ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| 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_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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|---|
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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | SEN |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | float | 0% | 1 | 6.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 79 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 39 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 7 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 6.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 3.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 107 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.63 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 4.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 74 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.53 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 5 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 4.45 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
| +103 more pending 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| 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.