Categories in Seattle
AircraftAlternative Fuel StationAuto Accessories and SuppliesAuto Air Conditioning ServiceAuto Body Parts SupplierAuto Bodywork MechanicAuto BrokerAuto Dent Removal ServiceAuto Electrical ServiceAuto glassAuto glass repair serviceAuto Machine ShopAuto MarketAutomobile Spare Parts WholesalerAuto paintingAuto Parts MarketAuto Parts StoreAuto Radiator Repair ServiceAuto Restoration ServiceAuto Tune Up ServiceAuto UpholstererAuto Window Tinting ServiceBattery StoreBMW DealerBody, Paint & GlassBody repairBrake ShopCar Accessories StoreCar Battery StoreCar Detailing ServiceCar Inspection StationCar & Light Vehicle DealershipsCar rentalCar repairCar Repair and MaintenanceCar Stereo StoreCar WashCar wash and detailDiesel Engine DealerDiesel Engine Repair ServiceElectric Motor Repair ShopElectric motor vehicle dealerEngine Rebuilding ServiceFord DealerGas StationGMC DealerHonda DealerMechanicMINI dealerMoped Dealer
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Industries
Business Distribution by Industry in Seattle
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Health and medical | 23,432 | 29 years |
| Lawyers legal | 11,019 | 27 years |
| Corporate management | 8,503 | 23 years |
| Restaurants | 7,795 | 25 years |
| Real estate | 7,598 | 26 years |
| Physicians and surgeons | 7,246 | 31 years |
| Shopping | 4,246 | 30 years |
| Electronics stores | 3,513 | 23 years |
| Construction of buildings | 3,339 | 27 years |
| Social work | 2,972 | 29 years |
| Financial services | 2,757 | 32 years |
| Finance other | 2,711 | 62 years |
| Dentists | 2,679 | 31 years |
Seattle Facts
| Area | 86.9 mi² |
| Population | 670,793 |
| Male Population | 334,565 (49.9%) |
| Female Population | 336,228 (50.1%) |
| Population change (1975 to 2020) | +112.9% |
| Population change (2000 to 2020) | +22.8% |
| Median Age | 36.1 years (Male: 35.9, Female: 36.3) |
| GDP per capita (PPP) | $83,204 (2022) |
| Area Codes | 206, 253, 360, 425 |
| Neighborhoods | Downtown, Central Business District, Northeast Seattle, Greater Duwamish, Belltown |
| Local Time | |
| Timezone | Pacific Daylight Time |
| Lat & Lng | 47.60621, -122.33207 |
| Zip Codes | 98101, 98102, 98103, 98104, 98105, More |
Map of Seattle
Interactive Map
Seattle Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 315,096 | 440,288 | 546,264 | 630,606 | 670,793 | 692,436 | 721,077 |
| Population Density | 3,627.1 / mi² | 5,068.2 / mi² | 6,288.1 / mi² | 7,258.9 / mi² | 7,721.5 / mi² | 7,970.7 / mi² | 8,300.4 / mi² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridSeattle Population change from 2000 to 2020
Increase of 22.8% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Seattle | +112.9% | +52.4% | +22.8% |
| Washington (state) | — | — | — |
| United States | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Seattle Median Age
Median Age: 36.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Seattle | 36.1 yrs | 36.3 yrs | 35.9 yrs |
| Washington (state) | 37.9 yrs | 38.9 yrs | 36.9 yrs |
| United States | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Seattle Population Density
Population Density: 7,722 / mi²
| Location | Population | Area | Density |
|---|---|---|---|
| Seattle | 670,793 | 86.87 sq mi | 7,722 / mi² |
| Washington (state) | 7.1 million | 71,298.1 sq mi | 99.7 / mi² |
| United States | 321.6 million | 3,796,740.8 sq mi | 84.7 / mi² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Seattle Historical and Projected Population
Estimated Population from 1890 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 Seattle
Percentage of businesses by neighborhood in Seattle
Zip Codes
Percentage of businesses by Postal Codes in Seattle
Price Distribution
Business distribution by price for Seattle
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
Seattle Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $54,330 | $55,057 | $63,849 | $67,941 | $65,618 | $73,712 | $84,422 | $83,204 |
| Total GDP | $6.4B | $7.2B | $9.2B | $10.3B | $10.5B | $12.5B | $15.2B | $15.2B |
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
Seattle CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Seattle | 10,476,501 tn | 15.62 tn | 120,595.7 tons/mi² |
| Washington (state) | 122,068,941 tn | 17.17 tn | 1,712.1 tons/mi² |
| United States | 5,664,619,810 tn | 17.62 tn | 1,492 tons/mi² |
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
Seattle CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 10,476,501 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 15.62 tn |
| 2013 CO2 emissions intensity (tonnes/mi²/year) | 120,595.7 tons/mi² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | Medium (7) |
| Earthquake | High (7.9) |
| Landslide | Medium (7) |
* 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, 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 |
|---|---|---|---|---|---|---|
| 7/12/19 | 9:53 AM | 3.45 | 36.6 km | 31,010 m | 4km WNW of Monroe, Washington | usgs.gov |
| 7/12/19 | 9:51 AM | 4.58 | 37.9 km | 28,820 m | 3km WNW of Monroe, Washington | usgs.gov |
| 5/11/17 | 5:56 PM | 3.43 | 40.8 km | 23,670 m | 6km SE of Freeland, Washington | usgs.gov |
| 5/11/17 | 7:35 AM | 3.47 | 19.1 km | 24,060 m | 1km ENE of Enetai, Washington | usgs.gov |
| 5/10/17 | 8:14 AM | 3.38 | 19.2 km | 24,500 m | 1km ESE of Enetai, Washington | usgs.gov |
| 5/3/17 | 7:20 PM | 3.31 | 20.5 km | 26,510 m | 1km S of Enetai, Washington | usgs.gov |
| 10/22/16 | 5:17 PM | 3 | 32.1 km | 24,220 m | 3km SSW of Fall City, Washington | usgs.gov |
| 2/3/14 | 8:29 PM | 3.02 | 31.9 km | 23,808 m | 6km W of Federal Way, Washington | usgs.gov |
| 9/5/13 | 7:09 AM | 3.02 | 21.9 km | 26,187 m | 2km N of Indianola, Washington | usgs.gov |
| 9/22/11 | 8:22 PM | 3.2 | 29.1 km | 30,893 m | Seattle-Tacoma urban area, Washington | usgs.gov |
Source: U.S. Geological Survey (USGS)
Seattle
Seattle (/siˈætəl/) is a West Coast seaport city and the seat of King County. With an estimated 662,400 residents as of 2015, Seattle is the largest city in both the state of Washington and the Pacific Northwest region of North America. In July 2013 ..
Seattle 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.