Mexico

MEX INEGI Indicators MEX-INEGI Census

195,662 rows · 4 tables · 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

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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

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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

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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

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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

2,444 rows · 3 tables · 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 — 1 rows, 9 columns

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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
`gns_language_code`	gns_language_code	string	CCL	0%	1	spa
`gns_language_name`	gns_language_name	string	CCL	0%	1	Spanish
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	1	107777
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	1	100.0
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	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

MEX NGA GNS - Summary — 1 rows, 29 columns

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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	1
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	100.0
`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	112428
`gns_feature_count`	gns_feature_count	integer	0%	1	90949
`gns_endonym_count`	gns_endonym_count	integer	0%	1	112428
`gns_exonym_count`	gns_exonym_count	integer	0%	1	0
`gns_source_build_date`	gns_source_build_date	string	0%	1	Mon, 21 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-21
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	63245
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	55913
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	23382
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	18726
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1766
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1478
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	17307
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	10640
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1637
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1571
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	179
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	174
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	4905
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	2442
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	7
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	5

MEX NGA GNS - Admin Crosswalk — 2,442 rows, 12 columns

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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	14529339, 14482078, 14490226, 14493275, 14490308
`admin_designation`	admin_designation	string	0%	1	ADM2, ADM2, ADM2, ADM2, ADM2
`gns_bgn_name`	gns_bgn_name	string	0%	88	Abalá, Abasolo, Abasolo, Abasolo, Abasolo
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	23	MX-YUC, MX-GUA, MX-NLE, MX-TAM, MX-COA
`parent_code`	parent_code	string	0%	23	MX-YUC, MX-GUA, MX-NLE, MX-TAM, MX-COA
`gns_prominence_band`	gns_prominence_band	integer	0%	2	2, 2, 2, 2, 2
`latitude`	latitude	float	0%	100	20.652542, 20.491288, 25.940462, 24.150603, 27.110892
`longitude`	longitude	float	0%	100	-89.652656, -101.532394, -100.407221, -98.232466, -101.251607
`gns_mgrs`	gns_mgrs	string	0%	100	16QBH2360585952, 14QKH3586567893, 14RLP5908969847,...
`name_variant_count`	name_variant_count	integer	0%	1	2, 2, 2, 2, 2

MEX Glottolog Language Catalog MEX-GLOTTOLOG Language

339 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 8 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

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

Standards-Aligned Fields (13)

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%	-	-
`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 (8) — 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
`country_codes`	Country codes	string	0%	3	['MX'], ['MX', 'US'], ['MX'], ['MX'], ['MX']
`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 tables · 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

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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

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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

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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 World Bank Open Data MEX-WORLD_BANK Development Indicators

198 rows · 3 tables · 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 — 3 table(s)

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

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

Standards-Aligned Fields (7)

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

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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 World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	MEX, MEX, MEX, MEX, MEX
`country_name`	country_name	string	0%	1	Mexico, Mexico, Mexico, Mexico, Mexico
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	701513.0, 458051.0, 526172.0, 701803.0, 957593.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	0.8, 0.5, 0.5, 0.7, 0.8
`net_migration`	net_migration	float	0%	66	-85591.0, -56174.0, -59833.0, -66515.0, -72581.0
`remittances_received_usd`	remittances_received_usd	float	29%	47	177000000.0, 1039000000.0, 1220000000.0, 1226000000.0,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	29%	47	0.131567307692308, 0.505406596881564, 0.462475377411061,...
`remittances_paid_usd`	remittances_paid_usd	float	76%	16	11000000.0, 19000000.0, 7000000.0, 748784364.0, 715177445.0

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

182 rows · 1 table · 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

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	100	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 UNHCR Refugee Data Finder MEX-UNHCR Migration

86 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 44 ext ▶

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0 Admin 0 — 2 table(s)

MEX UNHCR - Hosted Populations — 54 rows, 28 columns

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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

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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 tables · 2024 D-PLACE 0 1 2 3 2 SEL 16 CCL 55 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, 23 columns

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Field details — 23 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	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%	10	EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	23	EA006:1; EA007:8; EA008:2; EA009:2; EA023:8; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	27	EA001:4; EA002:3; EA003:3; EA004:0; EA005:0; EA028:1;...
`political_complexity`	Political complexity	string	CCL	0%	9	EA032:2; EA033:1, EA032:3; EA033:1, EA032:3; EA033:1,...
`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%	12	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	12	EA030:2; EA031:NA, EA030:2; EA031:3, EA030:1; EA031:NA,...

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, 49 columns

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Field details — 50 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, 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	, , , ,
`settlement_pattern`	settlement_pattern	integer	CCL	52%	4	5, 5, 5, 5, 8

Extension Fields (44) — 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
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	31%	3	2, 3, 3, 3, 2
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	38%	3	1, 1, 1, 1, 1
`religion_high_gods`	religion_high_gods	integer	55%	3	1, 1, 1, 1, 4
`trance_states`	trance_states	integer	41%	2	1, 1, 1, 1, 1
`settlement_patterns`	settlement_patterns	integer	31%	7	2, 2, 1, 5, 5
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	72%	4	3, 5, 5, 7, 8
`marital_residence_first_years`	marital_residence_first_years	integer	7%	6	8, 8, 11, 9, 9
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	7%	2	1, 1, 2, 1, 2
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	7%	6	8, 8, 11, 8, 6
`residence_transfer_alternate`	residence_transfer_alternate	integer	7%	4	9, 3, 1, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	7%	5	11, 9, 10, 11, 2
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	4, 4, 1, 4, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	4, 4, 1, 4, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	4	9, 9, 1, 9, 2
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	5	5, 5, 4, 5, 4
`descent_major_type`	descent_major_type	integer	0%	3	1, 1, 6, 1, 6
+14 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 · 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

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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 tables · 2024 OpenFactBook 0 1 2 3 100 SEL 1 CCL 685 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

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

Standards-Aligned Fields (7)

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_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 (15) — 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_country_code_text`	Internet country code text	string	0%	1	.mx
`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

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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

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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

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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

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

Standards-Aligned Fields (3)

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

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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

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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

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

Standards-Aligned Fields (3)

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

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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

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

Standards-Aligned Fields (3)

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

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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

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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

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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

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

Standards-Aligned Fields (3)

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

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

Standards-Aligned Fields (3)

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

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

Standards-Aligned Fields (3)

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

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Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`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 (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	XA
`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 · 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

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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 INFORM Risk Index (EC-JRC) MEX-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 273 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

MEX Inform - Risk Index — 1 rows, 273 columns

Loading data…

Field details — 273 fields (type, nulls, unique, samples)

Pending (273) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	MEX
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	73285.7142857143
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.142857142857143
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0562432324960478
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	1943950.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.0
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.182258265221525
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	5.9
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	3.51359629631042
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	3.5
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	2.7
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	3.4
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	5.5
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	4.2
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	3.6
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	5.1
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	3.9
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.5
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	3.5
`inform_cc_inf_com`	Communication	float	0%	1	1.7
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	4.3
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	0.9
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	1.7
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	3.0
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.1
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	8.2
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.8
`inform_institutional_capacity`	Institutional	float	0%	1	4.2
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	1.9
+243 more pending 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
Google	commercial	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	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
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