Merge branch 'QLIK' of github.com:CartoDB/observatory-extension into QLIK
This commit is contained in:
commit
0f588452e0
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-- Install dependencies
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-- Install dependencies
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CREATE EXTENSION postgis;
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CREATE EXTENSION postgis;
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CREATE EXTENSION plpythonu;
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CREATE EXTENSION cartodb;
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CREATE EXTENSION cartodb;
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-- Install the extension
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-- Install the extension
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CREATE EXTENSION observatory VERSION 'dev';
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CREATE EXTENSION observatory VERSION 'dev';
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961
src/pg/test/fixtures/obs_column.sql
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961
src/pg/test/fixtures/obs_column.sql
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--
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-- PostgreSQL database dump
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--
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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);
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INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (594, NULL, NULL, '"us.census.tiger".geom', 'Geometry', NULL, NULL, 0, NULL, '0', NULL);
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INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (796, NULL, NULL, '"us.ny.nyc.opendata".crfn', 'Text', 'City Reel File Number', NULL, 0, NULL, '3', NULL);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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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);
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||||||
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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.
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||||||
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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);
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||||||
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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.
|
||||||
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||||||
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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);
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||||||
|
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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (790, 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 (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 (210, 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 (211, 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 (212, 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 (213, 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 (214, 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 (215, 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 (216, 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 (217, 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 (218, 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 (219, 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 (220, 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 (221, 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 (222, 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 (223, 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 (224, 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 (225, 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 (226, 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 (227, 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 (228, 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 (229, 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 (230, 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 (231, 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 (232, 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 (209, NULL, NULL, '"us.census.acs"."us.census.acs".B01001D012_quant', 'Numeric', 'Quantile:Asian Men age 45 to 54', '', 0, 'quantile', '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_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 (234, 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 (791, 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 (792, 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 (235, 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 (236, 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 (237, 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 (238, 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 (239, 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 (240, 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 (242, 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 (243, 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 (244, 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 (245, 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 (246, 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 (247, 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 (248, 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 (249, 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 (250, 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 (251, 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 (252, 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 (253, 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 (254, 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 (255, 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 (256, 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 (257, 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 (258, 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 (259, 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 (260, 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 (261, 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 (262, 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 (263, 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 (423, 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 (264, 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 (265, 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 (266, 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 (267, 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 (268, 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 (269, 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 (270, 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 (271, 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 (272, 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 (273, 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 (274, 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 (275, 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 (276, 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 (277, 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 (278, 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 (279, 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 (280, 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 (281, 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 (282, 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 (283, 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 (413, 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 (284, 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 (285, 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 (286, 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 (287, 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 (288, 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 (289, 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 (290, 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 (291, 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 (292, 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 (293, 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 (294, 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 (295, 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 (296, 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 (297, 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 (298, 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 (299, 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 (300, 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 (301, 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 (302, 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 (303, 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 (304, 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 (305, 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 (306, 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 (307, 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 (308, 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 (309, 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 (310, 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 (311, 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 (312, 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 (313, 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 (314, 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 (315, 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 (316, 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 (317, 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 (318, 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 (319, 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 (320, 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 (321, 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 (322, 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 (323, 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 (324, 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 (325, 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 (326, 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 (327, 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 (328, 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 (329, 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 (330, 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 (331, 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 (332, 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 (333, 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 (334, 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 (335, 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 (336, 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 (337, 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 (338, 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 (339, 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 (340, 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 (341, 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 (342, 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 (343, 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 (393, 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 (344, 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 (345, 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 (346, 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 (347, 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 (348, 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 (349, 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 (350, 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 (351, 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 (352, 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 (353, 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 (354, 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 (355, 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 (356, 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 (357, 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 (358, 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 (359, 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 (360, 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 (361, 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 (362, 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 (363, 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 (364, 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 (365, 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 (366, 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 (367, 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 (394, 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 (368, 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 (369, 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 (370, 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 (371, 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 (372, 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 (373, 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 (374, 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 (375, 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 (376, 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 (377, 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 (378, 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 (379, 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 (380, 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 (381, 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 (382, 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 (383, 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 (619, 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 (384, 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 (385, 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 (386, 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 (387, 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 (388, 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 (389, 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 (390, 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 (391, 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 (392, 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 (793, 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 (395, 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 (396, 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 (397, 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 (398, 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 (399, 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 (400, 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 (401, 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 (402, 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 (403, 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 (404, 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 (405, 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 (406, 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 (407, 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 (408, 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 (409, 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 (410, 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 (411, 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 (412, 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 (414, 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 (415, 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 (416, 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".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 (418, 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 (419, 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 (420, 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 (421, 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 (422, 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 (424, 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 (425, 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 (426, 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 (427, 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 (428, 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 (429, 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 (430, 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 (431, 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 (432, 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 (433, 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 (434, 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 (435, 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 (436, 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 (437, 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 (438, 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 (439, 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 (440, 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 (441, 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 (442, 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 (443, 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 (444, 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 (445, 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 (446, 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 (447, 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 (448, 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 (449, 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 (450, 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 (451, 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 (452, 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 (453, 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 (454, 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 (455, 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 (456, 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 (457, 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 (458, 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 (459, 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 (460, 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 (461, 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 (462, 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 (463, 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 (464, 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 (465, 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 (466, 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 (467, 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 (468, 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 (469, 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 (470, 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 (471, 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 (472, 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 (473, 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 (474, 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 (475, 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 (476, 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 (477, 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 (478, 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 (479, 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 (480, 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 (481, 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 (482, 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 (483, 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 (484, 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 (485, 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 (515, 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 (486, 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 (487, 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 (488, 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 (489, 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 (490, 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 (491, 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 (492, 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 (493, 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 (494, 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 (495, 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 (496, 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 (497, 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 (498, 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 (499, 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 (500, 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 (501, 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 (502, 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 (504, 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 (505, 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 (506, 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 (507, 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 (508, 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 (509, 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 (510, 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 (511, 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 (512, 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 (513, 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 (514, 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 (516, 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 (517, 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 (518, 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 (519, 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 (520, 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 (521, 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 (522, 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 (523, 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 (524, 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 (525, 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 (526, 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 (527, 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 (528, 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 (529, 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 (530, 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 (531, 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 (532, 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 (533, 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 (534, 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 (535, 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 (536, 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 (537, 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 (538, 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 (539, 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 (540, 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 (541, 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 (542, 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 (543, 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 (544, 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 (545, 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 (546, 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 (547, 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 (548, 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 (549, 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 (550, 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 (551, 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 (552, 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 (553, 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 (554, 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 (555, 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 (556, 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 (557, 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 (558, 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 (559, 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 (560, 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 (561, 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 (620, 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 (562, 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 (563, 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 (564, 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 (888, NULL, NULL, '"us.census.acs"."us.census.acs".B01001I013_quantile', 'Numeric', 'Quantile:Hispanic Men age 55 to 64', '', 0, 'quantile', '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.census.acs"."us.census.acs".B01001I013_quant', 'Numeric', 'Quantile:Hispanic Men age 55 to 64', '', 0, 'quantile', '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".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 (567, 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 (568, 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 (569, 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 (570, 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 (571, 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 (572, 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 (573, 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 (574, 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 (575, 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 (576, 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 (577, 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 (578, 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 (579, 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 (580, 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 (581, 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 (582, 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 (583, 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 (584, 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 (585, 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 (586, 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 (587, 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 (588, 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 (589, 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 (590, 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 (591, 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 (592, 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 (593, 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 (595, 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 (596, 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 (597, 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 (598, 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 (599, 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 (600, 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 (601, 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 (602, 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 (603, 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 (604, 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 (605, 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 (606, 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 (607, 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 (608, 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 (609, 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 (610, 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 (611, 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 (612, 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 (613, 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 (614, 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 (615, 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 (616, 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 (617, 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 (618, 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 (621, 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 (622, 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 (623, 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 (624, 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 (625, 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 (626, 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 (627, 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 (628, 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 (629, 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 (630, 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 (631, 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 (632, 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 (633, 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 (634, 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 (635, 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 (636, 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 (637, 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 (638, 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 (639, 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 (640, 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 (641, 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 (642, 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 (643, 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 (644, 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 (645, 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 (646, 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 (647, 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 (648, 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 (649, 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 (650, 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 (651, 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 (652, 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 (653, 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 (654, 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 (655, 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 (656, 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 (657, 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 (658, 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 (659, 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 (660, 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 (661, 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 (662, 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 (663, 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 (664, 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 (710, NULL, NULL, '"us.census.acs"."us.census.acs".B19083001_quant', 'Numeric', 'Quantile:Gini Index', '', 0, 'quantile', '0', 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.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 (779, 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 (780, 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 (781, 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 (782, 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 (783, 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 (784, 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 (785, 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 (786, 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 (787, 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 (788, 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 (789, 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 (794, 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 (795, 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 (797, 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 (798, 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 (799, 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 (800, 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 (801, 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 (802, 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 (803, 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 (804, 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 (805, 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 (806, 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 (807, 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 (808, 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 (809, 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 (810, 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 (811, 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 (812, 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 (813, 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 (814, 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 (817, 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 (818, 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 (860, NULL, NULL, '"us.census.acs"."us.census.acs".B19083001_quantile', 'Numeric', 'Quantile:Gini Index', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (876, NULL, NULL, '"us.census.acs"."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', '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.census.acs"."us.census.acs".B01001D013_quant', 'Numeric', 'Quantile:Asian Men age 55 to 64', '', 0, 'quantile', '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.census.acs"."us.census.acs".B15001028_quant', 'Numeric', 'Quantile:Men age 45 to 64 who attained less than a 9th grade education', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (889, NULL, NULL, '"us.census.acs"."us.census.acs".B01001H012_quantile', 'Numeric', 'Quantile:White Men age 45 to 54', '', 0, 'quantile', '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.census.acs"."us.census.acs".B01001001_quant', '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', '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.census.acs"."us.census.acs".B01001002_quant', 'Numeric', 'Quantile:Male Population', 'The number of people within each geography who are male.', 0, 'quantile', '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.census.acs"."us.census.acs".B01001026_quant', 'Numeric', 'Quantile:Female Population', 'The number of people within each geography who are female.', 0, 'quantile', '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.census.acs"."us.census.acs".B01002001_quant', 'Numeric', 'Quantile:Median Age', 'The median age of all people in a given geographic area.', 0, 'quantile', '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.census.acs"."us.census.acs".B03002003_quant', 'Numeric', 'Quantile:White Population', 'The number of people identifying as white, non-Hispanic in each geography.', 0, 'quantile', '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.census.acs"."us.census.acs".B03002004_quant', 'Numeric', 'Quantile:Black or African American Population', 'The number of people identifying as black or African American, non-Hispanic in each geography.', 0, 'quantile', '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.census.acs"."us.census.acs".B03002006_quant', 'Numeric', 'Quantile:Asian Population', 'The number of people identifying as Asian, non-Hispanic in each geography.', 0, 'quantile', '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.census.acs"."us.census.acs".B03002012_quant', 'Numeric', 'Quantile:Hispanic Population', 'The number of people identifying as Hispanic or Latino in each geography.', 0, 'quantile', '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.census.acs"."us.census.acs".B03002005_quant', 'Numeric', 'Quantile:American Indian and Alaska Native Population', 'The number of people identifying as American Indian or Alaska native in each geography.', 0, 'quantile', '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.census.acs"."us.census.acs".B03002008_quant', 'Numeric', 'Quantile:Other Race population', 'The number of people identifying as another race in each geography', 0, 'quantile', '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.census.acs"."us.census.acs".B03002009_quant', 'Numeric', 'Quantile:Two or more races population', 'The number of people identifying as two or more races in each geography', 0, 'quantile', '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.census.acs"."us.census.acs".B03002002_quant', 'Numeric', 'Quantile:Population not Hispanic', 'The number of people not identifying as Hispanic or Latino in each geography.', 0, 'quantile', '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.acs"."us.census.acs".B05001006_quant', '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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (879, NULL, NULL, '"us.census.acs"."us.census.acs".B15001027_quantile', 'Numeric', 'Quantile:Men age 45 to 64 ("middle aged")', '0', 0, 'quantile', '0', NULL);
|
||||||
|
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.acs"."us.census.acs".B08006001_quant', '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', '0', 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.census.acs"."us.census.acs".B08006002_quant', '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', '0', 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.census.acs"."us.census.acs".B08006003_quant', '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', '0', 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.census.acs"."us.census.acs".B08006004_quant', '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', '0', 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.census.acs"."us.census.acs".B08006008_quant', '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', '0', 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"."us.census.acs".B01001B013_quant', 'Numeric', 'Quantile:Black Men age 55 to 64', '', 0, 'quantile', '0', 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"."us.census.acs".B01001I012_quant', 'Numeric', 'Quantile:Hispanic Men age 45 to 54', '', 0, 'quantile', '0', 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.census.acs"."us.census.acs".B08006009_quant', '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', '0', 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.census.acs"."us.census.acs".B08006011_quant', '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', '0', 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.census.acs"."us.census.acs".B08006015_quant', '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', '0', 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.census.acs"."us.census.acs".B08006017_quant', 'Numeric', 'Quantile:Worked at Home', 'The count within a geographical area of workers over the age of 16 who worked at home.', 0, 'quantile', '0', 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.census.acs"."us.census.acs".B09001001_quant', 'Numeric', 'Quantile:children under 18 Years of Age', 'The number of people within each geography who are under 18 years of age.', 0, 'quantile', '0', 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.census.acs"."us.census.acs".B11001001_quant', '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', '0', 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.census.acs"."us.census.acs".B14001001_quant', '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', '0', 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.census.acs"."us.census.acs".B14001002_quant', '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', '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.census.acs"."us.census.acs".B14001005_quant', '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', '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.census.acs"."us.census.acs".B14001006_quant', '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', '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.census.acs"."us.census.acs".B14001007_quant', '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', '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.census.acs"."us.census.acs".B14001008_quant', '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', '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.census.acs"."us.census.acs".B15003001_quant', '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', '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.census.acs"."us.census.acs".B15003017_quant', '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', '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.census.acs"."us.census.acs".B15003019_quant', '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', '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.acs"."us.census.acs".B15003020_quant', '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', '0', 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.acs"."us.census.acs".B15003021_quant', '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', '0', 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"."us.census.acs".B15003022_quant', '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', '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"."us.census.acs".B15003023_quant', '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', '0', 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"."us.census.acs".B16001001_quant', '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', '0', 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"."us.census.acs".B16001002_quant', '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', '0', 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"."us.census.acs".B16001003_quant', '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', '0', 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"."us.census.acs".B17001001_quant', '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', '0', 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"."us.census.acs".B01001H012_quant', 'Numeric', 'Quantile:White Men age 45 to 54', '', 0, 'quantile', '0', 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"."us.census.acs".B01001H013_quant', 'Numeric', 'Quantile:White Men age 55 to 64', '', 0, 'quantile', '0', 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"."us.census.acs".B17001002_quant', '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', '0', 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"."us.census.acs".B19013001_quant', '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', '0', 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"."us.census.acs".B19301001_quant', 'Numeric', 'Quantile:Per Capita Income in the past 12 Months', '', 0, 'quantile', '0', 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"."us.census.acs".B25001001_quant', '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', '0', 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"."us.census.acs".B25002003_quant', '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', '0', 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"."us.census.acs".B25004002_quant', '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', '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"."us.census.acs".B08134002_quant', '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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (890, NULL, NULL, '"us.census.acs"."us.census.acs".B01001H013_quantile', 'Numeric', 'Quantile:White Men age 55 to 64', '', 0, 'quantile', '0', 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"."us.census.acs".B25004004_quant', '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', '0', 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"."us.census.acs".B25058001_quant', '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', '0', 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"."us.census.acs".B25071001_quant', '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', '0', 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"."us.census.acs".B25075001_quant', 'Numeric', 'Quantile:Owner-occupied Housing Units', '', 0, 'quantile', '0', 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"."us.census.acs".B25075025_quant', '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', '0', 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"."us.census.acs".B08134009_quant', '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', '0', 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"."us.census.acs".B25081002_quant', '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', '0', 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"."us.census.acs".B23008002_quant', 'Numeric', 'Quantile:Families with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008003_quant', 'Numeric', 'Quantile:Two-parent families with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008004_quant', 'Numeric', 'Quantile:Two-parent families, both parents in labor force with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008005_quant', 'Numeric', 'Quantile:Two-parent families, father only in labor force with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008006_quant', 'Numeric', 'Quantile:Two-parent families, mother only in labor force with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008007_quant', 'Numeric', 'Quantile:Two-parent families, neither parent in labor force with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008008_quant', 'Numeric', 'Quantile:One-parent families with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B23008009_quant', 'Numeric', 'Quantile:One-parent families, father, with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B15001027_quant', 'Numeric', 'Quantile:Men age 45 to 64 ("middle aged")', '0', 0, 'quantile', '0', 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"."us.census.acs".B01001015_quant', 'Numeric', 'Quantile:Men age 45 to 49', '', 0, 'quantile', '0', 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"."us.census.acs".B01001016_quant', 'Numeric', 'Quantile:Men age 50 to 54', '', 0, 'quantile', '0', 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"."us.census.acs".B01001017_quant', 'Numeric', 'Quantile:Men age 55 to 59', '', 0, 'quantile', '0', 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"."us.census.acs".B01001018_quant', 'Numeric', 'Quantile:Men age 60 to 61', '', 0, 'quantile', '0', 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"."us.census.acs".B01001019_quant', 'Numeric', 'Quantile:Men age 62 to 64', '', 0, 'quantile', '0', 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"."us.census.acs".B01001B012_quant', 'Numeric', 'Quantile:Black Men age 45 to 54', '', 0, 'quantile', '0', 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"."us.census.acs".B15001029_quant', 'Numeric', 'Quantile:Men age 45 to 64 who attained between 9th and 12th grade, no diploma', '', 0, 'quantile', '0', 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"."us.census.acs".B15001030_quant', 'Numeric', 'Quantile:Men age 45 to 64 who completed high school or obtained GED', '', 0, 'quantile', '0', 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"."us.census.acs".B15001031_quant', 'Numeric', 'Quantile:Men age 45 to 64 who completed some college, no degree', '', 0, 'quantile', '0', 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"."us.census.acs".B15001032_quant', 'Numeric', 'Quantile:Men age 45 to 64 who obtained an associate''s degree', '', 0, 'quantile', '0', 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"."us.census.acs".B15001033_quant', 'Numeric', 'Quantile:Men age 45 to 64 who obtained a bachelor''s degree', '', 0, 'quantile', '0', 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"."us.census.acs".B15001034_quant', 'Numeric', 'Quantile:Men age 45 to 64 who obtained a graduate or professional degree', '', 0, 'quantile', '0', 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"."us.census.acs".B23008010_quant', 'Numeric', 'Quantile:One-parent families, father in labor force, with young children (under 6 years of age)', '', 0, 'quantile', '0', 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"."us.census.acs".B12005001_quant', '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', '0', 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"."us.census.acs".B12005002_quant', 'Numeric', 'Quantile:Never Married', 'The number of people in a geographic area who have never been married.', 0, 'quantile', '0', 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"."us.census.acs".B12005005_quant', 'Numeric', 'Quantile:Currently married', 'The number of people in a geographic area who are currently married', 0, 'quantile', '0', 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"."us.census.acs".B12005008_quant', 'Numeric', 'Quantile:Married but separated', 'The number of people in a geographic area who are married but separated', 0, 'quantile', '0', 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"."us.census.acs".B12005012_quant', 'Numeric', 'Quantile:Widowed', 'The number of people in a geographic area who are widowed', 0, 'quantile', '0', 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"."us.census.acs".B12005015_quant', 'Numeric', 'Quantile:Divorced', 'The number of people in a geographic area who are divorced', 0, 'quantile', '0', 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"."us.census.acs".B08134001_quant', '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', '0', 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"."us.census.acs".B08134003_quant', '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', '0', 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"."us.census.acs".B08134004_quant', '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', '0', 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"."us.census.acs".B08134005_quant', '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', '0', 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"."us.census.acs".B08134006_quant', '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', '0', 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"."us.census.acs".B08134007_quant', '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', '0', 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"."us.census.acs".B08134008_quant', '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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (830, NULL, NULL, '"us.census.acs"."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', '0', 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"."us.census.acs".B08134010_quant', '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', '0', 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"."us.census.acs".B08135001_quant', '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', '0', 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"."us.census.acs".B19001002_quant', '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', '0', 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"."us.census.acs".B19001003_quant', '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', '0', 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"."us.census.acs".B19001004_quant', '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', '0', 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"."us.census.acs".B19001005_quant', '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', '0', 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"."us.census.acs".B19001006_quant', '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', '0', 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"."us.census.acs".B19001007_quant', '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', '0', 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"."us.census.acs".B19001008_quant', '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', '0', 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"."us.census.acs".B19001009_quant', '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', '0', 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"."us.census.acs".B19001010_quant', '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', '0', 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"."us.census.acs".B19001011_quant', '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', '0', 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"."us.census.acs".B19001012_quant', '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', '0', 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"."us.census.acs".B19001013_quant', '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', '0', 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"."us.census.acs".B19001014_quant', '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', '0', 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"."us.census.acs".B19001015_quant', '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', '0', 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"."us.census.acs".B19001016_quant', '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', '0', 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"."us.census.acs".B19001017_quant', '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', '0', 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"."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', '0', 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"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (819, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (820, NULL, NULL, '"us.census.acs"."us.census.acs".B01001002_quantile', 'Numeric', 'Quantile:Male Population', 'The number of people within each geography who are male.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (821, NULL, NULL, '"us.census.acs"."us.census.acs".B01001026_quantile', 'Numeric', 'Quantile:Female Population', 'The number of people within each geography who are female.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (822, NULL, NULL, '"us.census.acs"."us.census.acs".B01002001_quantile', 'Numeric', 'Quantile:Median Age', 'The median age of all people in a given geographic area.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (823, NULL, NULL, '"us.census.acs"."us.census.acs".B03002003_quantile', 'Numeric', 'Quantile:White Population', 'The number of people identifying as white, non-Hispanic in each geography.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (824, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (825, NULL, NULL, '"us.census.acs"."us.census.acs".B03002006_quantile', 'Numeric', 'Quantile:Asian Population', 'The number of people identifying as Asian, non-Hispanic in each geography.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (826, NULL, NULL, '"us.census.acs"."us.census.acs".B03002012_quantile', 'Numeric', 'Quantile:Hispanic Population', 'The number of people identifying as Hispanic or Latino in each geography.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (827, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (828, NULL, NULL, '"us.census.acs"."us.census.acs".B03002008_quantile', 'Numeric', 'Quantile:Other Race population', 'The number of people identifying as another race in each geography', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (829, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (831, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (832, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (833, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (834, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (835, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (836, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (837, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (838, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (839, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (840, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (841, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (842, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (843, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (844, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (845, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (846, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (847, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (848, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (849, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (871, NULL, NULL, '"us.census.acs"."us.census.acs".B23008002_quantile', 'Numeric', 'Quantile:Families with young children (under 6 years of age)', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (850, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (851, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (852, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (853, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (854, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (855, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (856, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (857, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (858, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (859, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (861, NULL, NULL, '"us.census.acs"."us.census.acs".B19301001_quantile', 'Numeric', 'Quantile:Per Capita Income in the past 12 Months', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (862, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (863, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (864, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (865, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (866, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (867, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (868, NULL, NULL, '"us.census.acs"."us.census.acs".B25075001_quantile', 'Numeric', 'Quantile:Owner-occupied Housing Units', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (869, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (870, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (872, NULL, NULL, '"us.census.acs"."us.census.acs".B23008003_quantile', 'Numeric', 'Quantile:Two-parent families with young children (under 6 years of age)', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (873, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (874, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (875, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (877, NULL, NULL, '"us.census.acs"."us.census.acs".B23008008_quantile', 'Numeric', 'Quantile:One-parent families with young children (under 6 years of age)', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (878, NULL, NULL, '"us.census.acs"."us.census.acs".B23008009_quantile', 'Numeric', 'Quantile:One-parent families, father, with young children (under 6 years of age)', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (880, NULL, NULL, '"us.census.acs"."us.census.acs".B01001015_quantile', 'Numeric', 'Quantile:Men age 45 to 49', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (881, NULL, NULL, '"us.census.acs"."us.census.acs".B01001016_quantile', 'Numeric', 'Quantile:Men age 50 to 54', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (882, NULL, NULL, '"us.census.acs"."us.census.acs".B01001017_quantile', 'Numeric', 'Quantile:Men age 55 to 59', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (883, NULL, NULL, '"us.census.acs"."us.census.acs".B01001018_quantile', 'Numeric', 'Quantile:Men age 60 to 61', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (884, NULL, NULL, '"us.census.acs"."us.census.acs".B01001019_quantile', 'Numeric', 'Quantile:Men age 62 to 64', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (885, NULL, NULL, '"us.census.acs"."us.census.acs".B01001B012_quantile', 'Numeric', 'Quantile:Black Men age 45 to 54', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (886, NULL, NULL, '"us.census.acs"."us.census.acs".B01001B013_quantile', 'Numeric', 'Quantile:Black Men age 55 to 64', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (887, NULL, NULL, '"us.census.acs"."us.census.acs".B01001I012_quantile', 'Numeric', 'Quantile:Hispanic Men age 45 to 54', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (891, NULL, NULL, '"us.census.acs"."us.census.acs".B01001D012_quantile', 'Numeric', 'Quantile:Asian Men age 45 to 54', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (892, NULL, NULL, '"us.census.acs"."us.census.acs".B01001D013_quantile', 'Numeric', 'Quantile:Asian Men age 55 to 64', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (893, NULL, NULL, '"us.census.acs"."us.census.acs".B15001028_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who attained less than a 9th grade education', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (894, NULL, NULL, '"us.census.acs"."us.census.acs".B15001029_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who attained between 9th and 12th grade, no diploma', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (895, NULL, NULL, '"us.census.acs"."us.census.acs".B15001030_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who completed high school or obtained GED', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (896, NULL, NULL, '"us.census.acs"."us.census.acs".B15001031_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who completed some college, no degree', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (897, NULL, NULL, '"us.census.acs"."us.census.acs".B15001032_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who obtained an associate''s degree', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (898, NULL, NULL, '"us.census.acs"."us.census.acs".B15001033_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who obtained a bachelor''s degree', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (899, NULL, NULL, '"us.census.acs"."us.census.acs".B15001034_quantile', 'Numeric', 'Quantile:Men age 45 to 64 who obtained a graduate or professional degree', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (900, NULL, NULL, '"us.census.acs"."us.census.acs".B23008010_quantile', 'Numeric', 'Quantile:One-parent families, father in labor force, with young children (under 6 years of age)', '', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (901, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (902, NULL, NULL, '"us.census.acs"."us.census.acs".B12005002_quantile', 'Numeric', 'Quantile:Never Married', 'The number of people in a geographic area who have never been married.', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (903, NULL, NULL, '"us.census.acs"."us.census.acs".B12005005_quantile', 'Numeric', 'Quantile:Currently married', 'The number of people in a geographic area who are currently married', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (904, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (905, NULL, NULL, '"us.census.acs"."us.census.acs".B12005012_quantile', 'Numeric', 'Quantile:Widowed', 'The number of people in a geographic area who are widowed', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (906, NULL, NULL, '"us.census.acs"."us.census.acs".B12005015_quantile', 'Numeric', 'Quantile:Divorced', 'The number of people in a geographic area who are divorced', 0, 'quantile', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (907, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (908, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (909, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (910, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (911, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (912, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (913, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (914, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (915, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (916, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (917, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (918, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (919, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (920, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (921, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (922, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (923, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (924, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (925, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (926, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (927, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (928, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (929, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (930, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (931, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (932, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
INSERT INTO obs_column (cartodb_id, the_geom, the_geom_webmercator, id, type, name, description, weight, aggregate, version, extra) VALUES (933, NULL, NULL, '"us.census.acs"."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', '0', NULL);
|
||||||
|
|
||||||
|
|
||||||
|
CREATE SCHEMA IF NOT EXISTS observatory;
|
||||||
|
ALTER TABLE obs_column SET SCHEMA observatory;
|
1462
src/pg/test/fixtures/obs_column_table.sql
vendored
Normal file
1462
src/pg/test/fixtures/obs_column_table.sql
vendored
Normal file
File diff suppressed because it is too large
Load Diff
40
src/pg/test/fixtures/obs_table.sql
vendored
Normal file
40
src/pg/test/fixtures/obs_table.sql
vendored
Normal file
@ -0,0 +1,40 @@
|
|||||||
|
--
|
||||||
|
-- PostgreSQL database dump
|
||||||
|
--
|
||||||
|
|
||||||
|
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);
|
||||||
|
|
||||||
|
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.acs".quantiles_census_tract_5yr_2013_a0eee6bf1a', 'obs_d34555209878e8c4b37cf0b2b3d072ff129ec470', '2009 - 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 (5, 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 (6, 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 (7, 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 (8, 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 (9, 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 (10, 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 (11, 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 (12, 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 (20, 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 (13, 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 (14, 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 (15, 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 (16, 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 (17, 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 (18, 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 (19, 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 (21, 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 (22, 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 (23, 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 (24, 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 (25, 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 (26, 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 (27, NULL, NULL, '"us.census.acs".quantiles_county_5yr_2013_5d7844896c', 'obs_98cefd377c2ff17a2d60b9a6fe090af629073ec4', '2009 - 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 (28, NULL, NULL, '"us.census.acs".quantiles_puma_5yr_2013_e9f0d7bc6c', 'obs_032792417d754aa7708d6ba716eb446904f12c46', '2009 - 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 (29, NULL, NULL, '"us.census.acs".quantiles_state_5yr_2013_c6cc7dd346', 'obs_90e9293f578fab0bf2dabf5e387a57d9a2739a08', '2009 - 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 (30, NULL, NULL, '"us.census.acs".quantiles_zcta5_5yr_2013_dc39ebe0d5', 'obs_a31255ed256a27d69a9ea777621ad218f6f1f030', '2009 - 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 (31, NULL, NULL, '"us.census.acs".quantiles_block_group_5yr_2013_69b156927c', 'obs_0932dc0392ca14a6b43e6e131943de9af2ee46b2', '2009 - 2013', 'BOX(0 0,0 0)', NULL, '2');
|
||||||
|
|
||||||
|
CREATE SCHEMA IF NOT EXISTS observatory;
|
||||||
|
ALTER TABLE obs_table SET SCHEMA observatory;
|
@ -1,5 +1,6 @@
|
|||||||
-- Install dependencies
|
-- Install dependencies
|
||||||
CREATE EXTENSION postgis;
|
CREATE EXTENSION postgis;
|
||||||
|
CREATE EXTENSION plpythonu;
|
||||||
CREATE EXTENSION cartodb;
|
CREATE EXTENSION cartodb;
|
||||||
|
|
||||||
-- Install the extension
|
-- Install the extension
|
||||||
|
Loading…
Reference in New Issue
Block a user