In 2023, the population of the Austin-Round Rock-Georgetown metropolitan area in the United States was about 2.47 million people. This was a slight increase from the previous year, when the population was about 2.42 million people.

Chart and table of population level and growth rate for the Austin metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

Graph and download economic data for Employed Persons in Austin-Round Rock, TX (MSA) (LAUMT481242000000005A) from 1990 to 2023 about Austin, household survey, TX, employment, persons, and USA.

These are the data used for the Racial and Ethnic Diversity for the Austin MSA story map. The story map was published July 2024 but displays data from 2000, 2010, and 2020.

Decennial census data were used for all three years. 2000: DEC Summary File 1, P004 2010: DEC Redistricting Data (PL 94-171), P2 2020: DEC Redistricting Data (PL 94-171), P2

Geographic crosswalks were used to harmonize 2000, 2010, and 2020 geographies.

Racial and Ethnic Diversity Index for the Austin MSA Storymap: https://storymaps.arcgis.com/stories/88ee265f00934af7a750b57f7faebd2c

City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

This statistics shows the top 20 fastest growing large-metropolitan areas in the United States between July 1st, 2022 and July 1st, 2023. The total population in the Wilmington, North Carolina, metropolitan area increased by 0.05 percent from 2022 to 2023.

To determine displacement risk, researchers at the University of Texas conducted a three-part analysis: the presence of vulnerable populations, residential market appreciation, and demographic change. To determine vulnerable populations, the authors used indicators to identify residents who, according to academic research, are least able to absorb housing costs, which includes: communities of color, low-income households, heads of households without a bachelor's degree or higher, families with children in poverty, and renters. In 2019 and 2020, the City of Austin Housing and Planning staff updated the data and simplified the categories below. Vulnerable: Vulnerable populations present, no significant demographic change, some tracts are near or contain high-value and high-appreciation areas. Active Displacement Risk: Vulnerable populations present, active demographic change, accelerating or appreciating housing market. Chronic Displacement Risk: Vulnerable populations have been displaced, demographic change has occurred and the housing market is high value and appreciated or appreciating. Historic Displacement: Tracts previously identified as at-risk to displacement in earlier Uprooted models (2016, 2019)

This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. Austin's share of regional households whose income is less than 60% of Median Family Income and the change since 2016​. Austin's share of regional households whose income is less than 60% of Median Family Income and the change in that share since 2016. This metric helps us to understand where low income households live in the Austin area since some lower income households may be forced to move from the city to the outskirts in order to seek more affordable housing opportunities. The data source for this measure is the U.S. Census Bureau's American Community Survey 1-Year Estimates, table S1901. The percentage of all Austin MSA households whose income is less than 60% median family income (MFI) within the City of Austin was calculated by dividing the number of households whose income is less than 60% MFI in Austin by the number of households whose income is less than 60% MFI in the Austin MSA.

This is Census 2020 Tracts joined with the 2020 Decennial Census P.L. 94-171 File for the five county Austin MSA. Data include Total Population, Race & Ethnicity, Housing Units, and Population over 18. For a full list of population variable descriptions, see https://data.austintexas.gov/dataset/2020-Census-Redistricting-Data-Variable-Names-and-/w75r-rk3k/dataTechnical Documentation for the P.L. 94-171 File is available here: https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_StatesTechDoc_English.pdf

In 2023, the population of the San Antonio-New Braunfels metropolitan area in the United States was about 2.7 million people. This was a slight increase from the previous year, when the population was about 2.66 million people.

Census tracts in GIS format for the Austin Metropolitan Statistical Area (MSA) with selected demographic data. This data is provided as-is for the user's convenience and may not contain complete data.

This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics.

This dataset supports measure EOA.D.7 of SD23” Data Source: U.S. Census Bureau Calculation: #of households making less than 60% MFI annually within the City of Austin/total # of households making less than 60% MFI annually in the Austin Metropolitan Statistical Area (MSA) Measure Time Period: 2005-2017 Automated: No Date of last description update: 08.17.2020

View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/Ratio-of-residents-whose-income-is-less-than-60-pe/776m-fsj6/

Population Projections for the city of Austin, Travis County, and MSA prepared by the City Demographer at Housing and Planning Department

This is Census 2020 Places joined with the 2020 Decennial Census P.L. 94-171 File for the five county Austin MSA, as well as Houston, Dallas, and San Antonio. Data include Total Population, Race & Ethnicity, Housing Units, and Population over 18. For a full list of population variable descriptions, see https://data.austintexas.gov/dataset/2020-Census-Redistricting-Data-Variable-Names-and-/w75r-rk3k/dataTechnical Documentation for the P.L. 94-171 File is available here: https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_StatesTechDoc_English.pdf

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

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

In 2021, Midland metropolitan area in Texas had a per capita real GDP of about 227,765 chained U.S. dollars, the highest of any metro area in the United States. The San-Jose-Sunnyvale-Santa Clara and San Francisco-Oakland-Berkely metro areas in California also had high real GDP per capita. The Seattle-Tacoma-Bellevue metro area in Washington state and the Trenton-Princeton metro area in New Jersey round out the top five. Only the top 100 metro areas by GDP per capita are shown here.