Venezuela

VEN Global Data Lab VEN-GDL Development Indices

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

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1 Admin 1 — 1 table(s)

VEN GDL - Subnational Indices — 850 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	VEN, VEN, VEN, VEN, VEN
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	25	Total, Amacuros Delta Federal Territory, Amazonas...
`human_development_index`	Human development index	float	SEL	0%	61	0.706, 0.691, 0.687, 0.717, 0.637
`health_index`	Health index	float	SEL	0%	44	0.784, 0.791, 0.722, 0.805, 0.791
`education_index`	Education index	float	SEL	0%	79	0.571, 0.559, 0.59, 0.583, 0.474
`income_index`	Income index	float	SEL	0%	70	0.785, 0.747, 0.76, 0.787, 0.688
`life_expectancy`	Life expectancy	float	SEL	0%	73	70.96, 71.39, 66.96, 72.29, 71.45
`mean_years_schooling`	Mean years schooling	float	SEL	0%	94	8.565, 8.344, 8.856, 8.949, 6.647

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	4	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

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

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

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)

VEN Cod Ps - Ven Codps (admin_1) — 24 rows, 50 columns

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Field details — 50 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	24	VE01, VE02, VE03, VE04, VE05
`region_name`	Region name	string	SEL	0%	24	Distrito Federal, Amazonas, Anzoátegui, Apure, Aragua
`T_TL`	Total population	integer	SEL	0%	24	1943901, 146480, 1469747, 459025, 1630308
`F_TL`	Female population	integer	SEL	0%	24	1008444, 71514, 731395, 226096, 827376
`M_TL`	Male population	integer	SEL	0%	24	935457, 74966, 738352, 232929, 802932

Pending (45) — 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	string	100%	-	-
`ADM0_ES`	ADM0_ES	string	0%	1	Venezuela (República Bolivariana de), Venezuela...
`T_00_04`	Total population age 0-4	integer	0%	24	146125, 19802, 134236, 48684, 136518
`T_05_09`	Total population age 5-9	integer	0%	24	134852, 17235, 134722, 50552, 132554
`T_10_14`	Total population age 10-14	integer	0%	24	141155, 17357, 140215, 52415, 138130
`T_15_19`	Total population age 15-19	integer	0%	24	158247, 16084, 141287, 52419, 152315
`T_20_24`	Total population age 20-24	integer	0%	24	179042, 14407, 138618, 45124, 152506
`T_25_29`	Total population age 25-29	integer	0%	24	171095, 12636, 130053, 37688, 139977
`T_30_34`	Total population age 30-34	integer	0%	24	169999, 10397, 126308, 33280, 134092
`T_35_39`	Total population age 35-39	integer	0%	24	143110, 9176, 108694, 29212, 117954
`T_40_44`	Total population age 40-44	integer	0%	24	136054, 7793, 94596, 26169, 110473
`T_45_49`	Total population age 45-49	integer	0%	24	120634, 6189, 79917, 21775, 98866
`T_50_54`	Total population age 50-54	integer	0%	24	108338, 4676, 68078, 17619, 86417
`T_55_59`	Total population age 55-59	integer	0%	24	96039, 3623, 55897, 13953, 73088
`T_60_64`	Total population age 60-64	integer	0%	24	79626, 2642, 42025, 10051, 56560
`T_65PLUS`	T_65PLUS	integer	0%	24	159585, 4463, 75101, 20084, 100858
`F_00_04`	Female population age 0-4	integer	0%	24	71035, 9637, 64995, 23812, 66484
`F_05_09`	Female population age 5-9	integer	0%	24	65504, 8402, 65320, 24580, 64250
`F_10_14`	Female population age 10-14	integer	0%	24	68605, 8346, 67682, 25358, 67021
`F_15_19`	Female population age 15-19	integer	0%	24	79033, 8133, 70008, 26131, 75584
`F_20_24`	Female population age 20-24	integer	0%	24	91097, 7027, 69563, 22679, 76715
`F_25_29`	Female population age 25-29	integer	0%	24	88180, 6229, 65919, 18957, 70997
`F_30_34`	Female population age 30-34	integer	0%	24	87077, 5093, 63030, 16444, 67755
`F_35_39`	Female population age 35-39	integer	0%	24	74024, 4576, 53751, 14667, 60213
`F_40_44`	Female population age 40-44	integer	0%	24	69636, 3675, 46386, 12940, 56264
`F_45_49`	Female population age 45-49	integer	0%	24	63389, 2941, 39819, 10641, 51249
`F_50_54`	Female population age 50-54	integer	0%	24	57919, 2230, 33721, 8570, 45540
`F_55_59`	Female population age 55-59	integer	0%	24	53445, 1702, 28393, 6728, 39162
`F_60_64`	Female population age 60-64	integer	0%	24	44382, 1265, 21484, 4782, 29923
+15 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

VEN Cod Ps - Ven Codps (admin_2) — 335 rows, 52 columns

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Field details — 52 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	VE0101, VE0201, VE0202, VE0203, VE0204
`region_name`	Region name	string	SEL	0%	94	Libertador, Autónomo Alto Orinoco, Autónomo Atabapo,...
`T_TL`	Total population	integer	SEL	0%	100	1943901, 12687, 9169, 104228, 8352
`F_TL`	Female population	integer	SEL	0%	100	1008444, 6192, 4329, 51175, 4008
`M_TL`	Male population	integer	SEL	0%	100	935457, 6495, 4840, 53053, 4344

Pending (47) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	string	100%	-	-
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	VE, VE, VE, VE, VE
`ADM1_REF`	ADM1_REF	string	0%	9	Distrito Federal, Amazonas, Amazonas, Amazonas, Amazonas
`ADM2_REF`	ADM2_REF	string	0%	93	Libertador, Autonomo Alto Orinoco, Autonomo Atabapo,...
`T_00_04`	Total population age 0-4	integer	0%	100	146125, 2250, 1307, 13048, 1342
`T_05_09`	Total population age 5-9	integer	0%	99	134852, 1861, 1207, 11297, 1168
`T_10_14`	Total population age 10-14	integer	0%	99	141155, 1618, 1219, 11780, 1157
`T_15_19`	Total population age 15-19	integer	0%	100	158247, 1269, 1005, 11524, 977
`T_20_24`	Total population age 20-24	integer	0%	100	179042, 1011, 758, 10909, 685
`T_25_29`	Total population age 25-29	integer	0%	99	171095, 1191, 751, 9148, 619
`T_30_34`	Total population age 30-34	integer	0%	99	169999, 744, 613, 7769, 493
`T_35_39`	Total population age 35-39	integer	0%	100	143110, 913, 539, 6636, 403
`T_40_44`	Total population age 40-44	integer	0%	98	136054, 536, 462, 5829, 369
`T_45_49`	Total population age 45-49	integer	0%	96	120634, 453, 366, 4650, 307
`T_50_54`	Total population age 50-54	integer	0%	100	108338, 332, 281, 3547, 184
`T_55_59`	Total population age 55-59	integer	0%	97	96039, 190, 211, 2773, 173
`T_60_64`	Total population age 60-64	integer	0%	97	79626, 122, 173, 1981, 170
`T_65PLUS`	T_65PLUS	integer	0%	99	159585, 197, 277, 3337, 305
`F_00_04`	Female population age 0-4	integer	0%	98	71035, 1129, 646, 6327, 656
`F_05_09`	Female population age 5-9	integer	0%	100	65504, 911, 588, 5483, 575
`F_10_14`	Female population age 10-14	integer	0%	99	68605, 744, 568, 5749, 534
`F_15_19`	Female population age 15-19	integer	0%	100	79033, 649, 475, 5842, 487
`F_20_24`	Female population age 20-24	integer	0%	100	91097, 539, 360, 5294, 320
`F_25_29`	Female population age 25-29	integer	0%	100	88180, 653, 349, 4482, 309
`F_30_34`	Female population age 30-34	integer	0%	99	87077, 359, 304, 3809, 234
`F_35_39`	Female population age 35-39	integer	0%	98	74024, 449, 262, 3341, 200
`F_40_44`	Female population age 40-44	integer	0%	99	69636, 221, 198, 2838, 155
`F_45_49`	Female population age 45-49	integer	0%	99	63389, 197, 152, 2284, 133
`F_50_54`	Female population age 50-54	integer	0%	98	57919, 112, 124, 1748, 89
+17 more pending fields — download the CSV/Parquet to see them all.

VEN UNHCR Refugee Data Finder VEN-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

VEN UNHCR - Hosted Populations — 75 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%	-	-

VEN UNHCR - Origin Populations — 75 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%	-	-

VEN World Bank Open Data VEN-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

VEN 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	VE, VE, VE, VE, VE
`population_count`	Population count	float	SEL	2%	65	8160090.0, 8455915.0, 8756870.0, 9064021.0, 9377712.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	58.376, 59.115, 59.667, 60.502, 61.168
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	939.197766577539, 954.038330638213, 1006.55940812318,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	79%	14	84.7300033569336, 89.8300018310547, 92.9800033569336,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	55	79.7, 77.2, 74.9, 73.0, 71.4
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	71%	18	55.6, 49.0, 42.8, 41.6, 31.1

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	Venezuela, RB, Venezuela, RB, Venezuela, RB, Venezuela,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

VEN 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	VE, VE, VE, VE, VE
`life_expectancy`	Life expectancy	float	SEL	3%	64	58.376, 59.115, 59.667, 60.502, 61.168
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	20	12.5, 12.8, 13.6, 14.4, 14.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	55	79.7, 77.2, 74.9, 73.0, 71.4
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	30	83.0, 81.0, 81.0, 80.0, 80.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.382, 6.298, 6.231, 6.155, 6.071
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	44.973, 44.142, 43.441, 42.72, 41.988
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	10.034, 9.597, 9.257, 8.819, 8.462
`physicians_per_1000`	Physicians per 1000	float	SEL	71%	17	0.666, 0.815, 0.883, 0.904, 0.904
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	64%	24	0.342999994754791, 0.331499993801117, 0.342900007963181,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	28	56.0, 54.0, 53.0, 58.0, 33.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	91%	6	2.41691327, 2.18563724, 4.11615133, 4.1022191, 4.55045986

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	Venezuela, RB, Venezuela, RB, Venezuela, RB, Venezuela,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

VEN LandScan Global (ORNL) VEN-LANDSCAN Modeled Population

96 rows · 3 table(s) 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)

VEN 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	VEN
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Bolivarian Republic of Venezuela
`admin_code`	Admin code	string	SEL	0%	1	16608129B53154802768010
`area_sqkm`	Area sqkm	float	SEL	0%	1	912684.4936
`pop_2024`	Population count	integer	SEL	0%	1	30875475
`pop_density_2024`	Population density	float	SEL	0%	1	33.83

1 Admin 1 — 1 table(s)

VEN LandScan - Population Admin1 (admin_1) — 25 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	VEN, VEN, VEN, VEN, VEN
`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%	25	Zulia, Miranda, Carabobo, Lara, Distrito Capital
`admin_code`	Admin code	string	SEL	0%	25	42786344B42509353156725, 42786344B65180575927800,...
`area_sqkm`	Area sqkm	float	SEL	0%	25	44710.9022, 8896.292, 4848.3185, 19464.3485, 376.2088
`pop_2024`	Population count	integer	SEL	0%	25	4124355, 3136069, 2431365, 1967801, 1954717
`pop_density_2024`	Population density	float	SEL	0%	25	92.24, 352.51, 501.49, 101.1, 5195.83

Locality Locality — 1 table(s)

VEN LandScan - Cities (locality) — 70 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	VEN, VEN, VEN, VEN, VEN
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	70	Caracas, Maracaibo, Valencia, Maracay, Barquisimeto
`admin_code`	Admin code	integer	SEL	0%	70	3837, 1268, 3109, 3387, 2614
`area_sqkm`	Area sqkm	float	SEL	0%	70	309.0538, 293.1568, 327.9312, 155.0226, 138.1243
`pop_2024`	Population count	integer	SEL	0%	70	2990177, 2120436, 1543195, 914080, 769995
`pop_density_2024`	Population density	float	SEL	0%	70	9675.26, 7233.11, 4705.85, 5896.43, 5574.65

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%	70	2667322, 2142105, 1601249, 866300, 853706
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	65	1.121, 0.99, 0.964, 1.055, 0.902

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

70 rows · 1 table(s) 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)

VEN GHS-UCDB - Cities (locality) — 70 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%	70	Caracas, Maracaibo, Valencia, Maracay, Barquisimeto
`country_code`	Country code	string	SEL	0%	1	VEN, VEN, VEN, VEN, VEN
`population`	Population count	integer	SEL	0%	70	2667322, 2142105, 1601249, 866300, 853706

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	70	3837, 1268, 3109, 3387, 2614
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Venezuela, Venezuela, Venezuela, Venezuela, Venezuela
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

VEN Glottolog Language Catalog VEN-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

VEN Glottolog - Languages — 63 rows, 16 columns

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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%	63	akaw1239, anau1243, araw1276, arut1244, bani1255
`name`	Name	string	CCL	0%	63	Akawaio-Ingariko, Anauyá, Lokono, Arutani, Baniwa do Icana
`iso639_3`	Iso639 3	string	CCL	21%	50	ake, arw, atx, bwi, bae
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	16%	14	cari1283, araw1281, araw1281, araw1281, araw1281
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	16%	40	kapo1251, mara1421, iner1234, bani1259, bare1282
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	12	['BR', 'GY', 'VE'], ['VE'], ['GF', 'GY', 'SR', 'VE'],...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	10	2, 0, 3, 2, 6

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	2%	62	6.16277, 1.480584, 5.64295, 4.0673594, 2.17859
`longitude`	longitude	float	2%	62	-60.862, -65.413237, -56.9243, -62.8676118, -67.7704
`classification`	classification	string	0%	1	[], [], [], [], []

VEN OpenFactBook VEN-OPENFACTBOOK Country Profile

17 rows · 17 table(s) OpenFactBook 0 1 2 3 101 SEL 1 CCL 524 ext ▶

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0 Admin 0 — 17 table(s)

VEN OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 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	10.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	71.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ve
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	62.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	10.0
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — 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	2.683 million (2022 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	2.683
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	10 (2022 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	20.2 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	20.2
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	71 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	mix of state-run and private broadcast media subject to...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	13.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	62% (2017 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	2.7 million (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	2.7
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	10 (2022 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN OpenFactBook - Economy — 1 rows, 112 columns

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Field details — 112 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	139.395
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	33.1
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (107) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	South American economy; ongoing hyperinflation since...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-2010.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$110.943 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	110.943
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$106.672 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	106.672
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text`	Real gdp purchasing power parity 2021 (text)	string	0%	1	$98.768 billion (2021 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric`	Real gdp purchasing power parity 2021 (numeric)	float	0%	1	98.768
`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_2018_text`	Real gdp growth rate 2018 (text)	string	0%	1	-19.67% (2018 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2018_numeric`	Real gdp growth rate 2018 (numeric)	float	0%	1	-19.67
`real_gdp_growth_rate_real_gdp_growth_rate_2017_text`	Real gdp growth rate 2017 (text)	string	0%	1	-15.76% (2017 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2017_numeric`	Real gdp growth rate 2017 (numeric)	float	0%	1	-15.76
`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_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$4,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	4900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$4,600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	4600.0
`real_gdp_per_capita_real_gdp_per_capita_2021_text`	Real gdp per capita 2021 (text)	string	0%	1	$4,000 (2021 est.)
`real_gdp_per_capita_real_gdp_per_capita_2021_numeric`	Real gdp per capita 2021 (numeric)	float	0%	1	4000.0
`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	$139.395 billion (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	200.9% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	200.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	1,588.5% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	1588.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text`	Inflation rate consumer prices 2020 (text)	string	0%	1	2,355.1% (2020 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric`	Inflation rate consumer prices 2020 (numeric)	float	0%	1	2355.1
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`agricultural_products_text`	agricultural_products_text	string	0%	1	milk, sugarcane, maize, rice, plantains, oil palm fruit,...
+77 more extension fields — download the CSV/Parquet to see them all.

VEN 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`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	33.493 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	33.493
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	56.493 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	56.493
`electricity_exports_text`	electricity_exports_text	string	0%	1	600 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	600.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	25.849 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	25.849
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	21.6% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	21.6
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	78.3% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	78.3
`coal_production_text`	coal_production_text	string	0%	1	149,000 metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	149000.0
`coal_consumption_text`	coal_consumption_text	string	0%	1	80,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	80000.0
`coal_exports_text`	coal_exports_text	string	0%	1	124,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	124000.0
`coal_imports_text`	coal_imports_text	string	0%	1	2,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	2000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	730.999 million metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	730.999
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	801,000 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	801000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	203,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	203000.0
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	303.806 billion barrels (2021 est.)
`petroleum_crude_oil_estimated_reserves_numeric`	petroleum_crude_oil_estimated_reserves_numeric	float	0%	1	303.806
`natural_gas_production_text`	natural_gas_production_text	string	0%	1	23.873 billion cubic meters (2023 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

VEN OpenFactBook - Environment — 1 rows, 56 columns

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Field details — 56 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	24.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	53.5
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	88.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.16
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	9.779
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (48) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	sewage pollution of Lago de Valencia; oil and urban...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic Treaty,...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; more moderate in highlands
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	24.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 2.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	2.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.8% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.8
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 20.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	20.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	53.5% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	22.1% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	22.1
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	88.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.16% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	76.73 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	76.73
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	179,000 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	179000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	27.928 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	27.928
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	48.623 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	48.623
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	16.1 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	16.1
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	3,595.7 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	3595.7
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	1,007.8 kt (2019-2021 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

VEN OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 8 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Venezuelan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Venezuelan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	unspecified Spanish, Italian, Portuguese, Arab, German,...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN OpenFactBook - Geography — 1 rows, 63 columns

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Field details — 63 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	912050.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	882050.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	30000.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	5267.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2800.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	4978.0
`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	24.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	53.5
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	10550.0
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (50) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Northern South America, bordering the Caribbean Sea and...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	8 00 N, 66 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	8.0
`map_references_text`	map_references_text	string	0%	1	South America
`area_total_text`	area_total_text	string	0%	1	912,050 sq km
`area_land_text`	area_land_text	string	0%	1	882,050 sq km
`area_water_text`	area_water_text	string	0%	1	30,000 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	almost six times the size of Georgia; slightly more than...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	5,267 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Brazil 2,137 km; Colombia 2,341 km; Guyana 789 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	2137.0
`coastline_text`	coastline_text	string	0%	1	2,800 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	15 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	15.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; more moderate in highlands
`terrain_text`	terrain_text	string	0%	1	Andes Mountains and Maracaibo Lowlands in northwest;...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Pico Bolivar 4,978 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	450 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	450.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, natural gas, iron ore, gold, bauxite, other...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	24.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 2.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	2.9
+20 more extension fields — download the CSV/Parquet to see them all.

VEN OpenFactBook - Government — 1 rows, 96 columns

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Field details — 96 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	VEN
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (94) — 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	Bolivarian Republic of Venezuela
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Venezuela
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República Bolivariana de Venezuela
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Venezuela
`country_name_former_text`	country_name_former_text	string	0%	1	State of Venezuela, Republic of Venezuela, United States...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	in 1499, the stilt-houses built on Lake Maracaibo...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1499.0
`government_type_text`	government_type_text	string	0%	1	federal presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Caracas
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	10 29 N, 66 52 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	10.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-4 (1 hour ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-4.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named for the Caracas tribe that originally settled in...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	23 states (estados, singular - estado), 1 capital...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	23.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the Spanish civil code
`constitution_history_text`	constitution_history_text	string	0%	1	many previous; latest adopted 15 December 1999,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	15.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed through agreement by at least 39% of the...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	39.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	10 years; reduced to five years in the case of...
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	Interim President Delcy Eloína RODRÍGUEZ Gómez (since 5...
+64 more extension fields — download the CSV/Parquet to see them all.

VEN OpenFactBook - Introduction — 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`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	Venezuela was one of three countries that emerged from...
`background_numeric`	background_numeric	float	0%	1	1830.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN OpenFactBook - Languages — 1 rows, 8 columns

Loading data…

Field details — 8 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (5) — 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) 98.2%, indigenous 1.3%, Portuguese...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	98.2
`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	south-america/ve.json

VEN OpenFactBook - Migration — 1 rows, 11 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`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	20,911 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	20911.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	2,338 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	2338.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — Venezuela does not fully meet the minimum...
`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	south-america/ve.json

VEN OpenFactBook - Military And Security — 1 rows, 25 columns

Loading data…

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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`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	Bolivarian National Armed Forces (Fuerza Armada Nacional...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	0.6% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.5
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.6% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.3% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.3
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.6% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.6
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; approximately 125-150,000 active...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	125.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the FANB inventory is a mix of mostly older and some...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18-30 (25 for women) for voluntary service; the minimum...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the armed forces (FANB) are responsible for ensuring...
`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	south-america/ve.json

VEN OpenFactBook - People And Society — 1 rows, 112 columns

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Field details — 112 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	31755435.0
`population_male_numeric`	Population male	float	SEL	0%	1	15808263.0
`population_female_numeric`	Population female	float	SEL	0%	1	15947172.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	25.0
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	65.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	9.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	51.8
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	37.5
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	14.3
`median_age_total_numeric`	Median age	float	SEL	0%	1	31.3
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.88
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	16.45
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.54
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.15
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	88.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.16
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.99
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	227.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	13.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	74.5
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.16
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.05
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.66
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.0
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	97.2
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (83) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	31,755,435 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	15,808,263
`population_female_text`	population_female_text	string	0%	1	15,947,172
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	25% (male 3,987,361/female 3,811,307)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	65.9% (male 10,264,353/female 10,330,376)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	9.1% (2024 est.) (male 1,303,737/female 1,553,172)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	51.8 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	37.5 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	14.3 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	7.0
`median_age_total_text`	median_age_total_text	string	0%	1	31.3 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	30.3 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	30.3
`median_age_female_text`	median_age_female_text	string	0%	1	31.7 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	31.7
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.88% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	16.45 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.54 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.15 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of the population is concentrated in the northern...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	88.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.16% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	2.972 million CARACAS (capital), 2.368 million...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	2.972
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.99 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.99
+53 more extension fields — download the CSV/Parquet to see them all.

VEN OpenFactBook - Religions — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.1

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	Roman Catholic 48.1%, Protestant 31.6% (Evangelical...
`religions_numeric`	religions_numeric	float	0%	1	48.1
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

Pending (18) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	48.1
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	31.6
`composition_religion_protestant__evangelical_pct_synth`	Evangelical	numeric	0%	-	31.4
`composition_religion_protestant__adventist_pct_synth`	Adventist	numeric	0%	-	0.2
`composition_religion_jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	1.4
`composition_religion_african_american_umbanda_pct_synth`	African American/umbanda	numeric	0%	-	0.7
`composition_religion_believer_pct_synth`	believer	numeric	0%	-	3.5
`composition_religion_agnostic_pct_synth`	agnostic	numeric	0%	-	0.1
`composition_religion_atheist_pct_synth`	atheist	numeric	0%	-	-
`composition_religion_none_pct_synth`	none	numeric	0%	-	13.6
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	0.6
`composition_ethnicity_unspecified_spanish_pct_synth`	unspecified Spanish	numeric	0%	-	-
`composition_ethnicity_italian_pct_synth`	Italian	numeric	0%	-	-
`composition_ethnicity_portuguese_pct_synth`	Portuguese	numeric	0%	-	-
`composition_ethnicity_arab_pct_synth`	Arab	numeric	0%	-	-
`composition_ethnicity_german_pct_synth`	German	numeric	0%	-	-
`composition_ethnicity_african_pct_synth`	African	numeric	0%	-	-
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	-

VEN OpenFactBook - Space — 1 rows, 11 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`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
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Bolivarian Agency for Space Activities (Agencia...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2007.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a small national program primarily focused on...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	2005 - signed space cooperation partnership with...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	2005.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	National Liberation Army (ELN); Revolutionary Armed...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN OpenFactBook - Transnational Issues — 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	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`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
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major illicit drug-producing and/or drug-transit...
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN OpenFactBook - Transportation — 1 rows, 31 columns

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Field details — 31 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	YV
`airports_numeric`	Airports count	float	SEL	0%	1	509.0
`country_code`	Country code	string	SEL	0%	1	VEN
`country_name`	Country name	string	SEL	0%	1	Venezuela
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (26) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	509 (2025)
`heliports_text`	heliports_text	string	0%	1	88 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	88.0
`railways_total_text`	railways_total_text	string	0%	1	447 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	447.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	447 km (2014) 1.435-m gauge (41.4 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	447.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	272 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	272.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 3, container ship 1, general cargo 26, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	3.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	31 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	31.0
`ports_large_text`	ports_large_text	float	0%	1	1
`ports_large_numeric`	ports_large_numeric	float	0%	1	1.0
`ports_medium_text`	ports_medium_text	float	0%	1	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	11
`ports_small_numeric`	ports_small_numeric	float	0%	1	11.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	17
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	17.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	21
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	21.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Amuay (Bahia de Amuay), Bahia de Pertigalete, Ciudad...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-america/ve.json

VEN D-PLACE VEN-DPLACE Ethnographic Societies

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

VEN D-PLACE - Dplace Ea Societies — 16 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	VEN, VEN, VEN, VEN, VEN
`society_id`	Society id	string	CCL	0%	16	Sb3, Sb4, Sb5, Sb7, Sc1
`society_name`	Society name	string	CCL	0%	16	Barí (Motilon), Cariña, Paraujano, Yupa, Warao
`language_glottocode`	Language glottocode	string	CCL	0%	15	yukp1241, taba1267, para1316, yukp1241, wara1303
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	16	EA001:4; EA002:1; EA003:2; EA004:0; EA005:3, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	15	EA006:6; EA007:8; EA008:7; EA009:6; EA010:11, EA006:6;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	14	EA028:3; EA029:5; EA030:7; EA031:1; EA032:3, EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	5	EA033:1; EA034:NA; EA035:NA, EA033:1; EA034:1; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	10	EA034:NA; EA112:NA, EA034:1; EA112:NA, EA034:2; EA112:8,...
`residence_pattern`	Residence pattern	string	CCL	0%	7	EA011:2; EA012:11; EA013:1, EA011:2; EA012:11; EA013:1,...

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	Venezuela, Venezuela, Venezuela, Venezuela, Venezuela
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	8	9.0, 9.0, 11.0, 9.0, 9.0
`longitude`	longitude	float	0%	8	-72.0, -64.0, -72.0, -72.0, -62.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

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

4 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 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 — 2 table(s)

VEN Nga Gns - Language — 3 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	VEN, VEN, VEN
`gns_language_code`	gns_language_code	string	CCL	0%	3	spa, eng, por
`gns_language_name`	gns_language_name	string	CCL	0%	3	Spanish, English, Portuguese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	7731, 44, 11
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.2936, 0.5651, 0.1413
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	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

VEN Nga Gns - Summary — 1 rows, 29 columns

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Field details — 29 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	VEN
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Venezuela
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9868
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	75509
`gns_feature_count`	gns_feature_count	integer	0%	1	68219
`gns_endonym_count`	gns_endonym_count	integer	0%	1	75499
`gns_exonym_count`	gns_exonym_count	integer	0%	1	10
`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_spot_features`	gns_name_count_spot_features	integer	0%	1	11801
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	11586
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	3835
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	3648
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	28457
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	25433
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	19494
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	17480
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	10562
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	9356
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	315
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	306
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	1034
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	400
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	11
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	10

VEN Ethnic Power Relations Dataset VEN-EPR Political Ethnicity

3 rows · 1 table(s) 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)

VEN EPR - Groups — 3 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	VEN, VEN, VEN
`ethnic_group_name`	Ethnic group name	string	CCL	0%	3	Whites/mestizos, Afrovenezuelans, Indigenous peoples
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	3	0.848, 0.125, 0.027
`ethnic_group_id`	Ethnic group id	float	CCL	0%	3	10101000, 10102000, 10103000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, false, false

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, 2021
`group_relevance`	group_relevance	string	0%	1	, ,

VEN Global Organized Crime Index VEN-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VEN Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	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_financial_crimes`	oc_financial_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_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	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_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	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_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

VEN World Values Survey VEN-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 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)

VEN WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

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

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Spanish (spa)	7,731	99.3%	—
English (eng)	44	0.6%	—
Portuguese (por)	11	0.1%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download