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Businesses in Imperial

 

Industries

Business Distribution by Industry in Imperial

Industry DescriptionNumber of Establishments
Restaurants29
Shopping19
Education14
Grocery stores and supermarkets13
Other accommodation9
Car repair8
Hardware store8
Apartments8
Clothing stores6
Dentists6
Gas station6
Bars, pubs and taverns5
Shopping other5

Imperial Facts

Area43.4 km²
Population37,929
Male Population18,802 (49.6%)
Female Population19,127 (50.4%)
Population change (1975 to 2020)+96.3%
Population change (2000 to 2020)+13.1%
Median Age24.5 years (Male: 24.1, Female: 24.9)
NeighborhoodsImperial, Cerro Alegre, San Isidro, San Benito, Carmen Alto
Local Time
TimezonePeru Standard Time
Lat & Lng-13.05927, -76.35269

Map of Imperial

Interactive Map

Imperial Population

Years 1975 to 2020

Data19751990200020152020
Population19,32628,66233,53636,14837,929
Population Density444.9 / km²659.8 / km²772.1 / km²832.2 / km²873.2 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Imperial Population change from 2000 to 2015

Increase of 7.8% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Imperial+87%+26.1%+7.8%
Lima Region+107.4%+42.3%+19.1%
Peru+104.4%+42.6%+20.2%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Imperial Median Age

Median Age: 24.5 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Imperial24.5 yrs24.9 yrs24.1 yrs
Lima Region26.3 yrs26.4 yrs26.1 yrs
Peru25.1 yrs25.6 yrs24.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Imperial Population Density

Population Density: 873 / km²

LocationPopulationAreaDensity
Imperial37,92943.4 km²873 / km²
Lima Region958,64232,501.5 km²29.5 / km²
Peru31 million1,291,975 km²24 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Imperial Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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 in Imperial

Percentage of businesses by neighborhood in Imperial

Area Codes

Percentage Area Codes used by businesses in Imperial

Price Distribution

Business distribution by price for Imperial

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

Imperial CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Imperial121,912 tn3.21 tn2,806.6 tons/km²
Lima Region2,995,387 tn3.12 tn92.2 tons/km²
Peru71,626,946 tn2.31 tn55.4 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
Imperial CO2 Emissions
2013 CO2 emissions (tonnes/year)121,912 tn
2013 CO2 emissions (tonnes/year) per capita3.21 tn
2013 CO2 emissions intensity (tonnes/km²/year)2,806.6 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (8)
EarthquakeHigh (10)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:
  1. 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.
  2. 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.
  3. 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
3/22/1912:50 PM4.653.4 km44,770 m3km SW of Mala, Peruusgs.gov
3/4/1911:03 AM4.455.9 km40,880 m39km WNW of Pisco, Peruusgs.gov
10/7/182:28 AM4.353.9 km50,600 m18km NNW of Pisco, Peruusgs.gov
8/17/187:05 AM3.250.9 km35,000 m26km SW of Mala, Peruusgs.gov
5/17/1811:07 AM5.249.1 km56,470 m7km E of Mala, Peruusgs.gov
6/28/179:48 AM4.253.1 km55,920 m10km SW of Mala, Peruusgs.gov
1/1/172:45 AM4.129.6 km40,440 m23km W of Quilmana, Peruusgs.gov
10/27/1612:31 AM4.543.8 km59,950 m17km SSW of Mala, Peruusgs.gov
10/19/167:31 PM4.757.8 km49,110 m14km NNW of Pisco, Peruusgs.gov
7/29/166:21 PM4.254.1 km61,800 m9km S of Chincha Alta, Peruusgs.gov
Source: U.S. Geological Survey (USGS)
Chincha Alta
Chincha Alta
Pop. 153,07645.5 km
Pisco, Peru
Pisco, Peru
Pop. 61,86973.8 km
Santa María del Mar (Peru)
Santa María del Mar (Peru)
Pop. 26486.1 km

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.