United States

United States Census 2020 + ACS 2022 USA-CENSUS-2020 Census

3,273 rows · 4 table(s) · 2020 U.S. Census Bureau 0 1 2 3 64 SEL 20 CCL 10 ext ▶

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0 Admin 0 — 1 table(s)

USA Census 2020 - National Level — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (24)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`NAME`	NAME	string	SEL	0%	-	United States
`total_population`	total population	integer	SEL	0%	-	331449281
`median_age`	median age	integer	SEL	0%	-	38
`median_household_income`	median household income	integer	SEL	0%	-	75149
`per_capita_income`	per capita income	integer	SEL	0%	-	41261
`median_home_value`	median home value	integer	SEL	0%	-	281900
`median_gross_rent`	median gross rent	integer	SEL	0%	-	1268
`bachelors_degree`	bachelors degree	integer	SEL	0%	-	47391673
`masters_degree`	masters degree	integer	SEL	0%	-	21693046
`doctoral_degree`	doctoral degree	integer	SEL	0%	-	3546641
`civilian_labor_force`	civilian labor force	integer	SEL	0%	-	167857207
`unemployed`	unemployed	integer	SEL	0%	-	8944003
`population_one_race_white`	population one race white	integer	SEL	0%	-	204277273
`population_one_race_black`	population one race black	integer	SEL	0%	-	41104200
`population_one_race_aian`	population one race aian	integer	SEL	0%	-	3727135
`population_one_race_asian`	population one race asian	integer	SEL	0%	-	19886049
`population_one_race_nhpi`	population one race nhpi	integer	SEL	0%	-	689966
`population_one_race_other`	population one race other	integer	SEL	0%	-	27915715
`population_two_or_more_races`	population two or more races	integer	SEL	0%	-	33848943
`total_population_18_over`	total population 18 over	integer	SEL	0%	-	258343281
`total_population_hispanic`	total population hispanic	integer	SEL	0%	-	258343281
`population_not_hispanic`	population not hispanic	integer	SEL	0%	-	215020489
`housing_units_occupied`	housing units occupied	integer	SEL	0%	-	126817580
`housing_units_vacant`	housing units vacant	integer	SEL	0%	-	13681156

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`total_housing_units`	total_housing_units	integer	0%	-	140498736
`housing_occupied`	housing_occupied	integer	0%	-	125736353
`housing_vacant`	housing_vacant	integer	0%	-	15207260
`income_below_poverty`	income_below_poverty	integer	0%	-	40521584
`median_year_structure_built`	median_year_structure_built	integer	0%	-	1979
`us`	us	string	0%	-	1
`population_hispanic`	population_hispanic	integer	0%	-	43322792

1 Admin 1 — 1 table(s)

USA Census 2020 - State Level — 52 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (30)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`NAME`	NAME	string	SEL	0%	-	Pennsylvania, California, West Virginia, Utah, New York
`total_population`	total population	integer	SEL	0%	-	13002700, 39538223, 1793716, 3271616, 20201249
`median_age`	median age	integer	SEL	0%	-	40, 37, 42, 31, 39
`median_household_income`	median household income	integer	SEL	0%	-	73170, 91905, 55217, 86833, 81386
`per_capita_income`	per capita income	integer	SEL	0%	-	41234, 45591, 31462, 37023, 47173
`total_housing_units`	total housing units	integer	SEL	0%	-	5742828, 14392140, 855635, 1151414, 8488066
`housing_occupied`	housing occupied	integer	SEL	0%	-	5193727, 13315822, 716040, 1062819, 7604523
`housing_vacant`	housing vacant	integer	SEL	0%	-	560181, 1108620, 143102, 99835, 889929
`median_home_value`	median home value	integer	SEL	0%	-	226200, 659300, 145800, 408500, 384100
`median_gross_rent`	median gross rent	integer	SEL	0%	-	1110, 1856, 831, 1302, 1507
`bachelors_degree`	bachelors degree	integer	SEL	0%	-	1844355, 5935292, 171758, 468541, 3033763
`masters_degree`	masters degree	integer	SEL	0%	-	884422, 2515475, 84486, 173551, 1731771
`doctoral_degree`	doctoral degree	integer	SEL	0%	-	152773, 488925, 14085, 29475, 238322
`civilian_labor_force`	civilian labor force	integer	SEL	0%	-	6680740, 20011853, 783715, 1696258, 10253938
`unemployed`	unemployed	integer	SEL	0%	-	358729, 1282055, 47503, 56860, 638401
`income_below_poverty`	income below poverty	integer	SEL	0%	-	1482439, 4685272, 291860, 275188, 2655662
`median_year_structure_built`	median year structure built	integer	SEL	0%	-	1964, 1976, 1975, 1990, 1958
`population_one_race_white`	population one race white	integer	CCL	0%	-	9750687, 16296122, 1610749, 2573413, 11143349
`population_one_race_black`	population one race black	integer	CCL	0%	-	1423169, 2237044, 65813, 40058, 2986172
`population_one_race_aian`	population one race aian	integer	CCL	0%	-	31052, 631016, 3706, 41644, 149690
`population_one_race_asian`	population one race asian	integer	CCL	0%	-	510501, 6085947, 15109, 80438, 1933127
`population_one_race_nhpi`	population one race nhpi	integer	CCL	0%	-	4276, 157263, 476, 36930, 10815
`population_one_race_other`	population one race other	integer	CCL	0%	-	508531, 8370596, 12919, 220120, 2210633
`population_two_or_more_races`	population two or more races	integer	CCL	0%	-	774484, 5760235, 84944, 279013, 1767463
`total_population_18_over`	total population 18 over	integer	SEL	0%	-	10353548, 30827105, 1432932, 2324051, 16088135
`total_population_hispanic`	total population hispanic	integer	CCL	0%	-	10353548, 30827105, 1432932, 2324051, 16088135
`population_hispanic`	population hispanic	integer	CCL	0%	-	704258, 11083294, 23483, 316610, 2925886
`population_not_hispanic`	population not hispanic	integer	CCL	0%	-	9649290, 19743811, 1409449, 2007441, 13162249
`housing_units_occupied`	housing units occupied	integer	SEL	0%	-	5210598, 13475623, 743442, 1057252, 7715172
`housing_units_vacant`	housing units vacant	integer	SEL	0%	-	532230, 916517, 112193, 94162, 772894

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state`	state	string	0%	-	42, 06, 54, 49, 36

2 Admin 2 — 1 table(s)

USA Census 2020 - County Level — 3,221 rows, 32 columns

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Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (30)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`NAME`	NAME	string	SEL	0%	-	Autauga County, Alabama, Baldwin County, Alabama,...
`total_population`	total population	integer	SEL	0%	-	58805, 231767, 25223, 22293, 59134
`median_age`	median age	integer	SEL	0%	-	39, 43, 40, 40, 40
`median_household_income`	median household income	integer	SEL	0%	-	68315, 71039, 39712, 50669, 57440
`per_capita_income`	per capita income	integer	SEL	0%	-	35332, 38907, 23378, 24966, 29053
`total_housing_units`	total housing units	integer	SEL	0%	-	24350, 124148, 11618, 9002, 24622
`housing_occupied`	housing occupied	integer	SEL	0%	-	22308, 90802, 9016, 7216, 21626
`housing_vacant`	housing vacant	integer	SEL	0%	-	2149, 34311, 2657, 1830, 3051
`median_home_value`	median home value	integer	SEL	0%	-	191800, 266000, 102700, 120100, 159800
`median_gross_rent`	median gross rent	integer	SEL	0%	-	1199, 1160, 627, 765, 734
`bachelors_degree`	bachelors degree	integer	SEL	0%	-	6726, 33474, 1167, 1047, 3840
`masters_degree`	masters degree	integer	SEL	0%	-	4014, 15077, 640, 507, 1751
`doctoral_degree`	doctoral degree	integer	SEL	0%	-	437, 2351, 105, 76, 156
`civilian_labor_force`	civilian labor force	integer	SEL	0%	-	27163, 111079, 8968, 9028, 26434
`unemployed`	unemployed	integer	SEL	0%	-	752, 3825, 516, 786, 1578
`income_below_poverty`	income below poverty	integer	SEL	0%	-	6630, 23445, 5280, 4297, 8277
`median_year_structure_built`	median year structure built	integer	SEL	0%	-	1992, 1997, 1981, 1984, 1988
`population_one_race_white`	population one race white	integer	CCL	0%	-	42160, 189399, 11317, 16555, 50663
`population_one_race_black`	population one race black	integer	CCL	0%	-	11445, 18217, 11933, 4413, 845
`population_one_race_aian`	population one race aian	integer	CCL	0%	-	217, 1582, 116, 60, 337
`population_one_race_asian`	population one race asian	integer	CCL	0%	-	881, 2067, 117, 32, 178
`population_one_race_nhpi`	population one race nhpi	integer	CCL	0%	-	35, 143, 1, 9, 24
`population_one_race_other`	population one race other	integer	CCL	0%	-	910, 5335, 1039, 465, 3431
`population_two_or_more_races`	population two or more races	integer	CCL	0%	-	3157, 15024, 700, 759, 3656
`total_population_18_over`	total population 18 over	integer	SEL	0%	-	44523, 182471, 20134, 17533, 45403
`total_population_hispanic`	total population hispanic	integer	CCL	0%	-	44523, 182471, 20134, 17533, 45403
`population_hispanic`	population hispanic	integer	CCL	0%	-	1339, 8197, 934, 463, 3534
`population_not_hispanic`	population not hispanic	integer	CCL	0%	-	43184, 174274, 19200, 17070, 41869
`housing_units_occupied`	housing units occupied	integer	SEL	0%	-	22412, 93116, 9677, 7927, 22367
`housing_units_vacant`	housing units vacant	integer	SEL	0%	-	1938, 31032, 1941, 1075, 2255

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state`	state	string	0%	-	01, 01, 01, 01, 01
`county`	county	string	0%	-	001, 003, 005, 007, 009

3 Admin 3 — 1 table(s)

USA Census 2020 - Tract Level — 85,395 rows, 33 columns

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Field details — 0 fields (type, nulls, unique, samples)

USA School District Profiles (NCES) USA-SCHOOL-DISTRICTS Education

19,874 rows · 1 table(s) · 2024 NCES CCD/F-33/EdFacts 0 1 2 3 2 SEL 15 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

3 Admin 3 — 1 table(s)

USA School District Profiles (NCES) — 19,874 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`leaid`	Admin code	float	SEL	0%	100	0100002, 0100005, 0100006, 0100007, 0100008
`district_name`	Admin name	string	SEL	0%	100	Alabama Youth Services, Albertville City, Marshall...

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state`	state	string	0%	1	AL, AL, AL, AL, AL
`state_fips`	state_fips	float	0%	1	01, 01, 01, 01, 01
`county_fips`	county_fips	float	0%	55	01101, 01095, 01095, 01073, 01089
`city`	city	string	0%	82	Mt Meigs, Albertville, Guntersville, Hoover, Madison
`zip`	zip	float	0%	88	36057, 35950, 35976, 35243, 35758
`lat`	lat	string	0%	1	, , , ,
`lon`	lon	string	0%	1	, , , ,
`enrollment`	enrollment	string	0%	95	, 5900, 5951, 13557, 12473
`teachers`	teachers	string	0%	1	, , , ,
`per_pupil_spending`	per_pupil_spending	integer	6%	94	13794, 14746, 15545, 15139, 12842
`per_pupil_instruction`	per_pupil_instruction	integer	6%	94	6277, 7065, 8516, 6830, 6883
`exp_total`	exp_total	float	6%	94	81386000.0, 87755000.0, 210750000.0, 188825000.0, 28548000.0
`rev_total`	rev_total	float	6%	94	90930000.0, 87722000.0, 229684000.0, 207095000.0, 33785000.0
`math_proficiency_pct`	math_proficiency_pct	float	15%	38	17.0, 14.0, 45.0, 51.0, 20.0
`reading_proficiency_pct`	reading_proficiency_pct	float	11%	42	39.0, 38.0, 66.0, 71.0, 45.0

USA USGS Geographic Names Information System (GNIS) USA-USGS_GNIS Toponymy

5,089 rows · 4 table(s) · 2026 USGS Geographic Names Information System (GNIS) 0 1 2 3 11 SEL ▶

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0 Admin 0 — 1 table(s)

USA Usgs Gnis - Summary — 1 rows, 58 columns

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Field details — 58 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	USA
`admin_level`	admin_level	integer	SEL	0%	1	0

Pending (56) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`gnis_state_count`	gnis_state_count	integer	0%	1	51
`gnis_feature_row_count`	gnis_feature_row_count	integer	0%	1	964242
`gnis_name_row_count`	gnis_name_row_count	integer	0%	1	1231951
`gnis_variant_name_row_count`	gnis_variant_name_row_count	integer	0%	1	267709
`gnis_official_name_row_count`	gnis_official_name_row_count	integer	0%	1	964242
`gnis_features_with_variant_row_count`	gnis_features_with_variant_row_count	integer	0%	1	161592
`gnis_variant_share_pct`	gnis_variant_share_pct	float	0%	1	21.7305
`gnis_county_count`	gnis_county_count	integer	0%	1	3441
`gnis_feature_class_count`	gnis_feature_class_count	integer	0%	1	43
`gnis_feature_count`	gnis_feature_count	integer	0%	1	958877
`gnis_distinct_counts_stale`	gnis_distinct_counts_stale	boolean	0%	1	True
`gnis_variant_name_count`	gnis_variant_name_count	integer	0%	1	257095
`gnis_cross_state_feature_count`	gnis_cross_state_feature_count	integer	0%	1	5365
`gnis_feature_count_sea`	gnis_feature_count_sea	integer	0%	1	47
`gnis_feature_count_cape`	gnis_feature_count_cape	integer	0%	1	15099
`gnis_feature_count_island`	gnis_feature_count_island	integer	0%	1	17387
`gnis_feature_count_stream`	gnis_feature_count_stream	integer	0%	1	234357
`gnis_feature_count_valley`	gnis_feature_count_valley	integer	0%	1	68865
`gnis_feature_count_populated_place`	gnis_feature_count_populated_place	integer	0%	1	182183
`gnis_feature_count_spring`	gnis_feature_count_spring	integer	0%	1	34978
`gnis_feature_count_lake`	gnis_feature_count_lake	integer	0%	1	70085
`gnis_feature_count_summit`	gnis_feature_count_summit	integer	0%	1	68800
`gnis_feature_count_woods`	gnis_feature_count_woods	integer	0%	1	675
`gnis_feature_count_pillar`	gnis_feature_count_pillar	integer	0%	1	1987
`gnis_feature_count_basin`	gnis_feature_count_basin	integer	0%	1	4248
`gnis_feature_count_bay`	gnis_feature_count_bay	integer	0%	1	13313
`gnis_feature_count_range`	gnis_feature_count_range	integer	0%	1	2509
`gnis_feature_count_ridge`	gnis_feature_count_ridge	integer	0%	1	14647
`gnis_feature_count_crater`	gnis_feature_count_crater	integer	0%	1	237
`gnis_feature_count_gut`	gnis_feature_count_gut	integer	0%	1	3399
+26 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 2 table(s)

USA Usgs Gnis - Feature Class — 1,812 rows, 5 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	USA, USA, USA, USA, USA
`admin_level`	admin_level	integer	SEL	0%	1	1, 1, 1, 1, 1

Pending (4) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`state_alpha`	state_alpha	string	0%	3	AK, AK, AK, AK, AK
`gnis_feature_class`	gnis_feature_class	string	0%	42	Arch, Area, Bar, Basin, Bay
`gnis_feature_count`	gnis_feature_count	integer	0%	82	2, 186, 498, 45, 2663
`gnis_feature_share_pct`	gnis_feature_share_pct	float	0%	89	0.0067, 0.6245, 1.6721, 0.1511, 8.9413

USA Usgs Gnis - State Summary — 51 rows, 55 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	USA, USA, USA, USA, USA
`admin_level`	admin_level	integer	SEL	0%	1	1, 1, 1, 1, 1
`state_fips`	state_fips	integer	SEL	0%	19	06, 01, 05, 04, 06
`gnis_state_name`	gnis_state_name	string	SEL	0%	19	California, Alabama, Arkansas, Arizona, California

Pending (51) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`state_alpha`	state_alpha	string	0%	51	AK, AL, AR, AZ, CA
`gnis_feature_count`	gnis_feature_count	integer	0%	51	29783, 21794, 21306, 29777, 52722
`gnis_official_name_count`	gnis_official_name_count	integer	0%	51	29783, 21794, 21306, 29777, 52722
`gnis_variant_name_count`	gnis_variant_name_count	integer	0%	50	20363, 7454, 4175, 6123, 15157
`gnis_name_count`	gnis_name_count	integer	0%	51	50146, 29248, 25481, 35900, 67879
`gnis_features_with_variant_count`	gnis_features_with_variant_count	integer	0%	51	8758, 4266, 2802, 3594, 9391
`gnis_variant_share_pct`	gnis_variant_share_pct	float	0%	51	40.6074, 25.4855, 16.3848, 17.0557, 22.3294
`gnis_feature_class_count`	gnis_feature_class_count	integer	0%	17	42, 37, 36, 40, 43
`gnis_county_count`	gnis_county_count	integer	0%	42	32, 78, 82, 23, 60
`gnis_feature_count_sea`	gnis_feature_count_sea	integer	57%	3	22, 1, 1, 1, 3
`gnis_feature_count_cape`	gnis_feature_count_cape	integer	0%	49	2676, 143, 94, 28, 652
`gnis_feature_count_island`	gnis_feature_count_island	integer	0%	50	2715, 223, 139, 28, 522
`gnis_feature_count_stream`	gnis_feature_count_stream	integer	0%	51	9283, 6639, 4899, 2507, 9929
`gnis_feature_count_valley`	gnis_feature_count_valley	integer	2%	47	584, 886, 1470, 3472, 7602
`gnis_feature_count_populated_place`	gnis_feature_count_populated_place	integer	0%	51	1162, 6434, 4454, 1784, 6699
`gnis_feature_count_spring`	gnis_feature_count_spring	integer	0%	49	34, 592, 265, 4977, 3074
`gnis_feature_count_lake`	gnis_feature_count_lake	integer	0%	50	3373, 497, 1168, 447, 2765
`gnis_feature_count_summit`	gnis_feature_count_summit	integer	0%	50	2961, 861, 1397, 3242, 5605
`gnis_feature_count_woods`	gnis_feature_count_woods	integer	12%	19	1, 1, 3, 4, 201
`gnis_feature_count_pillar`	gnis_feature_count_pillar	integer	8%	34	34, 13, 17, 102, 299
`gnis_feature_count_basin`	gnis_feature_count_basin	integer	6%	39	45, 53, 11, 325, 525
`gnis_feature_count_bay`	gnis_feature_count_bay	integer	0%	48	2663, 74, 53, 158, 420
`gnis_feature_count_range`	gnis_feature_count_range	integer	8%	34	322, 10, 9, 192, 365
`gnis_feature_count_ridge`	gnis_feature_count_ridge	integer	6%	46	257, 237, 383, 327, 1755
`gnis_feature_count_crater`	gnis_feature_count_crater	integer	71%	12	13, 30, 26, 1, 85
`gnis_feature_count_gut`	gnis_feature_count_gut	integer	6%	36	182, 92, 253, 1, 198
`gnis_feature_count_gap`	gnis_feature_count_gap	integer	10%	42	227, 305, 128, 291, 698
`gnis_feature_count_glacier`	gnis_feature_count_glacier	integer	80%	8	657, 20, 16, 1, 59
`gnis_feature_count_bar`	gnis_feature_count_bar	integer	6%	41	498, 393, 84, 7, 274
`gnis_feature_count_channel`	gnis_feature_count_channel	integer	2%	38	445, 56, 51, 2, 103
+21 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

USA Usgs Gnis - Admin Crosswalk — 3,225 rows, 10 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	USA, USA, USA, USA, USA
`state_fips`	state_fips	integer	SEL	1%	3	02, 02, 02, 02, 02
`admin_level`	admin_level	integer	SEL	0%	2	0, 2, 2, 2, 2

Pending (8) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`gnis_feature_id`	gnis_feature_id	integer	0%	100	1890467, 1419964, 1419965, 1416061, 1419966
`gnis_unit_type`	gnis_unit_type	string	0%	2	COUNTRY, COUNTY, COUNTY, COUNTY, COUNTY
`gnis_name`	gnis_name	string	0%	100	United States of America, Aleutians East Borough,...
`state_alpha`	state_alpha	string	1%	3	AK, AK, AK, AK, AK
`county_fips`	county_fips	integer	1%	94	013, 016, 020, 050, 060
`census_geoid`	census_geoid	integer	1%	99	02013, 02016, 02020, 02050, 02060
`gnis_census_class_code`	gnis_census_class_code	string	1%	3	H1, H5, H6, H5, H1
`gnis_gsa_code`	gnis_gsa_code	integer	99%	1	0000

USA State Legislation (LegiScan) USA-LEGISCAN-LEGISLATION Legislation

3,878 rows · 1 table(s) · 2024 LegiScan 0 1 2 3 2 SEL 15 ext ▶

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1 Admin 1 — 1 table(s)

USA State Legislation (LegiScan) — 3,878 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`state_abbr`	Admin name	string	SEL	0%	25	OK, AZ, OK, TN, OK
`state_fips`	Admin code	float	SEL	0%	25	40, 04, 40, 47, 40

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`bill_id`	bill_id	float	0%	100	2049172, 2102840, 2049849, 1952530, 2050491
`bill_number`	bill_number	string	0%	100	HB2807, SB1641, SB697, HB0703, SB518
`title`	title	string	0%	88	Medical marijuana; medical marijuana transporter...
`description`	description	string	0%	88	Medical marijuana; medical marijuana transporter...
`status`	status	string	0%	1	unknown, unknown, unknown, unknown, unknown
`status_raw`	status_raw	string	0%	1	, , , ,
`last_action`	last_action	string	0%	73	Becomes law without Governor's signature 05/25/2025,...
`last_action_date`	last_action_date	string	0%	59	2025-05-27, 2026-03-24, 2025-05-22, 2025-03-26, 2025-05-21
`url`	url	string	0%	100	https://legiscan.com/OK/bill/HB2807/2026,...
`relevance_score`	relevance_score	float	0%	2	100.0, 99.0, 99.0, 99.0, 99.0
`topic`	topic	string	0%	1	cannabis, cannabis, cannabis, cannabis, cannabis
`matched_keyword`	matched_keyword	string	0%	2	marijuana, marijuana, marijuana, marijuana, marijuana
`impact_type`	impact_type	string	0%	1	regulatory, regulatory, regulatory, regulatory, regulatory
`business_types`	business_types	string	0%	1	['dispensary', 'cannabis_cultivation',...
`source`	source	string	0%	1	LegiScan, LegiScan, LegiScan, LegiScan, LegiScan

USA County Master Profile (217 indicators) USA-COUNTY-MASTER-PROFILE Commercial

3,311 rows · 1 table(s) · 2024 US Federal (BEA · BLS · Census · USDA · FEMA · FBI · FRED · HUD) 0 1 2 3 9 SEL 145 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

2 Admin 2 — 1 table(s)

USA County Master Profile (217 indicators) — 3,311 rows, 154 columns

Loading data…

Field details — 154 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geoid`	Admin code	string	SEL	0%	100	01001, 01003, 01005, 01007, 01009
`county_fips`	Admin code	string	SEL	0%	97	001, 003, 005, 007, 009
`county_name`	Admin name	string	SEL	0%	100	Autauga, AL, Baldwin, AL, Barbour, AL, Bibb, AL, Blount, AL
`per_capita_income`	Per capita income	float	SEL	0%	96	49879.0, 57721.0, 41053.0, 38232.0, 44085.0
`pct_drove_alone`	Commute: drove alone (%)	float	SEL	5%	79	93.1, 87.2, 92.1, 94.4, 94.0
`pct_public_transit`	Commute: public transit (%)	float	SEL	5%	18	0.2, 0.1, 0.2, 0.1, 0.0
`median_gross_rent`	Median gross rent	string	SEL	5%	91	1200, 1211, 644, 802, 743
`median_household_income`	Median household income	string	SEL	5%	95	69841, 75019, 44290, 51215, 61096
`avg_commute_minutes`	Average commute time (minutes)	float	SEL	5%	81	28.9, 28.7, 27.7, 34.0, 38.4

Extension Fields (145) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state_fips`	state_fips	string	0%	2	01, 01, 01, 01, 01
`state_name`	state_name	string	5%	2	AL, AL, AL, AL, AL
`rucc_code`	rucc_code	string	5%	9	2, 3, 6, 1, 1
`metro_nonmetro`	metro_nonmetro	string	5%	2	Metro, Metro, Nonmetro, Metro, Metro
`population_2020`	population_2020	string	5%	95	58805, 231767, 25223, 22293, 59134
`farming_dependent`	farming_dependent	string	5%	1	0, 0, 0, 0, 0
`mining_dependent`	mining_dependent	string	5%	2	0, 0, 0, 0, 0
`manufacturing_dependent`	manufacturing_dependent	string	5%	2	0, 0, 1, 0, 0
`government_dependent`	government_dependent	string	5%	2	0, 0, 0, 0, 0
`recreation_county`	recreation_county	string	5%	2	0, 1, 0, 0, 0
`persistent_poverty`	persistent_poverty	string	13%	2	0, 0, 1, 0, 0
`retirement_destination`	retirement_destination	string	5%	2	0, 1, 0, 0, 0
`personal_income_thousands`	personal_income_thousands	float	0%	96	2979576.0, 14232715.0, 1014902.0, 840465.0, 2622662.0
`population_bea`	population_bea	float	0%	96	59736.0, 246577.0, 24722.0, 21983.0, 59491.0
`net_earnings_thousands`	net_earnings_thousands	float	0%	96	858715.0, 5966769.0, 538239.0, 353392.0, 772599.0
`dividends_interest_rent_thousands`	dividends_interest_rent_thousands	float	0%	96	409242.0, 3190903.0, 145714.0, 81525.0, 279190.0
`transfer_payments_thousands`	transfer_payments_thousands	float	0%	96	699312.0, 3194374.0, 379292.0, 273129.0, 672912.0
`pct_income_from_earnings`	pct_income_from_earnings	float	5%	90	28.8, 41.9, 53.0, 42.0, 29.5
`pct_income_from_investments`	pct_income_from_investments	float	5%	69	13.7, 22.4, 14.4, 9.7, 10.6
`pct_income_from_transfers`	pct_income_from_transfers	float	5%	81	23.5, 22.4, 37.4, 32.5, 25.7
`gdp_thousands`	gdp_thousands	float	2%	96	1883611.0, 9224845.0, 748152.0, 458937.0, 1041201.0
`total_employment`	total_employment	float	0%	96	140296.0, 873579.0, 94149.0, 62982.0, 104214.0
`farm_earnings_thousands`	farm_earnings_thousands	float	2%	96	694911.0, 5214126.0, 395327.0, 275890.0, 526453.0
`manufacturing_earnings_thousands`	manufacturing_earnings_thousands	float	2%	86	66178.0, 695475.0, 18720.0, 85233.0, 83131.0
`healthcare_earnings_thousands`	healthcare_earnings_thousands	float	2%	76	19207.0, 154394.0, 33338.0, 24814.0, 0.0
`construction_earnings_thousands`	construction_earnings_thousands	float	2%	42	6666.0, 13772.0, 9752.0, 0.0, 0.0
`wholesale_earnings_thousands`	wholesale_earnings_thousands	float	2%	85	132566.0, 308118.0, 134696.0, 44044.0, 89946.0
`earnings_inflows_thousands`	earnings_inflows_thousands	float	1%	92	1341425.0, 3132500.0, 153656.0, 294015.0, 1115111.0
`earnings_outflows_thousands`	earnings_outflows_thousands	float	1%	94	216571.0, 491516.0, 133923.0, 113026.0, 127584.0
`net_commuter_earnings_thousands`	net_commuter_earnings_thousands	float	1%	95	1124854.0, 2640984.0, 19733.0, 180989.0, 987527.0
+115 more extension fields — download the CSV/Parquet to see them all.

USA Presidential Election Results 2020 + 2024 by County USA-ELECTION-2020-2024 Election

3,208 rows · 1 table(s) · 2024 MIT Election Lab / tonmcg 0 1 2 3 4 SEL 10 ext ▶

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2 Admin 2 — 1 table(s)

USA County Election Results 2020+2024 — 3,208 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geoid`	Admin code	float	SEL	0%	100	01001, 01003, 01005, 01007, 01009
`county_name`	Admin name	string	SEL	0%	100	Autauga County, Baldwin County, Barbour County, Bibb...
`total_votes_2020`	Total votes 2020	integer	SEL	33%	67	27770, 109679, 10518, 9595, 27588
`total_votes_2024`	Total votes 2024	integer	SEL	0%	99	28190, 121808, 9832, 9241, 28115

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state_name`	state_name	string	0%	2	Alabama, Alabama, Alabama, Alabama, Alabama
`votes_gop_2020`	votes_gop_2020	integer	33%	67	19838, 83544, 5622, 7525, 24711
`votes_dem_2020`	votes_dem_2020	integer	33%	67	7503, 24578, 4816, 1986, 2640
`pct_gop_2020`	pct_gop_2020	float	33%	67	71.44, 76.17, 53.45, 78.43, 89.57
`pct_dem_2020`	pct_dem_2020	float	33%	66	27.02, 22.41, 45.79, 20.7, 9.57
`votes_gop_2024`	votes_gop_2024	integer	0%	100	20484, 95798, 5606, 7572, 25354
`votes_dem_2024`	votes_dem_2024	integer	0%	98	7439, 24934, 4158, 1619, 2576
`pct_gop_2024`	pct_gop_2024	float	0%	100	72.66, 78.65, 57.02, 81.94, 90.18
`pct_dem_2024`	pct_dem_2024	float	0%	99	26.39, 20.47, 42.29, 17.52, 9.16
`swing_r_2020_2024`	swing_r_2020_2024	float	33%	62	1.23, 2.48, 3.57, 3.51, 0.61

USA Global Data Lab USA-GDL Development Indices

1,768 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

USA GDL - Subnational Indices — 1,768 rows, 11 columns

Loading data…

Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	52	United States, Alabama, Alaska, Arizona, Arkansas
`human_development_index`	Human development index	float	SEL	0%	54	0.878, 0.84, 0.918, 0.879, 0.839
`health_index`	Health index	float	SEL	0%	55	0.852, 0.826, 0.86, 0.866, 0.836
`education_index`	Education index	float	SEL	0%	62	0.867, 0.818, 0.919, 0.88, 0.81
`income_index`	Income index	float	SEL	0%	67	0.916, 0.877, 0.979, 0.89, 0.872
`life_expectancy`	Life expectancy	float	SEL	0%	77	75.37, 73.71, 75.88, 76.28, 74.37
`mean_years_schooling`	Mean years schooling	float	SEL	0%	76	13.0, 12.27, 13.79, 13.2, 12.15

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	2	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	1	subnational, subnational, subnational, subnational, subnational

USA Local Lodging Tax Rates (291 cities) USA-LOCAL-LODGING-TAX Tax

895 rows · 1 table(s) · 2024 State Revenue Departments 0 1 2 3 2 SEL 9 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

3 Admin 3 — 1 table(s)

USA Local Lodging Tax Rates (291 cities) — 895 rows, 11 columns

Loading data…

Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	100	Coleman, Abilene, Addison, Alamo, Albany
`lodging_tax_rate`	Lodging tax rate	float	SEL	0%	13	7.0, 7.0, 7.0, 7.0, 7.0

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`county_name`	county_name	string	0%	1	, , , ,
`state_abbr`	state_abbr	string	0%	1	TX, TX, TX, TX, TX
`state_fips`	state_fips	float	0%	1	48, 48, 48, 48, 48
`geo_level`	geo_level	string	0%	2	city, city, city, city, city
`tax_type`	tax_type	string	0%	1	lodging, lodging, lodging, lodging, lodging
`reference_year`	reference_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`source`	source	string	0%	6	Texas Comptroller Open Data Portal (FY 2022), Texas...
`source_url`	source_url	string	0%	1	https://data.texas.gov/dataset/Local-Hotel-Occupancy-Tax-...
`license`	license	string	0%	1	Public data (state/local government), Public data...

USA LandScan Global (ORNL) USA-LANDSCAN Modeled Population

401 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	United States
`admin_code`	Admin code	string	SEL	0%	1	2327393B34831548174820
`area_sqkm`	Area sqkm	float	SEL	0%	1	9366476.9565
`pop_2024`	Population count	integer	SEL	0%	1	344734933
`pop_density_2024`	Population density	float	SEL	0%	1	36.81

1 Admin 1 — 1 table(s)

USA LandScan - Population Admin1 (admin_1) — 56 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	56	California, Texas, Florida, New York, Pennsylvania
`admin_code`	Admin code	string	SEL	0%	56	66186276B43071933723331, 66186276B29106115751815,...
`area_sqkm`	Area sqkm	float	SEL	0%	56	409869.6623, 687756.1386, 150955.407, 126996.3015, 117341.693
`pop_2024`	Population count	integer	SEL	0%	56	39574757, 31451422, 23379616, 19935014, 13148211
`pop_density_2024`	Population density	float	SEL	0%	56	96.55, 45.73, 154.88, 156.97, 112.05

Locality Locality — 1 table(s)

USA LandScan - Cities (locality) — 344 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	New York City, Los Angeles, Miami, Chicago, San Francisco
`admin_code`	Admin code	integer	SEL	0%	100	8099, 2007, 7168, 7532, 1461
`area_sqkm`	Area sqkm	float	SEL	0%	100	3027.9395, 4486.651, 2772.5526, 2044.4782, 1611.1396
`pop_2024`	Population count	integer	SEL	0%	100	14364855, 13003791, 5762340, 5231552, 4765344
`pop_density_2024`	Population density	float	SEL	0%	100	4744.1, 2898.33, 2078.35, 2558.87, 2957.75

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	100	14197659, 13474333, 5733042, 5318735, 4718349
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	93	1.012, 0.965, 1.005, 0.984, 1.01

USA FRED MSA Indicators (HPI + Unemployment) USA-FRED-MSA-INDICATORS Indicators

372 rows · 1 table(s) · 2024 FRED / FHFA / BLS 0 1 2 3 4 SEL 2 ext ▶

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2 Admin 2 — 1 table(s)

USA FRED MSA Indicators (HPI + Unemployment) — 372 rows, 8 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`cbsa_code`	Admin code	float	SEL	0%	100	10180, 10420, 10500, 10540, 10580
`house_price_index`	House price index	float	SEL	0%	100	369.82, 268.93, 261.28, 428.82, 340.07
`hpi_yoy_change_pct`	House price index yoy percent	float	SEL	0%	94	7.51, 0.84, 2.32, 2.85, 0.43
`msa_unemployment_rate`	Unemployment rate percent	float	SEL	5%	38	3.1, 4.3, 4.0, 3.3, 3.9

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`hpi_date`	hpi_date	string	0%	2	2025-10-01, 2025-10-01, 2025-10-01, 2025-10-01, 2025-10-01
`unemployment_date`	unemployment_date	string	5%	2	2025-12-01, 2025-12-01, 2025-12-01, 2025-12-01, 2025-12-01

USA GHS Urban Centre Database (EU JRC) USA-GHSL_UCDB Modeled Population

344 rows · 1 table(s) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

USA GHS-UCDB - Cities (locality) — 344 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	100	New York City, Los Angeles, Miami, Chicago, San Francisco
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`population`	Population count	integer	SEL	0%	100	14197659, 13474333, 5733042, 5318735, 4718349

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	8099, 2007, 7168, 7532, 1461
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	United States, United States, United States, United...
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

USA Glottolog Language Catalog USA-GLOTTOLOG Language

323 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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0 Admin 0 — 1 table(s)

USA Glottolog - Languages — 323 rows, 16 columns

Loading data…

Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	achu1247, adai1235, afro1254, ahte1237, alab1237
`name`	Name	string	CCL	0%	100	Achumawi, Adai, Afro-Seminole Creole, Ahtena, Alabama
`iso639_3`	Iso639 3	string	CCL	11%	89	acv, xad, afs, aht, akz
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	7%	29	pala1350, indo1319, atha1245, musk1252, eski1264
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	7%	72	pala1350, gull1243, sout3337, alab1247, aleu1261
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	11	['US'], ['US'], ['MX', 'US'], ['US'], ['US']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	8	0, 0, 0, 5, 0

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	7%	91	41.0979, 31.6314, 31.7843, 61.7068, 30.76738
`longitude`	longitude	float	7%	92	-121.191, -92.0059, -99.2934, -144.889, -94.62848
`classification`	classification	string	0%	1	[], [], [], [], []

USA D-PLACE USA-DPLACE Ethnographic Societies

199 rows · 1 table(s) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

USA D-PLACE - Dplace Ea Societies — 199 rows, 18 columns

Loading data…

Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`society_id`	Society id	string	CCL	0%	100	Na10, Na11, Na12, Na2, Na26
`society_name`	Society name	string	CCL	0%	100	Chugach, Sivokakmeit, Nunamiut, Tareumiut, Dena'ina
`language_glottocode`	Language glottocode	string	CCL	0%	78	chug1254, cent2128, nort2944, nort2944, tana1289
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	27	EA001:0; EA002:2; EA003:8; EA004:0; EA005:0, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	68	EA006:6; EA007:8; EA008:NA; EA009:NA; EA010:9, EA006:2;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	28	EA028:1; EA029:1; EA030:7; EA031:NA; EA032:3, EA028:1;...
`political_complexity`	Political complexity	string	CCL	0%	12	EA033:1; EA034:1; EA035:5, EA033:1; EA034:NA; EA035:2,...
`religion_importance`	Religion importance	string	CCL	0%	21	EA034:1; EA112:NA, EA034:NA; EA112:NA, EA034:1; EA112:1,...
`residence_pattern`	Residence pattern	string	CCL	0%	12	EA011:1; EA012:10; EA013:9, EA011:1; EA012:8; EA013:9,...

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	United States of America, United States of America,...
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	38	60.72, 63.34, 68.0, 71.0, 62.0
`longitude`	longitude	float	0%	37	-146.49, -170.3, -152.0, -157.0, -144.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

USA World Bank Open Data USA-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

USA World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	US, US, US, US, US
`population_count`	Population count	float	SEL	2%	65	180671000.0, 183691000.0, 186538000.0, 189242000.0, 191889000.0
`life_expectancy`	Life expectancy	float	SEL	3%	59	69.7707317073171, 70.2707317073171, 70.119512195122,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	2999.86487154495, 3059.16082086127, 3236.01311150062,...
`literacy_rate_pct`	Literacy rate percent	string	SEL	100%	-	-
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	57	30.1, 29.5, 28.9, 28.3, 27.7
`poverty_headcount_pct`	Poverty headcount percent	string	SEL	100%	-	-

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	United States, United States, United States, United...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

USA World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	US, US, US, US, US
`life_expectancy`	Life expectancy	float	SEL	3%	59	69.7707317073171, 70.2707317073171, 70.119512195122,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	15%	44	15.9, 15.5, 15.0, 14.4, 13.6
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	57	30.1, 29.5, 28.9, 28.3, 27.7
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	11	11.0, 11.0, 11.0, 12.0, 12.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	3.654, 3.62, 3.461, 3.319, 3.19
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	42	23.7, 23.3, 22.4, 21.7, 21.1
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	30	9.5, 9.3, 9.5, 9.6, 9.4
`physicians_per_1000`	Physicians per 1000	float	SEL	58%	17	1.1, 1.2, 1.2, 1.3, 1.3
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	17%	53	9.19999980926514, 8.80000019073486, 7.90000009536743,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	9	96.0, 96.0, 96.0, 97.0, 97.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	12.49002075, 13.16817093, 13.99535275, 14.50557518, 14.55123138

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	United States, United States, United States, United...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

USA UNHCR Refugee Data Finder USA-UNHCR Migration

110 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

USA UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

USA UNHCR - Origin Populations — 35 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

USA Google Community Mobility (2020-2022) USA-GOOGLE-MOBILITY Mobility

51 rows · 1 table(s) · 2022 Google 0 1 2 3 4 SEL 7 ext ▶

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1 Admin 1 — 1 table(s)

USA Mobility by Region — 51 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	US, US, US, US, US
`region`	Admin name	string	SEL	0%	51	Alabama, Alaska, Arizona, Arkansas, California
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	48	-1.78, 6.4, -7.27, 0.05, -13.4
`grocery`	grocery	float	0%	50	3.25, 4.54, -0.86, 1.85, -2.46
`parks`	parks	float	0%	51	2.84, 14.52, -1.87, 4.97, 6.92
`transit`	transit	float	0%	51	-0.16, -0.3, 0.21, 1.0, -20.22
`workplaces`	workplaces	float	0%	49	-16.47, -18.24, -21.94, -16.47, -25.47
`residential`	residential	float	0%	47	2.76, 2.62, 4.89, 1.71, 6.04
`observation_count`	observation_count	integer	0%	51	62030, 9795, 15276, 60897, 54558

USA State Regulatory Status (Cannabis/Casino/Sports Betting) USA-REGULATORY-STATUS Regulatory

51 rows · 1 table(s) · 2024 NCSL / AGA / State Statutes 0 1 2 3 2 SEL 4 ext ▶

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1 Admin 1 — 1 table(s)

USA State Regulatory Status (Cannabis/Casino/Sports Betting) — 51 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`state_fips`	Admin code	float	SEL	0%	51	01, 02, 04, 05, 06
`state_abbr`	Admin name	string	SEL	0%	51	AL, AK, AZ, AR, CA

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`cannabis_status`	cannabis_status	string	0%	4	medical_limited, recreational, recreational, medical,...
`casino_status`	casino_status	string	0%	3	prohibited, prohibited, tribal_only, commercial, tribal_only
`sports_betting_status`	sports_betting_status	string	0%	4	prohibited, prohibited, legal, legal, prohibited
`source`	source	string	0%	1	NCSL / AGA / state statutes (curated 2026-Q1), NCSL /...

USA State Tax Rates (Tax Foundation) USA-TAX-FOUNDATION Tax

51 rows · 1 table(s) · 2024 Tax Foundation 0 1 2 3 2 SEL 18 ext ▶

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1 Admin 1 — 1 table(s)

USA State Tax Rates (Tax Foundation) — 51 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`state_abbr`	Admin name	string	SEL	0%	51	AL, AK, AZ, AR, CA
`state_fips`	Admin code	float	SEL	0%	51	01, 02, 04, 05, 06

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`income_tax_top_rate`	income_tax_top_rate	float	0%	38	5.0, 0.0, 2.5, 3.9, 13.3
`income_tax_brackets`	income_tax_brackets	integer	0%	12	3, 0, 1, 3, 10
`income_tax_type`	income_tax_type	string	0%	3	graduated, none, flat, graduated, graduated
`corporate_tax_top_rate`	corporate_tax_top_rate	float	0%	35	6.5, 9.4, 2.5, 4.3, 8.84
`corporate_tax_type`	corporate_tax_type	string	0%	3	flat, graduated, flat, graduated, flat
`state_sales_tax_rate`	state_sales_tax_rate	float	0%	24	4.0, 0.0, 5.6, 6.5, 7.25
`avg_local_sales_tax_rate`	avg_local_sales_tax_rate	float	0%	37	5.27, 1.82, 2.8, 2.97, 1.6
`combined_sales_tax_rate`	combined_sales_tax_rate	float	0%	42	9.27, 1.82, 8.4, 9.47, 8.85
`effective_property_tax_rate`	effective_property_tax_rate	float	0%	42	0.37, 1.07, 0.51, 0.57, 0.68
`median_property_tax_paid`	median_property_tax_paid	integer	0%	51	658, 3464, 1707, 878, 4279
`state_lodging_tax_rate`	state_lodging_tax_rate	float	0%	26	4.0, 0.0, 5.5, 2.0, 0.0
`max_local_lodging_tax_rate`	max_local_lodging_tax_rate	float	0%	19	7.0, 12.0, 6.0, 4.0, 15.0
`cannabis_excise_tax_rate`	cannabis_excise_tax_rate	float	51%	14	0.0, 16.0, 15.0, 15.0, 0.0
`cannabis_tax_type`	cannabis_tax_type	string	51%	4	weight_based, excise_pct, excise_pct, excise_pct, potency_based
`reference_year`	reference_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`source`	source	string	0%	1	Tax Foundation (Facts & Figures 2025), Tax Foundation...
`source_url`	source_url	string	0%	1	https://taxfoundation.org/data/all/state/,...
`license`	license	string	0%	1	Tax Foundation publications (cite source), Tax...

USA OpenFactBook USA-OPENFACTBOOK Country Profile

16 rows · 16 table(s) · 2024 OpenFactBook 0 1 2 3 97 SEL 5 CCL 633 ext ▶

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0 Admin 0 — 16 table(s)

USA OpenFactBook - Communications — 1 rows, 21 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	26.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	113.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.us
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	93.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	38.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	87.987 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	87.987
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	26 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	391 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	391.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	113 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	4 major terrestrial TV networks with affiliate stations,...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	93% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	131 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	131.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	38 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Economy — 1 rows, 138 columns

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Field details — 144 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	75500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	29.185
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (139) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	world’s largest economy by nominal GDP; largest importer...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$25.676 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	25.676
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$24.977 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	24.977
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$24.276 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	24.276
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	2.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2.9% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.9
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.5
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$75,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$74,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	74200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$72,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	72700.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$29.185 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.9% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	4.1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	4.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	8.0
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	0.9% (2024 est.)
+109 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Energy — 1 rows, 67 columns

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Field details — 67 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (63) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	1.235 billion kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.235
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	4.085 trillion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	4.085
`electricity_exports_text`	electricity_exports_text	string	0%	1	19.87 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	19.87
`electricity_imports_text`	electricity_imports_text	string	0%	1	38.874 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	38.874
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	191.104 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	191.104
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	58.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	58.9
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	18.2% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	18.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	5.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	5.6
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	9.9% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	9.9
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	5.6% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	5.6
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	0.4
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.3% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.3
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	94 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	94.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	96.95GW (2025 est.)
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric	float	0%	1	96.95
`nuclear_energy_percent_of_total_electricity_production_text`	nuclear_energy_percent_of_total_electricity_production_text	string	0%	1	18.5% (2023 est.)
+33 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Environment — 1 rows, 51 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	46.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	33.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	83.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.96
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	265.225
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (48) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution; water pollution from runoff of pesticides...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Heavy Metals, Air...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Air Pollution-Persistent Organic Pollutants, Air...
`climate_text`	climate_text	string	0%	1	mostly temperate, but tropical in Hawaii and Florida,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	46.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 16.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	16.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 29.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	29.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	33.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	18.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	18.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	83.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.96% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	4.795 billion metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	4.795
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	777.302 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	777.302
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	2.258 billion metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	0%	1	2.258
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	1.76 billion metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	1.76
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	7.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	7.4
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	20,500.6 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	20500.6
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	9,063.9 kt (2019-2021 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	American(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	American
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	White 61.6%, Black or African American 12.4%, Asian 6%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	61.6
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Geography — 1 rows, 63 columns

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Field details — 72 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	9833517.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	9147593.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	685924.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	12002.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	19924.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	6190.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-86.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	46.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	33.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	234782.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (59) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	North America, bordering both the North Atlantic Ocean...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	38 00 N, 97 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	38.0
`map_references_text`	map_references_text	string	0%	1	North America
`area_total_text`	area_total_text	string	0%	1	9,833,517 sq km
`area_land_text`	area_land_text	string	0%	1	9,147,593 sq km
`area_water_text`	area_water_text	string	0%	1	685,924 sq km
`area_note`	area_note	string	0%	1	note: includes only the 50 states and District of...
`area_comparative_text`	area_comparative_text	string	0%	1	about half the size of Russia; about three-tenths the...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	12,002 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Canada 8,891 km (including 2,475 km with Alaska); Mexico 3,111 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	8891.0
`land_boundaries_note`	land_boundaries_note	string	0%	1	note: US Naval Base at Guantanamo Bay, Cuba is leased by...
`coastline_text`	coastline_text	string	0%	1	19,924 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	not specified
`climate_text`	climate_text	string	0%	1	mostly temperate, but tropical in Hawaii and Florida,...
`terrain_text`	terrain_text	string	0%	1	vast central plain, mountains in west, hills and low...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Mount McKinley 6,190 m (highest point in North America)
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Death Valley (lowest point in North America) -86 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	760 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	760.0
`elevation_note`	elevation_note	string	0%	1	note 1: Mount McKinley is one of the most striking...
`natural_resources_text`	natural_resources_text	string	0%	1	coal, copper, lead, molybdenum, phosphates, rare earth...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	46.1% (2023 est.)
+29 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Government — 1 rows, 84 columns

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Field details — 111 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (109) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	United States of America
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	United States
`country_name_abbreviation_text`	country_name_abbreviation_text	string	0%	1	US or USA
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name America was first used in 1507 and is derived...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1507.0
`government_type_text`	government_type_text	string	0%	1	constitutional federal republic
`capital_name_text`	capital_name_text	string	0%	1	Washington, D.C.
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	38 53 N, 77 02 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	38.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-5 (during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-5.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins second Sunday in March; ends first Sunday...
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	the 50 United States cover six time zones
`capital_time_zone_note_numeric`	capital_time_zone_note_numeric	float	0%	1	50.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after George WASHINGTON (1732-1799), the first...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1732.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	50 states and 1 district*; Alabama, Alaska, Arizona,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	50.0
`dependent_areas_text`	dependent_areas_text	string	0%	1	American Samoa, Baker Island, Guam, Howland Island,...
`dependent_areas_numeric`	dependent_areas_numeric	float	0%	1	14.0
`legal_system_text`	legal_system_text	string	0%	1	common law system based on English common law at the...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1781 (Articles of Confederation and Perpetual...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1781.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed as a "joint resolution" by Congress, which...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	withdrew acceptance of compulsory ICJ jurisdiction in...
`international_law_organization_participation_numeric`	international_law_organization_participation_numeric	float	0%	1	2005.0
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no, but the US government acknowledges such situtations...
+79 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Introduction — 1 rows, 6 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	Thirteen of Britain's American colonies broke with the...
`background_numeric`	background_numeric	float	0%	1	1776.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Languages — 1 rows, 6 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_text`	languages_text	string	0%	1	English only (official) 78.2%, Spanish 13.4%, Chinese...
`languages_numeric`	languages_numeric	float	0%	1	78.2
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Migration — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	3,619,495 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	3619495.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	21,737 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	21737.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Military And Security — 1 rows, 21 columns

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	United States Armed Forces (aka US Military): US Army...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	0%	1	3.2% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	3.2% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	3.1% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	3.1
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	3.2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	3.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	3.5
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 1.28 million active duty Armed Forces...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	1.28
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the US military's inventory is comprised almost entirely...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	17 years of age (under 18 with parental consent) for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	17.0
`military_deployments_text`	military_deployments_text	string	0%	1	the US has approximately 200,000 military personnel...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	200000.0
`military_note_text`	military_note_text	string	0%	1	the US military's primary missions are to deter...
`military_note_numeric`	military_note_numeric	float	0%	1	1949.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - People And Society — 1 rows, 127 columns

Loading data…

Field details — 140 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	338016259.0
`population_male_numeric`	Population male	float	SEL	0%	1	167543554.0
`population_female_numeric`	Population female	float	SEL	0%	1	170472705.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	18.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	63.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	18.5
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	56.0
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	26.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	29.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	39.5
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.45
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	10.75
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	8.76
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	2.54
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	83.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.96
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.97
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	17.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	5.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	80.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.63
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.02
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.68
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.7
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (112) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	338,016,259 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	167,543,554
`population_female_text`	population_female_text	string	0%	1	170,472,705
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	18.1% (male 31,618,532/female 30,254,223)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	63.4% (male 108,553,822/female 108,182,491)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	18.5% (2024 est.) (male 28,426,426/female 34,927,914)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	56 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	26.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	29.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	3.4 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	3.4
`median_age_total_text`	median_age_total_text	string	0%	1	39.5 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	37.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	37.8
`median_age_female_text`	median_age_female_text	string	0%	1	40 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	40.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.45% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	10.75 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	8.76 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	2.54 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	large urban clusters are spread throughout the eastern...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	83.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.96% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	18.937 million New York-Newark, 12.534 million Los...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	18.937
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+82 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	0.9
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	0.7
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	0.7
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.8
`composition_ethnicity_primary_label_synth`	White	string	CCL	0%	-	White

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Protestant 46.5%, Roman Catholic 20.8%, Jewish 1.9%,...
`religions_numeric`	religions_numeric	float	0%	1	46.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

Pending (16) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	46.5
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	20.8
`composition_religion_jewish_pct_synth`	Jewish	numeric	0%	-	1.9
`composition_religion_church_of_jesus_christ_pct_synth`	Church of Jesus Christ	numeric	0%	-	1.6
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	0.9
`composition_religion_jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	0.8
`composition_religion_unaffiliated_pct_synth`	unaffiliated	numeric	0%	-	22.8
`composition_religion_don_t_know_refused_pct_synth`	don't know/refused	numeric	0%	-	0.6
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-	61.6
`composition_ethnicity_black_or_african_american_pct_synth`	Black or African American	numeric	0%	-	12.4
`composition_ethnicity_asian_pct_synth`	Asian	numeric	0%	-	6.0
`composition_ethnicity_indigenous_and_alaska_native_pct_synth`	Indigenous and Alaska native	numeric	0%	-	1.1
`composition_ethnicity_native_hawaiian_and_other_pacific_islander_pct_synth`	Native Hawaiian and Other Pacific Islander	numeric	0%	-	0.2
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	8.4
`composition_ethnicity_two_or_more_races_pct_synth`	two or more races	numeric	0%	-	10.2
`composition_ethnicity_primary_share_pct_synth`	White	numeric	0%	-	61.6

USA OpenFactBook - Space — 1 rows, 9 columns

Loading data…

Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	National Aeronautics and Space Administration (NASA;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1958.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	has 20 government and commercial spaceports licensed by...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	20.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a large, comprehensive space program and is one of...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2026.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1958-1963 - Project Mercury first manned space...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1958.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Terrorism — 1 rows, 6 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	al-Qa'ida; Hizballah; Islamic Revolutionary Guard Corps...
`terrorist_group_s_numeric`	terrorist_group_s_numeric	float	0%	1	-13.0
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Transportation — 1 rows, 30 columns

Loading data…

Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	N
`airports_numeric`	Airports count	float	SEL	0%	1	16116.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	16,116 (2025)
`heliports_text`	heliports_text	string	0%	1	8,130 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	8130.0
`railways_total_text`	railways_total_text	string	0%	1	293,564.2 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	293564.2
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	293,564.2 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	293564.2
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	3,533 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	3533.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 4, container ship 60, general cargo 96, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	4.0
`merchant_marine_note`	merchant_marine_note	string	0%	1	note - oceangoing self-propelled, cargo-carrying vessels...
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	666 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	666.0
`ports_large_text`	ports_large_text	float	0%	1	21
`ports_large_numeric`	ports_large_numeric	float	0%	1	21.0
`ports_medium_text`	ports_medium_text	float	0%	1	38
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	38.0
`ports_small_text`	ports_small_text	float	0%	1	132
`ports_small_numeric`	ports_small_numeric	float	0%	1	132.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	475
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	475.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	204
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	204.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Baltimore, Boston, Brooklyn, Buffalo, Chester,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA Ethnic Power Relations Dataset USA-EPR Political Ethnicity

6 rows · 1 table(s) · 2021 Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA EPR - Groups — 6 rows, 8 columns

Loading data…

Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`ethnic_group_name`	Ethnic group name	string	CCL	0%	6	Whites, Latinos, African Americans, Asian Americans,...
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	6	0.6, 0.185, 0.134, 0.059, 0.013
`ethnic_group_id`	Ethnic group id	float	CCL	0%	6	201000, 202000, 203000, 204000, 205000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	false, false, false, false, true

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

USA Global Organized Crime Index USA-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	USA
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	31
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	float	0%	1	6.5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	float	0%	1	6.5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	37
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	7.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	float	0%	1	6.5
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	114
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	4.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	39
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	7
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	7
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	78
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	5.5
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	5.5
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	43
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	5.83
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	5.5
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	74
`oc_criminal_networks_2023`	oc_criminal_networks_2023	integer	0%	1	6
`oc_criminal_networks_2021`	oc_criminal_networks_2021	float	0%	1	6.5
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	60
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	5.67
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	5.5
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	7
+74 more pending fields — download the CSV/Parquet to see them all.

USA World Values Survey USA-WVS Attitudes Values

1 rows · 1 table(s) · 2022 World Values Survey 0 1 2 3 1 SEL 25 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

United States

Build a download

Source	Type	Access
US Federal (BEA · BLS · Census · USDA · FEMA · FBI · FRED · HUD)	official_government	api
U.S. Census Bureau	official_api	api
FRED / FHFA / BLS (Federal Reserve Economic Data / Federal Housing Finance Agency / Bureau of Labor Statistics)	official_government	api
State Revenue Departments	official_government	bulk_download
NCES CCD/F-33/EdFacts (National Center for Education Statistics)	official_government	bulk_download
LegiScan	commercial	api
Tax Foundation	think_tank	bulk_download
NCSL / AGA / State Statutes	reference_database	bulk_download
Google	commercial	bulk_download
USGS Geographic Names Information System (GNIS)	official_government	bulk_download
MIT Election Lab / tonmcg	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
Glottolog Language Catalog	academic	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	academic	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download