Postal Code 20141 - Querecotillo, Piura Region
Piura Region | Peru
| Primary City | Querecotillo |
| Area of Postal Code 20141 | 3.113 km² |
| Population | 17,404 |
| Male Population | 8,798 (50.6%) |
| Female Population | 8,606 (49.4%) |
| Population change from 1975 to 2015 | +12.2% |
| Population change from 2000 to 2015 | -9.3% |
| Median Age | 25.8 years |
| Male Median Age | 26 years |
| Female Median Age | 25.5 years |
| Timezone | Peru Standard Time |
| Coordinates | -4.8400801126823785° / -80.65216979423508° |
| Related Postal Codes | 20100, 20101, 20102, 20103, 20120, 20121, 20130, 20131, 20140, 20150 |
Map of Postal Code 20141 - Querecotillo, Piura Region
Interactive Map
Postal Code 20141 - Querecotillo, Piura Region Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 15,516 | 21,006 | 19,194 | 17,404 | 18,231 |
| Population Density | 4,983.9 / km² | 6,747.4 / km² | 6,165.3 / km² | 5,590.4 / km² | 5,856 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 20141 - Querecotillo, Piura Region Population change from 2000 to 2015
Decrease of 9.3% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 20141 - Querecotillo, Piura Region | +12.2% | -17.1% | -9.3% |
| Piura Region | +94.5% | +33.3% | +13.8% |
| Peru | +104.4% | +42.6% | +20.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 20141 - Querecotillo, Piura Region Median Age
Median Age: 25.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 20141 - Querecotillo, Piura Region | 25.8 yrs | 25.5 yrs | 26 yrs |
| Piura Region | 23.9 yrs | 24.3 yrs | 23.4 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 20141 Population Density
Population Density: 5,590 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 20141 | 17,404 | 3.113 km² | 5,590 / km² |
| Piura Region | 1.8 million | 35,778.7 km² | 51 / 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
Postal Code 20141 - Querecotillo, Piura Region 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
Postal Code 20141 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 20141 | 40,481 tn | 2.33 tn | 13,003 tons/km² |
| Piura Region | 4,244,269 tn | 2.33 tn | 118.6 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
Postal Code 20141 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 40,481 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.33 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 13,003 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | High (8) |
| Earthquake | High (8) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 7/4/19 | 11:21 AM | 4.8 | 72.7 km | 61,730 m | 42km ESE of Papayal, Peru | usgs.gov |
| 10/9/18 | 7:47 PM | 4.4 | 96.7 km | 34,030 m | 28km W of Sechura, Peru | usgs.gov |
| 3/10/18 | 12:55 PM | 4 | 73.6 km | 10,620 m | 29km S of Talara, Peru | usgs.gov |
| 1/23/18 | 5:45 AM | 4.4 | 97.5 km | 45,150 m | 15km NNE of Papayal, Peru | usgs.gov |
| 12/21/17 | 7:57 PM | 4.6 | 61 km | 10,000 m | 18km SE of Catacaos, Peru | usgs.gov |
| 12/6/17 | 6:37 PM | 4.4 | 98.2 km | 68,620 m | 25km W of Celica, Ecuador | usgs.gov |
| 11/18/17 | 3:03 PM | 4 | 76.7 km | 44,980 m | 30km ESE of Papayal, Peru | usgs.gov |
| 11/18/17 | 7:35 PM | 4.4 | 74.5 km | 40,570 m | 13km SE of Papayal, Peru | usgs.gov |
| 10/6/17 | 8:32 AM | 4.5 | 63.7 km | 35,170 m | 10km ESE of La Breita, Peru | usgs.gov |
| 8/11/17 | 1:17 PM | 4.7 | 54.1 km | 42,740 m | 25km SE of Paita, Peru | usgs.gov |
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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.