Guatemala

GTM Instituto Nacional de Estadistica (INE Guatemala) GTM-INE_GUATEMALA Census

20,399 rows · 4 table(s) Instituto Nacional de Estadistica (INE Guatemala) 0 1 2 3 20 SEL 14 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)

GTM Ine Guatemala - Gtm 2018 Censo (admin_0) — 1 rows, 7 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	1	GTM
`admin_name`	Admin name	string	SEL	0%	1	Guatemala
`population_count`	Population count	integer	SEL	0%	1	14901286
`population_male`	Population male	integer	SEL	0%	1	7223096
`population_female`	Population female	integer	SEL	0%	1	7678190

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2018

1 Admin 1 — 1 table(s)

GTM Ine Guatemala - Gtm 2018 Censo (admin_1) — 22 rows, 7 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	integer	SEL	0%	22	1, 2, 3, 4, 5
`admin_name`	Admin name	string	SEL	0%	22	Guatemala, El Progreso, Sacatepéquez, Chimaltenango, Escuintla
`population_count`	Population count	integer	SEL	0%	22	3015081, 176632, 330469, 615776, 733181
`population_male`	Population male	integer	SEL	0%	22	1449203, 87172, 161691, 297154, 365507
`population_female`	Population female	integer	SEL	0%	22	1565878, 89460, 168778, 318622, 367674

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018

2 Admin 2 — 1 table(s)

GTM Ine Guatemala - Gtm 2018 Censo (admin_2) — 340 rows, 9 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	integer	SEL	0%	100	101, 102, 103, 104, 105
`admin_name`	Admin name	string	SEL	0%	100	Guatemala, Santa Catarina Pinula, San José Pinula, San...
`population_count`	Population count	integer	SEL	0%	100	923392, 80582, 79844, 7229, 70973
`population_male`	Population male	integer	SEL	0%	100	438695, 38174, 38661, 3493, 34608
`population_female`	Population female	integer	SEL	0%	100	484697, 42408, 41183, 3736, 36365

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`dept_code`	dept_code	integer	0%	7	1, 1, 1, 1, 1
`dept_name`	dept_name	string	0%	7	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala

3 Admin 3 — 1 table(s)

GTM Ine Guatemala - Gtm 2018 Censo (admin_3) — 20,036 rows, 11 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	integer	SEL	0%	100	101001, 101002, 101003, 101004, 101005
`admin_name`	Admin name	string	SEL	0%	98	Zona Municipal 1, Zona Municipal 2, Zona Municipal 3,...
`population_count`	Population count	integer	SEL	0%	91	46215, 24185, 41148, 2375, 52970
`population_male`	Population male	integer	SEL	0%	85	22129, 11175, 19608, 1348, 24870
`population_female`	Population female	integer	SEL	0%	90	24086, 13010, 21540, 1027, 28100

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`dept_code`	dept_code	integer	0%	1	1, 1, 1, 1, 1
`dept_name`	dept_name	string	0%	1	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala
`mpio_code`	mpio_code	integer	0%	2	101, 101, 101, 101, 101
`mpio_name`	mpio_name	string	0%	2	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala

GTM HDX COD — Population Statistics (OCHA/UNFPA) GTM-COD_PS Census Derived Population

363 rows · 3 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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)

GTM Cod Ps - Gtm Codps (admin_0) — 1 rows, 52 columns

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Field details — 52 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	GT
`region_name`	Region name	string	SEL	0%	1	Guatemala
`F_TL`	Female population	integer	SEL	0%	1	9065753
`M_TL`	Male population	integer	SEL	0%	1	8777379
`T_TL`	Total population	integer	SEL	0%	1	17843132

Pending (47) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2024
`F_00_04`	Female population age 0-4	integer	0%	1	898599
`F_05_09`	Female population age 5-9	integer	0%	1	916157
`F_10_14`	Female population age 10-14	integer	0%	1	890378
`F_15_19`	Female population age 15-19	integer	0%	1	861745
`F_20_24`	Female population age 20-24	integer	0%	1	866285
`F_25_29`	Female population age 25-29	integer	0%	1	810499
`F_30_34`	Female population age 30-34	integer	0%	1	736643
`F_35_39`	Female population age 35-39	integer	0%	1	632227
`F_40_44`	Female population age 40-44	integer	0%	1	530359
`F_45_49`	Female population age 45-49	integer	0%	1	450890
`F_50_54`	Female population age 50-54	integer	0%	1	371068
`F_55_59`	Female population age 55-59	integer	0%	1	294536
`F_60_64`	Female population age 60-64	integer	0%	1	238099
`F_65_69`	Female population age 65-69	integer	0%	1	188582
`F_70Plus`	F_70Plus	integer	0%	1	379686
`M_00_04`	Male population age 0-4	integer	0%	1	939148
`M_05_09`	Male population age 5-9	integer	0%	1	955577
`M_10_14`	Male population age 10-14	integer	0%	1	926341
`M_15_19`	Male population age 15-19	integer	0%	1	890212
`M_20_24`	Male population age 20-24	integer	0%	1	879712
`M_25_29`	Male population age 25-29	integer	0%	1	804779
`M_30_34`	Male population age 30-34	integer	0%	1	713477
`M_35_39`	Male population age 35-39	integer	0%	1	594213
`M_40_44`	Male population age 40-44	integer	0%	1	479206
`M_45_49`	Male population age 45-49	integer	0%	1	387396
`M_50_54`	Male population age 50-54	integer	0%	1	307874
`M_55_59`	Male population age 55-59	integer	0%	1	241629
`M_60_64`	Male population age 60-64	integer	0%	1	192365
+17 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

GTM Cod Ps - Gtm Codps (admin_1) — 22 rows, 52 columns

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Field details — 52 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	22	GT16, GT15, GT04, GT20, GT02
`region_name`	Region name	string	SEL	0%	22	Alta Verapaz, Baja Verapaz, Chimaltenango, Chiquimula,...
`F_TL`	Female population	integer	SEL	0%	22	715596, 176790, 387349, 239979, 100261
`M_TL`	Male population	integer	SEL	0%	22	716836, 173288, 396997, 225088, 97868
`T_TL`	Total population	integer	SEL	0%	22	1432432, 350078, 784346, 465067, 198129

Pending (47) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	22	81226, 18814, 37101, 24903, 9325
`F_05_09`	Female population age 5-9	integer	0%	22	81461, 19127, 38499, 25557, 9535
`F_10_14`	Female population age 10-14	integer	0%	22	81411, 18671, 37914, 25138, 9302
`F_15_19`	Female population age 15-19	integer	0%	22	75200, 17476, 37480, 24097, 8513
`F_20_24`	Female population age 20-24	integer	0%	22	72783, 17437, 38976, 23080, 8866
`F_25_29`	Female population age 25-29	integer	0%	22	69030, 16793, 37589, 19642, 9149
`F_30_34`	Female population age 30-34	integer	0%	22	55590, 14432, 33420, 17535, 8124
`F_35_39`	Female population age 35-39	integer	0%	22	45334, 11570, 27204, 14655, 6933
`F_40_44`	Female population age 40-44	integer	0%	22	37882, 9312, 21847, 12746, 5812
`F_45_49`	Female population age 45-49	integer	0%	22	31111, 7758, 19550, 10782, 4983
`F_50_54`	Female population age 50-54	integer	0%	22	24584, 6316, 16574, 9043, 4414
`F_55_59`	Female population age 55-59	integer	0%	22	17030, 5234, 12576, 7419, 3731
`F_60_64`	Female population age 60-64	integer	0%	22	12976, 4300, 9302, 6903, 3008
`F_65_69`	Female population age 65-69	integer	0%	22	10245, 3296, 6881, 5662, 2606
`F_70Plus`	F_70Plus	integer	0%	22	19733, 6254, 12436, 12817, 5960
`M_00_04`	Male population age 0-4	integer	0%	22	84950, 19661, 38876, 26001, 9645
`M_05_09`	Male population age 5-9	integer	0%	22	85102, 19933, 40213, 26619, 9600
`M_10_14`	Male population age 10-14	integer	0%	22	84986, 19341, 39789, 26028, 9288
`M_15_19`	Male population age 15-19	integer	0%	22	78413, 18095, 39805, 24566, 8626
`M_20_24`	Male population age 20-24	integer	0%	22	74920, 17998, 41605, 23228, 9139
`M_25_29`	Male population age 25-29	integer	0%	22	69179, 16998, 40618, 19331, 9643
`M_30_34`	Male population age 30-34	integer	0%	22	53547, 14174, 36245, 16490, 8520
`M_35_39`	Male population age 35-39	integer	0%	22	43006, 11394, 29106, 12480, 7234
`M_40_44`	Male population age 40-44	integer	0%	22	35865, 8654, 22295, 10210, 5730
`M_45_49`	Male population age 45-49	integer	0%	22	29170, 6469, 18677, 8393, 4622
`M_50_54`	Male population age 50-54	integer	0%	22	22381, 5217, 14673, 6735, 3890
`M_55_59`	Male population age 55-59	integer	0%	22	15331, 4057, 10746, 5498, 3014
`M_60_64`	Male population age 60-64	integer	0%	22	11779, 3434, 7856, 4967, 2298
+17 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

GTM Cod Ps - Gtm Codps (admin_2) — 340 rows, 52 columns

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Field details — 52 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	GT1612, GT1614, GT1613, GT1601, GT1615
`region_name`	Region name	string	SEL	0%	100	Cahabón, Chahal, Chisec, Cobán, Fray Bartolomé de Las Casas
`F_TL`	Female population	integer	SEL	0%	99	36653, 15718, 54298, 122078, 41545
`M_TL`	Male population	integer	SEL	0%	100	37150, 15736, 56884, 119849, 41710
`T_TL`	Total population	integer	SEL	0%	100	73803, 31454, 111182, 241927, 83255

Pending (47) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	100	4009, 1860, 6892, 11720, 4814
`F_05_09`	Female population age 5-9	integer	0%	97	4036, 1844, 6948, 12718, 4937
`F_10_14`	Female population age 10-14	integer	0%	98	4262, 1619, 6977, 12953, 4968
`F_15_19`	Female population age 15-19	integer	0%	100	4328, 1714, 6151, 12500, 4312
`F_20_24`	Female population age 20-24	integer	0%	99	3932, 1749, 5717, 12302, 4220
`F_25_29`	Female population age 25-29	integer	0%	99	3471, 1523, 5182, 12333, 3795
`F_30_34`	Female population age 30-34	integer	0%	98	2683, 1178, 4048, 9909, 3146
`F_35_39`	Female population age 35-39	integer	0%	100	2369, 949, 2974, 7864, 2570
`F_40_44`	Female population age 40-44	integer	0%	95	1979, 796, 2426, 7039, 2402
`F_45_49`	Female population age 45-49	integer	0%	95	1597, 679, 2045, 6054, 1901
`F_50_54`	Female population age 50-54	integer	0%	100	1233, 577, 1524, 4849, 1291
`F_55_59`	Female population age 55-59	integer	0%	97	829, 401, 1035, 3353, 847
`F_60_64`	Female population age 60-64	integer	0%	98	629, 246, 792, 2550, 662
`F_65_69`	Female population age 65-69	integer	0%	92	448, 187, 592, 2001, 585
`F_70Plus`	F_70Plus	integer	0%	98	848, 396, 995, 3933, 1095
`M_00_04`	Male population age 0-4	integer	0%	97	4024, 1823, 7196, 12799, 5139
`M_05_09`	Male population age 5-9	integer	0%	99	4258, 1856, 7219, 13233, 5098
`M_10_14`	Male population age 10-14	integer	0%	99	4468, 1840, 7171, 13640, 5020
`M_15_19`	Male population age 15-19	integer	0%	100	4258, 1724, 6511, 12956, 4531
`M_20_24`	Male population age 20-24	integer	0%	99	4048, 1684, 6077, 12729, 4235
`M_25_29`	Male population age 25-29	integer	0%	99	3634, 1553, 5471, 11987, 3866
`M_30_34`	Male population age 30-34	integer	0%	100	2759, 1184, 4099, 9347, 2979
`M_35_39`	Male population age 35-39	integer	0%	100	2241, 931, 3181, 7535, 2425
`M_40_44`	Male population age 40-44	integer	0%	99	1900, 785, 2573, 6417, 2082
`M_45_49`	Male population age 45-49	integer	0%	98	1567, 662, 2065, 5345, 1721
`M_50_54`	Male population age 50-54	integer	0%	98	1216, 517, 1571, 4143, 1300
`M_55_59`	Male population age 55-59	integer	0%	100	828, 344, 1073, 2810, 875
`M_60_64`	Male population age 60-64	integer	0%	94	609, 259, 831, 2116, 685
+17 more pending fields — download the CSV/Parquet to see them all.

GTM Global Data Lab GTM-GDL Development Indices

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

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1 Admin 1 — 1 table(s)

GTM GDL - Subnational Indices — 306 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GTM, GTM, GTM, GTM, GTM
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	9	Total, Central, Metropolitan, North, North-Occidental
`human_development_index`	Human development index	float	SEL	0%	88	0.543, 0.544, 0.676, 0.411, 0.419
`health_index`	Health index	float	SEL	0%	75	0.643, 0.618, 0.693, 0.598, 0.618
`education_index`	Education index	float	SEL	0%	85	0.383, 0.395, 0.588, 0.212, 0.213
`income_index`	Income index	float	SEL	0%	71	0.649, 0.66, 0.758, 0.548, 0.558
`life_expectancy`	Life expectancy	float	SEL	0%	97	61.77, 60.2, 65.07, 58.87, 60.16
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	5.75, 5.686, 9.805, 2.186, 2.376

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	12	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

GTM UNHCR Refugee Data Finder GTM-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 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)

GTM UNHCR - Hosted Populations — 75 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

GTM UNHCR - Origin Populations — 75 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

GTM World Bank Open Data GTM-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

GTM 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	GT, GT, GT, GT, GT
`population_count`	Population count	float	SEL	2%	65	4063655.0, 4186201.0, 4312044.0, 4440264.0, 4571109.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	45.76, 46.12, 46.492, 46.622, 47.055
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	256.813115286608, 257.20215058952, 265.21065183936,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	85%	10	64.2099990844727, 69.0999984741211, 78.2600021362305,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	221.5, 216.3, 211.1, 206.1, 201.1
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	94%	3	56.0, 51.0, 59.3, 56.0

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

GTM 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	GT, GT, GT, GT, GT
`life_expectancy`	Life expectancy	float	SEL	3%	64	45.76, 46.12, 46.492, 46.622, 47.055
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	9%	60	58.0, 57.1, 56.1, 55.0, 53.9
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	221.5, 216.3, 211.1, 206.1, 201.1
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	36	301.0, 286.0, 277.0, 273.0, 271.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.999, 6.979, 6.934, 6.899, 6.871
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	48.544, 48.015, 47.388, 46.909, 46.516
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	18.835, 18.453, 18.068, 17.842, 17.457
`physicians_per_1000`	Physicians per 1000	float	SEL	79%	14	0.184, 0.271, 0.274, 0.47, 0.26
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	71%	14	2.6310875415802, 2.17109990119934, 2.00270009040833,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	34	43.0, 42.0, 45.0, 44.0, 48.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	5.39686108, 6.07023716, 6.01301289, 6.15306854, 6.26182795

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

GTM USAID DHS Program GTM-DHS Health Surveys

84 rows · 2 table(s) USAID DHS Program 0 1 2 3 6 SEL 3 CCL 10 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 — 2 table(s)

GTM DHS - Ethnicity Indicators — 31 rows, 8 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	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	28	97.1, 94.8, 66.9, 76.6, 90.5
`men_who_are_literate`	Men who are literate	float	CCL	0%	27	99.3, 96.8, 85.1, 87.8, 94.1

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	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala
`survey_year`	survey_year	integer	0%	1	2015, 2015, 2015, 2015, 2015
`region`	region	string	0%	31	..Guatemala municipio, ..Guatemala resto, Alta Verapaz,...
`survey_id`	survey_id	string	0%	1	GU2015DHS, GU2015DHS, GU2015DHS, GU2015DHS, GU2015DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

GTM DHS - Health Indicators — 53 rows, 11 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	49	40.5, 39.3, 26.5, 29.9, 13.6
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	38	27.0, 24.0, 29.0, 22.0, 117.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	36	30.0, 28.0, 40.0, 30.0, 159.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	49	79.7, 62.3, 48.5, 69.8, 23.7
`children_underweight`	Children underweight	float	CCL	13%	42	4.1, 8.9, 10.2, 13.2, 22.6

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	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala
`survey_year`	survey_year	integer	0%	4	2015, 2015, 2015, 2015, 1987
`region`	region	string	0%	31	..Guatemala municipio, ..Guatemala resto, Alta Verapaz,...
`survey_id`	survey_id	string	0%	4	GU2015DHS, GU2015DHS, GU2015DHS, GU2015DHS, GU1987DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

GTM Glottolog Language Catalog GTM-GLOTTOLOG Language

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

GTM Glottolog - Languages — 64 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	64	achi1256, achi1258, agua1252, alag1249, cakc1235
`name`	Name	string	CCL	0%	64	Achi, Achi', Cubulco, Aguacateco, Alaguilac,...
`iso639_3`	Iso639 3	string	CCL	14%	55	acr, acc, agu, ckz, cob
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	7	maya1287, book1242, maya1287, book1242, maya1287
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	26	quic1275, book1242, ixil1250, book1242, kaqc1280
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	10	['GT'], ['GT'], ['GT'], ['GT'], ['GT']
`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%	5	0, 0, 0, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	25%	40	15.073, 15.3307, 14.6467, 15.6078, 15.5
`longitude`	longitude	float	25%	40	-90.3513, -91.3153, -90.6989, -91.2869, -89.0
`classification`	classification	string	0%	1	[], [], [], [], []

GTM LandScan Global (ORNL) GTM-LANDSCAN Modeled Population

54 rows · 3 table(s) 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)

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

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GTM
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Guatemala
`admin_code`	Admin code	string	SEL	0%	1	84631641B55802704911174
`area_sqkm`	Area sqkm	float	SEL	0%	1	107942.3336
`pop_2024`	Population count	integer	SEL	0%	1	18194191
`pop_density_2024`	Population density	float	SEL	0%	1	168.55

1 Admin 1 — 1 table(s)

GTM LandScan - Population Admin1 (admin_1) — 22 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	GTM, GTM, GTM, GTM, GTM
`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%	22	Guatemala, Alta Verapaz, Huehuetenango, San Marcos, Quiché
`admin_code`	Admin code	string	SEL	0%	22	53557124B7049276162389, 53557124B24572600119042,...
`area_sqkm`	Area sqkm	float	SEL	0%	22	2207.3313, 10726.6626, 7409.333, 3536.7484, 7419.2417
`pop_2024`	Population count	integer	SEL	0%	22	3669965, 1489426, 1441650, 1255470, 1161688
`pop_density_2024`	Population density	float	SEL	0%	22	1662.63, 138.85, 194.57, 354.98, 156.58

Locality Locality — 1 table(s)

GTM LandScan - Cities (locality) — 31 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	GTM, GTM, GTM, GTM, GTM
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	31	Guatemala City, Quetzaltenango, Escuintla,...
`admin_code`	Admin code	integer	SEL	0%	31	2089, 651, 1838, 1925, 2169
`area_sqkm`	Area sqkm	float	SEL	0%	31	467.2544, 85.5002, 20.8777, 23.8597, 15.9066
`pop_2024`	Population count	integer	SEL	0%	31	2962499, 282194, 129184, 128870, 96206
`pop_density_2024`	Population density	float	SEL	0%	31	6340.23, 3300.51, 6187.65, 5401.16, 6048.18

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%	31	2900619, 295633, 85050, 181906, 85400
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	26	1.021, 0.955, 1.519, 0.708, 1.127

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

31 rows · 1 table(s) 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)

GTM GHS-UCDB - Cities (locality) — 31 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%	31	Guatemala City, Quetzaltenango, Cobán, Chimaltenango, Flores
`country_code`	Country code	string	SEL	0%	1	GTM, GTM, GTM, GTM, GTM
`population`	Population count	integer	SEL	0%	31	2900619, 295633, 221271, 181906, 145259

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	31	2089, 651, 2327, 1925, 2673
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

22 rows · 1 table(s) 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)

GTM Mobility by Region — 22 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	GT, GT, GT, GT, GT
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	GTM, GTM, GTM, GTM, GTM

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	22	0.7, -1.33, 2.17, -9.65, -2.56
`grocery`	grocery	float	0%	21	30.32, 0.0, -1.6, -4.26, 0.0
`parks`	parks	float	0%	22	-16.87, -26.86, -9.72, -26.65, -15.81
`transit`	transit	float	0%	17	-3.62, 0.0, -3.77, -7.35, 0.0
`workplaces`	workplaces	float	0%	22	0.49, -7.55, -1.26, -7.84, -6.47
`residential`	residential	float	0%	21	4.12, 0.0, 2.05, 1.76, 0.0
`region`	region	string	0%	22	Alta Verapaz Department, Baja Verapaz Department,...
`observation_count`	observation_count	integer	0%	20	3294, 1898, 7045, 3690, 3786

GTM OpenFactBook GTM-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 99 SEL 1 CCL 615 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 — 16 table(s)

GTM OpenFactBook - Communications — 1 rows, 22 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	11.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	115.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.gt
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	56.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	5.0
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	1.94 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	1.94
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	11 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	20.6 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	20.6
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	115 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	4 privately owned national terrestrial TV channels...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	56% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	921,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	921000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	5 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM OpenFactBook - Economy — 1 rows, 158 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	12600.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	113.2
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	56.0
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`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	developing Central American economy; steady economic...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$232.673 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	232.673
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$224.475 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	224.475
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$216.815 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	216.815
`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	3.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	3.5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	3.5
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.2
`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	$12,600 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$12,400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	12400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$12,100 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	12100.0
`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	$113.2 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.9% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	6.2% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	6.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	6.9% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	6.9
`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	9.8% (2024 est.)
+122 more extension fields — download the CSV/Parquet to see them all.

GTM OpenFactBook - Energy — 1 rows, 51 columns

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Field details — 51 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	99.1
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (47) — 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	99.1% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	97.7%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	97.7
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	98.2%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	98.2
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	4.995 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	4.995
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	12.222 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	12.222
`electricity_exports_text`	electricity_exports_text	string	0%	1	1.104 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	1.104
`electricity_imports_text`	electricity_imports_text	string	0%	1	1.573 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	1.573
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	1.716 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	1.716
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	25.4% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	25.4
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	1.8% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	1.8
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	2.6% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	2.6
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	42% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	42.0
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	2.5% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	2.5
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	25.7% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	25.7
`coal_consumption_text`	coal_consumption_text	string	0%	1	1.012 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	1.012
`coal_exports_text`	coal_exports_text	string	0%	1	20 metric tons (2023 est.)
+17 more extension fields — download the CSV/Parquet to see them all.

GTM OpenFactBook - Environment — 1 rows, 48 columns

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Field details — 48 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	43.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	33.2
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	53.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.59
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	2.757
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (40) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	deforestation in the Peten rainforest; soil erosion;...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic Treaty, Biodiversity, Climate Change, Climate...
`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	tropical; hot, humid in lowlands; cooler in highlands
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 11% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	11.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 17.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	17.5
`land_use_forest_text`	land_use_forest_text	string	0%	1	33.2% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	23.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	23.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	53.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.59% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	18.546 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	18.546
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	2.31 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	2.31
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	16.232 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	16.232
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	4,000 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	4000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	21.8 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	21.8
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	2.757 million tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	10.4% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	10.4
+10 more extension fields — download the CSV/Parquet to see them all.

GTM OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`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	Guatemalan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Guatemalan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestizo (mixed Indigenous-Spanish - in local Spanish...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	56.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM OpenFactBook - Geography — 1 rows, 58 columns

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Field details — 58 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	108889.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	107159.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	1730.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1667.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	400.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	4220.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	43.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	33.2
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	3375.0
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (45) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Central America, bordering the North Pacific Ocean,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	15 30 N, 90 15 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	15.0
`map_references_text`	map_references_text	string	0%	1	Central America and the Caribbean
`area_total_text`	area_total_text	string	0%	1	108,889 sq km
`area_land_text`	area_land_text	string	0%	1	107,159 sq km
`area_water_text`	area_water_text	string	0%	1	1,730 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Pennsylvania
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,667 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Belize 266 km; El Salvador 199 km; Honduras 244 km; Mexico 958 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	266.0
`coastline_text`	coastline_text	string	0%	1	400 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_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-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical; hot, humid in lowlands; cooler in highlands
`terrain_text`	terrain_text	string	0%	1	two east-west trending mountain chains divide the...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Volcan Tajumulco (highest point in Central America) 4,220 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Pacific Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	759 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	759.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, nickel, rare woods, fish, chicle, hydropower
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 11% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	11.0
+15 more extension fields — download the CSV/Parquet to see them all.

GTM OpenFactBook - Government — 1 rows, 111 columns

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

Standards-Aligned Fields (2)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of Guatemala
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Guatemala
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República de Guatemala
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Guatemala
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the Spanish conquistadors' first capital (established in...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1524.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Guatemala City
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	14 37 N, 90 31 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	14.0
`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_etymology_text`	capital_etymology_text	string	0%	1	the Spanish conquistadors' first capital (established in...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1524.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	22 departments (departamentos, singular - departamento);...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	22.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system; judicial review of legislative acts
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 31 May 1985, effective...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	31.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president of the republic, by agreement...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	10.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`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	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years with no absences of six consecutive months or...
`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
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Bernardo ARÉVALO de León (since 15 January 2024)
+79 more extension fields — download the CSV/Parquet to see them all.

GTM OpenFactBook - Introduction — 1 rows, 7 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	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`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	The Maya civilization flourished in Guatemala and...
`background_numeric`	background_numeric	float	0%	1	1821.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM OpenFactBook - Languages — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`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
`languages_languages_text`	Languages (text)	string	0%	1	Spanish (official) 69.9%, Maya languages 29.7% (Q'eqchi'...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	69.9
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`languages_note`	languages_note	string	0%	1	note: the 2003 Law of National Languages officially...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM OpenFactBook - Migration — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	4,676 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	4676.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	572,813 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	572813.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM OpenFactBook - Military And Security — 1 rows, 27 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Army of Guatemala (Ejercito de Guatemala; aka Armed...
`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	0.4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.4% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 20,000 active Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	20000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military is lightly armed with an inventory mostly...
`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	18-28 for voluntary service for men and women (17-21 for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_deployments_text`	military_deployments_text	string	0%	1	180 Democratic Republic of the Congo (MONUSCO) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	180.0
`military_note_text`	military_note_text	string	0%	1	the military is responsible for maintaining the...
`military_note_numeric`	military_note_numeric	float	0%	1	2000.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM OpenFactBook - People And Society — 1 rows, 152 columns

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Field details — 152 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	18255216.0
`population_male_numeric`	Population male	float	SEL	0%	1	9050684.0
`population_female_numeric`	Population female	float	SEL	0%	1	9204532.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	31.5
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	63.2
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	5.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	58.3
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	49.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	8.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	26.7
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.99
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	17.12
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	4.99
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.22
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	53.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.59
`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	0.98
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	94.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	23.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	73.5
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.97
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.96
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.28
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.4
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	82.1
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	18,255,216 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	9,050,684
`population_female_text`	population_female_text	string	0%	1	9,204,532
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	31.5% (male 2,925,079/female 2,819,927)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	63.2% (male 5,688,500/female 5,839,958)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	5.4% (2024 est.) (male 437,105/female 544,647)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	58.3 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	49.8 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	8.5 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	11.7 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	11.7
`median_age_total_text`	median_age_total_text	string	0%	1	26.7 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	24.2 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	24.2
`median_age_female_text`	median_age_female_text	string	0%	1	25.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	25.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.99% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	17.12 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	4.99 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.22 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the vast majority of the populace resides in the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	53.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.59% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.095 million GUATEMALA CITY (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.095
`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	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.97 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.97
+93 more extension fields — download the CSV/Parquet to see them all.

GTM OpenFactBook - Religions — 1 rows, 19 columns

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Field details — 19 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	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	Mestizo (mixed Indigenous-Spanish - in local Spanish called Ladino)	string	CCL	0%	-	Mestizo (mixed Indigenous-Spanish - in local 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	Evangelical 45.7%, Roman Catholic 42.4%, none 11%,...
`religions_numeric`	religions_numeric	float	0%	1	45.7
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_evangelical_pct_synth`	Evangelical	numeric	0%	-	45.7
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	42.4
`composition_religion_none_pct_synth`	none	numeric	0%	-	11.0
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	0.9
`composition_ethnicity_mestizo_mixed_indigenous_spanish_in_local_spanish_called_ladino_pct_synth`	Mestizo (mixed Indigenous-Spanish - in local Spanish called Ladino)	numeric	0%	-	56.0
`composition_ethnicity_maya_pct_synth`	Maya	numeric	0%	-	41.7
`composition_ethnicity_xinca_indigenous_non_maya_pct_synth`	Xinca (Indigenous, non-Maya)	numeric	0%	-	1.8
`composition_ethnicity_african_descent_pct_synth`	African descent	numeric	0%	-	0.2
`composition_ethnicity_garifuna_mixed_west_and_central_african_island_carib_and_arawak_pct_synth`	Garifuna (mixed West and Central African, Island Carib, and Arawak)	numeric	0%	-	0.1
`composition_ethnicity_foreign_pct_synth`	foreign	numeric	0%	-	0.2
`composition_ethnicity_primary_share_pct_synth`	Mestizo (mixed Indigenous-Spanish - in local Spanish called Ladino)	numeric	0%	-	56.0

GTM OpenFactBook - Terrorism — 1 rows, 7 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	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`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	La Mara Salvatrucha (MS-13)
`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	central-america-n-caribbean/gt.json

GTM OpenFactBook - Transnational Issues — 1 rows, 7 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	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`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	central-america-n-caribbean/gt.json

GTM OpenFactBook - Transportation — 1 rows, 32 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	TG
`airports_numeric`	Airports count	float	SEL	0%	1	58.0
`country_code`	Country code	string	SEL	0%	1	GTM
`country_name`	Country name	string	SEL	0%	1	Guatemala
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	58 (2025)
`heliports_text`	heliports_text	string	0%	1	2 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	2.0
`railways_total_text`	railways_total_text	string	0%	1	800 km (2018)
`railways_total_numeric`	railways_total_numeric	float	0%	1	800.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	800 km (2018) 0.914-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	800.0
`railways_note`	railways_note	string	0%	1	note: despite the existence of a railway network, all...
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	9 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	9.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	oil tanker 1, other 8
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	3 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	3.0
`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	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	2
`ports_small_numeric`	ports_small_numeric	float	0%	1	2.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	1
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	2
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	2.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Puerto Barrios, Puerto Quetzal, Santo Tomas de Castilla
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/gt.json

GTM D-PLACE GTM-DPLACE Ethnographic Societies

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

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0 Admin 0 — 1 table(s)

GTM D-PLACE - Dplace Ea Societies — 6 rows, 18 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GTM, GTM, GTM, GTM, GTM
`society_id`	Society id	string	CCL	0%	6	Sa10, Sa11, Sa13, Sa15, Sa17
`society_name`	Society name	string	CCL	0%	6	Lacandon, Kaqchikel, K'iche', Jakaltek, Poqomam
`language_glottocode`	Language glottocode	string	CCL	0%	6	laca1243, kaqc1270, kich1262, popt1235, poqo1253
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	4	EA001:0; EA002:2; EA003:2; EA004:0; EA005:6, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	5	EA006:3; EA007:8; EA008:7; EA009:6; EA010:8, EA006:3;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	4	EA028:3; EA029:6; EA030:5; EA031:NA; EA032:3, EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA033:NA; EA034:2; EA035:NA, EA033:NA; EA034:NA;...
`religion_importance`	Religion importance	string	CCL	0%	5	EA034:2; EA112:NA, EA034:NA; EA112:NA, EA034:4; EA112:3,...
`residence_pattern`	Residence pattern	string	CCL	0%	2	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Guatemala, Guatemala, Guatemala, Guatemala, Guatemala
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	3	16.9, 14.0, 15.0, 14.0, 15.0
`longitude`	longitude	float	0%	3	-91.0, -91.0, -91.0, -90.0, -91.0
`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

GTM Ethnic Power Relations Dataset GTM-EPR Political Ethnicity

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

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0 Admin 0 — 1 table(s)

GTM EPR - Groups — 4 rows, 8 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GTM, GTM, GTM, GTM
`ethnic_group_name`	Ethnic group name	string	CCL	0%	4	Maya, Ladinos, Xinca, Garífuna
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	POWERLESS, DOMINANT, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	4	0.515, 0.48, 0.003, 0.002
`ethnic_group_id`	Ethnic group id	float	CCL	0%	4	9002000, 9001000, 9004000, 9003000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	false, , false, false

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

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

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

4 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

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0 Admin 0 — 2 table(s)

GTM Nga Gns - Language — 3 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	GTM, GTM, GTM
`gns_language_code`	gns_language_code	string	CCL	0%	3	spa, eng, fra
`gns_language_name`	gns_language_name	string	CCL	0%	3	Spanish, English, French
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	36319, 19, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.945, 0.0523, 0.0028
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0

GTM Nga Gns - Summary — 1 rows, 31 columns

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Field details — 31 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	GTM
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Guatemala
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9929
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	42381
`gns_feature_count`	gns_feature_count	integer	0%	1	36688
`gns_endonym_count`	gns_endonym_count	integer	0%	1	42378
`gns_exonym_count`	gns_exonym_count	integer	0%	1	3
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	20046
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	17175
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	7158
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	6171
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	1940
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1739
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	2159
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1928
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	10241
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	9287
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	831
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	382
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	4
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	4
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	1
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	1
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	1
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	1

GTM Global Organized Crime Index GTM-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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)

GTM Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

GTM World Values Survey GTM-WVS Attitudes Values

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

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

0 Admin 0 — 1 table(s)

GTM WVS - Country Aggregates — 1 rows, 26 columns

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

Standards-Aligned Fields (1)

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

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

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

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
Instituto Nacional de Estadistica (INE Guatemala)	official_api	bulk_download
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Values Survey	academic	metadata_catalog
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Global Data Lab	academic	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download