acs.demographics
135 \N \N us.census.acs.B19001007 tags.income_education_employment
136 \N \N us.census.acs.B01001001 us.census.acs.demographics
137 \N \N us.census.acs.B01001001 tags.denominator
138 \N \N us.census.acs.B01001001 tags.population
139 \N \N us.census.acs.B15001034 us.census.segments.middle_aged_men
140 \N \N us.census.acs.B19001008 us.census.acs.demographics
141 \N \N us.census.acs.B19001008 tags.income_education_employment
142 \N \N us.census.acs.B19001009 us.census.acs.demographics
143 \N \N us.census.acs.B01001002 us.census.acs.demographics
144 \N \N us.census.acs.B01001002 tags.population
145 \N \N us.census.acs.B01001026 us.census.acs.demographics
146 \N \N us.census.acs.B01001026 tags.population
147 \N \N us.census.acs.B01002001 us.census.acs.demographics
148 \N \N us.census.acs.B01002001 tags.population
149 \N \N us.census.acs.B03002003 us.census.acs.demographics
150 \N \N us.census.acs.B03002003 tags.population
151 \N \N us.census.acs.B03002003 tags.race_age_gender
152 \N \N us.census.acs.B03002004 us.census.acs.demographics
153 \N \N us.census.acs.B03002004 tags.population
154 \N \N us.census.acs.B03002004 tags.race_age_gender
155 \N \N us.census.acs.B03002006 us.census.acs.demographics
156 \N \N us.census.acs.B03002006 tags.population
157 \N \N us.census.acs.B03002006 tags.race_age_gender
158 \N \N us.census.acs.B03002012 us.census.acs.demographics
159 \N \N us.census.acs.B03002012 tags.population
160 \N \N us.census.acs.B03002012 tags.race_age_gender
161 \N \N us.census.acs.B05001006 us.census.acs.demographics
162 \N \N us.census.acs.B05001006 tags.population
163 \N \N us.census.acs.B08006001 us.census.acs.demographics
164 \N \N us.census.acs.B08006001 tags.denominator
165 \N \N us.census.acs.B08006001 tags.income_education_employment
166 \N \N us.census.acs.B08006017 us.census.acs.demographics
167 \N \N us.census.acs.B08006017 tags.transportation
168 \N \N us.census.acs.B08006002 us.census.acs.demographics
169 \N \N us.census.acs.B08006002 tags.transportation
170 \N \N us.census.acs.B08006008 us.census.acs.demographics
171 \N \N us.census.acs.B08006008 tags.transportation
172 \N \N us.census.acs.B08006015 us.census.acs.demographics
173 \N \N us.census.acs.B08006015 tags.transportation
174 \N \N us.census.acs.B08006009 us.census.acs.demographics
175 \N \N us.census.acs.B08006009 tags.transportation
176 \N \N us.census.acs.B08006011 us.census.acs.demographics
177 \N \N us.census.acs.B08006011 tags.transportation
178 \N \N us.census.acs.B09001001 us.census.acs.demographics
179 \N \N us.census.acs.B09001001 tags.denominator
180 \N \N us.census.acs.B09001001 tags.race_age_gender
181 \N \N us.census.acs.B11001001 us.census.acs.demographics
182 \N \N us.census.acs.B11001001 tags.housing
183 \N \N us.census.acs.B14001001 us.census.acs.demographics
184 \N \N us.census.acs.B14001001 tags.income_education_employment
185 \N \N us.census.acs.B14001002 us.census.acs.demographics
186 \N \N us.census.acs.B14001002 tags.income_education_employment
187 \N \N us.census.acs.B14001008 us.census.acs.demographics
188 \N \N us.census.acs.B14001008 tags.income_education_employment
189 \N \N us.census.acs.B14001005 us.census.acs.demographics
190 \N \N us.census.acs.B14001005 tags.income_education_employment
191 \N \N us.census.acs.B14001006 us.census.acs.demographics
192 \N \N us.census.acs.B14001006 tags.income_education_employment
193 \N \N us.census.acs.B14001007 us.census.acs.demographics
194 \N \N us.census.acs.B14001007 tags.income_education_employment
195 \N \N us.census.acs.B15003001 us.census.acs.demographics
196 \N \N us.census.acs.B15003001 tags.denominator
197 \N \N us.census.acs.B15003001 tags.income_education_employment
198 \N \N us.census.acs.B15003023 us.census.acs.demographics
199 \N \N us.census.acs.B15003023 tags.income_education_employment
200 \N \N us.census.acs.B15003017 us.census.acs.demographics
201 \N \N us.census.acs.B15003017 tags.income_education_employment
202 \N \N us.census.acs.B15003022 us.census.acs.demographics
203 \N \N us.census.acs.B15003022 tags.income_education_employment
204 \N \N us.census.acs.B16001001 us.census.acs.demographics
205 \N \N us.census.acs.B16001001 tags.denominator
206 \N \N us.census.acs.B16001003 us.census.acs.demographics
207 \N \N us.census.acs.B16001003 tags.language
208 \N \N us.census.acs.B16001002 us.census.acs.demographics
209 \N \N us.census.acs.B16001002 tags.language
210 \N \N us.census.acs.B17001001 us.census.acs.demographics
211 \N \N us.census.acs.B17001001 tags.denominator
212 \N \N us.census.acs.B17001002 us.census.acs.demographics
213 \N \N us.census.acs.B17001002 tags.denominator
214 \N \N us.census.acs.B17001002 tags.income_education_employment
215 \N \N us.census.acs.B19013001 us.census.acs.demographics
216 \N \N us.census.acs.B19013001 tags.income_education_employment
217 \N \N us.census.acs.B19083001 us.census.acs.demographics
218 \N \N us.census.acs.B19083001 tags.income_education_employment
219 \N \N us.census.acs.B19301001 us.census.acs.demographics
220 \N \N us.census.acs.B19301001 tags.income_education_employment
221 \N \N us.census.acs.B25001001 us.census.acs.demographics
222 \N \N us.census.acs.B25001001 tags.housing
223 \N \N us.census.acs.B25001001 tags.denominator
224 \N \N us.census.acs.B25075001 us.census.acs.demographics
225 \N \N us.census.acs.B25075001 tags.housing
226 \N \N us.census.acs.B25081002 us.census.acs.demographics
227 \N \N us.census.acs.B25081002 tags.housing
228 \N \N us.census.acs.B25002003 us.census.acs.demographics
229 \N \N us.census.acs.B25002003 tags.housing
230 \N \N us.census.acs.B25004004 us.census.acs.demographics
231 \N \N us.census.acs.B25004004 tags.housing
232 \N \N us.census.acs.B25004002 us.census.acs.demographics
233 \N \N us.census.acs.B25004002 tags.housing
234 \N \N us.census.acs.B25058001 us.census.acs.demographics
235 \N \N us.census.acs.B25058001 tags.housing
236 \N \N us.census.acs.B25071001 us.census.acs.demographics
237 \N \N us.census.acs.B25071001 tags.housing
238 \N \N us.census.acs.B25071001 tags.income_education_employment
239 \N \N us.census.acs.B25075025 us.census.acs.demographics
240 \N \N us.census.acs.B25075025 tags.housing
241 \N \N us.census.acs.B23008002 us.census.segments.families_with_young_children
242 \N \N B23008010 us.census.segments.families_with_young_children
243 \N \N us.census.acs.B23008003 us.census.segments.families_with_young_children
244 \N \N us.census.acs.B23008004 us.census.segments.families_with_young_children
245 \N \N us.census.acs.B23008005 us.census.segments.families_with_young_children
246 \N \N us.census.acs.B23008006 us.census.segments.families_with_young_children
247 \N \N us.census.acs.B23008007 us.census.segments.families_with_young_children
248 \N \N us.census.acs.B23008008 us.census.segments.families_with_young_children
249 \N \N us.census.acs.B23008009 us.census.segments.families_with_young_children
250 \N \N us.census.acs.B15001027 us.census.segments.middle_aged_men
251 \N \N us.census.acs.B01001015 us.census.segments.middle_aged_men
252 \N \N us.census.acs.B01001016 us.census.segments.middle_aged_men
253 \N \N us.census.acs.B01001017 us.census.segments.middle_aged_men
254 \N \N us.census.acs.B01001018 us.census.segments.middle_aged_men
255 \N \N us.census.acs.B01001019 us.census.segments.middle_aged_men
256 \N \N us.census.acs.B01001B012 us.census.segments.middle_aged_men
257 \N \N us.census.acs.B01001B013 us.census.segments.middle_aged_men
258 \N \N us.census.acs.B01001I012 us.census.segments.middle_aged_men
259 \N \N us.census.acs.B01001I013 us.census.segments.middle_aged_men
260 \N \N us.census.acs.B01001H012 us.census.segments.middle_aged_men
261 \N \N us.census.acs.B01001H013 us.census.segments.middle_aged_men
262 \N \N us.census.acs.B01001D012 us.census.segments.middle_aged_men
263 \N \N us.census.acs.B01001D013 us.census.segments.middle_aged_men
264 \N \N us.census.acs.B15001028 us.census.segments.middle_aged_men
265 \N \N us.census.acs.B15001029 us.census.segments.middle_aged_men
266 \N \N us.census.acs.B15001030 us.census.segments.middle_aged_men
267 \N \N us.census.acs.B15001031 us.census.segments.middle_aged_men
268 \N \N us.census.acs.B15001032 us.census.segments.middle_aged_men
269 \N \N us.census.acs.B15001033 us.census.segments.middle_aged_men
270 \N \N us.census.lodes.total_jobs tags.income_education_employment
271 \N \N us.census.lodes.total_jobs tags.denominator
272 \N \N us.census.lodes.jobs_firm_age_500_more_employees tags.income_education_employment
273 \N \N us.census.lodes.jobs_age_29_or_younger tags.income_education_employment
274 \N \N us.census.lodes.jobs_age_29_or_younger tags.race_age_gender
275 \N \N us.census.lodes.jobs_age_30_to_54 tags.income_education_employment
276 \N \N us.census.lodes.jobs_age_30_to_54 tags.race_age_gender
277 \N \N us.census.lodes.jobs_age_55_or_older tags.income_education_employment
278 \N \N us.census.lodes.jobs_age_55_or_older tags.race_age_gender
279 \N \N us.census.lodes.jobs_earning_15000_or_less tags.income_education_employment
280 \N \N us.census.lodes.jobs_earning_15001_to_40000 tags.income_education_employment
281 \N \N us.census.lodes.jobs_earning_40001_or_more tags.income_education_employment
282 \N \N us.census.lodes.jobs_11_agriculture_forestry_fishing tags.income_education_employment
283 \N \N us.census.lodes.jobs_21_mining_quarrying_oil_gas tags.income_education_employment
284 \N \N us.census.lodes.jobs_22_utilities tags.income_education_employment
285 \N \N us.census.lodes.jobs_23_construction tags.income_education_employment
286 \N \N us.census.lodes.jobs_31_33_manufacturing tags.income_education_employment
287 \N \N us.census.lodes.jobs_42_wholesale_trade tags.income_education_employment
288 \N \N us.census.lodes.jobs_44_45_retail_trade tags.income_education_employment
289 \N \N us.census.lodes.jobs_48_49_transport_warehousing tags.income_education_employment
290 \N \N us.census.lodes.jobs_51_information tags.income_education_employment
291 \N \N us.census.lodes.jobs_52_finance_and_insurance tags.income_education_employment
292 \N \N us.census.lodes.jobs_53_real_estate_rental_leasing tags.income_education_employment
293 \N \N us.census.lodes.jobs_54_professional_scientific_tech_services tags.income_education_employment
294 \N \N us.census.lodes.jobs_55_management_of_companies_enterprises tags.income_education_employment
295 \N \N us.census.lodes.jobs_56_admin_support_waste_management tags.income_education_employment
296 \N \N us.census.lodes.jobs_61_educational_services tags.income_education_employment
297 \N \N us.census.lodes.jobs_62_healthcare_social_assistance tags.income_education_employment
298 \N \N us.census.lodes.jobs_71_arts_entertainment_recreation tags.income_education_employment
299 \N \N us.census.lodes.jobs_72_accommodation_and_food tags.income_education_employment
300 \N \N us.census.lodes.jobs_81_other_services_except_public_admin tags.income_education_employment
301 \N \N us.census.lodes.jobs_92_public_administration tags.income_education_employment
302 \N \N us.census.lodes.jobs_white tags.income_education_employment
303 \N \N us.census.lodes.jobs_white tags.race_age_gender
304 \N \N us.census.lodes.jobs_black tags.income_education_employment
305 \N \N us.census.lodes.jobs_black tags.race_age_gender
306 \N \N us.census.lodes.jobs_asian tags.income_education_employment
307 \N \N us.census.lodes.jobs_asian tags.race_age_gender
308 \N \N us.census.lodes.jobs_hispanic tags.income_education_employment
309 \N \N us.census.lodes.jobs_hispanic tags.race_age_gender
310 \N \N us.census.lodes.jobs_less_than_high_school tags.income_education_employment
311 \N \N us.census.lodes.jobs_high_school tags.income_education_employment
312 \N \N us.census.lodes.jobs_some_college tags.income_education_employment
313 \N \N us.census.lodes.jobs_bachelors_or_advanced tags.income_education_employment
314 \N \N us.census.lodes.jobs_male tags.race_age_gender
315 \N \N us.census.lodes.jobs_male tags.income_education_employment
316 \N \N us.census.lodes.jobs_female tags.race_age_gender
317 \N \N us.census.lodes.jobs_female tags.income_education_employment
318 \N \N us.census.lodes.jobs_firm_age_0_1_years tags.income_education_employment
319 \N \N us.census.lodes.jobs_firm_age_2_3_years tags.income_education_employment
\.
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_column_tag SET SCHEMA observatory;

294
src/pg/test/fixtures/obs_column_to_column.sql vendored
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@ -1,294 +0,0 @@
CREATE TABLE obs_column_to_column(cartodb_id bigint, the_geom geometry, the_geom_webmercator geometry, source_id text, target_id text, reltype text);
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (1, NULL, NULL, 'es.ine.pop_100_more', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (2, NULL, NULL, 'es.ine.pop_0_4', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (3, NULL, NULL, 'es.ine.pop_5_9', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (4, NULL, NULL, 'es.ine.pop_10_14', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (5, NULL, NULL, 'es.ine.pop_15_19', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (6, NULL, NULL, 'es.ine.pop_20_24', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (7, NULL, NULL, 'es.ine.pop_25_29', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (8, NULL, NULL, 'es.ine.pop_30_34', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (9, NULL, NULL, 'es.ine.pop_35_39', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (10, NULL, NULL, 'es.ine.pop_40_44', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (11, NULL, NULL, 'es.ine.pop_45_49', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (12, NULL, NULL, 'es.ine.pop_50_54', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (13, NULL, NULL, 'es.ine.pop_55_59', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (14, NULL, NULL, 'es.ine.pop_60_64', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (15, NULL, NULL, 'es.ine.pop_65_69', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (16, NULL, NULL, 'es.ine.pop_70_74', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (17, NULL, NULL, 'es.ine.pop_75_79', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (18, NULL, NULL, 'es.ine.pop_80_84', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (19, NULL, NULL, 'es.ine.pop_85_89', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (20, NULL, NULL, 'es.ine.pop_90_94', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (21, NULL, NULL, 'es.ine.pop_95_99', 'es.ine.total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (22, NULL, NULL, 'us.census.lodes.jobs_firm_age_500_more_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (23, NULL, NULL, 'us.census.lodes.jobs_age_29_or_younger', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (24, NULL, NULL, 'us.census.lodes.jobs_age_30_to_54', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (25, NULL, NULL, 'us.census.lodes.jobs_age_55_or_older', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (26, NULL, NULL, 'us.census.lodes.jobs_earning_15000_or_less', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (27, NULL, NULL, 'us.census.lodes.jobs_earning_15001_to_40000', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (28, NULL, NULL, 'us.census.lodes.jobs_earning_40001_or_more', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (29, NULL, NULL, 'us.census.lodes.jobs_11_agriculture_forestry_fishing', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (30, NULL, NULL, 'us.census.lodes.jobs_21_mining_quarrying_oil_gas', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (31, NULL, NULL, 'us.census.lodes.jobs_22_utilities', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (32, NULL, NULL, 'us.census.lodes.jobs_23_construction', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (33, NULL, NULL, 'us.census.lodes.jobs_31_33_manufacturing', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (34, NULL, NULL, 'us.census.lodes.jobs_42_wholesale_trade', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (35, NULL, NULL, 'us.census.lodes.jobs_44_45_retail_trade', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (36, NULL, NULL, 'us.census.lodes.jobs_48_49_transport_warehousing', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (37, NULL, NULL, 'us.census.lodes.jobs_51_information', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (38, NULL, NULL, 'us.census.lodes.jobs_52_finance_and_insurance', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (39, NULL, NULL, 'us.census.lodes.jobs_53_real_estate_rental_leasing', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (40, NULL, NULL, 'us.census.lodes.jobs_54_professional_scientific_tech_services', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (41, NULL, NULL, 'us.census.lodes.jobs_55_management_of_companies_enterprises', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (42, NULL, NULL, 'us.census.lodes.jobs_56_admin_support_waste_management', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (43, NULL, NULL, 'us.census.lodes.jobs_61_educational_services', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (44, NULL, NULL, 'us.census.lodes.jobs_62_healthcare_social_assistance', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (45, NULL, NULL, 'us.census.lodes.jobs_71_arts_entertainment_recreation', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (46, NULL, NULL, 'us.census.lodes.jobs_72_accommodation_and_food', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (47, NULL, NULL, 'us.census.lodes.jobs_81_other_services_except_public_admin', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (48, NULL, NULL, 'us.census.lodes.jobs_92_public_administration', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (49, NULL, NULL, 'us.census.lodes.jobs_white', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (50, NULL, NULL, 'us.census.lodes.jobs_black', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (51, NULL, NULL, 'us.census.lodes.jobs_asian', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (52, NULL, NULL, 'us.census.lodes.jobs_hispanic', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (53, NULL, NULL, 'us.census.lodes.jobs_less_than_high_school', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (54, NULL, NULL, 'us.census.lodes.jobs_high_school', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (55, NULL, NULL, 'us.census.lodes.jobs_some_college', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (56, NULL, NULL, 'us.census.lodes.jobs_bachelors_or_advanced', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (57, NULL, NULL, 'us.census.lodes.jobs_male', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (58, NULL, NULL, 'us.census.lodes.jobs_female', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (59, NULL, NULL, 'us.census.lodes.jobs_firm_age_0_1_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (60, NULL, NULL, 'us.census.lodes.jobs_firm_age_2_3_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (61, NULL, NULL, 'us.census.lodes.jobs_firm_age_4_5_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (62, NULL, NULL, 'us.census.lodes.jobs_firm_age_6_10_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (63, NULL, NULL, 'us.census.lodes.jobs_firm_age_11_more_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (64, NULL, NULL, 'us.census.lodes.jobs_firm_age_0_19_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (65, NULL, NULL, 'us.census.lodes.jobs_firm_age_20_49_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (66, NULL, NULL, 'us.census.lodes.jobs_firm_age_50_249_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (67, NULL, NULL, 'us.census.lodes.jobs_firm_age_250_499_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (68, NULL, NULL, 'us.census.tiger.census_tract_geoid', 'us.census.tiger.census_tract', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (69, NULL, NULL, 'us.census.tiger.county_geoid', 'us.census.tiger.county', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (70, NULL, NULL, 'us.census.tiger.congressional_district_geoid', 'us.census.tiger.congressional_district', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (71, NULL, NULL, 'us.census.tiger.block_geoid', 'us.census.tiger.block', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (72, NULL, NULL, 'us.census.tiger.zcta5_geoid', 'us.census.tiger.zcta5', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (73, NULL, NULL, 'us.census.tiger.puma_geoid', 'us.census.tiger.puma', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (74, NULL, NULL, 'us.census.tiger.state_geoid', 'us.census.tiger.state', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (75, NULL, NULL, 'us.census.tiger.block_group_geoid', 'us.census.tiger.block_group', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (76, NULL, NULL, 'us.census.acs.B01001002', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (77, NULL, NULL, 'us.census.acs.B01001026', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (78, NULL, NULL, 'us.census.acs.B03002003', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (79, NULL, NULL, 'us.census.acs.B03002004', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (80, NULL, NULL, 'us.census.acs.B03002006', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (81, NULL, NULL, 'us.census.acs.B03002012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (82, NULL, NULL, 'us.census.acs.B15001034', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (83, NULL, NULL, 'us.census.acs.B08006017', 'us.census.acs.B08006001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (84, NULL, NULL, 'us.census.acs.B08006015', 'us.census.acs.B08006008', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (85, NULL, NULL, 'us.census.acs.B03002005', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (86, NULL, NULL, 'us.census.acs.B14001002', 'us.census.acs.B14001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (87, NULL, NULL, 'us.census.acs.B14001008', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (88, NULL, NULL, 'us.census.acs.B15003023', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (89, NULL, NULL, 'us.census.acs.B16001003', 'us.census.acs.B16001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (90, NULL, NULL, 'us.census.acs.B17001002', 'us.census.acs.B17001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (91, NULL, NULL, 'us.census.acs.B25075001', 'us.census.acs.B25001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (92, NULL, NULL, 'us.census.acs.B25081002', 'us.census.acs.B25075001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (93, NULL, NULL, 'us.census.acs.B25004004', 'us.census.acs.B25002003', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (94, NULL, NULL, 'us.census.acs.B03002008', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (95, NULL, NULL, 'us.census.acs.B03002009', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (96, NULL, NULL, 'us.census.acs.B03002002', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (97, NULL, NULL, 'us.census.acs.B05001006', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (98, NULL, NULL, 'us.census.acs.B08006004', 'us.census.acs.B08006002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (99, NULL, NULL, 'us.census.acs.B08006003', 'us.census.acs.B08006002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (100, NULL, NULL, 'us.census.acs.B08006009', 'us.census.acs.B08006008', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (101, NULL, NULL, 'us.census.acs.B08006011', 'us.census.acs.B08006008', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (102, NULL, NULL, 'us.census.acs.B19001017', 'us.census.acs.B11001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (103, NULL, NULL, 'us.census.acs.B14001005', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (104, NULL, NULL, 'us.census.acs.B14001006', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (105, NULL, NULL, 'us.census.acs.B14001007', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (106, NULL, NULL, 'us.census.acs.B15003017', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (107, NULL, NULL, 'us.census.acs.B15003019', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (108, NULL, NULL, 'us.census.acs.B15003020', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (109, NULL, NULL, 'us.census.acs.B15003021', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (110, NULL, NULL, 'us.census.acs.B15003022', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (111, NULL, NULL, 'us.census.acs.B16001002', 'us.census.acs.B16001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (112, NULL, NULL, 'us.census.acs.B25004002', 'us.census.acs.B25002003', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (113, NULL, NULL, 'us.census.acs.B25075025', 'us.census.acs.B25075001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (114, NULL, NULL, 'us.census.acs.B23008010', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (115, NULL, NULL, 'us.census.acs.B23008003', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (116, NULL, NULL, 'us.census.acs.B23008004', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (117, NULL, NULL, 'us.census.acs.B23008005', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (118, NULL, NULL, 'us.census.acs.B23008006', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (119, NULL, NULL, 'us.census.acs.B23008007', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (120, NULL, NULL, 'us.census.acs.B23008008', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (121, NULL, NULL, 'us.census.acs.B23008009', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (122, NULL, NULL, 'us.census.acs.B01001015', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (123, NULL, NULL, 'us.census.acs.B01001016', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (124, NULL, NULL, 'us.census.acs.B01001017', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (125, NULL, NULL, 'us.census.acs.B01001018', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (126, NULL, NULL, 'us.census.acs.B01001019', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (127, NULL, NULL, 'us.census.acs.B01001B012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (128, NULL, NULL, 'us.census.acs.B01001B013', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (129, NULL, NULL, 'us.census.acs.B01001I012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (130, NULL, NULL, 'us.census.acs.B01001I013', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (131, NULL, NULL, 'us.census.acs.B01001H012', 'us.census.acs.B01001001', 'denominator');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (181, NULL, NULL, 'us.census.acs.B03002009_quantile', 'us.census.acs.B03002009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (182, NULL, NULL, 'us.census.acs.B03002002_quantile', 'us.census.acs.B03002002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (183, NULL, NULL, 'us.census.acs.B05001006_quantile', 'us.census.acs.B05001006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (184, NULL, NULL, 'us.census.acs.B08006001_quantile', 'us.census.acs.B08006001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (185, NULL, NULL, 'us.census.acs.B08006002_quantile', 'us.census.acs.B08006002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (186, NULL, NULL, 'us.census.acs.B08006003_quantile', 'us.census.acs.B08006003', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (187, NULL, NULL, 'us.census.acs.B08006004_quantile', 'us.census.acs.B08006004', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (188, NULL, NULL, 'us.census.acs.B08006008_quantile', 'us.census.acs.B08006008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (189, NULL, NULL, 'us.census.acs.B08006009_quantile', 'us.census.acs.B08006009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (190, NULL, NULL, 'us.census.acs.B08006011_quantile', 'us.census.acs.B08006011', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (191, NULL, NULL, 'us.census.acs.B08006015_quantile', 'us.census.acs.B08006015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (192, NULL, NULL, 'us.census.acs.B08006017_quantile', 'us.census.acs.B08006017', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (193, NULL, NULL, 'us.census.acs.B09001001_quantile', 'us.census.acs.B09001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (194, NULL, NULL, 'us.census.acs.B11001001_quantile', 'us.census.acs.B11001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (195, NULL, NULL, 'us.census.acs.B14001001_quantile', 'us.census.acs.B14001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (196, NULL, NULL, 'us.census.acs.B14001002_quantile', 'us.census.acs.B14001002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (197, NULL, NULL, 'us.census.acs.B14001005_quantile', 'us.census.acs.B14001005', 'quantile_source');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (202, NULL, NULL, 'us.census.acs.B15003017_quantile', 'us.census.acs.B15003017', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (203, NULL, NULL, 'us.census.acs.B15003019_quantile', 'us.census.acs.B15003019', 'quantile_source');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (214, NULL, NULL, 'us.census.acs.B19083001_quantile', 'us.census.acs.B19083001', 'quantile_source');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (221, NULL, NULL, 'us.census.acs.B25071001_quantile', 'us.census.acs.B25071001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (222, NULL, NULL, 'us.census.acs.B25075001_quantile', 'us.census.acs.B25075001', 'quantile_source');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (225, NULL, NULL, 'us.census.acs.B23008002_quantile', 'us.census.acs.B23008002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (226, NULL, NULL, 'us.census.acs.B23008003_quantile', 'us.census.acs.B23008003', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (227, NULL, NULL, 'us.census.acs.B23008004_quantile', 'us.census.acs.B23008004', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (228, NULL, NULL, 'us.census.acs.B23008005_quantile', 'us.census.acs.B23008005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (229, NULL, NULL, 'us.census.acs.B23008006_quantile', 'us.census.acs.B23008006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (230, NULL, NULL, 'us.census.acs.B23008007_quantile', 'us.census.acs.B23008007', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (231, NULL, NULL, 'us.census.acs.B23008008_quantile', 'us.census.acs.B23008008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (232, NULL, NULL, 'us.census.acs.B23008009_quantile', 'us.census.acs.B23008009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (233, NULL, NULL, 'us.census.acs.B15001027_quantile', 'us.census.acs.B15001027', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (234, NULL, NULL, 'us.census.acs.B01001015_quantile', 'us.census.acs.B01001015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (235, NULL, NULL, 'us.census.acs.B01001016_quantile', 'us.census.acs.B01001016', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (236, NULL, NULL, 'us.census.acs.B01001017_quantile', 'us.census.acs.B01001017', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (237, NULL, NULL, 'us.census.acs.B01001018_quantile', 'us.census.acs.B01001018', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (238, NULL, NULL, 'us.census.acs.B01001019_quantile', 'us.census.acs.B01001019', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (239, NULL, NULL, 'us.census.acs.B01001B012_quantile', 'us.census.acs.B01001B012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (240, NULL, NULL, 'us.census.acs.B01001B013_quantile', 'us.census.acs.B01001B013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (241, NULL, NULL, 'us.census.acs.B01001I012_quantile', 'us.census.acs.B01001I012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (242, NULL, NULL, 'us.census.acs.B01001I013_quantile', 'us.census.acs.B01001I013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (243, NULL, NULL, 'us.census.acs.B01001H012_quantile', 'us.census.acs.B01001H012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (244, NULL, NULL, 'us.census.acs.B01001H013_quantile', 'us.census.acs.B01001H013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (245, NULL, NULL, 'us.census.acs.B01001D012_quantile', 'us.census.acs.B01001D012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (246, NULL, NULL, 'us.census.acs.B01001D013_quantile', 'us.census.acs.B01001D013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (247, NULL, NULL, 'us.census.acs.B15001028_quantile', 'us.census.acs.B15001028', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (248, NULL, NULL, 'us.census.acs.B15001029_quantile', 'us.census.acs.B15001029', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (249, NULL, NULL, 'us.census.acs.B15001030_quantile', 'us.census.acs.B15001030', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (250, NULL, NULL, 'us.census.acs.B15001031_quantile', 'us.census.acs.B15001031', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (251, NULL, NULL, 'us.census.acs.B15001032_quantile', 'us.census.acs.B15001032', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (252, NULL, NULL, 'us.census.acs.B15001033_quantile', 'us.census.acs.B15001033', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (253, NULL, NULL, 'us.census.acs.B15001034_quantile', 'us.census.acs.B15001034', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (254, NULL, NULL, 'us.census.acs.B23008010_quantile', 'us.census.acs.B23008010', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (255, NULL, NULL, 'us.census.acs.B12005001_quantile', 'us.census.acs.B12005001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (256, NULL, NULL, 'us.census.acs.B12005002_quantile', 'us.census.acs.B12005002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (257, NULL, NULL, 'us.census.acs.B12005005_quantile', 'us.census.acs.B12005005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (258, NULL, NULL, 'us.census.acs.B12005008_quantile', 'us.census.acs.B12005008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (259, NULL, NULL, 'us.census.acs.B12005012_quantile', 'us.census.acs.B12005012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (260, NULL, NULL, 'us.census.acs.B12005015_quantile', 'us.census.acs.B12005015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (261, NULL, NULL, 'us.census.acs.B08134001_quantile', 'us.census.acs.B08134001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (262, NULL, NULL, 'us.census.acs.B08134002_quantile', 'us.census.acs.B08134002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (263, NULL, NULL, 'us.census.acs.B08134003_quantile', 'us.census.acs.B08134003', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (264, NULL, NULL, 'us.census.acs.B08134004_quantile', 'us.census.acs.B08134004', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (265, NULL, NULL, 'us.census.acs.B08134005_quantile', 'us.census.acs.B08134005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (266, NULL, NULL, 'us.census.acs.B08134006_quantile', 'us.census.acs.B08134006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (267, NULL, NULL, 'us.census.acs.B08134007_quantile', 'us.census.acs.B08134007', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (268, NULL, NULL, 'us.census.acs.B08134008_quantile', 'us.census.acs.B08134008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (269, NULL, NULL, 'us.census.acs.B08134009_quantile', 'us.census.acs.B08134009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (270, NULL, NULL, 'us.census.acs.B08134010_quantile', 'us.census.acs.B08134010', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (271, NULL, NULL, 'us.census.acs.B08135001_quantile', 'us.census.acs.B08135001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (272, NULL, NULL, 'us.census.acs.B19001002_quantile', 'us.census.acs.B19001002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (273, NULL, NULL, 'us.census.acs.B19001003_quantile', 'us.census.acs.B19001003', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (274, NULL, NULL, 'us.census.acs.B19001004_quantile', 'us.census.acs.B19001004', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (275, NULL, NULL, 'us.census.acs.B19001005_quantile', 'us.census.acs.B19001005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (276, NULL, NULL, 'us.census.acs.B19001006_quantile', 'us.census.acs.B19001006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (277, NULL, NULL, 'us.census.acs.B19001007_quantile', 'us.census.acs.B19001007', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (278, NULL, NULL, 'us.census.acs.B19001008_quantile', 'us.census.acs.B19001008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (279, NULL, NULL, 'us.census.acs.B19001009_quantile', 'us.census.acs.B19001009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (280, NULL, NULL, 'us.census.acs.B19001010_quantile', 'us.census.acs.B19001010', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (281, NULL, NULL, 'us.census.acs.B19001011_quantile', 'us.census.acs.B19001011', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (282, NULL, NULL, 'us.census.acs.B19001012_quantile', 'us.census.acs.B19001012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (283, NULL, NULL, 'us.census.acs.B19001013_quantile', 'us.census.acs.B19001013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (284, NULL, NULL, 'us.census.acs.B19001014_quantile', 'us.census.acs.B19001014', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (285, NULL, NULL, 'us.census.acs.B19001015_quantile', 'us.census.acs.B19001015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (286, NULL, NULL, 'us.census.acs.B19001016_quantile', 'us.census.acs.B19001016', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (287, NULL, NULL, 'us.census.acs.B19001017_quantile', 'us.census.acs.B19001017', 'quantile_source');
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_column_to_column SET SCHEMA observatory;

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CREATE TABLE obs_table(cartodb_id bigint, the_geom geometry, the_geom_webmercator geometry, id text, tablename text, timespan text, bounds text, description text, version text);
-- Commented out until somebody actually adds that fixture
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (1, NULL, NULL, 'us.census.spielman_singleton_segments.spielman_singleton_table_99914b932b', 'obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (2, NULL, NULL, 'us.census.acs.extract_block_group_5yr_2013_69b156927c', 'obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (3, NULL, NULL, 'us.census.tiger.sum_level_false_block_group_2013_5c764f39d2', 'obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (4, NULL, NULL, 'us.census.tiger.sum_level_false_census_tract_2013_c489085a44', 'obs_a92e1111ad3177676471d66bb8036e6d057f271b', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (5, NULL, NULL, 'us.ny.nyc.opendata.acris_master_99914b932b', 'obs_811c938d1307530a3db53fc69f11a2499174d224', '1966 - present', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (6, NULL, NULL, 'us.census.tiger.sum_level_false_county_2013_66804ade17', 'obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (7, NULL, NULL, 'us.census.tiger.sum_level_false_puma_2013_4a11a4ba96', 'obs_0008b162b516c295d7204c9ba043ab5dbc67c59c', '2013', 'BOX(-179.231086 13.182335,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (8, NULL, NULL, 'us.census.tiger.sum_level_true_state_2013_f1ab8fce27', 'obs_a20f5260b618a2fe2eb95fc1e23febe0db7db096', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (9, NULL, NULL, 'us.census.tiger.sum_level_true_county_2013_39133ea7a1', 'obs_23da37d4e66e9de2f525572967f8618bde99a8c0', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (10, NULL, NULL, 'us.census.tiger.sum_level_false_zcta5_2013_bf420fa8c1', 'obs_d483723c5cc76c107d9e0af279d1e7056df3c2be', '2013', 'BOX(-176.684744 -14.373765,145.830505 71.341324)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (11, NULL, NULL, 'us.census.tiger.sum_level_true_census_tract_2013_6a2cf9dee9', 'obs_d125aeef87aaa23287a40b454519ece22ee25acf', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (12, NULL, NULL, 'us.census.tiger.sum_level_true_block_group_2013_5ecb940395', 'obs_d610cb3225f282693b8d4dcd98d2c2e2078354c6', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (13, NULL, NULL, 'us.census.acs.extract_state_5yr_2013_c6cc7dd346', 'obs_92bdae84ae8d41fabca52500e4e1f55c394b696e', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (14, NULL, NULL, 'us.census.acs.extract_puma_5yr_2013_e9f0d7bc6c', 'obs_a875390344c7e36b72a8d6a3d25ae0f2bb41eaee', '2009 - 2013', 'BOX(-179.231086 13.182335,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (15, NULL, NULL, 'us.census.acs.extract_county_5yr_2013_5d7844896c', 'obs_75edf4ed5271a95f13755e9d06b80740b2fde0ba', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (16, NULL, NULL, 'us.census.acs.extract_zcta5_5yr_2013_dc39ebe0d5', 'obs_e99034a8fff4654142aed05d887f745a32cedc9f', '2009 - 2013', 'BOX(-176.684744 -14.373765,145.830505 71.341324)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (17, NULL, NULL, 'us.census.acs.extract_census_tract_5yr_2013_a0eee6bf1a', 'obs_ab038198aaab3f3cb055758638ee4de28ad70146', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (18, NULL, NULL, 'us.bls.raw_qcew_2013_dd20d99063', 'obs_530081a407e8793b7fef6666ebc46db0fcc9db2c', '2013', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (19, NULL, NULL, 'us.bls.naics_99914b932b', 'obs_609c848c80950261032da680294bb1e3ddcf43b6', NULL, 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (20, NULL, NULL, 'us.bls.simple_qcew_4_2013_94c2fc9ef1', 'obs_4560238b6b0050979ad151becc37c6eecfb7e6ad', '2013Q4', 'BOX(0 0,0 0)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (21, NULL, NULL, 'us.census.lodes.workplace_area_characteristics_2013_dd20d99063', 'obs_5bc83d67ea2863b1712078813a730eee753cf316', '2013', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (22, NULL, NULL, 'us.bls.qcew_4_2013_94c2fc9ef1', 'obs_5ed30fab78289e09c30cfd16981b8143ca8fdaa4', '2013Q4', 'BOX(0 0,0 0)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (23, NULL, NULL, 'us.ny.nyc.opendata.acris_legals_99914b932b', 'obs_fd0a697088f5ffcbe4641fb62ad6e2c74eed55d5', '', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (24, NULL, NULL, 'us.census.spielman_singleton_segments.create_spielman_singleton_table_99914b932b', 'obs_11ee8b82c877c073438bc935a91d3dfccef875d1', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 3);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (25, NULL, NULL, 'us.census.acs.quantiles_block_group_5yr_2013_69b156927c', 'obs_0932dc0392ca14a6b43e6e131943de9af2ee46b2', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (26, NULL, NULL, 'us.census.acs.quantiles_puma_5yr_2013_e9f0d7bc6c', 'obs_032792417d754aa7708d6ba716eb446904f12c46', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (27, NULL, NULL, 'us.census.acs.quantiles_census_tract_5yr_2013_a0eee6bf1a', 'obs_d34555209878e8c4b37cf0b2b3d072ff129ec470', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (28, NULL, NULL, 'us.census.tiger.sum_level_false_state_2013_0b919d8984', 'obs_f3f0912fe24bc0c976e837b5a116d0c803cc01ce', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (29, NULL, NULL, 'us.census.acs.quantiles_zcta5_5yr_2013_dc39ebe0d5', 'obs_a31255ed256a27d69a9ea777621ad218f6f1f030', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (30, NULL, NULL, 'us.census.acs.quantiles_state_5yr_2013_c6cc7dd346', 'obs_90e9293f578fab0bf2dabf5e387a57d9a2739a08', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (31, NULL, NULL, 'us.census.acs.quantiles_county_5yr_2013_5d7844896c', 'obs_98cefd377c2ff17a2d60b9a6fe090af629073ec4', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_table SET SCHEMA observatory;

44
src/pg/test/fixtures/obs_tag.sql vendored
View File

@ -1,44 +0,0 @@
--
-- PostgreSQL database dump
--
--
-- Name: obs_tag; Type: TABLE; Schema: observatory; Owner: cartodb_user_d377e55d-4326-4faf-97c7-503535e81667; Tablespace:
--
CREATE TABLE obs_tag (
cartodb_id integer NOT NULL,
the_geom public.geometry(Geometry,4326),
the_geom_webmercator public.geometry(Geometry,3857),
id text,
name text,
type text,
description text,
version double precision
);
--
-- Data for Name: obs_tag; Type: TABLE DATA; Schema: observatory; Owner: cartodb_user_d377e55d-4326-4faf-97c7-503535e81667
--
COPY obs_tag (cartodb_id, the_geom, the_geom_webmercator, id, name, type, description, version) FROM stdin;
1 \N \N us.census.acs.demographics US American Community Survey Demographics catalog Standard Demographic Data from the US American Community Survey 0
2 \N \N us.census.segments.families_with_young_children Families with young children (Under 6 years old) segment 0
3 \N \N us.census.segments.middle_aged_men Middle Aged Men (45 to 64 years old) segment 0
4 \N \N es.ine.demographics Demographics of Spain catalog Demographics of Spain from the INE Census 0
5 \N \N tags.transportation Transportation catalog How do people move from place to place? 1
6 \N \N tags.language Language catalog What languages do people speak? 1
7 \N \N tags.housing Housing catalog What type of housing exists and how do people live in it? 1
8 \N \N tags.denominator Denominator catalog Use these to provide a baseline for comparison between different areas. 1
9 \N \N tags.race_age_gender Race, Age and Gender catalog Basic demographic breakdowns. 1
10 \N \N tags.boundary Boundaries catalog Use these to provide regions for sound comparison and analysis. 1
11 \N \N tags.income_education_employment Income, Education and Employment catalog 1
12 \N \N tags.population Population catalog 1
\.
--
-- PostgreSQL database dump complete
--
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_tag SET SCHEMA observatory;

14
src/pg/test/sql/40_observatory_utility_test.sql
View File

@ -1,6 +1,6 @@
\i test/sql/load_fixtures.sql
\pset format unaligned
\set ECHO all
\i test/fixtures/load_fixtures.sql
-- OBS_GeomTable
-- get table with known geometry_id
@ -8,7 +8,8 @@
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'us.census.tiger.census_tract'
'us.census.tiger.census_tract',
'2014'
);
-- get null for unknown geometry_id
@ -39,11 +40,10 @@ SELECT
Array['us.census.tiger.census_tract_geoid', 'us.census.acs.B01001001'],
'2009 - 2013') a
)
select (expected)[1]::text = '{"colname":"geoid","tablename":"obs_d34555209878e8c4b37cf0b2b3d072ff129ec470","aggregate":null,"name":"US Census Tract Geoids","type":"Text","description":""}' as test_get_obs_column_with_geoid_and_census_1,
(expected)[2]::text = '{"colname":"geoid","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":null,"name":"US Census Tract Geoids","type":"Text","description":""}' as test_get_obs_column_with_geoid_and_census_2
select (expected)[1]::text = '{"colname":"geoid","tablename":"obs_d34555209878e8c4b37cf0b2b3d072ff129ec470","aggregate":null,"name":"US Census Tracts Geoids","type":"Text","description":null}' as test_get_obs_column_with_geoid_and_census_1,
(expected)[2]::text = '{"colname":"geoid","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":null,"name":"US Census Tracts Geoids","type":"Text","description":null}' as test_get_obs_column_with_geoid_and_census_2
from result;
-- should be null-valued
WITH result as (
SELECT
@ -80,4 +80,4 @@ SELECT cdb_observatory._OBS_GetRelatedColumn(
-- should give back a standardized measure name
SELECT cdb_observatory._OBS_StandardizeMeasureName('test 343 %% 2 qqq }}{{}}');
\i test/sql/drop_fixtures.sql
\i test/fixtures/drop_fixtures.sql

85
src/pg/test/sql/41_observatory_augmentation_test.sql
View File

@ -1,38 +1,41 @@
\i test/sql/load_fixtures.sql
\i test/fixtures/load_fixtures.sql
\pset format unaligned
\set ECHO none
--
WITH result as(
Select count(coalesce(OBS_GetDemographicSnapshot->>'value', 'foo')) expected_columns
FROM cdb_observatory.OBS_GetDemographicSnapshot(cdb_observatory._TestPoint())
) select expected_columns ='58' as OBS_GetDemographicSnapshot_test_no_returns
) select expected_columns ='59' as OBS_GetDemographicSnapshot_test_no_returns
FROM result;
--
-- names | vals
-- -----------|-------
-- gini_index | 0.3494
-- names | vals
-- --------------|-------
-- median_income | 45122
WITH result as (
SELECT _OBS_Get::text as expected FROM
cdb_observatory._OBS_Get(
cdb_observatory._TestPoint(),
Array['us.census.acs.B19083001']::text[],
'2009 - 2013',
Array['us.census.acs.B19013001']::text[],
'2010 - 2014',
'us.census.tiger.block_group'
)
) select expected = '{"value":0.3494,"name":"Gini Index","tablename":"obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb","aggregate":"","type":"Numeric","description":""}'
as OBS_Get_gini_index_at_test_point
from result;
) SELECT expected = '{"value":79292,"name":"Median Household Income in the past 12 Months","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"median","type":"Numeric","description":"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."}'
As OBS_Get_median_income_at_test_point
FROM result;
-- gini index at null island
-- median income at null island
WITH result as (
SELECT count(_OBS_Get) as expected FROM
cdb_observatory._OBS_Get(
ST_SetSRID(ST_Point(0, 0), 4326),
Array['us.census.acs.B19083001']::text[],
'2009 - 2013',
Array['us.census.acs.B19013001']::text[],
'2010 - 2014',
'us.census.tiger.block_group'
)
) select expected = 0 as OBS_Get_gini_index_at_null_island
) select expected = 0 as OBS_Get_median_income_at_null_island
from result;
-- OBS_GetPoints
@ -43,17 +46,17 @@ WITH result as (
SELECT
(cdb_observatory._OBS_GetPoints(
cdb_observatory._TestPoint(),
'obs_a92e1111ad3177676471d66bb8036e6d057f271b'::text, -- see example in obs_geomtable
(Array['{"colname":"total_pop","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json])
))[1]::text = '{"value":4809.07989821893,"name":"Total Population","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":"sum","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'
'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- block groups (see _obs_geomtable)
(Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json])
))[1]::text = '{"value":10923.093200390833950,"name":"Total Population","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'
as OBS_GetPoints_for_test_point;
-- what happens at null island
SELECT
(cdb_observatory._OBS_GetPoints(
ST_SetSRID(ST_Point(0, 0), 4326),
'obs_a92e1111ad3177676471d66bb8036e6d057f271b'::text, -- see example in obs_geomtable
(Array['{"colname":"total_pop","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json])
'obs_1a098da56badf5f32e336002b0a81708c40d29cd'::text, -- see example in obs_geomtable
(Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json])
))[1]::text is null
as OBS_GetPoints_for_null_island;
@ -65,24 +68,25 @@ SELECT
SELECT
(cdb_observatory._OBS_GetPolygons(
cdb_observatory._TestArea(),
'obs_a92e1111ad3177676471d66bb8036e6d057f271b'::text, -- see example in obs_geomtable
Array['{"colname":"total_pop","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json]
))[1]::text = '{"value":1570.78845496678,"name":"Total Population","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":"sum","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'
'obs_c6fb99c47d61289fbb8e561ff7773799d3fcc308'::text, -- see example in obs_geomtable
Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json]
))[1]::text = '{"value":12327.3133495107,"name":"Total Population","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'
as OBS_GetPolygons_for_test_point;
-- see what happens around null island
SELECT
(cdb_observatory._OBS_GetPolygons(
((cdb_observatory._OBS_GetPolygons(
ST_Buffer(ST_SetSRID(ST_Point(0, 0), 4326)::geography, 500)::geometry,
'obs_a92e1111ad3177676471d66bb8036e6d057f271b'::text, -- see example in obs_geomtable
Array['{"colname":"total_pop","tablename":"obs_ab038198aaab3f3cb055758638ee4de28ad70146","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json])
)[1]->>'value' is null
'obs_1a098da56badf5f32e336002b0a81708c40d29cd'::text, -- see example in obs_geomtable
Array['{"colname":"total_pop","tablename":"obs_1a098da56badf5f32e336002b0a81708c40d29cd","aggregate":"sum","name":"Total Population","type":"Numeric","description":"The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates."}'::json])
)[1]->>'value') is null
as OBS_GetPolygons_for_null_island;
SELECT cdb_observatory.OBS_GetSegmentSnapshot(
cdb_observatory._TestPoint(),
'us.census.tiger.census_tract'
)::text = '{"segment_name":"SS_segment_10_clusters","us.census.acs.B01001001_quantile":"0.234783783783784","us.census.acs.B01001002_quantile":"0.422405405405405","us.census.acs.B01001026_quantile":"0.0987567567567568","us.census.acs.B01002001_quantile":"0.0715","us.census.acs.B03002003_quantile":"0.295310810810811","us.census.acs.B03002004_quantile":"0.407189189189189","us.census.acs.B03002006_quantile":"0.625608108108108","us.census.acs.B03002012_quantile":"0.795202702702703","us.census.acs.B05001006_quantile":"0.703797297297297","us.census.acs.B08006001_quantile":"0.59227027027027","us.census.acs.B08006002_quantile":"0.0180540540540541","us.census.acs.B08006008_quantile":"0.993756756756757","us.census.acs.B08006009_quantile":"0.728162162162162","us.census.acs.B08006011_quantile":"0.995972972972973","us.census.acs.B08006015_quantile":"0.929135135135135","us.census.acs.B08006017_quantile":"0.625432432432432","us.census.acs.B09001001_quantile":"0.0386081081081081","us.census.acs.B11001001_quantile":"0.157121621621622","us.census.acs.B14001001_quantile":"0.241878378378378","us.census.acs.B14001002_quantile":"0.173783783783784","us.census.acs.B14001005_quantile":"0.0380675675675676","us.census.acs.B14001006_quantile":"0.0308108108108108","us.census.acs.B14001007_quantile":"0.0486216216216216","us.census.acs.B14001008_quantile":"0.479743243243243","us.census.acs.B15003001_quantile":"0.297675675675676","us.census.acs.B15003017_quantile":"0.190351351351351","us.census.acs.B15003022_quantile":"0.802513513513514","us.census.acs.B15003023_quantile":"0.757148648648649","us.census.acs.B16001001_quantile":"0.255405405405405","us.census.acs.B16001002_quantile":"0.196094594594595","us.census.acs.B16001003_quantile":"0.816851351351351","us.census.acs.B17001001_quantile":"0.252513513513514","us.census.acs.B17001002_quantile":"0.560054054054054","us.census.acs.B19013001_quantile":"0.777472972972973","us.census.acs.B19083001_quantile":"0.336932432432432","us.census.acs.B19301001_quantile":"0.655378378378378","us.census.acs.B25001001_quantile":"0.141810810810811","us.census.acs.B25002003_quantile":"0.362824324324324","us.census.acs.B25004002_quantile":"0.463837837837838","us.census.acs.B25004004_quantile":"0","us.census.acs.B25058001_quantile":"0.939040540540541","us.census.acs.B25071001_quantile":"0.419445945945946","us.census.acs.B25075001_quantile":"0.0387972972972973","us.census.acs.B25075025_quantile":"0"}' as test_point_segmentation;
)::text =
'{"segment_name":"Spielman-Singleton Segments: 10 Clusters","us.census.acs.B01001001_quantile":"0.234783783783784","us.census.acs.B01001002_quantile":"0.422405405405405","us.census.acs.B01001026_quantile":"0.0987567567567568","us.census.acs.B01002001_quantile":"0.0715","us.census.acs.B03002003_quantile":"0.295310810810811","us.census.acs.B03002004_quantile":"0.407189189189189","us.census.acs.B03002006_quantile":"0.625608108108108","us.census.acs.B03002012_quantile":"0.795202702702703","us.census.acs.B05001006_quantile":"0.703797297297297","us.census.acs.B08006001_quantile":"0.59227027027027","us.census.acs.B08006002_quantile":"0.0180540540540541","us.census.acs.B08006008_quantile":"0.993756756756757","us.census.acs.B08006009_quantile":"0.728162162162162","us.census.acs.B08006011_quantile":"0.995972972972973","us.census.acs.B08006015_quantile":"0.929135135135135","us.census.acs.B08006017_quantile":"0.625432432432432","us.census.acs.B09001001_quantile":"0.0386081081081081","us.census.acs.B11001001_quantile":"0.157121621621622","us.census.acs.B14001001_quantile":"0.241878378378378","us.census.acs.B14001002_quantile":"0.173783783783784","us.census.acs.B14001005_quantile":"0.0380675675675676","us.census.acs.B14001006_quantile":"0.0308108108108108","us.census.acs.B14001007_quantile":"0.0486216216216216","us.census.acs.B14001008_quantile":"0.479743243243243","us.census.acs.B15003001_quantile":"0.297675675675676","us.census.acs.B15003017_quantile":"0.190351351351351","us.census.acs.B15003022_quantile":"0.802513513513514","us.census.acs.B15003023_quantile":"0.757148648648649","us.census.acs.B16001001_quantile":"0.255405405405405","us.census.acs.B16001002_quantile":"0.196094594594595","us.census.acs.B16001003_quantile":"0.816851351351351","us.census.acs.B17001001_quantile":"0.252513513513514","us.census.acs.B17001002_quantile":"0.560054054054054","us.census.acs.B19013001_quantile":"0.777472972972973","us.census.acs.B19083001_quantile":"0.336932432432432","us.census.acs.B19301001_quantile":"0.655378378378378","us.census.acs.B25001001_quantile":"0.141810810810811","us.census.acs.B25002003_quantile":"0.362824324324324","us.census.acs.B25004002_quantile":"0.463837837837838","us.census.acs.B25004004_quantile":"0","us.census.acs.B25058001_quantile":"0.939040540540541","us.census.acs.B25071001_quantile":"0.419445945945946","us.census.acs.B25075001_quantile":"0.0387972972972973","us.census.acs.B25075025_quantile":"0"}' as test_point_segmentation;
-- segmentation around null island
SELECT cdb_observatory.OBS_GetSegmentSnapshot(
@ -98,8 +102,7 @@ WITH result as (
'us.census.tiger.census_tract'
)
)
select (expected)[1]::text = '{"category":"Wealthy, urban without Kids","name":"SS_segment_10_clusters","tablename":"obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d","aggregate":null,"type":"Text","description":"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters"}' as GetCategories_at_test_point_1,
(expected)[2]::text ='{"category":"Wealthy, urban without Kids","name":"SS_segment_10_clusters","tablename":"obs_11ee8b82c877c073438bc935a91d3dfccef875d1","aggregate":null,"type":"Text","description":"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters"}' as GetCategories_at_test_point_2
select (expected)[1]::text = '{"category":"Wealthy, urban without Kids","name":"Spielman-Singleton Segments: 10 Clusters","tablename":"obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d","aggregate":null,"type":"Text","description":"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters"}' as GetCategories_at_test_point_1
from result;
WITH result as (
@ -110,7 +113,7 @@ WITH result as (
'us.census.tiger.census_tract'
)
)
select expected is null as GetCategories_at_null_island
select expected[0] is NULL as GetCategories_at_null_island
from result;
-- Point-based OBS_GetMeasure, default normalization (area)
@ -118,32 +121,32 @@ SELECT * FROM
cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestPoint(),
'us.census.acs.B01001001'
);
) As t(OBS_GetMeasure_total_pop_point);
-- Poly-based OBS_GetMeasure, default normalization (none)
SELECT * FROM
cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestArea(),
'us.census.acs.B01001001'
);
) As t(OBS_GetMeasure_total_pop_polygon);
-- Point-based OBS_GetMeasure with denominator normalization
SELECT cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestPoint(),
'us.census.acs.B01001002', 'denominator');
'us.census.acs.B01001002', 'denominator') As OBS_GetMeasure_total_male_point_denominator;
-- Poly-based OBS_GetMeasure with denominator normalization
SELECT cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestArea(),
'us.census.acs.B01001002', 'denominator');
'us.census.acs.B01001002', 'denominator') As OBS_GetMeasure_total_male_poly_denominator;
-- Point-based OBS_GetCategory
SELECT cdb_observatory.OBS_GetCategory(
cdb_observatory._TestPoint(), 'us.census.spielman_singleton_segments.X10');
cdb_observatory._TestPoint(), 'us.census.spielman_singleton_segments.X10') As OBS_GetCategory_point;
-- Poly-based OBS_GetCategory
SELECT cdb_observatory.OBS_GetCategory(
cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10');
cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10') As obs_getcategory_polygon;
-- Point-based OBS_GetPopulation, default normalization (area)
SELECT * FROM
@ -155,11 +158,11 @@ SELECT * FROM
SELECT * FROM
cdb_observatory.OBS_GetPopulation(
cdb_observatory._TestArea()
);
) As obs_getpopulation_polygon;
-- Point-based OBS_GetUSCensusMeasure, default normalization (area)
SELECT cdb_observatory.obs_getuscensusmeasure(
cdb_observatory._testpoint(), 'male population');
cdb_observatory._testpoint(), 'male population') As obs_getuscensusmeasure_point_male_pop;
-- Poly-based OBS_GetUSCensusMeasure, default normalization (none)
SELECT cdb_observatory.obs_getuscensusmeasure(
@ -167,11 +170,11 @@ SELECT cdb_observatory.obs_getuscensusmeasure(
-- Point-based OBS_GetUSCensusCategory
SELECT cdb_observatory.OBS_GetUSCensusCategory(
cdb_observatory._testpoint(), 'SS Segment, 10 clusters');
cdb_observatory._testpoint(), 'Spielman-Singleton Segments: 10 Clusters');
-- Area-based OBS_GetUSCensusCategory
SELECT cdb_observatory.OBS_GetUSCensusCategory(
cdb_observatory._testarea(), 'SS Segment, 10 clusters');
cdb_observatory._testarea(), 'Spielman-Singleton Segments: 10 Clusters');
\i test/sql/drop_fixtures.sql
\i test/fixtures/drop_fixtures.sql

11
src/pg/test/sql/42_observatory_exploration_test.sql
View File

@ -1,4 +1,4 @@
\i test/sql/load_fixtures.sql
\i test/fixtures/load_fixtures.sql
\pset format unaligned
-- set up variables for use in testing
@ -9,12 +9,11 @@
-- _OBS_SearchTables tests
SELECT
t.table_name IN ('obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4',
'obs_23da37d4e66e9de2f525572967f8618bde99a8c0') As _OBS_SearchTables_tables_match,
t.timespan = '2013' As _OBS_SearchTables_timespan_matches
t.table_name As _OBS_SearchTables_tables_match,
t.timespan = '2014' As _OBS_SearchTables_timespan_matches
FROM cdb_observatory._OBS_SearchTables(
'us.census.tiger.county',
'2013'
'2014'
) As t(table_name, timespan);
-- _OBS_SearchTables tests
@ -29,4 +28,4 @@ SELECT cdb_observatory.OBS_Search('total_pop');
SELECT * from cdb_observatory.OBS_GetAvailableBoundaries(cdb_observatory._TestPoint());
\i test/sql/drop_fixtures.sql
\i test/fixtures/drop_fixtures.sql

27
src/pg/test/sql/44_observatory_geometries_test.sql
View File

File diff suppressed because one or more lines are too long

60
src/pg/test/sql/drop_fixtures.sql
View File

@ -1,60 +0,0 @@
SET client_min_messages TO NOTICE;
\set ECHO none
-- metadata
\echo Dropping obs_table.sql fixture table...
DROP TABLE observatory.obs_table;
\echo Done.
\echo Dropping obs_column.sql fixture table...
DROP TABLE observatory.obs_column;
\echo Done.
\echo Dropping obs_column_table.sql fixture table...
DROP TABLE observatory.obs_column_table;
\echo Done.
\echo Dropping obs_column_to_column.sql fixture table...
DROP TABLE observatory.obs_column_to_column;
\echo Done.
\echo Dropping obs_column_tag.sql fixture table...
DROP TABLE observatory.obs_column_tag;
\echo Done.
\echo Dropping obs_tag.sql fixture table...
DROP TABLE observatory.obs_tag;
\echo Done.
-- data
\echo Dropping obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1 fixture table...
DROP TABLE observatory.obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1;
\echo Done.
\echo Dropping obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb fixture table...
DROP TABLE observatory.obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb;
\echo Done.
\echo Dropping obs_ab038198aaab3f3cb055758638ee4de28ad70146 fixture table...
DROP TABLE observatory.obs_ab038198aaab3f3cb055758638ee4de28ad70146;
\echo Done.
\echo Dropping obs_a92e1111ad3177676471d66bb8036e6d057f271b fixture table...
DROP TABLE observatory.obs_a92e1111ad3177676471d66bb8036e6d057f271b;
\echo Done.
\echo Dropping obs_11ee8b82c877c073438bc935a91d3dfccef875d1 fixture table...
DROP TABLE observatory.obs_11ee8b82c877c073438bc935a91d3dfccef875d1;
\echo Done.
\echo Dropping obs_d34555209878e8c4b37cf0b2b3d072ff129ec470 fixture table...
DROP TABLE observatory.obs_d34555209878e8c4b37cf0b2b3d072ff129ec470;
\echo Done.
\echo Dropping obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4 fixture table...
DROP TABLE observatory.obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4;
\echo Done.
DROP TABLE observatory.obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d;
\unset ECHO

60
src/pg/test/sql/load_fixtures.sql
View File

@ -1,60 +0,0 @@
SET client_min_messages TO WARNING;
\set ECHO none
-- metadata
\echo Loading obs_table.sql fixture file...
\i test/fixtures/obs_table.sql
\echo Done.
\echo Loading obs_column.sql fixture file...
\i test/fixtures/obs_column.sql
\echo Done.
\echo Loading obs_column_table.sql fixture file...
\i test/fixtures/obs_column_table.sql
\echo Done.
\echo Loading obs_column_to_column.sql fixture file...
\i test/fixtures/obs_column_to_column.sql
\echo Done.
\echo Loading obs_column_tag.sql fixture file...
\i test/fixtures/obs_column_tag.sql
\echo Done.
\echo Loading obs_tag.sql fixture file...
\i test/fixtures/obs_tag.sql
\echo Done.
-- data
\echo Loading obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1.sql fixture file...
\i test/fixtures/obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1.sql
\echo Done.
\echo Loading obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb.sql fixture file...
\i test/fixtures/obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb.sql
\echo Done.
\echo Loading obs_ab038198aaab3f3cb055758638ee4de28ad70146.sql fixture file...
\i test/fixtures/obs_ab038198aaab3f3cb055758638ee4de28ad70146.sql
\echo Done.
\echo Loading obs_a92e1111ad3177676471d66bb8036e6d057f271b.sql fixture file...
\i test/fixtures/obs_a92e1111ad3177676471d66bb8036e6d057f271b.sql
\echo Done.
\echo Loading obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql fixture file...
\i test/fixtures/obs_11ee8b82c877c073438bc935a91d3dfccef875d1.sql
\echo Done.
\echo Loading obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql fixture file...
\i test/fixtures/obs_d34555209878e8c4b37cf0b2b3d072ff129ec470.sql
\echo Done.
\echo Loading obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4.sql fixture file...
\i test/fixtures/obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4.sql
\echo Done.
\i test/fixtures/obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d.sql
\unset ECHO