Industries

Business Distribution by Industry in Pimentel

Pimentel Facts

Area44.9 km²
Population18,656
Male Population9,120 (48.9%)
Female Population9,536 (51.1%)
Population change (1975 to 2020)+479.6%
Population change (2000 to 2020)+72.2%
Median Age24.2 years (Male: 23.1, Female: 25.3)
GDP per capita (PPP)$5,575 (2022)
NeighborhoodsUrb. La Pradera
Local Time
TimezonePeru Standard Time
Lat & Lng-6.83667, -79.93417

Map of Pimentel

Interactive Map

Pimentel Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population3,2197,16110,83117,01018,65619,55520,882
Population Density71.7 / km²159.6 / km²241.4 / km²379.1 / km²415.7 / km²435.8 / km²465.3 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Pimentel Population change from 2000 to 2020

Increase of 72.2% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Pimentel+479.6%+160.5%+72.2%
Lambayeque Region
Peru
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Pimentel Median Age

Median Age: 24.2 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Pimentel24.2 yrs25.3 yrs23.1 yrs
Lambayeque Region25.1 yrs25.9 yrs24.3 yrs
Peru25.1 yrs25.6 yrs24.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Pimentel Population Density

Population Density: 416 / km²

LocationPopulationAreaDensity
Pimentel18,65644.9 km²416 / km²
Lambayeque Region1.2 million14,244.2 km²85.2 / km²
Peru31 million1,291,975 km²24 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Pimentel Historical and Projected Population

Estimated Population from 1890 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.

Area Codes

Percentage Area Codes used by businesses in Pimentel

Price Distribution

Business distribution by price for Pimentel

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

Pimentel Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$5,446$5,333$4,486$3,896$4,846$4,556$4,763$5,575
Total GDP$37.3M$44.8M$46.4M$46.4M$62.8M$61.5M$70.7M$84.3M
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x

Pimentel CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Pimentel46,289 tn2.48 tn1,031.5 tons/km²
Lambayeque Region2,922,559 tn2.41 tn205.2 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
Pimentel CO2 Emissions
2013 CO2 emissions (tonnes/year)46,289 tn
2013 CO2 emissions (tonnes/year) per capita2.48 tn
2013 CO2 emissions intensity (tonnes/km²/year)1,031.5 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtLow (2)
FloodMedium (4)
EarthquakeHigh (9.2)

* 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, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
  3. 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.
  4. 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

DateTimeMagnitudeDistanceDepthLocationLink
3/7/194:05 AM4.994.6 km41,060 m37km NNE of Chongoyape, Peruusgs.gov
2/9/193:20 AM4.292.6 km35,000 m92km WSW of Pimentel, Peruusgs.gov
10/10/183:48 AM4.577.3 km43,900 m49km WNW of Morrope, Peruusgs.gov
10/2/1810:40 AM4.693.4 km29,140 m80km W of Morrope, Peruusgs.gov
5/25/182:25 PM4.579 km32,960 m66km W of Morrope, Peruusgs.gov
5/25/182:21 PM4.296.8 km35,000 m74km WNW of Morrope, Peruusgs.gov
11/17/1712:33 AM4.678.7 km35,000 m78km WSW of Pimentel, Peruusgs.gov
2/16/1710:36 AM4.890.7 km39,130 m90km WSW of Pimentel, Peruusgs.gov
11/9/168:01 PM4.689 km10,000 m72km W of Morrope, Peruusgs.gov
10/16/161:04 PM528.5 km40,740 m28km SW of Pimentel, Peruusgs.gov

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.