Industries

Business Distribution by Industry in Portovelo

Industry DescriptionNumber of Establishments
Car repair5

Portovelo Facts

Area34.3 km²
Population11,252
Male Population5,815 (51.7%)
Female Population5,437 (48.3%)
Population change (1975 to 2020)+99.8%
Population change (2000 to 2020)+23.3%
Median Age26.9 years (Male: 27, Female: 26.9)
GDP per capita (PPP)$7,763 (2022)
Area Codes7
Local Time
TimezoneEcuador Time
Lat & Lng-3.72145, -79.62187
Postal Codes071150071151071152071153

Map of Portovelo

Interactive Map

Portovelo Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population5,6317,7479,12710,85511,25211,52911,728
Population Density164.1 / km²225.8 / km²266 / km²316.4 / km²327.9 / km²336 / km²341.8 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Portovelo Population change from 2000 to 2020

Increase of 23.3% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Portovelo+99.8%+45.2%+23.3%
El Oro Province
Ecuador
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Portovelo Median Age

Median Age: 26.9 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Portovelo26.9 yrs26.9 yrs27 yrs
El Oro Province25.7 yrs25.8 yrs25.6 yrs
Ecuador25.1 yrs25.6 yrs24.5 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Portovelo Population Density

Population Density: 328 / km²

LocationPopulationAreaDensity
Portovelo11,25234.3 km²328 / km²
El Oro Province652,4805,811.1 km²112 / km²
Ecuador15.8 million256,053.3 km²61.9 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Portovelo Historical and Projected Population

Estimated Population from 1820 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.

Price Distribution

Business distribution by price for Portovelo

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

Portovelo Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$7,597$8,465$6,077$7,541$6,100$8,298$7,356$7,763
Total GDP$145.6M$173.3M$130.1M$171.2M$147.3M$210.2M$196M$208.8M
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

Portovelo CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Portovelo35,133 tn3.12 tn1,023.9 tons/km²
El Oro Province2,022,007 tn3.1 tn348 tons/km²
Ecuador43,886,500 tn2.77 tn171.4 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
Portovelo CO2 Emissions
2013 CO2 emissions (tonnes/year)35,133 tn
2013 CO2 emissions (tonnes/year) per capita3.12 tn
2013 CO2 emissions intensity (tonnes/km²/year)1,023.9 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtLow (2)
FloodHigh (9)
EarthquakeMedium (7)

* 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
4/29/193:15 AM4.182.4 km71,190 m35km SSE of Tumbes, Peruusgs.gov
10/29/1812:20 PM4.577.7 km58,160 m19km SE of Tumbes, Peruusgs.gov
3/3/187:09 PM4.398.4 km4,270 m12km NE of Balao, Ecuadorusgs.gov
2/27/183:40 AM4.793.6 km10,000 m5km NE of Balao, Ecuadorusgs.gov
12/7/172:37 AM4.473.9 km68,620 m25km W of Celica, Ecuadorusgs.gov
11/18/174:23 AM5.584.1 km35,000 m13km ESE of Balao, Ecuadorusgs.gov
6/25/173:03 AM4.393.7 km77,890 m12km SW of Macara, Ecuadorusgs.gov
6/8/174:27 AM4.599.2 km57,260 m31km E of Papayal, Peruusgs.gov
6/5/1711:34 AM5.690.5 km49,000 m41km E of Papayal, Peruusgs.gov
12/12/1611:12 AM3.899.5 km36,690 m16km NE of Balao, Ecuadorusgs.gov

Portovelo

Portovelo Curipamba is a town in the El Oro Province of Ecuador.

Portovelo Wikipedia Page

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.