Postal Code 15536 - Peru
Peru
| Area of Postal Code 15536 | 33.1 km² |
| Population | 1,631 |
| Male Population | 816 (50.0%) |
| Female Population | 815 (50.0%) |
| Population change from 1975 to 2015 | +865.1% |
| Population change from 2000 to 2015 | +39.5% |
| Median Age | 25.4 years |
| Male Median Age | 25.3 years |
| Female Median Age | 25.5 years |
| Timezone | Peru Standard Time |
| Coordinates | -11.938358671553228° / -76.6205933480282° |
| Related Postal Codes | 15500, 15501, 15505, 15510, 15515, 15516, 15530, 15535, 15537, 15555 |
Map of Postal Code 15536 - Peru
Interactive Map
Postal Code 15536 - Peru Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 169 | 265 | 1,169 | 1,631 | 1,662 |
| Population Density | 5.1 / km² | 8 / km² | 35.3 / km² | 49.2 / km² | 50.1 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15536 - Peru Population change from 2000 to 2015
Increase of 39.5% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 15536 - Peru | +865.1% | +515.5% | +39.5% |
| Peru | +104.4% | +42.6% | +20.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15536 - Peru Median Age
Median Age: 25.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 15536 - Peru | 25.4 yrs | 25.5 yrs | 25.3 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 15536 Population Density
Population Density: 49.2 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 15536 | 1,631 | 33.1 km² | 49.2 / 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 15536 - Peru Historical and Projected Population
Estimated Population from 700 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.
Industries
Business Distribution by Industry in Postal Code 15536 - Peru
| Industry Description | Number of Establishments |
|---|---|
| Other membership organizations | 9 |
| Restaurants | 15 |
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 15536 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 15536 | 5,125 tn | 3.14 tn | 154.6 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 15536 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 5,125 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.14 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 154.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | High (10) |
* 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 |
|---|---|---|---|---|---|---|
| 8/5/19 | 12:48 AM | 4.5 | 38 km | 91,860 m | 21km N of Matucana, Peru | usgs.gov |
| 3/22/19 | 5:50 AM | 4.6 | 82.3 km | 44,770 m | 3km SW of Mala, Peru | usgs.gov |
| 5/17/18 | 4:07 AM | 5.2 | 80.9 km | 56,470 m | 7km E of Mala, Peru | usgs.gov |
| 11/24/17 | 8:15 AM | 4.4 | 58.9 km | 90,960 m | 44km SE of Matucana, Peru | usgs.gov |
| 11/23/17 | 11:24 PM | 3.8 | 69.5 km | 51,580 m | 19km NW of Callao, Peru | usgs.gov |
| 10/31/17 | 8:36 PM | 4.2 | 76.5 km | 70,040 m | 18km S of Chancay, Peru | usgs.gov |
| 10/22/17 | 5:09 PM | 4.3 | 78.7 km | 39,690 m | 31km SSW of San Isidro, Peru | usgs.gov |
| 10/14/17 | 12:36 PM | 4.4 | 22.7 km | 10,000 m | 13km S of Matucana, Peru | usgs.gov |
| 9/14/17 | 9:10 PM | 4.3 | 22.3 km | 10,000 m | 5km SSW of Matucana, Peru | usgs.gov |
| 9/14/17 | 1:19 AM | 4.6 | 21.6 km | 10,000 m | 16km SSW of Matucana, Peru | usgs.gov |
Showing 1-10 of 139
…
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.