Guatemala
GTM
Tikal Temple II · Photo: Mike Vondran derivative work: MrPanyGoff /
CC BY 2.0
via Wikimedia Commons
22,034
Records
13
Datasets
42
Tables
13
Sources
191
SEL Fields
55
CCL Fields
📋
Most recent national census: 2018.
Included in HERA.
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Datasets (13)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
4 further sources (Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
GTM Instituto Nacional de Estadistica (INE Guatemala)
GTM-INE_GUATEMALA
Census
20,399 rows · 4 tables · 2018
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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 NGA GEOnet Names Server (GNS)
GTM-NGA_GNS
Language
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)
GTM NGA GNS - Language
— 3 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | 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 | 36313, 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
Loading data…
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 | 42380 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 36687 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 42377 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Mon, 14 Sep 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-09-14 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 20043 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 17174 |
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 | 1942 |
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 | 2160 |
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 | 10240 |
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 NGA GNS - Admin Crosswalk
— 381 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GTM, GTM, GTM, GTM, GTM |
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 | -1131551, -1131725, -1132765, -1132874, -1134930 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 96 | Alta Verapaz, Baja Verapaz, Chimaltenango, Chiquimula,... |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 22 | GT-16, GT-15, GT-04, GT-20, GT-02 |
parent_code |
parent_code | string | 0% | 21 | GTM, GTM, GTM, GTM, GTM |
gns_prominence_band |
gns_prominence_band | integer | 0% | 2 | 5, 5, 5, 5, 5 |
latitude |
latitude | float | 0% | 90 | 15.666667, 15.083333, 14.666667, 14.666667, 14.833333 |
longitude |
longitude | float | 0% | 96 | -90.0, -90.333333, -90.916667, -89.416667, -90.0 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 16PAC7837234340, 15PYS8666569280, 15PYS2436022492,... |
name_variant_count |
name_variant_count | integer | 0% | 3 | 2, 2, 2, 2, 4 |
GTM HDX COD — Population Statistics (OCHA/UNFPA)
GTM-COD_PS
Census Derived Population
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
Loading data…
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
Loading data…
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
Loading data…
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 World Bank Open Data
GTM-WORLD_BANK
Development Indicators
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)
GTM World Bank - Development Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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
Loading data…
Field details — 14 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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 World Bank - Migration Indicators
— 66 rows, 9 columns
Loading data…
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 | GTM, GTM, GTM, GTM, GTM |
country_name |
country_name | string | 0% | 1 | Guatemala, Guatemala, Guatemala, Guatemala, Guatemala |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 264257.0, 156188.0, 48119.0, 57214.0, 66386.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 4 | 2.9, 1.5, 0.4, 0.4, 0.5 |
net_migration |
net_migration | float | 0% | 66 | -186.0, 797.0, 713.0, 240.0, -440.0 |
remittances_received_usd |
remittances_received_usd | float | 27% | 48 | 14000000.0, 21600000.38, 23600000.38, 26200000.76, 24500000.0 |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 27% | 48 | 0.255451135646341, 0.355813258464954, 0.341900149164079,... |
remittances_paid_usd |
remittances_paid_usd | float | 27% | 45 | 8000000.0, 7199999.809, 8100000.381, 11399999.62, 7099999.905 |
GTM UNHCR Refugee Data Finder
GTM-UNHCR
Migration
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
— 47 rows, 24 columns
Loading data…
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
— 46 rows, 24 columns
Loading data…
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 USAID DHS Program
GTM-DHS
Health Surveys
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
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 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
Loading data…
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
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
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| 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% | - | - |
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 (4)
— 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 |
country_codes |
Country codes | string | 0% | 10 | ['GT'], ['GT'], ['GT'], ['GT'], ['GT'] |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
GTM LandScan Global (ORNL)
GTM-LANDSCAN
Modeled Population
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
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, 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
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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
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
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 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
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
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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
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, 21 columns
Loading data…
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 | 11.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 115.0 |
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 (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 | 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_country_code_text |
Internet country code text | string | 0% | 1 | .gt |
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, 153 columns
Loading data…
Field details — 158 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 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
Loading data…
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, 43 columns
Loading data…
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, 8 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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, 54 columns
Loading data…
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, 78 columns
Loading data…
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, 6 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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, 8 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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, 23 columns
Loading data…
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, 140 columns
Loading data…
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, 6 columns
Loading data…
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
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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, 6 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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, 30 columns
Loading data…
Field details — 32 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 | 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 (28)
— 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 | TG |
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
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 D-PLACE - Dplace Ea Societies
— 6 rows, 23 columns
Loading data…
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 | 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 | EA017:3; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:3; EA007:8; EA008:7; EA009:6; EA023:NA; EA025:NA,... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 5 | EA001:0; EA002:2; EA003:2; EA004:0; EA005:6; EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA032:3; EA033:NA, EA032:NA; EA033:NA, EA032:3; EA033:2,... |
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 | EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;... |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 4 | EA030:5; EA031:NA, EA030:NA; EA031:NA, EA030:7;... |
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 | 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 |
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 | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
GTM D-PLACE - Dplace Ea Societies Decoded
— 6 rows, 49 columns
Loading data…
Field details — 49 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | 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 | , , , , |
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 | 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 |
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 | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 50% | 2 | 3, 3, 4 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 83% | 1 | 2 |
religion_high_gods |
religion_high_gods | integer | 50% | 2 | 2, 4, 4 |
trance_states |
trance_states | integer | 50% | 3 | 3, 7, 8 |
settlement_patterns |
settlement_patterns | integer | 50% | 2 | 5, 7, 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 83% | 1 | 6 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 8, 8, 8, 8, 8 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 1, 1, 1, 1, 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 8, 8, 8, 8, 8 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 2 | 9, 9, 9, 9, 2 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 2 | 11, 11, 11, 11, 6 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 2 | 3, 4, 3, 3, 3 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 2 | 3, 4, 3, 3, 3 |
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 | 17% | 1 | 9, 9, 9, 9, 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 17% | 1 | 9, 9, 9, 9, 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 17% | 2 | 4, 4, 3, 4, 4 |
descent_major_type |
descent_major_type | integer | 17% | 1 | 1, 1, 1, 1, 1 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
GTM INFORM Risk Index (EC-JRC)
GTM-INFORM
Risk Index
1 rows × 273 columns ingested. Field-level inventory in progress —
contact us for the full export.
0
Admin 0
— 1 table(s)
GTM 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 | GTM |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 162288.028571429 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.171428571428571 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.870805944858351 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 107160.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.0 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.560829088453233 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 7.5 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 19.1179714202881 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 4.8 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 4.0 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 4.4 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 7.0 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 2.8 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 3.1 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 3.6 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 1.7 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 1.0 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 6.8 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 3.3 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 4.5 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.9 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 3.6 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 4.0 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 4.2 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 1.4 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 8.1 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 3.2 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 5.5 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 3.7 |
| +243 more pending fields — download the CSV/Parquet to see them all. | |||||