| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | RW |
region_name |
Region name | string | SEL | 0% | 1 | Rwanda |
F_TL |
Female population | integer | SEL | 0% | 1 | 190099 |
M_TL |
Male population | integer | SEL | 0% | 1 | 172694 |
T_TL |
Total population | integer | SEL | 0% | 1 | 362793 |
| 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 | 22013 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 23943 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 23527 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 20887 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 16157 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 13897 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 13558 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 14029 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 10387 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 7443 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 6632 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 5311 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 4340 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 3681 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 2161 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 1116 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 1017 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 22831 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 24473 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 23932 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 21611 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 15219 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 12404 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 11531 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 11051 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 7787 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 5318 |
| +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% | 5 | RW5, RW1, RW4, RW2, RW3 |
region_name |
Region name | string | SEL | 0% | 5 | Eastern Province, Kigali City, Northern Province,... |
F_TL |
Female population | integer | SEL | 0% | 5 | 236613, 432099, 170398, 193893, 190099 |
M_TL |
Male population | integer | SEL | 0% | 5 | 232495, 483707, 159415, 172838, 172694 |
T_TL |
Total population | integer | SEL | 0% | 5 | 469108, 915806, 329813, 366731, 362793 |
| 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% | 5 | 32472, 57912, 19186, 25173, 22013 |
F_05_09 |
Female population age 5-9 | integer | 0% | 5 | 30985, 45069, 22908, 24427, 23943 |
F_10_14 |
Female population age 10-14 | integer | 0% | 5 | 26669, 40997, 24915, 21655, 23527 |
F_15_19 |
Female population age 15-19 | integer | 0% | 5 | 23226, 48602, 20102, 19238, 20887 |
F_20_24 |
Female population age 20-24 | integer | 0% | 5 | 21719, 55448, 14757, 14632, 16157 |
F_25_29 |
Female population age 25-29 | integer | 0% | 5 | 18681, 46663, 11108, 13670, 13897 |
F_30_34 |
Female population age 30-34 | integer | 0% | 5 | 19489, 39826, 10693, 14382, 13558 |
F_35_39 |
Female population age 35-39 | integer | 0% | 5 | 16767, 33611, 11095, 13568, 14029 |
F_40_44 |
Female population age 40-44 | integer | 0% | 5 | 12116, 21985, 8120, 11509, 10387 |
F_45_49 |
Female population age 45-49 | integer | 0% | 5 | 8879, 14163, 6698, 9910, 7443 |
F_50_54 |
Female population age 50-54 | integer | 0% | 5 | 6762, 7754, 4995, 6846, 6632 |
F_55_59 |
Female population age 55-59 | integer | 0% | 5 | 6228, 6344, 4560, 6529, 5311 |
F_60_64 |
Female population age 60-64 | integer | 0% | 5 | 5222, 4936, 3973, 5549, 4340 |
F_65_69 |
Female population age 65-69 | integer | 0% | 5 | 3819, 3857, 3269, 3294, 3681 |
F_70_74 |
Female population age 70-74 | integer | 0% | 5 | 1965, 2429, 1929, 1878, 2161 |
F_75_79 |
Female population age 75-79 | integer | 0% | 5 | 961, 1390, 1133, 998, 1116 |
F_80Plus |
F_80Plus | integer | 0% | 5 | 653, 1113, 957, 635, 1017 |
M_00_04 |
Male population age 0-4 | integer | 0% | 5 | 33454, 59194, 19435, 26143, 22831 |
M_05_09 |
Male population age 5-9 | integer | 0% | 5 | 31847, 46599, 22929, 24732, 24473 |
M_10_14 |
Male population age 10-14 | integer | 0% | 5 | 28012, 40497, 24911, 22293, 23932 |
M_15_19 |
Male population age 15-19 | integer | 0% | 5 | 24455, 44426, 20360, 19905, 21611 |
M_20_24 |
Male population age 20-24 | integer | 0% | 5 | 22562, 61531, 15678, 13918, 15219 |
M_25_29 |
Male population age 25-29 | integer | 0% | 5 | 18970, 60449, 11287, 12127, 12404 |
M_30_34 |
Male population age 30-34 | integer | 0% | 5 | 18601, 55241, 9414, 12597, 11531 |
M_35_39 |
Male population age 35-39 | integer | 0% | 5 | 15771, 45158, 9023, 10745, 11051 |
M_40_44 |
Male population age 40-44 | integer | 0% | 5 | 10812, 27075, 6651, 8260, 7787 |
M_45_49 |
Male population age 45-49 | integer | 0% | 5 | 7439, 16658, 5254, 6586, 5318 |
| +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% | 30 | RW57, RW53, RW54, RW55, RW56 |
region_name |
Region name | string | SEL | 0% | 30 | Bugesera, Gatsibo, Kayonza, Kirehe, Ngoma |
F_TL |
Female population | integer | SEL | 0% | 30 | 236613, 348552, 277298, 241160, 230804 |
M_TL |
Male population | integer | SEL | 0% | 30 | 232495, 332062, 267910, 230118, 218208 |
T_TL |
Total population | integer | SEL | 0% | 30 | 469108, 680614, 545208, 471278, 449012 |
| 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% | 30 | 32472, 44454, 36097, 30422, 30312 |
F_05_09 |
Female population age 5-9 | integer | 0% | 30 | 30985, 46617, 36528, 32532, 29509 |
F_10_14 |
Female population age 10-14 | integer | 0% | 30 | 26669, 44999, 34039, 30087, 25764 |
F_15_19 |
Female population age 15-19 | integer | 0% | 30 | 23226, 37464, 29007, 24878, 22771 |
F_20_24 |
Female population age 20-24 | integer | 0% | 30 | 21719, 29436, 24813, 21660, 20707 |
F_25_29 |
Female population age 25-29 | integer | 0% | 30 | 18681, 23787, 19190, 17743, 17244 |
F_30_34 |
Female population age 30-34 | integer | 0% | 30 | 19489, 23795, 20541, 16859, 17317 |
F_35_39 |
Female population age 35-39 | integer | 0% | 30 | 16767, 26220, 21149, 17484, 17374 |
F_40_44 |
Female population age 40-44 | integer | 0% | 29 | 12116, 20630, 15902, 13484, 13438 |
F_45_49 |
Female population age 45-49 | integer | 0% | 30 | 8879, 14730, 11460, 10278, 9940 |
F_50_54 |
Female population age 50-54 | integer | 0% | 30 | 6762, 9830, 7424, 7070, 6934 |
F_55_59 |
Female population age 55-59 | integer | 0% | 30 | 6228, 8472, 6405, 6123, 5960 |
F_60_64 |
Female population age 60-64 | integer | 0% | 30 | 5222, 6709, 5355, 4896, 4785 |
F_65_69 |
Female population age 65-69 | integer | 0% | 30 | 3819, 5497, 4572, 3981, 4129 |
F_70_74 |
Female population age 70-74 | integer | 0% | 30 | 1965, 3177, 2517, 1907, 2442 |
F_75_79 |
Female population age 75-79 | integer | 0% | 30 | 961, 1527, 1349, 1000, 1338 |
F_80Plus |
F_80Plus | integer | 0% | 30 | 653, 1208, 950, 756, 840 |
M_00_04 |
Male population age 0-4 | integer | 0% | 30 | 33454, 44806, 37430, 31532, 31560 |
M_05_09 |
Male population age 5-9 | integer | 0% | 30 | 31847, 47314, 37533, 32642, 30647 |
M_10_14 |
Male population age 10-14 | integer | 0% | 30 | 28012, 45911, 35775, 30932, 26638 |
M_15_19 |
Male population age 15-19 | integer | 0% | 30 | 24455, 38555, 30288, 26349, 23456 |
M_20_24 |
Male population age 20-24 | integer | 0% | 30 | 22562, 30524, 24201, 21335, 19517 |
M_25_29 |
Male population age 25-29 | integer | 0% | 30 | 18970, 23077, 18778, 16162, 14901 |
M_30_34 |
Male population age 30-34 | integer | 0% | 30 | 18601, 21404, 18931, 14733, 15349 |
M_35_39 |
Male population age 35-39 | integer | 0% | 30 | 15771, 22868, 19175, 16081, 15334 |
M_40_44 |
Male population age 40-44 | integer | 0% | 30 | 10812, 17147, 13334, 11334, 11287 |
M_45_49 |
Male population age 45-49 | integer | 0% | 30 | 7439, 11854, 9263, 8034, 8092 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | RW5701, RW5702, RW5703, RW5704, RW5705 |
region_name |
Region name | string | SEL | 0% | 98 | Gashora, Juru, Kamabuye, Mareba, Mayange |
F_TL |
Female population | integer | SEL | 0% | 100 | 14784, 13495, 11619, 12336, 27972 |
M_TL |
Male population | integer | SEL | 0% | 99 | 14463, 13014, 11005, 11383, 30789 |
T_TL |
Total population | integer | SEL | 0% | 99 | 29247, 26509, 22624, 23719, 58761 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
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% | 97 | 2063, 1839, 1523, 1595, 3816 |
F_05_09 |
Female population age 5-9 | integer | 0% | 98 | 1899, 1792, 1533, 1633, 3497 |
F_10_14 |
Female population age 10-14 | integer | 0% | 98 | 1851, 1583, 1320, 1359, 2797 |
F_15_19 |
Female population age 15-19 | integer | 0% | 97 | 1486, 1312, 1248, 1194, 2892 |
F_20_24 |
Female population age 20-24 | integer | 0% | 96 | 1335, 1181, 1089, 1032, 2884 |
F_25_29 |
Female population age 25-29 | integer | 0% | 97 | 1098, 1095, 773, 958, 2315 |
F_30_34 |
Female population age 30-34 | integer | 0% | 98 | 1124, 1162, 855, 1152, 2242 |
F_35_39 |
Female population age 35-39 | integer | 0% | 98 | 1025, 1009, 690, 824, 1994 |
F_40_44 |
Female population age 40-44 | integer | 0% | 97 | 771, 632, 654, 608, 1326 |
F_45_49 |
Female population age 45-49 | integer | 0% | 100 | 578, 497, 465, 470, 901 |
F_50_54 |
Female population age 50-54 | integer | 0% | 96 | 451, 351, 362, 392, 776 |
F_55_59 |
Female population age 55-59 | integer | 0% | 91 | 367, 339, 375, 368, 794 |
F_60_64 |
Female population age 60-64 | integer | 0% | 92 | 305, 349, 306, 308, 712 |
F_65_69 |
Female population age 65-69 | integer | 0% | 92 | 197, 179, 168, 237, 564 |
F_70_74 |
Female population age 70-74 | integer | 0% | 84 | 123, 104, 134, 107, 255 |
F_75_79 |
Female population age 75-79 | integer | 0% | 68 | 71, 47, 67, 68, 118 |
F_80Plus |
F_80Plus | integer | 0% | 63 | 40, 24, 57, 31, 89 |
M_00_04 |
Male population age 0-4 | integer | 0% | 99 | 2079, 1912, 1533, 1698, 4003 |
M_05_09 |
Male population age 5-9 | integer | 0% | 99 | 2038, 1806, 1579, 1658, 3708 |
M_10_14 |
Male population age 10-14 | integer | 0% | 99 | 2040, 1641, 1438, 1483, 3021 |
M_15_19 |
Male population age 15-19 | integer | 0% | 98 | 1584, 1379, 1360, 1186, 3155 |
M_20_24 |
Male population age 20-24 | integer | 0% | 96 | 1315, 1172, 1089, 978, 3380 |
M_25_29 |
Male population age 25-29 | integer | 0% | 96 | 1073, 1062, 727, 930, 2919 |
M_30_34 |
Male population age 30-34 | integer | 0% | 96 | 1051, 1038, 736, 956, 2387 |
M_35_39 |
Male population age 35-39 | integer | 0% | 98 | 924, 935, 642, 729, 2238 |
M_40_44 |
Male population age 40-44 | integer | 0% | 94 | 689, 542, 472, 461, 1467 |
M_45_49 |
Male population age 45-49 | integer | 0% | 96 | 454, 347, 340, 369, 1061 |
| +24 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 | RWA, RWA, RWA, RWA, RWA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Total, City of Kigali, East, North, South |
human_development_index |
Human development index | float | SEL | 0% | 83 | 0.327, 0.404, 0.306, 0.316, 0.324 |
health_index |
Health index | float | SEL | 0% | 91 | 0.331, 0.378, 0.302, 0.318, 0.331 |
education_index |
Education index | float | SEL | 0% | 85 | 0.314, 0.441, 0.287, 0.296, 0.31 |
income_index |
Income index | float | SEL | 0% | 78 | 0.337, 0.394, 0.33, 0.334, 0.331 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 41.52, 44.59, 39.64, 40.66, 41.5 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 88 | 4.704, 8.043, 4.312, 4.102, 4.685 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 17 | 1995, 1995, 1995, 1995, 1995 |
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 | RW, RW, RW, RW, RW |
population_count |
Population count | float | SEL | 2% | 65 | 3022294.0, 3106779.0, 3186025.0, 3258890.0, 3334834.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.022, 47.458, 47.802, 43.998, 48.131 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 39.3740728069473, 39.2689714974898, 39.2338440533266,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 38.2400016784668, 57.8499984741211, 64.8899993896484,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 224.2, 218.8, 215.1, 212.7, 211.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 39.1, 38.2, 27.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Rwanda, Rwanda, Rwanda, Rwanda, Rwanda |
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 | RW, RW, RW, RW, RW |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.022, 47.458, 47.802, 43.998, 48.131 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 58 | 62.8, 62.3, 61.8, 61.5, 61.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 224.2, 218.8, 215.1, 212.7, 211.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 1116.0, 1126.0, 1145.0, 1188.0, 1238.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 8.283, 8.279, 8.271, 8.269, 8.266 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 52.88, 51.954, 50.864, 49.776, 48.779 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 19.585, 19.106, 18.677, 20.841, 18.024 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 59% | 24 | 0.008, 0.014, 0.017, 0.017, 0.032 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 67% | 13 | 1.25399994850159, 1.24259996414185, 1.52799999713898,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 25 | 17.0, 38.0, 59.0, 55.0, 50.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.57583427, 3.31599975, 3.12787294, 6.92888737, 7.50856972 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Rwanda, Rwanda, Rwanda, Rwanda, Rwanda |
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% | 44 | 68.7, 56.5, 72.8, 53.6, 61.9 |
men_who_are_literate |
Men who are literate | float | CCL | 21% | 35 | 75.2, 79.2, 78.8, 71.9, 72.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Rwanda, Rwanda, Rwanda, Rwanda, Rwanda |
survey_year |
survey_year | integer | 0% | 7 | 2000, 2000, 2000, 2000, 2000 |
region |
region | string | 0% | 22 | ..Butare, ..Byumba, ..Cyangugu, ..Gikongoro, ..Gisenyi |
survey_id |
survey_id | string | 0% | 7 | RW2000DHS, RW2000DHS, RW2000DHS, RW2000DHS, RW2000DHS |
survey_type |
survey_type | string | 0% | 2 | 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% | 49 | 4.7, 1.5, 11.5, 3.6, 7.4 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 44 | 108.0, 128.0, 101.0, 142.0, 78.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 51 | 192.0, 236.0, 198.0, 266.0, 145.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 53 | 87.5, 81.6, 87.7, 73.5, 86.5 |
children_underweight |
Children underweight | float | CCL | 9% | 45 | 34.3, 25.6, 31.3, 20.5, 18.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Rwanda, Rwanda, Rwanda, Rwanda, Rwanda |
survey_year |
survey_year | integer | 0% | 7 | 1992, 2000, 1992, 2000, 1992 |
region |
region | string | 0% | 22 | ..Butare, ..Butare, ..Byumba, ..Byumba, ..Cyangugu |
survey_id |
survey_id | string | 0% | 7 | RW1992DHS, RW2000DHS, RW1992DHS, RW2000DHS, RW1992DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 80.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .rw |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 34.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | 8,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 8000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 12.8 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 12.8 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 80 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 13 TV stations; 35 radio stations, including... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 13.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 34% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 62,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 62000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.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 | 3300.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 14.252 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 38.2 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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; services, industry, and... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $46.543 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 | 46.543 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $42.743 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 | 42.743 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $39.485 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 | 39.485 |
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 | 8.9% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 8.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 8.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 8.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 8.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 8.2 |
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 | $3,300 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,100 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3100.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,900 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2900.0 |
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 | $14.252 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 19.8% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 19.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 17.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 17.7 |
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 | 24.6% (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 | 50.6 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | 50.6% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 98% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 98.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 38.2% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 38.2 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 294,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 294000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 876.401 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 876.401 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 8.674 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 8.674 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 32 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 32.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 197.606 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 197.606 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 43.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 43.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 3.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 3.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 52.8% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 52.8 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.2 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 123,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 123000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 89,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 89000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 9,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 9000.0 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 63.666 million cubic meters (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 | 76.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 24.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 17.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.07 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.385 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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; land degradation; soil... |
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 | Law of the Sea |
climate_text |
climate_text | string | 0% | 1 | temperate; two rainy seasons (February to April,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 76.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 47% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 47.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 15.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 15.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 24.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 0% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 0.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 17.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.07% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 1.645 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 1.645 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 226,000 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 | 226000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 1.295 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 | 1.295 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 124,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 124000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 35.7 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 35.7 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 4.385 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 | 11.5% (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 | 11.5 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 230 million cubic meters (2022 est.) |
| +9 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 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | Rwandan(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Rwandan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Hutu, Tutsi, Twa |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 26338.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 24668.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 1670.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 930.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 4519.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 950.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 76.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 24.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 96.0 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central Africa, east of the Democratic Republic of the... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 2 00 S, 30 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 2.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 26,338 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 24,668 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 1,670 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Maryland |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 930 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Burundi 315 km; Democratic Republic of the Congo 221 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 315.0 |
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 | temperate; two rainy seasons (February to April,... |
terrain_text |
terrain_text | string | 0% | 1 | mostly grassy uplands and hills; relief is mountainous... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Volcan Karisimbi 4,519 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Rusizi River 950 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,598 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1598.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | gold, cassiterite (tin ore), wolframite (tungsten ore),... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 76.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 47% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 47.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 15.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 15.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 24.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 0% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 0.0 |
| +13 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 | RWA |
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 Rwanda |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Rwanda |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republika y'u Rwanda |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Rwanda |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Kingdom of Rwanda, Ruanda, German East Africa |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country is named for a local people, but the meaning... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Kigali |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 1 57 S, 30 03 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 1.0 |
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 | the city takes its name from nearby Mount Kigali; the... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 4 provinces (provinces, singular - province (French);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 4.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil law, based on German and Belgian... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted by referendum 26 May... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 26.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic (with Council... |
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 Rwanda; if the father is... |
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 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
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 Paul KAGAME (since 22 April 2000) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 22.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Justin NSENGIYUMVA (since 23 July 2025) |
| +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 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Rwanda -- a small and centralized country dominated by... |
background_numeric |
background_numeric | float | 0% | 1 | -18.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Kinyarwanda (official, universal Bantu vernacular)... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 93.2 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Inkoranya nzimbuzi y'isi, isoko fatizo y'amakuru... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | 128,561 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 128561.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 21,948 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 21948.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 14,500 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 14500.0 |
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/rw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | Rwanda Defense Force (RDF; Ingabo z’u Rwanda): Rwanda... |
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 | 1.3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.4% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.4 |
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 | 1.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 30-35,000 active Rwanda Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 30.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the RDF's inventory is a mix of older and some modern... |
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 | typically 18-30 years of age for men and women for... |
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 | approximately 3,200 Central African Republic (about... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 3200.0 |
military_note_text |
military_note_text | string | 0% | 1 | the principle responsibilities of the Rwanda Defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2021.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 13623302.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 6684655.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 6938647.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 37.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 59.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.1 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 67.5 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 62.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.1 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 21.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.0 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 25.05 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.87 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.13 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 17.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.07 |
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 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 229.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 27.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 66.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.2 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.58 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.09 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 78.8 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | 13,623,302 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 6,684,655 |
population_female_text |
population_female_text | string | 0% | 1 | 6,938,647 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 37.2% (male 2,561,884/female 2,508,218) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 59.7% (male 3,954,608/female 4,179,844) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.1% (2024 est.) (male 168,163/female 250,585) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 67.5 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 62.3 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.1 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 19.4 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 19.4 |
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 | 20.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 20.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 25.05 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.87 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.13 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | one of Africa's most densely populated countries; large... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 17.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.07% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.248 million KIGALI (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.248 |
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 | 0.95 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.95 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 2.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Catholic 39.9%, Pentecostal 21.3%, Protestant 14.6%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 39.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 39.9 |
composition_religion_pentecostal_pct_synth |
Pentecostal | numeric | 0% | - | 21.3 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 14.6 |
composition_religion_adventist_pct_synth |
Adventist | numeric | 0% | - | 12.2 |
composition_religion_other_christians_pct_synth |
other Christians | numeric | 0% | - | 4.2 |
composition_religion_no_religion_pct_synth |
no religion | numeric | 0% | - | 3.0 |
composition_religion_other_religions_2_0_jehovah_witness_pct_synth |
other religions 2.0%; : Jehovah Witness | numeric | 0% | - | 0.5 |
composition_religion_not_specified_pct_synth |
not specified | numeric | 0% | - | - |
composition_religion_animist_pct_synth |
Animist | numeric | 0% | - | - |
composition_ethnicity_hutu_pct_synth |
Hutu | numeric | 0% | - | - |
composition_ethnicity_tutsi_pct_synth |
Tutsi | numeric | 0% | - | - |
composition_ethnicity_twa_pct_synth |
Twa | numeric | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
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 | Rwanda Space Agency (L’Agence Spatiale Rwandaise; RSA;... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2020.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a small program focused on developing 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 | 2018 - signed cooperation agreement with Japan for... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2018.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.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 | 9XR |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 8.0 |
country_code |
Country code | string | SEL | 0% | 1 | RWA |
country_name |
Country name | string | SEL | 0% | 1 | Rwanda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 8 (2025) |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/rw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Rwanda |
admin_code |
Admin code | string | SEL | 0% | 1 | 41251308B48772205060280 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 23678.6392 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 13546572 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 572.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA, RWA, RWA, RWA, RWA |
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% | 5 | Eastern Province, Southern Province, Western Province,... |
admin_code |
Admin code | string | SEL | 0% | 5 | 91480417B20985019767017, 91480417B18399648061901,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 5 | 9465.9691, 5957.0943, 5879.591, 3272.7887, 729.2049 |
pop_2024 |
Population count | integer | SEL | 0% | 5 | 3663297, 3086903, 2978899, 2094891, 1795199 |
pop_density_2024 |
Population density | float | SEL | 0% | 5 | 387.0, 518.19, 506.65, 640.09, 2461.86 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA, RWA, RWA, RWA, RWA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 5 | Kigali, Rubavu, Musanze, Muhanga, Kayonza |
admin_code |
Admin code | integer | SEL | 0% | 5 | 597, 121, 296, 452, 735 |
area_sqkm |
Area sqkm | float | SEL | 0% | 5 | 284.0895, 69.5319, 39.7326, 24.8331, 10.9265 |
pop_2024 |
Population count | integer | SEL | 0% | 5 | 1308574, 291266, 119747, 61526, 29186 |
pop_density_2024 |
Population density | float | SEL | 0% | 5 | 4606.2, 4188.95, 3013.82, 2477.58, 2671.12 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 5 | 1621760, 342555, 144218, 65499, 53238 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 5 | 0.807, 0.85, 0.83, 0.939, 0.548 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 9 | chig1238, kiny1244, nyam1277, nyan1307, rund1241 |
name |
Name | string | CCL | 0% | 9 | Chiga, Kinyarwanda, Nyambo, Nyankole, Rundi-Kitwa |
iso639_3 |
Iso639 3 | string | CCL | 11% | 8 | cgg, kin, now, nyn, run |
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% | 2 | atla1278, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 7 | nkor1241, rwan1241, sout3202, nkor1241, rwan1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['CD', 'RW', 'UG'], ['BI', 'CD', 'RW', 'TZ', 'UG'],... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 6 | 0, 7, 1, 3, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 9 | -1.04387, -1.56771, -1.6096, -0.46364, -3.022268 |
longitude |
longitude | float | 0% | 9 | 29.9122, 29.6441, 30.9156, 30.548, 29.485248 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 5 | Kigali, Rubavu, Musanze, Muhanga, Kayonza |
country_code |
Country code | string | SEL | 0% | 1 | RWA, RWA, RWA, RWA, RWA |
population |
Population count | integer | SEL | 0% | 5 | 1621760, 342555, 144218, 65499, 53238 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 5 | 597, 121, 296, 452, 735 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Rwanda, Rwanda, Rwanda, Rwanda, Rwanda |
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 | RW, RW, RW, RW, RW |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | RWA, RWA, RWA, RWA, RWA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 2 | 0.0, 16.87, 0.0, 0.0, 0.0 |
grocery |
grocery | float | 0% | 2 | 0.0, -7.51, 0.0, 0.0, 0.0 |
parks |
parks | float | 0% | 2 | 0.0, 19.56, 0.0, 0.0, 0.0 |
transit |
transit | float | 0% | 5 | 0.0, -4.11, -8.92, -14.33, -6.59 |
workplaces |
workplaces | float | 0% | 5 | -3.31, -6.87, 6.78, -2.09, 1.23 |
residential |
residential | float | 0% | 2 | 0.0, 20.12, 0.0, 0.0, 0.0 |
region |
region | string | 0% | 5 | Eastern Province, Kigali City, Northern Province,... |
observation_count |
observation_count | integer | 0% | 5 | 1326, 3885, 1436, 1611, 1576 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | RWA, RWA, RWA, RWA |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | fra, kin, eng, swa |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | French, Kinyarwanda, English, Swahili (generic) |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 54, 53, 39, 2 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 36.4865, 35.8108, 26.3514, 1.3514 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 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, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | RWA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Rwanda |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9953 |
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 | 21313 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 18411 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 21312 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 1 |
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 | 183 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 46 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 8076 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 7133 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 241 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 194 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 11901 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 10286 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 732 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 599 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 77 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 59 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 103 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 94 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | RWA, RWA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Hutu, Tutsi |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | POWERLESS, DOMINANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.84, 0.15 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 51701000, 51702000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 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 | RWA |
society_id |
Society id | string | CCL | 0% | 1 | Ae10 |
society_name |
Society name | string | CCL | 0% | 1 | Banyaruanda |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | kiny1244 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:1; EA003:0; EA004:3; EA005:6 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:8; EA008:5; EA009:5; EA010:8 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:5; EA029:6; EA030:5; EA031:3; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:4; EA034:2; EA035:6 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:2; EA112:3 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Rwanda |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | -2.0 |
longitude |
longitude | float | 0% | 1 | 30.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| 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 | RWA |
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 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 6 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 66 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 145 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 4 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 4 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 4 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 137 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 1.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 165 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 3.2 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.25 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 2.88 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 140 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | integer | 0% | 1 | 4 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.1 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 3.8 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 175 |
| +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 | RWA |
| 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 |
|---|---|---|---|
| French (fra) | 54 | 36.5% | — |
| Kinyarwanda (kin) | 53 | 35.8% | — |
| English (eng) | 39 | 26.4% | — |
| Swahili (generic) (swa) | 2 | 1.4% | — |
18,411 distinct features ·
4 languages ·
0 scripts ·
1 conventional English name
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.