Nigeria

NGA Glottolog Language Catalog NGA-GLOTTOLOG Language

589 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

NGA Glottolog - Languages — 589 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	aban1242, abon1238, abua1244, abur1244, adam1253
`name`	Name	string	CCL	0%	100	Abanyom, Abon, Abua, Abureni, Adamawa Fulfulde
`iso639_3`	Iso639 3	string	CCL	5%	95	abm, abo, abn, mgj, fub
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	1%	10	atla1278, atla1278, atla1278, atla1278, atla1278
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	1%	80	aban1245, nort3192, abua1243, uncl1542, adam1260
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	11	0, 0, 4, 0, 6

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	1%	99	6.30619, 6.90621, 4.83057, 4.62301, 8.140326
`longitude`	longitude	float	1%	99	8.63055, 10.8769, 6.61492, 6.50634, 13.077338
`country_codes`	Country codes	string	0%	10	['NG'], ['CM', 'NG'], ['NG'], ['NG'], ['CM', 'ER', 'ET',...
`classification`	classification	string	0%	1	[], [], [], [], []

NGA LandScan Global (ORNL) NGA-LANDSCAN Modeled Population

463 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

NGA 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	NGA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	the Federal Republic of Nigeria
`admin_code`	Admin code	string	SEL	0%	1	39225661B33378512450279
`area_sqkm`	Area sqkm	float	SEL	0%	1	912727.4967
`pop_2024`	Population count	integer	SEL	0%	1	237001361
`pop_density_2024`	Population density	float	SEL	0%	1	259.66

1 Admin 1 — 1 table(s)

NGA LandScan - Population Admin1 (admin_1) — 37 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	NGA, NGA, NGA, NGA, NGA
`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%	37	Lagos, Kano, Kaduna, Katsina, Oyo
`admin_code`	Admin code	string	SEL	0%	37	27671186B19119389308001, 27671186B50148357657004,...
`area_sqkm`	Area sqkm	float	SEL	0%	37	3763.8451, 20230.3153, 45061.7933, 24234.195, 27707.4604
`pop_2024`	Population count	integer	SEL	0%	37	22295296, 14892564, 9591931, 9220905, 8951085
`pop_density_2024`	Population density	float	SEL	0%	37	5923.54, 736.15, 212.86, 380.49, 323.06

Locality Locality — 1 table(s)

NGA LandScan - Cities (locality) — 425 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	NGA, NGA, NGA, NGA, NGA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Lagos, Kano, Onitsha, Ibadan, Owerri
`admin_code`	Admin code	integer	SEL	0%	100	1289, 8125, 7092, 2880, 7131
`area_sqkm`	Area sqkm	float	SEL	0%	100	1191.183, 416.4357, 1082.8642, 570.284, 1136.4915
`pop_2024`	Population count	integer	SEL	0%	99	21554883, 5352031, 4158300, 3741294, 3063177
`pop_density_2024`	Population density	float	SEL	0%	100	18095.36, 12852.0, 3840.09, 6560.4, 2695.29

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%	100	12846045, 5110616, 5788296, 4043955, 3594823
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	85	1.678, 1.047, 0.718, 0.925, 0.852

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

425 rows · 1 table · 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)

NGA GHS-UCDB - Cities (locality) — 425 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%	100	Lagos, Onitsha, Kano, Ibadan, Owerri
`country_code`	Country code	string	SEL	0%	1	NGA, NGA, NGA, NGA, NGA
`population`	Population count	integer	SEL	0%	100	12846045, 5788296, 5110616, 4043955, 3594823

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	1289, 7092, 8125, 2880, 7131
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

NGA USAID DHS Program NGA-DHS Health Surveys

384 rows · 2 tables · 2024 USAID DHS Program 0 1 2 3 6 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

NGA DHS - Ethnicity Indicators — 233 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	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	95	91.9, 96.4, 88.0, 91.6, 93.5
`men_who_are_literate`	Men who are literate	float	CCL	40%	55	94.5, 89.9, 94.7, 77.7, 61.1

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`survey_year`	survey_year	integer	0%	5	2013, 2015, 2018, 2021, 2024
`region`	region	string	0%	20	..Abia, ..Abia, ..Abia, ..Abia, ..Abia
`survey_id`	survey_id	string	0%	5	NG2013DHS, NG2015MIS, NG2018DHS, NG2021MIS, NG2024DHS
`survey_type`	survey_type	string	0%	2	DHS, MIS, DHS, MIS, DHS

NGA DHS - Health Indicators — 151 rows, 11 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	92	19.6, 6.9, 17.6, 2.9, 17.9
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	63	79.0, 65.0, 49.0, 103.0, 68.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	72	132.0, 86.0, 69.0, 174.0, 104.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	95	49.8, 39.0, 38.0, 40.4, 36.8
`children_underweight`	Children underweight	float	CCL	0%	88	11.6, 14.6, 16.3, 23.1, 19.1

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`survey_year`	survey_year	integer	0%	3	2013, 2018, 2024, 2013, 2018
`region`	region	string	0%	34	..Abia, ..Abia, ..Abia, ..Adamawa, ..Adamawa
`survey_id`	survey_id	string	0%	3	NG2013DHS, NG2018DHS, NG2024DHS, NG2013DHS, NG2018DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

NGA World Bank Open Data NGA-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

NGA 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	NG, NG, NG, NG, NG
`population_count`	Population count	float	SEL	2%	65	45053782.0, 45989310.0, 46965292.0, 47973575.0, 49012016.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	37.207, 37.427, 37.606, 37.806, 37.98
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	93.1370090424417, 97.1375281143562, 104.532495533943,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	91%	6	55.4500007629395, 54.7700004577637, 70.1999969482422,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	9%	59	327.1, 320.2, 313.4, 306.6, 299.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	2	40.1, 56.2

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	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

NGA 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	NG, NG, NG, NG, NG
`life_expectancy`	Life expectancy	float	SEL	3%	64	37.207, 37.427, 37.606, 37.806, 37.98
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	14%	50	69.6, 68.6, 67.5, 66.2, 65.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	9%	59	327.1, 320.2, 313.4, 306.6, 299.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	38	1344.0, 1363.0, 1351.0, 1332.0, 1304.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.364, 6.353, 6.356, 6.349, 6.362
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	63	46.462, 46.554, 46.743, 46.759, 46.87
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	26.457, 26.286, 26.165, 26.016, 25.89
`physicians_per_1000`	Physicians per 1000	float	SEL	62%	22	0.017, 0.043, 0.05, 0.049, 0.113
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	89%	7	0.418167114257813, 0.559800028800964, 0.555800020694733,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	38%	27	9.0, 16.0, 22.0, 29.0, 36.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.1973834, 3.18946862, 2.49063969, 5.05360985, 4.63368416

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	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

NGA World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	NGA, NGA, NGA, NGA, NGA
`country_name`	country_name	string	0%	1	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	456621.0, 462999.0, 487882.0, 969714.0, 990494.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	4	0.5, 0.4, 0.4, 0.7, 0.6
`net_migration`	net_migration	float	0%	66	12131.0, 25515.0, 27906.0, 27115.0, 26411.0
`remittances_received_usd`	remittances_received_usd	float	26%	49	20164384.3377957, 3148257.78257618, 8278044.63171683,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	26%	49	0.0559571421849802, 0.00861878465426647,...
`remittances_paid_usd`	remittances_paid_usd	float	26%	49	198541626.0, 253434753.4, 355955932.6, 523061462.4, 484047332.8

NGA D-PLACE NGA-DPLACE Ethnographic Societies

136 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

NGA D-PLACE - Dplace Ea Societies — 68 rows, 23 columns

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Field details — 23 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	NGA, NGA, NGA, NGA, NGA
`society_id`	Society id	string	CCL	0%	68	Ae45, Ae52, Af10, Af13, Af16
`society_name`	Society name	string	CCL	0%	68	Kundu, Fungom, Igbo, Ebira, Banyang
`language_glottocode`	Language glottocode	string	CCL	0%	65	orok1266, mmen1238, nucl1417, ebir1243, keny1279
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	38	EA017:3; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	50	EA006:1; EA007:8; EA008:5; EA009:5; EA023:NA; EA025:NA,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	47	EA001:0; EA002:1; EA003:1; EA004:2; EA005:6; EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	11	EA032:2; EA033:1, EA032:NA; EA033:NA, EA032:4; EA033:2,...
`religion_importance`	Religion importance	string	CCL	0%	17	EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:2;...
`residence_pattern`	Residence pattern	string	CCL	0%	16	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	18	EA030:7; EA031:4, EA030:NA; EA031:NA, EA030:6; EA031:5,...

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	9	10.0, 7.0, 6.0, 8.0, 6.0
`longitude`	longitude	float	0%	11	9.0, 10.0, 7.0, 7.0, 9.0
`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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

NGA D-PLACE - Dplace Ea Societies Decoded — 68 rows, 49 columns

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Field details — 49 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	NGA, NGA, NGA, NGA, NGA
`society_id`	society_id	string	CCL	0%	68	Ae45, Ae52, Af10, Af13, Af16
`society_name`	society_name	string	CCL	0%	68	Kundu, Fungom, Igbo, Ebira, Banyang
`language_glottocode`	language_glottocode	string	CCL	0%	65	orok1266, mmen1238, nucl1417, ebir1243, keny1279
`language_name`	language_name	string	CCL	0%	1	, , , ,

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	9	10.0, 7.0, 6.0, 8.0, 6.0
`longitude`	longitude	float	0%	11	9.0, 10.0, 7.0, 7.0, 9.0
`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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	12%	3	2, 4, 3, 3, 4
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	12%	4	1, 2, 2, 2, 1
`religion_high_gods`	religion_high_gods	integer	53%	4	2, 2, 2, 2, 2
`trance_states`	trance_states	integer	68%	6	4, 3, 8, 7, 5
`settlement_patterns`	settlement_patterns	integer	10%	6	7, 6, 7, 7, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	62%	7	4, 5, 4, 5, 6
`marital_residence_first_years`	marital_residence_first_years	integer	0%	6	8, 8, 8, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	2	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	6	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	4	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	6	11, 11, 11, 11, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	4%	5	3, 3, 6, 3, 4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	4%	3	3, 3, 3, 3, 4
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	4%	3	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	4%	3	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	4%	6	9, 9, 9, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	4%	2	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	31%	5	6, 6, 2, 2, 4
`descent_major_type`	descent_major_type	integer	4%	6	1, 1, 1, 1, 1
+14 more extension fields — download the CSV/Parquet to see them all.

NGA UNHCR Refugee Data Finder NGA-UNHCR Migration

92 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

NGA UNHCR - Hosted Populations — 50 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%	-	-

NGA UNHCR - Origin Populations — 42 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%	-	-

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

38 rows · 2 tables · 2022 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.

0 Admin 0 — 1 table(s)

NGA COD PS - NGA Codps (admin_0) — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	NG
`region_name`	Region name	string	SEL	0%	1	Nigeria
`F_TL`	Female population	integer	SEL	0%	1	108459809
`M_TL`	Male population	integer	SEL	0%	1	108363459
`T_TL`	Total population	integer	SEL	0%	1	216798930

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`year`	year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	integer	0%	1	16705671
`F_05_09`	Female population age 5-9	integer	0%	1	15024834
`F_10_14`	Female population age 10-14	integer	0%	1	13802175
`F_15_19`	Female population age 15-19	integer	0%	1	10797472
`F_20_24`	Female population age 20-24	integer	0%	1	9192425
`F_25_29`	Female population age 25-29	integer	0%	1	7621127
`F_30_34`	Female population age 30-34	integer	0%	1	6725245
`F_35_39`	Female population age 35-39	integer	0%	1	6864567
`F_40_44`	Female population age 40-44	integer	0%	1	6162995
`F_45_49`	Female population age 45-49	integer	0%	1	4625048
`F_50_54`	Female population age 50-54	integer	0%	1	3518298
`F_55_59`	Female population age 55-59	integer	0%	1	2616803
`F_60_64`	Female population age 60-64	integer	0%	1	1900536
`F_65_69`	Female population age 65-69	integer	0%	1	1251477
`F_70_74`	Female population age 70-74	integer	0%	1	791337
`F_75_79`	Female population age 75-79	integer	0%	1	469872
`F_80Plus`	F_80Plus	integer	0%	1	363089
`M_00_04`	Male population age 0-4	integer	0%	1	16890357
`M_05_09`	Male population age 5-9	integer	0%	1	15046183
`M_10_14`	Male population age 10-14	integer	0%	1	13775731
`M_15_19`	Male population age 15-19	integer	0%	1	11063894
`M_20_24`	Male population age 20-24	integer	0%	1	9701073
`M_25_29`	Male population age 25-29	integer	0%	1	8257454
`M_30_34`	Male population age 30-34	integer	0%	1	7005019
`M_35_39`	Male population age 35-39	integer	0%	1	5969371
`M_40_44`	Male population age 40-44	integer	0%	1	5068459
`M_45_49`	Male population age 45-49	integer	0%	1	4075201
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

NGA COD PS - NGA Codps (admin_1) — 37 rows, 58 columns

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Field details — 58 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	37	NG001, NG002, NG003, NG004, NG005
`region_name`	Region name	string	SEL	0%	37	Abia, Adamawa, Akwa Ibom, Anambra, Bauchi
`F_TL`	Female population	integer	SEL	0%	37	2094668, 2446708, 2487982, 2983151, 4160248
`M_TL`	Male population	integer	SEL	0%	37	2048425, 2455347, 2491436, 2970366, 4148535
`T_TL`	Total population	integer	SEL	0%	37	4143093, 4902055, 4979418, 5953517, 8308783

Pending (53) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	37	335552, 414427, 305461, 437103, 772241
`F_05_09`	Female population age 5-9	integer	0%	37	279401, 347902, 294371, 384269, 685532
`F_10_14`	Female population age 10-14	integer	0%	37	233734, 315042, 273328, 362494, 609840
`F_15_19`	Female population age 15-19	integer	0%	37	157163, 253759, 215510, 235274, 438817
`F_20_24`	Female population age 20-24	integer	0%	37	149264, 218033, 202371, 214450, 350153
`F_25_29`	Female population age 25-29	integer	0%	37	159273, 172985, 199320, 226416, 257995
`F_30_34`	Female population age 30-34	integer	0%	37	153149, 146396, 187019, 218481, 210610
`F_35_39`	Female population age 35-39	integer	0%	37	141635, 144933, 177053, 208178, 213720
`F_40_44`	Female population age 40-44	integer	0%	37	123887, 127108, 158412, 184017, 188699
`F_45_49`	Female population age 45-49	integer	0%	37	97610, 92749, 129162, 143100, 136964
`F_50_54`	Female population age 50-54	integer	0%	37	77767, 69384, 104876, 112877, 101060
`F_55_59`	Female population age 55-59	integer	0%	37	61276, 51324, 83101, 88878, 71923
`F_60_64`	Female population age 60-64	integer	0%	37	46916, 37052, 63042, 67018, 50301
`F_65_69`	Female population age 65-69	integer	0%	37	32666, 24332, 41126, 44334, 32415
`F_70_74`	Female population age 70-74	integer	0%	37	21709, 15293, 26113, 28022, 19949
`F_75_79`	Female population age 75-79	integer	0%	37	13090, 8936, 16391, 16156, 11319
`F_80Plus`	F_80Plus	integer	0%	37	10576, 7053, 11326, 12084, 8710
`M_00_04`	Male population age 0-4	integer	0%	37	332752, 418106, 311122, 442739, 780999
`M_05_09`	Male population age 5-9	integer	0%	37	274685, 350749, 297784, 386831, 685013
`M_10_14`	Male population age 10-14	integer	0%	37	228983, 317950, 275461, 364454, 606409
`M_15_19`	Male population age 15-19	integer	0%	37	160471, 264574, 225416, 243757, 453424
`M_20_24`	Male population age 20-24	integer	0%	37	156681, 230595, 219707, 228747, 375348
`M_25_29`	Male population age 25-29	integer	0%	37	168076, 184330, 222188, 244599, 286186
`M_30_34`	Male population age 30-34	integer	0%	37	155970, 149303, 201070, 226719, 221183
`M_35_39`	Male population age 35-39	integer	0%	37	128490, 123584, 164855, 187969, 168689
`M_40_44`	Male population age 40-44	integer	0%	37	105704, 103132, 135893, 155221, 135395
`M_45_49`	Male population age 45-49	integer	0%	37	78710, 84659, 102059, 115169, 116052
`M_50_54`	Male population age 50-54	integer	0%	37	63531, 68883, 82763, 92744, 96510
+23 more pending fields — download the CSV/Parquet to see them all.

NGA Google Community Mobility (2020-2022) NGA-GOOGLE-MOBILITY Mobility

37 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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1 Admin 1 — 1 table(s)

NGA Mobility by Region — 37 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	NG, NG, NG, NG, NG
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	NGA, NGA, NGA, NGA, NGA

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	37	-0.45, 9.46, 3.28, 3.91, 6.22
`grocery`	grocery	float	0%	35	-0.49, -0.0, 20.17, -3.35, 10.56
`parks`	parks	float	0%	33	5.31, 0.0, -17.98, -3.83, 44.38
`transit`	transit	float	0%	28	4.65, 0.0, -2.85, -3.34, -1.65
`workplaces`	workplaces	float	0%	37	8.54, 18.46, 9.96, 1.41, 24.23
`residential`	residential	float	0%	31	1.72, 1.48, 5.89, 5.05, 4.49
`region`	region	string	0%	37	Abia, Adamawa, Akwa Ibom, Anambra, Bauchi
`observation_count`	observation_count	integer	0%	36	6312, 4020, 4355, 8505, 2671

NGA OpenFactBook NGA-OPENFACTBOOK Country Profile

17 rows · 17 tables · 2024 OpenFactBook 0 1 2 3 99 SEL 3 CCL 629 ext ▶

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0 Admin 0 — 17 table(s)

NGA OpenFactBook - Communications — 1 rows, 21 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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	2023.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	71.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	39.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2023.0
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	112,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	112000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	165 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	165.0
`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	nearly 70 federal government-controlled national and...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	70.0
`internet_country_code_text`	Internet country code text	string	0%	1	.ng
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	39% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	117,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	117000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - Economy — 1 rows, 136 columns

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Field details — 141 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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	5700.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	187.76
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	40.1
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (135) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	largest African market economy; enormous but mostly...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.318 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	1.318
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.275 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	1.275
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.239 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	1.239
`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	3.4% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.4
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2.9% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.9
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	3.3% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	3.3
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$5,700 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$5,600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	5600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$5,600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	5600.0
`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	$187.76 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	33.2% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	33.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	24.7% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	24.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	18.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	18.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	20.4% (2024 est.)
+105 more extension fields — download the CSV/Parquet to see them all.

NGA OpenFactBook - Energy — 1 rows, 53 columns

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Field details — 53 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	60.5
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (49) — 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	60.5% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	89%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	89.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	27%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	27.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	4.094 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	4.094
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	34.135 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	34.135
`electricity_exports_text`	electricity_exports_text	string	0%	1	2.4 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	2.4
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	5.974 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	5.974
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	77.1% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	77.1
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.2
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	22.5% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	22.5
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.1
`coal_production_text`	coal_production_text	string	0%	1	1.322 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	1.322
`coal_consumption_text`	coal_consumption_text	string	0%	1	1.326 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	1.326
`coal_exports_text`	coal_exports_text	string	0%	1	17 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	17.0
`coal_imports_text`	coal_imports_text	string	0%	1	600 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	600.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	2.144 billion metric tons (2023 est.)
+19 more extension fields — download the CSV/Parquet to see them all.

NGA OpenFactBook - Environment — 1 rows, 52 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	76.2
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	19.1
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	54.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.92
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	27.615
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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	urban air and water pollution; rapid deforestation; soil...
`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	Tropical Timber 2006
`international_environmental_agreements_signed_but_not_ratified_numeric`	international_environmental_agreements_signed_but_not_ratified_numeric	float	0%	1	2006.0
`climate_text`	climate_text	string	0%	1	varies; equatorial in south, tropical in center, arid in north
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	76.2% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 40.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	40.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	8.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 27.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	27.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	19.1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	4.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	4.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	54.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.92% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	114.397 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	114.397
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	2.962 million 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	2.962
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	72.425 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	72.425
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	39.01 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	39.01
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	56 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	56.0
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	2,794.3 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	2794.3
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	1,991.9 kt (2019-2021 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

NGA 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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	Nigerian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Nigerian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Hausa 30%, Yoruba 15.5%, Igbo (Ibo) 15.2%, Fulani 6%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	30.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - Geography — 1 rows, 59 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	923768.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	910768.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	13000.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4477.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	853.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2419.0
`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	76.2
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	19.1
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	2188.0
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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	Western Africa, bordering the Gulf of Guinea, between...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	10 00 N, 8 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	10.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	923,768 sq km
`area_land_text`	area_land_text	string	0%	1	910,768 sq km
`area_water_text`	area_water_text	string	0%	1	13,000 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about six times the size of Georgia; slightly more than...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,477 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Benin 809 km; Cameroon 1,975 km; Chad 85 km; Niger 1,608 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	809.0
`coastline_text`	coastline_text	string	0%	1	853 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200-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	varies; equatorial in south, tropical in center, arid in north
`terrain_text`	terrain_text	string	0%	1	southern lowlands merge into central hills and plateaus;...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Chappal Waddi 2,419 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	380 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	380.0
`natural_resources_text`	natural_resources_text	string	0%	1	natural gas, petroleum, tin, iron ore, coal, limestone,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	76.2% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 40.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	40.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	8.1
+20 more extension fields — download the CSV/Parquet to see them all.

NGA OpenFactBook - Government — 1 rows, 95 columns

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Field details — 123 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	NGA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (121) — 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	Federal Republic of Nigeria
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Nigeria
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named for the Niger River that flows through the west of...
`government_type_text`	government_type_text	string	0%	1	federal presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Abuja
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	9 05 N, 7 32 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	9.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+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	the newly built city of Abuja replaced Lagos as the...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1991.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	36 states and 1 territory*; Abia, Adamawa, Akwa Ibom,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	36.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of English common law, Islamic law (in 12...
`legal_system_numeric`	legal_system_numeric	float	0%	1	12.0
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 5 May 1999, effective...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	5.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Assembly; passage requires at...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`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 Nigeria
`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	15 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	15.0
`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 Bola Ahmed Adekunle TINUBU (since 29 May 2023)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	29.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	President Bola Ahmed Adekunle TINUBU (since 29 May 2023)
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	29.0
+91 more extension fields — download the CSV/Parquet to see them all.

NGA 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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	In ancient and pre-colonial times, the area of...
`background_numeric`	background_numeric	float	0%	1	1914.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - Languages — 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_text`	languages_text	string	0%	1	English (official), Hausa, Yoruba, Igbo (Ibo), Fulani,...
`languages_numeric`	languages_numeric	float	0%	1	500.0
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - Migration — 1 rows, 9 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	127,131 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	127131.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	3,709,022 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	3709022.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - Military And Security — 1 rows, 22 columns

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Field details — 27 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — 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	Armed Forces of Nigeria (AFN): Nigerian Army, Nigerian...
`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)
`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	0.7% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.7
`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	0.6% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.6% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.6
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; estimated 140,000 active Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	140000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory consists primarily of imported...
`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 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_deployments_text`	military_deployments_text	string	0%	1	180 Sudan/South Sudan (UNISFA); 200 Gambia (ECOWAS); 150...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	180.0
`military_note_text`	military_note_text	string	0%	1	the Nigerian military is responsible for defending...
`military_note_numeric`	military_note_numeric	float	0%	1	70000.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - People And Society — 1 rows, 133 columns

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Field details — 145 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	244344065.0
`population_male_numeric`	Population male	float	SEL	0%	1	123511557.0
`population_female_numeric`	Population female	float	SEL	0%	1	120832508.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	40.4
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	56.2
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	3.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	78.0
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	72.2
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	5.9
`median_age_total_numeric`	Median age	float	SEL	0%	1	19.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	2.39
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	33.56
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	9.42
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.24
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	54.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.92
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.06
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.02
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	993.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	65.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	62.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.59
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.23
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.38
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	63.2
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (117) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	244,344,065 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	123,511,557
`population_female_text`	population_female_text	string	0%	1	120,832,508
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	40.4% (male 48,856,606/female 46,770,810)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	56.2% (male 66,897,900/female 66,187,584)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	3.4% (2024 est.) (male 3,759,943/female 4,274,287)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	78 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	72.2 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	5.9 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	17 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	17.0
`median_age_total_text`	median_age_total_text	string	0%	1	19.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	19.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	19.1
`median_age_female_text`	median_age_female_text	string	0%	1	19.6 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	19.6
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.39% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	33.56 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	9.42 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.24 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	largest population of any African nation; significant...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	54.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.92% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	15.946 million Lagos, 4.348 million Kano, 3.875 million...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	15.946
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.01 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.01
+87 more extension fields — download the CSV/Parquet to see them all.

NGA OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 22 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	53.5
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.6
`composition_ethnicity_primary_label_synth`	Hausa	string	CCL	0%	-	Hausa

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	Muslim 53.5%, Roman Catholic 10.6%, other Christian...
`religions_numeric`	religions_numeric	float	0%	1	53.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	10.6
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	35.3
`composition_ethnicity_hausa_pct_synth`	Hausa	numeric	0%	-	30.0
`composition_ethnicity_yoruba_pct_synth`	Yoruba	numeric	0%	-	15.5
`composition_ethnicity_igbo_ibo_pct_synth`	Igbo (Ibo)	numeric	0%	-	15.2
`composition_ethnicity_fulani_pct_synth`	Fulani	numeric	0%	-	6.0
`composition_ethnicity_tiv_pct_synth`	Tiv	numeric	0%	-	2.4
`composition_ethnicity_kanuri_beriberi_pct_synth`	Kanuri/Beriberi	numeric	0%	-	2.4
`composition_ethnicity_ibibio_pct_synth`	Ibibio	numeric	0%	-	1.8
`composition_ethnicity_ijaw_izon_pct_synth`	Ijaw/Izon	numeric	0%	-	1.8
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	24.9
`composition_ethnicity_primary_share_pct_synth`	Hausa	numeric	0%	-	30.0

NGA OpenFactBook - Space — 1 rows, 8 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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	National Space Research and Development Agency (NARSDA;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1999.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a national space program that focuses on acquiring...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2030.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	2003 - first remote sensing (RS) microsatellite...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	2003.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA 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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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	Boko Haram; Islamic State of Iraq and ash-Sham – West...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	africa/ni.json

NGA OpenFactBook - Transnational Issues — 1 rows, 6 columns

Loading data…

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	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`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 precursor-chemical producer (2025)
`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	africa/ni.json

NGA OpenFactBook - Transportation — 1 rows, 32 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	50.0
`country_code`	Country code	string	SEL	0%	1	NGA
`country_name`	Country name	string	SEL	0%	1	Nigeria
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	5N
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	5.0
`airports_text`	airports_text	string	0%	1	50 (2025)
`heliports_text`	heliports_text	string	0%	1	15 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	15.0
`railways_total_text`	railways_total_text	string	0%	1	3,798 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	3798.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	293 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	293.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	3,505 km (2014) 1.067-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	3505.0
`railways_note`	railways_note	string	0%	1	note: as of the end of 2018, there were only six...
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	928 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	928.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 23, oil tanker 128, other 777
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	23.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	28 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	28.0
`ports_large_text`	ports_large_text	float	0%	1	2
`ports_large_numeric`	ports_large_numeric	float	0%	1	2.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`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	24
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	24.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	23
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	23.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Antan Oil Terminal, Bonny, Lagos, Pennington Oil Terminal
`source_section`	source_section	string	0%	1	Transportation
+1 more extension field — download the CSV/Parquet to see them all.

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

7 rows · 2 tables · 2026 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)

NGA NGA GNS - Language — 6 rows, 9 columns

Loading data…

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	NGA, NGA, NGA, NGA, NGA
`gns_language_code`	gns_language_code	string	CCL	0%	6	eng, spa, fra, deu, ell
`gns_language_name`	gns_language_name	string	CCL	0%	6	English, Spanish, French, German, Greek, Modern (1453-)
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	10237, 4, 4, 2, 2
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	99.8732, 0.039, 0.039, 0.0195, 0.0195
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 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, 0

NGA NGA GNS - Summary — 1 rows, 29 columns

Loading data…

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	NGA
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Nigeria
`gns_language_count`	gns_language_count	integer	CCL	0%	1	6
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9977
`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	87394
`gns_feature_count`	gns_feature_count	integer	0%	1	73559
`gns_endonym_count`	gns_endonym_count	integer	0%	1	87392
`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	70988
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	61596
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	2301
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	1218
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	9089
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	6693
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	3392
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	2793
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	822
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	598
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	783
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	644
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	7
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	7
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	12
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	10

NGA INFORM Risk Index (EC-JRC) NGA-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 288 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

NGA Inform - Risk Index — 1 rows, 288 columns

Loading data…

Field details — 288 fields (type, nulls, unique, samples)

Pending (288) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	NGA
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	546011.371428571
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0285714285714286
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.232767610867354
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	910770.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.05
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.549535199647778
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	7.5
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	7.83684301376343
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	7.1
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	6.9
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	9.2
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.3
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	8.5
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	5.4
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	10.0
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	10.0
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	10.0
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.1
`inform_cc_inf_com`	Communication	float	0%	1	5.5
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	6.6
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	3.8
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	5.5
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	5.9
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	6.1
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	3.6
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.0
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	5.8
`inform_institutional_capacity`	Institutional	float	0%	1	7.2
`inform_cc_ins_gov`	Governance	float	0%	1	7.2
+258 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
English (eng)	10,237	99.9%	—
+ 5 further languages (13 names, each under 0.05%)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
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