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 | CU |
region_name |
Admin name | string | SEL | 0% | 1 | Cuba |
poblacion_total |
Population count | integer | SEL | 0% | 1 | 11167325 |
poblacion_masculina |
Population male | integer | SEL | 0% | 1 | 5570825 |
poblacion_femenina |
Population female | integer | SEL | 0% | 1 | 5596500 |
relacion_masculinidad |
Sex ratio overall | integer | SEL | 0% | 1 | 995 |
poblacion_urbana |
Urban population | integer | SEL | 0% | 1 | 8575189 |
poblacion_rural |
Rural population | integer | SEL | 0% | 1 | 2592136 |
grado_urbanizacion_pct |
Urban population percent | float | SEL | 0% | 1 | 76.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
region_name_raw |
region_name_raw | string | 0% | 1 | CUBA |
admin_level |
admin_level | string | 0% | 1 | admin_0 |
province_code |
province_code | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | integer | SEL | 0% | 16 | 21, 22, 23, 24, 25 |
region_name |
Admin name | string | SEL | 0% | 16 | Pinar del Río, Artemisa, La Habana, Mayabeque, Matanzas |
poblacion_total |
Population count | integer | SEL | 0% | 16 | 587026, 494631, 2106146, 376825, 694476 |
poblacion_masculina |
Population male | integer | SEL | 0% | 16 | 298498, 249463, 1008922, 191329, 348002 |
poblacion_femenina |
Population female | integer | SEL | 0% | 16 | 288528, 245168, 1097224, 185496, 346474 |
relacion_masculinidad |
Sex ratio overall | integer | SEL | 0% | 14 | 1035, 1018, 920, 1031, 1004 |
poblacion_urbana |
Urban population | integer | SEL | 0% | 16 | 377659, 349164, 2106146, 277066, 578155 |
poblacion_rural |
Rural population | integer | SEL | 0% | 16 | 209367, 145467, 0, 99759, 116321 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
region_name_raw |
region_name_raw | string | 0% | 16 | PINAR DE RÍO, ARTEMISA, LA HABANA, MAYABEQUE, MATANZAS |
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
province_code |
province_code | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | integer | SEL | 0% | 100 | 2101, 2102, 2103, 2104, 2105 |
region_name |
Admin name | string | SEL | 0% | 100 | Sandino, Mantua, Minas de Matahambre, Viñales, La Palma |
poblacion_total |
Population count | integer | SEL | 0% | 100 | 37293, 24780, 33030, 27771, 34920 |
poblacion_masculina |
Population male | integer | SEL | 0% | 99 | 19515, 13321, 17129, 14127, 17920 |
poblacion_femenina |
Population female | integer | SEL | 0% | 100 | 17778, 11459, 15901, 13644, 17000 |
relacion_masculinidad |
Sex ratio overall | integer | SEL | 0% | 73 | 1098, 1162, 1077, 1035, 1054 |
poblacion_urbana |
Urban population | integer | SEL | 0% | 100 | 23321, 14270, 21479, 16150, 17118 |
poblacion_rural |
Rural population | integer | SEL | 0% | 86 | 13972, 10510, 11551, 11621, 17802 |
grado_urbanizacion_pct |
Urban population percent | float | SEL | 0% | 76 | 62.5, 57.6, 65.0, 58.2, 49.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
region_name_raw |
region_name_raw | string | 0% | 100 | Sandino, Mantua, Minas de Matahambre, Viñales, La Palma |
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
province_code |
province_code | integer | 0% | 9 | 21, 21, 21, 21, 21 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | CU |
region_name |
Admin name | string | SEL | 0% | 1 | Cuba |
pob_total |
Population count | integer | SEL | 0% | 1 | 11167325 |
pob_blanca |
Pob blanca | integer | CCL | 0% | 1 | 7160399 |
pob_negra |
Pob negra | integer | CCL | 0% | 1 | 1034044 |
pob_mestiza |
Pob mestiza | integer | CCL | 0% | 1 | 2972882 |
pct_blanca |
Percent blanca | float | CCL | 0% | 1 | 64.1 |
pct_negra |
Percent negra | float | CCL | 0% | 1 | 9.3 |
pct_mestiza |
Percent mestiza | float | CCL | 0% | 1 | 26.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
data_source_table |
data_source_table | string | 0% | 1 | Cuadro 1 + Cuadro 13 (color de la piel) |
tasa_actividad_total_pct |
tasa_actividad_total_pct | float | 0% | 1 | 54.3 |
tasa_actividad_blanca_pct |
tasa_actividad_blanca_pct | float | 0% | 1 | 50.9 |
tasa_actividad_negra_pct |
tasa_actividad_negra_pct | float | 0% | 1 | 57.9 |
tasa_actividad_mestiza_pct |
tasa_actividad_mestiza_pct | float | 0% | 1 | 54.2 |
no_nativa_total_pct |
no_nativa_total_pct | float | 0% | 1 | 11.2 |
no_nativa_blanca_pct |
no_nativa_blanca_pct | float | 0% | 1 | 11.2 |
no_nativa_negra_pct |
no_nativa_negra_pct | float | 0% | 1 | 12.3 |
no_nativa_mulata_pct |
no_nativa_mulata_pct | float | 0% | 1 | 12.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | integer | SEL | 0% | 16 | 21, 22, 23, 24, 25 |
region_name |
Admin name | string | SEL | 0% | 16 | Pinar del Río, Artemisa, La Habana, Mayabeque, Matanzas |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
data_source_table |
data_source_table | string | 0% | 1 | Cuadro 4 (población no nativa por color de la piel),... |
no_nativa_total_pct |
no_nativa_total_pct | float | 0% | 15 | 2.8, 13.8, 24.8, 18.0, 10.9 |
no_nativa_blanca_pct |
no_nativa_blanca_pct | float | 0% | 16 | 2.6, 12.9, 25.3, 16.4, 10.1 |
no_nativa_negra_pct |
no_nativa_negra_pct | float | 0% | 16 | 3.2, 15.3, 20.8, 23.0, 11.1 |
no_nativa_mulata_pct |
no_nativa_mulata_pct | float | 0% | 16 | 4.0, 20.1, 24.2, 30.9, 17.6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
pcode | string | SEL | 0% | 1 | CU, CU, CU, CU, CU |
region_name |
region_name | string | SEL | 0% | 1 | Cuba, Cuba, Cuba, Cuba, Cuba |
poblacion_total |
poblacion_total | integer | SEL | 0% | 12 | 11210064, 11238317, 11239004, 11239224, 11221060 |
poblacion_masculina |
poblacion_masculina | integer | SEL | 0% | 12 | 5589345, 5601414, 5600393, 5598165, 5584885 |
poblacion_femenina |
poblacion_femenina | integer | SEL | 0% | 12 | 5620719, 5636903, 5638611, 5641059, 5636175 |
relacion_masculinidad |
relacion_masculinidad | float | SEL | 0% | 12 | 994.418152, 993.704167, 993.22209, 992.396109, 990.899857 |
poblacion_urbana |
poblacion_urbana | integer | SEL | 0% | 12 | 8613668, 8636621, 8641760, 8646602, 8638905 |
grado_urbanizacion_pct |
grado_urbanizacion_pct | float | SEL | 0% | 12 | 76.8387, 76.8498, 76.8908, 76.9324, 76.9883 |
poblacion_rural |
poblacion_rural | integer | SEL | 0% | 12 | 2596396, 2601696, 2597244, 2592622, 2582155 |
grado_ruralidad_pct |
grado_ruralidad_pct | float | SEL | 0% | 12 | 23.1613, 23.1502, 23.1092, 23.0676, 23.0117 |
pct_poblacion_0_14 |
pct_poblacion_0_14 | float | SEL | 0% | 12 | 16.9455, 16.7402, 16.5198, 16.3219, 16.1258 |
pct_poblacion_60_mas |
pct_poblacion_60_mas | float | SEL | 0% | 12 | 18.6956, 19.0486, 19.367, 19.7503, 20.0688 |
indice_envejecimiento |
indice_envejecimiento | float | SEL | 0% | 12 | 1103.275318, 1137.89148, 1172.352782, 1210.048963, 1244.514323 |
relacion_dependencia |
relacion_dependencia | float | SEL | 0% | 12 | 553.785768, 557.360538, 559.74015, 564.266132, 567.264857 |
tasa_crecimiento_medio_anual |
tasa_crecimiento_medio_anual | float | SEL | 0% | 12 | 3.298275, 2.517153, 0.061128, 0.0, -1.6 |
tasa_bruta_natalidad |
tasa_bruta_natalidad | float | SEL | 0% | 11 | 11.247714, 10.926668, 11.128017, 10.4, 10.2 |
tasa_bruta_mortalidad |
tasa_bruta_mortalidad | float | SEL | 0% | 11 | 8.244839, 8.580752, 8.870541, 8.8, 9.5 |
tasa_crecimiento_natural |
tasa_crecimiento_natural | float | SEL | 0% | 12 | 3.002875, 2.345915, 2.257475, 1.6, 0.7 |
tasa_mortalidad_infantil |
tasa_mortalidad_infantil | float | SEL | 0% | 11 | 4.170639, 4.182872, 4.269814, 4.3, 4.0 |
tasa_saldo_migratorio_interno |
tasa_saldo_migratorio_interno | float | SEL | 0% | 1 | 0.0, 0.0, 0.0, 0.0, 0.0 |
tasa_saldo_migratorio_externo |
tasa_saldo_migratorio_externo | float | SEL | 0% | 11 | 0.295221, 0.171237, -2.196347, -1.5, -2.3 |
tasa_saldo_migratorio_total |
tasa_saldo_migratorio_total | float | SEL | 0% | 11 | 0.295221, 0.171237, -2.196347, -1.5, -2.3 |
tasa_global_fecundidad |
tasa_global_fecundidad | float | SEL | 0% | 12 | 1.713712, 1.677685, 1.720819, 1.621021, 1.6105 |
tasa_bruta_reproduccion |
tasa_bruta_reproduccion | float | SEL | 0% | 12 | 0.824822, 0.811483, 0.827799, 0.776085, 0.774258 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
region_name_raw |
Source region label (as published) | string | 0% | 1 | 00_CUBA, 00_CUBA, 00_CUBA, 00_CUBA, 00_CUBA |
admin_level |
Admin level | string | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
year |
Year | integer | 0% | 12 | 2013, 2014, 2015, 2016, 2017 |
pct_poblacion_15_59 |
Population 15-59 percent | float | 0% | 12 | 64.3589, 64.2112, 64.1132, 63.9277, 63.8054 |
poblacion_edad_prelaboral |
Population below working age (Cuban definition, 0-16) | integer | 0% | 12 | 2185954, 2167483, 2142570, 2114500, 2079779 |
poblacion_edad_laboral |
Population of working age (Cuban definition, 17-59 F / 17-64 M) | integer | 0% | 12 | 6976107, 7097227, 7202811, 7072193, 7173150 |
poblacion_edad_poslaboral |
Population above working age (Cuban definition, 60+ F / 65+ M) | integer | 0% | 12 | 2048003, 1973607, 1893623, 2052531, 1968131 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
pcode | integer | SEL | 0% | 16 | 21, 22, 23, 24, 25 |
region_name |
region_name | string | SEL | 0% | 16 | Pinar del Río, Artemisa, La Habana, Mayabeque, Matanzas |
poblacion_total |
poblacion_total | integer | SEL | 0% | 100 | 588296, 498439, 2117343, 378382, 699215 |
poblacion_masculina |
poblacion_masculina | integer | SEL | 0% | 100 | 298921, 251257, 1013849, 192088, 350142 |
poblacion_femenina |
poblacion_femenina | integer | SEL | 0% | 99 | 289375, 247182, 1103494, 186294, 349073 |
relacion_masculinidad |
relacion_masculinidad | float | SEL | 0% | 100 | 1032.988337, 1016.485828, 918.762585, 1031.101377, 1003.062397 |
poblacion_urbana |
poblacion_urbana | integer | SEL | 0% | 100 | 379965, 350894, 2117343, 277970, 582400 |
grado_urbanizacion_pct |
grado_urbanizacion_pct | float | SEL | 0% | 94 | 64.5874, 70.3986, 100.0, 73.4628, 83.2934 |
poblacion_rural |
poblacion_rural | integer | SEL | 7% | 93 | 208331, 147545, 100412, 116815, 175029 |
grado_ruralidad_pct |
grado_ruralidad_pct | float | SEL | 7% | 93 | 35.4126, 29.6014, 26.5372, 16.7066, 22.0915 |
pct_poblacion_0_14 |
pct_poblacion_0_14 | float | SEL | 0% | 99 | 17.2733, 17.5476, 15.1874, 16.3927, 15.9231 |
pct_poblacion_60_mas |
pct_poblacion_60_mas | float | SEL | 0% | 100 | 19.0737, 16.5639, 20.1981, 19.0876, 19.1322 |
indice_envejecimiento |
indice_envejecimiento | float | SEL | 0% | 100 | 1104.233502, 943.942651, 1329.925055, 1164.39615, 1201.532285 |
relacion_dependencia |
relacion_dependencia | float | SEL | 0% | 100 | 571.018084, 517.715445, 547.642037, 549.913776, 539.771814 |
tasa_crecimiento_medio_anual |
tasa_crecimiento_medio_anual | float | SEL | 0% | 96 | 1.803439, 6.668914, 5.708285, 4.094182, 6.393233 |
tasa_bruta_natalidad |
tasa_bruta_natalidad | float | SEL | 0% | 74 | 10.999275, 11.538249, 9.566541, 10.847199, 10.721864 |
tasa_bruta_mortalidad |
tasa_bruta_mortalidad | float | SEL | 0% | 81 | 7.877284, 7.906881, 9.929347, 8.744495, 8.614221 |
tasa_crecimiento_natural |
tasa_crecimiento_natural | float | SEL | 0% | 85 | 3.121991, 3.631368, -0.362807, 2.102704, 2.107643 |
tasa_mortalidad_infantil |
tasa_mortalidad_infantil | float | SEL | 0% | 79 | 3.866976, 5.408234, 3.36667, 5.859375, 4.817342 |
tasa_saldo_migratorio_interno |
tasa_saldo_migratorio_interno | float | SEL | 0% | 97 | -1.504, 3.03956, 5.238436, 2.023257, 4.123463 |
tasa_saldo_migratorio_externo |
tasa_saldo_migratorio_externo | float | SEL | 0% | 74 | 0.185448, 0.0, 0.833129, -0.029131, 0.160692 |
tasa_saldo_migratorio_total |
tasa_saldo_migratorio_total | float | SEL | 0% | 92 | -1.318552, 3.03956, 6.071566, 1.994126, 4.284155 |
tasa_global_fecundidad |
tasa_global_fecundidad | float | SEL | 0% | 100 | 1.73052, 1.683091, 1.465246, 1.658229, 1.629052 |
tasa_bruta_reproduccion |
tasa_bruta_reproduccion | float | SEL | 0% | 100 | 0.839965, 0.807484, 0.703243, 0.787011, 0.79676 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
region_name_raw |
Source region label (as published) | string | 0% | 16 | 21_Pinar del Río, 22_Artemisa, 23_La Habana, 24_... |
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Year | integer | 0% | 7 | 2013, 2013, 2013, 2013, 2013 |
province_code |
Province code | integer | 0% | 16 | 21, 22, 23, 24, 25 |
pct_poblacion_15_59 |
Population 15-59 percent | float | 0% | 100 | 63.653, 65.8885, 64.6144, 64.5197, 64.9447 |
poblacion_edad_prelaboral |
Population below working age (Cuban definition, 0-16) | integer | 0% | 100 | 117187, 101816, 373758, 71693, 130498 |
poblacion_edad_laboral |
Population of working age (Cuban definition, 17-59 F / 17-64 M) | integer | 0% | 100 | 361848, 316046, 1322079, 236315, 438461 |
poblacion_edad_poslaboral |
Population above working age (Cuban definition, 60+ F / 65+ M) | integer | 0% | 99 | 109261, 80577, 421506, 70374, 130256 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
pcode | integer | SEL | 0% | 100 | 2101, 2102, 2103, 2104, 2105 |
region_name |
region_name | string | SEL | 0% | 100 | Sandino, Mantua, Minas de Matahambre, Viñales, La Palma |
poblacion_total |
poblacion_total | integer | SEL | 0% | 100 | 36105, 23706, 31609, 29028, 33915 |
poblacion_masculina |
poblacion_masculina | integer | SEL | 0% | 100 | 18827, 12746, 16390, 14799, 17350 |
poblacion_femenina |
poblacion_femenina | integer | SEL | 0% | 100 | 17278, 10960, 15219, 14229, 16565 |
poblacion_urbana |
poblacion_urbana | integer | SEL | 0% | 100 | 22749, 13890, 20776, 17589, 16833 |
poblacion_rural |
poblacion_rural | integer | SEL | 15% | 85 | 13356, 9816, 10833, 11439, 17082 |
pct_poblacion_0_14 |
pct_poblacion_0_14 | float | SEL | 0% | 100 | 14.804044, 15.207121, 15.388022, 16.78724, 15.762937 |
pct_poblacion_60_mas |
pct_poblacion_60_mas | float | SEL | 0% | 100 | 20.761667, 21.205602, 21.857699, 20.590464, 21.229544 |
relacion_masculinidad |
relacion_masculinidad | float | SEL | 0% | 100 | 1089.65158, 1162.956204, 1076.943295, 1040.059034, 1047.389073 |
grado_urbanizacion_pct |
grado_urbanizacion_pct | float | SEL | 0% | 86 | 63.007894, 58.592761, 65.728115, 60.59322, 49.632906 |
tasa_crecimiento_medio_anual |
tasa_crecimiento_medio_anual | float | SEL | 0% | 100 | -8.049893, -6.037736, -6.006289, 3.110097, -4.374119 |
tasa_bruta_natalidad |
tasa_bruta_natalidad | float | SEL | 0% | 100 | 9.930624, 12.069981, 11.796433, 11.800021, 11.385869 |
tasa_bruta_mortalidad |
tasa_bruta_mortalidad | float | SEL | 0% | 100 | 10.040964, 8.453192, 10.061663, 8.936273, 8.29668 |
tasa_mortalidad_infantil |
tasa_mortalidad_infantil | float | SEL | 0% | 84 | 2.777778, 3.484321, 0.0, 8.77193, 5.167959 |
tasa_crecimiento_natural |
tasa_crecimiento_natural | float | SEL | 0% | 100 | -0.11034, 3.616789, 1.73477, 2.863748, 3.089189 |
tasa_saldo_migratorio_interno |
tasa_saldo_migratorio_interno | float | SEL | 0% | 100 | -8.082424, -9.420473, -7.380656, 0.414036, -7.061004 |
tasa_saldo_migratorio_externo |
tasa_saldo_migratorio_externo | float | SEL | 0% | 100 | 0.11034, -0.252334, -0.378495, -0.172515, -0.411892 |
tasa_saldo_migratorio_total |
tasa_saldo_migratorio_total | float | SEL | 0% | 100 | -7.972084, -9.672807, -7.759151, 0.241521, -7.472896 |
indice_envejecimiento |
indice_envejecimiento | float | SEL | 0% | 100 | 1402.43218, 1394.45215, 1420.435855, 1226.554484, 1346.801347 |
relacion_dependencia |
relacion_dependencia | float | SEL | 0% | 100 | 551.968707, 572.641635, 593.516838, 596.875344, 587.112172 |
tasa_global_fecundidad |
tasa_global_fecundidad | float | SEL | 0% | 100 | 1.575708, 1.990928, 1.976507, 1.844939, 1.816014 |
tasa_bruta_reproduccion |
tasa_bruta_reproduccion | float | SEL | 0% | 100 | 0.761592, 0.901814, 0.930121, 0.938653, 0.924431 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
region_name_raw |
Source region label (as published) | string | 0% | 100 | 2101 Sandino, 2102 Mantua, 2103 Minas de Matahambre,... |
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
province_code |
Province code | integer | 0% | 9 | 21, 21, 21, 21, 21 |
year |
Year | integer | 0% | 1 | 2019, 2019, 2019, 2019, 2019 |
pct_poblacion_15_59 |
Population 15-59 percent | float | 0% | 100 | 64.434289, 63.587277, 62.754279, 62.622296, 63.007519 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CU, CU, CU, CU, CU |
population_count |
Population count | float | SEL | 2% | 65 | 7238081.0, 7387117.0, 7541098.0, 7701660.0, 7866020.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 63.316, 63.743, 64.374, 64.347, 65.264 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 23% | 51 | 645.144917797076, 770.084969682323, 891.631749208781,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 97.8499984741211, 99.8000030517578, 99.6699981689453,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 55 | 44.1, 44.4, 44.5, 44.5, 44.3 |
poverty_headcount_pct |
Poverty headcount percent | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cuba, Cuba, Cuba, Cuba, Cuba |
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 | CU, CU, CU, CU, CU |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 63.316, 63.743, 64.374, 64.347, 65.264 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 15% | 44 | 22.7, 21.7, 20.6, 20.1, 20.1 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 55 | 44.1, 44.4, 44.5, 44.5, 44.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 22 | 70.0, 70.0, 69.0, 68.0, 66.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 4.129, 4.265, 4.421, 4.559, 4.528 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 32.789, 33.668, 34.62, 35.367, 34.861 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 8.913, 8.786, 8.573, 8.647, 8.251 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 42% | 38 | 0.946, 0.876, 0.822, 1.388, 1.886 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 56% | 26 | 4.36649942398071, 4.63240003585815, 5.4211997986, 6.0,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 17 | 67.0, 68.0, 99.0, 99.0, 86.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 6.58189821, 6.9820981, 7.11481619, 7.10295439, 6.83178711 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cuba, Cuba, Cuba, Cuba, Cuba |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CUB, CUB, CUB, CUB, CUB |
country_name |
country_name | string | 0% | 1 | Cuba, Cuba, Cuba, Cuba, Cuba |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 34555.0, 26187.0, 18545.0, 11693.0, 7373.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 4 | 0.3, 0.2, 0.2, 0.1, 0.1 |
net_migration |
net_migration | float | 0% | 65 | -25396.0, -33163.0, -39116.0, -41979.0, -44406.0 |
remittances_received_usd |
remittances_received_usd | string | 100% | - | - |
remittances_received_pct_gdp |
remittances_received_pct_gdp | string | 100% | - | - |
remittances_paid_usd |
remittances_paid_usd | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CUB, CUB, CUB, CUB |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | spa, rus, eng, aze |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Spanish, Russian, English, Azerbaijani |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 19093, 68, 12, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 99.5776, 0.3546, 0.0626, 0.0052 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CUB |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Cuba |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9843 |
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 | 57435 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 44786 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 57426 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 9 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Mon, 07 Sep 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-09-07 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 20641 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 18240 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 3369 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 2338 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 20530 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 15662 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 7149 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4613 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 5246 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3663 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 431 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 212 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 37 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 27 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 31 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 30 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 1 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CUB, CUB, CUB, CUB, CUB |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 100 | 11135090, -1616124, -1618017, -1618073, -1624158 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 94 | Artemisa, Camagüey, Ciego de Ávila, Cienfuegos, Granma |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 16 | CU-15, CU-09, CU-08, CU-06, CU-12 |
parent_code |
parent_code | string | 0% | 16 | CUB, CUB, CUB, CUB, CUB |
gns_prominence_band |
gns_prominence_band | integer | 0% | 2 | 7, 7, 7, 7, 7 |
latitude |
latitude | float | 0% | 100 | 22.833333, 21.35, 21.966667, 22.266667, 20.283333 |
longitude |
longitude | float | 0% | 100 | -82.833333, -77.85, -78.633333, -80.45, -76.866667 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 17QLF1186526238, 18QTJ0440963562, 17QQE4439731026,... |
name_variant_count |
name_variant_count | integer | 0% | 4 | 2, 2, 2, 2, 2 |
| 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 | CUB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Cuba |
admin_code |
Admin code | string | SEL | 0% | 1 | 1007861B11718738020629 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 110895.6894 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 10827448 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 97.64 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CUB, CUB, CUB, CUB, CUB |
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% | 16 | Havana, Holguín, Santiago de Cuba, Granma, Villa Clara |
admin_code |
Admin code | string | SEL | 0% | 16 | 62585838B98598405728349, 62585838B34474886411004,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 16 | 732.2612, 9301.5658, 6232.2694, 8372.7652, 8490.0243 |
pop_2024 |
Population count | integer | SEL | 0% | 16 | 2072181, 992636, 972849, 796603, 751566 |
pop_density_2024 |
Population density | float | SEL | 0% | 16 | 2829.84, 106.72, 156.1, 95.14, 88.52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CUB, CUB, CUB, CUB, CUB |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 27 | Havana, Santiago de Cuba, Camagüey, Holguín, Guantanamo |
admin_code |
Admin code | integer | SEL | 0% | 27 | 367, 2406, 1664, 2252, 2613 |
area_sqkm |
Area sqkm | float | SEL | 0% | 27 | 319.5075, 42.7806, 50.7501, 34.8272, 24.8722 |
pop_2024 |
Population count | integer | SEL | 0% | 27 | 1766308, 336419, 261231, 215984, 188174 |
pop_density_2024 |
Population density | float | SEL | 0% | 27 | 5528.22, 7863.82, 5147.4, 6201.59, 7565.64 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 27 | 1632772, 441985, 286045, 313757, 201036 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 26 | 1.082, 0.761, 0.913, 0.688, 0.936 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 27 | Havana, Santiago de Cuba, Holguín, Camagüey, Santa Clara |
country_code |
Country code | string | SEL | 0% | 1 | CUB, CUB, CUB, CUB, CUB |
population |
Population count | integer | SEL | 0% | 27 | 1632772, 441985, 313757, 286045, 222229 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 27 | 367, 2406, 2252, 1664, 1370 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Cuba, Cuba, Cuba, Cuba, Cuba |
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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | CU |
region_name |
Region name | string | SEL | 0% | 1 | Cuba |
F_TL |
Female population | integer | SEL | 0% | 1 | 5688837 |
M_TL |
Male population | integer | SEL | 0% | 1 | 5617366 |
T_TL |
Total population | integer | SEL | 0% | 1 | 11306203 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 305044 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 305335 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 302048 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 273299 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 323173 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 330092 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 371054 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 372112 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 307040 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 354864 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 482658 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 498350 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 423301 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 292326 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 261404 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 209014 |
F_80_84 |
Female population age 80-84 | integer | 0% | 1 | 146044 |
F_85_89 |
Female population age 85-89 | integer | 0% | 1 | 80778 |
F_90_94 |
Female population age 90-94 | integer | 0% | 1 | 35978 |
F_95_99 |
Female population age 95-99 | integer | 0% | 1 | 12128 |
F_100Plus |
Female population age 100+ | integer | 0% | 1 | 2795 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 312517 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 312717 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 317494 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 290206 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 343149 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 353319 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 397368 |
| +35 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% | 16 | CU01, CU02, CU03, CU04, CU05 |
region_name |
Region name | string | SEL | 0% | 16 | Artemisa, Camagüey, Ciego de Avila, Cienfuegos, Granma |
F_TL |
Female population | integer | SEL | 0% | 16 | 261460, 377936, 221642, 209092, 417551 |
M_TL |
Male population | integer | SEL | 0% | 16 | 268159, 374841, 225283, 212322, 422735 |
T_TL |
Total population | integer | SEL | 0% | 16 | 529619, 752777, 446925, 421414, 840286 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 16 | 14829, 19731, 12105, 11340, 24279 |
F_05_09 |
Female population age 5-9 | integer | 0% | 16 | 14641, 20182, 12240, 11188, 24544 |
F_10_14 |
Female population age 10-14 | integer | 0% | 16 | 14242, 20653, 12424, 10959, 24651 |
F_15_19 |
Female population age 15-19 | integer | 0% | 16 | 13036, 17684, 11049, 10392, 21455 |
F_20_24 |
Female population age 20-24 | integer | 0% | 16 | 15902, 21167, 13153, 11985, 24909 |
F_25_29 |
Female population age 25-29 | integer | 0% | 16 | 17419, 19922, 12878, 12810, 23113 |
F_30_34 |
Female population age 30-34 | integer | 0% | 16 | 18479, 23897, 15688, 13925, 26574 |
F_35_39 |
Female population age 35-39 | integer | 0% | 16 | 17419, 24708, 14991, 13918, 26390 |
F_40_44 |
Female population age 40-44 | integer | 0% | 16 | 14915, 20553, 12973, 11386, 23560 |
F_45_49 |
Female population age 45-49 | integer | 0% | 16 | 16927, 25016, 14946, 12265, 25889 |
F_50_54 |
Female population age 50-54 | integer | 0% | 16 | 21399, 32766, 18874, 17788, 36066 |
F_55_59 |
Female population age 55-59 | integer | 0% | 16 | 22181, 34076, 18282, 18652, 35766 |
F_60_64 |
Female population age 60-64 | integer | 0% | 16 | 18780, 28961, 15191, 15633, 28895 |
F_65_69 |
Female population age 65-69 | integer | 0% | 16 | 12573, 19507, 10630, 10047, 21018 |
F_70_74 |
Female population age 70-74 | integer | 0% | 16 | 10189, 17767, 9397, 9239, 17974 |
F_75_79 |
Female population age 75-79 | integer | 0% | 16 | 8285, 13399, 7269, 7583, 14236 |
F_80_84 |
Female population age 80-84 | integer | 0% | 16 | 5634, 9302, 4997, 5303, 9577 |
F_85_89 |
Female population age 85-89 | integer | 0% | 16 | 2915, 5203, 2774, 2931, 5153 |
F_90_94 |
Female population age 90-94 | integer | 0% | 16 | 1209, 2451, 1273, 1229, 2401 |
F_95_99 |
Female population age 95-99 | integer | 0% | 15 | 393, 808, 416, 422, 892 |
F_100Plus |
Female population age 100+ | integer | 0% | 16 | 93, 183, 92, 97, 209 |
M_00_04 |
Male population age 0-4 | integer | 0% | 16 | 15196, 20251, 12437, 11625, 24836 |
M_05_09 |
Male population age 5-9 | integer | 0% | 16 | 15045, 20744, 12597, 11499, 25072 |
M_10_14 |
Male population age 10-14 | integer | 0% | 16 | 14943, 21734, 12978, 11825, 25741 |
M_15_19 |
Male population age 15-19 | integer | 0% | 16 | 13779, 19057, 11551, 11016, 22741 |
M_20_24 |
Male population age 20-24 | integer | 0% | 16 | 17250, 22432, 13816, 12891, 26956 |
M_25_29 |
Male population age 25-29 | integer | 0% | 16 | 19294, 21398, 13802, 13540, 25216 |
M_30_34 |
Male population age 30-34 | integer | 0% | 16 | 21103, 25158, 17241, 14847, 28552 |
| +35 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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 | 15.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 73.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 71.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | 1.59 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.59 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 15 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 8.01 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 8.01 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 73 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | government owns and controls all broadcast media: 8... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 8.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .cu |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 71% (2023 est.) |
internet_users_note |
internet_users_note | string | 0% | 1 | note: private citizens are prohibited from buying... |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 327,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 327000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cu.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 | 23700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 259.781 |
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | still largely state-run planned economy, although... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $81.165 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 | 81.165 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $81.985 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 | 81.985 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $83.597 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 | 83.597 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2015 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -1.9% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -1.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2021_text |
Real gdp growth rate 2021 (text) | string | 0% | 1 | 1.3% (2021 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric |
Real gdp growth rate 2021 (numeric) | float | 0% | 1 | 1.3 |
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 | $23,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $18,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 18300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $13,300 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 13300.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2015 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $259.781 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 76.1% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 76.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 151.9% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 151.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | 11.9% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | 11.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 1.3% (2023 est.) |
| +82 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 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | 7.264 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 7.264 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 11.951 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 11.951 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.352 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.352 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 95.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 95.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 1.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 1.4 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.8% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.8 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 2.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 2.2 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 25 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 25.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 8,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 8000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 34,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 34000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 118,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 118000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 124 million barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 124.0 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 850.133 million cubic meters (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 | 61.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 34.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 77.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.19 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.693 |
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | soil degradation and desertification (brought on by poor... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic Treaty, Biodiversity, Climate Change, Climate... |
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; moderated by trade winds; dry season (November... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 61.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 28% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 28.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 6.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 6.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 27.4% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 27.4 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 34.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 3.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 3.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 77.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.19% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 19.716 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 19.716 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 16,000 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 | 16000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 18.12 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 | 18.12 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 1.58 million 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 | 1.58 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 13.3 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 13.3 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 23 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 23.0 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 249.7 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 249.7 |
| +17 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 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | Cuban(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Cuban |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | White 64.1%, Mulatto or mixed 26.6%, Black 9.3% (2012 est.) |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 64.1 |
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/cu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 110860.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 109820.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 1040.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 28.5 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 3735.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1974.0 |
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 | 61.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 34.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 8700.0 |
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Caribbean, island between the Caribbean Sea and the... |
location_numeric |
location_numeric | float | 0% | 1 | 150.0 |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 21 30 N, 80 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 21.0 |
map_references_text |
map_references_text | string | 0% | 1 | Central America and the Caribbean |
area_total_text |
area_total_text | string | 0% | 1 | 110,860 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 109,820 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 1,040 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Pennsylvania |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 28.5 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | US Naval Base at Guantanamo Bay 28.5 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 28.5 |
land_boundaries_note |
land_boundaries_note | string | 0% | 1 | note: Guantanamo Naval Base is leased by the US and... |
coastline_text |
coastline_text | string | 0% | 1 | 3,735 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; moderated by trade winds; dry season (November... |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to rolling plains, with rugged hills and... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Pico Turquino 1,974 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Caribbean Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 108 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 108.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | cobalt, nickel, iron ore, chromium, copper, salt,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 61.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 28% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 28.0 |
| +13 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 | CUB |
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 Cuba |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Cuba |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República de Cuba |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Cuba |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the origin of the name is disputed; it could be derived... |
government_type_text |
government_type_text | string | 0% | 1 | communist state |
capital_name_text |
capital_name_text | string | 0% | 1 | Havana |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 23 07 N, 82 21 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 23.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-5 (same time as Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -5.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | +1hr, begins second Sunday in March; ends first Sunday... |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | Spanish soldier Diego VELAZQUEZ named the city San... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 15 provinces (provincias, singular - provincia) and 1... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 15.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on Spanish civil code |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest drafted 14 July 2018, approved... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 14.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly of People’s Power;... |
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 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | unknown |
suffrage_text |
suffrage_text | string | 0% | 1 | 16 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 16.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Miguel DIAZ-CANEL Bermudez (since 19 April 2018) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 19.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Manuel MARRERO Cruz (since 21 December 2019) |
| +69 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 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The native Amerindian population of Cuba began to... |
background_numeric |
background_numeric | float | 0% | 1 | 1492.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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) |
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/cu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | 171 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 171.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 37,171 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 37171.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Cuba does not fully meet the minimum standards... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | Revolutionary Armed Forces (Fuerzas Armadas... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 4.2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 4.2 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 3.2% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 3.2 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 2.9% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 2.9 |
military_expenditures_military_expenditures_2017_text |
Military expenditures 2017 (text) | string | 0% | 1 | 2.9% of GDP (2017 est.) |
military_expenditures_military_expenditures_2017_numeric |
Military expenditures 2017 (numeric) | float | 0% | 1 | 2.9 |
military_expenditures_military_expenditures_2016_text |
Military expenditures 2016 (text) | string | 0% | 1 | 3.1% of GDP (2016 est.) |
military_expenditures_military_expenditures_2016_numeric |
Military expenditures 2016 (numeric) | float | 0% | 1 | 3.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | limited available information; estimated 50,000 active... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 50000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory is comprised of Russian and... |
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 | military service is mandatory for all men and voluntary... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 17.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Cuban military is largely focused on protecting... |
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/cu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 10059519.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 4950615.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 5108904.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 16.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 66.5 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 17.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 50.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 22.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 27.6 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 46.2 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.6 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 7.78 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 11.42 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.39 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 77.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.19 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.99 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 35.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 5.2 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 80.1 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.49 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.72 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 9.54 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 4.2 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 97.7 |
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | 10,059,519 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 4,950,615 |
population_female_text |
population_female_text | string | 0% | 1 | 5,108,904 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 16.3% (male 918,066/female 866,578) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 66.5% (male 3,670,531/female 3,623,658) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 17.2% (2024 est.) (male 852,910/female 1,034,295) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 50.2 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 22.6 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 27.6 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 3.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 3.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 46.2 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 41 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 41.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 44.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 44.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.6% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 7.78 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 11.42 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.39 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | large population clusters found throughout the country,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 77.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.19% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.149 million HAVANA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.149 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.01 |
| +93 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 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 58.9 |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 0.5 |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 0.5 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 0.5 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.5 |
composition_ethnicity_primary_label_synth |
White | string | CCL | 0% | - | White |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 58.9%, folk religion 17.6%, Buddhist <1%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 58.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/cu.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_folk_religion_pct_synth |
folk religion | numeric | 0% | - | 17.6 |
composition_religion_jewish_pct_synth |
Jewish | numeric | 0% | - | 0.5 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 23.2 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 64.1 |
composition_ethnicity_mulatto_or_mixed_pct_synth |
Mulatto or mixed | numeric | 0% | - | 26.6 |
composition_ethnicity_black_pct_synth |
Black | numeric | 0% | - | 9.3 |
composition_ethnicity_primary_share_pct_synth |
White | numeric | 0% | - | 64.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 120.0 |
country_code |
Country code | string | SEL | 0% | 1 | CUB |
country_name |
Country name | string | SEL | 0% | 1 | Cuba |
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 | CU |
airports_text |
airports_text | string | 0% | 1 | 120 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 4 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 4.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 8,367 km (2017) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 8367.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 8,195 km (2017) 1.435-m gauge (124 km electrified) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 8195.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 172 km (2017) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 172.0 |
railways_note |
railways_note | string | 0% | 1 | note: As of 2013, 70 km of standard gauge and 12 km of... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 65 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 65.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 13, oil tanker 10, other 42 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 13.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 34 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 34.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 6 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 6.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 3 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 3.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 10 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 10.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 6 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 6.0 |
ports_size_unknown_text |
ports_size_unknown_text | float | 0% | 1 | 9 |
ports_size_unknown_numeric |
ports_size_unknown_numeric | float | 0% | 1 | 9.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 14 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 14.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Antilla, Bahai de la Habana, Bahia de Sagua de Tanamo,... |
| +2 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 4 | cuba1235, lucu1238, stan1288, stan1293 |
name |
Name | string | CCL | 0% | 4 | Cuba Sign Language, Lucumi, Spanish, English |
iso639_3 |
Iso639 3 | string | CCL | 0% | 4 | csf, luq, spa, eng |
level |
Level | string | CCL | 0% | 1 | language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 3 | sign1238, atla1278, indo1319, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 4 | deaf1237, lucu1239, cast1243, macr1271 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 3 | 0, 0, 38, 114 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 4 | 22.061, 22.9514, 40.4414, 53.0 |
longitude |
longitude | float | 0% | 4 | -79.209, -82.441, -1.11788, -1.0 |
country_codes |
Country codes | string | 0% | 3 | ['CU'], ['CU'], ['AD', 'AR', 'BO', 'BR', 'BZ', 'CL',... |
classification |
classification | string | 0% | 1 | [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CUB |
society_id |
Society id | string | CCL | 0% | 1 | Sb8 |
society_name |
Society name | string | CCL | 0% | 1 | Taíno |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | tain1254 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA017:1; EA018:1; EA019:NA; EA020:NA; EA021:NA;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:8; EA008:7; EA009:2; EA023:NA; EA025:NA |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:1; EA002:1; EA003:2; EA004:0; EA005:6; EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:2; EA033:3 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:2; EA112:1 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:10; EA011:1; EA012:10; EA013:9; EA014:11 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:7; EA031:NA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cuba |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 19.94 |
longitude |
longitude | float | 0% | 1 | -75.37 |
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 | CUB |
society_id |
society_id | string | CCL | 0% | 1 | Sb8 |
society_name |
society_name | string | CCL | 0% | 1 | Taíno |
language_glottocode |
language_glottocode | string | CCL | 0% | 1 | tain1254 |
language_name |
language_name | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cuba |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 19.94 |
longitude |
longitude | float | 0% | 1 | -75.37 |
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 | 3 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 2 |
trance_states |
trance_states | integer | 0% | 1 | 1 |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | string | 100% | - | - |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 10 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 10 |
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 | string | 100% | - | - |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | string | 100% | - | - |
cognatic_kin_groups |
cognatic_kin_groups | string | 100% | - | - |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | string | 100% | - | - |
kin_terms_for_cousins |
kin_terms_for_cousins | string | 100% | - | - |
descent_major_type |
descent_major_type | string | 100% | - | - |
| +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 | CUB |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 26285.7142857143 |
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 | 0.235690701913426 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 106440.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.075 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 3.9 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 1.6 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 0.5 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 1.4 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 0.0 |
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 | 0.0 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 2.4 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 6.5 |
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 | 0.1 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 3.0 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 1.8 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 1.0 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 3.7 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.6 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 5.7 |
inform_cc_ins_gov |
Governance | float | 0% | 1 | 5.7 |
inform_cc_ins_gov_cpi |
Corruption Perception Index [CC.INS.GOV.CPI] | float | 0% | 1 | 5.9 |
inform_cc_ins_gov_ge |
Government Effectiveness [CC.INS.GOV.GE] | float | 0% | 1 | 5.5 |
inform_cm |
U5M | float | 0% | 1 | 8.60000038146973 |
inform_con_gpi |
Current Confilct Intensity GPI - raw | float | 0% | 1 | 1.705 |
| +221 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) | 19,093 | 99.6% | — |
| Russian (rus) | 68 | 0.4% | — |
| English (eng) | 12 | 0.1% | — |
| + 1 further language (1 names, each under 0.05%) | |||
44,786 distinct features ·
4 languages ·
1 script ·
9 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Mon, 07 Sep 2026.
* Shares are of the
19,174 names that carry a language
code; the remaining 38,261 of
57,435 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 |
|---|---|---|
| ONEI — El color de la piel según el Censo 2012 (Cuba) | official_nso | |
| ONEI — Censo de Población y Viviendas 2012 (Cuba) | official_nso | |
| ONEI — Indicadores Demográficos de Cuba y sus Territorios (Cuba) | official_nso | bulk_download |
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| INFORM Risk Index (EC-JRC) | international_organization | api |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| Glottolog Language Catalog | academic | 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.