Postal Code 15012 - Lima, Lima Province
Lima Province | Peru
| Primary City | Lima |
| Area of Postal Code 15012 | 5.9 km² |
| Population | 132,999 |
| Male Population | 65,028 (48.9%) |
| Female Population | 67,971 (51.1%) |
| Population change from 1975 to 2015 | +492.8% |
| Population change from 2000 to 2015 | +65.9% |
| Median Age | 26.4 years |
| Male Median Age | 25.9 years |
| Female Median Age | 26.8 years |
| Area Codes | 1 |
| Neighborhoods | Ate, Covima, La Molina, Las Acacias, Mayorazgo, Portales De Javier Prado 1 Etapa, Santa Felicia, Santa Raquel, Santa Raquel 2 Etapa |
| Timezone | Peru Standard Time |
| Coordinates | -12.057154757502829° / -76.94839784460068° |
| Related Postal Codes | 15000, 15001, 15003, 15004, 15006, 15007, 15008, 15011, 15018, 15019 |
Map of Postal Code 15012 - Lima, Lima Province
Interactive Map
Postal Code 15012 - Lima, Lima Province Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 22,437 | 51,394 | 80,192 | 132,999 | 139,916 |
| Population Density | 3,775.3 / km² | 8,647.7 / km² | 13,493.3 / km² | 22,378.7 / km² | 23,542.5 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15012 - Lima, Lima Province Population change from 2000 to 2015
Increase of 65.9% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 15012 - Lima, Lima Province | +492.8% | +158.8% | +65.9% |
| Lima | +150.4% | +62.2% | +30.1% |
| Lima Province | +144.8% | +59.8% | +28.8% |
| Peru | +104.4% | +42.6% | +20.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15012 - Lima, Lima Province Median Age
Median Age: 26.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 15012 - Lima, Lima Province | 26.4 yrs | 26.8 yrs | 25.9 yrs |
| Lima | 27.8 yrs | 28.4 yrs | 27.2 yrs |
| Lima Province | 27.7 yrs | 28.2 yrs | 27.1 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 15012 Population Density
Population Density: 22,379 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 15012 | 132,999 | 5.9 km² | 22,379 / km² |
| Lima | 9.8 million | 2,695.3 km² | 3,641 / km² |
| Lima Province | 10.8 million | 34,986.5 km² | 309 / 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 15012 - Lima, Lima Province Historical and Projected Population
Estimated Population from 1930 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.
Neighborhoods
Business Distribution by neighborhood in Postal Code 15012 - Lima, Lima Province
Area Codes
Percentage Area Codes used by businesses in Postal Code 15012 - Lima, Lima Province
Industries
Business Distribution by Industry in Postal Code 15012 - Lima, Lima Province
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Beauty salons | 91 | — |
| Car parts | 93 | — |
| Car repair | 145 | — |
| Clothing stores | 93 | — |
| Construction of buildings | 78 | — |
| Corporate management | 251 | — |
| Education | 117 | — |
| Grocery stores and supermarkets | 96 | — |
| Hardware store | 78 | — |
| Pharmacies and drug stores | 77 | — |
| Public parks | 75 | — |
| Restaurants | 304 | — |
| Shopping | 234 | 41.9 years |
| Wholesale of machinery | 75 | 39.7 years |
Business distribution by price for Postal Code 15012 - Lima, Lima Province
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 15012 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 15012 | 451,718 tn | 3.4 tn | 76,007.1 tons/km² |
| Lima | 31,261,199 tn | 3.19 tn | 11,598.6 tons/km² |
| Lima Province | 33,938,970 tn | 3.14 tn | 970.1 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 15012 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 451,718 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.4 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 76,007.1 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 | 72.6 km | 91,860 m | 21km N of Matucana, Peru | usgs.gov |
| 5/27/19 | 8:14 PM | 4.6 | 73 km | 35,000 m | 52km WSW of Callao, Peru | usgs.gov |
| 3/22/19 | 5:50 AM | 4.6 | 75.9 km | 44,770 m | 3km SW of Mala, Peru | usgs.gov |
| 8/17/18 | 12:05 AM | 3.2 | 89.8 km | 35,000 m | 26km SW of Mala, Peru | usgs.gov |
| 5/17/18 | 4:07 AM | 5.2 | 79.3 km | 56,470 m | 7km E of Mala, Peru | usgs.gov |
| 11/24/17 | 8:15 AM | 4.4 | 90.7 km | 90,960 m | 44km SE of Matucana, Peru | usgs.gov |
| 11/23/17 | 11:24 PM | 3.8 | 37 km | 51,580 m | 19km NW of Callao, Peru | usgs.gov |
| 10/31/17 | 8:36 PM | 4.2 | 51.7 km | 70,040 m | 18km S of Chancay, Peru | usgs.gov |
| 10/22/17 | 5:09 PM | 4.3 | 43.4 km | 39,690 m | 31km SSW of San Isidro, Peru | usgs.gov |
| 10/14/17 | 12:36 PM | 4.4 | 59 km | 10,000 m | 13km S of Matucana, Peru | usgs.gov |
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Source: U.S. Geological Survey (USGS)
Primary City
Lima /ˈliːmə/ is the capital and the largest city of Peru. It is located in the valleys of the Chillón, Rímac and Lurín rivers, in the central coastal part of the country, overlooking the Pacific Ocean. Together with the seaport of Callao, it forms a..
Lima Wikipedia Page
About Our Data
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