Categories in Keelung

Auto Electrical ServiceAuto Machine ShopAuto paintingAuto Parts MarketAuto Parts StoreAuto Restoration ServiceBody repairCar Accessories StoreCar Battery StoreCar Detailing ServiceCar Inspection StationCar & Light Vehicle DealershipsCar partsCar rentalCar repairCar Repair and MaintenanceCar Stereo StoreCar WashElectric motorcycle dealerGas stationGas StationMotorcycle DealerMotorcycle Parts StoreMotorcycle repairMotorcycle ShopMotor Scooter DealerMotor Scooter Repair ShopNew car dealersOil Change ServiceScooter Repair ShopSelf Service Car WashTire ShopTruck Repair ShopUsed car dealersUsed Motorcycle DealerVehicle wrapping serviceAluminum Frames SupplierAluminum WindowAppliance Parts SupplierBeauty Product SupplierBeverage DistributorBuilding Materials SupplierChemical PlantChemical & Related Products WholesaleCleaning Products SupplierCoffee RoastersCoffee WholesalerComputer WholesalerConstruction Equipment SupplierContact Lenses Supplier
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Industries

Business Distribution by Industry in Keelung

Industry DescriptionNumber of EstablishmentsAverage Age of Business
Restaurants2,93218 years
Shopping1,07117 years
Religion473
All food and beverage458
Unreachable40543 years
Beauty salons358
Car repair351
Breakfast and brunch322
Cafes317
Corporate management31613 years

Keelung Facts

Area53.6 km²
Population515,929
Male Population246,123 (47.7%)
Female Population269,806 (52.3%)
Population change (1975 to 2020)+32.3%
Population change (2000 to 2020)+3.5%
Median Age37.1 years (Male: 36.5, Female: 37.6)
GDP per capita (PPP)$51,255 (2022)
NeighborhoodsNèihú Qū, Dàtóng Qū, Dà'ān Qū, Zhōngshān Qū, 仁愛區
Local Time
TimezoneTaiwan Standard Time
Lat & Lng25.12825, 121.74190
Postal Codes200201202203204More

Map of Keelung

Interactive Map

Keelung Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population390,030473,658498,459500,498515,929509,193508,816
Population Density7,281.8 / km²8,843.1 / km²9,306.1 / km²9,344.2 / km²9,632.3 / km²9,506.5 / km²9,499.5 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Keelung Population change from 2000 to 2020

Increase of 3.5% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Keelung+32.3%+8.9%+3.5%
Taiwan
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Keelung Median Age

Median Age: 37.1 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Keelung37.1 yrs37.6 yrs36.5 yrs
Taiwan36 yrs36.6 yrs35.3 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Keelung Population Density

Population Density: 9,632 / km²

LocationPopulationAreaDensity
Keelung515,92953.6 km²9,632 / km²
Taiwan23.1 million36,283.8 km²636 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Keelung Historical and Projected Population

Estimated Population from 1700 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 Keelung

Percentage of businesses by neighborhood in Keelung

Postal Codes

Percentage of businesses by Postal Codes in Keelung

Price Distribution

Business distribution by price for Keelung

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

Keelung Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$15,644$18,550$24,920$33,043$40,794$40,641$50,543$51,255
Total GDP$5.8B$7.1B$9.9B$13.2B$16.2B$16B$19.6B$19.8B
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

Keelung CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Keelung2,397,488 tn4.65 tn44,760.6 tons/km²
Taiwan134,944,416 tn5.84 tn3,719.1 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
Keelung CO2 Emissions
2013 CO2 emissions (tonnes/year)2,397,488 tn
2013 CO2 emissions (tonnes/year) per capita4.65 tn
2013 CO2 emissions intensity (tonnes/km²/year)44,760.6 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (10)
EarthquakeHigh (10)
CycloneHigh (10)
LandslideHigh (9)

* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
  3. 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.
  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
7/26/196:39 AM4.244 km64,000 m10km E of Yilan, Taiwanusgs.gov
3/12/198:19 PM4.616.5 km137,130 m16km SE of Keelung, Taiwanusgs.gov
2/9/198:12 PM3.527.9 km9,030 m11km NW of Taipei, Taiwanusgs.gov
11/16/182:01 AM4.438.3 km82,430 m7km ENE of Yilan, Taiwanusgs.gov
1/17/185:59 AM4.58.9 km140,300 m8km S of Keelung, Taiwanusgs.gov
6/20/167:53 AM4.427 km109,870 m24km NE of Yilan, Taiwanusgs.gov
2/29/161:36 AM427.4 km110,720 m13km N of Yilan, Taiwanusgs.gov
12/3/151:37 AM441.3 km71,580 m7km E of Yilan, Taiwanusgs.gov
11/11/159:31 PM4.217.2 km133,140 m17km SE of Keelung, Taiwanusgs.gov
10/20/1511:08 PM4.642.6 km4,300 m31km ENE of Yilan, Taiwanusgs.gov

Keelung

Keelung, officially known as Keelung City (Chinese: 基隆市; also Jilong or Chilung), is a major port city situated in the northeastern part of Taiwan. It borders New Taipei with which it forms the Taipei–Keelung metropolitan area, along with Taipei itse..

Keelung Wikipedia Page
Image of Keelung

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.