Industries
Business Distribution by Industry in Santa Rosa
| Industry Description | Number of Establishments |
|---|---|
| Shopping | 8 |
Santa Rosa Facts
| Area | 10270.3 km² |
| Population | 10,249 |
| Male Population | 5,292 (51.6%) |
| Female Population | 4,957 (48.4%) |
| Population change (1975 to 2020) | +50.6% |
| Population change (2000 to 2020) | +11.5% |
| Median Age | 20.5 years (Male: 21.2, Female: 19.9) |
| GDP per capita (PPP) | $5,701 (2022) |
| Local Time | |
| Timezone | Bolivia Time |
| Lat & Lng | -14.16667, -66.88333 |
Map of Santa Rosa
Interactive Map
Santa Rosa Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 6,807 | 8,371 | 9,194 | 9,654 | 10,249 | 10,675 | 11,102 |
| Population Density | 0.7 / km² | 0.8 / km² | 0.9 / km² | 0.9 / km² | 1 / km² | 1 / km² | 1.1 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridSanta Rosa Population change from 2000 to 2020
Increase of 11.5% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Santa Rosa | +50.6% | +22.4% | +11.5% |
| Beni Department | — | — | — |
| Bolivia | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Santa Rosa Median Age
Median Age: 20.5 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Santa Rosa | 20.5 yrs | 19.9 yrs | 21.2 yrs |
| Beni Department | 21.3 yrs | 21.2 yrs | 21.3 yrs |
| Bolivia | 23.9 yrs | 24.4 yrs | 23.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Santa Rosa Population Density
Population Density: 1 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Santa Rosa | 10,249 | 10,270.3 km² | 1 / km² |
| Beni Department | 445,032 | 203,823.5 km² | 2.2 / km² |
| Bolivia | 10.8 million | 1,083,759.7 km² | 9.9 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Santa Rosa Historical and Projected Population
Estimated Population from 200 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Santa Rosa Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $3,405 | $3,236 | $3,805 | $3,945 | $4,236 | $5,228 | $5,288 | $5,701 |
| Total GDP | $27.6M | $27.6M | $33.6M | $36.8M | $40.1M | $52.4M | $55.7M | $60.7M |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Santa Rosa CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Santa Rosa | 14,211 tn | 1.39 tn | 1.4 tons/km² |
| Beni Department | 620,132 tn | 1.39 tn | 3 tons/km² |
| Bolivia | 16,583,283 tn | 1.54 tn | 15.3 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Santa Rosa CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 14,211 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 1.39 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 1.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | Low (3) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 8/25/18 | 1:00 AM | 4.1 | 51.1 km | 15,970 m | 51km ESE of Santa Rosa, Bolivia | usgs.gov |
| 5/6/97 | 7:53 PM | 3.5 | 62.5 km | 650,000 m | Beni, Bolivia | usgs.gov |
| 1/28/96 | 3:58 AM | 3.9 | 84.5 km | 639,900 m | La Paz, Bolivia | usgs.gov |
| 6/23/94 | 10:45 AM | 4.4 | 49 km | 642,700 m | Beni, Bolivia | usgs.gov |
| 6/10/94 | 1:25 AM | 4.3 | 68.2 km | 629,000 m | Beni, Bolivia | usgs.gov |
| 6/9/94 | 5:26 AM | 5.2 | 53.3 km | 630,900 m | Beni, Bolivia | usgs.gov |
| 6/9/94 | 12:33 AM | 8.2 | 80.8 km | 631,300 m | La Paz, Bolivia | usgs.gov |
| 5/18/78 | 4:14 AM | 4.9 | 76.9 km | 33,000 m | Beni, Bolivia | usgs.gov |
Source: U.S. Geological Survey (USGS)
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.

