ⓘ 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 | UGA, UGA, UGA, UGA, UGA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 10 | Total, Central 1 (Central South), Central 2 (Central... |
human_development_index |
Human development index | float | SEL | 0% | 72 | 0.364, 0.377, 0.381, 0.375, 0.367 |
health_index |
Health index | float | SEL | 0% | 57 | 0.424, 0.411, 0.45, 0.449, 0.466 |
education_index |
Education index | float | SEL | 0% | 86 | 0.319, 0.35, 0.338, 0.332, 0.318 |
income_index |
Income index | float | SEL | 0% | 67 | 0.357, 0.373, 0.363, 0.354, 0.334 |
life_expectancy |
Life expectancy | float | SEL | 0% | 89 | 47.56, 46.73, 49.24, 49.18, 50.29 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 4.788, 5.567, 5.177, 4.88, 4.439 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | UG |
region_name |
Region name | string | SEL | 0% | 1 | Uganda |
F_TL |
Female population | integer | SEL | 0% | 1 | 23714926 |
M_TL |
Male population | integer | SEL | 0% | 1 | 22495832 |
T_TL |
Total population | integer | SEL | 0% | 1 | 46210758 |
| 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 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 4274083 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 3577713 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 3003324 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 2668456 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 2165948 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1839832 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1540185 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 1177866 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 875733 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 684354 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 535370 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 414044 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 327937 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 227795 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 173360 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 121134 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 107792 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 4384548 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 3689083 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 3066259 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 2639546 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1989818 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1538841 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 1247979 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 986219 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 744005 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 602788 |
| +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% | 4 | UG1, UG2, UG3, UG4 |
region_name |
Region name | string | SEL | 0% | 4 | Central, Eastern, Northern, Western |
F_TL |
Female population | integer | SEL | 0% | 4 | 6602989, 6178323, 4917763, 6015851 |
M_TL |
Male population | integer | SEL | 0% | 4 | 6314680, 5845100, 4591619, 5744433 |
T_TL |
Total population | integer | SEL | 0% | 4 | 12917669, 12023423, 9509382, 11760284 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 4 | 1123133, 1161997, 878786, 1110167 |
F_05_09 |
Female population age 5-9 | integer | 0% | 4 | 894841, 987319, 797690, 897863 |
F_10_14 |
Female population age 10-14 | integer | 0% | 4 | 764751, 836947, 662054, 739572 |
F_15_19 |
Female population age 15-19 | integer | 0% | 4 | 759210, 698918, 557927, 652401 |
F_20_24 |
Female population age 20-24 | integer | 0% | 4 | 722559, 511882, 405050, 526457 |
F_25_29 |
Female population age 25-29 | integer | 0% | 4 | 622707, 404334, 355413, 457378 |
F_30_34 |
Female population age 30-34 | integer | 0% | 4 | 477874, 358747, 305094, 398470 |
F_35_39 |
Female population age 35-39 | integer | 0% | 4 | 354589, 284834, 232180, 306263 |
F_40_44 |
Female population age 40-44 | integer | 0% | 4 | 235466, 231800, 174390, 234077 |
F_45_49 |
Female population age 45-49 | integer | 0% | 4 | 178972, 181973, 143042, 180367 |
F_50_54 |
Female population age 50-54 | integer | 0% | 4 | 139669, 143164, 104309, 148228 |
F_55_59 |
Female population age 55-59 | integer | 0% | 4 | 105126, 108366, 88366, 112186 |
F_60_64 |
Female population age 60-64 | integer | 0% | 4 | 79273, 90167, 69775, 88722 |
F_65_69 |
Female population age 65-69 | integer | 0% | 4 | 47195, 58854, 64197, 57549 |
F_70_74 |
Female population age 70-74 | integer | 0% | 4 | 40948, 51632, 34264, 46516 |
F_75_79 |
Female population age 75-79 | integer | 0% | 4 | 28959, 36057, 26485, 29633 |
F_80Plus |
F_80Plus | integer | 0% | 4 | 27717, 31332, 18741, 30002 |
M_00_04 |
Male population age 0-4 | integer | 0% | 4 | 1176428, 1183931, 889381, 1134808 |
M_05_09 |
Male population age 5-9 | integer | 0% | 4 | 940390, 1016737, 806005, 925951 |
M_10_14 |
Male population age 10-14 | integer | 0% | 4 | 769696, 858175, 675366, 763022 |
M_15_19 |
Male population age 15-19 | integer | 0% | 4 | 698001, 714223, 568321, 659001 |
M_20_24 |
Male population age 20-24 | integer | 0% | 4 | 632774, 476036, 373824, 507184 |
M_25_29 |
Male population age 25-29 | integer | 0% | 4 | 532882, 323745, 286114, 396100 |
M_30_34 |
Male population age 30-34 | integer | 0% | 4 | 419181, 272342, 231883, 324573 |
M_35_39 |
Male population age 35-39 | integer | 0% | 4 | 329838, 220091, 184166, 252124 |
M_40_44 |
Male population age 40-44 | integer | 0% | 4 | 228519, 184985, 137090, 193411 |
M_45_49 |
Male population age 45-49 | integer | 0% | 4 | 178286, 153078, 116332, 155092 |
| +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% | 100 | UG1001, UG1002, UG1003, UG1004, UG1005 |
region_name |
Region name | string | SEL | 0% | 100 | Buikwe, Bukomansimbi, Butambala, Buvuma, Gomba |
F_TL |
Female population | integer | SEL | 0% | 100 | 262652, 83534, 58087, 70586, 90919 |
M_TL |
Male population | integer | SEL | 0% | 100 | 252022, 81689, 57049, 81442, 95538 |
T_TL |
Total population | integer | SEL | 0% | 100 | 514674, 165223, 115136, 152028, 186457 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 100 | 44534, 14345, 10384, 15390, 16771 |
F_05_09 |
Female population age 5-9 | integer | 0% | 100 | 38777, 13295, 9235, 10008, 14623 |
F_10_14 |
Female population age 10-14 | integer | 0% | 100 | 34278, 12202, 8528, 6556, 12835 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 30741, 8412, 6575, 5724, 8904 |
F_20_24 |
Female population age 20-24 | integer | 0% | 100 | 24825, 5600, 4242, 7034, 6607 |
F_25_29 |
Female population age 25-29 | integer | 0% | 100 | 20992, 4941, 3621, 6892, 5673 |
F_30_34 |
Female population age 30-34 | integer | 0% | 100 | 16719, 4758, 3213, 5896, 5372 |
F_35_39 |
Female population age 35-39 | integer | 0% | 100 | 13183, 4101, 2720, 4456, 4311 |
F_40_44 |
Female population age 40-44 | integer | 0% | 98 | 9626, 3359, 2120, 3246, 3565 |
F_45_49 |
Female population age 45-49 | integer | 0% | 99 | 7803, 2752, 1772, 2114, 2842 |
F_50_54 |
Female population age 50-54 | integer | 0% | 99 | 6603, 2454, 1567, 1421, 2536 |
F_55_59 |
Female population age 55-59 | integer | 0% | 99 | 4546, 2237, 1214, 706, 2140 |
F_60_64 |
Female population age 60-64 | integer | 0% | 98 | 3691, 1683, 993, 538, 1728 |
F_65_69 |
Female population age 65-69 | integer | 0% | 98 | 1957, 1052, 550, 212, 905 |
F_70_74 |
Female population age 70-74 | integer | 0% | 97 | 1935, 1035, 590, 185, 925 |
F_75_79 |
Female population age 75-79 | integer | 0% | 95 | 1148, 737, 407, 85, 599 |
F_80Plus |
F_80Plus | integer | 0% | 97 | 1294, 571, 356, 123, 583 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 46662, 15275, 11097, 16288, 18168 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 40599, 14530, 10256, 10422, 15615 |
M_10_14 |
Male population age 10-14 | integer | 0% | 100 | 34891, 13348, 9343, 6873, 14201 |
M_15_19 |
Male population age 15-19 | integer | 0% | 100 | 31179, 9475, 6828, 6680, 11124 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 22742, 5566, 4063, 7581, 7262 |
M_25_29 |
Male population age 25-29 | integer | 0% | 100 | 17810, 4114, 3078, 7847, 5571 |
M_30_34 |
Male population age 30-34 | integer | 0% | 100 | 13813, 3618, 2444, 7044, 4926 |
M_35_39 |
Male population age 35-39 | integer | 0% | 100 | 11085, 3375, 2258, 5720, 4152 |
M_40_44 |
Male population age 40-44 | integer | 0% | 98 | 8261, 2613, 1740, 4250, 3364 |
M_45_49 |
Male population age 45-49 | integer | 0% | 99 | 6906, 2389, 1448, 3017, 2870 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UG, UG, UG, UG, UG |
population_count |
Population count | float | SEL | 2% | 65 | 7640973.0, 7862217.0, 8092231.0, 8333663.0, 8586363.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.633, 46.271, 46.821, 47.378, 47.846 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 55.3784976132181, 56.1759278091596, 55.5048704604887,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 56.1100006103516, 68.1399993896484, 71.370002746582,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 223.3, 219.4, 215.8, 212.5, 209.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 86% | 9 | 56.4, 44.4, 33.8, 38.8, 31.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
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 | UG, UG, UG, UG, UG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.633, 46.271, 46.821, 47.378, 47.846 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 11% | 57 | 59.8, 58.7, 57.6, 56.4, 55.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 223.3, 219.4, 215.8, 212.5, 209.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 842.0, 781.0, 709.0, 655.0, 609.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.905, 6.927, 6.959, 6.984, 7.012 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 62 | 48.586, 48.215, 47.989, 47.825, 47.745 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 19.129, 18.593, 18.144, 17.72, 17.379 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 15 | 0.074, 0.09, 0.108, 0.108, 0.047 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 88% | 8 | 1.4807984828949, 1.55869996547699, 1.64849996566772,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 32 | 9.0, 12.0, 14.0, 14.0, 14.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 5.0827775, 5.05208397, 4.77136898, 4.2991581, 4.70022202 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 61 | acol1236, adho1243, alur1250, amba1263, arin1244 |
name |
Name | string | CCL | 0% | 61 | Acoli, Adhola, Alur, Amba (Uganda), Aringa |
iso639_3 |
Iso639 3 | string | CCL | 5% | 58 | ach, adh, alz, rwm, luc |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 9 | nilo1247, nilo1247, nilo1247, atla1278, cent2225 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 43 | sout2831, adho1242, adho1241, komo1265, lugb1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 14 | ['SS', 'UG'], ['KE', 'UG'], ['CD', 'UG'], ['CD', 'UG'],... |
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 | 3, 0, 4, 3, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 59 | 3.57738, 0.73235, 2.36213, 0.81206, 3.56143 |
longitude |
longitude | float | 3% | 59 | 32.5147, 34.0341, 31.0016, 30.0014, 31.3071 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Uganda |
admin_code |
Admin code | string | SEL | 0% | 1 | 62106908B38903582654399 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 209008.3551 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 49120475 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 235.02 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 4 | Central Region, Eastern Region, Western Region, Northern Region |
admin_code |
Admin code | string | SEL | 0% | 4 | 17295835B48340970483027, 17295835B57878138064711,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 4 | 40587.1064, 31816.9498, 51354.8379, 85248.4499 |
pop_2024 |
Population count | integer | SEL | 0% | 4 | 13624446, 12812782, 12498182, 10181811 |
pop_density_2024 |
Population density | float | SEL | 0% | 4 | 335.68, 402.7, 243.37, 119.44 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 25 | Kampala, Mbale City, Bukalasi, Jinja, Gulu |
admin_code |
Admin code | integer | SEL | 0% | 25 | 1711, 2444, 2514, 2134, 1618 |
area_sqkm |
Area sqkm | float | SEL | 0% | 25 | 804.5776, 106.284, 158.93, 72.5113, 47.6808 |
pop_2024 |
Population count | integer | SEL | 0% | 25 | 4875330, 358769, 334420, 246228, 211463 |
pop_density_2024 |
Population density | float | SEL | 0% | 25 | 6059.49, 3375.57, 2104.2, 3395.72, 4434.97 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 25 | 5177878, 380225, 374528, 245759, 205487 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 25 | 0.942, 0.944, 0.893, 1.002, 1.029 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 25 | Kampala, Mbale City, Bukalasi, Mbarara, Jinja |
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
population |
Population count | integer | SEL | 0% | 25 | 5177878, 380225, 374528, 285352, 245759 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 25 | 1711, 2444, 2514, 599, 2134 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
society_id |
Society id | string | CCL | 0% | 16 | Ad42, Ad44, Ad45, Ad46, Ad48 |
society_name |
Society name | string | CCL | 0% | 16 | Haya, Konjo, Nyankole, Soga, Toro |
language_glottocode |
Language glottocode | string | CCL | 0% | 16 | haya1250, konz1239, nyan1307, soga1242, toor1238 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 14 | EA001:0; EA002:0; EA003:2; EA004:3; EA005:5, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 9 | EA006:1; EA007:8; EA008:5; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 14 | EA028:5; EA029:4; EA030:5; EA031:4; EA032:2, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 10 | EA033:3; EA034:2; EA035:NA, EA033:1; EA034:2; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 10 | EA034:2; EA112:NA, EA034:2; EA112:8, EA034:2; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | 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 | Uganda, Uganda, Uganda, Uganda, Uganda |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | -1.0, -1.0, 0.0, 1.0, 1.0 |
longitude |
longitude | float | 0% | 5 | 32.0, 30.0, 31.0, 33.0, 31.0 |
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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 83.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ug |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 15.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | 116,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 116000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 41.6 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 41.6 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 83 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | public broadcaster, Uganda Broadcasting Corporation... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 31.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 15% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 44,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 44000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.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 | 2900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 53.652 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 20.3 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | low-income, primarily agrarian East African economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $144.137 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 | 144.137 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $135.803 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 | 135.803 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $128.923 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 | 128.923 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 6.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.3% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.6 |
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 | $2,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2800.0 |
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 | $53.652 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.3% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.4% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +123 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 | 47.1 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | 47.1% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 72% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 72.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 35.9% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 35.9 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 1.452 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 1.452 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 4.254 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 4.254 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 400.349 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 400.349 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 23.289 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 23.289 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.116 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.116 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 2.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 2.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.6% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 86.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 86.6 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 8.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 8.2 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 19 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 19.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 100 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 100.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 19 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 19.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 799.999 million metric tons (2023 est.) |
| +11 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 71.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.41 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 7.045 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | draining of wetlands for agricultural use;... |
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 | Environmental Modification |
climate_text |
climate_text | string | 0% | 1 | tropical; generally rainy with two dry seasons (December... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 71.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 11% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 11.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 26.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 26.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.41% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 6.354 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 6.354 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | -398 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 | -398.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 6.354 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 | 6.354 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 31.3 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 31.3 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 7.045 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 24.1% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 24.1 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 328 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 328.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 50 million cubic meters (2022 est.) |
| +7 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 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | Ugandan(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Ugandan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Baganda 16.5%, Banyankole 9.6%, Basoga 8.8%, Bakiga... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 16.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 241038.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 197100.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 43938.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2729.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 5110.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 614.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 71.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 105.0 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | East-Central Africa, west of Kenya, east of the... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 1 00 N, 32 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 1.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 241,038 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 197,100 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 43,938 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than two times the size of Pennsylvania;... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,729 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Democratic Republic of the Congo 877 km; Kenya 814 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 877.0 |
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; generally rainy with two dry seasons (December... |
terrain_text |
terrain_text | string | 0% | 1 | mostly plateau with rim of mountains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Margherita Peak on Mount Stanley 5,110 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Albert Nile 614 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | copper, cobalt, hydropower, limestone, salt, arable land, gold |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 71.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 11% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 11.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 26.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 26.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.0 |
irrigated_land_text |
irrigated_land_text | string | 0% | 1 | 105 sq km (2013) |
major_lakes_area_sq_km_fresh_water_lake_s_text |
major_lakes_area_sq_km_fresh_water_lake_s_text | string | 0% | 1 | Lake Victoria (shared with Tanzania and Kenya) - 62,940... |
| +10 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 | UGA |
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 Uganda |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Uganda |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name is derived from the Swahili word u, meaning... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Kampala |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 0 19 N, 32 33 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 0.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name is said to come from an African antelope, the impala |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 134 districts and 1 capital city*; Abim, Adjumani,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 134.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 27 September 1995,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 27.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage requires at... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent or grandparent must be a native-born... |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | an aggregate of 20 years and continuously for the last 2... |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 20.0 |
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 Yoweri Kaguta MUSEVENI (since 26 January 1986) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 26.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Robinah NABBANJA (since 14 June 2021) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 14.0 |
executive_branch_cabinet_text |
executive_branch_cabinet_text | string | 0% | 1 | Cabinet appointed by the president from among elected... |
executive_branch_election_appointment_process_text |
executive_branch_election_appointment_process_text | string | 0% | 1 | president directly elected by absolute-majority popular... |
| +69 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 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | An ancient crossroads for various migrations, Uganda has... |
background_numeric |
background_numeric | float | 0% | 1 | 65.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | English (official), Ganda or Luganda (most widely used... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | 1,796,597 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1796597.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 22,209 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 22209.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 10,284 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 10284.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | Uganda People's Defense Force (UPDF): Land Force... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.2 |
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 | 2.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 1.7% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 1.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 45,000 active Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 45000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | most of the UPDF's arms are of Russian/Soviet origin... |
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 | 18-22 years of age for voluntary military duty for men... |
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 | estimated 3,000 Democratic Republic of Congo; up to... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 3000.0 |
military_note_text |
military_note_text | string | 0% | 1 | the responsibilities of the Uganda People's Defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1895.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 50863850.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 24835513.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 26028337.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 47.0 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 50.6 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 96.9 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 92.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 16.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 3.13 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 38.91 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.61 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.96 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.41 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.95 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 170.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 27.5 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 69.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 5.08 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.5 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.19 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 69.1 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | 50,863,850 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 24,835,513 |
population_female_text |
population_female_text | string | 0% | 1 | 26,028,337 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 47% (male 11,747,745/female 11,427,932) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 50.6% (male 11,788,483/female 13,131,051) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.4% (2024 est.) (male 504,332/female 683,498) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 96.9 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 92.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 20.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 20.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 16.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 15.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 15.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 17.1 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 17.1 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 3.13% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 38.91 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.61 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.96 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population density is relatively high in comparison to... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.41% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.846 million KAMPALA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.846 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.03 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.9 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.9 |
| +92 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 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 13.7 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.6 |
composition_ethnicity_primary_label_synth |
other | string | CCL | 0% | - | other |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 45.1% (Anglican 32.0%, Pentecostal/Born... |
religions_numeric |
religions_numeric | float | 0% | 1 | 45.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 45.1 |
composition_religion_protestant__anglican_pct_synth |
Anglican | numeric | 0% | - | 32.0 |
composition_religion_protestant__pentecostal_born_again_evangelical_pct_synth |
Pentecostal/Born Again/Evangelical | numeric | 0% | - | 11.1 |
composition_religion_protestant__seventh_day_adventist_pct_synth |
Seventh Day Adventist | numeric | 0% | - | 1.7 |
composition_religion_protestant__baptist_pct_synth |
Baptist | numeric | 0% | - | 0.3 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 39.3 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 0.2 |
composition_ethnicity_baganda_pct_synth |
Baganda | numeric | 0% | - | 16.5 |
composition_ethnicity_banyankole_pct_synth |
Banyankole | numeric | 0% | - | 9.6 |
composition_ethnicity_basoga_pct_synth |
Basoga | numeric | 0% | - | 8.8 |
composition_ethnicity_bakiga_pct_synth |
Bakiga | numeric | 0% | - | 7.1 |
composition_ethnicity_iteso_pct_synth |
Iteso | numeric | 0% | - | 7.0 |
composition_ethnicity_langi_pct_synth |
Langi | numeric | 0% | - | 6.3 |
composition_ethnicity_bagisu_pct_synth |
Bagisu | numeric | 0% | - | 4.9 |
composition_ethnicity_acholi_pct_synth |
Acholi | numeric | 0% | - | 4.4 |
composition_ethnicity_lugbara_pct_synth |
Lugbara | numeric | 0% | - | 3.3 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 32.1 |
composition_ethnicity_primary_share_pct_synth |
other | numeric | 0% | - | 32.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
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 | al-Shabaab; Islamic State of Iraq and ash-Sham -... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.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 | 5X |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 39.0 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 5.0 |
airports_text |
airports_text | string | 0% | 1 | 39 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 1,244 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 1244.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 1,244 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 1244.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 9 | Baganda, South-Westerners (Ankole, Banyoro, Toro),... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 5 | JUNIOR PARTNER, SENIOR PARTNER, POWERLESS, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 8 | 0.16, 0.141, 0.1, 0.08, 0.08 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 9 | 50002000, 50011090, 50009120, 50004000, 50009210 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | 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 | UGA |
economic_conditions |
Economic conditions | integer | CCL | 0% | 1 | 1 |
living_conditions |
Living conditions | integer | CCL | 0% | 1 | 1 |
employment_situation |
Employment situation | integer | CCL | 0% | 1 | 1 |
food_insecurity |
Food insecurity | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
women_equal_rights |
Women equal rights | integer | CCL | 0% | 1 | 1 |
women_political_leaders |
Women political leaders | integer | CCL | 0% | 1 | 1 |
women_land_rights |
Women land rights | integer | CCL | 0% | 1 | 1 |
domestic_violence_justified |
Domestic violence justified | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
trust_president |
Trust president | integer | CCL | 0% | 1 | 1 |
trust_parliament |
Trust parliament | integer | CCL | 0% | 1 | 1 |
trust_courts |
Trust courts | integer | CCL | 0% | 1 | 1 |
trust_police |
Trust police | integer | CCL | 0% | 1 | 1 |
trust_army |
Trust army | integer | CCL | 0% | 1 | 1 |
corruption_perception |
Corruption perception | integer | CCL | 0% | 1 | 1 |
democracy_satisfaction |
Democracy satisfaction | integer | CCL | 0% | 1 | 1 |
democracy_preference |
Democracy preference | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
emigration_considered |
Emigration considered | integer | CCL | 0% | 1 | 1 |
immigration_attitude |
Immigration attitude | integer | CCL | 0% | 1 | 1 |
foreign_workers_attitude |
Foreign workers attitude | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
trust_relatives |
Trust relatives | integer | CCL | 0% | 1 | 1 |
trust_neighbors |
Trust neighbors | integer | CCL | 0% | 1 | 1 |
trust_other_ethnic |
Trust other ethnic | integer | CCL | 0% | 1 | 1 |
trust_other_religion |
Trust other religion | integer | CCL | 0% | 1 | 1 |
national_identity_vs_ethnic |
National identity vs ethnic | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UG, UG, UG, UG |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 4 | -3.18, 3.52, -0.71, -1.42 |
grocery |
grocery | float | 0% | 4 | 2.38, -2.65, 0.0, -1.51 |
parks |
parks | float | 0% | 4 | 7.39, -0.02, 1.09, 9.56 |
transit |
transit | float | 0% | 4 | -5.32, 0.0, -1.72, -18.08 |
workplaces |
workplaces | float | 0% | 4 | 6.49, 26.2, 36.36, 15.42 |
residential |
residential | float | 0% | 4 | 8.97, 2.22, 1.16, 2.39 |
region |
region | string | 0% | 4 | Central Region, Eastern Region, Northern Region, Western Region |
observation_count |
observation_count | integer | 0% | 4 | 7594, 3165, 3420, 3716 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | UGA, UGA, UGA |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | eng, fra, ara |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | English, French, Arabic |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 4347, 4, 4 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.8163, 0.0918, 0.0918 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 0, 0, 2 |
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, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | UGA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Uganda |
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 | 99.9838 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 24623 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 21411 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 24619 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 4 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4910 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4191 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 12391 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11365 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4017 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3263 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1581 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1460 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 603 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 541 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 199 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 151 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 922 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 440 |
| 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 | UGA |
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 | 143 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 3 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 3 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 3 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 53 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 6.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 7 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 89 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 4.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 3 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 33 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.7 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.63 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 6.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 27 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.4 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.65 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 5.35 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 34 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
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 |
|---|---|---|---|
| English (eng) | 4,347 | 99.8% | — |
| French (fra) | 4 | 0.1% | — |
| Arabic (ara) | 4 | 0.1% | Arabic |
21,411 distinct features ·
3 languages ·
1 script ·
2 names in non-Roman script ·
4 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.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| World Bank Open Data | international_organization | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| commercial | bulk_download | |
| World Values Survey | academic | metadata_catalog |
| Afrobarometer | academic | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.