| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN, SEN, SEN, SEN, SEN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 11 | Total, Dakar, Diourbel, Fatick, Kaolack |
human_development_index |
Human development index | float | SEL | 0% | 83 | 0.41, 0.601, 0.263, 0.358, 0.309 |
health_index |
Health index | float | SEL | 0% | 64 | 0.564, 0.68, 0.536, 0.548, 0.558 |
education_index |
Education index | float | SEL | 0% | 86 | 0.24, 0.516, 0.072, 0.184, 0.111 |
income_index |
Income index | float | SEL | 0% | 60 | 0.51, 0.619, 0.476, 0.456, 0.474 |
life_expectancy |
Life expectancy | float | SEL | 0% | 94 | 56.67, 64.19, 54.82, 55.59, 56.29 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 96 | 3.597, 9.14, 0.887, 2.143, 1.207 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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% | 90 | 16.5, 18.7, 22.3, 31.8, 45.4 |
men_who_are_literate |
Men who are literate | float | CCL | 27% | 66 | 36.8, 29.4, 33.6, 54.9, 60.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Senegal, Senegal, Senegal, Senegal, Senegal |
survey_year |
survey_year | integer | 0% | 13 | 2010, 2017, 2023, 2010, 2017 |
region |
region | string | 0% | 20 | ....Kaffrine, ....Kaffrine, ....Kaffrine, ....Kaolack... |
survey_id |
survey_id | string | 0% | 13 | SN2010DHS, SN2017DHS, SN2023DHS, SN2010DHS, SN2017DHS |
survey_type |
survey_type | string | 0% | 2 | 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 | 13% | 71 | 3.9, 19.0, 21.3, 7.8, 15.9 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 51 | 43.0, 47.0, 44.0, 56.0, 47.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 70 | 93.0, 64.0, 62.0, 98.0, 60.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 15% | 71 | 59.3, 76.6, 70.3, 65.7, 79.7 |
children_underweight |
Children underweight | float | CCL | 17% | 70 | 24.3, 17.7, 23.2, 17.8, 17.7 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 50% | 16 | 0.5, 0.9, 0.8, 0.4, 2.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Senegal, Senegal, Senegal, Senegal, Senegal |
survey_year |
survey_year | integer | 0% | 14 | 2010, 2017, 2023, 2010, 2017 |
region |
region | string | 0% | 21 | ....Kaffrine, ....Kaffrine, ....Kaffrine, ....Kaolack... |
survey_id |
survey_id | string | 0% | 14 | SN2010DHS, SN2017DHS, SN2023DHS, SN2010DHS, SN2017DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
| 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 | SN, SN, SN, SN, SN |
population_count |
Population count | float | SEL | 2% | 65 | 3340907.0, 3436375.0, 3534686.0, 3635876.0, 3740535.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 39.668, 39.715, 39.738, 39.745, 39.755 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 300.425115236279, 308.166383753301, 307.092565107939,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 82% | 12 | 26.8700008392334, 39.2799987792969, 41.8899993896484,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 293.4, 293.7, 294.5, 295.6, 296.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 92% | 5 | 55.2, 48.3, 46.7, 37.8, 37.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Senegal, Senegal, Senegal, Senegal, Senegal |
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 | SN, SN, SN, SN, SN |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 39.668, 39.715, 39.738, 39.745, 39.755 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 60 | 64.3, 63.1, 61.9, 60.8, 59.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 293.4, 293.7, 294.5, 295.6, 296.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 899.0, 820.0, 760.0, 709.0, 662.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 6.996, 7.038, 7.079, 7.12, 7.157 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 50.359, 50.318, 50.29, 50.171, 50.079 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 24.996, 24.907, 24.846, 24.795, 24.736 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 64% | 22 | 0.044, 0.051, 0.063, 0.061, 0.079 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 83% | 11 | 1.31314718723297, 1.29849994182587, 1.29009997844696,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 41% | 22 | 54.0, 57.0, 59.0, 47.0, 51.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.55015373, 3.68148756, 3.95294404, 4.29703569, 4.56856203 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Senegal, Senegal, Senegal, Senegal, Senegal |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 49 | bady1239, bain1259, bain1260, bain1261, bala1302 |
name |
Name | string | CCL | 0% | 49 | Jaad-Badyara, Bainounk-Gujaher, Bainouk-Samik,... |
iso639_3 |
Iso639 3 | string | CCL | 8% | 45 | pbp, bab, bcb, bcz, bjt |
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% | 8 | atla1278, atla1278, book1242, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 35 | jaad1234, bain1264, book1242, bain1264, bala1300 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 19 | ['GN', 'GW', 'SN'], ['GW', 'SN'], ['GW', 'SN'], ['GM',... |
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% | 8 | 0, 0, 0, 2, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 4% | 47 | 12.6425, 12.3128, 12.5053, 12.8672, 12.5382 |
longitude |
longitude | float | 4% | 47 | -13.4759, -16.0586, -15.9969, -16.229, -15.6658 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Senegal |
admin_code |
Admin code | string | SEL | 0% | 1 | 83371676B15962665051392 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 196691.6669 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 18697441 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 95.06 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN, SEN, SEN, SEN, SEN |
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% | 14 | Dakar, Thies, Diourbel, Kaolack, Saint Louis |
admin_code |
Admin code | string | SEL | 0% | 14 | 71046170B16569890219484, 71046170B89315153043645,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 544.2206, 6590.4601, 4860.792, 5265.2902, 18974.1731 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 4239556, 2438177, 2095096, 1348656, 1213940 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 7790.14, 369.96, 431.02, 256.14, 63.98 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN, SEN, SEN, SEN, SEN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 25 | Dakar, Touba, Thiès, M'bour, Kaolack |
admin_code |
Admin code | integer | SEL | 0% | 25 | 39, 1763, 381, 220, 1576 |
area_sqkm |
Area sqkm | float | SEL | 0% | 25 | 275.3839, 160.0631, 51.6966, 80.5246, 40.7582 |
pop_2024 |
Population count | integer | SEL | 0% | 25 | 4280547, 1096454, 493353, 348940, 306733 |
pop_density_2024 |
Population density | float | SEL | 0% | 25 | 15543.93, 6850.14, 9543.24, 4333.33, 7525.68 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 25 | 3970202, 1170259, 483415, 506407, 406201 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 25 | 1.078, 0.937, 1.021, 0.689, 0.755 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 25 | Dakar, Touba, M'bour, Thiès, Kaolack |
country_code |
Country code | string | SEL | 0% | 1 | SEN, SEN, SEN, SEN, SEN |
population |
Population count | integer | SEL | 0% | 25 | 3970202, 1170259, 506407, 483415, 406201 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 25 | 39, 1763, 220, 381, 1576 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Senegal, Senegal, Senegal, Senegal, Senegal |
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 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 120.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sn |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 61.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | 399,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 399000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 22.4 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 22.4 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 120 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | over 25 private TV stations; state-run Radiodiffusion... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 25.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 61% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 357,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 357000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.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 | 4500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 32.267 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | lower middle-income, services-driven West African... |
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 | $83.183 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 | 83.183 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $77.82 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 | 77.82 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $74.642 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 | 74.642 |
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 | 6.9% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.3% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.9 |
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 | $4,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $4,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 4300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $4,200 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 4200.0 |
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 | $32.267 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 0.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 0.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 9.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 9.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +110 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 | 67.9 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | 67.9% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 96.6% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 96.6 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 43.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 43.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 1.772 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 1.772 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 7.547 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 7.547 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 486 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 486.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 983 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 983.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 78.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 78.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 7.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 7.4 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 9.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 9.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 3.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 3.9 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.4% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.4 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 138,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 138000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 21 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 21.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 181,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 181000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 9,000 bbl/day (2023 est.) |
| +11 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 | 49.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 45.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 49.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.59 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.454 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | deforestation; overgrazing; soil erosion;... |
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 | tropical; hot, humid; rainy season (May to November) has... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 49.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 19.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 19.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 29.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 29.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 45.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 5.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 5.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 49.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.59% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 10.373 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 10.373 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 456,000 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 | 456000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 9.859 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 | 9.859 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 58,000 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 | 58000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 42.2 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 42.2 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 37 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 37.0 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 258.5 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 258.5 |
| +17 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 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | Senegalese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Senegalese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Wolof 39.7%, Pulaar 27.5%, Sereer 16%, Mandinka 4.9%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 39.7 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 196722.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 192530.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 4192.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2684.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 531.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2.8 |
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 | 49.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 45.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1200.0 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 North Atlantic Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 14 00 N, 14 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 14.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 196,722 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 192,530 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 4,192 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than South Dakota; slightly larger than... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,684 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | The Gambia 749 km; Guinea 363 km; Guinea-Bissau 341 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 749.0 |
coastline_text |
coastline_text | string | 0% | 1 | 531 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to the edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid; rainy season (May to November) has... |
terrain_text |
terrain_text | string | 0% | 1 | generally low, rolling, plains rising to foothills in southeast |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | unnamed elevation 2.8 km southeast of Nepen Diaka 648 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 69 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 69.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | fish, phosphates, iron ore |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 49.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 19.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 19.9 |
| +19 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 | SEN |
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 Senegal |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Senegal |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République du Sénégal |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Sénégal |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Senegambia (along with The Gambia), Mali Federation |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for the Senegal River that forms the northern... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Dakar |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 14 44 N, 17 38 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 14.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC 0 (5 hours ahead of Washington, D.C., during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 0.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name comes from the Wolof word n'dakar, meaning... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 14 regions (régions, singular - région); Dakar,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 14.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on French law; Constitutional... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1959 (pre-independence), 1963; latest adopted... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1959.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or by the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Senegal |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no, but Senegalese citizens do not automatically lose... |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
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 Bassirou Diomaye FAYE (since 2 April 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 2.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Ousmane SONKO (since 2 April 2024) |
| +70 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 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Senegal is one of the few countries in the world with... |
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/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | French (official), Wolof, Pulaar, Jola, Mandinka, Serer, Soninke |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | 13,064 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 13064.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 5,922 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 5922.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | Senegalese Armed Forces (les Forces Armées Sénégalaises,... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.6% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.6 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.7 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 25,000 active Armed Forces personnel,... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 25000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military has a mix of older, secondhand, and some... |
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 | 18-28 (up to 35 for specialized roles); 24-month service... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 190 Central African Republic (MINUSCA; plus about 575... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 190.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Senegalese military is responsible for both... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1982.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 18847519.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 9283314.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 9564205.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 40.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 55.9 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 78.9 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 72.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.1 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 19.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.4 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 29.54 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.85 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.66 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 49.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.59 |
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 | 237.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 30.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 70.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.96 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.93 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.11 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 50.4 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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 | 18,847,519 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 9,283,314 |
population_female_text |
population_female_text | string | 0% | 1 | 9,564,205 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 40.7% (male 3,907,986/female 3,760,594) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 55.9% (male 5,098,038/female 5,437,195) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.4% (2024 est.) (male 277,290/female 366,416) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 78.9 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 72.8 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.1 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 16.4 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 16.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 19.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 18.4 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 18.4 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 20 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 20.0 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.4% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 29.54 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.85 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.66 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is concentrated in the west, with Dakar... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 70.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 49.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.59% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.340 million DAKAR (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.34 |
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 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.94 male(s)/female |
| +94 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 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 97.2 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 2.7 |
composition_ethnicity_primary_label_synth |
Wolof | string | CCL | 0% | - | Wolof |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 97.2% (most adhere to one of the four main Sufi... |
religions_numeric |
religions_numeric | float | 0% | 1 | 97.2 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_ethnicity_wolof_pct_synth |
Wolof | numeric | 0% | - | 39.7 |
composition_ethnicity_pulaar_pct_synth |
Pulaar | numeric | 0% | - | 27.5 |
composition_ethnicity_sereer_pct_synth |
Sereer | numeric | 0% | - | 16.0 |
composition_ethnicity_mandinka_pct_synth |
Mandinka | numeric | 0% | - | 4.9 |
composition_ethnicity_jola_pct_synth |
Jola | numeric | 0% | - | 4.2 |
composition_ethnicity_soninke_pct_synth |
Soninke | numeric | 0% | - | 2.4 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 5.4 |
composition_ethnicity_primary_share_pct_synth |
Wolof | numeric | 0% | - | 39.7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Senegalese Space Study Agency (Agence Sénégalaise... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2023.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | small, nascent program focused on earth... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 2023 - signed cooperation agreement with ESA to leverage... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2023.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
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-Muslimin (JNIM) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.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 | 6V |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 20.0 |
country_code |
Country code | string | SEL | 0% | 1 | SEN |
country_name |
Country name | string | SEL | 0% | 1 | Senegal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 6.0 |
airports_text |
airports_text | string | 0% | 1 | 20 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 906 km (2017) (713 km operational in 2017) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 906.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 906 km (2017) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 906.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 36 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 36.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 5, oil tanker 1, other 30 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 5.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
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 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 4 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 4.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Dakar, Karabane, Lyndiane, M'bao Oil Terminal, Rufisque,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | SN |
region_name |
Region name | string | SEL | 0% | 1 | Senegal |
F_TL |
Female population | integer | SEL | 0% | 1 | 8913569 |
M_TL |
Male population | integer | SEL | 0% | 1 | 8825226 |
T_TL |
Total population | integer | SEL | 0% | 1 | 17738795 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2022 |
year |
year | integer | 0% | 1 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 1420355 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 1211905 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 999446 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 890550 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 782815 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 695032 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 616443 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 520126 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 419322 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 344296 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 273058 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 222752 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 179789 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 133486 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 88180 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 56632 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 59383 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1444052 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1241626 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 1051474 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 933882 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 808886 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 687428 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 567166 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 474534 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 389732 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 314292 |
| +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% | 14 | SN01, SN02, SN03, SN04, SN05 |
region_name |
Region name | string | SEL | 0% | 14 | Dakar, Diourbel, Fatick, Kaffrine, Kaolack |
F_TL |
Female population | integer | SEL | 0% | 14 | 2007358, 1024992, 488492, 396666, 642220 |
M_TL |
Male population | integer | SEL | 0% | 14 | 2034867, 955829, 477420, 385607, 624794 |
T_TL |
Total population | integer | SEL | 0% | 14 | 4042225, 1980821, 965912, 782273, 1267014 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 14 | 269252, 169266, 87058, 72666, 104359 |
F_05_09 |
Female population age 5-9 | integer | 0% | 14 | 244428, 141854, 70110, 62302, 89373 |
F_10_14 |
Female population age 10-14 | integer | 0% | 14 | 184754, 119901, 59310, 52918, 77290 |
F_15_19 |
Female population age 15-19 | integer | 0% | 14 | 173050, 103722, 52834, 42074, 68231 |
F_20_24 |
Female population age 20-24 | integer | 0% | 14 | 165604, 87978, 45583, 32379, 58837 |
F_25_29 |
Female population age 25-29 | integer | 0% | 14 | 167517, 76363, 36699, 27412, 49747 |
F_30_34 |
Female population age 30-34 | integer | 0% | 14 | 174913, 66439, 26712, 24496, 40613 |
F_35_39 |
Female population age 35-39 | integer | 0% | 14 | 150586, 56978, 22126, 20048, 33957 |
F_40_44 |
Female population age 40-44 | integer | 0% | 14 | 118260, 47944, 18998, 15399, 27955 |
F_45_49 |
Female population age 45-49 | integer | 0% | 14 | 96049, 39540, 16025, 12299, 22983 |
F_50_54 |
Female population age 50-54 | integer | 0% | 14 | 73012, 31211, 13413, 9556, 18377 |
F_55_59 |
Female population age 55-59 | integer | 0% | 14 | 59573, 24948, 11235, 7563, 15002 |
F_60_64 |
Female population age 60-64 | integer | 0% | 14 | 49311, 19194, 9236, 5855, 12059 |
F_65_69 |
Female population age 65-69 | integer | 0% | 14 | 35706, 14519, 7028, 4384, 9015 |
F_70_74 |
Female population age 70-74 | integer | 0% | 14 | 22047, 10304, 4779, 3046, 6045 |
F_75_79 |
Female population age 75-79 | integer | 0% | 14 | 13290, 6854, 3258, 2011, 3965 |
F_80Plus |
F_80Plus | integer | 0% | 14 | 10005, 7977, 4088, 2257, 4413 |
M_00_04 |
Male population age 0-4 | integer | 0% | 14 | 285744, 169691, 87061, 71899, 104440 |
M_05_09 |
Male population age 5-9 | integer | 0% | 14 | 259176, 144539, 70327, 61785, 90187 |
M_10_14 |
Male population age 10-14 | integer | 0% | 14 | 194663, 128826, 61049, 53901, 81629 |
M_15_19 |
Male population age 15-19 | integer | 0% | 14 | 170533, 107578, 56050, 43619, 73575 |
M_20_24 |
Male population age 20-24 | integer | 0% | 14 | 151432, 86653, 49329, 33783, 63812 |
M_25_29 |
Male population age 25-29 | integer | 0% | 14 | 154599, 69757, 38048, 26511, 49995 |
M_30_34 |
Male population age 30-34 | integer | 0% | 14 | 170713, 54213, 24248, 20047, 33766 |
M_35_39 |
Male population age 35-39 | integer | 0% | 14 | 153325, 43348, 19029, 16502, 27360 |
M_40_44 |
Male population age 40-44 | integer | 0% | 14 | 128304, 33917, 15975, 14114, 23642 |
M_45_49 |
Male population age 45-49 | integer | 0% | 14 | 103276, 27604, 13038, 11236, 19080 |
| +24 more pending 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 | SN, SN, SN, SN, SN |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | SEN, SEN, SEN, SEN, SEN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 5 | -9.57, -0.34, 0.0, 0.0, 0.0 |
grocery |
grocery | float | 0% | 7 | 14.84, -1.0, 0.0, -0.8, 0.0 |
parks |
parks | float | 0% | 5 | -2.22, 0.0, -7.46, 0.0, 0.0 |
transit |
transit | float | 0% | 5 | -2.01, -1.27, 0.0, 0.0, 0.0 |
workplaces |
workplaces | float | 0% | 12 | -11.24, 3.98, -3.29, -6.58, -17.39 |
residential |
residential | float | 0% | 5 | 7.06, 0.98, 0.0, 0.0, 0.0 |
region |
region | string | 0% | 12 | Dakar Region, Diourbel Region, Fatick Region, Kaolack... |
observation_count |
observation_count | integer | 0% | 7 | 974, 963, 886, 949, 637 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SEN |
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 | SEN |
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 | SEN |
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 | SEN |
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 | SEN |
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 | SEN, SEN, SEN, SEN, SEN |
society_id |
Society id | string | CCL | 0% | 5 | Ag19, Ag26, Ag8, Cb2, Cb23 |
society_name |
Society name | string | CCL | 0% | 5 | Diola, Susu, Coniagui, Wolof, Tukulor |
language_glottocode |
Language glottocode | string | CCL | 0% | 5 | ejam1238, susu1250, wame1240, nucl1347, pula1263 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA001:1; EA002:0; EA003:3; EA004:2; EA005:4, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:1; EA007:2; EA008:8; EA009:6; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:3; EA029:6; EA030:7; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA033:2; EA034:NA; EA035:NA, EA033:2; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:2;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Senegal, Senegal, Senegal, Senegal, Senegal |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 4 | 12.88, 15.0, 13.0, 15.0, 14.73 |
longitude |
longitude | float | 0% | 4 | -16.19, -13.0, -13.0, -17.0, -14.32 |
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 | SEN, SEN, SEN, SEN, SEN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 5 | Wolof, Pulaar (Peul, Toucouleur), Serer, Mandingue (and... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | JUNIOR PARTNER, SENIOR PARTNER, JUNIOR PARTNER, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.435, 0.23, 0.15, 0.08, 0.055 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 5 | 43301000, 43302000, 43303000, 43304000, 43305000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SEN, SEN |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | fra, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | French, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 8162, 18 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.78, 0.22 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SEN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Senegal |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9912 |
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 | 22735 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 14333 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 22733 |
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 | 1656 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1149 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 18976 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11733 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 606 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 462 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 658 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 569 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 286 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 201 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 502 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 190 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 51 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 29 |
| 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 |
|---|---|---|---|
| French (fra) | 8,162 | 99.8% | — |
| English (eng) | 18 | 0.2% | — |
14,333 distinct features ·
2 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.