Industries
Business Distribution by Industry in Tabalosos
| Industry Description | Number of Establishments |
|---|---|
| Education | 8 |
Tabalosos Facts
| Area | 296.1 km² |
| Population | 13,939 |
| Male Population | 7,215 (51.8%) |
| Female Population | 6,724 (48.2%) |
| Population change (1975 to 2020) | +87.4% |
| Population change (2000 to 2020) | +13.0% |
| Median Age | 22.5 years (Male: 22.7, Female: 22.3) |
| Local Time | |
| Timezone | Peru Standard Time |
| Lat & Lng | -6.35000, -76.68333 |
| Postal Codes | 22121 |
Map of Tabalosos
Interactive Map
Tabalosos Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 7,437 | 10,723 | 12,330 | 13,509 | 13,939 |
| Population Density | 25.1 / km² | 36.2 / km² | 41.6 / km² | 45.6 / km² | 47.1 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Tabalosos Population change from 2000 to 2015
Increase of 9.6% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Tabalosos | +81.6% | +26% | +9.6% |
| San Martín Region | +143% | +62.7% | +31.8% |
| Peru | +104.4% | +42.6% | +20.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Tabalosos Median Age
Median Age: 22.5 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Tabalosos | 22.5 yrs | 22.3 yrs | 22.7 yrs |
| San Martín Region | 22.1 yrs | 21.6 yrs | 22.5 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Tabalosos Population Density
Population Density: 47.1 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Tabalosos | 13,939 | 296.1 km² | 47.1 / km² |
| San Martín Region | 966,284 | 71,509.6 km² | 13.5 / km² |
| Peru | 31 million | 1,291,975 km² | 24 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Tabalosos Historical and Projected Population
Estimated Population from 1910 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
Tabalosos CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Tabalosos | 29,999 tn | 2.15 tn | 101.3 tons/km² |
| San Martín Region | 2,048,793 tn | 2.12 tn | 28.7 tons/km² |
| Peru | 71,626,946 tn | 2.31 tn | 55.4 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
Tabalosos CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 29,999 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.15 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 101.3 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | Medium (6) |
| Landslide | Medium (6) |
* 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, and Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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 |
|---|---|---|---|---|---|---|
| 7/19/17 | 10:05 AM | 4.3 | 38.2 km | 64,330 m | 7km NE of Jepelacio, Peru | usgs.gov |
| 9/15/16 | 6:42 AM | 4.5 | 5.5 km | 19,740 m | 5km W of Tabalosos, Peru | usgs.gov |
| 7/21/16 | 10:08 PM | 4.2 | 68.1 km | 128,910 m | 21km NNE of Rioja, Peru | usgs.gov |
| 7/16/16 | 1:15 PM | 4.2 | 68.4 km | 57,150 m | 33km S of Yurimaguas, Peru | usgs.gov |
| 2/11/16 | 10:25 PM | 4.4 | 24.3 km | 54,800 m | 23km E of Jepelacio, Peru | usgs.gov |
| 1/25/16 | 8:28 AM | 4.7 | 32.1 km | 29,490 m | 24km ENE of Jepelacio, Peru | usgs.gov |
| 1/7/16 | 2:55 PM | 4.5 | 55.2 km | 10,000 m | 20km NW of Saposoa, Peru | usgs.gov |
| 1/4/15 | 10:09 PM | 4.4 | 67.2 km | 69,890 m | 16km NNE of Chazuta, Peru | usgs.gov |
| 9/18/14 | 4:19 AM | 4 | 76 km | 103,610 m | 21km S of Yurimaguas, Peru | usgs.gov |
| 8/23/14 | 6:15 PM | 4.6 | 50.8 km | 59,990 m | 47km W of Yurimaguas, Peru | 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.