| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL, BOL |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 10 | Total, Beni, Chuquisaca, Cochabamba, La Paz |
human_development_index |
Human development index | float | SEL | 0% | 77 | 0.589, 0.584, 0.531, 0.597, 0.592 |
health_index |
Health index | float | SEL | 0% | 79 | 0.566, 0.619, 0.539, 0.55, 0.555 |
education_index |
Education index | float | SEL | 0% | 92 | 0.614, 0.587, 0.526, 0.649, 0.639 |
income_index |
Income index | float | SEL | 0% | 80 | 0.587, 0.549, 0.527, 0.595, 0.585 |
life_expectancy |
Life expectancy | float | SEL | 0% | 99 | 56.8, 60.24, 55.04, 55.76, 56.08 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 93 | 9.204, 9.162, 7.06, 9.844, 9.58 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BO, BO, BO, BO, BO |
population_count |
Population count | float | SEL | 2% | 65 | 3702323.0, 3778731.0, 3857493.0, 3938913.0, 4022996.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.338, 43.628, 44.002, 44.335, 44.674 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 101.833417024987, 108.528765371499, 116.24147429449,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 83% | 11 | 63.2099990844727, 79.9899978637695, 86.7200012207031,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 290.4, 284.3, 278.1, 272.1, 266.1 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 88% | 8 | 43.0, 42.2, 39.9, 37.2, 39.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Bolivia, Bolivia, Bolivia, Bolivia, Bolivia |
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 | BO, BO, BO, BO, BO |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.338, 43.628, 44.002, 44.335, 44.674 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 12% | 58 | 70.9, 69.1, 67.2, 65.1, 63.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 290.4, 284.3, 278.1, 272.1, 266.1 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 518.0, 503.0, 478.0, 457.0, 430.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.273, 6.257, 6.246, 6.232, 6.21 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 43.906, 43.875, 43.856, 43.823, 43.708 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 22.703, 22.411, 22.057, 21.733, 21.4 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 73% | 18 | 0.267, 0.311, 0.509, 0.49, 0.523 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 61% | 21 | 1.84541928768158, 2.32170009613037, 2.05879998207092,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 34 | 11.0, 13.0, 12.0, 10.0, 6.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.39554119, 4.82522202, 4.89645052, 5.19709635, 4.86315727 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Bolivia, Bolivia, Bolivia, Bolivia, Bolivia |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 19 | 96.3, 95.2, 96.7, 83.0, 86.3 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 18 | 98.6, 98.7, 98.6, 94.9, 96.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Bolivia, Bolivia, Bolivia, Bolivia, Bolivia |
survey_year |
survey_year | integer | 0% | 2 | 2008, 2003, 2008, 2003, 2008 |
region |
region | string | 0% | 13 | ..Beni, ..Beni/Pando, ..Beni/Pando, ..Chuquisaca, ..Chuquisaca |
survey_id |
survey_id | string | 0% | 2 | BO2008DHS, BO2003DHS, BO2008DHS, BO2003DHS, BO2008DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 47 | 33.7, 17.6, 26.7, 37.3, 34.5 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 36 | 39.0, 69.0, 58.0, 46.0, 41.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 39 | 56.0, 102.0, 74.0, 69.0, 57.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 46 | 64.6, 25.8, 17.8, 51.5, 65.6 |
children_underweight |
Children underweight | float | CCL | 6% | 38 | 2.7, 14.4, 6.3, 7.5, 2.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Bolivia, Bolivia, Bolivia, Bolivia, Bolivia |
survey_year |
survey_year | integer | 0% | 5 | 2008, 1994, 1998, 2003, 2008 |
region |
region | string | 0% | 13 | ..Beni, ..Beni/Pando, ..Beni/Pando, ..Beni/Pando, ..Beni/Pando |
survey_id |
survey_id | string | 0% | 5 | BO2008DHS, BO1994DHS, BO1998DHS, BO2003DHS, BO2008DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 68 | amer1248, apol1242, arao1248, ayor1240, baur1253 |
name |
Name | string | CCL | 0% | 68 | American Sign Language, Apolista, Araona, Ayoreo, Baure |
iso639_3 |
Iso639 3 | string | CCL | 22% | 53 | ase, aro, ayo, brg, bvl |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 15% | 16 | sign1238, araw1281, pano1259, zamu1243, araw1281 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 15% | 41 | amer1258, uncl1518, arao1247, zamu1244, boli1260 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 13 | ['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF', 'CI', 'CN',... |
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% | 8 | 2, 0, 0, 1, 6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 6% | 64 | 33.8117, -14.83, -12.4242, -19.220055, -13.61 |
longitude |
longitude | float | 6% | 64 | -81.6121, -68.66, -67.7293, -60.217495, -63.68 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Bolivia (Plurinational State * |
admin_code |
Admin code | string | SEL | 0% | 1 | 4181665B24441819145609 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1068764.8111 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 12312464 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 11.52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL, BOL |
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% | 9 | Santa Cruz, La Paz, Cochabamba, Potosí, Chuquisaca |
admin_code |
Admin code | string | SEL | 0% | 9 | 26024454B26939592883549, 26024454B78392246351569,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 9 | 368775.7684, 128256.1618, 54448.5524, 109818.8841, 50943.1664 |
pop_2024 |
Population count | integer | SEL | 0% | 9 | 3515158, 3128607, 2171529, 936249, 677141 |
pop_density_2024 |
Population density | float | SEL | 0% | 9 | 9.53, 24.39, 39.88, 8.53, 13.29 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL, BOL |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 13 | La Paz, Santa Cruz de la Sierra, Cochabamba, Oruro, Sucre |
admin_code |
Admin code | integer | SEL | 0% | 13 | 212, 1375, 666, 524, 1047 |
area_sqkm |
Area sqkm | float | SEL | 0% | 13 | 289.3673, 301.3505, 291.3895, 70.615, 33.8207 |
pop_2024 |
Population count | integer | SEL | 0% | 13 | 2112859, 2032725, 1351483, 346782, 319075 |
pop_density_2024 |
Population density | float | SEL | 0% | 13 | 7301.65, 6745.38, 4638.06, 4910.88, 9434.31 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 13 | 2063633, 2016833, 1357548, 368456, 292078 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 13 | 1.024, 1.008, 0.996, 0.941, 1.092 |
| 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 | 3.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 98.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .bo |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 70.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 11.0 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
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 | 369,000 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 369000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 12.2 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 12.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 98 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | large number of radio and TV stations broadcasting with... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2019.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 70% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.33 million (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.33 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 11 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.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 | 9800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 49.668 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 37.7 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
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 | resource-rich economy benefits during commodity booms;... |
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 | $122.2 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 | 122.2 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $120.531 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 | 120.531 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $116.927 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 | 116.927 |
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 | 1.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 1.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.6 |
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 | $9,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $9,800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 9800.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $9,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 9700.0 |
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 | $49.668 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 5.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 5.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 1.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 1.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +120 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 | 99.9 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
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 | 99.9% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 95.6% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 95.6 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 4.375 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 4.375 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 10.863 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 10.863 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.079 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.079 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 65% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 65.0 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 3.7% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 3.7 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 24.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 24.9 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 3.5% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 3.5 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 9,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 9000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 7,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 7000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 1 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 1.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 58,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 58000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 100,000 bbl/day (2023 est.) |
| +15 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 | 35.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 50.6 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 71.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.87 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.219 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation from agricultural clearing and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Environmental Modification, Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | varies with altitude; humid and tropical to cold and semiarid |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 35.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.2% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.2 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 30.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 30.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 50.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 13.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 13.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 71.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.87% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 21.552 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 21.552 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 24,000 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 | 24000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 13.647 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 | 13.647 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 7.881 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 | 7.881 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 24.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 24.6 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 122.8 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 122.8 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 673.4 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 673.4 |
| +17 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
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 | Bolivian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Bolivian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Mestizo (mixed White and Indigenous ancestry) 68%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 68.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1098581.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1083301.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 15280.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 7252.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 6542.0 |
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 | 35.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 50.6 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 2972.0 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central South America, southwest of Brazil |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 17 00 S, 65 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 17.0 |
map_references_text |
map_references_text | string | 0% | 1 | South America |
area_total_text |
area_total_text | string | 0% | 1 | 1,098,581 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,083,301 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 15,280 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than three times the size of Montana |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 7,252 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Argentina 942 km; Brazil 3,403 km; Chile 942 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 942.0 |
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 | varies with altitude; humid and tropical to cold and semiarid |
terrain_text |
terrain_text | string | 0% | 1 | rugged Andes Mountains with a highland plateau... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Nevado Sajama 6,542 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Rio Paraguay 90 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,192 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1192.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | lithium, tin, natural gas, petroleum, zinc, tungsten,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 35.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.2% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.2 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 30.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 30.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 50.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 13.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 13.5 |
| +15 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
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 | Plurinational State of Bolivia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Bolivia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Estado Plurinacional de Bolivia |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Bolivia |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Upper Peru |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country is named in honor of Simón BOLÍVAR, a... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 19.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | La Paz (administrative capital); Sucre (constitutional... |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 16 30 S, 68 09 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 16.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-4 (1 hour ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -4.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | La Paz is a shortening of the original name of the city,... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1795.0 |
capital_note |
capital_note | string | 0% | 1 | note: at approximately 3,630 m above sea level, La Paz's... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 departments (departamentos, singular - departamento);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system with influences from Roman, Spanish,... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | many previous; latest drafted 6 August 2006 to 9... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 6.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed through public petition by at least 20% of... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 20.0 |
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 | yes |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 3 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 3.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal and compulsory |
| +96 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 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Bolivia, named after independence fighter Simón BOLÍVAR,... |
background_numeric |
background_numeric | float | 0% | 1 | 1825.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Spanish (official) 68.1%, Quechua (official) 17.2%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 68.1 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | La Libreta Informativa del Mundo, la fuente... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 1,163 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1163.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 12,070 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 12070.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Bolivia did not demonstrate overall... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
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 | Bolivian Armed Forces (Fuerzas Armadas de Bolivia or... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.3 |
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 | 1.4% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 30-35,000 active-duty Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 30.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military is equipped with a mix of mostly older... |
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 | voluntary service for men and women 18-22 years of age;... |
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 Bolivian Armed Forces (FAB) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 5000.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 12436103.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 6257914.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 6178189.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 28.5 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 64.5 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 7.0 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 54.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 42.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 11.0 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 27.0 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.01 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 17.02 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.99 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.95 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 71.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.87 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.01 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 146.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 22.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 72.5 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.13 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.04 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.28 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 95.6 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
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 | 12,436,103 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 6,257,914 |
population_female_text |
population_female_text | string | 0% | 1 | 6,178,189 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 28.5% (male 1,792,803/female 1,718,081) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 64.5% (male 4,002,587/female 3,937,953) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 7% (2024 est.) (male 397,384/female 463,166) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 54 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 42.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 11 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 9.1 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 9.1 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 27 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 26.2 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 26.2 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 27 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 27.0 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.01% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 17.02 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.99 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.95 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | a high-altitude plain in the west between two cordillera... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 71.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.87% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.936 million LA PAZ (capital), 1.820 million Santa... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.936 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.02 |
| +87 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.8 |
composition_ethnicity_primary_label_synth |
Mestizo (mixed White and Indigenous ancestry) | string | CCL | 0% | - | Mestizo (mixed White and Indigenous ancestry) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 65%, Protestant 19.6% (Evangelical... |
religions_numeric |
religions_numeric | float | 0% | 1 | 65.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 65.0 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 19.6 |
composition_religion_protestant__evangelical_non_specific_pct_synth |
Evangelical (non-specific) | numeric | 0% | - | 11.9 |
composition_religion_protestant__evangelical_baptist_pct_synth |
Evangelical Baptist | numeric | 0% | - | 2.1 |
composition_religion_protestant__evangelical_pentecostal_pct_synth |
Evangelical Pentecostal | numeric | 0% | - | 1.8 |
composition_religion_protestant__evangelical_methodist_pct_synth |
Evangelical Methodist | numeric | 0% | - | 0.7 |
composition_religion_protestant__adventist_pct_synth |
Adventist | numeric | 0% | - | 2.8 |
composition_religion_protestant__protestant_non_specific_pct_synth |
Protestant (non-specific) | numeric | 0% | - | 0.3 |
composition_religion_believer_not_belonging_to_the_church_pct_synth |
Believer (not belonging to the church) | numeric | 0% | - | 0.9 |
composition_religion_atheist_pct_synth |
atheist | numeric | 0% | - | 1.7 |
composition_religion_agnostic_pct_synth |
agnostic | numeric | 0% | - | 0.6 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 6.1 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 1.3 |
composition_ethnicity_mestizo_mixed_white_and_indigenous_ancestry_pct_synth |
Mestizo (mixed White and Indigenous ancestry) | numeric | 0% | - | 68.0 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 20.0 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 5.0 |
composition_ethnicity_cholo_chola_pct_synth |
Cholo/Chola | numeric | 0% | - | 2.0 |
composition_ethnicity_african_descent_pct_synth |
African descent | numeric | 0% | - | 1.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 1.0 |
composition_ethnicity_unspecified_44_other_indigenous_group_pct_synth |
unspecified ; 44% other Indigenous group | numeric | 0% | - | 3.0 |
composition_ethnicity_predominantly_quechua_or_aymara_pct_synth |
predominantly Quechua or Aymara | numeric | 0% | - | - |
composition_ethnicity_primary_share_pct_synth |
Mestizo (mixed White and Indigenous ancestry) | numeric | 0% | - | 68.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Bolivian Space Agency (la Agencia Boliviana Espacial,... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2010.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a small space program focused on acquiring and... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 2013 - first communications satellite (Túpac Katari,... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2013.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Tren de Aragua (TdA) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major illicit drug-producing and/or drug-transit... |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | CP |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 201.0 |
country_code |
Country code | string | SEL | 0% | 1 | BOL |
country_name |
Country name | string | SEL | 0% | 1 | Bolivia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 201 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 3 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 3.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 3,960 km (2019) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 3960.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 3,960 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 3960.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 50 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 50.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 30, oil tanker 2, other 18 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 30.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/bl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 13 | La Paz, Santa Cruz de la Sierra, Cochabamba, Oruro, Sucre |
country_code |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL, BOL |
population |
Population count | integer | SEL | 0% | 13 | 2063633, 2016833, 1357548, 368456, 292078 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 13 | 212, 1375, 666, 524, 1047 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Bolivia, Bolivia, Bolivia, Bolivia, Bolivia |
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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | BO |
region_name |
Region name | string | SEL | 0% | 1 | Bolivia (Plurinational State of) |
F_TL |
Female population | integer | SEL | 0% | 1 | 5982830 |
M_TL |
Male population | integer | SEL | 0% | 1 | 6023201 |
T_TL |
Total population | integer | SEL | 0% | 1 | 12006031 |
| 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 | 578698 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 575546 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 573376 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 561678 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 536721 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 498015 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 449368 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 401178 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 352896 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 304799 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 258768 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 217533 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 182505 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 152349 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 124971 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 94391 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 120038 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 605485 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 600828 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 598215 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 584763 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 555170 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 510401 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 456309 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 403692 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 351829 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 300770 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 9 | BO08, BO01, BO03, BO02, BO04 |
region_name |
Region name | string | SEL | 0% | 9 | Beni, Chuquisaca, Cochabamba, La Paz, Oruro |
F_TL |
Female population | integer | SEL | 0% | 9 | 250914, 332123, 1065739, 1536809, 271339 |
M_TL |
Male population | integer | SEL | 0% | 9 | 265424, 328996, 1051373, 1515138, 281749 |
T_TL |
Total population | integer | SEL | 0% | 9 | 516338, 661119, 2117112, 3051947, 553088 |
| 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% | 9 | 31575, 32410, 100644, 131723, 23352 |
F_05_09 |
Female population age 5-9 | integer | 0% | 9 | 29836, 31690, 98610, 134220, 24553 |
F_10_14 |
Female population age 10-14 | integer | 0% | 9 | 28940, 32542, 99799, 138544, 25433 |
F_15_19 |
Female population age 15-19 | integer | 0% | 9 | 27198, 32160, 100773, 138229, 24353 |
F_20_24 |
Female population age 20-24 | integer | 0% | 9 | 23400, 31159, 98381, 132161, 22451 |
F_25_29 |
Female population age 25-29 | integer | 0% | 9 | 19739, 27831, 91396, 123288, 20802 |
F_30_34 |
Female population age 30-34 | integer | 0% | 9 | 17600, 23139, 81486, 113535, 19149 |
F_35_39 |
Female population age 35-39 | integer | 0% | 9 | 15125, 19667, 71222, 104527, 18660 |
F_40_44 |
Female population age 40-44 | integer | 0% | 9 | 12489, 17298, 61959, 96095, 17816 |
F_45_49 |
Female population age 45-49 | integer | 0% | 9 | 10497, 15562, 52550, 86048, 15417 |
F_50_54 |
Female population age 50-54 | integer | 0% | 9 | 8823, 13707, 43705, 75991, 13073 |
F_55_59 |
Female population age 55-59 | integer | 0% | 9 | 7045, 12145, 37606, 64099, 11094 |
F_60_64 |
Female population age 60-64 | integer | 0% | 9 | 5685, 10404, 32345, 53938, 9343 |
F_65_69 |
Female population age 65-69 | integer | 0% | 9 | 4385, 8777, 28257, 44477, 8150 |
F_70_74 |
Female population age 70-74 | integer | 0% | 9 | 3435, 7823, 23752, 36954, 6650 |
F_75_79 |
Female population age 75-79 | integer | 0% | 9 | 2380, 6379, 18612, 28009, 4999 |
F_80Plus |
F_80Plus | integer | 0% | 9 | 2762, 9430, 24642, 34971, 6044 |
M_00_04 |
Male population age 0-4 | integer | 0% | 9 | 32988, 33926, 105418, 137480, 24623 |
M_05_09 |
Male population age 5-9 | integer | 0% | 9 | 31112, 33098, 103283, 139013, 26151 |
M_10_14 |
Male population age 10-14 | integer | 0% | 9 | 30262, 33865, 104222, 143270, 27333 |
M_15_19 |
Male population age 15-19 | integer | 0% | 9 | 28878, 33576, 103831, 142733, 27193 |
M_20_24 |
Male population age 20-24 | integer | 0% | 9 | 25480, 32716, 99852, 134168, 25797 |
M_25_29 |
Male population age 25-29 | integer | 0% | 9 | 21293, 28845, 92102, 123416, 23535 |
M_30_34 |
Male population age 30-34 | integer | 0% | 9 | 18294, 23250, 81321, 113265, 21515 |
M_35_39 |
Male population age 35-39 | integer | 0% | 9 | 15577, 19400, 69866, 103101, 19910 |
M_40_44 |
Male population age 40-44 | integer | 0% | 9 | 12847, 16672, 59860, 93387, 17794 |
M_45_49 |
Male population age 45-49 | integer | 0% | 9 | 11043, 14702, 49759, 82174, 14818 |
| +24 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 | BO, BO, BO, BO, BO |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL, BOL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 9 | 8.68, -11.23, -3.95, -6.07, -13.96 |
grocery |
grocery | float | 0% | 9 | 10.2, -8.92, 12.27, -0.66, 14.32 |
parks |
parks | float | 0% | 9 | -12.0, -8.41, 3.05, 0.96, -8.96 |
transit |
transit | float | 0% | 9 | -22.52, -27.31, -10.67, -5.32, -37.7 |
workplaces |
workplaces | float | 0% | 9 | 2.59, -4.73, 1.26, 0.29, -1.05 |
residential |
residential | float | 0% | 9 | 2.12, 7.4, 6.22, 5.45, 13.15 |
region |
region | string | 0% | 9 | Beni Department, Chuquisaca Department, Cochabamba... |
observation_count |
observation_count | integer | 0% | 9 | 4978, 3312, 7656, 5430, 1948 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL, BOL |
society_id |
Society id | string | CCL | 0% | 7 | Se1, Se11, Se7, Sf2, Sf9 |
society_name |
Society name | string | CCL | 0% | 7 | Sirionó, Chácobo, Camba, Aymara, Uru |
language_glottocode |
Language glottocode | string | CCL | 0% | 7 | siri1273, chac1251, chiq1248, cent2142, uruu1244 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 7 | EA001:3; EA002:5; EA003:1; EA004:0; EA005:1, EA001:2;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 7 | EA006:6; EA007:8; EA008:8; EA009:3; EA010:9, EA006:6;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 6 | EA028:3; EA029:6; EA030:2; EA031:1; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 5 | EA033:1; EA034:2; EA035:2, EA033:1; EA034:NA; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:2; EA112:2, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 5 | EA011:3; EA012:9; EA013:9, EA011:1; EA012:10; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Bolivia, Bolivia, Bolivia, Bolivia, Bolivia |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 5 | -16.0, -12.0, -18.0, -16.0, -16.0 |
longitude |
longitude | float | 0% | 5 | -64.0, -67.0, -63.0, -69.0, -69.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | spa, por, eng, que |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Spanish, Portuguese, English, Quechua |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 17602, 36, 6, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 99.7563, 0.204, 0.034, 0.0057 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BOL |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Bolivia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9921 |
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 | 50952 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 39690 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 50948 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 4 |
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_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 32745 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 25688 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2586 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 2327 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1570 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1420 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 6498 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4688 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 6455 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 5090 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 3 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 3 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1077 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 461 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 18 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 13 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL, BOL, BOL, BOL |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | Whites/mestizos, Quechua, Aymara, Guaraní and other... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.41, 0.31, 0.25, 0.03 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 14504000, 14503000, 14505000, 14506000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | true, true, true, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 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. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BOL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| Spanish (spa) | 17,602 | 99.8% | — |
| Portuguese (por) | 36 | 0.2% | — |
39,690 distinct features ·
4 languages ·
0 scripts ·
4 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.