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.
| 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. | |||||
| 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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | SLV, SLV, SLV, SLV, SLV |
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 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 47360.0, 39537.0, 31713.0, 36029.0, 40342.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 4 | 0.9, 0.7, 0.5, 0.6, 0.7 |
net_migration |
net_migration | float | 0% | 66 | -4885.0, -4159.0, -10307.0, -9774.0, -7937.0 |
remittances_received_usd |
remittances_received_usd | float | 24% | 50 | 10600000.38, 54000000.0, 67839996.34, 100000000.0, 49040000.92 |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 24% | 50 | 0.455271699483237, 1.83571062959062, 2.16882557129887,... |
remittances_paid_usd |
remittances_paid_usd | float | 24% | 49 | 6400000.095, 14760000.23, 20879999.16, 24120000.84, 9119999.886 |
| 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_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_country_code_text |
Internet country code text | string | 0% | 1 | .sv |
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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | YS |
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% | - | - |
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 |
country_codes |
Country codes | string | 0% | 4 | ['SV'], ['BZ', 'GT', 'SV'], ['SV'], ['SV'], ['GT', 'SV'] |
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 |
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 | EA017:1; EA018:1; EA019:1; EA020:1; EA021:1; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:2; EA007:8; EA008:7; EA009:1; EA023:12; EA025:15 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:0; EA002:1; EA003:1; EA004:2; EA005:6; EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:4; EA033:2 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:2; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:2; EA011:2; EA012:2; EA013:9; EA014:11 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:8; EA031:NA |
| 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 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
| 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 |
| 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 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 0% | 1 | 4 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 1 | 2 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 2 |
trance_states |
trance_states | string | 100% | - | - |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 8 |
mean_size_of_local_communities |
mean_size_of_local_communities | string | 100% | - | - |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 2 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 2 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 2 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 1 | 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 1 | 11 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 1 | 1 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 1 | 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 1 | 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 1 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 0% | 1 | 4 |
descent_major_type |
descent_major_type | integer | 0% | 1 | 6 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | SLV |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 42474.5714285714 |
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 | 0.660956496230314 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 20720.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.025 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.784678151252324 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 8.0 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 27.5112686157227 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 3.7 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 2.6 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 3.4 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 6.2 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.9 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.7 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 1.5 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 0.5 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.4 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 6.0 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 1.7 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 1.2 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.1 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 2.1 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 3.4 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 2.6 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 1.7 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 4.7 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 1.3 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 4.6 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 3.0 |
| +243 more pending fields — download the CSV/Parquet to see them all. | |||||
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.
* Shares are of the
3,073 names that carry a language
code; the remaining 9,168 of
12,241 are unattributed, so these
percentages do not divide into the headline count.
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 |
| commercial | bulk_download | |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| INFORM Risk Index (EC-JRC) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | 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.