In 2023, the population of the Portland-Vancouver-Hillsboro metropolitan area in the United States was about 2.5 million people. This is a slight decrease from the previous year.

Chart and table of population level and growth rate for the Portland metro area from 1950 to 2025.

Graph and download economic data for Employed Persons in Portland-Vancouver-Hillsboro, OR-WA (MSA) (LAUMT413890000000005) from Jan 1990 to May 2025 about Portland, OR, WA, household survey, employment, persons, and USA.

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In 2023, the metropolitan area of New York-Newark-Jersey City had the biggest population in the United States. Based on annual estimates from the census, the metropolitan area had around 19.5 million inhabitants, which was a slight decrease from the previous year. The Los Angeles and Chicago metro areas rounded out the top three. What is a metropolitan statistical area? In general, a metropolitan statistical area (MSA) is a core urbanized area with a population of at least 50,000 inhabitants – the smallest MSA is Carson City, with an estimated population of nearly 56,000. The urban area is made bigger by adjacent communities that are socially and economically linked to the center. MSAs are particularly helpful in tracking demographic change over time in large communities and allow officials to see where the largest pockets of inhabitants are in the country. How many MSAs are in the United States? There were 421 metropolitan statistical areas across the U.S. as of July 2021. The largest city in each MSA is designated the principal city and will be the first name in the title. An additional two cities can be added to the title, and these will be listed in population order based on the most recent census. So, in the example of New York-Newark-Jersey City, New York has the highest population, while Jersey City has the lowest. The U.S. Census Bureau conducts an official population count every ten years, and the new count is expected to be announced by the end of 2030.

Graph and download economic data for Civilian Labor Force in Portland-Vancouver-Hillsboro, OR-WA (MSA) (LAUMT413890000000006A) from 1990 to 2024 about Portland, OR, WA, civilian, labor force, labor, household survey, and USA.

Graph and download economic data for Unemployed Persons in Portland-Vancouver-Hillsboro, OR-WA (MSA) (LAUMT413890000000004) from Jan 1990 to May 2025 about Portland, OR, WA, household survey, unemployment, persons, and USA.

A dataset listing Oregon cities by population for 2024.

U.S. Census Bureau QuickFacts statistics for Portland city, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Graph and download economic data for Unemployment Rate in Portland-Vancouver-Hillsboro, OR-WA (MSA) (LAUMT413890000000003A) from 1990 to 2024 about Portland, OR, WA, household survey, unemployment, rate, and USA.

Federal highway and transit statutes require, as a condition for spending federal highway or transit funds in urbanized areas, the designation of MPOs, which have responsibility for planning, programming and coordination of federal highway and transit investments. The federally designated MPOs are made up of large urban MPOs (population areas greater than 200,000): the Portland regional area, the Salem/Keizer area, and the Eugene/Springfield area; and small urban MPOs (population areas between 50,000 - 200,000): the Medford/Rogue Valley area, the Cities of Corvallis/Philomath, the City of Bend, Albany area, Middle Rogue, Longview/Kelso/Rainier and Walla Walla Valley.

This data set contains the U.S. Census Bureau's year 2010 block group boundaries for the Portland-Vancouver-Hillsboro, OR-WA Metropolitan Statistical Area (MSA). Includes population (POP), dwelling units (DU), race and Hispanic attributes. Source: Census redistricting data [P.L. 94-171] summary files.

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

The sample geographic areas for VMT are based on the 'Census Defined Urban Areas' and change every 10 years, as the census data changes. These 'Census Defined Urban Areas' differ from the city boundaries. It is important to note that there is a time lag between when the census data was collected and the implementation of the new 'Census Defined Urban Area or Boundary'. In the above graph, the implementation of the 1990 Census boundary does not appear until 1993 for Portland, OR only (noted by the uptick in the curve in 1993). The use of the new 2000 Census Boundary did not occur until 2004, for Portland, OR only; note a similar increase upward in the graph in 2004. However, the data shown above for 2010 is based on the 2010 Census population and the updated Defined Urban Area or Boundary. The 2011-18 figures likewise use the updated 2010 Census information and were adjusted for population changes in 2011-18.

2009-2018 Data Sources: The data for Portland, OR was received from the ODOT, Oregon Highway Performance Monitoring System (HPMS) office in Salem, Oregon. The information for Vancouver, WA was received from the Washington State DOT, HPMS office in Olympia, Washington. These data were the official state's submittals to the Federal Highway Administration's (FHWA) Office in Washington, D.C. The 2010-2013 data are based on the 2010 Census and updates.

1990-2008 Urban Areas & National Average Data Sources: The data is from information published by the U.S. Federal Highway Administration (FHWA) in Washington, D.C. The DVMT/ Person can be located in the FHWA's publication 'Highway Statistics'; 4.4.5 Urbanized Area Summaries, Section 4.4.5.2, Selected Characteristics, Table HM-72. The website for the 'Highway Statistics' series is located at: http://www.fhwa.dot.gov/policyinformation/statistics.cfm The 2008 data is located at: http://www.fhwa.dot.gov/policyinformation/statistics/2008/hm72.cfm The 2008 and earlier National Average of DVMT/ Person, are calculated by dividing the 'Total DVMT' for all Federal-Aid Urban Areas, by total 'Estimated Population' as it appears on Sheet 9 of Table HM-72, which lists all the Federal-Aid Urbanized Areas in the U.S.

2009-2018 Urban Areas & National Average Data Sources: Figures were not published for 2009 by the FHWA. 2010 urban area data was published in Table HM-71, at: http://www.fhwa.dot.gov/policyinformation/statistics/2010/hm71.cfm However; the data was based on the year 2000 population, it was not adjusted for 2010, and not useful in calculations. The FHWA did publish Table HM-71 in February 2013, with updated 2011 urban area data, located: http://www.fhwa.dot.gov/policyinformation/statistics/2011/hm71.cfm The population and travel agree with information received from Oregon's and Washington's HPMS offices. In order to show a continuous graph line for 2009-10, the 2008 National DVMT/person information was averaged with the 2011 data. The 2011 national figure is the average for all 498 urbanized areas listed in the Table HM-71. 2012 urban area data was published in Table HM-71, at: http://www.fhwa.dot.gov/policyinformation/statistics/2012/hm71.cfm However, since the data was based on the year 2000 population (i.e., identical issue with FHWA 2010 data), it was not in included in these DVMT calculations. 2013 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2013/hm72.cfm 2014 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2014/hm72.cfm 2015 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2015/hm72.cfm 2016 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2016/hm72.cfm 2017 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2017/hm72.cfm 2018 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2018/hm72.cfm

"A Federal-Aid Urbanized Area is an area with 50,000 or more persons that, at a minimum, encompasses the land area delineated as the urbanized area by the Bureau of the Census." (from Sheet 8, in Table HM-71, as noted above). Portland-Vancouver, OR-WA is a Federal-Aid Urbanized Area (UZA-27). The geographic area for each component (the Oregon and Washington portions of the Portland-Vancouver data set) are uniquely defined by the FHWA.

The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. It will replace the decennial long form in future censuses and is a critical element in the Bureau of the Census reengineered 2010 census. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory. The scope of the 1996 ACS was limited to housing units, occupied and vacant, in four sites: (1) Brevard County, Florida, a single county MSA, (2) Rockland County, New York, NY Primary Metropolitan Statistical Area (PMSA), (3) Multnomah County, Oregon, and the city of Portland, Oregon, a large nonmetropolitan county that is part of multiple county PMSA (includes the entire city of Portland which is located primarily in Multnomah County but also extends into Washington and Clackamas Counties), (4) Fulton County, Pennsylvania, a nonmetropolitan county that does not have a countywide address system at this time, and does not plan to convert to a countywide address system at the time of the survey.

This data set contains the U.S. Census Bureau's year 2010 block group boundaries for the Portland-Vancouver-Hillsboro, OR-WA Metropolitan Statistical Area (MSA). Includes population (POP), dwelling units (DU), race and Hispanic attributes. Source: Census redistricting data [P.L. 94-171] summary files.

The American Community Survey is a monthly household survey. The survey, as part of the Continuous Measurement System, is a new approach for collecting accurate, timely information needed for critical government functions. The American Community Survey provides estimates of housing, social, and economic characteristics every year for all states, as well as for all cities, counties, metropolitan areas, and population groups of 65,000 persons or more. The 1997 American Community Survey CD-ROM c ontains the following: 1997 Summary Tables: The 1997 ACS Summary Tables are the same as those produced for 1996. The tables provide data for areas of 65,000 or more, with the exception of Douglas County, Nebraska, which was sampled at a higher rate. These tables include data for housing units, occupied and vacant, in six sites: Rockland County (New York), Brevard County (Florida), and Multnomah County (Oregon), and the city of Portland (Oregon), Franklin County (Ohio), and Fort Bend and Harris Counties (Texas). 1996-1997 Combined Summary Tables. 1996-1997 Percent Change Tables: The 1996-1997 ACS Percent Change Tables are a subset of the Summary Tables and provide data for counties and places with a population size of 250,000 or more. The 1997 boundaries were used for both the 1996 and 1997 data. These tables include data for housing units, occupied and vacant, in three sites: Rockland County (New York), Brevard County (Florida), and Multnomah County (Oregon) and the city of Portland (Oregon). Additionally, the CD contains: Documentation and Tutorials Orientation Tour of the ACS CD Hands-On Guided Tour Other New Tutorials Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

A dataset listing Maine cities by population for 2024.

PARD’s Long Range Plan for Land, Facilities and Programs, Our Parks, Our Future (adopted November 2019) compared Austin’s park system to five peer cities: Atlanta, GA, Dallas, TX, Portland, OR, San Antonio, TX, and San Diego, CA. The peer cities were selected based on characteristics such as population, size, density, and governance type. Portland and San Diego were selected as aspirational cities known for their park systems.

Note that the table below presents each scoring area’s 1 to 100 index, where 100 is the highest possible score.

Graph and download economic data for Employed Persons in Portland-South Portland, ME (NECTA) (LAUMT237675000000005) from Jan 1990 to Dec 2024 about Portland, ME, household survey, personal, employment, and USA.