Equatorial Guinea

GNQ Global Data Lab GNQ-GDL Development Indices

144 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)

GNQ GDL - Subnational Indices — 144 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	GNQ, GNQ, GNQ, GNQ, GNQ
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	6	Total, Annobon, Bioko, Centro Sur, Kie Ntem, Litoral
`human_development_index`	Human development index	float	SEL	0%	87	0.488, 0.556, 0.445, 0.451, 0.511
`health_index`	Health index	float	SEL	0%	83	0.514, 0.513, 0.523, 0.506, 0.549
`education_index`	Education index	float	SEL	0%	93	0.339, 0.426, 0.285, 0.31, 0.356
`income_index`	Income index	float	SEL	0%	88	0.669, 0.786, 0.59, 0.585, 0.684
`life_expectancy`	Life expectancy	float	SEL	0%	98	53.4, 53.34, 53.98, 52.89, 55.69
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	5.08, 7.645, 3.516, 4.191, 5.622

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	17	2000, 2000, 2000, 2000, 2000
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

GNQ World Bank Open Data GNQ-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

GNQ 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	GQ, GQ, GQ, GQ, GQ
`population_count`	Population count	float	SEL	2%	65	269807.0, 274896.0, 280286.0, 285965.0, 291942.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	42.742, 43.008, 43.275, 43.54, 43.805
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	8%	61	132.911859077276, 154.797498528375, 177.826417576094,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	99%	1	88.3099975585938
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	36%	42	200.9, 196.9, 192.7, 189.1, 186.0
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	2	76.8, 50.7

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	Equatorial Guinea, Equatorial Guinea, Equatorial Guinea,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

GNQ 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	GQ, GQ, GQ, GQ, GQ
`life_expectancy`	Life expectancy	float	SEL	3%	64	42.742, 43.008, 43.275, 43.54, 43.805
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	35	49.9, 49.6, 49.4, 49.2, 49.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	36%	42	200.9, 196.9, 192.7, 189.1, 186.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	38	658.0, 666.0, 672.0, 675.0, 688.0
`fertility_rate`	Fertility rate	float	SEL	3%	60	5.653, 5.661, 5.673, 5.69, 5.711
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	40.375, 40.264, 40.22, 40.247, 40.336
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	22.857, 22.592, 22.336, 22.093, 21.862
`physicians_per_1000`	Physicians per 1000	float	SEL	88%	8	0.167, 0.086, 0.281, 0.208, 0.246
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	94%	4	4.99603176116943, 2.80299997329712, 1.9, 2.1
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	39%	30	3.0, 3.0, 10.0, 19.0, 48.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	1.22260201, 1.32559299, 2.88730073, 1.97185338, 1.58463597

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	Equatorial Guinea, Equatorial Guinea, Equatorial Guinea,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

GNQ UNHCR Refugee Data Finder GNQ-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

GNQ UNHCR - Hosted Populations — 2 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%	-	-

GNQ UNHCR - Origin Populations — 44 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%	-	-

GNQ OpenFactBook GNQ-OPENFACTBOOK Country Profile

14 rows · 14 table(s) · 2024 OpenFactBook 0 1 2 3 89 SEL 3 CCL 518 ext ▶

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0 Admin 0 — 14 table(s)

GNQ OpenFactBook - Communications — 1 rows, 20 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	1.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	50.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.gq
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	60.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2022.0
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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	11,000 (2022 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	11000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2022 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	893,441 (2022 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	893441.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	50 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	the state maintains control of broadcast media; 1...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	60% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	2,000 (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	2000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2022 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/ek.json

GNQ OpenFactBook - Economy — 1 rows, 136 columns

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Field details — 142 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	15500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	12.766
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (137) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	growing CEMAC economy and new OPEC member; large oil and...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$29.248 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	29.248
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$28.985 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	28.985
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$30.539 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	30.539
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	0.9% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	0.9
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	-5.1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	-5.1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	3.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	3.2
`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	$15,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$15,700 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	15700.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$16,900 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	16900.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$12.766 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	4.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	4.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	-0.1% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	-0.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text`	Inflation rate consumer prices 2020 (text)	string	0%	1	4.8% (2020 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric`	Inflation rate consumer prices 2020 (numeric)	float	0%	1	4.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+107 more extension fields — download the CSV/Parquet to see them all.

GNQ OpenFactBook - Energy — 1 rows, 39 columns

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Field details — 39 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	67.0
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (35) — 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	67% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	89.8%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	89.8
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	1.4%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	1.4
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	349,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	349000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	1.402 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	1.402
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	170.527 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	170.527
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	68.6% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	68.6
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	31.4% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	31.4
`coal_imports_text`	coal_imports_text	string	0%	1	8 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	8.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	98,000 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	98000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	6,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	6000.0
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	1.1 billion barrels (2021 est.)
`petroleum_crude_oil_estimated_reserves_numeric`	petroleum_crude_oil_estimated_reserves_numeric	float	0%	1	1.1
`natural_gas_production_text`	natural_gas_production_text	string	0%	1	6.013 billion cubic meters (2023 est.)
`natural_gas_production_numeric`	natural_gas_production_numeric	float	0%	1	6.013
`natural_gas_consumption_text`	natural_gas_consumption_text	string	0%	1	2.332 billion cubic meters (2023 est.)
`natural_gas_consumption_numeric`	natural_gas_consumption_numeric	float	0%	1	2.332
`natural_gas_exports_text`	natural_gas_exports_text	string	0%	1	3.63 billion cubic meters (2023 est.)
`natural_gas_exports_numeric`	natural_gas_exports_numeric	float	0%	1	3.63
`natural_gas_proven_reserves_text`	natural_gas_proven_reserves_text	string	0%	1	139.007 billion cubic meters (2021 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

GNQ 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	3.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	86.4
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	74.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.62
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	198400.0
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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	deforestation (agricultural expansion, fires, and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Comprehensive Nuclear Test Ban
`climate_text`	climate_text	string	0%	1	tropical; always hot, humid
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	3.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.7% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.7
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	0.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	86.4% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	9.9% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	9.9
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	74.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.62% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	5.471 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	5.471
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1 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	1.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	896,000 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	896000.0
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	4.575 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	4.575
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	26.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	26.5
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	129.8 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	129.8
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	0.4 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	0.4
+17 more extension fields — download the CSV/Parquet to see them all.

GNQ 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	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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	Equatorial Guinean(s) or Equatoguinean(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Equatorial Guinean or Equatoguinean
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Fang 78.1%, Bubi 9.4%, Ndowe 2.8%, Nanguedambo 2.7%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	78.1
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/ek.json

GNQ OpenFactBook - Geography — 1 rows, 49 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	28051.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	28051.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	528.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	296.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	3008.0
`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	3.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	86.4
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (40) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Central Africa, bordering the Bight of Biafra, between...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	2 00 N, 10 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	2.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	28,051 sq km
`area_land_text`	area_land_text	string	0%	1	28,051 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Maryland
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	528 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Cameroon 183 km; Gabon 345 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	183.0
`coastline_text`	coastline_text	string	0%	1	296 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical; always hot, humid
`terrain_text`	terrain_text	string	0%	1	coastal plains rise to interior hills; islands are volcanic
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Pico Basile 3,008 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Atlantic Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	577 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	577.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, natural gas, timber, gold, bauxite, diamonds,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	3.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.7% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.7
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	0.2
+10 more extension fields — download the CSV/Parquet to see them all.

GNQ OpenFactBook - Government — 1 rows, 90 columns

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Field details — 116 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	GNQ
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (114) — 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 Equatorial Guinea
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Equatorial Guinea
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republica de Guinea Ecuatorial (Spanish)/ République de...
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Guinea Ecuatorial (Spanish)/Guinée équatoriale (French)
`country_name_former_text`	country_name_former_text	string	0%	1	Spanish Guinea
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the country is named for the Guinea region of West...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Malabo; note - Malabo is on the island of Bioko; some...
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	3 45 N, 8 47 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	3.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+1 (6 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	1.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	English settlers who founded the city in 1827 named it...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1827.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	8 provinces (provincias, singular - provincia); Annobon,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	8.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of civil and customary law
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1968, 1973, 1982; approved by referendum 17...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1968.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president of the republic or supported...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Equatorial Guinea
`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	10 years
`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	President OBIANG Nguema Mbasogo (since 3 August 1979)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	3.0
+84 more extension fields — download the CSV/Parquet to see them all.

GNQ 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	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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	Equatorial Guinea consists of a continental territory...
`background_numeric`	background_numeric	float	0%	1	1000.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/ek.json

GNQ OpenFactBook - Languages — 1 rows, 7 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	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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) 67.6%, other (includes Fang, Bubi,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	67.6
`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	africa/ek.json

GNQ OpenFactBook - Migration — 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	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	5 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	5.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/ek.json

GNQ OpenFactBook - Military And Security — 1 rows, 21 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	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`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	Equatorial Guinea Armed Forces (Fuerzas Armadas de...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1% of GDP (2024)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.6% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.6
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.3% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.3% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.3
`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	estimated 2,000 active Armed Forces, including Gendarmerie (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	2000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the FAGE is armed with mostly older (typically...
`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	18-25 for voluntary military service; selective...
`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 of Equatorial Guinea (FAGE) are...
`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	africa/ek.json

GNQ OpenFactBook - People And Society — 1 rows, 81 columns

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Field details — 92 fields (type, nulls, unique, samples)

Standards-Aligned Fields (27)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	1795834.0
`population_male_numeric`	Population male	float	SEL	0%	1	962385.0
`population_female_numeric`	Population female	float	SEL	0%	1	833449.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	35.6
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	59.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	5.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	68.4
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	60.0
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	8.4
`median_age_total_numeric`	Median age	float	SEL	0%	1	22.3
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	3.1
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	28.55
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	8.81
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	11.29
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	74.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.62
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.16
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	174.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	76.9
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	63.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.05
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.99
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.15
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (65) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	1,795,834 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	962,385
`population_female_text`	population_female_text	string	0%	1	833,449
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	35.6% (male 330,636/female 309,528)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	59.4% (male 585,139/female 481,121)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	5% (2024 est.) (male 46,610/female 42,800)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	68.4 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	60 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	8.4 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	11.9 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	11.9
`median_age_total_text`	median_age_total_text	string	0%	1	22.3 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	22.7 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	22.7
`median_age_female_text`	median_age_female_text	string	0%	1	21.5 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	21.5
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	3.1% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	28.55 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	8.81 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	11.29 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the two large cities are Bata on the mainland and the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	74.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.62% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	297,000 MALABO (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	297000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.07 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.07
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.22 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.22
+35 more extension fields — download the CSV/Parquet to see them all.

GNQ OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 21 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	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	2.0
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	5.0
`composition_ethnicity_primary_label_synth`	Fang	string	CCL	0%	-	Fang

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 88%, Protestant 5%, Muslim 2%, other 5%...
`religions_numeric`	religions_numeric	float	0%	1	88.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/ek.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	88.0
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	5.0
`composition_ethnicity_fang_pct_synth`	Fang	numeric	0%	-	78.1
`composition_ethnicity_bubi_pct_synth`	Bubi	numeric	0%	-	9.4
`composition_ethnicity_ndowe_pct_synth`	Ndowe	numeric	0%	-	2.8
`composition_ethnicity_nanguedambo_pct_synth`	Nanguedambo	numeric	0%	-	2.7
`composition_ethnicity_bisio_pct_synth`	Bisio	numeric	0%	-	0.9
`composition_ethnicity_foreigner_pct_synth`	foreigner	numeric	0%	-	5.3
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	0.7
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	0.2
`composition_ethnicity_primary_share_pct_synth`	Fang	numeric	0%	-	78.1

GNQ OpenFactBook - Transportation — 1 rows, 25 columns

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Field details — 26 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	3C
`airports_numeric`	Airports count	float	SEL	0%	1	7.0
`country_code`	Country code	string	SEL	0%	1	GNQ
`country_name`	Country name	string	SEL	0%	1	Equatorial Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (21) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	3.0
`airports_text`	airports_text	string	0%	1	7 (2025)
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	53 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	53.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 1, general cargo 16, oil tanker 7, other 29
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	7 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	7.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	6
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	6.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	6
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	6.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bata, Ceiba Terminal, Cogo, Luba, Malabo, Punta Europa...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/ek.json

GNQ Glottolog Language Catalog GNQ-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

GNQ Glottolog - Languages — 12 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%	12	bata1285, beng1282, bube1242, fada1250, fang1246
`name`	Name	string	CCL	0%	12	Batanga, Benga, Bube, Annobonese, Fang (Equatorial Guinea)
`iso639_3`	Iso639 3	string	CCL	0%	12	bnm, bng, bvb, fab, fan
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	2	atla1278, atla1278, atla1278, indo1319, atla1278
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	9	beng1289, beng1289, mbam1254, bant1299, yaun1239
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	5	['CM', 'GQ'], ['GA', 'GQ'], ['GQ'], ['GQ'], ['CG', 'CM',...
`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%	4	0, 0, 3, 0, 5

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	12	1.397041, 1.075766, 3.53638, -1.43033, 1.723965
`longitude`	longitude	float	0%	12	9.51011, 9.600739, 8.68929, 5.61879, 11.61454
`classification`	classification	string	0%	1	[], [], [], [], []

GNQ LandScan Global (ORNL) GNQ-LANDSCAN Modeled Population

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

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0 Admin 0 — 1 table(s)

GNQ 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	GNQ
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Equatorial Guinea
`admin_code`	Admin code	string	SEL	0%	1	36962785B17032204434992
`area_sqkm`	Area sqkm	float	SEL	0%	1	27033.2172
`pop_2024`	Population count	integer	SEL	0%	1	1768464
`pop_density_2024`	Population density	float	SEL	0%	1	65.42

1 Admin 1 — 1 table(s)

GNQ LandScan - Population Admin1 (admin_1) — 7 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	GNQ, GNQ, GNQ, GNQ, GNQ
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	7	Litoral Province, Bioko Norte, Kié-Ntem Province,...
`admin_code`	Admin code	string	SEL	0%	7	51917635B39894172986547, 51917635B51392139910348,...
`area_sqkm`	Area sqkm	float	SEL	0%	7	7068.271, 613.8853, 3563.8116, 6021.2122, 8415.8546
`pop_2024`	Population count	integer	SEL	0%	7	522681, 423447, 297358, 277657, 205232
`pop_density_2024`	Population density	float	SEL	0%	7	73.95, 689.78, 83.44, 46.11, 24.39

Locality Locality — 1 table(s)

GNQ LandScan - Cities (locality) — 2 rows, 9 columns

Loading data…

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	GNQ, GNQ
`admin_level`	Admin level	string	SEL	0%	1	locality, locality
`admin_name`	Admin name	string	SEL	0%	2	Bata, Malabo
`admin_code`	Admin code	integer	SEL	0%	2	255, 76
`area_sqkm`	Area sqkm	float	SEL	0%	2	87.4126, 70.5288
`pop_2024`	Population count	integer	SEL	0%	2	428963, 394390
`pop_density_2024`	Population density	float	SEL	0%	2	4907.34, 5591.9

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%	2	789800, 729478
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	2	0.543, 0.541

GNQ Ethnic Power Relations Dataset GNQ-EPR Political Ethnicity

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

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0 Admin 0 — 1 table(s)

GNQ EPR - Groups — 5 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	GNQ, GNQ, GNQ, GNQ, GNQ
`ethnic_group_name`	Ethnic group name	string	CCL	0%	5	Fang, Bubi, Ndowe, Fernandinos, Annobon Islanders
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, DISCRIMINATED, DISCRIMINATED, DISCRIMINATED,...
`ethnic_population_share`	Ethnic population share	float	CCL	0%	5	0.857, 0.065, 0.036, 0.009, 0.005
`ethnic_group_id`	Ethnic group id	float	CCL	0%	5	41101000, 41103000, 41102000, 41104000, 41105000
`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, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

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

5 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 18 ext ▶

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0 Admin 0 — 2 table(s)

GNQ 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	GNQ, GNQ, GNQ, GNQ
`gns_language_code`	gns_language_code	string	CCL	0%	4	spa, eng, fra, por
`gns_language_name`	gns_language_name	string	CCL	0%	4	Spanish, English, French, Portuguese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	133, 4, 3, 2
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	93.662, 2.8169, 2.1127, 1.4085
`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

GNQ Nga Gns - Summary — 1 rows, 25 columns

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Field details — 25 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	GNQ
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Equatorial Guinea
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9666
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	5993
`gns_feature_count`	gns_feature_count	integer	0%	1	4400
`gns_endonym_count`	gns_endonym_count	integer	0%	1	5991
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	2965
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	2085
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	1827
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1534
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	444
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	219
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	550
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	494
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	206
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	67
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	1
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	1

GNQ D-PLACE GNQ-DPLACE Ethnographic Societies

2 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)

GNQ D-PLACE - Dplace Ea Societies — 2 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	GNQ, GNQ
`society_id`	Society id	string	CCL	0%	2	Ae44, Ae47
`society_name`	Society name	string	CCL	0%	2	Bubi, Puku
`language_glottocode`	Language glottocode	string	CCL	0%	2	bube1242, bata1285
`language_name`	Language name	string	CCL	0%	1	,
`kinship_system`	Kinship system	string	CCL	0%	2	EA001:0; EA002:1; EA003:1; EA004:1; EA005:7, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	2	EA006:1; EA007:8; EA008:8; EA009:5; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	2	EA028:3; EA029:5; EA030:7; EA031:NA; EA032:3, EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	2	EA033:5; EA034:NA; EA035:NA, EA033:2; EA034:NA; EA035:NA
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:NA; EA112:NA, EA034:NA; EA112:NA
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; 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	Equatorial Guinea, Equatorial Guinea
`dataset`	dataset	string	0%	1	EA, EA
`region`	region	string	0%	1	,
`latitude`	latitude	float	0%	2	3.54, 2.0
`longitude`	longitude	float	0%	2	8.72, 10.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate

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

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

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Locality Locality — 1 table(s)

GNQ GHS-UCDB - Cities (locality) — 2 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%	2	Bata, Malabo
`country_code`	Country code	string	SEL	0%	1	GNQ, GNQ
`population`	Population count	integer	SEL	0%	2	789800, 729478

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	2	255, 76
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Equatorial Guinea, Equatorial Guinea
`population_year`	population_year	integer	0%	1	2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

GNQ Global Organized Crime Index GNQ-OCINDEX Crime Index

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

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0 Admin 0 — 1 table(s)

GNQ Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 168 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 (133) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	GNQ
`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	179
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	2
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	2
`oc_anti_money_laundering_2019`	oc_anti_money_laundering_2019	float	0%	1	1.5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	120
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	5.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	5
`oc_arms_trafficking_2019`	oc_arms_trafficking_2019	integer	0%	1	4
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	159
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	3.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	float	0%	1	3.5
`oc_cannabis_trade_2019`	oc_cannabis_trade_2019	float	0%	1	3.5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	151
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	2
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	float	0%	1	1.5
`oc_cocaine_trade_2019`	oc_cocaine_trade_2019	integer	0%	1	1
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	97
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	5.2
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	4.38
`oc_criminal_actors_2019`	oc_criminal_actors_2019	float	0%	1	3.5
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	162
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	3.57
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	3.85
`oc_criminal_markets_2019`	oc_criminal_markets_2019	float	0%	1	3.55
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	186
+103 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Equatorial Guinea

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Language	Place names	Share	Script
Spanish (spa)	133	93.7%	—
English (eng)	4	2.8%	—
French (fra)	3	2.1%	—
Portuguese (por)	2	1.4%	—

Source	Type	Access
NGA GEOnet Names Server (GNS)	official_government	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
Ethnic Power Relations Dataset	academic	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download