ⓘ 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 | 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 |
|---|---|---|---|---|---|---|
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_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 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 | 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 | TCD |
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 | 187 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 2 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 2 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 2 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 6 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 8.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 8 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 8.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 101 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 4.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 4.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 4 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 38 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.9 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.38 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 6.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 69 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.1 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.35 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 5.05 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 34 |
| +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) | 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.