| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE, ZWE, ZWE, ZWE, ZWE |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 11 | Total, Bulawayo, Harare, Manicaland, Mashonaland Central |
human_development_index |
Human development index | float | SEL | 0% | 68 | 0.535, 0.661, 0.664, 0.492, 0.468 |
health_index |
Health index | float | SEL | 0% | 88 | 0.59, 0.687, 0.653, 0.566, 0.562 |
education_index |
Education index | float | SEL | 0% | 83 | 0.529, 0.636, 0.699, 0.486, 0.429 |
income_index |
Income index | float | SEL | 0% | 67 | 0.49, 0.66, 0.642, 0.432, 0.426 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 58.32, 64.67, 62.43, 56.76, 56.54 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 94 | 7.941, 10.65, 12.22, 6.782, 5.738 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_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 | 0% | 1 | ZW, ZW, ZW, ZW, ZW |
population_count |
Population count | float | SEL | 2% | 65 | 3809389.0, 3930401.0, 4055959.0, 4185877.0, 4320006.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 53.492, 53.966, 54.453, 54.942, 55.431 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 276.560896360952, 279.158927151344, 275.686274355878,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 96% | 3 | 77.7900009155273, 83.5100021362305, 93.2300033569336 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 151.8, 147.7, 143.7, 139.5, 135.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 92% | 5 | 75.6, 32.2, 22.5, 30.4, 38.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe |
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 | ZW, ZW, ZW, ZW, ZW |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 53.492, 53.966, 54.453, 54.942, 55.431 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 11% | 50 | 32.5, 32.3, 32.2, 32.1, 32.1 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 151.8, 147.7, 143.7, 139.5, 135.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 34 | 573.0, 525.0, 480.0, 431.0, 382.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 7.195, 7.212, 7.231, 7.23, 7.23 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.492, 47.292, 47.093, 46.821, 46.557 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 14.164, 13.827, 13.484, 13.14, 12.796 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 56% | 27 | 0.202, 0.125, 0.162, 0.158, 0.161 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 82% | 12 | 3.87664604187012, 3.49539995193481, 3.31369996070862,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 23 | 39.0, 46.0, 53.0, 60.0, 63.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 79% | 14 | 10.47575283, 8.081707, 6.91838741, 7.11022186, 8.1335125 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | ZW |
region_name |
Region name | string | SEL | 0% | 1 | Zimbabwe |
F_TL |
Female population | integer | SEL | 0% | 1 | 1110922 |
M_TL |
Male population | integer | SEL | 0% | 1 | 1030556 |
T_TL |
Total population | integer | SEL | 0% | 1 | 2141478 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 165149 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 151922 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 137349 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 116236 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 96431 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 80112 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 72844 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 63592 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 53527 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 42132 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 28746 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 22474 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 22032 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 20326 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 13546 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 9866 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 14638 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 163455 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 149613 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 137007 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 120545 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 97687 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 76029 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 59282 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 49204 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 45146 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 37089 |
| +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% | 10 | ZW10, ZW19, ZW11, ZW12, ZW13 |
region_name |
Region name | string | SEL | 0% | 10 | Bulawayo, Harare, Manicaland, Mashonaland Central,... |
F_TL |
Female population | integer | SEL | 0% | 10 | 443318, 1628166, 1126377, 799804, 917659 |
M_TL |
Male population | integer | SEL | 0% | 10 | 354293, 1450004, 1045825, 795652, 885497 |
T_TL |
Total population | integer | SEL | 0% | 10 | 797611, 3078170, 2172202, 1595456, 1803156 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 10 | 54370, 226853, 173622, 125782, 137063 |
F_05_09 |
Female population age 5-9 | integer | 0% | 10 | 45747, 173609, 156201, 111261, 121268 |
F_10_14 |
Female population age 10-14 | integer | 0% | 10 | 43407, 153987, 139076, 97304, 109191 |
F_15_19 |
Female population age 15-19 | integer | 0% | 10 | 55233, 186426, 110715, 76646, 88136 |
F_20_24 |
Female population age 20-24 | integer | 0% | 10 | 48262, 190176, 88004, 66849, 72980 |
F_25_29 |
Female population age 25-29 | integer | 0% | 10 | 37627, 169278, 76442, 59156, 65083 |
F_30_34 |
Female population age 30-34 | integer | 0% | 10 | 33210, 145245, 72256, 52844, 60296 |
F_35_39 |
Female population age 35-39 | integer | 0% | 10 | 28088, 115430, 64589, 49696, 55729 |
F_40_44 |
Female population age 40-44 | integer | 0% | 10 | 26155, 89469, 54341, 38173, 46701 |
F_45_49 |
Female population age 45-49 | integer | 0% | 10 | 23157, 63288, 43615, 28969, 37813 |
F_50_54 |
Female population age 50-54 | integer | 0% | 10 | 13012, 32722, 32095, 21204, 25804 |
F_55_59 |
Female population age 55-59 | integer | 0% | 10 | 9207, 24214, 23881, 15555, 20392 |
F_60_64 |
Female population age 60-64 | integer | 0% | 10 | 7627, 20300, 26299, 17286, 21529 |
F_65_69 |
Female population age 65-69 | integer | 0% | 10 | 6666, 16040, 22422, 13022, 18029 |
F_70_74 |
Female population age 70-74 | integer | 0% | 10 | 4448, 10316, 16099, 9876, 13645 |
F_75_79 |
Female population age 75-79 | integer | 0% | 10 | 3272, 2335, 11167, 6536, 9484 |
F_80Plus |
F_80Plus | integer | 0% | 10 | 3830, 8478, 15553, 9645, 14516 |
M_00_04 |
Male population age 0-4 | integer | 0% | 10 | 48564, 210182, 175864, 128083, 139251 |
M_05_09 |
Male population age 5-9 | integer | 0% | 10 | 39435, 155319, 159124, 114054, 124094 |
M_10_14 |
Male population age 10-14 | integer | 0% | 10 | 34948, 129335, 142765, 100676, 114146 |
M_15_19 |
Male population age 15-19 | integer | 0% | 10 | 39341, 132831, 123177, 88153, 102040 |
M_20_24 |
Male population age 20-24 | integer | 0% | 10 | 40878, 169059, 90018, 76466, 81505 |
M_25_29 |
Male population age 25-29 | integer | 0% | 10 | 31988, 161289, 71777, 63842, 66907 |
M_30_34 |
Male population age 30-34 | integer | 0% | 10 | 24022, 124830, 55803, 47934, 51022 |
M_35_39 |
Male population age 35-39 | integer | 0% | 10 | 19243, 101266, 47628, 41088, 42636 |
M_40_44 |
Male population age 40-44 | integer | 0% | 10 | 19265, 91780, 43470, 35858, 40564 |
M_45_49 |
Male population age 45-49 | integer | 0% | 10 | 18408, 67859, 38078, 28214, 34990 |
| +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% | 91 | ZW1021, ZW1922, ZW1923, ZW1921, ZW1924 |
region_name |
Region name | string | SEL | 0% | 91 | Bulawayo, Chitungwiza, Epworth, Harare, Harare Rural |
F_TL |
Female population | integer | SEL | 0% | 91 | 443318, 272230, 156534, 1041744, 157658 |
M_TL |
Male population | integer | SEL | 0% | 91 | 354293, 237221, 150021, 915364, 147398 |
T_TL |
Total population | integer | SEL | 0% | 91 | 797611, 509451, 306555, 1957108, 305056 |
| 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 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 91 | 54370, 38325, 27726, 134675, 26127 |
F_05_09 |
Female population age 5-9 | integer | 0% | 91 | 45747, 29704, 19042, 105023, 19840 |
F_10_14 |
Female population age 10-14 | integer | 0% | 91 | 43407, 26992, 15383, 95728, 15884 |
F_15_19 |
Female population age 15-19 | integer | 0% | 90 | 55233, 33321, 15901, 120226, 16978 |
F_20_24 |
Female population age 20-24 | integer | 0% | 91 | 48262, 31822, 18526, 122550, 17278 |
F_25_29 |
Female population age 25-29 | integer | 0% | 91 | 37627, 27794, 16883, 109442, 15159 |
F_30_34 |
Female population age 30-34 | integer | 0% | 90 | 33210, 23824, 13525, 94000, 13896 |
F_35_39 |
Female population age 35-39 | integer | 0% | 90 | 28088, 18331, 10358, 75125, 11616 |
F_40_44 |
Female population age 40-44 | integer | 0% | 91 | 26155, 13570, 7188, 60126, 8585 |
F_45_49 |
Female population age 45-49 | integer | 0% | 90 | 23157, 9209, 4407, 44479, 5193 |
F_50_54 |
Female population age 50-54 | integer | 0% | 90 | 13012, 5119, 2188, 23168, 2247 |
F_55_59 |
Female population age 55-59 | integer | 0% | 91 | 9207, 4311, 1547, 16919, 1437 |
F_60_64 |
Female population age 60-64 | integer | 0% | 88 | 7627, 3497, 1410, 14137, 1256 |
F_65_69 |
Female population age 65-69 | integer | 0% | 90 | 6666, 2611, 947, 11692, 790 |
F_70_74 |
Female population age 70-74 | integer | 0% | 86 | 4448, 1613, 642, 7561, 500 |
F_75_79 |
Female population age 75-79 | integer | 0% | 86 | 3272, 981, 415, 576, 363 |
F_80Plus |
F_80Plus | integer | 0% | 87 | 3830, 1206, 446, 6317, 509 |
M_00_04 |
Male population age 0-4 | integer | 0% | 91 | 48564, 36742, 25746, 123881, 23813 |
M_05_09 |
Male population age 5-9 | integer | 0% | 90 | 39435, 27235, 17522, 93300, 17262 |
M_10_14 |
Male population age 10-14 | integer | 0% | 91 | 34948, 23197, 12727, 79760, 13651 |
M_15_19 |
Male population age 15-19 | integer | 0% | 91 | 39341, 23851, 12441, 83952, 12587 |
M_20_24 |
Male population age 20-24 | integer | 0% | 91 | 40878, 27085, 16762, 109029, 16183 |
M_25_29 |
Male population age 25-29 | integer | 0% | 89 | 31988, 25647, 17166, 103327, 15149 |
M_30_34 |
Male population age 30-34 | integer | 0% | 91 | 24022, 20059, 13509, 78962, 12300 |
M_35_39 |
Male population age 35-39 | integer | 0% | 91 | 19243, 15945, 10701, 64043, 10577 |
M_40_44 |
Male population age 40-44 | integer | 0% | 90 | 19265, 13506, 9221, 58837, 10216 |
M_45_49 |
Male population age 45-49 | integer | 0% | 91 | 18408, 8901, 6346, 45289, 7323 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 27 | afri1274, amer1248, birw1238, domb1246, fana1235 |
name |
Name | string | CCL | 0% | 27 | Afrikaans, American Sign Language, Birwa,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 27 | afr, ase, brl, dov, fng |
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% | 5 | indo1319, sign1238, atla1278, atla1278, pidg1258 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 25 | afri1273, amer1258, nort3233, cent2279, zulu1250 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 18 | ['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['BB', 'BF', 'BJ',... |
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, 2, 0, 5, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 27 | -31.63272, 33.8117, -22.17, -18.37, -25.384842 |
longitude |
longitude | float | 0% | 27 | 20.46356, -81.6121, 28.33, 26.502, 27.1400833333 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Zimbabwe |
admin_code |
Admin code | string | SEL | 0% | 1 | 69731989B4459939763490 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 390768.6251 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 17149114 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 43.89 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE, ZWE, ZWE, ZWE, ZWE |
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% | 10 | Harare, Manicaland, Mashonaland West, Midlands, Mashonaland East |
admin_code |
Admin code | string | SEL | 0% | 10 | 88200057B87996012089813, 88200057B32763847551562,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 940.2529, 35842.8776, 57679.347, 49359.5193, 32172.0915 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 2759991, 2311668, 2154052, 2064106, 1969471 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 2935.37, 64.49, 37.35, 41.82, 61.22 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE, ZWE, ZWE, ZWE, ZWE |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 14 | Harare, Bulawayo, Ruwa, Mutare, Chinhoyi |
admin_code |
Admin code | integer | SEL | 0% | 14 | 1419, 117, 1519, 1707, 1098 |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 599.7184, 172.116, 65.6405, 41.778, 23.8678 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 2638656, 533166, 206814, 176298, 100329 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 4399.82, 3097.71, 3150.71, 4219.88, 4203.53 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 14 | 2076037, 492011, 183053, 147135, 100652 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 14 | 1.271, 1.084, 1.13, 1.198, 0.997 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 94.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .zw |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 38.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | 310,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 310000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 15.7 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 15.7 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 94 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | government owns all local radio and TV stations; foreign... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2017.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 38% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 269,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 269000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.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 | 3500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 44.188 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 38.3 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 Sub-Saharan economy; political instability... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $57.391 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 | 57.391 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $56.249 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 | 56.249 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $53.399 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 | 53.399 |
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 | 2% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.0 |
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 | 6.1% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 6.1 |
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 | $3,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,400 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3400.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,300 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3300.0 |
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 | $44.188 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 104.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 104.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 98.5% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 98.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | 557.2% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | 557.2 |
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 | 5.4% (2024 est.) |
| +117 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 | 50.1 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | 50.1% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 89% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 89.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 33.7% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 33.7 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 2.491 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 2.491 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 8.346 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 8.346 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 395 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 395.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 2.297 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 2.297 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.864 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.864 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 32.5% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 32.5 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 65.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 65.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.5% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.5 |
coal_production_text |
coal_production_text | string | 0% | 1 | 7.968 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 7.968 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 6.705 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 6.705 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 984,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 984000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 71,000 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 | 41.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 35.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 32.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.41 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.45 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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; soil erosion; land degradation; air and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical; moderated by altitude; rainy season (November to March) |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 41.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 10.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 10.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 31.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 31.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 35.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 22.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 22.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 32.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.41% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 12.578 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 12.578 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 7.629 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 | 7.629 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 4.949 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 | 4.949 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 14.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 14.5 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.45 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 | 21.8% (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 | 21.8 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 547.078 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 547.078 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 81.352 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 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | Zimbabwean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Zimbabwean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | African 99.6% (predominantly Shona; Ndebele is the... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 99.6 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 390757.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 386847.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 3910.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3229.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2592.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 162.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 41.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 35.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1740.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Africa, between South Africa and Zambia |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 20 00 S, 30 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 20.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 390,757 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 386,847 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 3,910 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about four times the size of Indiana; slightly larger... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,229 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Botswana 834 km; Mozambique 1,402 km; South Africa 230... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 834.0 |
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; moderated by altitude; rainy season (November to March) |
terrain_text |
terrain_text | string | 0% | 1 | mostly high plateau with higher central plateau (high... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Inyangani 2,592 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | junction of the Runde and Save Rivers 162 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 961 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 961.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | coal, chromium ore, asbestos, gold, nickel, copper, iron... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 41.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 10.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 10.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 31.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 31.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 35.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 22.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 22.3 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
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 Zimbabwe |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Zimbabwe |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Southern Rhodesia, Rhodesia, Zimbabwe-Rhodesia |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | takes its name from the Kingdom of Zimbabwe (13th-15th... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 13.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Harare |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 17 49 S, 31 02 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 17.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+2 (7 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 2.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named after a village of Harare at the site of the... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 8 provinces and 2 cities* with provincial status;... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 8.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law, Roman-Dutch civil... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1965 (at Rhodesian independence), 1979... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1965.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the Senate or by the National Assembly;... |
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 | the father must be a citizen of Zimbabwe; in the case of... |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Emmerson Dambudzo MNANGAGWA (since 4 September 2023) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 4.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Vice President Constantino CHIWENGA (since 11 September 2023) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 11.0 |
| +88 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 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The hunter-gatherer San people first inhabited the area... |
background_numeric |
background_numeric | float | 0% | 1 | 500.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Shona (official, most widely spoken) 80.9%, Ndebele... |
languages_numeric |
languages_numeric | float | 0% | 1 | 80.9 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | 22,432 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 22432.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 32,675 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 32675.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | Zimbabwe Defense Forces (ZDF): Zimbabwe National Army... |
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 | 0.4% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.4 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.9% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.9 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.4 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 30,000 active Zimbabwe Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 30000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the ZDF inventory is comprised mostly of... |
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 service for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the primary responsibilities of the Zimbabwe Defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2017.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 17472752.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 8503108.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 8969644.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 38.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 57.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 72.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 65.5 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 21.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.82 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 28.18 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.4 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -3.58 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 32.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.41 |
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 | 358.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 32.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 67.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.42 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.68 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.14 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 93.2 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | 17,472,752 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 8,503,108 |
population_female_text |
population_female_text | string | 0% | 1 | 8,969,644 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 38.3% (male 3,315,075/female 3,254,643) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 57.8% (male 4,758,120/female 5,152,773) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.9% (2024 est.) (male 270,595/female 399,146) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 72.3 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 65.5 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 14.7 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 14.7 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 21.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 20.3 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 20.3 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 22 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 22.0 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.82% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 28.18 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.4 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -3.58 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | aside from major urban agglomerations in Harare and... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 32.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.41% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.578 million HARARE (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.578 |
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 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.92 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.92 |
| +86 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 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.5 |
composition_ethnicity_primary_label_synth |
African | string | CCL | 0% | - | African |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Apostolic Sect 40.3%, Pentecostal 17%, Protestant 13.8%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 40.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_apostolic_sect_pct_synth |
Apostolic Sect | numeric | 0% | - | 40.3 |
composition_religion_pentecostal_pct_synth |
Pentecostal | numeric | 0% | - | 17.0 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 13.8 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 7.8 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 6.4 |
composition_religion_african_traditionalist_pct_synth |
African traditionalist | numeric | 0% | - | 5.0 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 8.3 |
composition_ethnicity_african_pct_synth |
African | numeric | 0% | - | 99.6 |
composition_ethnicity_other_includes_caucasian_asiatic_mixed_race_pct_synth |
other (includes Caucasian, Asiatic, mixed race) | numeric | 0% | - | 0.4 |
composition_ethnicity_primary_share_pct_synth |
African | numeric | 0% | - | 99.6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
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 | Zimbabwe National Geospatial and Space Agency (ZINGSA;... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2019.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a nascent program with the goal of using space... |
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 | 2020 - began a program (BIRDS-5) sponsored by Japan to... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2020.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.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 | Z |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 144.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
country_name |
Country name | string | SEL | 0% | 1 | Zimbabwe |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 144 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 5 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 5.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 3,427 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 3427.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 3,427 km (2014) 1.067-m gauge (313 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 3427.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/zi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 14 | Harare, Bulawayo, Ruwa, Mutare, Kwekwe |
country_code |
Country code | string | SEL | 0% | 1 | ZWE, ZWE, ZWE, ZWE, ZWE |
population |
Population count | integer | SEL | 0% | 14 | 2076037, 492011, 183053, 147135, 134107 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 14 | 1419, 117, 1519, 1707, 594 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe |
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 | ZW, ZW, ZW, ZW, ZW |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | ZWE, ZWE, ZWE, ZWE, ZWE |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 4 | 30.03, 30.66, 0.0, 0.0, 0.0 |
grocery |
grocery | float | 0% | 3 | 48.44, 37.9, 0.0, 0.0, 0.0 |
parks |
parks | float | 0% | 5 | -1.06, 31.08, 0.0, 0.0, 0.0 |
transit |
transit | float | 0% | 5 | 11.33, 33.96, -1.65, 0.0, 0.0 |
workplaces |
workplaces | float | 0% | 10 | 15.98, 12.71, 27.1, -7.38, 40.43 |
residential |
residential | float | 0% | 5 | 6.54, 9.03, 0.0, 0.0, 1.34 |
region |
region | string | 0% | 10 | Bulawayo Province, Harare Province, Manicaland Province,... |
observation_count |
observation_count | integer | 0% | 10 | 1938, 1948, 1640, 343, 2418 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
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 | ZWE |
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 | ZWE |
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 | ZWE |
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 | ZWE |
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 | ZWE, ZWE, ZWE |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | eng, fra, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | English, French, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 11319, 29, 14 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 99.6215, 0.2552, 0.1232 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | ZWE |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Zimbabwe |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9906 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 32061 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 24929 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 32058 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 13786 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 12010 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 7128 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 5199 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 7130 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4654 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 2426 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 2051 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1303 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 871 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 200 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 81 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 66 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 42 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 22 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 21 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE, ZWE, ZWE |
society_id |
Society id | string | CCL | 0% | 3 | Ab18, Ab9, Ac30 |
society_name |
Society name | string | CCL | 0% | 3 | Shona, Ndebele, Plateau Tonga |
language_glottocode |
Language glottocode | string | CCL | 0% | 3 | shon1251, nort2795, tong1318 |
language_name |
Language name | string | CCL | 0% | 1 | , , |
kinship_system |
Kinship system | string | CCL | 0% | 3 | EA001:1; EA002:1; EA003:1; EA004:2; EA005:5, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 3 | EA006:1; EA007:8; EA008:4; EA009:4; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:3; EA029:6; EA030:6; EA031:3; EA032:2, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:3; EA034:4; EA035:6, EA033:4; EA034:2; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:4; EA112:6, EA034:2; EA112:1, EA034:3; EA112:6 |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:8; EA013:3, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Zimbabwe, Zimbabwe, Zimbabwe |
dataset |
dataset | string | 0% | 1 | EA, EA, EA |
region |
region | string | 0% | 1 | , , |
latitude |
latitude | float | 0% | 3 | -19.0, -20.0, -18.0 |
longitude |
longitude | float | 0% | 2 | 31.0, 28.0, 28.0 |
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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZWE |
| 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.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 11,319 | 99.6% | — |
| French (fra) | 29 | 0.3% | — |
| Portuguese (por) | 14 | 0.1% | — |
24,929 distinct features ·
3 languages ·
0 scripts ·
3 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 |
| commercial | bulk_download | |
| Global Data Lab | academic | api |
| World Values Survey | academic | metadata_catalog |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Afrobarometer | academic | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| World Bank Open Data | international_organization | api |
| 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.