| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI, BDI, BDI, BDI, BDI |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Total, East (Cankuzo, Rutana, Ruyigi ), Middle (Gitega,... |
human_development_index |
Human development index | float | SEL | 0% | 66 | 0.329, 0.311, 0.338, 0.314, 0.33 |
health_index |
Health index | float | SEL | 0% | 83 | 0.387, 0.399, 0.394, 0.37, 0.421 |
education_index |
Education index | float | SEL | 0% | 78 | 0.234, 0.2, 0.254, 0.214, 0.217 |
income_index |
Income index | float | SEL | 0% | 60 | 0.394, 0.376, 0.387, 0.39, 0.392 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 45.18, 45.96, 45.61, 44.04, 47.39 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 97 | 3.516, 2.931, 4.011, 3.437, 2.605 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 17 | 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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | BDI |
region_name |
Region name | string | SEL | 0% | 1 | Burundi |
F_TL |
Female population | integer | SEL | 0% | 1 | 6753229 |
M_TL |
Male population | integer | SEL | 0% | 1 | 6709466 |
T_TL |
Total population | integer | SEL | 0% | 1 | 13462695 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2022 |
year |
year | integer | 0% | 1 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 1164813 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 996959 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 851860 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 706369 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 589819 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 495962 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 424385 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 358373 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 287510 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 222414 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 171889 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 142454 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 121262 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 95851 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 62302 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 33243 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 27764 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1184956 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1010662 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 861074 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 709299 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 585983 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 488347 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 418986 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 357092 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 286577 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 221590 |
| +84 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% | 18 | BDI001, BDI017, BDI002, BDI003, BDI004 |
region_name |
Region name | string | SEL | 0% | 18 | Bubanza, Bujumbura Mairie, Bujumbura Rural, Bururi, Cankuzo |
F_TL |
Female population | integer | SEL | 0% | 18 | 263744, 498747, 397235, 249806, 199315 |
M_TL |
Male population | integer | SEL | 0% | 18 | 286650, 618997, 396312, 238409, 195204 |
T_TL |
Total population | integer | SEL | 0% | 18 | 550394, 1117744, 793547, 488215, 394519 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 18 | 52847, 80279, 66827, 36016, 35217 |
F_05_09 |
Female population age 5-9 | integer | 0% | 18 | 39634, 64985, 58682, 36776, 30800 |
F_10_14 |
Female population age 10-14 | integer | 0% | 18 | 27501, 55788, 51386, 34331, 25722 |
F_15_19 |
Female population age 15-19 | integer | 0% | 18 | 27227, 60276, 43736, 27562, 19602 |
F_20_24 |
Female population age 20-24 | integer | 0% | 18 | 24200, 53939, 34193, 21072, 16048 |
F_25_29 |
Female population age 25-29 | integer | 0% | 17 | 20058, 49585, 26794, 16058, 14132 |
F_30_34 |
Female population age 30-34 | integer | 0% | 18 | 16201, 41176, 23327, 14407, 12331 |
F_35_39 |
Female population age 35-39 | integer | 0% | 18 | 14729, 27883, 20523, 13815, 10153 |
F_40_44 |
Female population age 40-44 | integer | 0% | 18 | 10263, 18823, 16977, 11393, 8782 |
F_45_49 |
Female population age 45-49 | integer | 0% | 18 | 8417, 13214, 13958, 8690, 6521 |
F_50_54 |
Female population age 50-54 | integer | 0% | 18 | 6414, 8645, 10373, 6819, 4948 |
F_55_59 |
Female population age 55-59 | integer | 0% | 18 | 4959, 7627, 9548, 5777, 4367 |
F_60_64 |
Female population age 60-64 | integer | 0% | 18 | 4307, 6037, 7585, 5834, 3621 |
F_65_69 |
Female population age 65-69 | integer | 0% | 18 | 3141, 4755, 6157, 5146, 3190 |
F_70_74 |
Female population age 70-74 | integer | 0% | 18 | 2156, 2707, 3821, 2885, 1891 |
F_75_79 |
Female population age 75-79 | integer | 0% | 18 | 961, 1822, 2042, 1729, 1024 |
F_80Plus |
F_80Plus | integer | 0% | 18 | 729, 1206, 1306, 1496, 966 |
M_00_04 |
Male population age 0-4 | integer | 0% | 18 | 55771, 81979, 67073, 36220, 35714 |
M_05_09 |
Male population age 5-9 | integer | 0% | 18 | 41343, 66836, 57547, 37856, 31148 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 29041, 55852, 50095, 35033, 26436 |
M_15_19 |
Male population age 15-19 | integer | 0% | 18 | 29102, 67099, 44166, 28991, 19780 |
M_20_24 |
Male population age 20-24 | integer | 0% | 18 | 28650, 76432, 37366, 21054, 15780 |
M_25_29 |
Male population age 25-29 | integer | 0% | 18 | 24609, 72576, 30189, 13618, 12287 |
M_30_34 |
Male population age 30-34 | integer | 0% | 18 | 18473, 62294, 24130, 12098, 11381 |
M_35_39 |
Male population age 35-39 | integer | 0% | 18 | 16166, 44568, 20237, 11703, 9569 |
M_40_44 |
Male population age 40-44 | integer | 0% | 18 | 11756, 32523, 16595, 9792, 8326 |
M_45_49 |
Male population age 45-49 | integer | 0% | 18 | 9103, 20196, 12958, 7861, 6326 |
| +84 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 | BDI001001, BDI001002, BDI001003, BDI001004, BDI001005 |
region_name |
Region name | string | SEL | 0% | 99 | Bubanza, Gihanga, Mpanda, Musigati, Rugazi |
F_TL |
Female population | integer | SEL | 0% | 100 | 64141, 43435, 53269, 63064, 39835 |
M_TL |
Male population | integer | SEL | 0% | 99 | 66128, 53346, 53894, 64101, 49181 |
T_TL |
Total population | integer | SEL | 0% | 100 | 130269, 96781, 107163, 127165, 89016 |
| 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 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 100 | 12661, 8621, 11514, 12190, 7861 |
F_05_09 |
Female population age 5-9 | integer | 0% | 100 | 9468, 6433, 8138, 9830, 5765 |
F_10_14 |
Female population age 10-14 | integer | 0% | 100 | 6517, 4637, 5119, 7129, 4099 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 6702, 4491, 5107, 6531, 4396 |
F_20_24 |
Female population age 20-24 | integer | 0% | 99 | 6007, 3862, 4784, 5564, 3983 |
F_25_29 |
Female population age 25-29 | integer | 0% | 98 | 5134, 3040, 4181, 4663, 3040 |
F_30_34 |
Female population age 30-34 | integer | 0% | 97 | 3852, 2563, 3314, 3873, 2599 |
F_35_39 |
Female population age 35-39 | integer | 0% | 97 | 3694, 2477, 3090, 3471, 1997 |
F_40_44 |
Female population age 40-44 | integer | 0% | 100 | 2384, 1773, 2094, 2522, 1490 |
F_45_49 |
Female population age 45-49 | integer | 0% | 97 | 2093, 1410, 1644, 1975, 1295 |
F_50_54 |
Female population age 50-54 | integer | 0% | 96 | 1550, 1075, 1225, 1492, 1072 |
F_55_59 |
Female population age 55-59 | integer | 0% | 100 | 1329, 937, 878, 1116, 699 |
F_60_64 |
Female population age 60-64 | integer | 0% | 94 | 997, 802, 882, 1051, 575 |
F_65_69 |
Female population age 65-69 | integer | 0% | 97 | 751, 573, 545, 818, 454 |
F_70_74 |
Female population age 70-74 | integer | 0% | 89 | 563, 431, 431, 469, 262 |
F_75_79 |
Female population age 75-79 | integer | 0% | 86 | 265, 173, 175, 201, 147 |
F_80Plus |
F_80Plus | integer | 0% | 84 | 174, 137, 148, 169, 101 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 13390, 9487, 12076, 12363, 8455 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 9676, 6469, 8591, 10130, 6477 |
M_10_14 |
Male population age 10-14 | integer | 0% | 99 | 6929, 4853, 5357, 7524, 4378 |
M_15_19 |
Male population age 15-19 | integer | 0% | 99 | 6973, 5326, 5347, 6775, 4681 |
M_20_24 |
Male population age 20-24 | integer | 0% | 98 | 5888, 6938, 3883, 5241, 6700 |
M_25_29 |
Male population age 25-29 | integer | 0% | 99 | 5030, 5536, 3698, 4912, 5433 |
M_30_34 |
Male population age 30-34 | integer | 0% | 99 | 4058, 3789, 3179, 3782, 3665 |
M_35_39 |
Male population age 35-39 | integer | 0% | 97 | 3908, 2981, 3142, 3544, 2591 |
M_40_44 |
Male population age 40-44 | integer | 0% | 97 | 2883, 2146, 2267, 2703, 1757 |
M_45_49 |
Male population age 45-49 | integer | 0% | 98 | 2194, 1554, 1908, 2075, 1372 |
| +84 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 | BI, BI, BI, BI, BI |
population_count |
Population count | float | SEL | 2% | 65 | 2764258.0, 2835119.0, 2907943.0, 2969841.0, 3055650.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.262, 43.364, 43.492, 43.559, 43.601 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 70.9051000304602, 71.601929936627, 73.4195979769892,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 22.5100002288818, 37.3800010681152, 59.2999992370605,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 9% | 60 | 241.5, 243.5, 245.4, 247.3, 249.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 94% | 4 | 81.0, 67.1, 64.9, 51.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burundi, Burundi, Burundi, Burundi, Burundi |
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 | BI, BI, BI, BI, BI |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.262, 43.364, 43.492, 43.559, 43.601 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 9% | 60 | 241.5, 243.5, 245.4, 247.3, 249.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 1428.0, 1441.0, 1446.0, 1519.0, 1511.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 7.003, 7.023, 7.038, 7.067, 7.09 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 46.891, 46.414, 46.95, 46.758, 46.35 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 21.556, 21.295, 21.258, 21.18, 20.978 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 65% | 19 | 0.01, 0.017, 0.017, 0.012, 0.047 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 88% | 8 | 1.12240731716156, 1.28059995174408, 1.12320005893707,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 28 | 36.0, 33.0, 44.0, 26.0, 36.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.22181606, 5.68180418, 5.34983587, 5.27245188, 7.09572744 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burundi, Burundi, Burundi, Burundi, Burundi |
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 | BDI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Burundi |
admin_code |
Admin code | string | SEL | 0% | 1 | 31105016B92882777335892 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 25048.344 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 13488532 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 538.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI, BDI, BDI, BDI, BDI |
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% | 18 | Gitega, Ngozi, Kirundo, Muyinga, Kayanza |
admin_code |
Admin code | string | SEL | 0% | 18 | 87207978B95213924600823, 87207978B61642532121810,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 18 | 1894.3785, 1408.8448, 1751.1423, 1776.3372, 1177.4535 |
pop_2024 |
Population count | integer | SEL | 0% | 18 | 1209440, 1127869, 1065491, 1060373, 990837 |
pop_density_2024 |
Population density | float | SEL | 0% | 18 | 638.44, 800.56, 608.45, 596.94, 841.51 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI, BDI, BDI, BDI, BDI |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 10 | Bujumbura, Gitega, Ngozi, Muyinga, Rumonge |
admin_code |
Admin code | integer | SEL | 0% | 10 | 295, 983, 863, 1211, 595 |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 140.0588, 25.8272, 14.9001, 15.8933, 11.9205 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 877804, 102196, 78507, 56669, 48128 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 6267.4, 3956.91, 5268.89, 3565.59, 4037.41 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 10 | 1403419, 176123, 138143, 102771, 103919 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 10 | 0.625, 0.58, 0.568, 0.551, 0.463 |
| 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 | 63.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .bi |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 11.0 |
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 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | 14,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 14000.0 |
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 | 8,646,690 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 8646690.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 63 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-controlled Radio Television Nationale de Burundi... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 3.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 11% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 3,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 3000.0 |
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/by.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 | 800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 2.162 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 51.0 |
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | highly agrarian, low-income Sub-Saharan economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $11.739 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 | 11.739 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $11.343 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 | 11.343 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $11.048 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 | 11.048 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 3.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.8 |
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 | $800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 800.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $800 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 800.0 |
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 | $2.162 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 20.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 20.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 26.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 26.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 18.8% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 18.8 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +118 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 | 10.3 |
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | 10.3% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 64% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 64.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 1.7% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 1.7 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 131,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 131000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 444.018 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 444.018 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 100 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 100.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 39.994 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 39.994 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 31.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 31.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.5% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.5 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 66.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 66.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.6 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 10,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 10000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 6,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 6000.0 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 946,000 Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 946000.0 |
source_section |
source_section | string | 0% | 1 | Energy |
| +1 more extension field — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 83.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 10.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 14.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.43 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.872 |
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | soil erosion from overgrazing and agricultural... |
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, Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | equatorial; high plateau with considerable altitude... |
climate_numeric |
climate_numeric | float | 0% | 1 | 772.0 |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 83.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 51.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 51.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 18.8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 18.8 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 10.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 5.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 5.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 14.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.43% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 838,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 838000.0 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 32,000 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 | 32000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 806,000 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 | 806000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 26.3 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 26.3 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.872 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 | 7.1% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 7.1 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 43.1 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 43.1 |
| +8 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 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | Burundian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Burundian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Hutu, Tutsi, Twa, South Asian |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 27830.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 25680.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 2150.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1140.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2685.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 772.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 83.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 10.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 230.0 |
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | 3 30 S, 30 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 3.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 27,830 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 25,680 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 2,150 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 | 1,140 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Democratic Republic of the Congo 236 km; Rwanda 315 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 236.0 |
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 | equatorial; high plateau with considerable altitude... |
climate_numeric |
climate_numeric | float | 0% | 1 | 772.0 |
terrain_text |
terrain_text | string | 0% | 1 | hilly and mountainous, dropping to a plateau in east, some plains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | unnamed elevation on Mukike Range 2,685 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Lake Tanganyika 772 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,504 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1504.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | nickel, uranium, rare earth oxides, peat, cobalt,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 83.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 51.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 51.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 18.8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 18.8 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 10.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 5.2% (2023 est.) |
| +11 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 | BDI |
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 Burundi |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Burundi |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République du Burundi (French)/ Republika y'u Burundi (Kirundi) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Burundi |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Urundi, German East Africa, Ruanda-Urundi, Kingdom of Burundi |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name dates from 1966 and is derived from the name of the... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1966.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Gitega (political capital), Bujumbura (commercial capital) |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 3 25 S, 29 55 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 3.0 |
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 origin of the name Bujumbura is unclear, but "bu-"... |
capital_note |
capital_note | string | 0% | 1 | note: in January 2019, the Burundian parliament voted to... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 5 provinces: Buhumuza, Bujumbura, Burunga, Butanyerera, Gitega |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 5.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed legal system of Belgian civil law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous, ratified by referendum 28 February 2005 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 28.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic after... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
international_law_organization_participation_numeric |
international_law_organization_participation_numeric | float | 0% | 1 | 2017.0 |
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 Burundi |
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 |
| +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 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Established in the 1600s, the Burundi Kingdom has had... |
background_numeric |
background_numeric | float | 0% | 1 | 1600.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Kirundi (official), French (official), English... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 2008.0 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Igitabo Mpuzamakungu c'ibimenyetso bifatika, isoko... |
languages_note |
languages_note | string | 0% | 1 | note: data represent languages read and written by... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | 91,164 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 91164.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 92,174 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 92174.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 791 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 791.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | Burundi National Defense Force (BNDF; Force de Defense... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2024.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 3.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 3.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | limited available information; estimated 25-30,000... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 25.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military has a mix of mostly older armaments... |
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 years of age for voluntary military service for men... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 770 Central African Republic (MINUSCA); up to 10,000... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 770.0 |
military_note_text |
military_note_text | string | 0% | 1 | the National Defense Force (FDNB) is responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1993.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 13590102.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 6755456.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 6834646.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 42.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 54.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 83.9 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 77.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.2 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 17.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.96 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 35.91 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.51 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.81 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 14.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.43 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.99 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 392.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 35.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 68.1 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.94 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.43 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.08 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 71.4 |
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | 13,590,102 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 6,755,456 |
population_female_text |
population_female_text | string | 0% | 1 | 6,834,646 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 42.3% (male 2,895,275/female 2,848,286) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 54.4% (male 3,662,688/female 3,727,022) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.4% (2024 est.) (male 197,493/female 259,338) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 83.9 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 77.7 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.2 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 16.2 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 16.2 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 17.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 18 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 18.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 18.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 18.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.96% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 35.91 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.51 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.81 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | one of Africa's most densely populated countries;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 14.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.43% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.207 million BUJUMBURA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.207 |
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 | 0.98 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.98 |
| +92 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 93.9 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 3.4 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 93.9% (Roman Catholic 58.6%, Protestant 35.3%... |
religions_numeric |
religions_numeric | float | 0% | 1 | 93.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_christian__roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 58.6 |
composition_religion_christian__protestant_includes_adventist_2_7_and_other_protestant_religions_32_6_pct_synth |
Protestant [includes Adventist 2.7% and other Protestant religions 32.6%] | numeric | 0% | - | 35.3 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 1.3 |
composition_ethnicity_hutu_pct_synth |
Hutu | numeric | 0% | - | - |
composition_ethnicity_tutsi_pct_synth |
Tutsi | numeric | 0% | - | - |
composition_ethnicity_twa_pct_synth |
Twa | numeric | 0% | - | - |
composition_ethnicity_south_asian_pct_synth |
South Asian | numeric | 0% | - | - |
| 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 | 9U |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 6.0 |
country_code |
Country code | string | SEL | 0% | 1 | BDI |
country_name |
Country name | string | SEL | 0% | 1 | Burundi |
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 | 6 (2025) |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/by.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 10 | Bujumbura, Gitega, Ngozi, Kayanza, Rumonge |
country_code |
Country code | string | SEL | 0% | 1 | BDI, BDI, BDI, BDI, BDI |
population |
Population count | integer | SEL | 0% | 10 | 1403419, 176123, 138143, 124448, 103919 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 10 | 295, 983, 863, 734, 595 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Burundi, Burundi, Burundi, Burundi, Burundi |
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 |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 9 | buru1323, fuli1240, haaa1252, hang1260, kiny1244 |
name |
Name | string | CCL | 0% | 9 | Burundi Pidgin French, Fuliiru, Ha, Hangaza, Kinyarwanda |
iso639_3 |
Iso639 3 | string | CCL | 11% | 8 | flr, haq, han, kin, 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 | pidg1258, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 7 | fren1279, fuli1242, rund1244, hang1264, rwan1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['BI'], ['BI', 'CD'], ['BI', 'TZ'], ['BI', 'TZ'], ['BI',... |
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% | 4 | 0, 0, 0, 0, 7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 11% | 8 | -3.04022, -3.77873, -2.52347, -1.56771, -2.94 |
longitude |
longitude | float | 11% | 8 | 28.9865, 30.4894, 30.7074, 29.6441, 29.97 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI |
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 | BDI |
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 | BDI |
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 | BDI |
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 | BDI |
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 | BDI, BDI, BDI |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | fra, eng, run |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | French, English, Rundi |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 2756, 108, 60 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 94.2544, 3.6936, 2.052 |
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 | BDI |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Burundi |
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 | 99.9929 |
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 | 13999 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 13321 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 13998 |
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 | 2923 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 2758 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 7224 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 6957 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2526 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2338 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 632 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 603 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 385 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 371 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 204 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 201 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 92 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 80 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 13 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 13 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI, BDI |
society_id |
Society id | string | CCL | 0% | 2 | Ae8, Ad13 |
society_name |
Society name | string | CCL | 0% | 2 | Rundi, Kiga |
language_glottocode |
Language glottocode | string | CCL | 0% | 2 | rund1242, chig1238 |
language_name |
Language name | string | CCL | 0% | 1 | , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:0; EA002:0; EA003:1; EA004:3; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 2 | EA006:3; EA007:8; EA008:5; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:5; EA029:4; EA030:5; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:4; EA034:2; EA035:6, EA033:1; EA034:2; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:2; EA112:2, EA034:2; EA112:6 |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:1; EA012:8; EA013:2, EA011:1; EA012:8; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burundi, Burundi |
dataset |
dataset | string | 0% | 1 | EA, EA |
region |
region | string | 0% | 1 | , |
latitude |
latitude | float | 0% | 1 | -3.0, -3.0 |
longitude |
longitude | float | 0% | 1 | 30.0, 30.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BDI, BDI |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Hutu, Tutsi |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | SENIOR PARTNER, JUNIOR PARTNER |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.85, 0.14 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 51601000, 51602000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, 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 | 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. | |||||
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 |
|---|---|---|---|
| French (fra) | 2,756 | 94.3% | — |
| English (eng) | 108 | 3.7% | — |
| Rundi (run) | 60 | 2.1% | — |
13,321 distinct features ·
3 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.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Afrobarometer | academic | api |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.