Chingas District Facts
| Area | 41.4 km² |
| Population | 1,860 |
| Male Population | 943 (50.7%) |
| Female Population | 917 (49.3%) |
| Population change (1975 to 2020) | -24.0% |
| Population change (2000 to 2020) | -24.5% |
| Median Age | 23.8 years (Male: 22, Female: 25.3) |
| Local Time | |
| Timezone | Peru Standard Time |
| Lat & Lng | -9.11967, -76.99126 |
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Chingas District Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 2,447 | 2,557 | 2,464 | 1,870 | 1,860 |
| Population Density | 59.1 / km² | 61.7 / km² | 59.5 / km² | 45.1 / km² | 44.9 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Chingas District Population change from 2000 to 2015
Decrease of 24.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Chingas District | -23.6% | -26.9% | -24.1% |
| Ancash Region | +55% | +15.8% | +4.5% |
| Peru | +104.4% | +42.6% | +20.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Chingas District Median Age
Median Age: 23.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Chingas District | 23.8 yrs | 25.3 yrs | 22 yrs |
| Ancash Region | 25.1 yrs | 25.7 yrs | 24.6 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Chingas District Population Density
Population Density: 44.9 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Chingas District | 1,860 | 41.4 km² | 44.9 / km² |
| Ancash Region | 1.1 million | 35,888.1 km² | 30.8 / 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
Chingas District Historical and Projected Population
Estimated Population from 0 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
Chingas District CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Chingas District | 4,469 tn | 2.4 tn | 107.9 tons/km² |
| Ancash Region | 2,654,629 tn | 2.4 tn | 74 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
Chingas District CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 4,469 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.4 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 107.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | Medium (7) |
| Landslide | High (8) |
* 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 |
|---|---|---|---|---|---|---|
| 8/1/16 | 7:32 AM | 4.7 | 54.7 km | 129,470 m | 50km S of Uchiza, Peru | usgs.gov |
| 8/7/12 | 2:02 AM | 4.8 | 89.5 km | 120,000 m | central Peru | usgs.gov |
| 1/3/10 | 8:39 PM | 5.7 | 87.3 km | 116,800 m | central Peru | usgs.gov |
| 6/5/08 | 1:37 PM | 5.2 | 73.5 km | 126,200 m | central Peru | usgs.gov |
| 6/1/08 | 3:17 PM | 4.3 | 95.7 km | 141,600 m | central Peru | usgs.gov |
| 12/5/03 | 12:59 AM | 4.4 | 66.9 km | 151,200 m | central Peru | usgs.gov |
| 11/28/02 | 4:14 AM | 4.2 | 98.3 km | 33,000 m | central Peru | usgs.gov |
| 3/17/99 | 3:54 AM | 3.8 | 94.5 km | 150,000 m | central Peru | usgs.gov |
| 10/4/98 | 1:41 PM | 5.5 | 98.9 km | 33,000 m | central Peru | usgs.gov |
| 8/15/97 | 5:59 PM | 4.3 | 27.4 km | 100,000 m | central Peru | usgs.gov |
Source: U.S. Geological Survey (USGS)
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
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