Bolivia Analytics
LANGUAGES
- Official Language:
- 1. Spanish
: 7,520,000
- 2. Quechua
: 2,800,000
Mother Tongue : Spanish
Literacy Rate (%) : 93
Country Capital | : | Sucre |
---|---|---|
GDP Per capita | : | 11,631 |
GDP Per Capita Rank | : | 119th/195 |
Life Expectancy | : | 68 |
Unemployment Rate | : | 3 |
Number of Internet Users | : | 9,034,562 |
Internet Users Rank | : | 67th/195 |
Area | : | 1,083,264 |
Area Rank | : | 26th/195 |
Total Population | : | 12,582 |
Total Population Rank | : | 78th/195 |
Bolivia Highlights
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.
Better than World Average-
- 1. Bolivia is the 113th highest ranked in Literacy Rate (%) out of 195 countries in the world. This indicates that there is a better educational infrastructure in this country as compared to other countries.
Worse than World Average-
- 1. Bolivia is the 77th worst ranked in GDP Per Capita (USD) out of 195 countries in the world. This implies that this country is a developing country.
- 2. The average Doctors (Per 10,000) of the countries in the world is 20. Bolivia is the 90th worst-ranked country out of 195 countries. This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
- 3. Out of the 195 countries in the world, Bolivia is the 106th worst ranked in Military Budget (in Billion $) . This may indicate lesser external security threats for the country.
Bolivia Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Araona | # People | 3 | 1 | 1127 | ||
2 | Aymara | # People | 11,945 | 1 | 1129 | ||
3 | Baure | # People | 5 | 1 | 1127 | ||
4 | Besiro (Chiquitano) | # People | 12 | 1 | 1130 | ||
5 | Canichana | # People | 4 | 1 | 1127 | ||
6 | Cavinena | # People | 3 | 1 | 1125 | ||
7 | Cayubaba | # People | 3 | 1 | 1129 | ||
8 | Chacobo | # People | 3 | 1 | 1128 | ||
9 | Chimane | # People | 27 | 1 | 1128 | ||
10 | Ese Ejja | # People | 3 | 1 | 1126 | ||
11 | Gaurasuwe | # People | 0 | 1 | 1130 | ||
12 | Guarayu | # People | 122 | 1 | 1126 | ||
13 | Araona as a % of total Araona speakers | % People | 0 | 1 | 1129 | ||
14 | Aymara as a % of total Aymara speakers | % People | 0 | 1 | 1130 | ||
15 | Baure as a % of total Baure speakers | % People | 0 | 1 | 1125 | ||
16 | Besiro (Chiquitano) as a % of total Besiro (Chiquitano) speakers | % People | 0 | 1 | 1125 | ||
17 | Canichana as a % of total Canichana speakers | % People | 0 | 1 | 1127 | ||
18 | Cavinena as a % of total Cavinena speakers | % People | 0 | 1 | 1125 | ||
19 | Cayubaba as a % of total Cayubaba speakers | % People | 0 | 1 | 1128 | ||
20 | Chacobo as a % of total Chacobo speakers | % People | 0 | 1 | 1125 | ||
21 | Chimane as a % of total Chimane speakers | % People | 0 | 1 | 1126 | ||
22 | Ese Ejja as a % of total Ese Ejja speakers | % People | 0 | 1 | 1129 | ||
23 | Gaurasuwe as a % of total Gaurasuwe speakers | % People | 0 | 1 | 1129 | ||
24 | Guarayu as a % of total Guarayu speakers | % People | 0 | 1 | 1129 | ||
25 | Itonama as a % of total Itonama speakers | % People | 0 | 1 | 1125 | ||
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 | 1129 | ||
29 | Mojeno-Trinitario as a % of total Mojeno-Trinitario speakers | % People | 0 | 1 | 1127 | ||
30 | Mojeno-Ignaciano as a % of total Mojeno-Ignaciano speakers | % People | 0 | 1 | 1125 | ||
31 | Moore as a % of total Moore speakers | % People | 0 | 1 | 1127 | ||
32 | Moseten as a % of total Moseten speakers | % People | 0 | 1 | 1127 | ||
33 | Movima as a % of total Movima speakers | % People | 0 | 1 | 1129 | ||
34 | Pacawara as a % of total Pacawara speakers | % People | 0 | 1 | 1125 | ||
35 | Puquina as a % of total Puquina speakers | % People | 0 | 1 | 1129 | ||
36 | Siriono as a % of total Siriono speakers | % People | 0 | 1 | 1125 | ||
37 | Tacana as a % of total Tacana speakers | % People | 0 | 1 | 1128 | ||
38 | Tapiete as a % of total Tapiete speakers | % People | 0 | 1 | 1127 | ||
39 | Toromona as a % of total Toromona speakers | % People | 0 | 1 | 1125 | ||
40 | Uru Chipaya as a % of total Uru Chipaya speakers | % People | 0 | 1 | 1130 | ||
41 | Weenhayek as a % of total Weenhayek speakers | % People | 0 | 1 | 1125 | ||
42 | Yaminawa as a % of total Yaminawa speakers | % People | 0 | 1 | 1129 | ||
43 | Yuki as a % of total Yuki speakers | % People | 0 | 1 | 1129 | ||
44 | Yuracare as a % of total Yuracare speakers | % People | 0 | 1 | 1125 | ||
45 | Zamuco as a % of total Zamuco speakers | % People | 0 | 1 | 1129 | ||
46 | Quechua | # People | 43,743 | 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 | 1129 | ||
49 | Guarani | # People | 15,938 | 3 | 1130 | ||
50 | Spanish | # People | 2,344,008 | 14 | 1128 | ||
51 | Spanish as a % of total Spanish speakers | % People | 0 | 14 | 1126 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Tree density . | Density | 828 | 5 | 1130 | ||
2 | Number of Trees | Count | 15,642,617,148 | 9 | 1127 | ||
3 | Tree density. | Density | 22,685 | 10 | 1128 | ||
4 | Forest Area. | Area | 21,142,892 | 14 | 1128 | ||
5 | Country forest area / Global Forest area % | 0 | 14 | 1130 | |||
Below than World Average- |
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1 | Silver Produced/Total Silver Produced % | Weight | 9 | 6 | 1232 | ||
2 | Zinc Produced/Total Zinc Produced %. | Weight | 9 | 6 | 1231 | ||
3 | Tin Produced/Total Tin Produced in 2019 | Weight | 7 | 5 | 1233 | ||
4 | Honey Produced /Total Honey Produced % | Weight | 0 | 84 | 1234 | ||
5 | Honey prod. | Tons | 16,211 | 89 | 1235 | ||
6 | Sweet Potatoes prod. | Tons | 895,180 | 79 | 1232 | ||
7 | Barley prod. | Tons | 1,576,534 | 70 | 1233 | ||
8 | Barley Produced/Total Barley Produced.% | Weight | 1 | 70 | 1233 | ||
9 | Wheat prod. | Tons | 6,698,590 | 67 | 1233 | ||
10 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 67 | 1233 | ||
11 | Onion prod. | Tons | 773,539 | 64 | 1235 | ||
12 | Onion Produced/Total Onion Produced % | Weight | 0 | 62 | 1233 | ||
13 | Oil Prod. | Barrels/day | 4,369,531 | 62 | 1235 | ||
14 | Oil Prodcuced/Total Oil Produced % | 5 | 59 | 1234 | |||
15 | Rice Produced/Total Rice Produced.% | Weight | 0 | 45 | 1233 | ||
16 | Rice prod. | Tons | 6,981,685 | 45 | 1233 | ||
17 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 40 | 1235 | ||
18 | Potatoes prod. | Tons | 2,538,925 | 40 | 1233 | ||
19 | Natural Gas Prod. | Million cubic meters | 216,389 | 37 | 1232 | ||
20 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 37 | 1235 | ||
21 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 18 | 1233 | ||
22 | Sugarcane prod. | Tons | 52,039,862 | 18 | 1235 | ||
23 | Soyabean prod. | Tons | 3,684,006 | 9 | 1230 | ||
24 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 9 | 1234 | ||
25 | Silver prod. | Tons | 1,980 | 6 | 1233 | ||
26 | Tin prod. | Tons | 23,069 | 5 | 1231 | ||
27 | Zinc prod. | Tons | 1,007,000 | 6 | 1234 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 7 | 1126 | |||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 34 | 1126 | |||
3 | Urban Population / Total Population % . | % People | 60 | 70 | 1128 | ||
4 | Pop. with access to Electricity (%) | % People | 86 | 113 | 1126 | ||
Below than World Average- |
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1 | Rural Pop. /Total Pop. % | % People | 40 | 125 | 1230 | ||
2 | # Cities>1M | # Cities | 1 | 39 | 1233 | ||
3 | Rural Pop. | # People | 18,013,759 | 87 | 1230 | ||
4 | Urban Population | # People | 23,726,053 | 72 | 1234 | ||
5 | # Cities>100000 | # Cities | 23 | 60 | 1230 | ||
6 | # Cities>100000 | # Cities | 21 | 57 | 1235 | ||
7 | # Cities>300000 | # Cities | 8 | 49 | 1232 | ||
8 | # Cities>500000 | # Cities | 5 | 38 | 1235 | ||
9 | # Cities>300000 | # Cities | 7 | 44 | 1231 | ||
10 | # Cities>1M | # Cities | 2 | 33 | 1234 | ||
11 | # Cities>500000 | # Cities | 4 | 36 | 1230 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Pop./Total Pop.% | % People | 42 | 22 | 1130 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 178 | 1234 | ||
2 | Christian Pop./Total Christian Pop.% | % People | 0 | 43 | 1230 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Labour Force/Total Pop. | % People | 43 | 32 | 1127 | ||
2 | Employment in Agriculture /Total Pop. %. | % People | 9 | 51 | 1127 | ||
3 | Employment in Services /Total pop.%. | % People | 25 | 66 | 1125 | ||
4 | Employment in Agri. / Total Labour Force % . | % People | 23 | 74 | 1129 | ||
5 | Employment in Agriculture/Total Labour force %. | % People | 23 | 74 | 1130 | ||
Below than World Average- |
|||||||
1 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 136 | 1232 | ||
2 | Unemployment Rate. | % People | 7 | 109 | 1232 | ||
3 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 102 | 1235 | ||
4 | Employment in Services / Total Labour Force %. | % People | 56 | 98 | 1235 | ||
5 | Employment in services/Total Labour force %. | % People | 56 | 98 | 1232 | ||
6 | Formal Jobs | # People | 10,605,934 | 88 | 1234 | ||
7 | Unemployed Labour Force. | # People | 1,511,199 | 71 | 1233 | ||
8 | Total Labour Force (2023) | # People | 20,409,734 | 67 | 1231 | ||
9 | Employment in Services | # People | 10,251,634 | 65 | 1235 | ||
10 | Non-Agricultural Labour Force | # People | 15,067,127 | 64 | 1232 | ||
11 | Employment in Agriculture | # People | 5,314,003 | 58 | 1230 | ||
12 | Teachers in primary edu. | # People | 357,113 | 57 | 1235 | ||
13 | Labour Force Participation | # People | 14,659,929 | 49 | 1232 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Population Growth Rate (%) | % People | 0 | 70 | 1130 | ||
Below than World Average- |
|||||||
1 | Density ( Pop/Land Area Ratio) | Density | 312 | 181 | 1233 | ||
2 | Female % of Total Pop. | % People | 50 | 130 | 1233 | ||
3 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 131 | 1233 | ||
4 | Male Population (2025) | # People (In Thousands) | 21,226 | 79 | 1230 | ||
5 | Total Population (2025) | # People (In Thousands) | 42,003 | 78 | 1234 | ||
6 | Female Population (2025) | # People (In Thousands) | 20,993 | 78 | 1232 | ||
7 | Births | # People (In Thousands) | 681 | 76 | 1233 | ||
8 | Male % of Total Pop. | % People | 50 | 65 | 1230 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Corporate Tax Rates in % | Rate | 23 | 74 | 1125 | ||
Below than World Average- |
|||||||
1 | FDI / Total FDI of the World %. | 0 | 120 | 1230 | |||
2 | FDI (millions USD) | Amount | 3,115 | 121 | 1232 | ||
3 | Imports /Total GDP of the Country %. | 53 | 120 | 1235 | |||
4 | GDP Per Capita (USD) | $ | 30,070 | 119 | 1231 | ||
5 | Exports/Total GDP of the Country %. | 46 | 115 | 1235 | |||
6 | Imports/Total Imports of the World %. | 0 | 97 | 1235 | |||
7 | Import of Goods and Services (in Million $) | Amount | 183,299 | 102 | 1233 | ||
8 | Exports /Total Exports of the World %. | 0 | 92 | 1234 | |||
9 | Export of Goods and Services (in Million $) | Amount | 186,399 | 98 | 1231 | ||
10 | GDP as a % of Total GDP | Percent | 0 | 91 | 1231 | ||
11 | GDP (Billions USD) | $ Billions | 613 | 91 | 1233 | ||
12 | Import Ban(Number of products) | Count | 12 | 84 | 1235 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | FB Users / Total Int. Users %. | % People | 33 | 97 | 1128 | ||
2 | Int. Users / Total Pop.% | % People | 70 | 114 | 1130 | ||
Below than World Average- |
|||||||
1 | Facebook CPC in Rs. | Absolute | 5 | 160 | 1231 | ||
2 | Twitter Users as a % of Total Internet Users | % People | 15 | 111 | 1235 | ||
3 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 107 | 1231 | ||
4 | LinkedIn Users as a % of Total Population | % People | 30 | 106 | 1233 | ||
5 | Twitter Users as a % of Total Population | % People | 14 | 103 | 1231 | ||
6 | FB Users / Total Pop. %. | % People | 26 | 101 | 1232 | ||
7 | Twitter Users as a % of Total Twitter Users | % People | 0 | 79 | 1230 | ||
8 | Twitter users | # People | 3,179,254 | 79 | 1235 | ||
9 | Internet Users | # People | 28,408,774 | 67 | 1231 | ||
10 | LinkedIn users | # People | 6,064,509 | 63 | 1235 | ||
11 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 63 | 1235 | ||
12 | Facebook users | # People | 7,174,483 | 54 | 1234 | ||
13 | Facebook Users as a % of Total facebook Users | % People | 0 | 54 | 1231 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Literacy Rate (%) | % People | 86 | 113 | 1125 | ||
Below than World Average- |
|||||||
1 | # Students per teacher in Primary edu. | Ratio | 260 | 115 | 1233 | ||
2 | Enrolment in primary edu. | # People | 9,629,078 | 80 | 1230 | ||
3 | Teachers in secondary edu. | # People | 659,923 | 73 | 1234 | ||
4 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 71 | 1234 | ||
5 | Total Literate Pop. | # People | 34,678,001 | 69 | 1235 | ||
6 | Enrolment in secondary edu. | # People | 9,727,510 | 64 | 1233 | ||
7 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 63 | 1235 | ||
8 | # Students per teacher in secondary edu. | Ratio | 57 | 61 | 1234 | ||
9 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 31 | 1235 | ||
10 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 21 | 1232 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,936,734 | 155 | 1233 | ||
2 | # Olympic Medals | Count | 157 | 123 | 1235 | ||
3 | Jewish Population | # People | 78,295 | 64 | 1234 | ||
4 | World Heritage Sites | Count | 7 | 50 | 1230 | ||
5 | Christian Population | # People | 11,885,917 | 43 | 1235 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | Life Expectancy at Birth, both sexes | Age | 73 | 141 | 1232 | ||
2 | Doctors (Per 10,000) | People Per 10,000 | 20 | 106 | 1234 | ||
3 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 88 | 1233 | ||
4 | Total No. of Doctors | # People | 78,648 | 81 | 1234 | ||
5 | Total No. of Pharmacists | # People | 19,528 | 73 | 1232 | ||
6 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 53 | 1235 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | # Phone Numbers /Total Pop. % | Percent | 101 | 128 | 1234 | ||
2 | # Mobile phone numbers | Count | 40,393,496 | 81 | 1231 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | Military Budget/Total World Military Budget %. | Percent | 0 | 84 | 1235 | ||
2 | Military Budget (in Billion $) | $ Billion | 15 | 90 | 1234 | ||
3 | Military Force/Total Pop. % | % People | 1 | 78 | 1230 | ||
4 | Military Force/Total World Military Force %. | % People | 0 | 75 | 1230 | ||
5 | Total Military Force | # People | 358,465 | 75 | 1231 | ||
6 | Judges Per 100K | People Per 100K | 11 | 40 | 1231 |
Bolivia Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Spanish | 59.77 % |
2 | Quechua | 22.25 % |
3 | Aymara | 14.46 % |
4 | Guarani | 0.99 % |
5 | Guarayu | 0.19 % |
6 | Chimane | 0.04 % |
7 | Besiro (Chiquitano) | 0.02 % |
8 | Baure | 0.01 % |
9 | Canichana | 0.01 % |
10 | Araona | 0.01 % |
11 | Ese Ejja | 0.01 % |
12 | Cayubaba | 0.01 % |
List of cities having more than 100K population in Bolivia
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 |
Frequently Asked Questions :
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?
A - Prarang does not conduct surveys to gather data; instead, we rely on publicly available 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.
Q - Does Prarang take responsibility for the absolute data fields that someone buys from it, along with the calculation of the associated ranks?
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.
Q - What is the frequency of data updates on various data fields of Prarang analytics?
A - We are continuously on the lookout for market announcements of new surveys & new data. You can expect important World survey results to be live on our website, within 30 to 45 days after appearing in press/media. We model on spreadsheets & update our SQL databases, after data validation.