Niger

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

342 rows · 4 table(s) · 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 Global Data Lab NER-GDL Development Indices

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

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

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

1 Admin 1 — 1 table(s)

NER GDL - Subnational Indices — 272 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	NER, NER, NER, NER, NER
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	8	Total, Agadez, Diffa, Dosso, Maradi
`human_development_index`	Human development index	float	SEL	0%	84	0.24, 0.402, 0.254, 0.238, 0.219
`health_index`	Health index	float	SEL	0%	85	0.334, 0.411, 0.345, 0.339, 0.372
`education_index`	Education index	float	SEL	0%	83	0.109, 0.32, 0.125, 0.109, 0.075
`income_index`	Income index	float	SEL	0%	54	0.379, 0.493, 0.378, 0.365, 0.378
`life_expectancy`	Life expectancy	float	SEL	0%	99	41.73, 46.74, 42.44, 42.06, 44.16
`mean_years_schooling`	Mean years schooling	float	SEL	0%	99	1.637, 5.63, 1.118, 1.378, 1.038

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	13	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

NER World Bank Open Data NER-WORLD_BANK Development Indicators

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

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

0 Admin 0 — 2 table(s)

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 UNHCR Refugee Data Finder NER-UNHCR Migration

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

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

0 Admin 0 — 2 table(s)

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

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

0 Admin 0 — 1 table(s)

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

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

Locality Locality — 1 table(s)

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

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

0 Admin 0 — 1 table(s)

NER Glottolog - Languages — 25 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	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%	-	-
`country_codes`	Country codes	string	SEL+	0%	19	['DZ', 'EH', 'LY', 'MA', 'NE'], ['NE'], ['ML', 'NE',...
`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 (3) — 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
`classification`	classification	string	0%	1	[], [], [], [], []

NER OpenFactBook NER-OPENFACTBOOK Country Profile

15 rows · 15 table(s) · 2024 OpenFactBook 0 1 2 3 96 SEL 3 CCL 555 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 (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	2022.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	66.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ne
`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 (14) — supplemental data preserved outside core SEL/CCL schema

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

Loading data…

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 (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	5U
`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 (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	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

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

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0 Admin 0 — 1 table(s)

NER D-PLACE - Dplace Ea Societies — 6 rows, 18 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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%	5	EA001:0; EA002:1; EA003:0; EA004:2; EA005:7, EA001:1;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	5	EA006:1; EA007:2; EA008:7; EA009:5; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	4	EA028:NA; EA029:NA; EA030:NA; EA031:NA; EA032:NA,...
`political_complexity`	Political complexity	string	CCL	0%	3	EA033:NA; EA034:NA; EA035:NA, EA033:3; EA034:4;...
`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	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,...

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

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

NER Afrobarometer NER-AFROBAROMETER Attitudes Values

5 rows · 5 table(s) · 2023 Afrobarometer 0 1 2 3 5 SEL 24 CCL 20 ext ▶

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0 Admin 0 — 5 table(s)

NER Afrobarometer - Economic Indicators — 1 rows, 9 columns

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Field details — 9 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
`economic_conditions`	Economic conditions	integer	CCL	0%	1	1
`living_conditions`	Living conditions	integer	CCL	0%	1	1
`employment_situation`	Employment situation	integer	CCL	0%	1	1
`food_insecurity`	Food insecurity	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

NER Afrobarometer - Gender Indicators — 1 rows, 9 columns

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Field details — 9 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
`women_equal_rights`	Women equal rights	integer	CCL	0%	1	1
`women_political_leaders`	Women political leaders	integer	CCL	0%	1	1
`women_land_rights`	Women land rights	integer	CCL	0%	1	1
`domestic_violence_justified`	Domestic violence justified	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

NER Afrobarometer - Governance Indicators — 1 rows, 13 columns

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Field details — 13 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
`trust_president`	Trust president	integer	CCL	0%	1	1
`trust_parliament`	Trust parliament	integer	CCL	0%	1	1
`trust_courts`	Trust courts	integer	CCL	0%	1	1
`trust_police`	Trust police	integer	CCL	0%	1	1
`trust_army`	Trust army	integer	CCL	0%	1	1
`corruption_perception`	Corruption perception	integer	CCL	0%	1	1
`democracy_satisfaction`	Democracy satisfaction	integer	CCL	0%	1	1
`democracy_preference`	Democracy preference	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

NER Afrobarometer - Migration Indicators — 1 rows, 8 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	NER
`emigration_considered`	Emigration considered	integer	CCL	0%	1	1
`immigration_attitude`	Immigration attitude	integer	CCL	0%	1	1
`foreign_workers_attitude`	Foreign workers attitude	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

NER Afrobarometer - Social Trust Indicators — 1 rows, 10 columns

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Field details — 10 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
`trust_relatives`	Trust relatives	integer	CCL	0%	1	1
`trust_neighbors`	Trust neighbors	integer	CCL	0%	1	1
`trust_other_ethnic`	Trust other ethnic	integer	CCL	0%	1	1
`trust_other_religion`	Trust other religion	integer	CCL	0%	1	1
`national_identity_vs_ethnic`	National identity vs ethnic	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

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

5 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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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 Global Organized Crime Index NER-OCINDEX Crime Index

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

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0 Admin 0 — 1 table(s)

NER Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 168 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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

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

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

Pending (133) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	NER
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	122
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	4
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	3
`oc_anti_money_laundering_2019`	oc_anti_money_laundering_2019	integer	0%	1	3
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	26
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	integer	0%	1	8
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	8
`oc_arms_trafficking_2019`	oc_arms_trafficking_2019	integer	0%	1	8
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	30
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	integer	0%	1	7
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	7
`oc_cannabis_trade_2019`	oc_cannabis_trade_2019	integer	0%	1	6
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	75
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	float	0%	1	6.5
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	6
`oc_cocaine_trade_2019`	oc_cocaine_trade_2019	integer	0%	1	5
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	60
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	5.7
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	6.13
`oc_criminal_actors_2019`	oc_criminal_actors_2019	float	0%	1	6.13
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	50
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	5.7
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	5.9
`oc_criminal_markets_2019`	oc_criminal_markets_2019	float	0%	1	5.35
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	34
+103 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
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
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Global Data Lab	academic	api
Afrobarometer	academic	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
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
NGA GEOnet Names Server (GNS)	official_government	bulk_download
World Bank Open Data	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