Niger

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

342 rows · 4 tables · 2024 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 20 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)

NER COD PS - NER Codps (admin_0) — 1 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%	1	NE
`region_name`	Region name	string	SEL	0%	1	Niger (the)
`F_TL`	Female population	integer	SEL	0%	1	13256258
`M_TL`	Male population	integer	SEL	0%	1	13111589
`T_TL`	Total population	integer	SEL	0%	1	26367847

Pending (53) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2024
`F_00_04`	Female population age 0-4	integer	0%	1	2530336
`F_05_09`	Female population age 5-9	integer	0%	1	2121517
`F_10_14`	Female population age 10-14	integer	0%	1	1779750
`F_15_19`	Female population age 15-19	integer	0%	1	1461932
`F_20_24`	Female population age 20-24	integer	0%	1	1166277
`F_25_29`	Female population age 25-29	integer	0%	1	915583
`F_30_34`	Female population age 30-34	integer	0%	1	714371
`F_35_39`	Female population age 35-39	integer	0%	1	575022
`F_40_44`	Female population age 40-44	integer	0%	1	482110
`F_45_49`	Female population age 45-49	integer	0%	1	390593
`F_50_54`	Female population age 50-54	integer	0%	1	314678
`F_55_59`	Female population age 55-59	integer	0%	1	256577
`F_60_64`	Female population age 60-64	integer	0%	1	199951
`F_65_69`	Female population age 65-69	integer	0%	1	145592
`F_70_74`	Female population age 70-74	integer	0%	1	98546
`F_75_79`	Female population age 75-79	integer	0%	1	63652
`F_80Plus`	F_80Plus	integer	0%	1	39771
`M_00_04`	Male population age 0-4	integer	0%	1	2566669
`M_05_09`	Male population age 5-9	integer	0%	1	2144133
`M_10_14`	Male population age 10-14	integer	0%	1	1794446
`M_15_19`	Male population age 15-19	integer	0%	1	1472954
`M_20_24`	Male population age 20-24	integer	0%	1	1175971
`M_25_29`	Male population age 25-29	integer	0%	1	925426
`M_30_34`	Male population age 30-34	integer	0%	1	717066
`M_35_39`	Male population age 35-39	integer	0%	1	533366
`M_40_44`	Male population age 40-44	integer	0%	1	395418
`M_45_49`	Male population age 45-49	integer	0%	1	348466
`M_50_54`	Male population age 50-54	integer	0%	1	282982
+23 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

NER COD PS - NER Codps (admin_1) — 8 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%	8	NE001, NE002, NE003, NE004, NE008
`region_name`	Region name	string	SEL	0%	8	Agadez, Diffa, Dosso, Maradi, Niamey
`F_TL`	Female population	integer	SEL	0%	8	346325, 425548, 1607142, 2677373, 749490
`M_TL`	Male population	integer	SEL	0%	8	368170, 447094, 1565965, 2601175, 742925
`T_TL`	Total population	integer	SEL	0%	8	714495, 872642, 3173107, 5278548, 1492415

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	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	8	65852, 80930, 305931, 512959, 142641
`F_05_09`	Female population age 5-9	integer	0%	8	55344, 68011, 257067, 428988, 119861
`F_10_14`	Female population age 10-14	integer	0%	8	46438, 57067, 215680, 360000, 100565
`F_15_19`	Female population age 15-19	integer	0%	8	38038, 46740, 176650, 296780, 82368
`F_20_24`	Female population age 20-24	integer	0%	8	30450, 37418, 141424, 235428, 65942
`F_25_29`	Female population age 25-29	integer	0%	8	23923, 29403, 111134, 184485, 51818
`F_30_34`	Female population age 30-34	integer	0%	8	18688, 22961, 86778, 143838, 40462
`F_35_39`	Female population age 35-39	integer	0%	8	15131, 18592, 70020, 115264, 32673
`F_40_44`	Female population age 40-44	integer	0%	8	12739, 15641, 58678, 96620, 27404
`F_45_49`	Female population age 45-49	integer	0%	8	10285, 12626, 47514, 78586, 22177
`F_50_54`	Female population age 50-54	integer	0%	8	8296, 10187, 38342, 62926, 17898
`F_55_59`	Female population age 55-59	integer	0%	8	6758, 8298, 31218, 51145, 14571
`F_60_64`	Female population age 60-64	integer	0%	8	5244, 6444, 24372, 40005, 11361
`F_65_69`	Female population age 65-69	integer	0%	8	3832, 4707, 17766, 29302, 8286
`F_70_74`	Female population age 70-74	integer	0%	8	2587, 3186, 12060, 19803, 5621
`F_75_79`	Female population age 75-79	integer	0%	8	1685, 2068, 7771, 12799, 3627
`F_80Plus`	F_80Plus	integer	0%	8	1035, 1269, 4737, 8445, 2215
`M_00_04`	Male population age 0-4	integer	0%	8	71829, 87228, 305509, 512035, 144938
`M_05_09`	Male population age 5-9	integer	0%	8	60126, 73012, 255721, 426699, 121320
`M_10_14`	Male population age 10-14	integer	0%	8	50322, 61113, 214043, 356979, 101550
`M_15_19`	Male population age 15-19	integer	0%	8	41195, 50027, 175213, 294235, 83125
`M_20_24`	Male population age 20-24	integer	0%	8	33035, 40120, 140519, 233121, 66667
`M_25_29`	Male population age 25-29	integer	0%	8	26079, 31672, 110919, 182074, 52624
`M_30_34`	Male population age 30-34	integer	0%	8	20237, 24580, 86092, 140507, 40839
`M_35_39`	Male population age 35-39	integer	0%	8	15030, 18248, 63933, 104531, 30326
`M_40_44`	Male population age 40-44	integer	0%	8	11104, 13484, 47231, 78045, 22408
`M_45_49`	Male population age 45-49	integer	0%	8	9822, 11926, 41768, 68650, 19816
`M_50_54`	Male population age 50-54	integer	0%	8	7994, 9708, 33999, 55655, 16129
+23 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

NER COD PS - NER Codps (admin_2) — 67 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%	67	NE001001, NE001002, NE001003, NE001004, NE001005
`region_name`	Region name	string	SEL	0%	67	Aderbissinat, Arlit, Bilma, Iferouane, Ingall
`F_TL`	Female population	integer	SEL	0%	67	25085, 74598, 12728, 23248, 36866
`M_TL`	Male population	integer	SEL	0%	67	26669, 79293, 13548, 24707, 39185
`T_TL`	Total population	integer	SEL	0%	67	51754, 153891, 26276, 47955, 76051

Pending (53) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	67	4771, 14183, 2419, 4418, 7010
`F_05_09`	Female population age 5-9	integer	0%	67	4008, 11920, 2035, 3715, 5891
`F_10_14`	Female population age 10-14	integer	0%	67	3363, 10004, 1708, 3115, 4944
`F_15_19`	Female population age 15-19	integer	0%	67	2756, 8195, 1399, 2553, 4047
`F_20_24`	Female population age 20-24	integer	0%	67	2206, 6558, 1120, 2045, 3241
`F_25_29`	Female population age 25-29	integer	0%	67	1733, 5154, 879, 1604, 2546
`F_30_34`	Female population age 30-34	integer	0%	67	1355, 4025, 688, 1255, 1990
`F_35_39`	Female population age 35-39	integer	0%	67	1096, 3261, 554, 1015, 1610
`F_40_44`	Female population age 40-44	integer	0%	67	921, 2742, 466, 856, 1357
`F_45_49`	Female population age 45-49	integer	0%	67	745, 2215, 380, 693, 1093
`F_50_54`	Female population age 50-54	integer	0%	67	601, 1787, 303, 557, 885
`F_55_59`	Female population age 55-59	integer	0%	67	489, 1456, 249, 453, 720
`F_60_64`	Female population age 60-64	integer	0%	67	380, 1128, 193, 354, 558
`F_65_69`	Female population age 65-69	integer	0%	66	277, 827, 140, 258, 408
`F_70_74`	Female population age 70-74	integer	0%	67	187, 558, 96, 174, 275
`F_75_79`	Female population age 75-79	integer	0%	64	122, 363, 61, 113, 181
`F_80Plus`	F_80Plus	integer	0%	66	75, 222, 38, 70, 110
`M_00_04`	Male population age 0-4	integer	0%	67	5202, 15470, 2646, 4822, 7645
`M_05_09`	Male population age 5-9	integer	0%	67	4356, 12950, 2213, 4036, 6400
`M_10_14`	Male population age 10-14	integer	0%	67	3645, 10837, 1850, 3380, 5355
`M_15_19`	Male population age 15-19	integer	0%	67	2984, 8873, 1515, 2765, 4386
`M_20_24`	Male population age 20-24	integer	0%	67	2392, 7115, 1215, 2216, 3517
`M_25_29`	Male population age 25-29	integer	0%	67	1889, 5617, 959, 1751, 2776
`M_30_34`	Male population age 30-34	integer	0%	67	1466, 4359, 744, 1358, 2153
`M_35_39`	Male population age 35-39	integer	0%	67	1089, 3236, 555, 1009, 1600
`M_40_44`	Male population age 40-44	integer	0%	67	805, 2392, 409, 744, 1181
`M_45_49`	Male population age 45-49	integer	0%	66	711, 2116, 361, 657, 1047
`M_50_54`	Male population age 50-54	integer	0%	67	579, 1721, 295, 536, 850
+23 more pending fields — download the CSV/Parquet to see them all.

3 Admin 3 — 1 table(s)

NER COD PS - NER Codps (admin_3) — 266 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%	100	NE001001001, NE001002001, NE001002002, NE001002003, NE001003001
`region_name`	Region name	string	SEL	0%	99	Aderbissinat, Arlit, Dannet, Gougaram, Bilma
`F_TL`	Female population	integer	SEL	0%	100	25085, 56631, 10626, 7341, 3129
`M_TL`	Male population	integer	SEL	0%	100	26669, 60192, 11301, 7800, 3329
`T_TL`	Total population	integer	SEL	0%	100	51754, 116823, 21927, 15141, 6458

Pending (53) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`year`	Reference year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	99	4771, 10767, 2021, 1395, 594
`F_05_09`	Female population age 5-9	integer	0%	100	4008, 9050, 1698, 1172, 502
`F_10_14`	Female population age 10-14	integer	0%	99	3363, 7594, 1424, 986, 420
`F_15_19`	Female population age 15-19	integer	0%	98	2756, 6218, 1169, 808, 344
`F_20_24`	Female population age 20-24	integer	0%	99	2206, 4978, 934, 646, 276
`F_25_29`	Female population age 25-29	integer	0%	98	1733, 3912, 734, 508, 216
`F_30_34`	Female population age 30-34	integer	0%	100	1355, 3056, 573, 396, 167
`F_35_39`	Female population age 35-39	integer	0%	100	1096, 2476, 464, 321, 136
`F_40_44`	Female population age 40-44	integer	0%	99	921, 2082, 391, 269, 115
`F_45_49`	Female population age 45-49	integer	0%	99	745, 1681, 316, 218, 93
`F_50_54`	Female population age 50-54	integer	0%	99	601, 1357, 254, 176, 75
`F_55_59`	Female population age 55-59	integer	0%	97	489, 1106, 207, 143, 61
`F_60_64`	Female population age 60-64	integer	0%	96	380, 857, 160, 111, 48
`F_65_69`	Female population age 65-69	integer	0%	95	277, 628, 118, 81, 33
`F_70_74`	Female population age 70-74	integer	0%	94	187, 424, 81, 53, 24
`F_75_79`	Female population age 75-79	integer	0%	90	122, 276, 51, 36, 15
`F_80Plus`	F_80Plus	integer	0%	84	75, 169, 31, 22, 10
`M_00_04`	Male population age 0-4	integer	0%	100	5202, 11743, 2204, 1523, 651
`M_05_09`	Male population age 5-9	integer	0%	100	4356, 9829, 1846, 1275, 543
`M_10_14`	Male population age 10-14	integer	0%	100	3645, 8227, 1545, 1065, 455
`M_15_19`	Male population age 15-19	integer	0%	100	2984, 6736, 1264, 873, 372
`M_20_24`	Male population age 20-24	integer	0%	100	2392, 5402, 1013, 700, 298
`M_25_29`	Male population age 25-29	integer	0%	100	1889, 4264, 801, 552, 236
`M_30_34`	Male population age 30-34	integer	0%	99	1466, 3309, 621, 429, 185
`M_35_39`	Male population age 35-39	integer	0%	99	1089, 2456, 462, 318, 136
`M_40_44`	Male population age 40-44	integer	0%	99	805, 1816, 341, 235, 100
`M_45_49`	Male population age 45-49	integer	0%	98	711, 1606, 302, 208, 88
`M_50_54`	Male population age 50-54	integer	0%	97	579, 1306, 246, 169, 72
+23 more pending fields — download the CSV/Parquet to see them all.

NER World Bank Open Data NER-WORLD_BANK Development Indicators

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

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

0 Admin 0 — 3 table(s)

NER 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	NE, NE, NE, NE, NE
`population_count`	Population count	float	SEL	2%	65	3505050.0, 3608162.0, 3714520.0, 3823873.0, 3935814.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	36.193, 36.287, 36.319, 36.437, 36.464
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	128.251201351162, 134.635094261008, 143.150824130834,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	91%	6	14.3800001144409, 28.6700000762939, 30.5599994659424,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	14%	55	318.6, 322.9, 327.4, 331.8, 335.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	2	40.8, 41.2

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

NER 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	NE, NE, NE, NE, NE
`life_expectancy`	Life expectancy	float	SEL	3%	64	36.193, 36.287, 36.319, 36.437, 36.464
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	17%	44	59.8, 60.4, 60.9, 61.4, 61.8
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	14%	55	318.6, 322.9, 327.4, 331.8, 335.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	38	1137.0, 1107.0, 1074.0, 1040.0, 1010.0
`fertility_rate`	Fertility rate	float	SEL	3%	62	7.53, 7.512, 7.501, 7.489, 7.48
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	57.613, 57.41, 57.242, 57.026, 56.76
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	27.633, 27.563, 27.553, 27.456, 27.443
`physicians_per_1000`	Physicians per 1000	float	SEL	61%	19	0.011, 0.016, 0.017, 0.016, 0.025
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	73%	15	0.409490883350372, 0.494700014591217, 0.495299994945526,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	33	6.0, 6.0, 5.0, 5.0, 4.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.65891504, 4.72659349, 4.82717037, 4.74740648, 4.97818327

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

NER 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	NER, NER, NER, NER, NER
`country_name`	country_name	string	0%	1	Niger, Niger, Niger, Niger, Niger
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	115464.0, 145999.0, 122260.0, 124509.0, 126482.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	7	1.4, 1.5, 1.1, 0.9, 0.8
`net_migration`	net_migration	float	0%	60	-3641.0, -2893.0, -2369.0, -2289.0, -2289.0
`remittances_received_usd`	remittances_received_usd	float	23%	51	4291566.372, 7787678.719, 6290005.684, 6447419.643, 8486373.901
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	23%	51	0.418225432687536, 0.742609521297205, 0.590878504627467,...
`remittances_paid_usd`	remittances_paid_usd	float	23%	51	17569248.2, 20334753.04, 20225946.43, 21849588.39, 34011966.71

NER UNHCR Refugee Data Finder NER-UNHCR Migration

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

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

0 Admin 0 — 2 table(s)

NER UNHCR - Hosted Populations — 37 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%	-	-

NER UNHCR - Origin Populations — 34 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%	-	-

NER USAID DHS Program NER-DHS Health Surveys

62 rows · 2 tables · 2021 USAID DHS Program 0 1 2 3 7 SEL 3 CCL 10 ext ▶

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

1 Admin 1 — 2 table(s)

NER DHS - Ethnicity Indicators — 30 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%	27	22.2, 29.0, 39.7, 10.7, 10.0
`men_who_are_literate`	Men who are literate	float	CCL	33%	19	47.3, 58.6, 26.6, 19.2, 20.7

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	Niger, Niger, Niger, Niger, Niger
`survey_year`	survey_year	integer	0%	3	2006, 2012, 2021, 2006, 2012
`region`	region	string	0%	10	..Agadez, ..Agadez, ..Agadez, ..Diffa, ..Diffa
`survey_id`	survey_id	string	0%	3	NI2006DHS, NI2012DHS, NI2021MIS, NI2006DHS, NI2012DHS
`survey_type`	survey_type	string	0%	2	DHS, DHS, MIS, DHS, DHS

NER DHS - Health Indicators — 32 rows, 12 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	27	6.8, 13.7, 0.9, 10.3, 4.8
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	29	53.0, 29.0, 63.0, 18.0, 91.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	32	111.0, 51.0, 120.0, 41.0, 214.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	31	52.5, 65.7, 28.6, 41.8, 30.2
`children_underweight`	Children underweight	float	CCL	0%	28	24.8, 21.2, 40.8, 58.7, 35.3
`hiv_prevalence_pct`	Hiv prevalence percent	float	SEL	38%	11	1.6, 0.5, 1.7, 0.7, 1.0

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	Niger, Niger, Niger, Niger, Niger
`survey_year`	survey_year	integer	0%	4	2006, 2012, 2006, 2012, 2006
`region`	region	string	0%	10	..Agadez, ..Agadez, ..Diffa, ..Diffa, ..Tahoua
`survey_id`	survey_id	string	0%	4	NI2006DHS, NI2012DHS, NI2006DHS, NI2012DHS, NI2006DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

NER LandScan Global (ORNL) NER-LANDSCAN Modeled Population

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

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

0 Admin 0 — 1 table(s)

NER 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	NER
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Niger
`admin_code`	Admin code	string	SEL	0%	1	22259449B93083360167036
`area_sqkm`	Area sqkm	float	SEL	0%	1	1181740.443
`pop_2024`	Population count	integer	SEL	0%	1	26231803
`pop_density_2024`	Population density	float	SEL	0%	1	22.2

1 Admin 1 — 1 table(s)

NER LandScan - Population Admin1 (admin_1) — 6 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	NER, NER, NER, NER, NER
`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%	6	Zinder/Diffa, Tahoua/Agadez, Maradi, Tillaberi, Dossa
`admin_code`	Admin code	string	SEL	0%	6	87150794B17606801029036, 87150794B58281898249288,...
`area_sqkm`	Area sqkm	float	SEL	0%	6	293976.8208, 723318.515, 39392.4629, 90952.5966, 31887.3046
`pop_2024`	Population count	integer	SEL	0%	6	6068504, 6023137, 5041035, 4435048, 3293252
`pop_density_2024`	Population density	float	SEL	0%	6	20.64, 8.33, 127.97, 48.76, 103.28

Locality Locality — 1 table(s)

NER LandScan - Cities (locality) — 33 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	NER, NER, NER, NER, NER
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	33	Niamey, Maradi, Tahoua, Birni N'Konni, Zinder
`admin_code`	Admin code	integer	SEL	0%	33	548, 2115, 1187, 1395, 2883
`area_sqkm`	Area sqkm	float	SEL	0%	31	220.6754, 65.6061, 30.8197, 12.9228, 45.727
`pop_2024`	Population count	integer	SEL	0%	33	1409130, 248017, 182013, 163519, 141167
`pop_density_2024`	Population density	float	SEL	0%	33	6385.53, 3780.4, 5905.74, 12653.53, 3087.17

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%	33	1600656, 673215, 369905, 181092, 748965
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	33	0.88, 0.368, 0.492, 0.903, 0.188

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

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

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

Locality Locality — 1 table(s)

NER GHS-UCDB - Cities (locality) — 33 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%	33	Niamey, Zinder, Maradi, Tahoua, Agadez
`country_code`	Country code	string	SEL	0%	1	NER, NER, NER, NER, NER
`population`	Population count	integer	SEL	0%	33	1600656, 748965, 673215, 369905, 360388

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	33	548, 2883, 2115, 1187, 2496
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Niger, Niger, Niger, Niger, Niger
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

NER Glottolog Language Catalog NER-GLOTTOLOG Language

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

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

0 Admin 0 — 1 table(s)

NER Glottolog - Languages — 25 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%	25	alge1240, bilm1238, cent2018, cent2050, chad1249
`name`	Name	string	CCL	0%	25	Algerian Saharan Arabic, Bilma-Mowar Kanuri,...
`iso639_3`	Iso639 3	string	CCL	0%	25	aao, bms, fuq, knc, shu
`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%	4	afro1255, saha1256, atla1278, saha1256, afro1255
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	18	magh1239, east2718, fula1265, east2718, suda1235
`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%	9	0, 7, 2, 8, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	25	20.8884, 19.1, 15.0907, 11.8, 14.67
`longitude`	longitude	float	0%	25	4.80626, 13.0665, 8.43261, 13.13, 13.5
`country_codes`	Country codes	string	0%	19	['DZ', 'EH', 'LY', 'MA', 'NE'], ['NE'], ['ML', 'NE',...
`classification`	classification	string	0%	1	[], [], [], [], []

NER OpenFactBook NER-OPENFACTBOOK Country Profile

15 rows · 15 tables · 2024 OpenFactBook 0 1 2 3 94 SEL 3 CCL 557 ext ▶

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

0 Admin 0 — 15 table(s)

NER 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	2022.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	66.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	23.0
`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	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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	58,000 (2021 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	58000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2022 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	17.2 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	17.2
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	66 (2023 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-run TV station; 3 private TV stations provide a...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	3.0
`internet_country_code_text`	Internet country code text	string	0%	1	.ne
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	23% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	14,000 (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	14000.0
`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/ng.json

NER OpenFactBook - Economy — 1 rows, 138 columns

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Field details — 144 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	1800.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	19.538
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	45.5
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (138) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	low-income Sahel economy; major instability 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	$47.921 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	47.921
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$44.199 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	44.199
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$43.474 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	43.474
`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	8.4% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	8.4
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	1.7% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	1.7
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	11.9% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	11.9
`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	$1,800 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$1,700 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	1700.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$1,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	1700.0
`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	$19.538 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	9.1% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	9.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	3.7% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	3.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	4.2% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	4.2
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+108 more extension fields — download the CSV/Parquet to see them all.

NER OpenFactBook - Energy — 1 rows, 43 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	19.5
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	19.5% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	66.1%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	66.1
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	7.7%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	7.7
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	377,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	377000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	1.645 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	1.645
`electricity_imports_text`	electricity_imports_text	string	0%	1	1.213 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	1.213
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	372.245 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	372.245
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	97% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	97.0
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	3% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	3.0
`coal_production_text`	coal_production_text	string	0%	1	427,000 metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	427000.0
`coal_consumption_text`	coal_consumption_text	string	0%	1	426,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	426000.0
`coal_imports_text`	coal_imports_text	string	0%	1	400 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	400.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	90 million metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	90.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	13,000 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	13000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	18,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	18000.0
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	150 million barrels (2021 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

NER 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	36.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	0.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	17.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.72
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.866
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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	overgrazing; soil erosion; deforestation;...
`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	none of the selected agreements
`climate_text`	climate_text	string	0%	1	desert; mostly hot, dry, dusty; tropical in extreme south
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	36.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.0
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 22.7% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	22.7
`land_use_forest_text`	land_use_forest_text	string	0%	1	0.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	62.4% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	62.4
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	17.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.72% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	3.132 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	3.132
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	622,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	622000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	2.457 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	2.457
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	52,000 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	52000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	59.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	59.5
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	137.8 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	137.8
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	713.8 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	713.8
+17 more extension fields — download the CSV/Parquet to see them all.

NER 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	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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	Nigerien(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Nigerien
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Hausa 53.1%, Zarma/Songhai 21.2%, Tuareg 11%, Fulani...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	53.1
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

NER OpenFactBook - Geography — 1 rows, 54 columns

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Field details — 58 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	1.267
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1266700.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	300.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	5834.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2022.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	200.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	36.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	0.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	2881.0
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (45) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Western Africa, southeast of Algeria
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	16 00 N, 8 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	16.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	1.267 million sq km
`area_land_text`	area_land_text	string	0%	1	1,266,700 sq km
`area_water_text`	area_water_text	string	0%	1	300 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than twice the size of Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	5,834 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Algeria 951 km; Benin 277 km; Burkina Faso 622 km; Chad...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	951.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	desert; mostly hot, dry, dusty; tropical in extreme south
`terrain_text`	terrain_text	string	0%	1	predominately desert plains and sand dunes; flat to...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Idoukal-n-Taghes 2,022 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Niger River 200 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	474 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	474.0
`natural_resources_text`	natural_resources_text	string	0%	1	uranium, coal, iron ore, tin, phosphates, gold,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	36.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.0
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 22.7% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	22.7
`land_use_forest_text`	land_use_forest_text	string	0%	1	0.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	62.4% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	62.4
+15 more extension fields — download the CSV/Parquet to see them all.

NER OpenFactBook - Government — 1 rows, 77 columns

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Field details — 103 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	NER
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (101) — 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 Niger
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Niger
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	République du Niger
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Niger
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named for the Niger River that passes through the...
`country_name_note`	country_name_note	string	0%	1	note: pronounced nee-ZHAIR
`government_type_text`	government_type_text	string	0%	1	formerly, semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Niamey
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	13 31 N, 2 07 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	13.0
`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 origin of the name is unclear; one of many stories...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	7 regions (régions, singular - région) and 1 capital...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	7.0
`legal_system_text`	legal_system_text	string	0%	1	note: following the 26 July 2023 military coup, the...
`legal_system_numeric`	legal_system_numeric	float	0%	1	26.0
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; passed by referendum 31 October 2010,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	31.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	formerly proposed by the president of the republic or...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	2010.0
`constitution_note`	constitution_note	string	0%	1	note: on 26 July 2023, the National Council for the...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Niger
`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	unknown
`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 of the National Council for the Safeguard of...
+71 more extension fields — download the CSV/Parquet to see them all.

NER 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	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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	Nomadic peoples from the Saharan north and...
`background_numeric`	background_numeric	float	0%	1	14.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

NER OpenFactBook - Languages — 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	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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
`languages_text`	languages_text	string	0%	1	Hausa, Zarma, French (official), Fufulde, Tamashek,...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

NER OpenFactBook - Migration — 1 rows, 10 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	421,795 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	421795.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	891,565 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	891565.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 2 Watch List — the government did not demonstrate...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	2.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

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

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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	Nigerien Armed Forces (Forces Armees Nigeriennes, FAN):...
`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	2.2% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.2
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.7% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.7
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.8% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.8
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	2% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	2.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 50,000 active Armed Forces, including...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	50000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the FAN's inventory is comprised of 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 is the legal minimum age for selective compulsory or...
`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 military of Niger is responsible for territorial...
`military_note_numeric`	military_note_numeric	float	0%	1	2023.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

NER OpenFactBook - People And Society — 1 rows, 134 columns

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Field details — 146 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	27322555.0
`population_male_numeric`	Population male	float	SEL	0%	1	13542629.0
`population_female_numeric`	Population female	float	SEL	0%	1	13779926.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	49.5
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	47.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	2.7
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	108.2
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	102.6
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	5.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	15.3
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	3.65
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	46.29
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	9.24
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.57
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	17.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.72
`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	0.98
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	350.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	63.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	60.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	6.55
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	3.23
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.04
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.3
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	35.6
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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	27,322,555 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	13,542,629
`population_female_text`	population_female_text	string	0%	1	13,779,926
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	49.5% (male 6,567,460/female 6,463,877)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	47.8% (male 6,146,355/female 6,451,574)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	2.7% (2024 est.) (male 342,388/female 371,130)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	108.2 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	102.6 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	5.7 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	17.7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	17.7
`median_age_total_text`	median_age_total_text	string	0%	1	15.3 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	14.9 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	14.9
`median_age_female_text`	median_age_female_text	string	0%	1	15.6 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	15.6
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	3.65% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	46.29 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	9.24 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.57 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	majority of the populace is located in the southernmost...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	17.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.72% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.437 million NIAMEY (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.437
`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	1.02 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.02
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.95 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.95
+87 more extension fields — download the CSV/Parquet to see them all.

NER 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	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	95.5
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	0.3
`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 95.5%, ethnic religionist 4.1%, Christian 0.3%,...
`religions_numeric`	religions_numeric	float	0%	1	95.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_ethnic_religionist_pct_synth`	ethnic religionist	numeric	0%	-	4.1
`composition_religion_agnostics_and_other_pct_synth`	agnostics and other	numeric	0%	-	0.1
`composition_ethnicity_hausa_pct_synth`	Hausa	numeric	0%	-	53.1
`composition_ethnicity_zarma_songhai_pct_synth`	Zarma/Songhai	numeric	0%	-	21.2
`composition_ethnicity_tuareg_pct_synth`	Tuareg	numeric	0%	-	11.0
`composition_ethnicity_fulani_peuhl_pct_synth`	Fulani (Peuhl)	numeric	0%	-	6.5
`composition_ethnicity_kanuri_pct_synth`	Kanuri	numeric	0%	-	5.9
`composition_ethnicity_gurma_pct_synth`	Gurma	numeric	0%	-	0.8
`composition_ethnicity_arab_pct_synth`	Arab	numeric	0%	-	0.4
`composition_ethnicity_tubu_pct_synth`	Tubu	numeric	0%	-	0.4
`composition_ethnicity_other_unavailable_pct_synth`	other/unavailable	numeric	0%	-	0.9
`composition_ethnicity_primary_share_pct_synth`	Hausa	numeric	0%	-	53.1

NER 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	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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 in the...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

NER OpenFactBook - Transportation — 1 rows, 9 columns

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Field details — 9 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	26.0
`country_code`	Country code	string	SEL	0%	1	NER
`country_name`	Country name	string	SEL	0%	1	Niger
`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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	5U
`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	26 (2025)
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/ng.json

NER D-PLACE NER-DPLACE Ethnographic Societies

12 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 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)

NER D-PLACE - Dplace Ea Societies — 6 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	NER, NER, NER, NER, NER
`society_id`	Society id	string	CCL	0%	6	Af31, Ag25, Ah25, Cb20, Cb25
`society_name`	Society name	string	CCL	0%	6	Koro, Soninke, Tigon, Zerma, Tazarawa Hausa
`language_glottocode`	Language glottocode	string	CCL	0%	6	ashe1269, soni1259, tigo1236, zarm1239, arew1238
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	4	EA017:4; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	6	EA006:1; EA007:2; EA008:7; EA009:5; EA023:NA; EA025:NA,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	6	EA001:0; EA002:1; EA003:0; EA004:2; EA005:7; EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	3	EA032:NA; EA033:NA, EA032:3; EA033:3, EA032:3; EA033:1,...
`religion_importance`	Religion importance	string	CCL	0%	2	EA034:NA; EA112:NA, EA034:4; EA112:NA, EA034:NA;...
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	3	EA030:NA; EA031:NA, EA030:7; EA031:NA, EA030:7;...

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	Niger, Niger, Niger, Niger, Niger
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	5	18.0, 15.0, 17.0, 13.0, 14.0
`longitude`	longitude	float	0%	4	8.0, 10.0, 11.0, 3.0, 8.0
`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

NER D-PLACE - Dplace Ea Societies Decoded — 6 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	NER, NER, NER, NER, NER
`society_id`	society_id	string	CCL	0%	6	Af31, Ag25, Ah25, Cb20, Cb25
`society_name`	society_name	string	CCL	0%	6	Koro, Soninke, Tigon, Zerma, Tazarawa Hausa
`language_glottocode`	language_glottocode	string	CCL	0%	6	ashe1269, soni1259, tigo1236, zarm1239, arew1238
`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	Niger, Niger, Niger, Niger, Niger
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	5	18.0, 15.0, 17.0, 13.0, 14.0
`longitude`	longitude	float	0%	4	8.0, 10.0, 11.0, 3.0, 8.0
`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	17%	1	3, 3, 3, 3, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	17%	2	3, 1, 3, 3, 3
`religion_high_gods`	religion_high_gods	integer	33%	1	4, 4, 4, 4
`trance_states`	trance_states	string	100%	-	-
`settlement_patterns`	settlement_patterns	integer	17%	2	7, 7, 7, 7, 2
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	83%	1	2
`marital_residence_first_years`	marital_residence_first_years	integer	17%	2	8, 8, 8, 8, 10
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	17%	1	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	17%	2	8, 8, 8, 8, 10
`residence_transfer_alternate`	residence_transfer_alternate	integer	17%	1	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	17%	2	11, 11, 11, 11, 1
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	4, 4, 4, 3, 3
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	2	3, 1, 3, 1, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	9, 9, 9, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	83%	1	5
`descent_major_type`	descent_major_type	integer	0%	2	1, 1, 1, 1, 1
+14 more extension fields — download the CSV/Parquet to see them all.

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

5 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)

NER 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	NER, NER, NER, NER
`gns_language_code`	gns_language_code	string	CCL	0%	4	fra, ara, eng, fas
`gns_language_name`	gns_language_name	string	CCL	0%	4	French, Arabic, English, Persian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	125, 11, 4, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	88.6525, 7.8014, 2.8369, 0.7092
`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

NER NGA GNS - Summary — 1 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	NER
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Niger
`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	99.9871
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	1

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	30894
`gns_feature_count`	gns_feature_count	integer	0%	1	24007
`gns_endonym_count`	gns_endonym_count	integer	0%	1	30890
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`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_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	153
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	49
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	16852
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	12822
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	9151
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	7252
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	361
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	313
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	3294
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	2621
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1003
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	878
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	78
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	70
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	2
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	2

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

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

1 rows × 289 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

NER Inform - Risk Index — 1 rows, 289 columns

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Field details — 289 fields (type, nulls, unique, samples)

Pending (289) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	NER
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	837499.6
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.257142857142857
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	2.85680320805338
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	1266700.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.1
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.490465498671423
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	7.3
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	3.29647445678711
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	7.8
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	8.1
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	6.6
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.9
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	2.7
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	2.2
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	3.7
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	2.2
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	3.9
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.9
`inform_cc_inf_com`	Communication	float	0%	1	8.3
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	7.1
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	7.9
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	9.6
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	8.4
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	9.4
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	9.3
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.7
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	9.3
`inform_institutional_capacity`	Institutional	float	0%	1	7.5
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	8.3
+259 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

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Language	Place names	Share*	Script
French (fra)	125	88.7%	—
Arabic (ara)	11	7.8%	—
English (eng)	4	2.8%	—
Persian (fas)	1	0.7%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
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