Chingas District Facts

Area41.4 km²
Population1,751
Male Population888 (50.7%)
Female Population863 (49.3%)
Population change (1975 to 2020)-28.4%
Population change (2000 to 2020)-28.9%
Median Age23.8 years (Male: 22, Female: 25.3)
GDP per capita (PPP)$7,231 (2022)
Local Time
TimezonePeru Standard Time
Lat & Lng-9.11967, -76.99126

Map of Chingas District

Interactive Map

Chingas District Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population2,4472,5572,4641,8701,7511,6651,583
Population Density59.1 / km²61.7 / km²59.5 / km²45.1 / km²42.3 / km²40.2 / km²38.2 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Chingas District Population change from 2000 to 2020

Decrease of 28.9% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Chingas District-28.4%-31.5%-28.9%
Ancash Region
Peru
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Chingas District Median Age

Median Age: 23.8 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Chingas District23.8 yrs25.3 yrs22 yrs
Ancash Region25.1 yrs25.7 yrs24.6 yrs
Peru25.1 yrs25.6 yrs24.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Chingas District Population Density

Population Density: 42.3 / km²

LocationPopulationAreaDensity
Chingas District1,75141.4 km²42.3 / km²
Ancash Region1.1 million35,888.1 km²30.8 / km²
Peru31 million1,291,975 km²24 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Chingas 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

Chingas District Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$2,362$2,144$4,435$5,618$7,156$7,991$6,832$7,231
Total GDP$19.2M$17.4M$35.2M$40.7M$45.5M$46.4M$39.3M$40.8M
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

Chingas District CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Chingas District4,207 tn2.4 tn101.5 tons/km²
Ancash Region2,654,629 tn2.4 tn74 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
Chingas District CO2 Emissions
2013 CO2 emissions (tonnes/year)4,207 tn
2013 CO2 emissions (tonnes/year) per capita2.4 tn
2013 CO2 emissions intensity (tonnes/km²/year)101.5 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (8)
EarthquakeMedium (7)
LandslideHigh (8)

* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
  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
8/1/167:32 AM4.754.7 km129,470 m50km S of Uchiza, Peruusgs.gov
8/7/122:02 AM4.889.5 km120,000 mcentral Peruusgs.gov
1/3/108:39 PM5.787.3 km116,800 mcentral Peruusgs.gov
6/5/081:37 PM5.273.5 km126,200 mcentral Peruusgs.gov
6/1/083:17 PM4.395.7 km141,600 mcentral Peruusgs.gov
12/5/0312:59 AM4.466.9 km151,200 mcentral Peruusgs.gov
11/28/024:14 AM4.298.3 km33,000 mcentral Peruusgs.gov
3/17/993:54 AM3.894.5 km150,000 mcentral Peruusgs.gov
10/4/981:41 PM5.598.9 km33,000 mcentral Peruusgs.gov
8/15/975:59 PM4.327.4 km100,000 mcentral Peruusgs.gov

Chingas District

Chingas District is one of six districts of the province Antonio Raymondi in Peru. limits with the districts of Aczo, Llamellin and the Province of Huari. is one of the most productive valleys of the Alley of Conchucos. district was founded on Sep..

Chingas 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.