ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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_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_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | BOL |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 98 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 4.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 90 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 4 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 173 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 2.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 7 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 8.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 8.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 97 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.9 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | integer | 0% | 1 | 4 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 95 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | integer | 0% | 1 | 5 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.6 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 120 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 4.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 2 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 94 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 4.95 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 4.3 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 95 |
| +74 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 | 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. 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 |
|---|---|---|---|
| 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.