Categories in Quezon City
ATV DealerAuto Accessories WholesalerAuto Air Conditioning ServiceAuto Body Parts SupplierAuto Bodywork MechanicAuto BrokerAuto Dent Removal ServiceAuto Electrical ServiceAuto glassAuto Machine ShopAuto MarketAuto paintingAuto Parts MarketAuto Parts StoreAuto Radiator Repair ServiceAuto Restoration ServiceAuto Spring ShopAuto Tune Up ServiceAuto UpholstererAuto Window Tinting ServiceBattery StoreBattery WholesalerBike washBMW DealerBody repairBrake ShopCar Accessories StoreCar Battery StoreCar Detailing ServiceCar Inspection StationCar & Light Vehicle DealershipsCar partsCar rentalCar repairCar Repair and MaintenanceCar Security System InstallerCar Stereo StoreCar WashChevrolet DealerConstruction Machine DealerDiesel Engine DealerDiesel Engine Repair ServiceDS Automobiles dealerDump Truck DealerElectric motorcycle dealerElectric Motor Repair ShopElectric Motor StoreElectric motor vehicle dealerEngine Rebuilding ServiceFord Dealer
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Industries
Business Distribution by Industry in Quezon City
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Restaurants | 16,725 | 22 years |
| Shopping | 15,178 | 27 years |
| Corporate management | 8,386 | 27 years |
| Health and medical | 6,431 | 27 years |
| Grocery stores and supermarkets | 5,650 | 15 years |
| Apartments | 4,054 | 24 years |
| Business services | 3,926 | 27 years |
| Public administration | 3,778 | 39 years |
| Electronics stores | 3,416 | 21 years |
| Clothing stores | 3,312 | 27 years |
| All food and beverage | 3,251 | 30 years |
| Travel and transportation | 3,108 | — |
| Cafes | 3,019 | 10 years |
Quezon City Facts
| Area | 137.6 km² |
| Population | 3,170,747 |
| Male Population | 1,552,648 (49.0%) |
| Female Population | 1,618,099 (51.0%) |
| Population change (1975 to 2020) | +314.1% |
| Population change (2000 to 2020) | +27.4% |
| Median Age | 25 years (Male: 24.4, Female: 25.5) |
| GDP per capita (PPP) | $21,688 (2022) |
| Area Codes | 2 |
| Neighborhoods | Diliman, Novaliches, Quezon City District 4, Bagumbayan, Cubao |
| Local Time | |
| Timezone | Philippine Standard Time |
| Lat & Lng | 14.64880, 121.05090 |
| Zip Codes | 1100, 1101, 1103, 1104, 1105, More |
Map of Quezon City
Interactive Map
Quezon City Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 765,781 | 1,836,233 | 2,488,886 | 3,075,105 | 3,170,747 | 3,302,442 | 3,475,698 |
| Population Density | 5,566.8 / km² | 13,348.4 / km² | 18,092.8 / km² | 22,354.2 / km² | 23,049.5 / km² | 24,006.8 / km² | 25,266.3 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridQuezon City Population change from 2000 to 2020
Increase of 27.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Quezon City | +314.1% | +72.7% | +27.4% |
| Metro Manila | — | — | — |
| Philippines | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Quezon City Median Age
Median Age: 25 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Quezon City | 25 yrs | 25.5 yrs | 24.4 yrs |
| Metro Manila | 25.4 yrs | 25.9 yrs | 24.8 yrs |
| Philippines | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Quezon City Population Density
Population Density: 23,050 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Quezon City | 3.2 million | 137.6 km² | 23,050 / km² |
| Metro Manila | 12.6 million | 631.6 km² | 20,003 / km² |
| Philippines | 96.6 million | 296,939.4 km² | 325 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Quezon City Historical and Projected Population
Estimated Population from 1850 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.
Neighborhoods in Quezon City
Percentage of businesses by neighborhood in Quezon City
Zip Codes
Percentage of businesses by Postal Codes in Quezon City
Price Distribution
Business distribution by price for Quezon 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
Quezon City Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $7,859 | $7,683 | $8,165 | $9,949 | $12,462 | $17,493 | $19,427 | $21,688 |
| Total GDP | $8.1B | $9.1B | $10.6B | $14.1B | $19.4B | $29.3B | $35.3B | $40.6B |
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
Quezon City CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Quezon City | 4,429,394 tn | 1.4 tn | 32,199.1 tons/km² |
| Metro Manila | 16,313,424 tn | 1.29 tn | 25,830.3 tons/km² |
| Philippines | 104,920,564 tn | 1.09 tn | 353.3 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
Quezon City CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 4,429,394 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 1.4 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 32,199.1 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (4) |
| Flood | High (10) |
| Earthquake | High (8) |
| Cyclone | High (10) |
| Landslide | Medium (6) |
* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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.
- 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 |
|---|---|---|---|---|---|---|
| 6/10/19 | 11:03 PM | 4.2 | 43.8 km | 185,490 m | 4km NNE of Naic, Philippines | usgs.gov |
| 4/23/19 | 6:02 PM | 4.7 | 55.8 km | 50,080 m | 3km S of Lubao, Philippines | usgs.gov |
| 4/22/19 | 9:11 AM | 6.1 | 66.8 km | 21,840 m | 3km SSW of Floridablanca, Philippines | usgs.gov |
| 3/11/19 | 8:11 PM | 4.2 | 67.2 km | 160,580 m | 3km SSW of Luksuhin, Philippines | usgs.gov |
| 10/20/18 | 3:06 PM | 4.4 | 73 km | 208,950 m | 4km ENE of Bolboc, Philippines | usgs.gov |
| 6/21/17 | 1:18 AM | 4.3 | 68.9 km | 10,000 m | 0km E of San Andres, Philippines | usgs.gov |
| 11/10/16 | 7:11 AM | 4.8 | 42.9 km | 59,240 m | 20km N of Daraitan, Philippines | usgs.gov |
| 12/15/15 | 12:12 AM | 4.1 | 56.9 km | 10,720 m | 1km SSW of San Juan, Philippines | usgs.gov |
| 8/24/15 | 6:06 PM | 4.5 | 44 km | 35,000 m | 1km S of Binan, Philippines | usgs.gov |
| 10/2/14 | 4:13 PM | 4.7 | 63.2 km | 203,560 m | 3km WSW of Arayat, Philippines | usgs.gov |
Source: U.S. Geological Survey (USGS)
Quezon City
Quezon City (/ˈkeɪzɒn/ KAY-zon; Filipino: Lungsod Quezon Tagalog pronunciation: [ˈkeːson]), also known to Filipinos by its initials as QC) is the most populous city in the Philippines. It is one of the cities that make up Metro Manila, the National C..
Quezon City 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.