| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | SV |
region_name |
Region name | string | SEL | 0% | 1 | El Salvador |
F_TL |
Female population | integer | SEL | 0% | 1 | 3386025 |
M_TL |
Male population | integer | SEL | 0% | 1 | 2964944 |
T_TL |
Total population | integer | SEL | 0% | 1 | 6350969 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
year |
year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 240021 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 256360 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 259615 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 264160 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 286544 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 310844 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 291556 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 244216 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 212411 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 195960 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 181435 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 158026 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 132077 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 107250 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 86758 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 66417 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 92375 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 251222 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 269207 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 273371 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 274480 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 284010 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 290596 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 251328 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 185780 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 149648 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 137881 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 14 | SV01, SV02, SV03, SV04, SV05 |
region_name |
Region name | string | SEL | 0% | 14 | Ahuachapán, Cabañas, Chalatenango, Cuscatlán, La Libertad |
F_TL |
Female population | integer | SEL | 0% | 14 | 191374, 81531, 95028, 141074, 428467 |
M_TL |
Male population | integer | SEL | 0% | 14 | 179204, 72532, 82524, 128458, 378768 |
T_TL |
Total population | integer | SEL | 0% | 14 | 370578, 154063, 177552, 269532, 807235 |
| 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 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 14 | 16304, 7705, 8185, 10772, 26840 |
F_05_09 |
Female population age 5-9 | integer | 0% | 14 | 17245, 8104, 8493, 11576, 28750 |
F_10_14 |
Female population age 10-14 | integer | 0% | 14 | 16290, 8263, 8394, 11925, 28684 |
F_15_19 |
Female population age 15-19 | integer | 0% | 14 | 15994, 7504, 7716, 11878, 30447 |
F_20_24 |
Female population age 20-24 | integer | 0% | 14 | 17571, 7274, 8023, 12639, 36271 |
F_25_29 |
Female population age 25-29 | integer | 0% | 14 | 18749, 8262, 9616, 13872, 39173 |
F_30_34 |
Female population age 30-34 | integer | 0% | 14 | 16362, 7765, 9589, 12965, 37099 |
F_35_39 |
Female population age 35-39 | integer | 0% | 14 | 13031, 5505, 7010, 10039, 32887 |
F_40_44 |
Female population age 40-44 | integer | 0% | 14 | 11225, 3545, 4213, 8334, 30347 |
F_45_49 |
Female population age 45-49 | integer | 0% | 14 | 10032, 2848, 3700, 7889, 28114 |
F_50_54 |
Female population age 50-54 | integer | 0% | 14 | 8893, 2842, 3950, 7028, 25098 |
F_55_59 |
Female population age 55-59 | integer | 0% | 14 | 7636, 2725, 3561, 5786, 21371 |
F_60_64 |
Female population age 60-64 | integer | 0% | 14 | 6271, 2254, 3232, 4630, 17792 |
F_65_69 |
Female population age 65-69 | integer | 0% | 14 | 5053, 1999, 2717, 3645, 14208 |
F_70_74 |
Female population age 70-74 | integer | 0% | 14 | 3990, 1658, 2300, 2782, 11246 |
F_75_79 |
Female population age 75-79 | integer | 0% | 14 | 2952, 1374, 1829, 2238, 8221 |
F_80Plus |
F_80Plus | integer | 0% | 14 | 3776, 1904, 2500, 3076, 11919 |
M_00_04 |
Male population age 0-4 | integer | 0% | 14 | 17071, 8092, 8545, 11290, 28122 |
M_05_09 |
Male population age 5-9 | integer | 0% | 14 | 18085, 8542, 8926, 12134, 30192 |
M_10_14 |
Male population age 10-14 | integer | 0% | 14 | 17121, 8773, 8906, 12540, 30137 |
M_15_19 |
Male population age 15-19 | integer | 0% | 14 | 16852, 8004, 8057, 12417, 31466 |
M_20_24 |
Male population age 20-24 | integer | 0% | 14 | 18208, 7445, 7800, 12764, 35976 |
M_25_29 |
Male population age 25-29 | integer | 0% | 14 | 18801, 7874, 8865, 13416, 36696 |
M_30_34 |
Male population age 30-34 | integer | 0% | 14 | 15503, 6663, 8008, 11713, 32075 |
M_35_39 |
Male population age 35-39 | integer | 0% | 14 | 11133, 3740, 4656, 8213, 25721 |
M_40_44 |
Male population age 40-44 | integer | 0% | 13 | 8644, 1798, 2181, 6395, 22742 |
M_45_49 |
Male population age 45-49 | integer | 0% | 14 | 7506, 1471, 2111, 5841, 21112 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 48 | SV01001, SV01002, SV01003, SV02001, SV02002 |
region_name |
Region name | string | SEL | 0% | 48 | Ahuachapán Centro, Ahuachapán Norte, Ahuachapán Sur,... |
F_TL |
Female population | integer | SEL | 0% | 45 | 93686, 40777, 59810, 37835, 45252 |
M_TL |
Male population | integer | SEL | 0% | 45 | 88457, 37990, 55550, 34119, 39839 |
T_TL |
Total population | integer | SEL | 0% | 45 | 182143, 78767, 115360, 71954, 85091 |
| 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 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 45 | 7979, 2978, 5600, 3402, 4425 |
F_05_09 |
Female population age 5-9 | integer | 0% | 45 | 8134, 3216, 6159, 3634, 4596 |
F_10_14 |
Female population age 10-14 | integer | 0% | 44 | 7660, 3026, 5862, 3729, 4686 |
F_15_19 |
Female population age 15-19 | integer | 0% | 45 | 7616, 3041, 5574, 3438, 4196 |
F_20_24 |
Female population age 20-24 | integer | 0% | 45 | 8756, 3579, 5521, 3441, 3979 |
F_25_29 |
Female population age 25-29 | integer | 0% | 45 | 9402, 4313, 5358, 3945, 4493 |
F_30_34 |
Female population age 30-34 | integer | 0% | 45 | 8184, 3659, 4767, 3599, 4290 |
F_35_39 |
Female population age 35-39 | integer | 0% | 45 | 6430, 3031, 3792, 2529, 3069 |
F_40_44 |
Female population age 40-44 | integer | 0% | 45 | 5647, 2539, 3191, 1650, 2003 |
F_45_49 |
Female population age 45-49 | integer | 0% | 45 | 4938, 2326, 2911, 1305, 1605 |
F_50_54 |
Female population age 50-54 | integer | 0% | 45 | 4381, 1970, 2661, 1347, 1562 |
F_55_59 |
Female population age 55-59 | integer | 0% | 45 | 3857, 1678, 2185, 1356, 1432 |
F_60_64 |
Female population age 60-64 | integer | 0% | 45 | 3036, 1487, 1829, 1061, 1220 |
F_65_69 |
Female population age 65-69 | integer | 0% | 44 | 2425, 1198, 1498, 994, 1046 |
F_70_74 |
Female population age 70-74 | integer | 0% | 45 | 1923, 976, 1147, 809, 883 |
F_75_79 |
Female population age 75-79 | integer | 0% | 45 | 1442, 710, 846, 647, 760 |
F_80Plus |
F_80Plus | integer | 0% | 45 | 1876, 1050, 909, 949, 1007 |
M_00_04 |
Male population age 0-4 | integer | 0% | 45 | 8421, 3145, 5769, 3712, 4500 |
M_05_09 |
Male population age 5-9 | integer | 0% | 45 | 8711, 3412, 6274, 4004, 4682 |
M_10_14 |
Male population age 10-14 | integer | 0% | 45 | 8097, 3260, 6106, 4097, 4827 |
M_15_19 |
Male population age 15-19 | integer | 0% | 45 | 8010, 3373, 5788, 3641, 4509 |
M_20_24 |
Male population age 20-24 | integer | 0% | 45 | 9169, 3878, 5475, 3576, 4041 |
M_25_29 |
Male population age 25-29 | integer | 0% | 45 | 9666, 4197, 5194, 3731, 4292 |
M_30_34 |
Male population age 30-34 | integer | 0% | 45 | 7822, 3574, 4317, 3128, 3691 |
M_35_39 |
Male population age 35-39 | integer | 0% | 45 | 5717, 2506, 3050, 1752, 2082 |
M_40_44 |
Male population age 40-44 | integer | 0% | 45 | 4350, 2026, 2364, 807, 1035 |
M_45_49 |
Male population age 45-49 | integer | 0% | 45 | 3834, 1621, 2134, 676, 843 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 93 | SV01001001, SV01001002, SV01001003, SV01001004, SV01002001 |
region_name |
Region name | string | SEL | 0% | 93 | Ahuachapán, Apaneca, Concepción de Ataco, Tacuba, Atiquizaya |
F_TL |
Female population | integer | SEL | 0% | 99 | 65068, 4993, 6659, 16966, 21032 |
M_TL |
Male population | integer | SEL | 0% | 100 | 62849, 4582, 6025, 15001, 19526 |
T_TL |
Total population | integer | SEL | 0% | 100 | 127917, 9575, 12684, 31967, 40558 |
| 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 |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 97 | 5100, 365, 548, 1966, 1502 |
F_05_09 |
Female population age 5-9 | integer | 0% | 98 | 5208, 478, 594, 1854, 1587 |
F_10_14 |
Female population age 10-14 | integer | 0% | 96 | 5032, 392, 613, 1623, 1488 |
F_15_19 |
Female population age 15-19 | integer | 0% | 95 | 5213, 381, 513, 1509, 1524 |
F_20_24 |
Female population age 20-24 | integer | 0% | 99 | 6144, 429, 634, 1549, 1860 |
F_25_29 |
Female population age 25-29 | integer | 0% | 97 | 6600, 476, 620, 1706, 2198 |
F_30_34 |
Female population age 30-34 | integer | 0% | 99 | 5783, 425, 575, 1401, 1867 |
F_35_39 |
Female population age 35-39 | integer | 0% | 95 | 4588, 387, 392, 1063, 1532 |
F_40_44 |
Female population age 40-44 | integer | 0% | 94 | 4060, 320, 411, 856, 1315 |
F_45_49 |
Female population age 45-49 | integer | 0% | 92 | 3633, 228, 317, 760, 1240 |
F_50_54 |
Female population age 50-54 | integer | 0% | 91 | 3132, 239, 322, 688, 1047 |
F_55_59 |
Female population age 55-59 | integer | 0% | 91 | 2787, 219, 284, 567, 872 |
F_60_64 |
Female population age 60-64 | integer | 0% | 86 | 2153, 178, 239, 466, 810 |
F_65_69 |
Female population age 65-69 | integer | 0% | 90 | 1735, 164, 183, 343, 658 |
F_70_74 |
Female population age 70-74 | integer | 0% | 84 | 1446, 101, 151, 225, 520 |
F_75_79 |
Female population age 75-79 | integer | 0% | 86 | 1053, 92, 112, 185, 393 |
F_80Plus |
F_80Plus | integer | 0% | 87 | 1401, 119, 151, 205, 619 |
M_00_04 |
Male population age 0-4 | integer | 0% | 96 | 5653, 378, 592, 1798, 1568 |
M_05_09 |
Male population age 5-9 | integer | 0% | 98 | 5934, 412, 595, 1770, 1698 |
M_10_14 |
Male population age 10-14 | integer | 0% | 95 | 5594, 423, 532, 1548, 1586 |
M_15_19 |
Male population age 15-19 | integer | 0% | 97 | 5657, 387, 532, 1434, 1709 |
M_20_24 |
Male population age 20-24 | integer | 0% | 95 | 6517, 500, 663, 1489, 1957 |
M_25_29 |
Male population age 25-29 | integer | 0% | 96 | 6855, 560, 697, 1554, 2260 |
M_30_34 |
Male population age 30-34 | integer | 0% | 96 | 5676, 421, 530, 1195, 1847 |
M_35_39 |
Male population age 35-39 | integer | 0% | 96 | 4184, 286, 367, 880, 1320 |
M_40_44 |
Male population age 40-44 | integer | 0% | 93 | 3193, 222, 286, 649, 1045 |
M_45_49 |
Male population age 45-49 | integer | 0% | 90 | 2828, 210, 224, 572, 861 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV, SLV, SLV, SLV, SLV |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 5 | Total, Central I, Central II, Occidental, Oriental |
human_development_index |
Human development index | float | SEL | 0% | 81 | 0.573, 0.618, 0.533, 0.534, 0.542 |
health_index |
Health index | float | SEL | 0% | 66 | 0.646, 0.652, 0.652, 0.634, 0.642 |
education_index |
Education index | float | SEL | 0% | 90 | 0.473, 0.542, 0.413, 0.424, 0.419 |
income_index |
Income index | float | SEL | 0% | 72 | 0.614, 0.667, 0.561, 0.566, 0.593 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 61.98, 62.37, 62.39, 61.22, 61.72 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 7.096, 8.758, 5.626, 5.955, 5.868 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 20 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SV, SV, SV, SV, SV |
population_count |
Population count | float | SEL | 2% | 65 | 2791459.0, 2870016.0, 2949204.0, 3028679.0, 3111883.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 48.292, 48.633, 49.001, 49.38, 49.75 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 9% | 60 | 274.333279365994, 282.44637356687, 288.374280393621,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 70% | 20 | 74.1399993896484, 83.5599975585938, 82.0299987792969,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 184.5, 180.6, 176.9, 173.2, 169.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 94% | 4 | 26.2, 24.6, 26.6, 27.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | El Salvador, El Salvador, El Salvador, El Salvador, El Salvador |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SV, SV, SV, SV, SV |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 48.292, 48.633, 49.001, 49.38, 49.75 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 41% | 39 | 25.8, 25.1, 24.4, 23.7, 23.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 184.5, 180.6, 176.9, 173.2, 169.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 28 | 193.0, 169.0, 178.0, 173.0, 155.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.618, 6.644, 6.675, 6.69, 6.684 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.019, 46.975, 47.122, 47.021, 46.804 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 17.807, 17.493, 17.203, 17.043, 16.813 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 70% | 20 | 0.187, 0.243, 0.242, 0.326, 0.387 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 71% | 15 | 2.18347549438477, 1.90240001678467, 1.98500001430511,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 25 | 44.0, 42.0, 42.0, 21.0, 31.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 7.84342813, 7.88604879, 7.88565731, 7.77182293, 8.1302166 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | El Salvador, El Salvador, El Salvador, El Salvador, El Salvador |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | El Salvador |
admin_code |
Admin code | string | SEL | 0% | 1 | 99076482B50741318479016 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 25337.8376 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 6630605 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 261.69 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV, SLV, SLV, SLV, SLV |
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% | 14 | Departamento de San Salvador, La Libertad, Departamento... |
admin_code |
Admin code | string | SEL | 0% | 14 | 98794003B39565856515381, 98794003B3671241590115,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 900.4481, 1648.2155, 2026.8523, 1256.001, 2142.2361 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 1761279, 844965, 616551, 526381, 504013 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 1956.0, 512.65, 304.19, 419.09, 235.27 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV, SLV, SLV, SLV, SLV |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 12 | San Salvador, Santa Ana, San Miguel, Sonsonate, Lourdes |
admin_code |
Admin code | integer | SEL | 0% | 12 | 916, 510, 1464, 197, 788 |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 262.4304, 36.7804, 31.8089, 32.8053, 25.8446 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 1643648, 188495, 149858, 138067, 134909 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 6263.18, 5124.88, 4711.2, 4208.68, 5220.01 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 12 | 1615741, 205665, 165222, 181726, 134316 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 12 | 1.017, 0.917, 0.907, 0.76, 1.004 |
| 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 | 14.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 177.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sv |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 68.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 11.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 885,000 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 885000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 14 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 11.2 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 11.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 177 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | multiple privately owned national terrestrial TV... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 68% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 671,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 671000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 11 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/es.json |
| 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 | 11700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 35.365 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 26.6 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | upper-middle-income, dollarized Central American... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 1.3 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $73.961 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 | 73.961 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $72.085 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 | 72.085 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $69.621 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 | 69.621 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 2.6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.6 |
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 | 3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.0 |
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 | $11,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $11,400 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 11400.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $11,100 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 11100.0 |
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 | $35.365 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 0.9% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 0.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 4% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 4.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +113 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 2.803 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 2.803 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 6.335 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 6.335 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 140 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 140.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 750.096 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 750.096 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 770.613 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 770.613 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 9.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 9.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 19.1% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 19.1 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 2.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 2.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 31% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 31.0 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 24.5% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 24.5 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 14% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 14.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 500 metric tons (2022 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 500.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 2,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 2000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 3 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 3.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 56,000 bbl/day (2023 est.) |
| +9 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 57.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 33.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 75.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.33 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.649 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; soil erosion; water pollution;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Law of the Sea |
climate_text |
climate_text | string | 0% | 1 | tropical; rainy season (May to October); dry season... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 57.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 7.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 7.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 15.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 15.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 33% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 9.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 9.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 75.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.33% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 8.694 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 8.694 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1,000 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 | 1000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 7.745 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 | 7.745 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 948,000 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 | 948000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 23.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 23.8 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.649 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 | 15.2% (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 | 15.2 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 433.229 million cubic meters (2022) |
| +9 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Salvadoran(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Salvadoran |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Mestizo 86.3%, White 12.7%, Indigenous 0.2% (includes... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 86.3 |
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/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 21041.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 20721.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 320.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 590.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 307.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2730.0 |
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 | 57.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 33.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 240.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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 | 13 50 N, 88 55 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 13.0 |
map_references_text |
map_references_text | string | 0% | 1 | Central America and the Caribbean |
area_total_text |
area_total_text | string | 0% | 1 | 21,041 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 20,721 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 320 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about the same size as New Jersey |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 590 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Guatemala 199 km; Honduras 391 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 199.0 |
coastline_text |
coastline_text | string | 0% | 1 | 307 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; rainy season (May to October); dry season... |
terrain_text |
terrain_text | string | 0% | 1 | mostly mountains with narrow coastal belt and central plateau |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Cerro El Pital 2,730 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 | 442 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 442.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | hydropower, geothermal power, petroleum, arable land |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 57.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 7.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 7.7 |
| +12 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of El Salvador |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | El Salvador |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República de El Salvador |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | El Salvador |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | means "the Savior" in Spanish and is a shortened form of... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 16.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | San Salvador |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 13 42 N, 89 12 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 13.0 |
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 | Spanish colonists founded the city in 1526 on the feast... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1526.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 14 departments (departamentos, singular - departamento);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 14.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system with minor common law influence;... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | many previous; latest drafted 16 December 1983, enacted... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 16.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposals require agreement by absolute majority of the... |
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 |
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 Nayib Armando BUKELE Ortez (since 1 June 2019) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 1.0 |
| +73 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | El Salvador achieved independence from Spain in 1821 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/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Spanish (official), Nawat (among some indigenous) |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | La Libreta Informativa del Mundo, la fuente... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 392 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 392.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 35,391 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 35391.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | The Armed Forces of El Salvador (La Fuerza Armada de El... |
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 | 1.2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.4% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 25,000 active FAES (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 25000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FAES is lightly armed with an inventory of 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 | 18-30 years of age for voluntary military service for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Armed Force of El Salvador (FAES) is responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2016.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 6334723.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 3026645.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 3308078.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 25.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 66.3 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 8.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 43.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 29.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 13.1 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 31.2 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.34 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 12.46 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.93 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -3.16 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 75.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.33 |
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 | 0.92 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 39.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 10.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 75.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.4 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.68 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.62 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.2 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 89.8 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 6,334,723 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 3,026,645 |
population_female_text |
population_female_text | string | 0% | 1 | 3,308,078 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 25.3% (male 855,841/female 818,642) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 66.3% (male 2,077,745/female 2,317,416) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 8.4% (2024 est.) (male 238,658/female 320,400) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 43 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 29.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 13.1 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 7.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 7.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 31.2 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 28.2 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 28.2 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 31.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 31.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.34% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 12.46 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.93 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -3.16 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | high population density country-wide, with particular... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 75.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.33% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.116 million SAN SALVADOR (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.116 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.05 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.9 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.9 |
| +91 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_ethnicity_primary_label_synth |
Mestizo | string | CCL | 0% | - | Mestizo |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 43.9%, Protestant 39.6% (Evangelical -... |
religions_numeric |
religions_numeric | float | 0% | 1 | 43.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/es.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 43.9 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 39.6 |
composition_religion_protestant__evangelical_unspecified_pct_synth |
Evangelical - unspecified | numeric | 0% | - | 38.2 |
composition_religion_protestant__evangelical_methodist_pct_synth |
Evangelical - Methodist | numeric | 0% | - | 1.3 |
composition_religion_protestant__evangelical_baptist_pct_synth |
Evangelical - Baptist | numeric | 0% | - | 0.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 16.3 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.2 |
composition_ethnicity_mestizo_pct_synth |
Mestizo | numeric | 0% | - | 86.3 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 12.7 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 0.2 |
composition_ethnicity_black_pct_synth |
Black | numeric | 0% | - | 0.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.6 |
composition_ethnicity_primary_share_pct_synth |
Mestizo | numeric | 0% | - | 86.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | YS |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 27.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLV |
country_name |
Country name | string | SEL | 0% | 1 | El Salvador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 27 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 12.5 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 12.5 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 12.5 km (2014) 0.914-mm gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 12.5 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 5 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 5.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | other 5 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 5.0 |
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 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 3 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 3.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Acajutla, Acajutla Offshore Terminal, La Union |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/es.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SV, SV, SV, SV, SV |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | SLV, SLV, SLV, SLV, SLV |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 13 | 2.74, 0.0, -8.22, -2.38, -13.57 |
grocery |
grocery | float | 0% | 10 | -3.65, 0.0, 0.0, 0.0, 7.71 |
parks |
parks | float | 0% | 14 | 7.14, -25.4, -4.32, -19.52, -22.83 |
transit |
transit | float | 0% | 10 | -6.4, 0.0, -1.46, -6.07, 2.77 |
workplaces |
workplaces | float | 0% | 13 | -4.81, -17.23, -17.41, -6.58, -15.66 |
residential |
residential | float | 0% | 13 | 2.27, 0.0, -0.09, 2.36, 9.63 |
region |
region | string | 0% | 14 | Ahuachapán Department, Cabañas Department, Chalatenango... |
observation_count |
observation_count | integer | 0% | 5 | 949, 949, 949, 949, 974 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 12 | San Salvador, Santa Ana, Sonsonate, San Miguel, Lourdes |
country_code |
Country code | string | SEL | 0% | 1 | SLV, SLV, SLV, SLV, SLV |
population |
Population count | integer | SEL | 0% | 12 | 1615741, 205665, 181726, 165222, 134316 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 12 | 916, 510, 197, 1464, 788 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | El Salvador, El Salvador, El Salvador, El Salvador, El Salvador |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 7 | caca1247, kekc1242, lenc1243, pipi1250, poqo1253 |
name |
Name | string | CCL | 0% | 7 | Cacaopera, Q'eqchi', Lenca-Salvador, Pipil, Poqomam |
iso639_3 |
Iso639 3 | string | CCL | 14% | 6 | ccr, kek, ppl, poc, esn |
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% | 6 | misu1242, maya1287, lenc1239, utoa1244, maya1287 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 7 | mata1287, grea1276, lenc1239, isth1246, poco1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 4 | ['SV'], ['BZ', 'GT', 'SV'], ['SV'], ['SV'], ['GT', 'SV'] |
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% | 2 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 7 | 13.7437, 15.3788, 13.560562, 13.8931, 14.73252 |
longitude |
longitude | float | 0% | 7 | -88.1133, -89.2452, -88.114014, -89.443, -89.73796 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SLV, SLV |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | spa, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Spanish, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 3035, 38 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 98.7634, 1.2366 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SLV |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | El Salvador |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9837 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 12241 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 8133 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 12239 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 7105 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 4979 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2096 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1317 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1019 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 382 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 459 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 432 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1470 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 946 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 92 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 77 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV, SLV |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Whites/mestizos, Indigenous peoples |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | MONOPOLY, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.9, 0.1 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 9201000, 9202000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
society_id |
Society id | string | CCL | 0% | 1 | Sa3 |
society_name |
Society name | string | CCL | 0% | 1 | Ch'orti' |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | chor1273 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:1; EA003:1; EA004:2; EA005:6 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:2; EA007:8; EA008:7; EA009:1; EA010:2 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:3; EA029:6; EA030:8; EA031:NA; EA032:4 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:2; EA034:2; EA035:1 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:2; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:2; EA012:2; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | El Salvador |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 14.0 |
longitude |
longitude | float | 0% | 1 | -89.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | SLV |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 143 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 3.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 4 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 53 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 7 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 7 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 24 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 7.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 7 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 71 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.4 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.88 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 93 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.43 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 5 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 7 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 6.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 77 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.92 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.94 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 38 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLV |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Spanish (spa) | 3,035 | 98.8% | — |
| English (eng) | 38 | 1.2% | — |
8,133 distinct features ·
2 languages ·
0 scripts ·
2 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| commercial | bulk_download | |
| Ethnic Power Relations Dataset | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.