| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN, BEN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 7 | Total, Atacora (incl Donga), Atlantique (incl Littoral... |
human_development_index |
Human development index | float | SEL | 0% | 86 | 0.399, 0.34, 0.516, 0.336, 0.369 |
health_index |
Health index | float | SEL | 0% | 60 | 0.508, 0.491, 0.52, 0.52, 0.503 |
education_index |
Education index | float | SEL | 0% | 86 | 0.267, 0.182, 0.496, 0.162, 0.224 |
income_index |
Income index | float | SEL | 0% | 62 | 0.469, 0.439, 0.533, 0.45, 0.447 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 53.02, 51.9, 53.81, 53.78, 52.69 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 4.012, 2.201, 9.171, 2.27, 2.522 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 15 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BJ, BJ, BJ, BJ, BJ |
population_count |
Population count | float | SEL | 2% | 65 | 2517286.0, 2559223.0, 2604659.0, 2652908.0, 2704003.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 38.775, 39.233, 39.643, 40.081, 40.502 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 89.8569246539715, 92.085848129765, 90.7738610077473,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 86% | 9 | 16.4799995422363, 27.25, 34.6599998474121,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 312.0, 307.1, 301.9, 296.3, 290.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 86% | 8 | 29.0, 39.0, 37.5, 33.0, 35.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Benin, Benin, Benin, Benin, Benin |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BJ, BJ, BJ, BJ, BJ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 38.775, 39.233, 39.643, 40.081, 40.502 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 64 | 64.3, 64.0, 63.5, 63.0, 62.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 312.0, 307.1, 301.9, 296.3, 290.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 35 | 910.0, 858.0, 817.0, 765.0, 732.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 6.282, 6.402, 6.457, 6.51, 6.565 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 45.759, 46.737, 47.113, 47.392, 47.62 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 28.056, 27.654, 27.278, 26.843, 26.41 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 64% | 21 | 0.04, 0.03, 0.034, 0.059, 0.059 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 67% | 17 | 1.22574877738953, 1.15489995479584, 1.46490001678467,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 39% | 20 | 17.0, 17.0, 25.0, 30.0, 48.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.9591713, 3.30417323, 3.09589195, 3.11678505, 3.23273873 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Benin, Benin, Benin, Benin, Benin |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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% | 57 | 6.6, 8.4, 13.6, 16.1, 16.6 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 60 | 23.1, 14.0, 39.0, 41.6, 39.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Benin, Benin, Benin, Benin, Benin |
survey_year |
survey_year | integer | 0% | 4 | 2006, 2012, 2017, 2006, 2012 |
region |
region | string | 0% | 18 | ..Alibori, ..Alibori, ..Alibori, ..Atacora, ..Atacora |
survey_id |
survey_id | string | 0% | 4 | BJ2006DHS, BJ2012DHS, BJ2017DHS, BJ2006DHS, BJ2012DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 54 | 4.0, 7.3, 13.3, 5.9, 7.8 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 49 | 86.0, 58.0, 53.0, 93.0, 38.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 55 | 164.0, 111.0, 98.0, 176.0, 67.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 61 | 42.6, 26.3, 47.2, 49.7, 59.5 |
children_underweight |
Children underweight | float | CCL | 27% | 43 | 30.2, 19.4, 30.1, 18.8, 18.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Benin, Benin, Benin, Benin, Benin |
survey_year |
survey_year | integer | 0% | 5 | 2006, 2012, 2017, 2006, 2012 |
region |
region | string | 0% | 18 | ..Alibori, ..Alibori, ..Alibori, ..Atacora, ..Atacora |
survey_id |
survey_id | string | 0% | 5 | BJ2006DHS, BJ2012DHS, BJ2017DHS, BJ2006DHS, BJ2012DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | BJ |
region_name |
Region name | string | SEL | 0% | 1 | Benin |
F_TL |
Female population | integer | SEL | 0% | 1 | 7443794 |
M_TL |
Male population | integer | SEL | 0% | 1 | 7253258 |
T_TL |
Total population | integer | SEL | 0% | 1 | 14697052 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
year |
year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 1284392 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 1097100 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 912709 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 765402 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 688274 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 585652 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 483017 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 393747 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 316968 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 274252 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 210503 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 128147 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 105824 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 82767 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 54837 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 34486 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 25717 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1325935 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1112503 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 921589 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 773131 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 686499 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 562971 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 436767 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 341520 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 276334 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 245588 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 12 | BJ01, BJ02, BJ03, BJ04, BJ05 |
region_name |
Region name | string | SEL | 0% | 12 | Alibori, Atacora, Atlantique, Borgou, Collines |
F_TL |
Female population | integer | SEL | 0% | 12 | 694204, 528828, 1225865, 982878, 468328 |
M_TL |
Male population | integer | SEL | 0% | 12 | 700304, 520300, 1210300, 1002482, 462023 |
T_TL |
Total population | integer | SEL | 0% | 12 | 1394508, 1049128, 2436165, 1985360, 930351 |
| 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 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 12 | 140174, 100736, 203304, 196268, 75307 |
F_05_09 |
Female population age 5-9 | integer | 0% | 12 | 120665, 86715, 161823, 160155, 67749 |
F_10_14 |
Female population age 10-14 | integer | 0% | 12 | 85670, 64117, 145911, 119230, 61895 |
F_15_19 |
Female population age 15-19 | integer | 0% | 12 | 76150, 52468, 120650, 108145, 51324 |
F_20_24 |
Female population age 20-24 | integer | 0% | 12 | 64722, 45771, 118836, 95278, 42141 |
F_25_29 |
Female population age 25-29 | integer | 0% | 12 | 52951, 36364, 105216, 74025, 34365 |
F_30_34 |
Female population age 30-34 | integer | 0% | 12 | 41179, 32336, 86156, 59967, 29381 |
F_35_39 |
Female population age 35-39 | integer | 0% | 12 | 29825, 23535, 73237, 42307, 24750 |
F_40_44 |
Female population age 40-44 | integer | 0% | 12 | 24391, 22106, 55852, 35679, 20318 |
F_45_49 |
Female population age 45-49 | integer | 0% | 12 | 16708, 17360, 51505, 27904, 17128 |
F_50_54 |
Female population age 50-54 | integer | 0% | 12 | 15033, 15609, 35488, 22202, 13480 |
F_55_59 |
Female population age 55-59 | integer | 0% | 12 | 8022, 8558, 22567, 12373, 8163 |
F_60_64 |
Female population age 60-64 | integer | 0% | 12 | 6993, 8316, 16196, 10634, 7277 |
F_65_69 |
Female population age 65-69 | integer | 0% | 12 | 4388, 6146, 12059, 7173, 6447 |
F_70_74 |
Female population age 70-74 | integer | 0% | 12 | 3918, 4686, 7378, 5687, 4075 |
F_75_79 |
Female population age 75-79 | integer | 0% | 12 | 1731, 2256, 5338, 3275, 2829 |
F_80Plus |
F_80Plus | integer | 0% | 12 | 1684, 1749, 4349, 2576, 1699 |
M_00_04 |
Male population age 0-4 | integer | 0% | 12 | 141752, 103911, 212814, 200184, 79312 |
M_05_09 |
Male population age 5-9 | integer | 0% | 12 | 119676, 90626, 164813, 159654, 69943 |
M_10_14 |
Male population age 10-14 | integer | 0% | 12 | 87524, 68967, 140519, 122817, 65243 |
M_15_19 |
Male population age 15-19 | integer | 0% | 12 | 70219, 52312, 120435, 104582, 57100 |
M_20_24 |
Male population age 20-24 | integer | 0% | 12 | 61636, 44302, 126154, 98534, 43914 |
M_25_29 |
Male population age 25-29 | integer | 0% | 12 | 52906, 34510, 104991, 77040, 32946 |
M_30_34 |
Male population age 30-34 | integer | 0% | 12 | 40998, 28273, 80960, 59608, 25194 |
M_35_39 |
Male population age 35-39 | integer | 0% | 12 | 30168, 20536, 66394, 42362, 20237 |
M_40_44 |
Male population age 40-44 | integer | 0% | 12 | 25020, 18253, 51182, 35163, 17191 |
M_45_49 |
Male population age 45-49 | integer | 0% | 12 | 19973, 14854, 48685, 29147, 14588 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 77 | BJ0101, BJ0102, BJ0103, BJ0104, BJ0105 |
region_name |
Region name | string | SEL | 0% | 77 | Banikoara, Gogounou, Kandi, Karimama, Malanville |
F_TL |
Female population | integer | SEL | 0% | 77 | 191659, 83434, 161262, 52923, 134086 |
M_TL |
Male population | integer | SEL | 0% | 77 | 192724, 82804, 162114, 53942, 134768 |
T_TL |
Total population | integer | SEL | 0% | 77 | 384383, 166238, 323376, 106865, 268854 |
| 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 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 76 | 37497, 17255, 32522, 10907, 26707 |
F_05_09 |
Female population age 5-9 | integer | 0% | 77 | 33952, 14348, 27989, 9225, 22673 |
F_10_14 |
Female population age 10-14 | integer | 0% | 77 | 23745, 10385, 20026, 6318, 16394 |
F_15_19 |
Female population age 15-19 | integer | 0% | 77 | 21508, 9460, 17347, 5132, 14681 |
F_20_24 |
Female population age 20-24 | integer | 0% | 77 | 17943, 7421, 15246, 4837, 12776 |
F_25_29 |
Female population age 25-29 | integer | 0% | 77 | 14717, 6155, 12460, 4010, 10406 |
F_30_34 |
Female population age 30-34 | integer | 0% | 77 | 10991, 4902, 9642, 3310, 8245 |
F_35_39 |
Female population age 35-39 | integer | 0% | 77 | 8261, 3568, 6818, 2437, 5926 |
F_40_44 |
Female population age 40-44 | integer | 0% | 76 | 6291, 2876, 5587, 2118, 5184 |
F_45_49 |
Female population age 45-49 | integer | 0% | 77 | 4404, 1938, 4060, 1408, 3421 |
F_50_54 |
Female population age 50-54 | integer | 0% | 77 | 4124, 1812, 3335, 1316, 3028 |
F_55_59 |
Female population age 55-59 | integer | 0% | 77 | 2368, 958, 1959, 573, 1508 |
F_60_64 |
Female population age 60-64 | integer | 0% | 76 | 2061, 879, 1607, 537, 1207 |
F_65_69 |
Female population age 65-69 | integer | 0% | 75 | 1317, 541, 1081, 356, 689 |
F_70_74 |
Female population age 70-74 | integer | 0% | 74 | 1175, 539, 950, 251, 651 |
F_75_79 |
Female population age 75-79 | integer | 0% | 74 | 668, 196, 309, 133, 272 |
F_80Plus |
F_80Plus | integer | 0% | 71 | 637, 201, 324, 55, 318 |
M_00_04 |
Male population age 0-4 | integer | 0% | 77 | 37997, 17421, 32802, 10951, 26767 |
M_05_09 |
Male population age 5-9 | integer | 0% | 76 | 33130, 14463, 28259, 8925, 22160 |
M_10_14 |
Male population age 10-14 | integer | 0% | 77 | 25023, 10520, 19956, 6443, 16331 |
M_15_19 |
Male population age 15-19 | integer | 0% | 77 | 20028, 8310, 16142, 5124, 13174 |
M_20_24 |
Male population age 20-24 | integer | 0% | 77 | 17225, 7033, 14211, 4899, 12017 |
M_25_29 |
Male population age 25-29 | integer | 0% | 77 | 15072, 6182, 12484, 3742, 10009 |
M_30_34 |
Male population age 30-34 | integer | 0% | 77 | 11033, 4761, 9769, 3073, 7872 |
M_35_39 |
Male population age 35-39 | integer | 0% | 77 | 8335, 3435, 7097, 2255, 5909 |
M_40_44 |
Male population age 40-44 | integer | 0% | 77 | 6312, 2895, 5620, 2204, 5453 |
M_45_49 |
Male population age 45-49 | integer | 0% | 74 | 5150, 2190, 4792, 1649, 4277 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 57 | agun1238, ajab1235, amer1248, anii1245, anuf1239 |
name |
Name | string | CCL | 0% | 57 | Aguna, Aja (Benin), American Sign Language, Anii, Anufo |
iso639_3 |
Iso639 3 | string | CCL | 0% | 57 | aug, ajg, ase, blo, cko |
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% | 5 | atla1278, atla1278, sign1238, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 37 | ewei1234, gbee1241, amer1258, basi1245, nort2767 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 10 | ['BJ', 'TG'], ['BJ', 'TG'], ['BB', 'BF', 'BJ', 'BO',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 10 | 0, 4, 2, 7, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 57 | 7.49256, 7.06634, 33.8117, 9.11127, 10.2839 |
longitude |
longitude | float | 0% | 57 | 1.74452, 1.64992, -81.6121, 1.60169, 0.56021 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | The Republic of Benin |
admin_code |
Admin code | string | SEL | 0% | 1 | 84139743B99999625492710 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 115453.6436 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 14629375 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 126.71 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN, BEN |
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% | 12 | Atlanique, Borgou, Oueme, Alibori, Zou |
admin_code |
Admin code | string | SEL | 0% | 12 | 11314189B92184841279532, 11314189B6086502013331,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 3203.4842, 25015.2262, 1368.4205, 26516.851, 5046.2179 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 2176001, 1956049, 1439642, 1364394, 1163506 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 679.26, 78.19, 1052.05, 51.45, 230.57 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN, BEN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 24 | Cotonou, Porto-Novo, Parakou, Bohicon, Whydah |
admin_code |
Admin code | integer | SEL | 0% | 24 | 1588, 1949, 2031, 1067, 1182 |
area_sqkm |
Area sqkm | float | SEL | 0% | 24 | 475.873, 148.028, 78.4989, 66.5654, 22.8498 |
pop_2024 |
Population count | integer | SEL | 0% | 24 | 2110500, 864132, 363935, 299164, 197063 |
pop_density_2024 |
Population density | float | SEL | 0% | 24 | 4435.01, 5837.63, 4636.18, 4494.29, 8624.28 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 24 | 2647117, 815040, 392541, 278594, 134852 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 24 | 0.797, 1.06, 0.927, 1.074, 1.461 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 24 | Cotonou, Porto-Novo, Parakou, Bohicon, Djougou |
country_code |
Country code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN, BEN |
population |
Population count | integer | SEL | 0% | 24 | 2647117, 815040, 392541, 278594, 157893 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 24 | 1588, 1949, 2031, 1067, 401 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Benin, Benin, Benin, Benin, Benin |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| 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 | 2024.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 126.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .bj |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 32.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 1,350 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1350.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2024 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 18.2 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 18.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 126 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-run Office de Radiodiffusion et de Télévision du... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2019.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 32% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 24,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 24000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| 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 | 3900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 21.483 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 38.5 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | robust economic growth; slightly declining but still... |
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 | $56.424 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 | 56.424 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $52.51 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 | 52.51 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $49.374 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 | 49.374 |
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 | 7.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 7.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 6.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 6.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 6.3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 6.3 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $3,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3600.0 |
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 | $21.483 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 1.4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 1.4 |
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. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 56.5 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 56.5% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 71.1% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 71.1 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 45.5% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 45.5 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 505,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 505000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 1.459 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 1.459 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 2 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 2.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 844.888 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 844.888 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 385 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 385.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 96.7% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 96.7 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 3.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 3.3 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 164,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 164000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 164,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 164000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 40,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 40000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 8 million barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 8.0 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 157.25 million cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 157.25 |
natural_gas_imports_text |
natural_gas_imports_text | string | 0% | 1 | 157.25 million cubic meters (2023 est.) |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 41.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 28.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 50.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.74 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 685900.0 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | inadequate supplies of potable water; water pollution;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid in south; semiarid in north |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 41.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 31.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 31.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 4.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 4.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 28.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 29.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 29.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 50.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.74% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 5.948 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 5.948 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 379,000 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 | 379000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 5.263 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 | 5.263 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 306,000 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 | 306000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 32.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 32.6 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 63.4 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 63.4 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 106.1 kt (2019-2021 est.) |
| +18 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Beninese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Beninese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Fon and related 38.4%, Adja and related 15.1%, Yoruba... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 38.4 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 112622.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 110622.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 2000.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2123.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 121.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 675.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 41.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 28.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 530.0 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Western Africa, bordering the Bight of Benin, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 9 30 N, 2 15 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 9.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 112,622 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 110,622 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 2,000 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Pennsylvania |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,123 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Burkina Faso 386 km; Niger 277 km; Nigeria 809 km; Togo 651 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 386.0 |
coastline_text |
coastline_text | string | 0% | 1 | 121 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 200 nm; note: the US does not recognize this claim |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
maritime_claims_exclusive_fishing_zone_text |
maritime_claims_exclusive_fishing_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_fishing_zone_numeric |
maritime_claims_exclusive_fishing_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid in south; semiarid in north |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to undulating plain; some hills and low mountains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | unnamed elevation 675 m; located 2.5 km southeast of the... |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 273 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 273.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | small offshore oil deposits, limestone, marble, timber |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 41.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 31.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 31.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.5 |
| +13 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Benin |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Benin |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République du Benin |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Benin |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Dahomey, People's Republic of Benin |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the current name comes from a local ethnic group, the... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Porto-Novo (constitutional capital); Cotonou (seat of government) |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 6 29 N, 2 37 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
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 name Porto-Novo is Portuguese for "new port";... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 12 departments; Alibori, Atacora, Atlantique, Borgou,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 12.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system modeled largely on the French system... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1946, 1958 (pre-independence); latest adopted... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1946.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed concurrently by the president of the republic... |
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 Benin |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Patrice TALON (since 6 April 2016) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 6.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President Patrice TALON (since 6 April 2016) |
| +74 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Present-day Benin is comprised of about 42 ethnic... |
background_numeric |
background_numeric | float | 0% | 1 | 42.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | 55 languages; French (official); Fon (a Gbe language),... |
languages_numeric |
languages_numeric | float | 0% | 1 | 55.0 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 23,225 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 23225.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 12,501 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 12501.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Beninese Armed Forces (Forces Armees Beninoises, FAB;... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 0.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.7% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 10-12,000 active duty Armed Forces (including... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military is equipped with a mix of older,... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-30 years of age for voluntary and selective... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Beninese Armed Forces (FAB) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2022.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 15186090.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 7500771.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 7685319.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 45.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 52.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 91.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 86.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 17.2 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 3.26 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 39.82 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.45 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.22 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 50.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.74 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 518.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 51.6 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 63.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 5.3 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.59 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.22 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 51.4 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 15,186,090 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 7,500,771 |
population_female_text |
population_female_text | string | 0% | 1 | 7,685,319 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 45.3% (male 3,360,027/female 3,294,201) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 52.2% (male 3,727,040/female 3,951,786) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.5% (2024 est.) (male 166,191/female 197,807) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 91.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 86.3 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 21 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 21.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 17.2 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 16.6 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 16.6 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 17.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 17.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 3.26% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 39.82 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7.45 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.22 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is primarily located in the south, with... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 50.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.74% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 285,000 PORTO-NOVO (capital) (2018); 1.253 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 285000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.02 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 | 0.94 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.94 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 27.7 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 2.6 |
composition_ethnicity_primary_label_synth |
Fon and related | string | CCL | 0% | - | Fon and related |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 27.7%, Roman Catholic 25.5%, Protestant 13.5%... |
religions_numeric |
religions_numeric | float | 0% | 1 | 27.7 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 25.5 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 13.5 |
composition_religion_protestant__celestial_pct_synth |
Celestial | numeric | 0% | - | 6.7 |
composition_religion_protestant__methodist_pct_synth |
Methodist | numeric | 0% | - | 3.4 |
composition_religion_protestant__other_protestant_pct_synth |
other Protestant | numeric | 0% | - | 3.4 |
composition_religion_vodoun_pct_synth |
Vodoun | numeric | 0% | - | 11.6 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 9.5 |
composition_religion_other_traditional_religions_pct_synth |
other traditional religions | numeric | 0% | - | 2.6 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 5.8 |
composition_ethnicity_fon_and_related_pct_synth |
Fon and related | numeric | 0% | - | 38.4 |
composition_ethnicity_adja_and_related_pct_synth |
Adja and related | numeric | 0% | - | 15.1 |
composition_ethnicity_yoruba_and_related_pct_synth |
Yoruba and related | numeric | 0% | - | 12.0 |
composition_ethnicity_bariba_and_related_pct_synth |
Bariba and related | numeric | 0% | - | 9.6 |
composition_ethnicity_fulani_and_related_pct_synth |
Fulani and related | numeric | 0% | - | 8.6 |
composition_ethnicity_ottamari_and_related_pct_synth |
Ottamari and related | numeric | 0% | - | 6.1 |
composition_ethnicity_yoa_lokpa_and_related_pct_synth |
Yoa-Lokpa and related | numeric | 0% | - | 4.3 |
composition_ethnicity_dendi_and_related_pct_synth |
Dendi and related | numeric | 0% | - | 2.9 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.9 |
composition_ethnicity_foreigner_pct_synth |
foreigner | numeric | 0% | - | 1.9 |
composition_ethnicity_primary_share_pct_synth |
Fon and related | numeric | 0% | - | 38.4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Jama’at Nusrat al Islam wal Muslimeen (JNIM); Islamic... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| 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 | TY |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | BEN |
country_name |
Country name | string | SEL | 0% | 1 | Benin |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 10 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 438 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 438.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 438 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 438.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 6 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 6.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | other 6 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 6.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 1 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 1.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 0 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 0.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Cotonou |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN, BEN |
society_id |
Society id | string | CCL | 0% | 6 | Af1, Ag49, Ag50, Ag51, Ag52 |
society_name |
Society name | string | CCL | 0% | 6 | Fon, Kabre, Moba, Somba, Tem |
language_glottocode |
Language glottocode | string | CCL | 0% | 6 | fonn1241, kabi1261, moba1244, dita1238, temm1241 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA001:0; EA002:2; EA003:1; EA004:2; EA005:5, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:1; EA007:2; EA008:5; EA009:5; EA010:8, EA006:2;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 6 | EA028:3; EA029:5; EA030:7; EA031:7; EA032:3, EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 6 | EA033:4; EA034:1; EA035:8, EA033:1; EA034:2; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:1; EA112:7, EA034:2; EA112:NA, EA034:2; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:8; EA013:3, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Benin, Benin, Benin, Benin, Benin |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 4 | 7.0, 10.0, 11.0, 11.0, 11.0 |
longitude |
longitude | float | 0% | 2 | 2.0, 2.0, 1.0, 1.0, 1.0 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN |
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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | eng, fra, spa, deu |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | English, French, Spanish, German |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 5, 2, 1, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 55.5556, 22.2222, 11.1111, 11.1111 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BEN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Benin |
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 | 99.9696 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 6579 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 5299 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 6577 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1613 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1400 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 42 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 35 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 4617 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 3648 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 152 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 131 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 93 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 71 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 61 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 13 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 1 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BEN, BEN, BEN, BEN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | South/Central (Fon), Southeastern (Yoruba/Nagot and... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.33, 0.185, 0.15, 0.15 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 43401000, 43402000, 43403000, 43404000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 5 | 55.6% | — |
| French (fra) | 2 | 22.2% | — |
| Spanish (spa) | 1 | 11.1% | — |
| German (deu) | 1 | 11.1% | — |
5,299 distinct features ·
4 languages ·
0 scripts ·
2 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.