Mexico

MEX INEGI Indicators MEX-INEGI Census

195,662 rows · 4 table(s) · 2020 INEGI Indicators 0 1 2 3 112 SEL 32 CCL 4 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)

MEX INEGI - Census National — 1 rows, 44 columns

Loading data…

Field details — 44 fields (type, nulls, unique, samples)

Standards-Aligned Fields (36)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	MEX
`admin_level`	Administrative level (admin_0..admin_3)	string	SEL	0%	1	admin_0
`admin_code`	Admin code	integer	SEL	0%	1	00
`admin_name`	Geographic unit name	string	SEL	0%	1	National total
`source_vintage`	Source vintage	integer	SEL	0%	1	2020
`population_total`	Total population	integer	SEL	0%	1	126014024
`population_male`	Male population	integer	SEL	0%	1	61473390
`population_female`	Female population	integer	SEL	0%	1	64540634
`population_0_14`	Population 0 to 14 years	integer	SEL	0%	1	31755284
`population_15_64`	Population 15 to 64 years	integer	SEL	0%	1	83663440
`population_65_plus`	Population 65 years and over	integer	SEL	0%	1	10321914
`sex_ratio_men_per_100_women`	Sex ratio (men per 100 women)	float	SEL	0%	1	95.25
`pop_15_plus_illiterate`	Illiterate population 15 and over	integer	SEL	0%	1	4456431
`literacy_rate_15_plus_pct`	Literacy rate, population 15 and over (%)	float	SEL	0%	1	95.26
`pop_15_plus_no_schooling`	Population 15+ with no schooling	integer	SEL	0%	1	4841952
`pop_15_plus_secondary_complete`	Population 15+ with completed secondary education	integer	SEL	0%	1	22833912
`pop_18_plus_post_basic`	Population 18+ with post-basic education	integer	SEL	0%	1	39977750
`avg_schooling_years`	Average years of schooling	float	SEL	0%	1	9.74
`total_dwellings`	Total dwellings	integer	SEL	0%	1	43903443
`occupied_private_dwellings`	Occupied private dwellings	integer	SEL	0%	1	35219141
`avg_occupants_per_dwelling`	Average occupants per dwelling	float	SEL	0%	1	3.56
`avg_occupants_per_room`	Average occupants per room	float	SEL	0%	1	0.96
`dwellings_with_electricity`	Occupied dwellings with electricity	integer	SEL	0%	1	34805976
`dwellings_with_piped_water`	Occupied dwellings with piped water	integer	SEL	0%	1	33858339
`dwellings_with_drainage`	Occupied dwellings with drainage	integer	SEL	0%	1	33564054
`dwellings_with_internet`	Occupied dwellings with internet	integer	SEL	0%	1	18307193
`dwellings_with_computer`	Occupied dwellings with a computer	integer	SEL	0%	1	13204680
`dwellings_with_cellphone`	Occupied dwellings with a cellphone	integer	SEL	0%	1	30775898
`pop_indigenous_language_3_plus`	Population 3+ speaking an indigenous language	integer	CCL	0%	1	7364645
`indigenous_language_rate_pct`	Share of population 3+ speaking an indigenous language (%)	float	CCL	0%	1	6.14
+6 more standards-aligned fields — download the CSV/Parquet to see them all.

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

Field Name	Label	Type	Nulls	Unique	Samples
`pop_15_plus_primary_complete`	Population 15+ with completed primary education	integer	0%	1	12325433

Pending (7) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`parent_admin_code`	parent_admin_code	string	100%	-	-
`avg_children_born_alive`	Average children ever born (women 12+)	float	0%	1	2.09
`pop_15_plus`	Population 15 years and over	integer	0%	1	93985354
`pop_3_plus`	Population 3 years and over	integer	0%	1	119976584
`source`	Source	string	0%	1	INEGI Censo de Poblacion y Vivienda 2020 (ITER)
`source_url`	Source URL	string	0%	1	https://www.inegi.org.mx/programas/ccpv/2020/#datos_abiertos
`license`	Data license	string	0%	1	Terminos de Libre Uso de la Informacion del INEGI

1 Admin 1 — 1 table(s)

MEX INEGI - Census State — 32 rows, 44 columns

Loading data…

Field details — 44 fields (type, nulls, unique, samples)

Standards-Aligned Fields (36)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX
`admin_level`	Administrative level (admin_0..admin_3)	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_code`	Admin code	integer	SEL	0%	32	01, 02, 03, 04, 05
`admin_name`	Geographic unit name	string	SEL	0%	32	Aguascalientes, Baja California, Baja California Sur,...
`source_vintage`	Source vintage	integer	SEL	0%	1	2020, 2020, 2020, 2020, 2020
`population_total`	Total population	integer	SEL	0%	32	1425607, 3769020, 798447, 928363, 3146771
`population_male`	Male population	integer	SEL	0%	32	696683, 1900589, 405879, 456939, 1563669
`population_female`	Female population	integer	SEL	0%	32	728924, 1868431, 392568, 471424, 1583102
`population_0_14`	Population 0 to 14 years	integer	SEL	0%	32	385195, 878303, 197053, 241118, 824280
`population_15_64`	Population 15 to 64 years	integer	SEL	0%	32	941834, 2637218, 549039, 613113, 2086745
`population_65_plus`	Population 65 years and over	integer	SEL	0%	32	97070, 245280, 48513, 69838, 229587
`sex_ratio_men_per_100_women`	Sex ratio (men per 100 women)	float	SEL	0%	32	95.58, 101.72, 103.39, 96.93, 98.77
`pop_15_plus_illiterate`	Illiterate population 15 and over	integer	SEL	0%	32	21908, 52496, 13926, 39986, 38606
`literacy_rate_15_plus_pct`	Literacy rate, population 15 and over (%)	float	SEL	0%	32	97.89, 98.18, 97.67, 94.15, 98.33
`pop_15_plus_no_schooling`	Population 15+ with no schooling	integer	SEL	0%	32	25567, 88570, 19124, 46922, 49119
`pop_15_plus_secondary_complete`	Population 15+ with completed secondary education	integer	SEL	0%	32	288036, 721812, 138355, 172718, 668396
`pop_18_plus_post_basic`	Population 18+ with post-basic education	integer	SEL	0%	32	467249, 1338625, 292807, 285453, 1050411
`avg_schooling_years`	Average years of schooling	float	SEL	0%	32	10.35, 10.2, 10.34, 9.63, 10.43
`total_dwellings`	Total dwellings	integer	SEL	0%	32	463972, 1325949, 299873, 321634, 1078048
`occupied_private_dwellings`	Occupied private dwellings	integer	SEL	0%	32	386445, 1148913, 240468, 260725, 900883
`avg_occupants_per_dwelling`	Average occupants per dwelling	float	SEL	0%	29	3.68, 3.26, 3.3, 3.55, 3.48
`avg_occupants_per_room`	Average occupants per room	float	SEL	0%	23	0.89, 0.9, 1.01, 1.12, 0.84
`dwellings_with_electricity`	Occupied dwellings with electricity	integer	SEL	0%	32	384361, 1132622, 235285, 255453, 895921
`dwellings_with_piped_water`	Occupied dwellings with piped water	integer	SEL	0%	32	383430, 1117719, 226124, 248625, 889513
`dwellings_with_drainage`	Occupied dwellings with drainage	integer	SEL	0%	32	383148, 1101573, 231864, 245656, 886984
`dwellings_with_internet`	Occupied dwellings with internet	integer	SEL	0%	32	236003, 800189, 148723, 114020, 519599
`dwellings_with_computer`	Occupied dwellings with a computer	integer	SEL	0%	31	177149, 576454, 108948, 87769, 367970
`dwellings_with_cellphone`	Occupied dwellings with a cellphone	integer	SEL	0%	32	359895, 1080169, 226517, 218322, 824291
`pop_indigenous_language_3_plus`	Population 3+ speaking an indigenous language	integer	CCL	0%	32	2539, 49130, 13581, 91801, 5527
`indigenous_language_rate_pct`	Share of population 3+ speaking an indigenous language (%)	float	CCL	0%	30	0.19, 1.36, 1.79, 10.45, 0.19
+6 more standards-aligned fields — download the CSV/Parquet to see them all.

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

Field Name	Label	Type	Nulls	Unique	Samples
`pop_15_plus_primary_complete`	Population 15+ with completed primary education	integer	0%	32	122405, 343342, 65249, 77156, 268423

Pending (7) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`parent_admin_code`	parent_admin_code	string	100%	-	-
`avg_children_born_alive`	Average children ever born (women 12+)	float	0%	26	2.11, 1.9, 1.9, 2.1, 2.06
`pop_15_plus`	Population 15 years and over	integer	0%	32	1038904, 2882498, 597552, 682951, 2316332
`pop_3_plus`	Population 3 years and over	integer	0%	32	1352235, 3610844, 758642, 878528, 2980244
`source`	Source	string	0%	1	INEGI Censo de Poblacion y Vivienda 2020 (ITER), INEGI...
`source_url`	Source URL	string	0%	1	https://www.inegi.org.mx/programas/ccpv/2020/#datos_abier...
`license`	Data license	string	0%	1	Terminos de Libre Uso de la Informacion del INEGI,...

2 Admin 2 — 1 table(s)

MEX INEGI - Census Municipality — 2,469 rows, 44 columns

Loading data…

Field details — 44 fields (type, nulls, unique, samples)

Standards-Aligned Fields (36)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX
`admin_level`	Administrative level (admin_0..admin_3)	string	SEL	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`admin_code`	Admin code	integer	SEL	0%	100	01001, 01002, 01003, 01004, 01005
`admin_name`	Geographic unit name	string	SEL	0%	100	Aguascalientes, Asientos, Calvillo, Cosío, Jesús María
`source_vintage`	Source vintage	integer	SEL	0%	1	2020, 2020, 2020, 2020, 2020
`population_total`	Total population	integer	SEL	0%	99	948990, 51536, 58250, 17000, 129929
`population_male`	Male population	integer	SEL	0%	100	462073, 25261, 28563, 8292, 64219
`population_female`	Female population	integer	SEL	0%	100	486917, 26275, 29687, 8708, 65710
`population_0_14`	Population 0 to 14 years	integer	SEL	0%	100	240583, 16266, 16720, 5183, 38303
`population_15_64`	Population 15 to 64 years	integer	SEL	0%	100	639532, 31919, 35854, 10699, 84949
`population_65_plus`	Population 65 years and over	integer	SEL	0%	100	67941, 3331, 5641, 1118, 6538
`sex_ratio_men_per_100_women`	Sex ratio (men per 100 women)	float	SEL	0%	97	94.9, 96.14, 96.21, 95.22, 97.73
`pop_15_plus_illiterate`	Illiterate population 15 and over	integer	SEL	0%	99	11618, 1242, 1862, 371, 2175
`literacy_rate_15_plus_pct`	Literacy rate, population 15 and over (%)	float	SEL	0%	93	98.36, 96.48, 95.51, 96.86, 97.62
`pop_15_plus_no_schooling`	Population 15+ with no schooling	integer	SEL	0%	99	14576, 1223, 2114, 358, 2593
`pop_15_plus_secondary_complete`	Population 15+ with completed secondary education	integer	SEL	0%	99	182540, 13014, 13314, 4323, 24176
`pop_18_plus_post_basic`	Population 18+ with post-basic education	integer	SEL	0%	100	354455, 8892, 9402, 3721, 39383
`avg_schooling_years`	Average years of schooling	float	SEL	0%	93	10.84, 8.54, 8.05, 9.08, 10.22
`total_dwellings`	Total dwellings	integer	SEL	0%	100	313256, 15353, 20842, 4845, 41550
`occupied_private_dwellings`	Occupied private dwellings	integer	SEL	0%	100	266778, 12542, 15546, 3937, 33214
`avg_occupants_per_dwelling`	Average occupants per dwelling	float	SEL	0%	70	3.54, 4.1, 3.74, 4.32, 3.91
`avg_occupants_per_room`	Average occupants per room	float	SEL	0%	61	0.84, 1.07, 0.97, 1.14, 0.95
`dwellings_with_electricity`	Occupied dwellings with electricity	integer	SEL	0%	100	265785, 12420, 15398, 3906, 32977
`dwellings_with_piped_water`	Occupied dwellings with piped water	integer	SEL	0%	100	265232, 12390, 15364, 3900, 32845
`dwellings_with_drainage`	Occupied dwellings with drainage	integer	SEL	0%	100	265392, 12067, 15407, 3884, 32867
`dwellings_with_internet`	Occupied dwellings with internet	integer	SEL	0%	99	178619, 4526, 6553, 1741, 19920
`dwellings_with_computer`	Occupied dwellings with a computer	integer	SEL	0%	99	136923, 2826, 4003, 1005, 15687
`dwellings_with_cellphone`	Occupied dwellings with a cellphone	integer	SEL	0%	99	251719, 10682, 13666, 3424, 31408
`pop_indigenous_language_3_plus`	Population 3+ speaking an indigenous language	integer	CCL	0%	85	1839, 22, 76, 7, 158
`indigenous_language_rate_pct`	Share of population 3+ speaking an indigenous language (%)	float	CCL	0%	70	0.2, 0.05, 0.14, 0.04, 0.13
+6 more standards-aligned fields — download the CSV/Parquet to see them all.

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

Field Name	Label	Type	Nulls	Unique	Samples
`pop_15_plus_primary_complete`	Population 15+ with completed primary education	integer	0%	100	76256, 5057, 7694, 1419, 12055

Pending (7) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`parent_admin_code`	parent_admin_code	integer	0%	7	01, 01, 01, 01, 01
`avg_children_born_alive`	Average children ever born (women 12+)	float	0%	59	1.98, 2.62, 2.67, 2.51, 2.11
`pop_15_plus`	Population 15 years and over	integer	0%	100	707473, 35250, 41495, 11817, 91487
`pop_3_plus`	Population 3 years and over	integer	0%	100	903684, 48346, 55056, 15968, 122845
`source`	Source	string	0%	1	INEGI Censo de Poblacion y Vivienda 2020 (ITER), INEGI...
`source_url`	Source URL	string	0%	1	https://www.inegi.org.mx/programas/ccpv/2020/#datos_abier...
`license`	Data license	string	0%	1	Terminos de Libre Uso de la Informacion del INEGI,...

3 Admin 3 — 1 table(s)

MEX INEGI - Census Locality — 193,160 rows, 44 columns

Loading data…

Field details — 44 fields (type, nulls, unique, samples)

Standards-Aligned Fields (36)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX
`admin_level`	Administrative level (admin_0..admin_3)	string	SEL	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`admin_code`	Admin code	integer	SEL	0%	100	000009998, 000009999, 010009998, 010009999, 010010001
`admin_name`	Geographic unit name	string	SEL	0%	96	Localities with one dwelling, Localities with two...
`source_vintage`	Source vintage	integer	SEL	0%	1	2020, 2020, 2020, 2020, 2020
`population_total`	Total population	integer	SEL	0%	78	250354, 147125, 3697, 3021, 863893
`population_male`	Male population	integer	SEL	21%	70	153485, 85801, 2187, 2008, 419168
`population_female`	Female population	integer	SEL	21%	68	96869, 61324, 1510, 1013, 444725
`population_0_14`	Population 0 to 14 years	integer	SEL	21%	64	52523, 35025, 861, 577, 215478
`population_15_64`	Population 15 to 64 years	integer	SEL	21%	72	171209, 96250, 2524, 2241, 584491
`population_65_plus`	Population 65 years and over	integer	SEL	21%	47	26202, 15280, 312, 203, 63046
`sex_ratio_men_per_100_women`	Sex ratio (men per 100 women)	float	SEL	21%	74	158.45, 139.91, 144.83, 198.22, 94.25
`pop_15_plus_illiterate`	Illiterate population 15 and over	integer	SEL	21%	43	24331, 15092, 180, 113, 9245
`literacy_rate_15_plus_pct`	Literacy rate, population 15 and over (%)	float	SEL	21%	65	87.67, 86.47, 93.65, 95.38, 98.57
`pop_15_plus_no_schooling`	Population 15+ with no schooling	integer	SEL	21%	42	28014, 17660, 209, 119, 12055
`pop_15_plus_secondary_complete`	Population 15+ with completed secondary education	integer	SEL	21%	63	40180, 24056, 832, 807, 162823
`pop_18_plus_post_basic`	Population 18+ with post-basic education	integer	SEL	21%	58	33907, 19102, 722, 617, 336421
`avg_schooling_years`	Average years of schooling	float	SEL	21%	72	6.5, 6.45, 8.14, 8.37, 11.01
`total_dwellings`	Total dwellings	integer	SEL	0%	68	101390, 61435, 1368, 869, 286646
`occupied_private_dwellings`	Occupied private dwellings	integer	SEL	21%	61	62516, 36568, 807, 516, 246116
`avg_occupants_per_dwelling`	Average occupants per dwelling	float	SEL	21%	55	3.18, 3.42, 3.89, 3.72, 3.5
`avg_occupants_per_room`	Average occupants per room	float	SEL	21%	39	1.03, 1.03, 1.02, 1.03, 0.82
`dwellings_with_electricity`	Occupied dwellings with electricity	integer	SEL	21%	65	48426, 28586, 723, 477, 245301
`dwellings_with_piped_water`	Occupied dwellings with piped water	integer	SEL	21%	61	45470, 26499, 694, 463, 245236
`dwellings_with_drainage`	Occupied dwellings with drainage	integer	SEL	21%	60	47253, 26036, 719, 459, 245459
`dwellings_with_internet`	Occupied dwellings with internet	integer	SEL	21%	50	8385, 5027, 205, 146, 169675
`dwellings_with_computer`	Occupied dwellings with a computer	integer	SEL	21%	45	5797, 3588, 167, 114, 130384
`dwellings_with_cellphone`	Occupied dwellings with a cellphone	integer	SEL	21%	63	47005, 25581, 732, 470, 232793
`pop_indigenous_language_3_plus`	Population 3+ speaking an indigenous language	integer	CCL	21%	11	26486, 18640, 20, 14, 1716
`indigenous_language_rate_pct`	Share of population 3+ speaking an indigenous language (%)	float	CCL	21%	17	11.06, 13.34, 0.57, 0.48, 0.21
+6 more standards-aligned fields — download the CSV/Parquet to see them all.

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

Field Name	Label	Type	Nulls	Unique	Samples
`pop_15_plus_primary_complete`	Population 15+ with completed primary education	integer	21%	58	38809, 22033, 470, 409, 66688

Pending (7) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`parent_admin_code`	parent_admin_code	integer	0%	3	00000, 00000, 01000, 01000, 01001
`avg_children_born_alive`	Average children ever born (women 12+)	float	25%	58	1.95, 1.93, 2.33, 3.87, 2.58
`pop_15_plus`	Population 15 years and over	integer	21%	72	197411, 111530, 2836, 2444, 647537
`pop_3_plus`	Population 3 years and over	integer	21%	71	239441, 139757, 3532, 2902, 823490
`source`	Source	string	0%	1	INEGI Censo de Poblacion y Vivienda 2020 (ITER), INEGI...
`source_url`	Source URL	string	0%	1	https://www.inegi.org.mx/programas/ccpv/2020/#datos_abier...
`license`	Data license	string	0%	1	Terminos de Libre Uso de la Informacion del INEGI,...

MEX NGA GEOnet Names Server (GNS) MEX-NGA_GNS Language

2,515 rows · 3 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 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 — 3 table(s)

MEX Nga Gns - Language — 4 rows, 9 columns

Loading data…

Field details — 9 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	MEX, MEX, MEX, MEX
`gns_language_code`	gns_language_code	string	CCL	0%	4	spa, eng, fra, sme
`gns_language_name`	gns_language_name	string	CCL	0%	4	Spanish, English, French, Northern Sami
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	543836, 15, 2, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	99.9967, 0.0028, 0.0004, 0.0002
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0

MEX Nga Gns - Summary — 1 rows, 29 columns

Loading data…

Field details — 29 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	MEX
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Mexico
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9992
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	608856
`gns_feature_count`	gns_feature_count	integer	0%	1	474229
`gns_endonym_count`	gns_endonym_count	integer	0%	1	608851
`gns_exonym_count`	gns_exonym_count	integer	0%	1	5
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	362613
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	264636
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	123464
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	109319
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	16805
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	14004
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	88753
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	72619
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	11813
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	10860
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	284
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	266
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	5108
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	2511
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	16
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	14

MEX Nga Gns - Admin Crosswalk — 2,510 rows, 12 columns

Loading data…

Field details — 12 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	MEX, MEX, MEX, MEX, MEX

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	-1649887, -1652188, -1652190, -1654646, -1656965
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	88	Aguascalientes, Baja California, Baja California Sur,...
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	32	MX-AGU, MX-BCN, MX-BCS, MX-CAM, MX-CHP
`parent_code`	parent_code	string	0%	32	MX-AGU, MX-BCN, MX-BCS, MX-CAM, MX-CHP
`gns_prominence_band`	gns_prominence_band	integer	0%	3	5, 5, 5, 5, 5
`latitude`	latitude	float	0%	99	22.0, 30.0, 25.833333, 18.833333, 16.5
`longitude`	longitude	float	0%	99	-102.366667, -115.0, -111.833333, -90.25, -92.5
`gns_mgrs`	gns_mgrs	string	0%	100	13QGE7188435169, 11RPP9291520469, 12RVP1648357491,...
`name_variant_count`	name_variant_count	integer	0%	4	2, 5, 4, 2, 2

MEX Global Data Lab MEX-GDL Development Indices

1,122 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)

MEX GDL - Subnational Indices — 1,122 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	MEX, MEX, MEX, MEX, MEX
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	33	Total, Aguascalientes, Baja California, Baja California...
`human_development_index`	Human development index	float	SEL	0%	56	0.714, 0.732, 0.754, 0.75, 0.72
`health_index`	Health index	float	SEL	0%	64	0.754, 0.773, 0.791, 0.779, 0.793
`education_index`	Education index	float	SEL	0%	77	0.621, 0.63, 0.673, 0.683, 0.628
`income_index`	Income index	float	SEL	0%	53	0.776, 0.806, 0.805, 0.793, 0.751
`life_expectancy`	Life expectancy	float	SEL	0%	90	69.03, 70.24, 71.44, 70.66, 71.52
`mean_years_schooling`	Mean years schooling	float	SEL	0%	94	9.317, 9.842, 10.58, 10.58, 8.766

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	4	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

MEX Glottolog Language Catalog MEX-GLOTTOLOG Language

339 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 2 SEL 12 CCL 7 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)

MEX Glottolog - Languages — 339 rows, 16 columns

Loading data…

Field details — 21 fields (type, nulls, unique, samples)

Standards-Aligned Fields (14)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	acat1239, afro1254, alac1244, alba1273, alco1235
`name`	Name	string	CCL	0%	100	Acatepec Me'phaa, Afro-Seminole Creole, Alacatlatzala...
`iso639_3`	Iso639 3	string	CCL	6%	94	tpx, afs, mim, lsc, xta
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	5%	11	otom1299, indo1319, otom1299, sign1238, otom1299
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	5%	74	west2948, gull1243, nucl1835, deaf1237, nucl1835
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	3	['MX'], ['MX', 'US'], ['MX'], ['MX'], ['MX']
`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	3, 0, 5, 0, 2
`country_code`	Country code	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	3%	96	17.1034, 31.7843, 17.25, 17.06144, 17.3687
`longitude`	longitude	float	3%	96	-99.0602, -99.2934, -98.58, -96.29642, -98.3969
`classification`	classification	string	0%	1	[], [], [], [], []
`source`	source	string	0%	1	Glottolog 5.0, Glottolog 5.0, Glottolog 5.0, Glottolog...
`source_url`	source_url	string	0%	1	https://glottolog.org, https://glottolog.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	float	0%	1	2024, 2024, 2024, 2024, 2024

MEX LandScan Global (ORNL) MEX-LANDSCAN Modeled Population

215 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)

MEX 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	MEX
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Mexico
`admin_code`	Admin code	string	SEL	0%	1	44275189B25015451874596
`area_sqkm`	Area sqkm	float	SEL	0%	1	1965317.658
`pop_2024`	Population count	integer	SEL	0%	1	130660179
`pop_density_2024`	Population density	float	SEL	0%	1	66.48

1 Admin 1 — 1 table(s)

MEX LandScan - Population Admin1 (admin_1) — 32 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	MEX, MEX, MEX, MEX, MEX
`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%	32	Mexico, Distrito Federal, Jalisco, Veracruz de Ignacio...
`admin_code`	Admin code	string	SEL	0%	32	31927357B41082348713023, 31927357B79016588373767,...
`area_sqkm`	Area sqkm	float	SEL	0%	32	22352.2896, 1494.4257, 78594.0845, 70598.4985, 34306.7872
`pop_2024`	Population count	integer	SEL	0%	32	17629336, 9555752, 8662792, 8324329, 6826163
`pop_density_2024`	Population density	float	SEL	0%	32	788.7, 6394.26, 110.22, 117.91, 198.97

Locality Locality — 1 table(s)

MEX LandScan - Cities (locality) — 182 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	MEX, MEX, MEX, MEX, MEX
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Mexico City, Guadalajara, Monterrey, Puebla, Tijuana
`admin_code`	Admin code	integer	SEL	0%	100	5402, 3105, 6131, 5853, 507
`area_sqkm`	Area sqkm	float	SEL	0%	100	2122.8689, 594.9861, 682.1319, 373.0231, 293.1625
`pop_2024`	Population count	integer	SEL	0%	100	20326180, 4550520, 4186655, 2222775, 1789757
`pop_density_2024`	Population density	float	SEL	0%	100	9574.86, 7648.11, 6137.6, 5958.81, 6105.0

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	17639164, 4138350, 4011151, 1949860, 1538301
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	91	1.152, 1.1, 1.044, 1.14, 1.163

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

182 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)

MEX GHS-UCDB - Cities (locality) — 182 rows, 10 columns

Loading data…

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	Mexico City, Guadalajara, Monterrey, Puebla, Toluca
`country_code`	Country code	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX
`population`	Population count	integer	SEL	0%	100	17639164, 4138350, 4011151, 1949860, 1594046

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	5402, 3105, 6131, 5853, 5243
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	México, México, México, México, México
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MEX World Bank Open Data MEX-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2025 World Bank Open Data 0 1 2 3 19 SEL 4 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 — 2 table(s)

MEX World Bank - Development Indicators — 66 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	MX, MX, MX, MX, MX
`population_count`	Population count	float	SEL	2%	65	36724615.0, 37890118.0, 39129200.0, 40424065.0, 41772049.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	53.573, 54.422, 55.057, 55.501, 55.916
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	355.075199563018, 373.712216995471, 388.456702411498,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	61%	26	82.9899978637695, 87.5599975585938, 90.5400009155273,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	154.7, 148.3, 142.5, 137.0, 132.0
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	92%	5	43.2, 41.9, 43.9, 36.3, 29.6

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	Mexico, Mexico, Mexico, Mexico, Mexico
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

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

Loading data…

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	MX, MX, MX, MX, MX
`life_expectancy`	Life expectancy	float	SEL	3%	64	53.573, 54.422, 55.057, 55.501, 55.916
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	59	51.8, 50.2, 48.8, 47.7, 47.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	154.7, 148.3, 142.5, 137.0, 132.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	30	107.0, 100.0, 93.0, 88.0, 85.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.763, 6.777, 6.8, 6.817, 6.833
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	46.858, 46.753, 46.793, 46.79, 46.754
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	13.993, 13.345, 12.846, 12.462, 12.105
`physicians_per_1000`	Physicians per 1000	float	SEL	50%	32	0.988, 1.177, 1.333, 1.481, 1.58
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	49%	15	0.699999988079071, 1.0, 1.1000000238, 1.2000000477, 1.2000000477
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	25	44.0, 43.0, 40.0, 41.0, 52.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.24436522, 4.58201361, 4.83042812, 5.53978777, 5.6835022

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	Mexico, Mexico, Mexico, Mexico, Mexico
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

MEX UNHCR Refugee Data Finder MEX-UNHCR Migration

86 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 44 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 — 2 table(s)

MEX UNHCR - Hosted Populations — 54 rows, 28 columns

Loading data…

Field details — 28 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 (22) — 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%	-	-
`source`	source	string	0%	1	UNHCR Refugee Data Finder, UNHCR Refugee Data Finder,...
`source_url`	source_url	string	0%	1	https://www.unhcr.org/refugee-statistics/,...
`license`	license	string	0%	1	Open access with attribution, Open access with...
`country_code`	country_code	string	0%	1	MEX, MEX, MEX, MEX, MEX

MEX UNHCR - Origin Populations — 32 rows, 28 columns

Loading data…

Field details — 28 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 (22) — 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%	-	-
`source`	source	string	0%	1	UNHCR Refugee Data Finder, UNHCR Refugee Data Finder,...
`source_url`	source_url	string	0%	1	https://www.unhcr.org/refugee-statistics/,...
`license`	license	string	0%	1	Open access with attribution, Open access with...
`country_code`	country_code	string	0%	1	MEX, MEX, MEX, MEX, MEX

MEX D-PLACE MEX-DPLACE Ethnographic Societies

58 rows · 2 table(s) · 2024 D-PLACE 0 1 2 3 2 SEL 14 CCL 44 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 — 2 table(s)

MEX D-PLACE - Dplace Ea Societies — 29 rows, 22 columns

Loading data…

Field details — 22 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	MEX, MEX, MEX, MEX, MEX
`society_id`	Society id	string	CCL	0%	29	Nc34, Nc6, Nh1, Nh19, Ni1
`society_name`	Society name	string	CCL	0%	29	Kiliwa, Kumeyaay, Chiricahua, Cocopa, Tarahumara
`language_glottocode`	Language glottocode	string	CCL	0%	29	kili1268, kumi1248, mesc1238, coco1261, cent2131
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	22	EA001:4; EA002:3; EA003:3; EA004:0; EA005:0, EA001:5;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	24	EA006:1; EA007:8; EA008:2; EA009:2; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	19	EA028:1; EA029:1; EA030:2; EA031:NA; EA032:2, EA028:1;...
`political_complexity`	Political complexity	string	CCL	0%	16	EA033:1; EA034:1; EA035:5, EA033:1; EA034:1; EA035:5,...
`religion_importance`	Religion importance	string	CCL	0%	9	EA034:1; EA112:NA, EA034:1; EA112:1, EA034:1; EA112:1,...
`residence_pattern`	Residence pattern	string	CCL	0%	9	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:3,...

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Mexico, Mexico, Mexico, Mexico, Mexico
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	13	31.0, 32.0, 31.0, 32.0, 28.0
`longitude`	longitude	float	0%	18	-115.0, -116.0, -108.0, -115.0, -107.0
`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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	float	0%	1	2024, 2024, 2024, 2024, 2024

MEX D-PLACE - Dplace Ea Societies Decoded — 29 rows, 38 columns

Loading data…

Field details — 38 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX
`society_id`	Society id	string	CCL	0%	29	Nc34, Nc6, Nh1, Nh19, Ni1
`society_name`	Society name	string	CCL	0%	29	Kiliwa, Kumeyaay, Chiricahua, Cocopa, Tarahumara
`language_glottocode`	Language glottocode	string	CCL	0%	29	kili1268, kumi1248, mesc1238, coco1261, cent2131
`language_name`	Language name	string	CCL	0%	1	, , , ,

Extension Fields (33) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Mexico, Mexico, Mexico, Mexico, Mexico
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	13	31.0, 32.0, 31.0, 32.0, 28.0
`longitude`	longitude	float	0%	18	-115.0, -116.0, -108.0, -115.0, -107.0
`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
`mode_of_marriage`	mode_of_marriage	integer	0%	7	4, 5, 6, 2, 1
`family_organization`	family_organization	integer	0%	5	3, 4, 4, 2, 1
`marital_composition`	marital_composition	integer	0%	6	3, 1, 0, 2, 0
`community_marriage_org`	community_marriage_org	integer	0%	4	0, 0, 0, 0, 3
`kin_group_structure`	kin_group_structure	integer	0%	6	0, 0, 0, 4, 5
`mode_of_marriage_transaction`	mode_of_marriage_transaction	integer	14%	4	1, 1, 6, 2, 2
`bride_price_type`	bride_price_type	integer	14%	2	8, 8, 8, 8, 8
`ground_for_divorce`	ground_for_divorce	integer	17%	5	2, 7, 7, 2, 2
`ease_of_divorce`	ease_of_divorce	integer	17%	4	2, 4, 3, 2, 2
`marriage_arrangement`	marriage_arrangement	integer	7%	6	8, 8, 11, 9, 9
`predominant_subsistence`	predominant_subsistence	integer	31%	5	1, 1, 2, 5, 5
`gathering_dependence`	gathering_dependence	integer	31%	2	1, 1, 6, 6, 6
`hunting_dependence`	hunting_dependence	integer	31%	7	2, 2, 1, 5, 5
`fishing_dependence`	fishing_dependence	integer	72%	4	3, 5, 5, 7, 8
`animal_husbandry_dependence`	animal_husbandry_dependence	integer	31%	3	2, 3, 3, 3, 2
`jurisdictional_hierarchy`	jurisdictional_hierarchy	integer	38%	3	1, 1, 1, 1, 1
`community_integration`	community_integration	integer	55%	3	1, 1, 1, 1, 4
`settlement_pattern`	settlement_pattern	integer	52%	4	5, 5, 5, 5, 8
`high_gods`	high_gods	integer	41%	2	1, 1, 1, 1, 1
`residence_after_marriage`	residence_after_marriage	integer	7%	2	1, 1, 2, 1, 2
`community_residence`	community_residence	integer	7%	6	8, 8, 11, 8, 6
`norms_of_residence`	norms_of_residence	integer	7%	4	9, 3, 1, 9, 9
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
+3 more extension fields — download the CSV/Parquet to see them all.

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

32 rows · 1 table(s) · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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)

MEX Mobility by Region — 32 rows, 11 columns

Loading data…

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	MX, MX, MX, MX, MX
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	MEX, MEX, MEX, MEX, MEX

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	31	-11.4, -8.59, -9.92, -14.14, -1.23
`grocery`	grocery	float	0%	31	17.64, 19.63, 13.96, 16.06, 20.84
`parks`	parks	float	0%	32	-9.91, -17.2, -20.18, -28.49, -24.21
`transit`	transit	float	0%	32	-12.88, -0.94, 0.4, -11.97, -15.22
`workplaces`	workplaces	float	0%	32	-6.69, -3.18, -7.95, -4.01, -0.2
`residential`	residential	float	0%	32	6.33, 6.0, 5.73, 8.93, 7.49
`region`	region	string	0%	32	Aguascalientes, Baja California, Baja California Sur,...
`observation_count`	observation_count	integer	0%	1	974, 974, 974, 974, 974

MEX OpenFactBook MEX-OPENFACTBOOK Country Profile

17 rows · 17 table(s) · 2024 OpenFactBook 0 1 2 3 102 SEL 1 CCL 683 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 — 17 table(s)

MEX OpenFactBook - Communications — 1 rows, 21 columns

Loading data…

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	20.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	100.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.mx
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	81.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	21.0
`country_code`	Country code	string	SEL	0%	1	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`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	25.637 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	25.637
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	20 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	140 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	140.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	100 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	telecom reform in 2013 ended a quasi-monopoly; now 885...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2013.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	81% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	26.6 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	26.6
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	21 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - Economy — 1 rows, 153 columns

Loading data…

Field details — 158 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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	22000.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	1.853
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	36.3
`country_code`	Country code	string	SEL	0%	1	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (152) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper-middle-income economy; highly integrated with US...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$2.883 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	2.883
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$2.842 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	2.842
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$2.751 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	2.751
`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	1.5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	1.5
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	3.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	3.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	3.7% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	3.7
`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	$22,000 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$21,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	21900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$21,400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	21400.0
`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	$1.853 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	4.7% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	4.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	5.5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	5.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	7.9% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	7.9
`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	3.8% (2024 est.)
+122 more extension fields — download the CSV/Parquet to see them all.

MEX OpenFactBook - Energy — 1 rows, 69 columns

Loading data…

Field details — 69 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (65) — 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_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	99.8%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	99.8
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	100%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	100.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	105.586 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	105.586
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	332.042 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	332.042
`electricity_exports_text`	electricity_exports_text	string	0%	1	1.97 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	1.97
`electricity_imports_text`	electricity_imports_text	string	0%	1	4.863 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	4.863
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	45.47 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	45.47
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	79.6% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	79.6
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	3.2% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	3.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	4.2% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	4.2
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	5.7% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	5.7
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	5.2% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	5.2
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	1.1% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	1.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.0
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	2 (2025)
+35 more extension fields — download the CSV/Parquet to see them all.

MEX OpenFactBook - Environment — 1 rows, 54 columns

Loading data…

Field details — 60 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	50.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	34.2
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	81.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.4
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	53.1
`country_code`	Country code	string	SEL	0%	1	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (52) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	scarcity of hazardous waste disposal facilities; natural...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`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	none of the selected agreements
`climate_text`	climate_text	string	0%	1	varies from tropical to desert
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	50.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 38.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	38.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	34.2% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	15.1% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	15.1
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	81.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.4% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	441.049 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	441.049
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	32.087 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	32.087
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	228.279 million 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	228.279
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	180.684 million 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	180.684
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	17.8 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	17.8
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	1,389 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	1389.0
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	2,372.1 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

MEX OpenFactBook - Ethnic Groups — 1 rows, 8 columns

Loading data…

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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`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	Mexican(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Mexican
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestizo (Indigenous-Spanish) 62%, predominantly...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	62.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - Geography — 1 rows, 64 columns

Loading data…

Field details — 69 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	1964375.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1943945.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	20430.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4389.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	9330.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	5636.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-10.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	50.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	34.2
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	59910.0
`country_code`	Country code	string	SEL	0%	1	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (56) — 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 the Caribbean Sea and the Gulf...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	23 00 N, 102 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	23.0
`map_references_text`	map_references_text	string	0%	1	North America
`area_total_text`	area_total_text	string	0%	1	1,964,375 sq km
`area_land_text`	area_land_text	string	0%	1	1,943,945 sq km
`area_water_text`	area_water_text	string	0%	1	20,430 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than three times the size of Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,389 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Belize 276 km; Guatemala 958 km; US 3,155 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	276.0
`coastline_text`	coastline_text	string	0%	1	9,330 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	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	varies from tropical to desert
`terrain_text`	terrain_text	string	0%	1	high, rugged mountains; low coastal plains; high plateaus; desert
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Volcan Pico de Orizaba 5,636 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Laguna Salada -10 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	1,111 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1111.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, silver, antimony, copper, gold, lead, zinc,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	50.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.3
+26 more extension fields — download the CSV/Parquet to see them all.

MEX OpenFactBook - Government — 1 rows, 102 columns

Loading data…

Field details — 132 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	MEX
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (130) — 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 Mexican States
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Mexico
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Estados Unidos Mexicanos
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Mexico
`country_name_former_text`	country_name_former_text	string	0%	1	Mexican Republic, Mexican Empire
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name may derive from one of the Nahuatl (Aztec) names...
`government_type_text`	government_type_text	string	0%	1	federal presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Mexico City (Ciudad de Mexico)
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	19 26 N, 99 08 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	19.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-6 (1 hour behind Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-6.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	DST was permanently removed in October 2022
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	2022.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	Mexico has four time zones
`capital_etymology_text`	capital_etymology_text	string	0%	1	name may derive from one of the Nahuatl (Aztec) names...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	32 states (estados, singular - estado); Aguascalientes,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	32.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system with US constitutional law influence;...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest approved 5 February 1917
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	5.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Congress of the Union; passage requires...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`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	not specified
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal and compulsory
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
+100 more extension fields — download the CSV/Parquet to see them all.

MEX OpenFactBook - Introduction — 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`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	Mexico was the site of several advanced Amerindian...
`background_numeric`	background_numeric	float	0%	1	16.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - Languages — 1 rows, 7 columns

Loading data…

Field details — 8 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Spanish only 93.8%, Spanish and indigenous languages...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	93.8
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - Migration — 1 rows, 11 columns

Loading data…

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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — 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	417,546 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	417546.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	390,250 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	390250.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	13 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	13.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - Military And Security — 1 rows, 20 columns

Loading data…

Field details — 25 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — 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	the Mexican Armed Forces (Fuerzas Armadas de México) are...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	0.9% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.9
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.7% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.7% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.7% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.6% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.6
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; approximately 260,000 active-duty...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	260000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Mexican military inventory includes a mix of...
`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	18 years of age (16 with parental consent) for voluntary...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the Mexican military is responsible for defending the...
`military_note_numeric`	military_note_numeric	float	0%	1	2019.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - People And Society — 1 rows, 137 columns

Loading data…

Field details — 150 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	130739927.0
`population_male_numeric`	Population male	float	SEL	0%	1	63899138.0
`population_female_numeric`	Population female	float	SEL	0%	1	66840789.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	23.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	68.6
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	8.2
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	45.9
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	33.9
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	11.9
`median_age_total_numeric`	Median age	float	SEL	0%	1	31.0
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.81
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	14.73
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.04
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.59
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	81.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.4
`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	0.96
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	42.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	12.3
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	74.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.85
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.9
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.59
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.0
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	95.0
`country_code`	Country code	string	SEL	0%	1	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (121) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	130,739,927 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	63,899,138
`population_female_text`	population_female_text	string	0%	1	66,840,789
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	23.3% (male 15,647,805/female 14,754,004)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	68.6% (male 43,651,105/female 45,983,174)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	8.2% (2024 est.) (male 4,600,228/female 6,103,611)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	45.9 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	33.9 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	11.9 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	8.4 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	8.4
`median_age_total_text`	median_age_total_text	string	0%	1	31 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	28.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	28.8
`median_age_female_text`	median_age_female_text	string	0%	1	32.7 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	32.7
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.81% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	14.73 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.04 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.59 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of the population is found in the middle of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	81.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.4% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	22.281 million MEXICO CITY (capital), 5.420 million...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	22.281
`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	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.95 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.95
+91 more extension fields — download the CSV/Parquet to see them all.

MEX OpenFactBook - Religions — 1 rows, 6 columns

Loading data…

Field details — 22 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	Mestizo (Indigenous-Spanish)	string	CCL	0%	-	Mestizo (Indigenous-Spanish)

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	Catholic 77.7%, no religion 10.6%, other Evangelical...
`religions_numeric`	religions_numeric	float	0%	1	77.7
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

Pending (14) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	77.7
`composition_religion_no_religion_pct_synth`	no religion	numeric	0%	-	10.6
`composition_religion_other_evangelical_churches_pct_synth`	other Evangelical Churches	numeric	0%	-	7.5
`composition_religion_jehovah_witness_less_than_1_percent_pentecostal_pct_synth`	Jehovah Witness ; less than 1 percent: Pentecostal	numeric	0%	-	1.2
`composition_religion_seventh_day_adventist_pct_synth`	Seventh Day Adventist	numeric	0%	-	-
`composition_religion_historics_pct_synth`	Historics	numeric	0%	-	-
`composition_religion_not_specified_pct_synth`	not specified	numeric	0%	-	-
`composition_religion_latter_day_saints_pct_synth`	Latter Day Saints	numeric	0%	-	-
`composition_religion_other_religions_pct_synth`	other religions	numeric	0%	-	-
`composition_ethnicity_mestizo_indigenous_spanish_pct_synth`	Mestizo (Indigenous-Spanish)	numeric	0%	-	62.0
`composition_ethnicity_predominantly_indigenous_pct_synth`	predominantly Indigenous	numeric	0%	-	21.0
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	7.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	10.0
`composition_ethnicity_primary_share_pct_synth`	Mestizo (Indigenous-Spanish)	numeric	0%	-	62.0

MEX OpenFactBook - Space — 1 rows, 8 columns

Loading data…

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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — 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	Mexican Space Agency (Agencia Espacial Mexicana or AEM;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2010.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a national space policy with a focus on expanding...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1962-1977 - sounding rocket program1985 - first Mexican...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1962.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`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	Gulf Cartel (CDG); Jalisco Cartel New Generation (CJNG);...
`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/mx.json

MEX OpenFactBook - Transnational Issues — 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	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`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
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major illicit drug-producing and/or drug-transit...
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX OpenFactBook - Transportation — 1 rows, 31 columns

Loading data…

Field details — 33 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	XA
`airports_numeric`	Airports count	float	SEL	0%	1	1580.0
`country_code`	Country code	string	SEL	0%	1	MEX
`country_name`	Country name	string	SEL	0%	1	Mexico
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	1,580 (2025)
`heliports_text`	heliports_text	string	0%	1	488 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	488.0
`railways_total_text`	railways_total_text	string	0%	1	23,389 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	23389.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	23,389 km (2017) 1.435-m gauge (27 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	23389.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	674 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	674.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 4, general cargo 11, oil tanker 32, other 627
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	4.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	35 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	35.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	7
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	7.0
`ports_small_text`	ports_small_text	float	0%	1	10
`ports_small_numeric`	ports_small_numeric	float	0%	1	10.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	14
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	14.0
`ports_size_unknown_text`	ports_size_unknown_text	float	0%	1	4
`ports_size_unknown_numeric`	ports_size_unknown_numeric	float	0%	1	4.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	21
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	21.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Acapulco, Ensenada, Manzanillo, Mazatlan, Tampico,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	north-america/mx.json

MEX USAID DHS Program MEX-DHS Health Surveys

5 rows · 1 table(s) · 1987 USAID DHS Program 0 1 2 3 5 SEL 5 ext ▶

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)

MEX DHS - Health Indicators — 5 rows, 10 columns

Loading data…

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	5	34.4, 34.7, 25.2, 22.6, 30.7
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	5	48.0, 37.0, 73.0, 64.0, 44.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	5	62.0, 46.0, 93.0, 74.0, 61.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	5	20.3, 26.7, 21.6, 17.6, 20.4

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Mexico, Mexico, Mexico, Mexico, Mexico
`survey_year`	survey_year	integer	0%	1	1987, 1987, 1987, 1987, 1987
`region`	region	string	0%	5	Zona I, Zona II, Zona III, Zona IV, Zona V
`survey_id`	survey_id	string	0%	1	MX1987DHS, MX1987DHS, MX1987DHS, MX1987DHS, MX1987DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MEX Ethnic Power Relations Dataset MEX-EPR Political Ethnicity

4 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)

MEX EPR - Groups — 4 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	MEX, MEX, MEX, MEX
`ethnic_group_name`	Ethnic group name	string	CCL	0%	4	Mestizos, Other indigenous groups, Afromexicans, Maya
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	4	0.801, 0.142, 0.05, 0.007
`ethnic_group_id`	Ethnic group id	float	CCL	0%	4	7001000, 7003000, 7009000, 7002000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	, 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
`group_relevance`	group_relevance	string	0%	1	, , ,

MEX Global Organized Crime Index MEX-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)

MEX Organized Crime Scores 2025 — 1 rows, 35 columns

Loading data…

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	MEX
`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	98
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	4
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	4
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	6
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	8.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	8
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	6
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	integer	0%	1	8
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	8
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	2
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	9
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	9
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	24
`oc_criminal_actors_2023`	oc_criminal_actors_2023	integer	0%	1	7
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	7.13
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	1
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	8.13
`oc_criminal_markets_2021`	oc_criminal_markets_2021	integer	0%	1	8
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	3
`oc_criminal_networks_2023`	oc_criminal_networks_2023	integer	0%	1	9
`oc_criminal_networks_2021`	oc_criminal_networks_2021	integer	0%	1	9
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	3
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	7.57
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	7.56
`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.

MEX World Values Survey MEX-WVS Attitudes Values

1 rows · 2 table(s) · 2022 World Values Survey 0 1 2 3 2 SEL 29 CCL 118 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 — 2 table(s)

MEX WVS - Country Aggregates — 1 rows, 26 columns

Loading data…

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	MEX

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

MEX WVS - Survey Aggregates — 1 rows, 121 columns

Loading data…

Field details — 123 fields (type, nulls, unique, samples)

Standards-Aligned Fields (30)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MEX
`importance_family_mean`	Importance family mean	float	CCL	0%	1	1.035
`importance_friends_mean`	Importance friends mean	float	CCL	0%	1	1.914
`importance_leisure_mean`	Importance leisure mean	float	CCL	0%	1	2.854
`importance_politics_mean`	Importance politics mean	float	CCL	0%	1	1.31
`importance_religion_mean`	Importance religion mean	float	CCL	0%	1	1.848
`happiness_mean`	Happiness mean	float	CCL	0%	1	1.503
`freedom_of_choice_mean`	Freedom of choice mean	float	CCL	0%	1	8.164
`life_satisfaction_mean`	Life satisfaction mean	float	CCL	0%	1	8.137
`trust_most_people_mean`	Trust most people mean	float	CCL	0%	1	1.897
`trust_family_mean`	Trust family mean	float	CCL	0%	1	1.356
`trust_neighbors_mean`	Trust neighbors mean	float	CCL	0%	1	2.505
`trust_people_know_personally_mean`	Trust people know personally mean	float	CCL	0%	1	2.632
`trust_strangers_mean`	Trust strangers mean	float	CCL	0%	1	3.409
`trust_other_religion_mean`	Trust other religion mean	float	CCL	0%	1	2.973
`trust_other_nationality_mean`	Trust other nationality mean	float	CCL	0%	1	3.179
`confidence_parliament_mean`	Confidence parliament mean	float	CCL	0%	1	2.166
`confidence_government_mean`	Confidence government mean	float	CCL	0%	1	2.447
`confidence_press_mean`	Confidence press mean	float	CCL	0%	1	3.005
`confidence_police_mean`	Confidence police mean	float	CCL	0%	1	3.19
`confidence_courts_mean`	Confidence courts mean	float	CCL	0%	1	3.172
`gender_jobs_scarce_men_priority_mean`	Gender jobs scarce men priority mean	float	CCL	0%	1	2.968
`gender_men_better_political_leaders_mean`	Gender men better political leaders mean	float	CCL	0%	1	3.095
`gender_university_more_important_for_boys_mean`	Gender university more important for boys mean	float	CCL	0%	1	3.106
`immigration_policy_mean`	Immigration policy mean	float	CCL	0%	1	2.998
`immigrants_take_jobs_mean`	Immigrants take jobs mean	float	CCL	0%	1	1.056
`immigrants_increase_crime_mean`	Immigrants increase crime mean	float	CCL	0%	1	1.133
`justifiable_homosexuality_mean`	Justifiable homosexuality mean	float	CCL	0%	1	4.339
`justifiable_divorce_mean`	Justifiable divorce mean	float	CCL	0%	1	3.251
`importance_democracy_mean`	Importance democracy mean	float	CCL	0%	1	8.306

Extension Fields (93) — 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
`respondents`	respondents	integer	0%	1	1741
`source`	source	string	0%	1	World Values Survey Wave 7
`importance_family_n`	importance_family_n	integer	0%	1	1741
`importance_family_domain`	importance_family_domain	string	0%	1	cultural_practice
`importance_friends_n`	importance_friends_n	integer	0%	1	1740
`importance_friends_domain`	importance_friends_domain	string	0%	1	cultural_practice
`importance_leisure_n`	importance_leisure_n	integer	0%	1	1737
`importance_leisure_domain`	importance_leisure_domain	string	0%	1	cultural_practice
`importance_politics_n`	importance_politics_n	integer	0%	1	1740
`importance_politics_domain`	importance_politics_domain	string	0%	1	cultural_practice
`importance_religion_n`	importance_religion_n	integer	0%	1	1739
`importance_religion_domain`	importance_religion_domain	string	0%	1	religion
`happiness_n`	happiness_n	integer	0%	1	1741
`happiness_domain`	happiness_domain	string	0%	1	cultural_practice
`freedom_of_choice_n`	freedom_of_choice_n	integer	0%	1	1739
`freedom_of_choice_domain`	freedom_of_choice_domain	string	0%	1	cultural_practice
`life_satisfaction_n`	life_satisfaction_n	integer	0%	1	1740
`life_satisfaction_domain`	life_satisfaction_domain	string	0%	1	cultural_practice
`trust_most_people_n`	trust_most_people_n	integer	0%	1	1738
`trust_most_people_domain`	trust_most_people_domain	string	0%	1	social_structure
`trust_family_n`	trust_family_n	integer	0%	1	1741
`trust_family_domain`	trust_family_domain	string	0%	1	social_structure
`trust_neighbors_n`	trust_neighbors_n	integer	0%	1	1738
`trust_neighbors_domain`	trust_neighbors_domain	string	0%	1	social_structure
`trust_people_know_personally_n`	trust_people_know_personally_n	integer	0%	1	1740
`trust_people_know_personally_domain`	trust_people_know_personally_domain	string	0%	1	social_structure
`trust_strangers_n`	trust_strangers_n	integer	0%	1	1740
`trust_strangers_domain`	trust_strangers_domain	string	0%	1	social_structure
+63 more extension fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
INEGI Indicators (National Institute of Statistics & Geography, Mexico)	official_nso	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Google	commercial	bulk_download
Global Data Lab	academic	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Values Survey	academic	metadata_catalog
Ethnic Power Relations Dataset	academic	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	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