| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD, TCD, TCD, TCD, TCD |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 9 | Total, Zone 1 (N'Djamena), Zone 2 (Borkou, Ennedi,... |
human_development_index |
Human development index | float | SEL | 0% | 80 | 0.275, 0.402, 0.178, 0.187, 0.173 |
health_index |
Health index | float | SEL | 0% | 58 | 0.386, 0.394, 0.376, 0.4, 0.391 |
education_index |
Education index | float | SEL | 0% | 91 | 0.141, 0.365, 0.041, 0.045, 0.037 |
income_index |
Income index | float | SEL | 0% | 56 | 0.382, 0.451, 0.36, 0.364, 0.364 |
life_expectancy |
Life expectancy | float | SEL | 0% | 88 | 45.07, 45.62, 44.43, 45.97, 45.43 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 2.112, 6.861, 0.426, 0.485, 0.523 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 12 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | adam1253, amda1238, amer1248, assa1269, baba1273 |
name |
Name | string | CCL | 0% | 100 | Adamawa Fulfulde, Amdang, American Sign Language,... |
iso639_3 |
Iso639 3 | string | CCL | 5% | 95 | fub, amj, ase, sjg, bbz |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 3% | 10 | atla1278, fura1235, sign1238, tama1329, book1242 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 3% | 63 | adam1260, fura1235, amer1258, tama1368, book1242 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 16 | ['CM', 'ER', 'ET', 'NG', 'SD', 'TD'], ['TD'], ['BB',... |
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% | 11 | 6, 0, 2, 6, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 100 | 8.140326, 14.7528, 33.8117, 13.9592, 12.7617 |
longitude |
longitude | float | 0% | 100 | 13.077338, 20.8912, -81.6121, 22.6393, 16.6925 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TD, TD, TD, TD, TD |
population_count |
Population count | float | SEL | 2% | 65 | 3049838.0, 3111947.0, 3175598.0, 3240905.0, 3307479.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 39.216, 39.421, 39.608, 39.893, 40.12 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 102.819470459603, 107.320380491931, 112.619958010844,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 92% | 5 | 10.8900003433228, 25.6499996185303, 28.3799991607666,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 267.2, 266.2, 265.2, 263.9, 262.6 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 42.3, 44.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chad, Chad, Chad, Chad, Chad |
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 | TD, TD, TD, TD, TD |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 39.216, 39.421, 39.608, 39.893, 40.12 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 23% | 49 | 61.6, 61.6, 61.7, 61.6, 61.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 267.2, 266.2, 265.2, 263.9, 262.6 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 35 | 1119.0, 1068.0, 1123.0, 1093.0, 1083.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.25, 6.268, 6.285, 6.301, 6.318 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 45.902, 45.798, 45.71, 45.655, 45.635 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 25.572, 25.348, 25.143, 24.854, 24.627 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 62% | 21 | 0.014, 0.014, 0.016, 0.021, 0.026 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 91% | 6 | 0.697454333305359, 1.30999994277954, 0.7200999856, 0.47, 0.44 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 30 | 1.0, 3.0, 3.0, 10.0, 14.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.20697546, 4.08039331, 5.60251188, 4.24698305, 4.23982859 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chad, Chad, Chad, Chad, Chad |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 33 | 4.6, 11.9, 14.5, 5.8, 16.8 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 36 | 17.3, 37.0, 38.2, 24.2, 30.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chad, Chad, Chad, Chad, Chad |
survey_year |
survey_year | integer | 0% | 2 | 2014, 2014, 2014, 2014, 2014 |
region |
region | string | 0% | 29 | ..Barh El Gazal, ..Batha, ..Borkou/Tibesti, ..Chari... |
survey_id |
survey_id | string | 0% | 2 | TD2014DHS, TD2014DHS, TD2014DHS, TD2014DHS, TD2014DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 29 | 0.0, 0.9, 0.9, 0.6, 0.1 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 30 | 45.0, 63.0, 63.0, 91.0, 59.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 34 | 69.0, 101.0, 106.0, 178.0, 104.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 37 | 11.5, 5.2, 5.7, 1.9, 13.2 |
children_underweight |
Children underweight | float | CCL | 20% | 32 | 43.9, 38.4, 44.2, 31.8, 40.6 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 33% | 18 | 2.1, 0.5, 5.3, 1.9, 1.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chad, Chad, Chad, Chad, Chad |
survey_year |
survey_year | integer | 0% | 3 | 2014, 2014, 2014, 2014, 2014 |
region |
region | string | 0% | 33 | ..Barh El Gazal, ..Batha, ..Borkou/Tibesti, ..Chari... |
survey_id |
survey_id | string | 0% | 3 | TD2014DHS, TD2014DHS, TD2014DHS, TD2014DHS, TD2014DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Chad |
admin_code |
Admin code | string | SEL | 0% | 1 | 68238479B95800789829433 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1273880.8053 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 19118023 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 15.01 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD, TCD, TCD, TCD, TCD |
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% | 23 | N'Djamena Region, Mayo-Kebbi Ouest, Logone Occidental,... |
admin_code |
Admin code | string | SEL | 0% | 23 | 23847190B51844892814608, 23847190B16040038484355,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 23 | 386.9489, 12552.5244, 9101.5662, 30133.1291, 23438.5237 |
pop_2024 |
Population count | integer | SEL | 0% | 23 | 1895265, 1333814, 1282754, 1254197, 1210307 |
pop_density_2024 |
Population density | float | SEL | 0% | 23 | 4897.97, 106.26, 140.94, 41.62, 51.64 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD, TCD, TCD, TCD, TCD |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 31 | N'Djamena, Sarh, Abéché, Pala, Moundou |
admin_code |
Admin code | integer | SEL | 0% | 31 | 424, 2201, 2699, 268, 1198 |
area_sqkm |
Area sqkm | float | SEL | 0% | 31 | 220.6442, 28.8157, 37.7745, 16.8922, 30.8018 |
pop_2024 |
Population count | integer | SEL | 0% | 31 | 1825552, 213996, 201874, 196173, 190924 |
pop_density_2024 |
Population density | float | SEL | 0% | 31 | 8273.74, 7426.37, 5344.19, 11613.23, 6198.47 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 31 | 1910082, 249115, 395145, 129935, 257316 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 31 | 0.956, 0.859, 0.511, 1.51, 0.742 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 31 | N'Djamena, Abéché, Moundou, Sarh, Mongo |
country_code |
Country code | string | SEL | 0% | 1 | TCD, TCD, TCD, TCD, TCD |
population |
Population count | integer | SEL | 0% | 31 | 1910082, 395145, 257316, 249115, 205279 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 31 | 424, 2699, 1198, 2201, 2280 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Chad, Chad, Chad, Chad, Chad |
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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | TD |
region_name |
Region name | string | SEL | 0% | 1 | Tchad |
F_TL |
Female population | integer | SEL | 0% | 1 | 9075045 |
M_TL |
Male population | integer | SEL | 0% | 1 | 8958704 |
T_TL |
Total population | integer | SEL | 0% | 1 | 18033749 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 1719109 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 1413000 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 1269557 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 1058822 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 754939 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 585512 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 520211 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 441612 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 350383 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 279495 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 212860 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 159036 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 111994 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 78283 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 55059 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 34594 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 30579 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1801766 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1465090 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 1296164 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 1090013 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 780041 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 573624 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 408085 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 314569 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 276083 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 238905 |
| +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% | 23 | TD19, TD01, TD02, TD03, TD20 |
region_name |
Region name | string | SEL | 0% | 23 | Barh-El-Gazel, Batha, Borkou, Chari-Baguirmi, Ennedi Est |
F_TL |
Female population | integer | SEL | 0% | 23 | 197133, 388772, 76005, 460253, 81709 |
M_TL |
Male population | integer | SEL | 0% | 23 | 215675, 374290, 83348, 457831, 93096 |
T_TL |
Total population | integer | SEL | 0% | 23 | 412808, 763062, 159353, 918084, 174805 |
| 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 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 23 | 39107, 69240, 15140, 88370, 16558 |
F_05_09 |
Female population age 5-9 | integer | 0% | 23 | 31748, 56875, 12826, 71760, 13895 |
F_10_14 |
Female population age 10-14 | integer | 0% | 23 | 21839, 65852, 7731, 61616, 7955 |
F_15_19 |
Female population age 15-19 | integer | 0% | 23 | 21090, 49611, 7447, 54817, 7775 |
F_20_24 |
Female population age 20-24 | integer | 0% | 23 | 18023, 30159, 6460, 39438, 7353 |
F_25_29 |
Female population age 25-29 | integer | 0% | 23 | 14474, 22193, 5334, 29905, 6248 |
F_30_34 |
Female population age 30-34 | integer | 0% | 23 | 11007, 20799, 4592, 26594, 4941 |
F_35_39 |
Female population age 35-39 | integer | 0% | 23 | 8881, 18151, 3919, 22458, 4030 |
F_40_44 |
Female population age 40-44 | integer | 0% | 23 | 7964, 14576, 3333, 17466, 3412 |
F_45_49 |
Female population age 45-49 | integer | 0% | 23 | 6829, 11748, 2774, 13789, 2859 |
F_50_54 |
Female population age 50-54 | integer | 0% | 23 | 5491, 9013, 2177, 10561, 2402 |
F_55_59 |
Female population age 55-59 | integer | 0% | 23 | 4160, 6765, 1626, 7932, 1826 |
F_60_64 |
Female population age 60-64 | integer | 0% | 23 | 2669, 4688, 1046, 5645, 1052 |
F_65_69 |
Female population age 65-69 | integer | 0% | 23 | 1694, 3308, 675, 3960, 609 |
F_70_74 |
Female population age 70-74 | integer | 0% | 23 | 1089, 2471, 452, 2732, 406 |
F_75_79 |
Female population age 75-79 | integer | 0% | 23 | 625, 1645, 272, 1704, 236 |
F_80Plus |
F_80Plus | integer | 0% | 23 | 443, 1678, 201, 1506, 152 |
M_00_04 |
Male population age 0-4 | integer | 0% | 23 | 40856, 72334, 15817, 92324, 17298 |
M_05_09 |
Male population age 5-9 | integer | 0% | 23 | 33115, 59324, 13378, 74849, 14492 |
M_10_14 |
Male population age 10-14 | integer | 0% | 23 | 26381, 67430, 9482, 62792, 9826 |
M_15_19 |
Male population age 15-19 | integer | 0% | 23 | 26317, 50315, 9117, 55524, 10064 |
M_20_24 |
Male population age 20-24 | integer | 0% | 23 | 22457, 29769, 7616, 38904, 9584 |
M_25_29 |
Male population age 25-29 | integer | 0% | 23 | 17192, 19897, 6041, 27690, 8001 |
M_30_34 |
Male population age 30-34 | integer | 0% | 23 | 10455, 13265, 4737, 20366, 5877 |
M_35_39 |
Male population age 35-39 | integer | 0% | 23 | 7059, 10287, 3769, 16230, 4373 |
M_40_44 |
Male population age 40-44 | integer | 0% | 23 | 5798, 10821, 2819, 14787, 2894 |
M_45_49 |
Male population age 45-49 | integer | 0% | 23 | 5153, 10122, 2336, 13078, 2215 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2024.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 73.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .td |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 13.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | (2024 est.) The telephone system is down. No data is... |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 2024.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2024 est.) The telephone system is down. No data is... |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 14.8 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 14.8 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 73 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 1 state-owned TV station; 2 privately-owned TV stations;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 13% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 0 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 0.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.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 | 2600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 20.626 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 44.8 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | oil-dependent economy challenged by market fluctuations,... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 20.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $52.895 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 | 52.895 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $51.03 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 | 51.03 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $49.012 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 49.012 |
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 | 3.7% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 12.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 12.9 |
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 | $2,600 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2700.0 |
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 | $20.626 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 8.9% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 8.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 10.8% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 10.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5.8% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.8 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +109 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 | 11.7 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | 11.7% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 46.3% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 46.3 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 1.3% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 1.3 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 167,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 167000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 282.103 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 282.103 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 109.04 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 109.04 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 94.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 94.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.8 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 2.3% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 2.3 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 2.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 2.6 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 20 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 20.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 124,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 124000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 15,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 15000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 1.5 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 1.5 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 1.502 million Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 1.502 |
source_section |
source_section | string | 0% | 1 | Energy |
| +1 more extension field — 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 | 40.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 3.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 24.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.1 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.359 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | inadequate supplies of potable water; soil and water... |
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 | Marine Dumping-London Convention |
climate_text |
climate_text | string | 0% | 1 | tropical in south, desert in north |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 40% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 35.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 35.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 3.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 57% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 57.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 24.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.1% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 2.054 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 2.054 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 2 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 | 2.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.054 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 2.054 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 41.2 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 41.2 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 101.8 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 101.8 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 1,282.9 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 1282.9 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 60.3 kt (2019-2021 est.) |
methane_emissions_waste_numeric |
methane_emissions_waste_numeric | float | 0% | 1 | 60.3 |
| +15 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 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | Chadian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Chadian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Sara (Ngambaye/Sara/Madjingaye/Mbaye) 30.5%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 30.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1.284 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1259200.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 24800.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 6406.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3445.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 160.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 40.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 3.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 300.0 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central Africa, south of Libya |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 15 00 N, 19 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 1.284 million sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,259,200 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 24,800 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | almost nine times the size of New York state; slightly... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 6,406 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Cameroon 1,116 km; Central African Republic 1,556 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1116.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | tropical in south, desert in north |
terrain_text |
terrain_text | string | 0% | 1 | broad, arid plains in center, desert in north, mountains... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Emi Koussi 3,445 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Djourab 160 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 543 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 543.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, uranium, natron, kaolin, fish (Lake Chad),... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 40% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 35.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 35.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 3.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 57% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 57.0 |
| +14 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 | TCD |
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 Chad |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Chad |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République du Tchad/Jumhuriyat Tshad |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Tchad/Tshad |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for Lake Chad, which lies along the country's... |
country_name_note |
country_name_note | string | 0% | 1 | note: the only country whose name is composed of a... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | N'Djamena |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 12 06 N, 15 02 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 12.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+1 (6 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | said to derive its name from a local word meaning "place of rest" |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 23 provinces; Barh-El-Gazel, Batha, Borkou,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 23.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted by National... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 27.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | previous process: proposed as a revision by the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | both parents must be citizens of Chad |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | Chadian law does not address dual citizenship |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 15 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 15.0 |
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 Mahamat Idriss DÉBY (since 6 May 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 6.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Allamaye HALINA (since 23 May 2024) |
| +87 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 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Chad emerged from a collection of powerful states that... |
background_numeric |
background_numeric | float | 0% | 1 | 9.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | French (official), Arabic (official), Sara (in south),... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 120.0 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | The World Factbook, une source indispensable... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | 1,286,645 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1286645.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 1,542,532 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 1542532.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Chad does not fully meet the minimum standards... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | Chadian National Army (Armee Nationale du Tchad, ANT):... |
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 | 3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.9% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.9 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.9% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.9 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 35-40,000 active Chadian National Army personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 35.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the ANT has a mix of older, secondhand, and some more... |
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 | 18-25 for voluntary service; men subject to 18-36 months... |
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 | note: Chad has committed approximately 1,000-1,500... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 1000.0 |
military_note_text |
military_note_text | string | 0% | 1 | internal security is the primary focus of the Chadian... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2021.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 19674004.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 9756129.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 9917875.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 45.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 51.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 92.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 87.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 16.9 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.98 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 38.62 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.75 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.12 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 24.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.1 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.04 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.98 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 748.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 61.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 60.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 5.13 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.51 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.09 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 30.6 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | 19,674,004 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 9,756,129 |
population_female_text |
population_female_text | string | 0% | 1 | 9,917,875 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 45.8% (male 4,428,132/female 4,323,398) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 51.7% (male 4,831,744/female 5,031,383) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.5% (2024 est.) (male 204,823/female 274,115) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 92.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 87.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 20.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 20.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 16.9 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 16.3 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 16.3 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 17.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 17.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.98% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 38.62 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.75 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.12 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is unevenly distributed due to contrasts... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 24.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.1% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.592 million N'DJAMENA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.592 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.96 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.96 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 52.1 |
composition_ethnicity_primary_label_synth |
Sara (Ngambaye/Sara/Madjingaye/Mbaye) | string | CCL | 0% | - | Sara (Ngambaye/Sara/Madjingaye/Mbaye) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 52.1%, Protestant 23.9%, Roman Catholic 20%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 52.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 23.9 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 20.0 |
composition_religion_animist_pct_synth |
animist | numeric | 0% | - | 0.3 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 0.2 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 2.8 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.7 |
composition_ethnicity_sara_ngambaye_sara_madjingaye_mbaye_pct_synth |
Sara (Ngambaye/Sara/Madjingaye/Mbaye) | numeric | 0% | - | 30.5 |
composition_ethnicity_kanembu_bornu_buduma_pct_synth |
Kanembu/Bornu/Buduma | numeric | 0% | - | 9.8 |
composition_ethnicity_arab_pct_synth |
Arab | numeric | 0% | - | 9.7 |
composition_ethnicity_wadai_maba_masalit_mimi_pct_synth |
Wadai/Maba/Masalit/Mimi | numeric | 0% | - | 7.0 |
composition_ethnicity_gorane_pct_synth |
Gorane | numeric | 0% | - | 5.8 |
composition_ethnicity_masa_musseye_musgum_pct_synth |
Masa/Musseye/Musgum | numeric | 0% | - | 4.9 |
composition_ethnicity_bulala_medogo_kuka_pct_synth |
Bulala/Medogo/Kuka | numeric | 0% | - | 3.7 |
composition_ethnicity_marba_lele_mesme_pct_synth |
Marba/Lele/Mesme | numeric | 0% | - | 3.5 |
composition_ethnicity_mundang_pct_synth |
Mundang | numeric | 0% | - | 2.7 |
composition_ethnicity_bidiyo_migaama_kenga_dangleat_pct_synth |
Bidiyo/Migaama/Kenga/Dangleat | numeric | 0% | - | 2.5 |
composition_ethnicity_dadjo_kibet_muro_pct_synth |
Dadjo/Kibet/Muro | numeric | 0% | - | 2.4 |
composition_ethnicity_tupuri_kera_pct_synth |
Tupuri/Kera | numeric | 0% | - | 2.0 |
composition_ethnicity_gabri_kabalaye_nanchere_somrai_pct_synth |
Gabri/Kabalaye/Nanchere/Somrai | numeric | 0% | - | 2.0 |
composition_ethnicity_fulani_fulbe_bodore_pct_synth |
Fulani/Fulbe/Bodore | numeric | 0% | - | 1.8 |
composition_ethnicity_karo_zime_peve_pct_synth |
Karo/Zime/Peve | numeric | 0% | - | 1.3 |
composition_ethnicity_baguirmi_barma_pct_synth |
Baguirmi/Barma | numeric | 0% | - | 1.2 |
composition_ethnicity_zaghawa_bideyat_kobe_pct_synth |
Zaghawa/Bideyat/Kobe | numeric | 0% | - | 1.1 |
composition_ethnicity_tama_assongori_mararit_pct_synth |
Tama/Assongori/Mararit | numeric | 0% | - | 1.1 |
composition_ethnicity_mesmedje_massalat_kadjakse_pct_synth |
Mesmedje/Massalat/Kadjakse | numeric | 0% | - | 0.8 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 4.6 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 1.7 |
composition_ethnicity_primary_share_pct_synth |
Sara (Ngambaye/Sara/Madjingaye/Mbaye) | numeric | 0% | - | 30.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
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 | Boko Haram; Islamic State of Iraq and ash-Sham - West... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.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 | TT |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 44.0 |
country_code |
Country code | string | SEL | 0% | 1 | TCD |
country_name |
Country name | string | SEL | 0% | 1 | Chad |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 44 (2025) |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cd.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD, TCD, TCD, TCD, TCD |
society_id |
Society id | string | CCL | 0% | 10 | Ai13, Ai21, Ai22, Ai9, Cb14 |
society_name |
Society name | string | CCL | 0% | 10 | Laka, Bagirmi, Sara, Masa, Hemat |
language_glottocode |
Language glottocode | string | CCL | 0% | 10 | laka1254, bagi1246, sarr1246, masa1322, bath1248 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 9 | EA001:0; EA002:1; EA003:3; EA004:1; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 7 | EA006:1; EA007:8; EA008:8; EA009:6; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 9 | EA028:3; EA029:6; EA030:7; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 7 | EA033:1; EA034:NA; EA035:NA, EA033:4; EA034:4; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 7 | EA034:NA; EA112:NA, EA034:4; EA112:3, EA034:NA;... |
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 | Chad, Chad, Chad, Chad, Chad |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 8 | 8.0, 11.0, 9.0, 10.0, 11.0 |
longitude |
longitude | float | 0% | 6 | 16.0, 17.0, 18.0, 16.0, 20.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TCD, TCD, TCD, TCD, TCD |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Sara, Arabs, Hadjerai, Toubou, Zaghawa, Bideyat |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | POWERLESS, JUNIOR PARTNER, JUNIOR PARTNER, POWERLESS,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.277, 0.123, 0.067, 0.063, 0.01 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 48304000, 48301000, 48302100, 48306000, 48302200 |
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 | TCD, TCD, TCD |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | fra, ara, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | French, Arabic, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 2845, 371, 61 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 86.8172, 11.3213, 1.8615 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 0, 290, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | , Arab, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | , Arabic, |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 0, 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | TCD |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Chad |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9824 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 290 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 28405 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 22391 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 28400 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 5 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 674 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 138 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 14859 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11707 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 8221 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 6504 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4000 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3464 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 467 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 407 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 152 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 140 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 32 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 31 |
| 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) | 2,845 | 86.8% | — |
| Arabic (ara) | 371 | 11.3% | Arabic |
| English (eng) | 61 | 1.9% | — |
22,391 distinct features ·
3 languages ·
1 script ·
290 names in non-Roman script ·
5 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.