11 datasets found
  1. N

    Seattle, WA Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Seattle, WA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Seattle from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/seattle-wa-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Seattle, Washington
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Seattle population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Seattle across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Seattle was 755,078, a 0.79% increase year-by-year from 2022. Previously, in 2022, Seattle population was 749,134, an increase of 2.37% compared to a population of 731,757 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Seattle increased by 190,969. In this period, the peak population was 755,078 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Seattle is shown in this column.
    • Year on Year Change: This column displays the change in Seattle population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Seattle Population by Year. You can refer the same here

  2. M

    Seattle Metro Area Population | Historical Data | 1950-2025

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Seattle Metro Area Population | Historical Data | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/cities/23140/seattle/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1950 - Aug 29, 2025
    Area covered
    Seattle Metropolitan Area, Seattle, United States
    Description

    Historical dataset of population level and growth rate for the Seattle metro area from 1950 to 2025.

  3. U.S. Seattle metro area GDP 2001-2023

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). U.S. Seattle metro area GDP 2001-2023 [Dataset]. https://www.statista.com/statistics/183863/gdp-of-the-seattle-metro-area/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the GDP of the Seatle-Tacoma-Bellevue metro area amounted to ****** billion U.S. dollars, an increase from the previous year. The GDP of the United States since 1990 can be accessed here. Seattle metro area The Seattle metropolitan area in the U.S. state of Washington includes the city of Seattle, King County, Snohomish County, and Pierce County within the Puget Sound region. About **** million people were living in the Seattle metro area, which is more than half of Washington's total population in 2021 (about **** million people). This makes the Seattle metro area the **** largest metropolitan area in the United States, by population. However, Seattle is in fourth place among the 20 largest metro areas in terms of household income, which stood at ****** U.S. dollars in 2019. This is by far more than the average household income in the United States. Household income in Washington is on a similar high level. In 2021, the federal state of Washington was ranked **** in terms of household income among the states of the U.S. The city of Seattle is the largest city in the Pacific Northwest region of North America. It has about ******* residents and is among the ** largest cities in the United States. Seattle has always been an important coastal seaport city and a gateway to Alaska. The importance of the city and metro area is also due to fact that some of the biggest companies worldwide started in Seattle during the 1980s. Companies like Amazon and Microsoft are still based in the Seattle area in the state of Washington.

  4. w

    Washington Cities by Population

    • washington-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Washington Cities by Population [Dataset]. https://www.washington-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions

    Area covered
    Tacoma, Washington
    Description

    A dataset listing Washington cities by population for 2024.

  5. D

    Community Reporting Areas

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    csv, xlsx, xml
    Updated Feb 3, 2025
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    (2025). Community Reporting Areas [Dataset]. https://data.seattle.gov/dataset/Community-Reporting-Areas/h66v-hiux
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description
    Please Note: Community Reporting Areas (CRA) have been updated to follow the 2020 census tract lines which resulted in minor changes to some boundary conditions. They have also been extended into water areas to allow the assignment of CRAs to overwater housing and businesses. To exclude the water polygons from a map choose the filter, water=0.

    Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments.

    The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate. The U.S. Census Bureau census tract geography was chosen as the basis of the CRA geography due to their stability through time and link to widely-used demographic data.

    The following criteria for a CRA geography were defined for this effort:
    • no overlapping areas
    • complete coverage of the city
    • suitable scale to represent neighborhood areas/conditions
    • reasonably stable over time
    • consistent with census geography
    • relatively easy to use in a data context
    • familiar system of common place names
    • respects neighborhood district geography to the extent possible
    The following existing geographies were reviewed during this effort:
    • neighborhood planning areas (DON)
    • neighborhood districts (DON/CNC/Neighborhood District Councils)
    • city sectors/neighborhood plan implementation areas (DON)
    • urban centers/urban villages (DPD)
    • population sub-areas (DPD)
    • Neighborhood Map Atlas (City Clerk)
    • Census tract geography
    • topography
    • various other geographic information sources related to neighborhood areas and common place names
    This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.
  6. Most populated cities in the U.S. - median household income 2022

    • statista.com
    Updated Aug 30, 2024
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    Statista (2024). Most populated cities in the U.S. - median household income 2022 [Dataset]. https://www.statista.com/statistics/205609/median-household-income-in-the-top-20-most-populated-cities-in-the-us/
    Explore at:
    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

    Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

    Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

  7. Urban and Regional Migration Estimates

    • openicpsr.org
    Updated Apr 23, 2024
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    Stephan Whitaker (2024). Urban and Regional Migration Estimates [Dataset]. http://doi.org/10.3886/E201260V2
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    Dataset updated
    Apr 23, 2024
    Dataset provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Authors
    Stephan Whitaker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2010 - Jun 30, 2024
    Area covered
    Metropolitan areas, Metro areas, Combined Statistical Areas, United States
    Description

    Disclaimer: These data are updated by the author and are not an official product of the Federal Reserve Bank of Cleveland.This project provides two sets of migration estimates for the major US metro areas. The first series measures net migration of people to and from the urban neighborhoods of the metro areas. The second series covers all neighborhoods but breaks down net migration to other regions by four region types: (1) high-cost metros, (2) affordable, large metros, (3) midsized metros, and (4) small metros and rural areas. These series were introduced in a Cleveland Fed District Data Brief entitled “Urban and Regional Migration Estimates: Will Your City Recover from the Pandemic?"The migration estimates in this project are created with data from the Federal Reserve Bank of New York/Equifax Consumer Credit Panel (CCP). The CCP is a 5 percent random sample of the credit histories maintained by Equifax. The CCP reports the census block of residence for over 10 million individuals each quarter. Each month, Equifax receives individuals’ addresses, along with reports of debt balances and payments, from creditors (mortgage lenders, credit card issuers, student loan servicers, etc.). An algorithm maintained by Equifax considers all of the addresses reported for an individual and identifies the individual’s most likely current address. Equifax anonymizes the data before they are added to the CCP, removing names, addresses, and Social Security numbers (SSNs). In lieu of mailing addresses, the census block of the address is added to the CCP. Equifax creates a unique, anonymous identifier to enable researchers to build individuals’ panels. The panel nature of the data allows us to observe when someone has migrated and is living in a census block different from the one they lived in at the end of the preceding quarter. For more details about the CCP and its use in measuring migration, see Lee and Van der Klaauw (2010) and DeWaard, Johnson and Whitaker (2019). DefinitionsMetropolitan areaThe metropolitan areas in these data are combined statistical areas. This is the most aggregate definition of metro areas, and it combines Washington DC with Baltimore, San Jose with San Francisco, Akron with Cleveland, etc. Metro areas are combinations of counties that are tightly linked by worker commutes and other economic activity. All counties outside of metropolitan areas are tracked as parts of a rural commuting zone (CZ). CZs are also groups of counties linked by commuting, but CZ definitions cover all counties, both metropolitan and non-metropolitan. High-cost metropolitan areasHigh-cost metro areas are those where the median list price for a house was more than $200 per square foot on average between April 2017 and April 2022. These areas include San Francisco-San Jose, New York, San Diego, Los Angeles, Seattle, Boston, Miami, Sacramento, Denver, Salt Lake City, Portland, and Washington-Baltimore. Other Types of RegionsMetro areas with populations above 2 million and house price averages below $200 per square foot are categorized as affordable, large metros. Metro areas with populations between 500,000 and 2 million are categorized as mid-sized metros, regardless of house prices. All remaining counties are in the small metro and rural category.To obtain a metro area's total net migration, sum the four net migration values for the the four types of regions.Urban neighborhoodCensus tracts are designated as urban if they have a population density above 7,000 people per square mile. High density neighborhoods can support walkable retail districts and high-frequency public transportation. They are more likely to have the “street life” that people associate with living in an urban rather than a suburban area. The threshold of 7,000 people per square mile was selected because it was the average density in the largest US cities in the 1930 census. Before World War II, workplaces, shopping, schools and parks had to be accessible on foot. Tracts are also designated as urban if more than half of their housing units were built before WWII and they have a population density above 2,000 people per square mile. The lower population density threshold for the pre-war neighborhoods recognizes that many urban tracts have lost population since the 1960s. While the street grids usually remain, the area also needs su

  8. g

    AutoVantage, Least Courteous Cities for Drivers, USA, 2007

    • geocommons.com
    Updated May 15, 2008
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    data (2008). AutoVantage, Least Courteous Cities for Drivers, USA, 2007 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 15, 2008
    Dataset provided by
    data
    AutoVantage
    Description

    The second annual In The Drivers Seat Road Rage Survey, commissioned by AutoVantage, a leading national auto club, found that the least courteous city in the country is Miami, followed by New York and Boston. Its the second consecutive year that Miami claimed the top spot. The other two cities with the worst road rage were Los Angeles and Washington, D.C. The most courteous city is Portland, Ore., followed closely by Pittsburgh, Seattle/Tacoma, St. Louis and Dallas/Ft. Worth. The In The Driver's Seat 2007 AutoVantage Road Rage Survey, released today, was conducted to determine the driving habits and attitudes of commuters across the U.S. and to learn more about consumer views on the topic of road rage. ""Road rage has unfortunately too often become a way of life, both on and off the track,"" said NASCAR racing TV personality, radio host, best-selling author and AutoVantage spokesperson Liz Allison. ""More and more, in cities across America, people are acting out their frustrations with dangerous results. It's bad for professional and everyday drivers alike. ""Our Road Rage survey shines the light on emerging driving trends, and there are some very interesting results."" The survey's best and worst cities are: Least Courteous Cities (Worst Road Rage): 2007 2006 1. Miami 1. Miami 2. New York 2. Phoenix 3. Boston 3. New York 4. Los Angeles 4. Los Angeles 5. Washington, D.C 5. Boston Most Courteous Cities (Least Road Rage): 2007 2006 1. Portland, Ore. 1. Minneapolis 2. Pittsburgh 2. Nashville 3. Seattle/Tacoma 3. St. Louis 4. St. Louis 4. Seattle 5. Dallas/Ft. Worth 5. Atlanta Other cities surveyed include Phoenix; Chicago; Sacramento, Calif.; Philadelphia; San Francisco; Houston; Atlanta; Detroit; Minneapolis/St. Paul; Baltimore; Tampa, Fla.; San Diego; Cincinnati; Cleveland and Denver.

  9. d

    Community Reporting Areas

    • catalog.data.gov
    Updated Sep 17, 2021
    + more versions
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    City of Seattle GIS Program (2021). Community Reporting Areas [Dataset]. https://catalog.data.gov/en/dataset/community-reporting-areas
    Explore at:
    Dataset updated
    Sep 17, 2021
    Dataset provided by
    City of Seattle GIS Program
    Description

    Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments. The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate. The following criteria for a CRA geography were defined for this effort: -no overlapping areas; -complete coverage of the city; -suitable scale to represent neighborhood areas/conditions; -reasonably stable over time; -consistent with census geography; -relatively easy to use in a data context; -familiar system of common place names; and, -respects neighborhood district geography. The following existing geographies were reviewed during this effort: -neighborhood planning areas (DON); -neighborhood districts (DON/CNC/Neighborhood District Councils); -city sectors/neighborhood plan implementation areas (DON); -urban centers/urban villages (DPD); -population sub-areas (DPD); -Neighborhood Map Atlas (City Clerk); -Census 2000 geography; -topography; and, -various other geographic information sources related to neighborhood areas and common place names. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

  10. 2014 04: Two Very Different Types of Migrations are Driving Growth in U.S....

    • opendata.mtc.ca.gov
    Updated Apr 23, 2014
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    MTC/ABAG (2014). 2014 04: Two Very Different Types of Migrations are Driving Growth in U.S. Cities [Dataset]. https://opendata.mtc.ca.gov/documents/MTC::2014-04-two-very-different-types-of-migrations-are-driving-growth-in-u-s-cities/about
    Explore at:
    Dataset updated
    Apr 23, 2014
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United States
    Description

    According to figures recently released by the United States Census, America’s largest metro areas are currently gaining population at impressive rates. The growth in these areas is in fact driving much of the population growth across the nation. Upon closer examination of the data, this growth is the result of two very different migrations – one coming from the location choices of Americans themselves, the other shaped by where new immigrants from outside the United States are heading.While many metro areas are attracting a net-inflow of migrants from other parts of the country, in several of the largest metros – New York, Los Angeles., and Miami, especially – there is actually a net outflow of Americans to the rest of the country. Immigration is driving population growth in these places. Sunbelt metros like Houston, Dallas, and Phoenix, and knowledge hubs like Austin, Seattle, San Francisco, and the District of Columbia are gaining much more from domestic migration.This map charts overall or net migration – a combination of domestic and international migration. Most large metros, those with at least a million residents, had more people coming in than leaving. The metros with the highest levels of population growth due to migration are a mix of knowledge-based economies and Sunbelt metros, including Houston, Dallas, Miami, District of Columbia, San Francisco, Seattle, and Austin. Eleven large metros, nearly all in or near the Rustbelt, had a net outflow of migrants, including Chicago, Detroit, Memphis, Philadelphia, and Saint Louis.Source: Atlantic Cities

  11. U.S. cities with the most cloudy days up to 2011

    • statista.com
    Updated Dec 31, 2011
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    Statista (2011). U.S. cities with the most cloudy days up to 2011 [Dataset]. https://www.statista.com/statistics/226760/us-cities-with-the-most-cloudy-days/
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    Dataset updated
    Dec 31, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2011, Buffalo, New York was the major city in the United States with the most partial to heavy cloud cover, with 311 days of clouds in that year. Seattle, Pittsburg, Rochester, and Cleveland rounded out the top five cities.

    Buffalo’s climate

    Buffalo, New York, is located on the eastern end of Lake Erie and is the origin point of the Niagara River, and its location on Lake Erie helps to regulate the city’s climate. However, between 1981 and 2010, it had an average of 167 days with more than 0.01 inches of rainfall per year, and also had an average wind speed of 11.8 miles per hour.

    The second largest city in New York

    Buffalo is the second largest city in New York state, with a metro area population of 1.13 million in 2017. The city is not far from Niagara Falls, which was listed as one of the most expensive summer destinations in the state of New York.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Neilsberg Research (2024). Seattle, WA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Seattle from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/seattle-wa-population-by-year/

Seattle, WA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Seattle from 2000 to 2023 // 2024 Edition

Explore at:
json, csvAvailable download formats
Dataset updated
Jul 30, 2024
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Seattle, Washington
Variables measured
Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
Measurement technique
The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset tabulates the Seattle population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Seattle across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Seattle was 755,078, a 0.79% increase year-by-year from 2022. Previously, in 2022, Seattle population was 749,134, an increase of 2.37% compared to a population of 731,757 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Seattle increased by 190,969. In this period, the peak population was 755,078 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

  • From 2000 to 2023

Variables / Data Columns

  • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
  • Population: The population for the specific year for the Seattle is shown in this column.
  • Year on Year Change: This column displays the change in Seattle population for each year compared to the previous year.
  • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Seattle Population by Year. You can refer the same here

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