| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 13 | ET01, ET02, ET03, ET04, ET05 |
region_name |
Region name | string | SEL | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
T_TL |
Total population | integer | SEL | 0% | 13 | 5649587, 1989997, 22530515, 39075002, 6355003 |
M_TL |
Male population | integer | SEL | 0% | 13 | 2777801, 1083584, 11289837, 19548351, 3390846 |
F_TL |
Female population | integer | SEL | 0% | 13 | 2871786, 906413, 11240678, 19526651, 2964157 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
admin1Name_en |
admin1Name_en | string | 0% | 13 | Tigray, Afar, Amhara, Oromia, Somali |
T_00_04 |
Total population age 0-4 | integer | 0% | 13 | 752790, 327046, 2797788, 5981785, 1137580 |
T_05_09 |
Total population age 5-9 | integer | 0% | 13 | 803204, 348948, 2985156, 6382384, 1213763 |
T_10_14 |
Total population age 10-14 | integer | 0% | 13 | 843955, 262587, 3187607, 5953358, 1042257 |
T_15_19 |
Total population age 15-19 | integer | 0% | 13 | 656076, 209462, 2553372, 4181816, 659338 |
T_15_17 |
Total population age 15-17 | integer | 0% | 13 | 477295, 152384, 1857578, 3042271, 479668 |
T_18_19 |
Total population age 18-19 | integer | 0% | 13 | 178781, 57078, 695794, 1139545, 179670 |
T_20_24 |
Total population age 20-24 | integer | 0% | 13 | 480311, 166329, 1789393, 2883867, 399063 |
T_25_29 |
Total population age 25-29 | integer | 0% | 13 | 377136, 157077, 1796181, 2809654, 394924 |
T_30_34 |
Total population age 30-34 | integer | 0% | 13 | 294510, 123516, 1236551, 2139507, 327010 |
T_35_39 |
Total population age 35-39 | integer | 0% | 13 | 301990, 105936, 1277778, 2269737, 279004 |
T_40_44 |
Total population age 40-44 | integer | 0% | 13 | 227678, 79631, 916270, 1504538, 265775 |
T_45_49 |
Total population age 45-49 | integer | 0% | 13 | 211634, 59996, 887852, 1147222, 164953 |
T_50_54 |
Total population age 50-54 | integer | 0% | 13 | 172226, 45955, 737148, 950241, 184791 |
T_55_59 |
Total population age 55-59 | integer | 0% | 13 | 133767, 31704, 605054, 737082, 75687 |
T_60_64 |
Total population age 60-64 | integer | 0% | 13 | 101492, 22279, 553173, 678648, 81635 |
T_65plus |
T_65plus | integer | 0% | 13 | 292817, 49531, 1207194, 1455165, 129224 |
M_00_04 |
Male population age 0-4 | integer | 0% | 13 | 370133, 178081, 1401946, 2992553, 606980 |
M_05_09 |
Male population age 5-9 | integer | 0% | 13 | 394921, 190007, 1495834, 3192964, 647629 |
M_10_14 |
Male population age 10-14 | integer | 0% | 13 | 414958, 142982, 1597281, 2978332, 556118 |
M_15_19 |
Male population age 15-19 | integer | 0% | 13 | 322581, 114055, 1279472, 2092069, 351803 |
M_15_17 |
Male population age 15-17 | integer | 0% | 13 | 234678, 82975, 930816, 1521980, 255937 |
M_18_19 |
Male population age 18-19 | integer | 0% | 13 | 87903, 31080, 348656, 570089, 95866 |
M_20_24 |
Male population age 20-24 | integer | 0% | 13 | 236160, 90569, 896648, 1442734, 212928 |
M_25_29 |
Male population age 25-29 | integer | 0% | 13 | 185431, 85531, 900050, 1405607, 210720 |
M_30_34 |
Male population age 30-34 | integer | 0% | 13 | 144805, 67256, 619624, 1070348, 174483 |
M_35_39 |
Male population age 35-39 | integer | 0% | 13 | 148483, 57684, 640283, 1135499, 148868 |
M_40_44 |
Male population age 40-44 | integer | 0% | 13 | 111945, 43361, 459134, 752687, 141810 |
| +21 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 | ET0101, ET0102, ET0103, ET0104, ET0105 |
region_name |
Region name | string | SEL | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
T_TL |
Total population | integer | SEL | 0% | 100 | 902719, 1475184, 1273918, 830878, 525923 |
M_TL |
Male population | integer | SEL | 0% | 100 | 446866, 724860, 607861, 407879, 271329 |
F_TL |
Female population | integer | SEL | 0% | 100 | 455853, 750324, 666057, 422999, 254594 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 2 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
admin2Name_en |
admin2Name_en | string | 8% | 92 | North Western, Central, Eastern, Southern, Western |
T_00_04 |
Total population age 0-4 | integer | 0% | 100 | 120284, 196564, 169746, 110712, 70078 |
T_05_09 |
Total population age 5-9 | integer | 0% | 100 | 128340, 209728, 181113, 118126, 74771 |
T_10_14 |
Total population age 10-14 | integer | 0% | 100 | 134851, 220368, 190302, 124119, 78564 |
T_15_19 |
Total population age 15-19 | integer | 0% | 100 | 104831, 171310, 147938, 96488, 61075 |
T_15_17 |
Total population age 15-17 | integer | 0% | 100 | 76265, 124628, 107625, 70195, 44432 |
T_18_19 |
Total population age 18-19 | integer | 0% | 100 | 28566, 46682, 40313, 26293, 16643 |
T_20_24 |
Total population age 20-24 | integer | 0% | 100 | 76746, 125416, 108305, 70639, 44712 |
T_25_29 |
Total population age 25-29 | integer | 0% | 100 | 60261, 98475, 85040, 55465, 35108 |
T_30_34 |
Total population age 30-34 | integer | 0% | 100 | 47058, 76901, 66409, 43313, 27416 |
T_35_39 |
Total population age 35-39 | integer | 0% | 99 | 48253, 78854, 68095, 44413, 28112 |
T_40_44 |
Total population age 40-44 | integer | 0% | 100 | 36380, 59450, 51339, 33484, 21195 |
T_45_49 |
Total population age 45-49 | integer | 0% | 100 | 33816, 55261, 47721, 31125, 19701 |
T_50_54 |
Total population age 50-54 | integer | 0% | 100 | 27519, 44971, 38835, 25329, 16033 |
T_55_59 |
Total population age 55-59 | integer | 0% | 100 | 21374, 34929, 30163, 19673, 12452 |
T_60_64 |
Total population age 60-64 | integer | 0% | 100 | 16217, 26501, 22885, 14926, 9448 |
T_65plus |
T_65plus | integer | 0% | 100 | 46788, 76458, 66027, 43064, 27258 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 59544, 96585, 80996, 54349, 36154 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 63531, 103054, 86420, 57988, 38575 |
M_10_14 |
Male population age 10-14 | integer | 0% | 100 | 66754, 108282, 90804, 60930, 40532 |
M_15_19 |
Male population age 15-19 | integer | 0% | 100 | 51894, 84177, 70590, 47366, 31509 |
M_15_17 |
Male population age 15-17 | integer | 0% | 100 | 37753, 61239, 51354, 34459, 22923 |
M_18_19 |
Male population age 18-19 | integer | 0% | 100 | 14141, 22938, 19236, 12907, 8586 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 37991, 61625, 51679, 34677, 23068 |
M_25_29 |
Male population age 25-29 | integer | 0% | 100 | 29830, 48388, 40578, 27228, 18112 |
M_30_34 |
Male population age 30-34 | integer | 0% | 100 | 23295, 37787, 31688, 21263, 14144 |
M_35_39 |
Male population age 35-39 | integer | 0% | 99 | 23887, 38746, 32492, 21803, 14503 |
M_40_44 |
Male population age 40-44 | integer | 0% | 100 | 18009, 29212, 24497, 16438, 10935 |
| +21 more pending fields — download the CSV/Parquet to see them all. | |||||
ⓘ 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 | ETH, ETH, ETH, ETH, ETH |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 12 | Total, Addis, Affar, Amhara, Ben-Gumz |
human_development_index |
Human development index | float | SEL | 0% | 78 | 0.275, 0.517, 0.22, 0.24, 0.275 |
health_index |
Health index | float | SEL | 0% | 67 | 0.386, 0.477, 0.358, 0.39, 0.378 |
education_index |
Education index | float | SEL | 0% | 86 | 0.164, 0.574, 0.092, 0.113, 0.174 |
income_index |
Income index | float | SEL | 0% | 54 | 0.329, 0.504, 0.32, 0.314, 0.317 |
life_expectancy |
Life expectancy | float | SEL | 0% | 93 | 45.12, 50.99, 43.28, 45.38, 44.56 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 2.462, 11.91, 1.364, 1.307, 2.443 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 9 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Ethiopia |
admin_code |
Admin code | string | SEL | 0% | 1 | 96871213B60890837709686 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1126359.0945 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 118423816 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 105.14 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH, ETH, ETH, ETH, ETH |
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% | 11 | Oromia, Amhara, SNNPR, Tigray, Addis Ababa |
admin_code |
Admin code | string | SEL | 0% | 11 | 75662566B9273833721501, 75662566B52684709481520,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 11 | 322996.3753, 152253.1545, 108942.0415, 52550.4142, 539.194 |
pop_2024 |
Population count | integer | SEL | 0% | 11 | 45128149, 28336649, 24569979, 7589823, 7262149 |
pop_density_2024 |
Population density | float | SEL | 0% | 11 | 139.72, 186.12, 225.53, 144.43, 13468.53 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH, ETH, ETH, ETH, ETH |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Addis Ababa, Mek'elē, Adama, Hawassa, Bishoftu |
admin_code |
Admin code | integer | SEL | 0% | 100 | 5862, 6277, 6449, 5822, 6209 |
area_sqkm |
Area sqkm | float | SEL | 0% | 94 | 462.0379, 66.6004, 61.6031, 58.6168, 63.5919 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 7814324, 867143, 863964, 743558, 642933 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 16912.73, 13020.09, 14024.68, 12685.07, 10110.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 7280463, 381611, 607617, 446057, 421174 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 96 | 1.073, 2.272, 1.422, 1.667, 1.527 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 100 | Addis Ababa, Adama, Bahir Dar, Dire Dawa, Hawassa |
country_code |
Country code | string | SEL | 0% | 1 | ETH, ETH, ETH, ETH, ETH |
population |
Population count | integer | SEL | 0% | 100 | 7280463, 607617, 483228, 482064, 446057 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 5862, 6449, 3517, 7147, 5822 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
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 | ET, ET, ET, ET, ET |
population_count |
Population count | float | SEL | 2% | 65 | 21376693.0, 21906102.0, 22465126.0, 23051637.0, 23666548.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 39.615, 40.198, 40.531, 40.967, 41.261 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 75.3396090705961, 76.7301966411733, 77.7901849782504,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 27.0100002288818, 35.9000015258789, 39.0,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 12% | 58 | 277.6, 248.9, 248.4, 247.9, 247.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 91% | 6 | 45.5, 44.2, 38.7, 29.6, 23.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
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 | ET, ET, ET, ET, ET |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 39.615, 40.198, 40.531, 40.967, 41.261 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 29% | 45 | 66.4, 66.5, 66.8, 66.9, 66.9 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 12% | 58 | 277.6, 248.9, 248.4, 247.9, 247.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 1329.0, 1317.0, 1289.0, 1306.0, 1296.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.514, 6.533, 6.561, 6.586, 6.612 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.871, 48.131, 48.453, 48.717, 49.048 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 23.934, 23.548, 23.363, 23.079, 22.907 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 56% | 21 | 0.009, 0.014, 0.012, 0.012, 0.011 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 89% | 7 | 0.29423388838768, 0.285199999809265, 0.285699993371964,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 31 | 3.0, 3.0, 4.0, 4.0, 6.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.36504698, 4.72316694, 4.7126298, 4.89970922, 4.31281853 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
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% | 53 | 76.1, 79.9, 79.7, 87.8, 84.0 |
men_who_are_literate |
Men who are literate | float | CCL | 20% | 42 | 94.1, 94.1, 94.5, 95.7, 33.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
survey_year |
survey_year | integer | 0% | 5 | 2000, 2005, 2011, 2016, 2019 |
region |
region | string | 0% | 11 | Addis Ababa, Addis Ababa, Addis Ababa, Addis Ababa, Addis Ababa |
survey_id |
survey_id | string | 0% | 5 | ET2000DHS, ET2005DHS, ET2011DHS, ET2016DHS, ET2019DHS |
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% | 50 | 15.6, 16.3, 24.8, 23.2, 24.7 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 41 | 81.0, 45.0, 40.0, 28.0, 21.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 45 | 114.0, 72.0, 53.0, 39.0, 26.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 53 | 73.8, 69.9, 78.7, 89.2, 83.3 |
children_underweight |
Children underweight | float | CCL | 0% | 52 | 11.8, 9.7, 6.4, 5.0, 4.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
survey_year |
survey_year | integer | 0% | 5 | 2000, 2005, 2011, 2016, 2019 |
region |
region | string | 0% | 11 | Addis Ababa, Addis Ababa, Addis Ababa, Addis Ababa, Addis Ababa |
survey_id |
survey_id | string | 0% | 5 | ET2000DHS, ET2005DHS, ET2011DHS, ET2016DHS, ET2019DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | aari1239, adam1253, afar1241, alab1254, amha1245 |
name |
Name | string | CCL | 0% | 100 | Aari, Adamawa Fulfulde, Afar, Alaba-K'abeena, Amharic |
iso639_3 |
Iso639 3 | string | CCL | 7% | 93 | aiw, fub, aar, alw, amh |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 4% | 15 | sout2845, atla1278, afro1255, afro1255, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 4% | 60 | aari1238, adam1260, saho1245, kamb1318, amha1244 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 16 | ['ET'], ['CM', 'ER', 'ET', 'NG', 'SD', 'TD'], ['DJ',... |
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% | 12 | 0, 6, 4, 0, 5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 94 | 5.95034, 8.140326, 12.2281, 7.39014, 11.708182 |
longitude |
longitude | float | 3% | 97 | 36.5721, 13.077338, 41.8083, 38.1732, 39.543456 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | ETH, ETH, ETH, ETH, ETH |
Country |
Country | string | 0% | 1 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
ADM1_PCODE |
ADM1 PCODE | string | 100% | - | - |
ADM1_NAME |
ADM1 NAME | string | 100% | - | - |
ADM2_PCODE |
ADM2 PCODE | string | 100% | - | - |
ADM2_NAME |
ADM2 NAME | string | 100% | - | - |
ADM3_PCODE |
ADM3 PCODE | string | 100% | - | - |
ADM3_NAME |
ADM3 NAME | string | 100% | - | - |
ADM4_PCODE |
ADM4 PCODE | string | 100% | - | - |
ADM4_NAME |
ADM4 NAME | string | 100% | - | - |
Population_group |
Population group | string | 0% | 51 | T_TL, M_TL, F_TL, T_00_04, T_05_09 |
Gender |
Gender | string | 0% | 3 | all, m, f, all, all |
Age_range |
Age range | string | 0% | 17 | all, all, all, 0-4, 5-9 |
Age_min |
Age min | string | 6% | 15 | 0, 5, 10, 15, 15 |
Age_max |
Age max | string | 12% | 14 | 4, 9, 14, 19, 17 |
Population |
Population | string | 0% | 51 | 102536651, 51389358, 51147294, 14793650, 15784379 |
Reference_year |
Reference year | string | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Source |
Source | string | 0% | 1 | Central Statistics Agency (CSA), Central Statistics... |
Contributor |
Contributor | string | 0% | 1 | OCHA Ethiopia, OCHA Ethiopia, OCHA Ethiopia, OCHA... |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH, ETH, ETH, ETH, ETH |
society_id |
Society id | string | CCL | 0% | 35 | Ai44, Ai46, Ai47, Aj20, Ca1 |
society_name |
Society name | string | CCL | 0% | 35 | Anuak, Koma, Mao, Suri, Konso |
language_glottocode |
Language glottocode | string | CCL | 0% | 30 | anua1242, komo1258, hozo1236, suri1267, kons1243 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 16 | EA001:0; EA002:1; EA003:2; EA004:1; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 18 | EA006:1; EA007:8; EA008:5; EA009:5; EA010:8, EA006:5;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 20 | EA028:5; EA029:6; EA030:7; EA031:4; EA032:2, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 15 | EA033:2; EA034:NA; EA035:NA, EA033:1; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 15 | EA034:NA; EA112:1, EA034:NA; EA112:8, EA034:2; EA112:5,... |
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 | Ethiopia, Ethiopia, Ethiopia, Ethiopia, Ethiopia |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 9 | 8.0, 9.0, 9.0, 6.0, 6.0 |
longitude |
longitude | float | 0% | 9 | 34.0, 35.0, 35.0, 35.0, 37.0 |
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 | 2024.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 65.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .et |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 17.0 |
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 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 | 766,000 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 766000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2024 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 85.9 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 85.9 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 65 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 10 public/state broadcasters; 9 public/state radio... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 10.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 17% (2021 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 566,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 566000.0 |
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/et.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 | 126.773 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 23.5 |
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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, fast-growing Horn of Africa economy;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $380.895 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 | 380.895 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $354.926 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 | 354.926 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $332.97 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 | 332.97 |
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 | 7.3% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 7.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 6.6% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 6.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.3 |
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 | $126.773 billion (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 21% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 21.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 30.2% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 30.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 33.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 33.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 34.9% (2024 est.) |
| +122 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 | 55.0 |
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 | 55% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 94% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 94.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 43% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 43.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 5.69 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 5.69 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 12.298 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 12.298 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 1.762 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 1.762 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 4.194 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 4.194 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.2 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 3.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 3.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 96.5% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 96.5 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 0.2 |
coal_production_text |
coal_production_text | string | 0% | 1 | 456,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 456000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1.653 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1.653 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 1,000 metric tons (2022 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 1000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1.153 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.153 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 102,000 bbl/day (2023 est.) |
| +9 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 | 34.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 23.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 23.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.4 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 6.533 |
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; overgrazing; soil erosion;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Environmental Modification, Law of the Sea, Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | tropical monsoon with wide topographic-induced variation |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 34.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 14.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 14.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 17.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 17.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 23.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 42.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 42.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 23.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.4% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 18.519 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 18.519 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 3.427 million 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 | 3.427 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 15.092 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 | 15.092 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 23.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 23.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 1,108.5 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 1108.5 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 1,948.6 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 1948.6 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 356.3 kt (2019-2021 est.) |
methane_emissions_waste_numeric |
methane_emissions_waste_numeric | float | 0% | 1 | 356.3 |
| +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 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 | Ethiopian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Ethiopian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Oromo 35.8%, Amhara 24.1%, Somali 7.2%, Tigray 5.7%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 35.8 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1104300.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1096570.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 7730.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 5925.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 4550.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -125.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 34.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 23.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1814.0 |
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Africa, west of Somalia |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 8 00 N, 38 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 1,104,300 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,096,570 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 7,730 sq km |
area_note |
area_note | string | 0% | 1 | note: area numbers are approximate since a large portion... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than twice the size of Texas |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 5,925 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Djibouti 342 km; Eritrea 1,033 km; Kenya 867 km; Somalia... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 342.0 |
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 monsoon with wide topographic-induced variation |
terrain_text |
terrain_text | string | 0% | 1 | high plateau with central mountain range divided by... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Ras Dejen 4,550 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Danakil Depression -125 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,330 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1330.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | small reserves of gold, platinum, copper, potash,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 34.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 14.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 14.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 17.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 17.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 23.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 42.2% (2023 est.) |
| +17 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
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 | Federal Democratic Republic of Ethiopia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Ethiopia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | YeItyop'iya Federalawi Demokrasiyawi Ripeblik |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Ityop'iya |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Abyssinia, Italian East Africa |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | FDRE |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country name derives from the ancient Greek word... |
government_type_text |
government_type_text | string | 0% | 1 | federal parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Addis Ababa |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 9 02 N, 38 42 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 9.0 |
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 in Amharic means "new flower;" Empress TAITU... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1887.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 12 ethnically based regional states (kililoch, singular... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 12.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest drafted June 1994, adopted 8... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1994.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposals submitted for discussion require two-thirds... |
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 | at least one parent must be a citizen of Ethiopia |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 4 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 4.0 |
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 TAYE Atske Selassie (since 7 October 2024) |
| +90 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 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The area that is modern-day Ethiopia is rich in cultural... |
background_numeric |
background_numeric | float | 0% | 1 | 80.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Oromo (official regional working language) 33.8%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 33.8 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Kitaaba Addunyaa Waan Qabataamaatiif - Kan Madda... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 | 1,071,881 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1071881.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 3,134,600 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 3134600.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 | Ethiopian National Defense Force (ENDF; aka Federal... |
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 | 0.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.7% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.7 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | available information varies widely; estimated... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 150.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the ENDF's inventory has traditionally been comprised of... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2020.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-22 years of age for voluntary military service;... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 1,500 South Sudan (UNMISS); estimated to have as many as... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 1500.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Ethiopian National Defense Force (ENDF) is focused... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1998.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 121372632.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 60461406.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 60911226.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 38.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 58.0 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 71.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 65.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 20.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.34 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 29.08 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.58 |
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 | 23.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.4 |
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 | 0.99 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 195.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 31.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 67.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.77 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.86 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.14 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.3 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 60.5 |
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 | 121,372,632 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 60,461,406 |
population_female_text |
population_female_text | string | 0% | 1 | 60,911,226 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 38.7% (male 23,092,496/female 22,765,882) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 58% (male 34,175,328/female 34,536,238) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.4% (2024 est.) (male 1,794,269/female 2,186,085) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 71.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 65.8 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 17.1 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 17.1 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 20.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 20.2 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 20.2 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 20.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 20.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.34% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 29.08 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.58 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 | highest density is found in the highlands of the north... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 23.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.4% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 5.461 million ADDIS ABABA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 5.461 |
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 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.99 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.99 |
| +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 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 31.3 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.8 |
composition_ethnicity_primary_label_synth |
Oromo | string | CCL | 0% | - | Oromo |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Ethiopian Orthodox 43.8%, Muslim 31.3%, Protestant... |
religions_numeric |
religions_numeric | float | 0% | 1 | 43.8 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_ethiopian_orthodox_pct_synth |
Ethiopian Orthodox | numeric | 0% | - | 43.8 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 22.8 |
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 0.7 |
composition_religion_traditional_pct_synth |
traditional | numeric | 0% | - | 0.6 |
composition_ethnicity_oromo_pct_synth |
Oromo | numeric | 0% | - | 35.8 |
composition_ethnicity_amhara_pct_synth |
Amhara | numeric | 0% | - | 24.1 |
composition_ethnicity_somali_pct_synth |
Somali | numeric | 0% | - | 7.2 |
composition_ethnicity_tigray_pct_synth |
Tigray | numeric | 0% | - | 5.7 |
composition_ethnicity_sidama_pct_synth |
Sidama | numeric | 0% | - | 4.1 |
composition_ethnicity_guragie_pct_synth |
Guragie | numeric | 0% | - | 2.6 |
composition_ethnicity_welaita_pct_synth |
Welaita | numeric | 0% | - | 2.3 |
composition_ethnicity_afar_pct_synth |
Afar | numeric | 0% | - | 2.2 |
composition_ethnicity_silte_pct_synth |
Silte | numeric | 0% | - | 1.3 |
composition_ethnicity_kefficho_pct_synth |
Kefficho | numeric | 0% | - | 1.2 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 13.5 |
composition_ethnicity_primary_share_pct_synth |
Oromo | numeric | 0% | - | 35.8 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Ethiopian Space Science and Geospatial Institute (ESSGI;... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2022.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | focuses on acquiring and operating satellites, as well... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 2015 - established Entoto Observatory and Space Science... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2015.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
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 |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.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 | ET |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 58.0 |
country_code |
Country code | string | SEL | 0% | 1 | ETH |
country_name |
Country name | string | SEL | 0% | 1 | Ethiopia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 58 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 1 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 1.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 659 km (2017) (Ethiopian segment of the 756 km Addis... |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 659.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 659 km (2017) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 659.0 |
railways_note |
railways_note | string | 0% | 1 | note: electric railway with redundant power supplies;... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 12 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 12.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 10, oil tanker 2 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 10.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/et.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH, ETH, ETH, ETH, ETH |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 10 | Oroma, Amhara, Other Southern Nations, Somali (Ogaden), Tigry |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 4 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 10 | 0.3439, 0.2695, 0.1614, 0.0622, 0.0608 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 10 | 53006000, 53002000, 53007000, 53008000, 53009000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | true, true, true, 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 | ETH, ETH, ETH, ETH, ETH |
gns_language_code |
gns_language_code | string | CCL | 0% | 9 | rus, eng, amh, ara, ita |
gns_language_name |
gns_language_name | string | CCL | 0% | 9 | Russian, English, Amharic, Arabic, Italian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 7 | 960, 751, 131, 12, 4 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 7 | 51.5298, 40.3113, 7.0317, 0.6441, 0.2147 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 4 | 7, 0, 44, 1, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 4 | Cyrl, , Ethi, Arab, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 4 | Cyrillic, , Ethiopic (Ge'ez), Arabic, |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 3, 0, 1, 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | ETH |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Ethiopia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 9 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 5 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9236 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 52 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 31417 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 20571 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 31393 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 24 |
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 | 647 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 204 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 6754 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4073 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 15906 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 10919 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1937 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1524 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1683 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1420 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4448 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2399 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 3 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 2 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 39 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 30 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ETH |
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 | ETH |
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 | ETH |
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 | ETH |
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 | ETH |
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 |
|---|---|---|---|---|---|---|
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 | ETH |
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 | 31 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 7 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 7 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 7 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 19 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 8.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 6.5 |
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 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 111 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 4 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 4 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 4 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 65 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.3 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.63 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 4.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 42 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.07 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.95 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 4.4 |
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 | ETH |
| 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 |
|---|---|---|---|
| Russian (rus) | 960 | 51.5% | Cyrillic +2 |
| English (eng) | 751 | 40.3% | — |
| Amharic (amh) | 131 | 7.0% | Ethiopic (Ge'ez) |
| Arabic (ara) | 12 | 0.6% | Arabic |
| Italian (ita) | 4 | 0.2% | — |
| Somali (som) | 2 | 0.1% | — |
| German (deu) | 1 | 0.1% | — |
| Oromo (orm) | 1 | 0.1% | — |
| + 1 further language (1 names, each under 0.05%) | |||
20,571 distinct features ·
9 languages ·
5 scripts ·
52 names in non-Roman script ·
24 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.