BLR-LANDSCAN (2024)
— 7 subnational units
across
admin_1 (7).
Modeled, not enumerated — it is an estimate built on census
inputs, not the published tabulation.
3 further sources (GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BLR, BLR, BLR, BLR, BLR |
gns_language_code |
gns_language_code | string | CCL | 0% | 9 | rus, bel, pol, eng, lit |
gns_language_name |
gns_language_name | string | CCL | 0% | 9 | Russian, Belarusian, Polish, English, Lithuanian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 8 | 60551, 11826, 115, 63, 62 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 8 | 83.298, 16.2686, 0.1582, 0.0867, 0.0853 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 5 | 35507, 7084, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | Cyrl, Cyrl, , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | Cyrillic, Cyrillic, , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 4 | 5, 2, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BLR |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Belarus |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 9 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 5 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9939 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 42636 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 99047 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 37331 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 99041 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Thu, 24 Sep 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-09-24 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 70668 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 27015 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 9283 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 3764 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 10625 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 4611 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 381 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 170 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 6878 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1451 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 145 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 67 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1059 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 249 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 8 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BLR, BLR, BLR, BLR, BLR |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 100 | -1941833, -1943185, -1943431, -1946395, -1946325 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 100 | Brestskaya Voblasts’, Homyel’skaya Voblasts’,... |
gns_local_name |
gns_local_name | string | 0% | 100 | Брэсцкая Вобласць, Гомельская Вобласць, Гродненская... |
iso_3166_2 |
iso_3166_2 | string | 0% | 7 | BY-BR, BY-HO, BY-HR, BY-MA, BY-HM |
parent_code |
parent_code | string | 0% | 7 | BLR, BLR, BLR, BLR, BLR |
gns_prominence_band |
gns_prominence_band | integer | 0% | 3 | 7, 9, 9, 9, 7 |
latitude |
latitude | float | 0% | 100 | 52.38333333, 52.3, 53.71666667, 53.8, 53.9 |
longitude |
longitude | float | 0% | 100 | 25.48333333, 29.66666667, 25.16666667, 30.41666667, 27.58333333 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 35ULU9677504757, 35UPT8182597755, 35ULV7901753559,... |
name_variant_count |
name_variant_count | integer | 0% | 6 | 5, 5, 5, 5, 10 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BY, BY, BY, BY, BY |
population_count |
Population count | float | SEL | 2% | 65 | 8198000.0, 8271216.0, 8351928.0, 8437232.0, 8524224.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 69.2546097560976, 69.7383902439024, 69.4623170731708,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 47% | 35 | 1706.64091882343, 1805.45592531527, 1658.08641281239,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 97.879997253418, 99.5899963378906, 99.620002746582,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 59 | 44.9, 40.5, 36.8, 33.6, 31.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 59% | 26 | 38.6, 32.1, 33.0, 46.7, 41.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Belarus, Belarus, Belarus, Belarus, Belarus |
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 | BY, BY, BY, BY, BY |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 69.2546097560976, 69.7383902439024, 69.4623170731708,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 30 | 10.3, 10.0, 9.9, 9.8, 9.8 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 59 | 44.9, 40.5, 36.8, 33.6, 31.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 21 | 30.0, 30.0, 30.0, 32.0, 33.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 56 | 2.67, 2.59, 2.5, 2.4, 2.31 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 49 | 24.389, 23.834, 22.771, 21.15, 19.162 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 48 | 7.751, 7.574, 7.811, 7.738, 7.241 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 49% | 34 | 2.9109, 2.8961, 2.9409, 2.9571, 2.987 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 39% | 37 | 12.5460996627808, 13.0712995529175, 13.2604999542236,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 50% | 9 | 90.0, 91.0, 92.0, 96.0, 98.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 5.28088045, 5.7064805, 5.62404203, 5.77103186, 5.73650646 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Belarus, Belarus, Belarus, Belarus, Belarus |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | BLR, BLR, BLR, BLR, BLR |
country_name |
country_name | string | 0% | 1 | Belarus, Belarus, Belarus, Belarus, Belarus |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 1248977.0, 1186282.0, 1123586.0, 1106982.0, 1090378.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 5 | 12.3, 11.6, 11.2, 11.5, 11.5 |
net_migration |
net_migration | float | 0% | 64 | -27382.0, -26780.0, -32996.0, -28653.0, -17837.0 |
remittances_received_usd |
remittances_received_usd | float | 50% | 32 | 400000.006, 400000.006, 28500000.0, 93300000.0, 46500000.0 |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 50% | 33 | 0.00245774622975959, 0.0026789119718422,... |
remittances_paid_usd |
remittances_paid_usd | float | 50% | 33 | 3500000.0, 17000000.0, 11900000.0, 35600000.0, 25700000.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Belarus |
admin_code |
Admin code | string | SEL | 0% | 1 | 10690812B6439167788480 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 207721.1822 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 9503733 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 45.75 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR, BLR, BLR, BLR, BLR |
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% | 7 | Minsk, Minsk City, Gomel, Brest, Vitebsk |
admin_code |
Admin code | string | SEL | 0% | 7 | 45462678B52111461583443, 45462678B57724394311820,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 7 | 39642.3456, 217.3479, 40256.7199, 33080.7405, 40355.3669 |
pop_2024 |
Population count | integer | SEL | 0% | 7 | 2083129, 1435692, 1402168, 1361844, 1147971 |
pop_density_2024 |
Population density | float | SEL | 0% | 7 | 52.55, 6605.5, 34.83, 41.17, 28.45 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR, BLR, BLR, BLR, BLR |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 14 | Minsk, Homel, Vitsebsk, Mahilioŭ, Brest |
admin_code |
Admin code | integer | SEL | 0% | 14 | 724, 1609, 1310, 1513, 280 |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 245.5003, 75.1309, 63.1462, 76.1554, 70.1136 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 1929583, 408413, 300306, 295225, 257325 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 7859.8, 5436.02, 4755.73, 3876.61, 3670.12 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 14 | 2093512, 571257, 382195, 399369, 397637 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 14 | 0.922, 0.715, 0.786, 0.739, 0.647 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 15 | balk1252, balt1257, bela1254, carp1235, east2295 |
name |
Name | string | CCL | 0% | 15 | Balkan Romani, Baltic Romani, Belarusian, Central... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 15 | rmn, rml, bel, rmc, ydd |
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% | 3 | indo1319, indo1319, indo1319, indo1319, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 9 | roma1329, roma1329, east1426, roma1329, schl1237 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
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% | 9 | 19, 7, 3, 14, 12 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 15 | 42.67, 57.29, 53.2307, 48.1968, 51.75 |
longitude |
longitude | float | 0% | 15 | 21.17, 29.06, 25.6038, 20.3129, 19.42 |
country_codes |
Country codes | string | 0% | 14 | ['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',... |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 14 | Minsk, Homel, Mahilioŭ, Brest, Hrodna |
country_code |
Country code | string | SEL | 0% | 1 | BLR, BLR, BLR, BLR, BLR |
population |
Population count | integer | SEL | 0% | 14 | 2093512, 571257, 399369, 397637, 395330 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 14 | 724, 1609, 1513, 280, 105 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Belarus, Belarus, Belarus, Belarus, Belarus |
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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 46.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 131.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 92.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 35.0 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | 4.14 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 4.14 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 46 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 11.9 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 11.9 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 131 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 7 state-controlled national TV channels; Polish and... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 7.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .by |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 92% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 3.2 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 3.2 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 35 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.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 | 29000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 75.962 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 3.9 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | declining Russian energy subsidies will end in 2024;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2024.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $265.22 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 | 265.22 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $254.995 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 | 254.995 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $244.89 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 | 244.89 |
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 | 4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | -4.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | -4.7 |
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 | $29,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $27,800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 27800.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $26,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 26500.0 |
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 | $75.962 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 5.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 5.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 15.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 15.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +123 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 12.653 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 12.653 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 39.883 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 39.883 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 4.553 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 4.553 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 4 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 4.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.149 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.149 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 70% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 70.0 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 26.9% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 26.9 |
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_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.9 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.2 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 2 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 2.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 2.22GW (2025 est.) |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 2.22 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 28.6% (2023 est.) |
nuclear_energy_percent_of_total_electricity_production_numeric |
nuclear_energy_percent_of_total_electricity_production_numeric | float | 0% | 1 | 28.6 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 710,000 metric tons (2023 est.) |
| +23 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 | 39.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 44.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 80.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.28 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.28 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 pollution from pesticide use; southern part of the... |
environmental_issues_numeric |
environmental_issues_numeric | float | 0% | 1 | 1986.0 |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Air Pollution, Air Pollution-Nitrogen Oxides, Air... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 85.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | cold winters, cool and moist summers; transitional... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 39.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 27.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 27.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 11.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 11.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 44% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 80.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.28% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 46.709 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 46.709 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1.497 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 1.497 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 15.884 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 15.884 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 29.328 million 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 | 29.328 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 13.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 13.4 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 4.28 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 | 19% (2022 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 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | Belarusian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Belarusian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Belarusian 83.7%, Russian 8.3%, Polish 3.1%, Ukrainian... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 83.7 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 207600.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 202900.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 4700.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3599.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 346.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 90.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 39.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 44.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 260.0 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Europe, east of Poland |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 53 00 N, 28 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 53.0 |
map_references_text |
map_references_text | string | 0% | 1 | Europe |
area_total_text |
area_total_text | string | 0% | 1 | 207,600 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 202,900 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 4,700 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than twice the size of Kentucky; slightly... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,599 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Latvia 161 km; Lithuania 640 km; Poland 375 km; Russia... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 161.0 |
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 | cold winters, cool and moist summers; transitional... |
terrain_text |
terrain_text | string | 0% | 1 | generally flat with much marshland |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Dzyarzhynskaya Hara 346 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Nyoman River 90 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 160 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 160.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | timber, peat deposits, small quantities of oil and... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 39.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 27.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 27.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 11.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 11.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 44% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.5 |
| +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 | BLR |
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 Belarus |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Belarus |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Respublika Byelarus' (Belarusian)/ Respublika Belarus' (Russian) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Byelarus' (Belarusian)/ Belarus' (Russian) |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Belorussian (Byelorussian) Soviet Socialist Republic |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name is a compound of the Slavic words "bel" (white)... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic in name, although in fact a dictatorship |
capital_name_text |
capital_name_text | string | 0% | 1 | Minsk |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 53 54 N, 27 34 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 53.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the origin of the name is disputed; it may be derived... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 6 regions (voblastsi, singular - voblasts') and 1... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 6.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest drafted between late 1991 and... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1991.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic through... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 150000.0 |
constitution_note |
constitution_note | string | 0% | 1 | note: one of several amendments passed in the February... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Belarus |
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 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
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 Alyaksandr LUKASHENKA (since 20 July 1994) |
| +85 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 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | After seven decades as a constituent republic of the... |
background_numeric |
background_numeric | float | 0% | 1 | 1991.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Russian (official) 71.4%, Belarusian (official) 26%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 71.4 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Книга фактов о мире – незаменимый источник базовой... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | 44,621 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 44621.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 5,620 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 5620.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Belarus does not fully meet the minimum... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | Belarus Armed Forces: Army, Air and Air Defense Force,... |
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 | 2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.8% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.8 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.7% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.7 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 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 | 1.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 50-60,000 active-duty military personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 50.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory is comprised mostly of Russian... |
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 | 18-27 years of age for compulsory military or... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the military of Belarus is responsible for territorial... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2022.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 9460972.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 4414771.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 5046201.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 16.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 66.1 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 17.8 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 52.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 24.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 27.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 42.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.44 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 8.16 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 13.21 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.67 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 80.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.28 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.88 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 1.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 2.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 74.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.45 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.7 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 4.72 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 9.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 99.9 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
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 | 9,460,972 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 4,414,771 |
population_female_text |
population_female_text | string | 0% | 1 | 5,046,201 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 16.1% (male 787,849/female 741,293) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 66.1% (male 3,073,507/female 3,204,088) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 17.8% (2024 est.) (male 572,483/female 1,122,231) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 52 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 24.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 27.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 3.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 3.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 42.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 39.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 39.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 45 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 45.0 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.44% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 8.16 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 13.21 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.67 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | a fairly even distribution throughout most of the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 80.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.28% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.057 million MINSK (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.057 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.96 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.96 |
| +91 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 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 3.5 |
composition_ethnicity_primary_label_synth |
Belarusian | string | CCL | 0% | - | Belarusian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Orthodox 48.3%, Catholic 7.1%, other 3.5%, non-believers... |
religions_numeric |
religions_numeric | float | 0% | 1 | 48.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_orthodox_pct_synth |
Orthodox | numeric | 0% | - | 48.3 |
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 7.1 |
composition_religion_non_believers_pct_synth |
non-believers | numeric | 0% | - | 41.1 |
composition_ethnicity_belarusian_pct_synth |
Belarusian | numeric | 0% | - | 83.7 |
composition_ethnicity_russian_pct_synth |
Russian | numeric | 0% | - | 8.3 |
composition_ethnicity_polish_pct_synth |
Polish | numeric | 0% | - | 3.1 |
composition_ethnicity_ukrainian_pct_synth |
Ukrainian | numeric | 0% | - | 1.7 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 2.4 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.9 |
composition_ethnicity_primary_share_pct_synth |
Belarusian | numeric | 0% | - | 83.7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 46.0 |
country_code |
Country code | string | SEL | 0% | 1 | BLR |
country_name |
Country name | string | SEL | 0% | 1 | Belarus |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | EW |
airports_text |
airports_text | string | 0% | 1 | 46 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 4 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 4.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 5,528 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 5528.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 25 km (2014) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 25.0 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 5,503 km (2014) 1.520-m gauge (874 km electrified) |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 5503.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 4 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 4.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | other 4 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 4.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/bo.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BLR |
society_id |
Society id | string | CCL | 0% | 1 | Ch6 |
society_name |
Society name | string | CCL | 0% | 1 | Byelorussians |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | bela1254 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA017:1; EA018:1; EA019:1; EA020:1; EA021:2; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:7; EA007:8; EA008:6; EA009:1; EA023:12; EA025:15 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:1; EA004:3; EA005:6; EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:3; EA033:5 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:2; EA011:2; EA012:2; EA013:9; EA014:6 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:7; EA031:7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Belarus |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 55.0 |
longitude |
longitude | float | 0% | 1 | 28.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BLR |
society_id |
society_id | string | CCL | 0% | 1 | Ch6 |
society_name |
society_name | string | CCL | 0% | 1 | Byelorussians |
language_glottocode |
language_glottocode | string | CCL | 0% | 1 | bela1254 |
language_name |
language_name | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Belarus |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 55.0 |
longitude |
longitude | float | 0% | 1 | 28.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 0% | 1 | 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 1 | 5 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 4 |
trance_states |
trance_states | string | 100% | - | - |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 0% | 1 | 7 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 2 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 2 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 2 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 1 | 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 1 | 6 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 1 | 1 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 1 | 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 1 | 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 2 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 0% | 1 | 3 |
descent_major_type |
descent_major_type | integer | 0% | 1 | 6 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | BLR |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 0.0 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.0 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.0 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 202910.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.1 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.153148929973978 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 5.6 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 2.47119688987732 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 3.0 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 0.6 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 0.7 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 2.7 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.2 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.2 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 0.2 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 1.0 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 3.5 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 0.0 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 0.6 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 0.0 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 0.0 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 0.1 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.0 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 4.8 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 3.0 |
inform_cc_ins_drr_sg_dsr_lgrgsr |
Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR] | float | 0% | 1 | 2.9 |
| +233 more pending 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share* | Script |
|---|---|---|---|
| Russian (rus) | 60,551 | 83.3% | Cyrillic +4 |
| Belarusian (bel) | 11,826 | 16.3% | Cyrillic +1 |
| Polish (pol) | 115 | 0.2% | — |
| English (eng) | 63 | 0.1% | — |
| Lithuanian (lit) | 62 | 0.1% | — |
| Ukrainian (ukr) | 61 | 0.1% | Cyrillic |
| + 3 further languages (14 names, each under 0.05%) | |||
37,331 distinct features ·
9 languages ·
5 scripts ·
42,636 names in non-Roman script ·
6 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Thu, 24 Sep 2026.
* Shares are of the
72,692 names that carry a language
code; the remaining 26,355 of
99,047 are unattributed, so these
percentages do not divide into the headline count.
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 |
|---|---|---|
| Glottolog Language Catalog | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| INFORM Risk Index (EC-JRC) | international_organization | api |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| 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.