Postal Code 16251 - Peru
Peru
| Area of Postal Code 16251 | 2.773 km² |
| Population | 445 |
| Population change from 1975 to 2015 | +501.4% |
| Population change from 2000 to 2015 | +86.2% |
| Timezone | Peru Standard Time |
| Coordinates | -4.357376453118119° / -70.0402732508837° |
| Related Postal Codes | 16201, 16210, 16211, 16220, 16221, 16230, 16231, 16240, 16241, 16250 |
Map of Postal Code 16251 - Peru
Interactive Map
Postal Code 16251 - Peru Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 74 | 157 | 239 | 445 | 458 |
| Population Density | 26.7 / km² | 56.6 / km² | 86.2 / km² | 160.5 / km² | 165.2 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 16251 - Peru Population change from 2000 to 2015
Increase of 86.2% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 16251 - Peru | +501.4% | +183.4% | +86.2% |
| Peru | +104.4% | +42.6% | +20.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 16251 Population Density
Population Density: 161 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 16251 | 445 | 2.773 km² | 161 / 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 16251 - Peru Historical and Projected Population
Estimated Population from 1900 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 16251 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 16251 | 1,116 tn | 2.51 tn | 402.4 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 16251 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 1,116 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.51 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 402.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (4) |
| Earthquake | Low (2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
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.