Industries
Business Distribution by Industry in Las Lomas
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 24 |
| Shopping | 10 |
Las Lomas Facts
| Area | 415.9 km² |
| Population | 30,707 |
| Male Population | 16,103 (52.4%) |
| Female Population | 14,604 (47.6%) |
| Population change (1975 to 2020) | +44.2% |
| Population change (2000 to 2020) | +9.0% |
| Median Age | 22.6 years (Male: 23, Female: 22.1) |
| GDP per capita (PPP) | $10,436 (2022) |
| Local Time | |
| Timezone | Peru Standard Time |
| Lat & Lng | -4.65333, -80.24667 |
| Postal Codes | 20211 |
Map of Las Lomas
Interactive Map
Las Lomas Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 21,290 | 26,922 | 28,160 | 26,470 | 30,707 | 32,764 | 34,757 |
| Population Density | 51.2 / km² | 64.7 / km² | 67.7 / km² | 63.6 / km² | 73.8 / km² | 78.8 / km² | 83.6 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridLas Lomas Population change from 2000 to 2020
Increase of 9% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Las Lomas | +44.2% | +14.1% | +9% |
| Piura Region | — | — | — |
| Peru | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Las Lomas Median Age
Median Age: 22.6 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Las Lomas | 22.6 yrs | 22.1 yrs | 23 yrs |
| Piura Region | 23.8 yrs | 24.3 yrs | 23.4 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Las Lomas Population Density
Population Density: 73.8 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Las Lomas | 30,707 | 415.9 km² | 73.8 / km² |
| Piura Region | 1.8 million | 35,778.7 km² | 51 / 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
Las Lomas Historical and Projected Population
Estimated Population from 0 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.
Area Codes
Percentage Area Codes used by businesses in Las Lomas
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
Las Lomas Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $5,173 | $5,389 | $5,342 | $6,263 | $9,068 | $12,348 | $9,339 | $10,436 |
| Total GDP | $75.2M | $82.4M | $84.3M | $96M | $131M | $179.5M | $150.4M | $172.4M |
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
Las Lomas CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Las Lomas | 71,485 tn | 2.33 tn | 171.9 tons/km² |
| Piura Region | 4,244,269 tn | 2.33 tn | 118.6 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
Las Lomas CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 71,485 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.33 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 171.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | High (8) |
| Earthquake | High (7.8) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- 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.
- 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.
- 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.
- 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 |
|---|---|---|---|---|---|---|
| 7/4/19 | 6:21 PM | 4.8 | 48.3 km | 61,730 m | 42km ESE of Papayal, Peru | usgs.gov |
| 12/7/17 | 2:37 AM | 4.4 | 62.6 km | 68,620 m | 25km W of Celica, Ecuador | usgs.gov |
| 11/19/17 | 3:35 AM | 4.4 | 70.3 km | 40,570 m | 13km SE of Papayal, Peru | usgs.gov |
| 11/18/17 | 11:03 PM | 4 | 59.1 km | 44,980 m | 30km ESE of Papayal, Peru | usgs.gov |
| 10/6/17 | 3:32 PM | 4.5 | 73.2 km | 35,170 m | 10km ESE of La Breita, Peru | usgs.gov |
| 6/25/17 | 3:03 AM | 4.3 | 32 km | 77,890 m | 12km SW of Macara, Ecuador | usgs.gov |
| 6/8/17 | 4:27 AM | 4.5 | 70.2 km | 57,260 m | 31km E of Papayal, Peru | usgs.gov |
| 6/6/17 | 8:34 PM | 4 | 75.9 km | 95,450 m | 8km SSE of Papayal, Peru | usgs.gov |
| 6/5/17 | 11:34 AM | 5.6 | 65.5 km | 49,000 m | 41km E of Papayal, Peru | usgs.gov |
| 5/21/17 | 10:14 AM | 4.8 | 42.4 km | 86,670 m | 17km WSW of Ayabaca, Peru | usgs.gov |
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.