Date: May 25, 2026
Bolivia is a mid-size country with 0.2% of the world's population. It has 7 world heritage sites. It is rich in resources and has 5.5% Silver, 5.7% Tin, and 4.6% Zinc of the world.
Bolivia is the 78th ranked country in population and 26th ranked in area out of 195 countries in the world. Please keep the country rank in perspective, for the highlights below.
Literacy Rate (%)
Out of 195 countries in the world, Bolivia is the 116th highest ranked in Literacy Rate (%) . This indicates that there is a better educational infrastructure in this country as compared to other countries.
GDP Per Capita (USD)
Military Budget (in Billion $)
Honey prod.
Bolivia is the 75th worst ranked in GDP Per Capita (USD) out of all the 195 countries.This implies that this country is a developing country.
Bolivia is the 106th worst ranked in Military Budget (in Billion $) out of all the 195 countries.This may indicate lesser external security threats for the country.
Bolivia is the 107th worst ranked in Honey prod. out of all the 195 countries.This may indicate inferior natural biodiversity as compared to other countries.
Bolivia is the 108th worst ranked in Formal Jobs out of all the 195 countries.This may indicate that the country is not highly urbanised or indicate that the unemployment rate is high compared to other countries
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Araona | # People | 711 | 1 | 1127 | ||
| 2 | Aymara | # People | 582,323 | 1 | 1129 | ||
| 3 | Baure | # People | 980 | 1 | 1128 | ||
| 4 | Besiro (Chiquitano) | # People | 2,400 | 1 | 1129 | ||
| 5 | Canichana | # People | 899 | 1 | 1127 | ||
| 6 | Cavinena | # People | 600 | 1 | 1126 | ||
| 7 | Cayubaba | # People | 650 | 1 | 1128 | ||
| 8 | Chacobo | # People | 600 | 1 | 1130 | ||
| 9 | Chimane | # People | 5,300 | 1 | 1130 | ||
| 10 | Ese Ejja | # People | 700 | 1 | 1126 | ||
| 11 | Gaurasuwe | # People | 125 | 1 | 1130 | ||
| 12 | Guarayu | # People | 23,910 | 1 | 1127 | ||
| 13 | Araona as a % of total Araona speakers | % People | 0 | 1 | 1127 | ||
| 14 | Aymara as a % of total Aymara speakers | % People | 0 | 1 | 1129 | ||
| 15 | Baure as a % of total Baure speakers | % People | 0 | 1 | 1130 | ||
| 16 | Besiro (Chiquitano) as a % of total Besiro (Chiquitano) speakers | % People | 0 | 1 | 1129 | ||
| 17 | Canichana as a % of total Canichana speakers | % People | 0 | 1 | 1128 | ||
| 18 | Cavinena as a % of total Cavinena speakers | % People | 0 | 1 | 1130 | ||
| 19 | Cayubaba as a % of total Cayubaba speakers | % People | 0 | 1 | 1130 | ||
| 20 | Chacobo as a % of total Chacobo speakers | % People | 0 | 1 | 1130 | ||
| 21 | Chimane as a % of total Chimane speakers | % People | 0 | 1 | 1125 | ||
| 22 | Ese Ejja as a % of total Ese Ejja speakers | % People | 0 | 1 | 1125 | ||
| 23 | Gaurasuwe as a % of total Gaurasuwe speakers | % People | 0 | 1 | 1127 | ||
| 24 | Guarayu as a % of total Guarayu speakers | % People | 0 | 1 | 1130 | ||
| 25 | Itonama as a % of total Itonama speakers | % People | 0 | 1 | 1127 | ||
| 26 | Leco as a % of total Leco speakers | % People | 0 | 1 | 1130 | ||
| 27 | Machineri as a % of total Machineri speakers | % People | 0 | 1 | 1130 | ||
| 28 | Maropa as a % of total Maropa speakers | % People | 0 | 1 | 1128 | ||
| 29 | Mojeno-Trinitario as a % of total Mojeno-Trinitario speakers | % People | 0 | 1 | 1125 | ||
| 30 | Mojeno-Ignaciano as a % of total Mojeno-Ignaciano speakers | % People | 0 | 1 | 1127 | ||
| 31 | Moore as a % of total Moore speakers | % People | 0 | 1 | 1129 | ||
| 32 | Moseten as a % of total Moseten speakers | % People | 0 | 1 | 1125 | ||
| 33 | Movima as a % of total Movima speakers | % People | 0 | 1 | 1127 | ||
| 34 | Pacawara as a % of total Pacawara speakers | % People | 0 | 1 | 1128 | ||
| 35 | Puquina as a % of total Puquina speakers | % People | 0 | 1 | 1127 | ||
| 36 | Siriono as a % of total Siriono speakers | % People | 0 | 1 | 1125 | ||
| 37 | Tacana as a % of total Tacana speakers | % People | 0 | 1 | 1130 | ||
| 38 | Tapiete as a % of total Tapiete speakers | % People | 0 | 1 | 1128 | ||
| 39 | Toromona as a % of total Toromona speakers | % People | 0 | 1 | 1130 | ||
| 40 | Uru Chipaya as a % of total Uru Chipaya speakers | % People | 0 | 1 | 1129 | ||
| 41 | Weenhayek as a % of total Weenhayek speakers | % People | 0 | 1 | 1125 | ||
| 42 | Yaminawa as a % of total Yaminawa speakers | % People | 0 | 1 | 1125 | ||
| 43 | Yuki as a % of total Yuki speakers | % People | 0 | 1 | 1125 | ||
| 44 | Yuracare as a % of total Yuracare speakers | % People | 0 | 1 | 1128 | ||
| 45 | Zamuco as a % of total Zamuco speakers | % People | 0 | 1 | 1129 | ||
| 46 | Quechua | # People | 1,218,571 | 2 | 1128 | ||
| 47 | Guarani as a % of total Guarani speakers | % People | 0 | 2 | 1125 | ||
| 48 | Quechua as a % of total Quechua speakers | % People | 0 | 2 | 1125 | ||
| 49 | Spanish as a % of total Spanish speakers | % People | 0 | 14 | 1129 | ||
|
Below World Average |
|||||||
| 1 | Spanish | # People | 16,324,341 | 14 | 1232 | ||
| 2 | Guarani | # People | 1,036,000 | 3 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Tree density . | Density | 828 | 5 | 1129 | ||
| 2 | Tree density. | Density | 22,685 | 10 | 1125 | ||
| 3 | Forest Area. | Area | 21,595,147 | 14 | 1126 | ||
| 4 | Country forest area / Global Forest area % | 0 | 14 | 1125 | |||
| 5 | Number of Cows | Count | 8,697,624 | 31 | 1126 | ||
| 6 | Cows (% of Total Cows) | Percent | 0 | 31 | 1129 | ||
| 7 | Cow Beef Production (in tonnes) | Weight | 320,761 | 36 | 1129 | ||
| 8 | Cow Beef Production (% of Total Cow Beef Production) | Percent | 0 | 36 | 1125 | ||
| 9 | Number of Trees | Count | 15,642,617,148 | 40 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Silver Produced/Total Silver Produced % | Weight | 9 | 6 | 1234 | ||
| 2 | Zinc Produced/Total Zinc Produced %. | Weight | 9 | 6 | 1235 | ||
| 3 | Tin Produced/Total Tin Produced in 2019 | Weight | 7 | 5 | 1235 | ||
| 4 | Oil Prodcuced/Total Oil Produced % | 5 | 59 | 1235 | |||
| 5 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 37 | 1231 | ||
| 6 | Honey Produced /Total Honey Produced % | Weight | 0 | 84 | 1232 | ||
| 7 | Honey prod. | Tons | 15,393 | 89 | 1232 | ||
| 8 | Cow Milk Production (% of Total Cow Milk Production) | Percent | 0 | 84 | 1233 | ||
| 9 | Cow Milk Production (in tonnes) | Weight | 3,855,383 | 84 | 1230 | ||
| 10 | Apple Production (in tonnes) | Weight | 1,044,287 | 82 | 1232 | ||
| 11 | Sweet Potatoes prod. | Tons | 878,129 | 79 | 1235 | ||
| 12 | Barley prod. | Tons | 1,545,003 | 70 | 1233 | ||
| 13 | Barley Produced/Total Barley Produced.% | Weight | 1 | 70 | 1232 | ||
| 14 | Wheat prod. | Tons | 6,811,171 | 67 | 1232 | ||
| 15 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 67 | 1232 | ||
| 16 | Onion prod. | Tons | 819,042 | 64 | 1234 | ||
| 17 | Onion Produced/Total Onion Produced % | Weight | 0 | 62 | 1231 | ||
| 18 | Oil Prod. | Barrels/day | 855,887 | 62 | 1230 | ||
| 19 | Goat Meat Production (in tonnes) | Weight | 46,111 | 60 | 1230 | ||
| 20 | Goat Meat Production (% of Total Goat Meat Production) | Percent | 0 | 59 | 1231 | ||
| 21 | Cotton Production (% of Total Cotton Production) | Percent | 1 | 51 | 1231 | ||
| 22 | Cotton Production (in 1000 480 lb. Bales) | Weight | 1,707 | 53 | 1230 | ||
| 23 | Goat Milk Production (% of Total Goat Milk Production) | Percent | 0 | 51 | 1230 | ||
| 24 | Goat Milk Production (in tonnes) | Weight | 196,989 | 51 | 1235 | ||
| 25 | Rice Produced/Total Rice Produced.% | Weight | 0 | 45 | 1235 | ||
| 26 | Rice prod. | Tons | 6,920,442 | 45 | 1235 | ||
| 27 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 40 | 1230 | ||
| 28 | Potatoes prod. | Tons | 2,504,846 | 40 | 1233 | ||
| 29 | Natural Gas Prod. | Million cubic meters | 43,738 | 37 | 1235 | ||
| 30 | Chicken Meat Production (in tonnes) | Weight | 588,164 | 37 | 1234 | ||
| 31 | Chicken Meat Production (% of Total Chicken Meat Production) | Percent | 0 | 37 | 1233 | ||
| 32 | Orange Production (in tonnes) | Weight | 618,959 | 32 | 1231 | ||
| 33 | Orange Production (% of Total Orange Production) | Percent | 0 | 32 | 1234 | ||
| 34 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 18 | 1231 | ||
| 35 | Sugarcane prod. | Tons | 20,929,075 | 18 | 1234 | ||
| 36 | Soyabean prod. | Tons | 3,572,369 | 9 | 1230 | ||
| 37 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 9 | 1233 | ||
| 38 | Silver prod. | Tons | 1,980 | 6 | 1231 | ||
| 39 | Tin prod. | Tons | 23,069 | 5 | 1232 | ||
| 40 | Zinc prod. | Tons | 1,007,000 | 6 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | INDs for Leisure (%) | % People | 46 | 12 | 1130 | ||
| 2 | INDs via Delhi Airport (%) | % People | 38 | 16 | 1125 | ||
| 3 | FTAs in India via Kolkata (%) | % People | 2 | 21 | 1126 | ||
| 4 | FTAs in India via Chennai (%) | % People | 5 | 33 | 1126 | ||
| 5 | FTAs in India via Bengaluru (%) | % People | 6 | 43 | 1130 | ||
| 6 | FTAs in India for Leisure (%) | % People | 42 | 51 | 1126 | ||
| 7 | FTAs in India via Delhi (%) | % People | 46 | 63 | 1128 | ||
| 8 | Corporate Tax Rates in % | Rate | 23 | 73 | 1130 | ||
|
Below World Average |
|||||||
| 1 | INDs for Business (%) | % People | 25 | 181 | 1233 | ||
| 2 | INDs via Mumbai Airport (%) | % People | 33 | 181 | 1233 | ||
| 3 | INDs via Chennai Airport (%) | % People | 5 | 143 | 1232 | ||
| 4 | INDs from India | # People | 158,494 | 154 | 1235 | ||
| 5 | INDs via Kolkata Airport (%) | % People | 2 | 96 | 1234 | ||
| 6 | INDs via Bengaluru Airport (%) | % People | 5 | 123 | 1230 | ||
| 7 | FTAs in India | # People | 51,254 | 149 | 1234 | ||
| 8 | FTAs in India via Mumbai (%) | % People | 23 | 132 | 1230 | ||
| 9 | INDs - Indian Diaspora (%) | % People | 22 | 132 | 1231 | ||
| 10 | FTAs in India for Business (%) | % People | 18 | 128 | 1232 | ||
| 11 | INDs via Ahmedabad Airport (%) | % People | 1 | 61 | 1235 | ||
| 12 | FDI / Total FDI of the World %. | 0 | 123 | 1230 | |||
| 13 | GDP Per Capita at PPP (USD) | $ | 30,199 | 122 | 1235 | ||
| 14 | GDP Per Capita (USD) | $ | 18,044 | 121 | 1232 | ||
| 15 | FDI (millions USD) | Amount | 3,288 | 121 | 1230 | ||
| 16 | Exports/Total GDP of the Country %. | 48 | 119 | 1233 | |||
| 17 | FTAs in India for Education (%) | % People | 5 | 82 | 1230 | ||
| 18 | Imports /Total GDP of the Country %. | 51 | 115 | 1233 | |||
| 19 | FTAs in India - Indian Diaspora (%) | % People | 14 | 103 | 1234 | ||
| 20 | INDs via Hyderabad Airport (%) | % People | 3 | 82 | 1231 | ||
| 21 | Imports/Total Imports of the World %. | 0 | 98 | 1231 | |||
| 22 | Import of Goods and Services (in Million $) | Amount | 173,515 | 103 | 1235 | ||
| 23 | Exports /Total Exports of the World %. | 0 | 97 | 1230 | |||
| 24 | Export of Goods and Services (in Million $) | Amount | 180,704 | 98 | 1235 | ||
| 25 | GDP (Billions USD) | $ Billions | 600 | 89 | 1232 | ||
| 26 | Import Ban(Number of products) | Count | 12 | 85 | 1232 | ||
| 27 | GDP as a % of Total GDP | Percent | 0 | 86 | 1235 | ||
| 28 | INDs via Cochin Airport (%) | % People | 3 | 58 | 1235 | ||
| 29 | FTAs in India via Cochin (%) | % People | 3 | 54 | 1234 | ||
| 30 | FTAs in India via Hyderabad (%) | % People | 3 | 44 | 1231 | ||
| 31 | INDs via Calicut Airport (%) | % People | 1 | 31 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Christian Pop./Total Pop.% | % People | 42 | 22 | 1127 | ||
|
Below World Average |
|||||||
| 1 | Islamic Pop./Total Pop.% | % People | 22 | 178 | 1232 | ||
| 2 | Islamic Population | # People | 10,091,996 | 155 | 1232 | ||
| 3 | # Olympic Medals | Count | 146 | 123 | 1232 | ||
| 4 | Jewish Population | # People | 162,421 | 64 | 1235 | ||
| 5 | World Heritage Sites | Count | 7 | 50 | 1233 | ||
| 6 | Christian Pop./Total Christian Pop.% | % People | 0 | 43 | 1230 | ||
| 7 | Christian Population | # People | 16,917,912 | 43 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Total Labour Force/Total Pop. | % People | 43 | 32 | 1125 | ||
| 2 | Employment in Agriculture /Total Pop. %. | % People | 9 | 51 | 1125 | ||
| 3 | Employment in Services /Total pop.%. | % People | 25 | 70 | 1125 | ||
| 4 | Employment in Agri. / Total Labour Force % . | % People | 23 | 74 | 1130 | ||
| 5 | Employment in Agriculture/Total Labour force %. | % People | 23 | 74 | 1125 | ||
|
Below World Average |
|||||||
| 1 | Wage & Salaried Workers / Total Labour Force % | % People | 59 | 136 | 1233 | ||
| 2 | Unemployment Rate. | % People | 6 | 109 | 1230 | ||
| 3 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 104 | 1231 | ||
| 4 | Employment in Services / Total Labour Force %. | % People | 57 | 98 | 1235 | ||
| 5 | Employment in services/Total Labour force %. | % People | 56 | 98 | 1235 | ||
| 6 | Formal Jobs | # People | 10,605,934 | 88 | 1235 | ||
| 7 | Unemployed Labour Force. | # People | 1,511,199 | 71 | 1231 | ||
| 8 | Total Labour Force (2021) | # People | 20,641,663 | 67 | 1235 | ||
| 9 | Employment in Services | # People | 10,251,634 | 65 | 1234 | ||
| 10 | Non-Agricultural Labour Force | # People | 15,067,127 | 64 | 1231 | ||
| 11 | Employment in Agriculture | # People | 5,314,003 | 58 | 1233 | ||
| 12 | Labour Force Participation | # People | 14,659,929 | 49 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Urban Population / Total Population % . | % People | 60 | 70 | 1126 | ||
| 2 | Pop. with access to Electricity (%) | % People | 86 | 113 | 1128 | ||
|
Below World Average |
|||||||
| 1 | Rural Pop. /Total Pop. % | % People | 40 | 126 | 1231 | ||
| 2 | # Cities>1M | # Cities | 1 | 39 | 1233 | ||
| 3 | Rural Pop. | # People | 18,013,759 | 87 | 1234 | ||
| 4 | Urban Population (2021) | # People | 23,603,754 | 72 | 1234 | ||
| 5 | # Cities>100000 | # Cities | 27 | 60 | 1234 | ||
| 6 | # Cities>100000 | # Cities | 21 | 57 | 1234 | ||
| 7 | # Cities>300000 | # Cities | 11 | 49 | 1232 | ||
| 8 | # Cities>500000 | # Cities | 7 | 38 | 1235 | ||
| 9 | # Cities>300000 | # Cities | 7 | 44 | 1230 | ||
| 10 | # Cities>1M | # Cities | 4 | 33 | 1233 | ||
| 11 | # Cities>500000 | # Cities | 4 | 36 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Population Growth Rate (%) | % People | 0 | 71 | 1126 | ||
|
Below World Average |
|||||||
| 1 | Female % of Total Pop. | % People | 50 | 130 | 1234 | ||
| 2 | Male Population | # People | 21,291,067 | 79 | 1235 | ||
| 3 | Total Population | # People | 42,357,833 | 78 | 1232 | ||
| 4 | Female Population | # People | 21,066,765 | 78 | 1233 | ||
| 5 | Total Births | # People | 677,551 | 76 | 1233 | ||
| 6 | Male % of Total Pop. | % People | 50 | 65 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | FB Users / Total Int. Users %. | % People | 34 | 97 | 1130 | ||
| 2 | FB Users / Total Pop. %. | % People | 27 | 99 | 1128 | ||
| 3 | Int. Users / Total Pop.% | % People | 69 | 114 | 1125 | ||
|
Below World Average |
|||||||
| 1 | Facebook CPC in Rs. | Absolute | 5 | 160 | 1234 | ||
| 2 | Instagram Users as a % of Total Internet Users | % People | 36 | 125 | 1232 | ||
| 3 | Instagram Users as a % of Total Population | % People | 29 | 121 | 1233 | ||
| 4 | LinkedIn Users as a % of Total Population | % People | 34 | 105 | 1233 | ||
| 5 | LinkedIn Users as a % of Total Internet Users | % People | 37 | 104 | 1235 | ||
| 6 | X (Twitter) Users as a % of Total Internet Users | % People | 12 | 104 | 1234 | ||
| 7 | X (Twitter) Users as a % of Total Population | % People | 13 | 99 | 1232 | ||
| 8 | Instagram Users as a % of Total Instagram Users | % People | 0 | 75 | 1231 | ||
| 9 | Instagram Users | Absolute | 10,458,072 | 75 | 1231 | ||
| 10 | X (Twitter) Users as a % of Total X (Twitter) Users | % People | 0 | 71 | 1235 | ||
| 11 | X (Twitter) users | # People | 1,789,045 | 72 | 1230 | ||
| 12 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 62 | 1231 | ||
| 13 | Internet Users | # People | 28,543,790 | 65 | 1231 | ||
| 14 | LinkedIn users | # People | 7,145,162 | 62 | 1233 | ||
| 15 | Facebook users | # People | 11,706,915 | 51 | 1234 | ||
| 16 | Facebook Users as a % of Total facebook Users | % People | 0 | 50 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Literacy Rate (%) | % People | 86 | 116 | 1128 | ||
|
Below World Average |
|||||||
| 1 | # Students per teacher in Primary edu. | Ratio | 260 | 115 | 1231 | ||
| 2 | Enrolment in primary edu. | # People | 3,831,465 | 80 | 1233 | ||
| 3 | # Students per teacher in secondary edu. | Ratio | 57 | 61 | 1231 | ||
| 4 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 71 | 1235 | ||
| 5 | Teachers in secondary edu. | # People | 201,153 | 73 | 1235 | ||
| 6 | Total Literate Pop. | # People | 34,678,001 | 69 | 1230 | ||
| 7 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 63 | 1230 | ||
| 8 | Enrolment in secondary edu. | # People | 3,225,437 | 64 | 1231 | ||
| 9 | Teachers in primary edu. | # People | 112,672 | 57 | 1231 | ||
| 10 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 31 | 1235 | ||
| 11 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 21 | 1230 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Life Expectancy at Birth, both sexes | Age | 73 | 134 | 1234 | ||
| 2 | Total No. of Doctors | # People | 78,648 | 81 | 1235 | ||
| 3 | Total No. of Pharmacists | # People | 19,528 | 73 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | # Phone Numbers /Total Pop. % | Percent | 101 | 128 | 1233 | ||
| 2 | # Mobile phone numbers | Count | 40,393,496 | 81 | 1230 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Military Budget/Total World Military Budget %. | Percent | 0 | 84 | 1231 | ||
| 2 | Military Budget (in Billion $) | $ Billion | 17 | 90 | 1234 | ||
| 3 | Military Force/Total Pop. % | % People | 1 | 78 | 1232 | ||
| 4 | Military Force/Total World Military Force %. | % People | 0 | 75 | 1231 | ||
| 5 | Total Military Force | # People | 362,682 | 75 | 1230 | ||
| 6 | Judges Per 100K | People Per 100K | 11 | 40 | 1230 | ||
Mother Tongue : Spanish
Literacy Rate (%) : 92.50
| Country Capital | : | Sucre |
|---|---|---|
| GDP Per Capita | : | 4,525 |
| GDP Per Capita Rank | : | 120th/195 |
| Life Expectancy | : | 69 |
| Unemployment Rate | : | 3 |
| Number of Internet Users | : | 9,034,562 |
| Internet Users Rank | : | 64th/195 |
| Area | : | 1,083,264 |
| Area Rank | : | 26th/195 |
| Total Population | : | 12,582 |
| Total Population Rank | : | 78th/195 |
| Sr. | City | Total City Population (2023) |
|---|---|---|
| 1 | Cochabamba | 959,213 |
| 2 | El Alto | 1,075,865 |
| 3 | La Paz | 930,477 |
| 4 | Montero | 122,239 |
| 5 | Oruro | 345,052 |
| 6 | Potosí | 216,199 |
| 7 | Quillacollo | 134,326 |
| 8 | Sacaba | 193,165 |
| 9 | Santa Cruz | 2,129,608 |
| 10 | Sucre | 295,677 |
| 11 | Tarija | 281,652 |
| 12 | Trinidad | 148,922 |
Q - Does Prarang do surveys to collect data? How does Prarang have such granular
Country-level details which no private or public data source offers?
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sources such as UN Population data, the CIA World Factbook, and private surveys whose results
are accessible through news media and public websites. Our data classification follows a
three-fold method rooted in Indian logic (Tarkashastra): Pramana (evidence-based data
collection) involves gathering data from credible sources; Anumana (estimation and inference)
uses modeling to draw inferences from the collected data; and Upamana (comparison) ranks
countries through relative comparison, calculating the Samana (country average) to determine
whether each country ranks above or below this benchmark. All data sources and estimation
modeling methods are transparently detailed and accessible, with information available for each
data field by clicking the "i" icon.
A - Prarang does not do any surveys. It does data modeling & estimations based on third-party census & surveys, already in the public domain. It also shares the source of the data it uses. Users need to make their own judgment of how and for what purpose and when they use the data that they download from this Prarang website.