Cuba

CUB ONEI — Censo de Población y Viviendas 2012 (Cuba) CUB-ONEI_CENSO2012 Census

184 rows · 3 table(s) · 2012 ONEI — Censo de Población y Viviendas 2012 (Cuba) 0 1 2 3 26 SEL 9 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB Onei Censo2012 - Cuba 2012 Census (admin_0) — 1 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

1 Admin 1 — 1 table(s)

CUB Onei Censo2012 - Cuba 2012 Census (admin_1) — 16 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

2 Admin 2 — 1 table(s)

CUB Onei Censo2012 - Cuba 2012 Census (admin_2) — 167 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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

CUB ONEI — Indicadores Demográficos de Cuba y sus Territorios (Cuba) CUB-ONEI_TABLERO Census

1,039 rows · 3 table(s) · 2024 ONEI — Indicadores Demográficos de Cuba y sus Territorios (Cuba) 0 1 2 3 71 SEL 20 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB Onei Tablero - Tablero Demografico (admin_0) — 12 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (24)

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

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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

1 Admin 1 — 1 table(s)

CUB Onei Tablero - Tablero Demografico (admin_1) — 192 rows, 32 columns

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Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (24)

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

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

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

2 Admin 2 — 1 table(s)

CUB Onei Tablero - Tablero Demografico (admin_2) — 835 rows, 28 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (23)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

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

CUB Global Data Lab CUB-GDL Development Indices

544 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

CUB GDL - Subnational Indices — 544 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB, CUB, CUB, CUB, CUB
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	16	Total, C. Habana, Camaguey, Ciego de Avila, Cienfuegos
`human_development_index`	Human development index	float	SEL	0%	53	0.706, 0.74, 0.699, 0.706, 0.71
`health_index`	Health index	float	SEL	0%	6	0.828, 0.828, 0.828, 0.828, 0.828
`education_index`	Education index	float	SEL	0%	70	0.7, 0.739, 0.719, 0.702, 0.702
`income_index`	Income index	float	SEL	0%	70	0.608, 0.662, 0.573, 0.606, 0.617
`life_expectancy`	Life expectancy	float	SEL	0%	7	73.82, 73.82, 73.82, 73.82, 73.82
`mean_years_schooling`	Mean years schooling	float	SEL	0%	87	10.5, 11.34, 10.84, 10.17, 9.941

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	7	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

CUB World Bank Open Data CUB-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

CUB World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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%	-	-

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Cuba, Cuba, Cuba, Cuba, Cuba
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

CUB World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Cuba, Cuba, Cuba, Cuba, Cuba
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

CUB UNHCR Refugee Data Finder CUB-UNHCR Migration

101 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

CUB UNHCR - Hosted Populations — 49 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

CUB UNHCR - Origin Populations — 52 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

CUB LandScan Global (ORNL) CUB-LANDSCAN Modeled Population

44 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

1 Admin 1 — 1 table(s)

CUB LandScan - Population Admin1 (admin_1) — 16 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Locality Locality — 1 table(s)

CUB LandScan - Cities (locality) — 27 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	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

CUB GHS Urban Centre Database (EU JRC) CUB-GHSL_UCDB Modeled Population

27 rows · 1 table(s) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

CUB GHS-UCDB - Cities (locality) — 27 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	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

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

CUB HDX COD — Population Statistics (OCHA/UNFPA) CUB-COD_PS Census Derived Population

17 rows · 2 table(s) · 2024 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

CUB Cod Ps - Cub Codps (admin_0) — 1 rows, 70 columns

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Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (65) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2024
`F_00_04`	Female population age 0-4	integer	0%	1	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.

1 Admin 1 — 1 table(s)

CUB Cod Ps - Cub Codps (admin_1) — 16 rows, 70 columns

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Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (65) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	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.

CUB ONEI — El color de la piel según el Censo 2012 (Cuba) CUB-ONEI_COLORPIEL Census

17 rows · 2 table(s) · 2012 ONEI — El color de la piel según el Censo 2012 (Cuba) 0 1 2 3 5 SEL 6 CCL 16 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB Onei Colorpiel - Color De La Piel 2012 (admin_0) — 1 rows, 19 columns

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Field details — 19 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

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

1 Admin 1 — 1 table(s)

CUB Onei Colorpiel - Color De La Piel 2012 (admin_1) — 16 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

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

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_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

CUB OpenFactBook CUB-OPENFACTBOOK Country Profile

14 rows · 14 table(s) · 2024 OpenFactBook 0 1 2 3 92 SEL 6 CCL 557 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 14 table(s)

CUB OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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_country_code_text`	Internet country code text	string	SEL+	0%	1	.cu
`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

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	1.59 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_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

CUB OpenFactBook - Economy — 1 rows, 112 columns

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Field details — 117 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Extension Fields (112) — supplemental data preserved outside core SEL/CCL schema

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.

CUB OpenFactBook - Energy — 1 rows, 43 columns

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Field details — 43 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	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

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	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.

CUB OpenFactBook - Environment — 1 rows, 51 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	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

Extension Fields (47) — supplemental data preserved outside core SEL/CCL schema

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.

CUB OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB
`country_name`	Country name	string	SEL	0%	1	Cuba
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	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

CUB OpenFactBook - Geography — 1 rows, 54 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	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

Extension Fields (43) — supplemental data preserved outside core SEL/CCL schema

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.

CUB OpenFactBook - Government — 1 rows, 77 columns

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Field details — 101 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (99) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of 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.

CUB OpenFactBook - Introduction — 1 rows, 6 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB
`country_name`	Country name	string	SEL	0%	1	Cuba
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	The 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

CUB OpenFactBook - Languages — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB
`country_name`	Country name	string	SEL	0%	1	Cuba
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`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

CUB OpenFactBook - Migration — 1 rows, 10 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB
`country_name`	Country name	string	SEL	0%	1	Cuba
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	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

CUB OpenFactBook - Military And Security — 1 rows, 20 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB
`country_name`	Country name	string	SEL	0%	1	Cuba
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	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

CUB OpenFactBook - People And Society — 1 rows, 139 columns

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Field details — 152 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	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

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	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.

CUB OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	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

Pending (7) — awaiting mapping

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

CUB OpenFactBook - Transportation — 1 rows, 33 columns

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Field details — 36 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	CU
`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

Extension Fields (31) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`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,...
`source_section`	source_section	string	0%	1	Transportation
+1 more extension field — download the CSV/Parquet to see them all.

CUB NGA GEOnet Names Server (GNS) CUB-NGA_GNS Language

5 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

CUB Nga Gns - Language — 4 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	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	19095, 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

CUB Nga Gns - Summary — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	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

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	57423
`gns_feature_count`	gns_feature_count	integer	0%	1	44786
`gns_endonym_count`	gns_endonym_count	integer	0%	1	57414
`gns_exonym_count`	gns_exonym_count	integer	0%	1	9
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	20640
`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	20527
`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	7141
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	4613
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	5247
`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	430
`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

CUB Glottolog Language Catalog CUB-GLOTTOLOG Language

4 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB Glottolog - Languages — 4 rows, 16 columns

Loading data…

Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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%	-	-
`country_codes`	Country codes	string	SEL+	0%	3	['CU'], ['CU'], ['AD', 'AR', 'BO', 'BR', 'BZ', 'CL',...
`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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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
`classification`	classification	string	0%	1	[], [], [], []

CUB Ethnic Power Relations Dataset CUB-EPR Political Ethnicity

2 rows · 1 table(s) · 2021 Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB EPR - Groups — 2 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	CUB, CUB
`ethnic_group_name`	Ethnic group name	string	CCL	0%	2	Whites, Afro-Cubans
`ethnic_power_status`	Ethnic power status	string	CCL	0%	1	IRRELEVANT, IRRELEVANT
`ethnic_population_share`	Ethnic population share	float	CCL	0%	2	0.641, 0.359
`ethnic_group_id`	Ethnic group id	float	CCL	0%	2	4001000, 4002000
`regional_autonomy`	Regional autonomy	string	CCL	0%	1	,

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021
`group_relevance`	group_relevance	string	0%	1	,

CUB D-PLACE CUB-DPLACE Ethnographic Societies

1 rows · 1 table(s) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

CUB D-PLACE - Dplace Ea Societies — 1 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

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	EA001:1; EA002:1; EA003:2; EA004:0; EA005:6
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:1; EA007:8; EA008:7; EA009:2; EA010:10
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA028:6; EA029:5; EA030:7; EA031:NA; EA032:2
`political_complexity`	Political complexity	string	CCL	0%	1	EA033:3; EA034:2; EA035:2
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:2; EA112:1
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:1; EA012:10; EA013:9

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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

CUB Global Organized Crime Index CUB-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

CUB Organized Crime Scores 2025 — 1 rows, 35 columns

Loading data…

Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	CUB
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	47
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	float	0%	1	5.5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	float	0%	1	5.5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	183
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	1.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	float	0%	1	1.5
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	100
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	integer	0%	1	5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	111
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	4
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	4
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	172
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	3.1
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	2.88
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	166
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	3.63
`oc_criminal_markets_2021`	oc_criminal_markets_2021	integer	0%	1	4
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	175
`oc_criminal_networks_2023`	oc_criminal_networks_2023	float	0%	1	2.5
`oc_criminal_networks_2021`	oc_criminal_networks_2021	float	0%	1	2.5
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	168
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	3.37
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	3.44
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	134
+74 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Spanish (spa)	19,095	99.6%	—
Russian (rus)	68	0.4%	—
English (eng)	12	0.1%	—

Source	Type	Access
ONEI — Indicadores Demográficos de Cuba y sus Territorios (Cuba)	official_nso	bulk_download
ONEI — El color de la piel según el Censo 2012 (Cuba)	official_nso	pdf
ONEI — Censo de Población y Viviendas 2012 (Cuba)	official_nso	pdf
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
Global Data Lab	academic	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download