Categories in Makati
Auto Accessories WholesalerAuto Air Conditioning ServiceAuto Body Parts SupplierAuto Electrical ServiceAuto 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 WashDS Automobiles dealerElectric Motor StoreFord DealerGas stationGas StationHonda DealerLPG conversionMechanicMitsubishi DealerMotorcycle DealerMotorcycle Parts StoreMotorcycle repairMotorcycle ShopMotor Scooter DealerMotor Scooter Repair ShopMuffler ShopNew car dealersNissan DealerOil Change ServiceTire ShopToyota DealerUsed car dealersUsed Tire ShopWheel Alignment ServiceWheel StoreAgricultural wholesaleAlcoholic Beverage WholesalerAlcohol ManufacturerAluminum SupplierAudio Visual Equipment SupplierBeauty Product Supplier
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Industries
Business Distribution by Industry in Makati
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Corporate management | 5,366 | 30 years |
| Restaurants | 4,972 | 27 years |
| Shopping | 3,444 | 37 years |
| Lawyers legal | 2,009 | 36 years |
| Real estate | 1,700 | 25 years |
| Electronics stores | 1,680 | 29 years |
| Health and medical | 1,581 | 24 years |
| Business services | 1,356 | 24 years |
| Banks | 1,266 | 57 years |
| Public administration | 1,055 | 46 years |
| All food and beverage | 890 | 36 years |
| Apartments | 852 | 22 years |
Makati Facts
| Area | 18.8 km² |
| Population | 405,638 |
| Male Population | 190,974 (47.1%) |
| Female Population | 214,664 (52.9%) |
| Population change (1975 to 2020) | +3.3% |
| Population change (2000 to 2020) | -29.7% |
| Median Age | 27.7 years (Male: 27, Female: 28.3) |
| GDP per capita (PPP) | $27,392 (2022) |
| Neighborhoods | San Lorenzo, Bel-Air, Poblacion, Makati City, Legazpi Village |
| Local Time | |
| Timezone | Philippine Standard Time |
| Lat & Lng | 14.55027, 121.03269 |
| Zip Codes | 1229 |
Map of Makati
Interactive Map
Makati Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 392,782 | 583,008 | 577,227 | 450,612 | 405,638 | 376,606 | 357,921 |
| Population Density | 20,878.8 / km² | 30,990.5 / km² | 30,683.2 / km² | 23,952.8 / km² | 21,562.2 / km² | 20,018.9 / km² | 19,025.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridMakati Population change from 2000 to 2020
Decrease of 29.7% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Makati | +3.3% | -30.4% | -29.7% |
| Metro Manila | — | — | — |
| Philippines | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Makati Median Age
Median Age: 27.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Makati | 27.7 yrs | 28.3 yrs | 27 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)
Makati Population Density
Population Density: 21,562 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Makati | 405,638 | 18.8 km² | 21,562 / 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
Makati Historical and Projected Population
Estimated Population from 1700 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 Makati
Percentage of businesses by neighborhood in Makati
Zip Codes
Percentage of businesses by Postal Codes in Makati
Price Distribution
Business distribution by price for Makati
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
Makati Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $8,089 | $8,892 | $9,708 | $11,299 | $14,087 | $19,081 | $24,481 | $27,392 |
| Total GDP | $15.2B | $17.8B | $18.5B | $21B | $26.2B | $34.9B | $46B | $51.7B |
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
Makati CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Makati | 484,152 tn | 1.19 tn | 25,735.6 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
Makati CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 484,152 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 1.19 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 25,735.6 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) |
* 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, 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 | 34.9 km | 185,490 m | 4km NNE of Naic, Philippines | usgs.gov |
| 4/23/19 | 6:02 PM | 4.7 | 60.7 km | 50,080 m | 3km S of Lubao, Philippines | usgs.gov |
| 3/11/19 | 8:11 PM | 4.2 | 56.3 km | 160,580 m | 3km SSW of Luksuhin, Philippines | usgs.gov |
| 10/20/18 | 3:06 PM | 4.4 | 62.2 km | 208,950 m | 4km ENE of Bolboc, Philippines | usgs.gov |
| 10/22/17 | 2:21 PM | 5.4 | 69.3 km | 209,390 m | 0km NNW of Putol, Philippines | usgs.gov |
| 8/11/17 | 5:28 AM | 6.2 | 68 km | 172,000 m | 1km SE of Tuy, Philippines | usgs.gov |
| 6/21/17 | 1:18 AM | 4.3 | 59.1 km | 10,000 m | 0km E of San Andres, Philippines | usgs.gov |
| 2/8/17 | 8:54 PM | 4.3 | 66.5 km | 147,350 m | 3km SW of Payapa, Philippines | usgs.gov |
| 11/10/16 | 7:11 AM | 4.8 | 49.5 km | 59,240 m | 20km N of Daraitan, Philippines | usgs.gov |
| 2/2/16 | 1:04 PM | 4.2 | 69.5 km | 119,790 m | 1km ESE of Banaybanay, Philippines | usgs.gov |
Source: U.S. Geological Survey (USGS)
Makati
Makati (/məˈkɑːti/ mə-KAH-tee Tagalog pronunciation: [maˈkati]), officially the City of Makati (Filipino: Lungsod ng Makati), in the Philippines, is one of the sixteen cities that make up Metro Manila. Makati is located within the circle of 14′40″ °n..
Makati 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.