Industries

Business Distribution by Industry in Chupa District

Industry DescriptionNumber of Establishments
Shopping6

Chupa District Facts

Area153.8 km²
Population12,719
Male Population6,334 (49.8%)
Female Population6,385 (50.2%)
Population change (1975 to 2020)-12.3%
Population change (2000 to 2020)-17.3%
Median Age26.4 years (Male: 26.4, Female: 26.4)
GDP per capita (PPP)$3,882 (2022)
Local Time
TimezonePeru Standard Time
Lat & Lng-15.10000, -69.98333
Postal Codes2132021321

Map of Chupa District

Interactive Map

Chupa District Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population14,50016,03115,38512,68312,71912,41112,127
Population Density94.3 / km²104.2 / km²100 / km²82.5 / km²82.7 / km²80.7 / km²78.8 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Chupa District Population change from 2000 to 2020

Decrease of 17.3% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Chupa District-12.3%-20.7%-17.3%
Puno Region
Peru
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Chupa District Median Age

Median Age: 26.4 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Chupa District26.4 yrs26.4 yrs26.4 yrs
Puno Region24.4 yrs24.9 yrs23.8 yrs
Peru25.1 yrs25.6 yrs24.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Chupa District Population Density

Population Density: 82.7 / km²

LocationPopulationAreaDensity
Chupa District12,719153.8 km²82.7 / km²
Puno Region1.4 million71,762.4 km²19.4 / km²
Peru31 million1,291,975 km²24 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Chupa District Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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

Chupa District Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$2,813$3,282$3,658$3,569$3,248$3,780$3,348$3,882
Total GDP$40.1M$46.9M$51.3M$46.5M$38.1M$42.2M$38.9M$45.5M
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

Chupa District CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Chupa District26,674 tn2.1 tn173.4 tons/km²
Puno Region2,932,416 tn2.1 tn40.9 tons/km²
Peru71,626,946 tn2.31 tn55.4 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
Chupa District CO2 Emissions
2013 CO2 emissions (tonnes/year)26,674 tn
2013 CO2 emissions (tonnes/year) per capita2.1 tn
2013 CO2 emissions intensity (tonnes/km²/year)173.4 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtLow (2.7)
FloodHigh (10)
EarthquakeMedium (6.2)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:
  1. 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.
  2. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
  3. 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.
  4. 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

DateTimeMagnitudeDistanceDepthLocationLink
7/10/192:07 AM4.361.1 km235,990 m7km NE of Atuncolla, Peruusgs.gov
3/1/198:50 AM746.6 km267,000 m23km NNE of Azangaro, Peruusgs.gov
2/7/195:24 PM4.470.4 km238,580 m10km NW of Taquile, Peruusgs.gov
9/13/1812:03 PM4.555.1 km217,410 m8km SSW of Juliaca, Peruusgs.gov
8/17/186:39 PM4.659.1 km218,440 m14km SW of Juliaca, Peruusgs.gov
11/21/1710:44 PM4.356.7 km221,430 m9km SSW of Lampa, Peruusgs.gov
9/9/1710:44 AM4.237.4 km224,810 m15km E of Lampa, Peruusgs.gov
8/29/172:09 AM4.355 km207,970 m11km SSE of Lampa, Peruusgs.gov
2/27/175:41 PM4.153.6 km224,060 m12km W of Juliaca, Peruusgs.gov
2/1/1710:35 AM4.668.1 km216,220 m18km WNW of Atuncolla, Peruusgs.gov

Chupa District

Chupa District is one of fifteen districts of the province Azángaro in Peru.

Chupa District Wikipedia Page

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.