3 further sources (Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab) 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 | CR |
region_name |
Region name | string | SEL | 0% | 1 | Costa Rica |
F_TL |
Female population | integer | SEL | 0% | 1 | 2562367 |
M_TL |
Male population | integer | SEL | 0% | 1 | 2600654 |
T_TL |
Total population | integer | SEL | 0% | 1 | 5163021 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2021 |
year |
year | integer | 0% | 1 | 2021 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 177309 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 183306 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 181967 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 182344 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 203657 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 213707 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 217744 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 208763 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 181525 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 153602 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 145859 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 140365 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 120001 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 92872 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 62099 |
F_75Plus |
F_75Plus | integer | 0% | 1 | 97247 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 185888 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 192246 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 191359 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 192375 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 211809 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 227595 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 231297 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 218890 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 183399 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 151856 |
M_50_54 |
Male population age 50-54 | integer | 0% | 1 | 139912 |
| +21 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% | 7 | CR1, CR2, CR3, CR4, CR5 |
region_name |
Region name | string | SEL | 0% | 7 | San José, Alajuela, Cartago, Heredia, Guanacaste |
F_TL |
Female population | integer | SEL | 0% | 7 | 842177, 514113, 271098, 265532, 196600 |
M_TL |
Male population | integer | SEL | 0% | 7 | 831506, 528604, 273453, 267422, 202809 |
T_TL |
Total population | integer | SEL | 0% | 7 | 1673683, 1042717, 544551, 532954, 399409 |
| 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 | 2021, 2021, 2021, 2021, 2021 |
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
F_00_04 |
Female population age 0-4 | integer | 0% | 7 | 51082, 36588, 17674, 17708, 15496 |
F_05_09 |
Female population age 5-9 | integer | 0% | 7 | 53806, 37418, 18668, 18541, 15810 |
F_10_14 |
Female population age 10-14 | integer | 0% | 7 | 52213, 37773, 18183, 18677, 15439 |
F_15_19 |
Female population age 15-19 | integer | 0% | 7 | 53433, 37788, 18181, 18523, 14284 |
F_20_24 |
Female population age 20-24 | integer | 0% | 7 | 64566, 42486, 21682, 19743, 14775 |
F_25_29 |
Female population age 25-29 | integer | 0% | 7 | 70617, 43955, 22817, 20044, 15802 |
F_30_34 |
Female population age 30-34 | integer | 0% | 7 | 72471, 44700, 23308, 22154, 16664 |
F_35_39 |
Female population age 35-39 | integer | 0% | 7 | 70620, 41083, 21740, 22673, 16181 |
F_40_44 |
Female population age 40-44 | integer | 0% | 7 | 61003, 35211, 19363, 19870, 13788 |
F_45_49 |
Female population age 45-49 | integer | 0% | 7 | 51504, 30479, 16899, 16628, 11290 |
F_50_54 |
Female population age 50-54 | integer | 0% | 7 | 49724, 29173, 16507, 15668, 10477 |
F_55_59 |
Female population age 55-59 | integer | 0% | 7 | 49992, 26894, 15848, 15479, 9812 |
F_60_64 |
Female population age 60-64 | integer | 0% | 7 | 44243, 22503, 13139, 13070, 8649 |
F_65_69 |
Female population age 65-69 | integer | 0% | 7 | 35002, 17602, 9972, 10108, 6590 |
F_70_74 |
Female population age 70-74 | integer | 0% | 7 | 23626, 12006, 6599, 6668, 4438 |
F_75Plus |
F_75Plus | integer | 0% | 7 | 38275, 18454, 10518, 9978, 7105 |
M_00_04 |
Male population age 0-4 | integer | 0% | 7 | 53611, 38144, 18703, 18621, 16080 |
M_05_09 |
Male population age 5-9 | integer | 0% | 7 | 56645, 39221, 19893, 19390, 16157 |
M_10_14 |
Male population age 10-14 | integer | 0% | 7 | 54964, 39518, 19182, 19677, 16510 |
M_15_19 |
Male population age 15-19 | integer | 0% | 7 | 56831, 39715, 19121, 20011, 15092 |
M_20_24 |
Male population age 20-24 | integer | 0% | 7 | 67405, 44730, 22748, 21131, 14872 |
M_25_29 |
Male population age 25-29 | integer | 0% | 7 | 76073, 47805, 24593, 21491, 16282 |
M_30_34 |
Male population age 30-34 | integer | 0% | 7 | 77061, 48953, 25098, 23722, 17521 |
M_35_39 |
Male population age 35-39 | integer | 0% | 7 | 73337, 43672, 22597, 23725, 17346 |
M_40_44 |
Male population age 40-44 | integer | 0% | 7 | 61207, 35767, 19003, 19809, 14163 |
M_45_49 |
Male population age 45-49 | integer | 0% | 7 | 49726, 29596, 16238, 16382, 11594 |
M_50_54 |
Male population age 50-54 | integer | 0% | 7 | 45830, 28013, 15505, 14555, 10522 |
| +21 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
pcode |
pcode | string | 0% | 81 | CR101, CR102, CR103, CR104, CR105 |
region_name |
region_name | string | 0% | 81 | San José, Escazu, Desamparados, Puriscal, Tarrazú |
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
F_TL |
F_TL | integer | 0% | 81 | 176321, 35823, 123942, 19014, 9176 |
M_TL |
M_TL | integer | 0% | 81 | 173357, 34819, 123390, 19284, 9490 |
T_TL |
T_TL | integer | 0% | 81 | 349678, 70642, 247332, 38298, 18666 |
F_00_04 |
F_00_04 | integer | 0% | 80 | 9216, 2128, 8051, 1075, 751 |
F_05_09 |
F_05_09 | integer | 0% | 81 | 9670, 2260, 8504, 1252, 696 |
F_10_14 |
F_10_14 | integer | 0% | 80 | 9498, 2235, 8221, 1057, 678 |
F_15_19 |
F_15_19 | integer | 0% | 81 | 10121, 2231, 8445, 1097, 636 |
F_20_24 |
F_20_24 | integer | 0% | 81 | 12625, 2484, 9801, 1495, 906 |
F_25_29 |
F_25_29 | integer | 0% | 79 | 14310, 2595, 10343, 1923, 915 |
F_30_34 |
F_30_34 | integer | 0% | 81 | 14867, 2856, 10836, 1878, 790 |
F_35_39 |
F_35_39 | integer | 0% | 80 | 15414, 2965, 10351, 1540, 647 |
F_40_44 |
F_40_44 | integer | 0% | 81 | 13430, 2705, 8707, 1242, 583 |
F_45_49 |
F_45_49 | integer | 0% | 79 | 11145, 2442, 7394, 1110, 494 |
F_50_54 |
F_50_54 | integer | 0% | 81 | 10403, 2428, 7127, 1186, 496 |
F_55_59 |
F_55_59 | integer | 0% | 79 | 10891, 2302, 7212, 1118, 462 |
F_60_64 |
F_60_64 | integer | 0% | 80 | 10208, 1964, 6211, 906, 360 |
F_65_69 |
F_65_69 | integer | 0% | 81 | 8313, 1534, 4786, 748, 272 |
F_70_74 |
F_70_74 | integer | 0% | 79 | 5962, 1023, 3161, 522, 196 |
F_75Plus |
F_75Plus | integer | 0% | 78 | 10248, 1671, 4792, 865, 294 |
M_00_04 |
M_00_04 | integer | 0% | 78 | 9662, 2227, 8441, 1122, 801 |
M_05_09 |
M_05_09 | integer | 0% | 81 | 10266, 2283, 8764, 1286, 749 |
M_10_14 |
M_10_14 | integer | 0% | 80 | 10167, 2308, 8586, 1198, 724 |
M_15_19 |
M_15_19 | integer | 0% | 80 | 10989, 2340, 8939, 1206, 657 |
M_20_24 |
M_20_24 | integer | 0% | 81 | 13456, 2719, 10299, 1543, 920 |
M_25_29 |
M_25_29 | integer | 0% | 80 | 15736, 2843, 11402, 1990, 947 |
| +26 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% | 100 | CR10101, CR10102, CR10103, CR10104, CR10105 |
region_name |
Region name | string | SEL | 0% | 92 | Carmen, Merced, Hospital, Catedral, Zapote |
F_TL |
Female population | integer | SEL | 0% | 99 | 1521, 7773, 12065, 7910, 11139 |
M_TL |
Male population | integer | SEL | 0% | 100 | 1452, 7536, 11794, 7729, 10790 |
T_TL |
Total population | integer | SEL | 0% | 100 | 2973, 15309, 23859, 15639, 21929 |
| 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 | 2021, 2021, 2021, 2021, 2021 |
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
F_00_04 |
Female population age 0-4 | integer | 0% | 94 | 37, 385, 632, 321, 461 |
F_05_09 |
Female population age 5-9 | integer | 0% | 93 | 45, 400, 692, 337, 533 |
F_10_14 |
Female population age 10-14 | integer | 0% | 96 | 38, 399, 664, 338, 504 |
F_15_19 |
Female population age 15-19 | integer | 0% | 95 | 38, 442, 722, 366, 529 |
F_20_24 |
Female population age 20-24 | integer | 0% | 99 | 67, 557, 864, 448, 645 |
F_25_29 |
Female population age 25-29 | integer | 0% | 93 | 73, 688, 992, 521, 674 |
F_30_34 |
Female population age 30-34 | integer | 0% | 96 | 154, 668, 1004, 707, 973 |
F_35_39 |
Female population age 35-39 | integer | 0% | 96 | 184, 673, 1032, 773, 1081 |
F_40_44 |
Female population age 40-44 | integer | 0% | 96 | 159, 584, 897, 672, 941 |
F_45_49 |
Female population age 45-49 | integer | 0% | 94 | 129, 486, 749, 561, 783 |
F_50_54 |
Female population age 50-54 | integer | 0% | 94 | 117, 460, 707, 529, 741 |
F_55_59 |
Female population age 55-59 | integer | 0% | 92 | 117, 484, 741, 556, 780 |
F_60_64 |
Female population age 60-64 | integer | 0% | 94 | 106, 456, 698, 525, 734 |
F_65_69 |
Female population age 65-69 | integer | 0% | 95 | 83, 372, 568, 427, 599 |
F_70_74 |
Female population age 70-74 | integer | 0% | 87 | 57, 268, 410, 308, 431 |
F_75Plus |
F_75Plus | integer | 0% | 94 | 117, 451, 693, 521, 730 |
M_00_04 |
Male population age 0-4 | integer | 0% | 94 | 39, 403, 661, 336, 482 |
M_05_09 |
Male population age 5-9 | integer | 0% | 95 | 43, 419, 690, 384, 555 |
M_10_14 |
Male population age 10-14 | integer | 0% | 96 | 42, 427, 700, 377, 535 |
M_15_19 |
Male population age 15-19 | integer | 0% | 95 | 42, 495, 766, 400, 570 |
M_20_24 |
Male population age 20-24 | integer | 0% | 95 | 64, 572, 931, 485, 687 |
M_25_29 |
Male population age 25-29 | integer | 0% | 94 | 86, 684, 1089, 573, 748 |
M_30_34 |
Male population age 30-34 | integer | 0% | 95 | 170, 717, 1105, 778, 1072 |
M_35_39 |
Male population age 35-39 | integer | 0% | 97 | 195, 716, 1096, 823, 1149 |
M_40_44 |
Male population age 40-44 | integer | 0% | 93 | 162, 602, 922, 692, 966 |
M_45_49 |
Male population age 45-49 | integer | 0% | 98 | 125, 479, 735, 551, 771 |
M_50_54 |
Male population age 50-54 | integer | 0% | 94 | 109, 432, 662, 497, 694 |
| +21 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 | CR, CR, CR, CR, CR |
population_count |
Population count | float | SEL | 2% | 65 | 1327496.0, 1377920.0, 1429445.0, 1481604.0, 1533960.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 63.463, 63.86, 64.232, 64.326, 64.493 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 382.309121831519, 355.844447873806, 335.221589042255,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 96% | 3 | 92.629997253418, 94.870002746582, 97.4100036621094 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 96.2, 93.6, 92.7, 92.5, 91.8 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 46% | 31 | 28.3, 27.1, 31.9, 29.4, 23.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Costa Rica, Costa Rica, Costa Rica, Costa Rica, Costa Rica |
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 | CR, CR, CR, CR, CR |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 63.463, 63.86, 64.232, 64.326, 64.493 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 50 | 30.4, 30.1, 30.2, 30.5, 30.6 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 96.2, 93.6, 92.7, 92.5, 91.8 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 19 | 43.0, 42.0, 41.0, 40.0, 40.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.712, 6.651, 6.543, 6.389, 6.193 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 45.467, 44.808, 43.885, 42.725, 41.379 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 60 | 8.663, 8.413, 8.175, 8.031, 7.848 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 50% | 33 | 0.391, 0.517, 0.614, 0.679, 0.99 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 52% | 28 | 4.7907772064209, 3.93959999084473, 3.31439995765686,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 15 | 86.0, 85.0, 81.0, 86.0, 93.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 6.56498718, 6.47409868, 6.8690877, 6.9691925, 6.63006067 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Costa Rica, Costa Rica, Costa Rica, Costa Rica, Costa Rica |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CRI, CRI, CRI, CRI, CRI |
country_name |
country_name | string | 0% | 1 | Costa Rica, Costa Rica, Costa Rica, Costa Rica, Costa Rica |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 417628.0, 364287.0, 310946.0, 358398.0, 405779.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 7 | 13.4, 10.3, 7.9, 8.4, 8.9 |
net_migration |
net_migration | float | 0% | 64 | 910.0, 924.0, 934.0, 938.0, 934.0 |
remittances_received_usd |
remittances_received_usd | float | 26% | 49 | 2000000.0, 2900000.095, 2700000.048, 4099999.905, 2400000.095 |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 26% | 49 | 0.0650951183427542, 0.0823113318442025,... |
remittances_paid_usd |
remittances_paid_usd | float | 41% | 36 | 500000.0, 600000.0238, 600000.0238, 699999.9881, 699999.9881 |
| 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 |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 16 | boru1252, brib1243, brib1244, brun1247, cabe1245 |
name |
Name | string | CCL | 0% | 16 | Boruca, Bribri, Bribri Sign Language, Brunca Sign... |
iso639_3 |
Iso639 3 | string | CCL | 19% | 13 | brn, bzd, rib, rnb, cjp |
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% | 5 | chib1249, chib1249, sign1238, sign1238, chib1249 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 11 | west2641, vice1244, deaf1237, deaf1237, vice1244 |
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% | 6 | 0, 3, 0, 0, 4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 6% | 15 | 8.88093, 9.39794, 9.4, 9.978549, 9.67031 |
longitude |
longitude | float | 6% | 15 | -83.2124, -83.0539, -83.05, -84.821363, -83.4102 |
country_codes |
Country codes | string | 0% | 4 | ['CR'], ['CR', 'PA'], ['CR'], ['CR'], ['CR'] |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 12.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 136.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 85.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 23.0 |
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | 610,000 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 610000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 6.98 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 6.98 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 136 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | over two dozen privately owned TV stations and 1... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .cr |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 85% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.15 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.15 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 23 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.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 | 27000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 95.35 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 24.4 |
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | trade-based upper middle-income economy; green economy... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $138.371 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 | 138.371 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $132.64 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 | 132.64 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $126.189 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 | 126.189 |
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 | 4.3% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.6 |
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 | $27,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $26,000 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 26000.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $24,800 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 24800.0 |
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 | $95.35 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | -0.4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | -0.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 0.5% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 0.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 8.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 8.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +122 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 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | 3.751 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.751 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 9.957 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 9.957 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 774 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 774.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 54 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 54.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.039 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.039 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 0.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.7% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.7 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 12.7% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 12.7 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 72.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 72.9 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 13.1% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 13.1 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.5% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.5 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 23,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 23000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 24,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 24000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 400 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 400.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 60,000 bbl/day (2023 est.) |
| +5 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 | 33.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 58.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 82.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.5 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.46 |
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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, largely from clearing land for cattle... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | tropical and subtropical; dry season (December to... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 33.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 3.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 3.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 7.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 7.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 22.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 22.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 58.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 8.4% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 8.4 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 82.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.5% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 7.91 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 7.91 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 58,000 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 | 58000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 7.852 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 | 7.852 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 15.1 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 15.1 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.46 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 | 5.4% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 5.4 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 1.109 billion cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 1.109 |
| +8 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 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | Costa Rican(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Costa Rican |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | White or Mestizo 83.6%, Mulatto 6.7%, Indigenous 2.4%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 83.6 |
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/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 51100.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 51060.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 40.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 661.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1290.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3819.0 |
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 | 33.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 58.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1015.0 |
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 both the Caribbean Sea and... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 10 00 N, 84 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 10.0 |
map_references_text |
map_references_text | string | 0% | 1 | Central America and the Caribbean |
area_total_text |
area_total_text | string | 0% | 1 | 51,100 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 51,060 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 40 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Isla del Coco |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than West Virginia |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 661 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Nicaragua 313 km; Panama 348 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 313.0 |
coastline_text |
coastline_text | string | 0% | 1 | 1,290 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical and subtropical; dry season (December to... |
terrain_text |
terrain_text | string | 0% | 1 | coastal plains separated by rugged mountains including... |
terrain_numeric |
terrain_numeric | float | 0% | 1 | 100.0 |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Cerro Chirripo 3,819 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 | 746 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 746.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | hydropower |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 33.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 3.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 3.3 |
| +15 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 | CRI |
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 Costa Rica |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Costa Rica |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República de Costa Rica |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Costa Rica |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name means "rich coast" in Spanish; Christopher... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1502.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | San José |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 9 56 N, 84 05 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 9.0 |
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 settlers originally named the city Villa Nueva... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1736.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 7 provinces (provincias, singular - provincia);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 7.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on Spanish civil code; Supreme... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | many previous; latest effective 8 November 1949 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 8.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposals require the signatures of at least 10... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 10.0 |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction |
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 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal and compulsory |
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 Rodrigo CHAVES Robles (since 8 May 2022) |
| +77 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 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Although explored by the Spanish early in the 16th... |
background_numeric |
background_numeric | float | 0% | 1 | 16.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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), English |
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/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | 249,521 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 249521.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 58 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 58.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 345 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 345.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | Ministry of Public Security (Ministerio de Seguridad... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 0.6% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.6% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.7% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 10-15,000 Ministry of Public Security... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the National Police are lightly armed although small... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_note_text |
military_note_text | string | 0% | 1 | Costa Rica relies on specialized paramilitary units... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 5304932.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 2654314.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 2650618.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 18.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 70.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 11.1 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 42.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 26.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 16.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 36.0 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.75 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 10.86 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.24 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 1.89 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 82.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.5 |
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 | 1.0 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 24.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 6.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 80.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.45 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.71 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.69 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.2 |
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | 5,304,932 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 2,654,314 |
population_female_text |
population_female_text | string | 0% | 1 | 2,650,618 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 18.8% (male 506,041/female 482,481) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 70.2% (male 1,862,872/female 1,832,024) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 11.1% (2024 est.) (male 266,568/female 315,589) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 42.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 26.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 16.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 6.1 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 6.1 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 36 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 34.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 34.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 36.1 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 36.1 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.75% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 10.86 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.24 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 1.89 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | roughly half of the nation's population resides in urban... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 82.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.5% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.462 million SAN JOSE (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.462 |
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 | 1.02 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.02 |
| +86 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 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 3.1 |
composition_ethnicity_primary_label_synth |
White or Mestizo | string | CCL | 0% | - | White or Mestizo |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 47.5%, Evangelical and Pentecostal 19.8%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 47.5 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 47.5 |
composition_religion_evangelical_and_pentecostal_pct_synth |
Evangelical and Pentecostal | numeric | 0% | - | 19.8 |
composition_religion_jehovah_s_witness_pct_synth |
Jehovah's Witness | numeric | 0% | - | 1.4 |
composition_religion_other_protestant_pct_synth |
other Protestant | numeric | 0% | - | 1.2 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 27.0 |
composition_ethnicity_white_or_mestizo_pct_synth |
White or Mestizo | numeric | 0% | - | 83.6 |
composition_ethnicity_mulatto_pct_synth |
Mulatto | numeric | 0% | - | 6.7 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 2.4 |
composition_ethnicity_black_or_african_descent_pct_synth |
Black or African descent | numeric | 0% | - | 1.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 1.1 |
composition_ethnicity_none_pct_synth |
none | numeric | 0% | - | 2.9 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 2.2 |
composition_ethnicity_primary_share_pct_synth |
White or Mestizo | numeric | 0% | - | 83.6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Costa Rican Space Agency (ACE; established by... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2021.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a small, recently established program focused on... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 2018 - first domestically produced remote sensing cube... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2018.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 132.0 |
country_code |
Country code | string | SEL | 0% | 1 | CRI |
country_name |
Country name | string | SEL | 0% | 1 | Costa Rica |
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 | TI |
airports_text |
airports_text | string | 0% | 1 | 132 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 8 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 8.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 278 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 278.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 278 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 278.0 |
railways_note |
railways_note | string | 0% | 1 | note: the entire rail network fell into disrepair and... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 11 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 11.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | other 11 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 11.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
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 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 5 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 5.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 4 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 4.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Golfito, Puerto Caldera, Puerto Limon, Puerto Moin,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cs.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Costa Rica |
admin_code |
Admin code | string | SEL | 0% | 1 | 71097903B43429010550872 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 51094.5563 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 5236324 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 102.48 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI, CRI, CRI, CRI, CRI |
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% | 7 | Provincia San José, Provincia Alajuela, Provincia... |
admin_code |
Admin code | string | SEL | 0% | 7 | 80129987B28144345958142, 80129987B16009817839121,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 7 | 4960.781, 9737.4755, 3067.4105, 2671.8421, 11355.6835 |
pop_2024 |
Population count | integer | SEL | 0% | 7 | 1720862, 1058072, 548755, 542688, 495048 |
pop_density_2024 |
Population density | float | SEL | 0% | 7 | 346.89, 108.66, 178.9, 203.11, 43.59 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI, CRI, CRI, CRI, CRI |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 5 | San José, Cartago, Limón, Liberia, Barranca |
admin_code |
Admin code | integer | SEL | 0% | 5 | 363, 513, 655, 12, 200 |
area_sqkm |
Area sqkm | float | SEL | 0% | 5 | 487.9075, 44.717, 15.8993, 12.9188, 20.8678 |
pop_2024 |
Population count | integer | SEL | 0% | 5 | 2157644, 184122, 60628, 47340, 39342 |
pop_density_2024 |
Population density | float | SEL | 0% | 5 | 4422.24, 4117.49, 3813.25, 3664.43, 1885.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 5 | 2272572, 189383, 50579, 52864, 65405 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 5 | 0.949, 0.972, 1.199, 0.896, 0.602 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 5 | San José, Cartago, Barranca, Liberia, Limón |
country_code |
Country code | string | SEL | 0% | 1 | CRI, CRI, CRI, CRI, CRI |
population |
Population count | integer | SEL | 0% | 5 | 2272572, 189383, 65405, 52864, 50579 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 5 | 363, 513, 200, 12, 655 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Costa Rica, Costa Rica, Costa Rica, Costa Rica, Costa Rica |
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 |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CRI, CRI |
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 | 19016, 139 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.2743, 0.7257 |
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 | CRI |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Costa Rica |
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 | 99.9909 |
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 | 21889 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 19294 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 21887 |
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 | 7064 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 5923 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 3042 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 2835 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 7464 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 6788 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3325 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2911 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 223 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 90 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 724 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 702 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 46 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 44 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CRI |
society_id |
Society id | string | CCL | 0% | 1 | Sa5 |
society_name |
Society name | string | CCL | 0% | 1 | Bribri |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | brib1243 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA017:1; EA018:1; EA019:6; EA020:6; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:2; EA007:8; EA008:1; EA009:1; EA023:1; EA025:15 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:1; EA002:1; EA003:2; EA004:1; EA005:5; EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:2; EA033:1 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:3; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:9; EA011:2; EA012:6; EA013:1; EA014:10 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:5; EA031:NA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Costa Rica |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 9.0 |
longitude |
longitude | float | 0% | 1 | -83.0 |
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 | CRI |
society_id |
society_id | string | CCL | 0% | 1 | Sa5 |
society_name |
society_name | string | CCL | 0% | 1 | Bribri |
language_glottocode |
language_glottocode | string | CCL | 0% | 1 | brib1243 |
language_name |
language_name | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Costa Rica |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 9.0 |
longitude |
longitude | float | 0% | 1 | -83.0 |
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 | 2 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 1 | 1 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 3 |
trance_states |
trance_states | string | 100% | - | - |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 5 |
mean_size_of_local_communities |
mean_size_of_local_communities | string | 100% | - | - |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 9 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 2 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 6 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 1 | 1 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 1 | 10 |
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 | 6 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 6 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 0% | 1 | 5 |
descent_major_type |
descent_major_type | integer | 0% | 1 | 3 |
| +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 | CRI |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 0.0 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.114285714285714 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.0 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 51060.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.0 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.0323927677770031 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 3.4 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 0.829261600971222 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 2.2 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 1.7 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 2.0 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 3.6 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.7 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 2.0 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.3 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 3.3 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 1.3 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 3.3 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 0.4 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 1.3 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 1.9 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 0.0 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 5.6 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.1 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 2.6 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 0.8 |
| +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) | 19,016 | 99.3% | — |
| English (eng) | 139 | 0.7% | — |
19,294 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
19,155 names that carry a language
code; the remaining 2,734 of
21,889 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 |
| World Bank Open Data | international_organization | api |
| 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 |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.