Categories in Pasig City

AircraftAuto Accessories WholesalerAuto Body Parts SupplierAuto Electrical ServiceAuto MarketAuto paintingAuto Parts MarketAuto Parts StoreAuto Restoration ServiceAuto Tune Up ServiceBattery StoreBody repairBrake ShopCar Accessories StoreCar Battery StoreCar Detailing ServiceCar rentalCar repairCar Repair and MaintenanceCar Stereo StoreCar WashDiesel Engine Repair ServiceElectric Motor Repair ShopElectric Motor StoreElectric motor vehicle dealerGas stationGas StationHonda DealerLPG conversionMechanicMitsubishi DealerMotorcycle DealerMotorcycle Parts StoreMotorcycle repairMotorcycle ShopMotor Scooter DealerMotor Scooter Repair ShopMuffler ShopNew car dealersOil Change ServiceScooter Repair ShopSelf Service Car WashTire repair shopTire ShopTrucks and trailer rentalTrucks and trailersUsed car dealersUsed Tire Shop3D printing serviceAggregate Supplier
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Industries

Business Distribution by Industry in Pasig City

Industry DescriptionNumber of EstablishmentsAverage Age of Business
Restaurants5,24524 years
Shopping4,14528 years
Corporate management2,90625 years
Apartments2,01717 years
Grocery stores and supermarkets1,871
Health and medical1,73142 years
Clothing stores1,31038 years
Public administration1,26662 years
Electronics stores1,11425 years
Cafes992
Travel and transportation973
Real estate96640 years

Pasig City Facts

Area26.8 km²
Population875,958
Male Population428,145 (48.9%)
Female Population447,813 (51.1%)
Population change (1975 to 2020)+584.8%
Population change (2000 to 2020)+64.6%
Median Age25.8 years (Male: 25.3, Female: 26.3)
GDP per capita (PPP)$21,688 (2022)
NeighborhoodsSan Antonio, Ugong, Kapitolyo, Barangay 76, Pasay City District 1
Local Time
TimezonePhilippine Standard Time
Lat & Lng14.58691, 121.06140
Zip Codes16501651165216531654More

Map of Pasig City

Interactive Map

Pasig City Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population127,922354,969532,146763,031875,958951,6341,041,982
Population Density4,782.1 / km²13,269.9 / km²19,893.3 / km²28,524.5 / km²32,746.1 / km²35,575.1 / km²38,952.6 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Pasig City Population change from 2000 to 2020

Increase of 64.6% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Pasig City+584.8%+146.8%+64.6%
Metro Manila
Philippines
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Pasig City Median Age

Median Age: 25.8 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Pasig City25.8 yrs26.3 yrs25.3 yrs
Metro Manila25.4 yrs25.9 yrs24.8 yrs
Philippines23.2 yrs23.6 yrs22.8 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Pasig City Population Density

Population Density: 32,746 / km²

LocationPopulationAreaDensity
Pasig City875,95826.8 km²32,746 / km²
Metro Manila12.6 million631.6 km²20,003 / km²
Philippines96.6 million296,939.4 km²325 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Pasig City 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.

Neighborhoods in Pasig City

Percentage of businesses by neighborhood in Pasig City

Zip Codes

Percentage of businesses by Postal Codes in Pasig City

Price Distribution

Business distribution by price for Pasig City

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

Pasig City Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$7,859$7,683$8,165$9,949$12,462$17,493$19,427$21,688
Total GDP$11.5B$12.6B$13.4B$16.7B$21.8B$31.1B$36.3B$41.1B
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

Pasig City CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Pasig City1,187,513 tn1.36 tn44,393 tons/km²
Metro Manila16,313,424 tn1.29 tn25,830.3 tons/km²
Philippines104,920,564 tn1.09 tn353.3 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
Pasig City CO2 Emissions
2013 CO2 emissions (tonnes/year)1,187,513 tn
2013 CO2 emissions (tonnes/year) per capita1.36 tn
2013 CO2 emissions intensity (tonnes/km²/year)44,393 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtMedium (4)
FloodHigh (10)
EarthquakeHigh (8)
CycloneHigh (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, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
  3. 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.
  4. 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.
  5. 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
6/10/1911:03 PM4.239.8 km185,490 m4km NNE of Naic, Philippinesusgs.gov
4/23/196:02 PM4.760.6 km50,080 m3km S of Lubao, Philippinesusgs.gov
4/22/199:11 AM6.171.5 km21,840 m3km SSW of Floridablanca, Philippinesusgs.gov
3/11/198:11 PM4.261.1 km160,580 m3km SSW of Luksuhin, Philippinesusgs.gov
10/20/183:06 PM4.467.1 km208,950 m4km ENE of Bolboc, Philippinesusgs.gov
8/11/175:28 AM6.273 km172,000 m1km SE of Tuy, Philippinesusgs.gov
6/21/171:18 AM4.362 km10,000 m0km E of San Andres, Philippinesusgs.gov
2/8/178:54 PM4.371.2 km147,350 m3km SW of Payapa, Philippinesusgs.gov
11/10/167:11 AM4.844.8 km59,240 m20km N of Daraitan, Philippinesusgs.gov
2/2/161:04 PM4.273.2 km119,790 m1km ESE of Banaybanay, Philippinesusgs.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.