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.

This statistic provides projected figures for the Gross Metropolitan Product (GMP) of the United States in 2021, by metropolitan area. Only the 100 leading metropolitan areas are shown here. In 2022, the GMP of the New York-Newark-Jersey City metro area is projected to be around of about **** trillion U.S. dollars. Los Angeles metropolitan areaA metropolitan area in the U.S. is characterized by a relatively high population density and close economic ties through the area, albeit, without the legal incorporation that is found within cities. The Gross Metropolitan Product is measured by the Bureau of Economic Analysis under the U.S. Department of Commerce and includes only metropolitan areas. The GMP of the Los Angeles-Long Beach-Anaheim metropolitan area located in California is projected to be among the highest in the United States in 2021, amounting to *** trillion U.S. dollars. The Houston-The Woodlands-Sugar Land, Texas metro area is estimated to be approximately *** billion U.S. dollars in the same year. The Los Angeles metro area had one of the largest populations in the country, totaling ****** million people in 2021. The Greater Los Angeles region has one of the largest economies in the world and is the U.S. headquarters of many international car manufacturers including Honda, Mazda, and Hyundai. Its entertainment industry has generated plenty of tourism and includes world famous beaches, shopping, motion picture studios, and amusement parks. The Hollywood district is known as the “movie capital of the U.S.” and has its historical roots in the country’s film industry. Its port, the Port of Los Angeles and the Port of Long Beach are aggregately one of the world’s busiest ports. The Port of Los Angelesgenerated some ****** million U.S. dollars in revenue in 2019.

This statistics shows a list of the top 20 largest-metropolitan areas in the United States in 2010, by land area. Riverside-San Bernardino-Ontario in California was ranked first enclosing an area of 70,612 square kilometers.

This data set describes metropolitan areas in the conterminous United States, developed from U.S. Bureau of the Census boundaries of Consolidated Metropolitan Statistical Areas (CMSA) and Metropolitan Statistical Areas (MSA), that have been processed to extract the largest contiguous urban area within each MSA or CMSA.

This statistic shows the 50 metropolitan areas with the highest birth rate in the United States in 2023. Birth rate is the total number of live births per 1,000 of a population in a particular year. The Hinesville metro area in Georgia was ranked first with 18.69 births per 1,000 residents in 2023.

In 2023, San Jose-Sunnyvale-Santa Clara Metro area in California was ranked first with median household income of 153,202 U.S. dollars. The Washington-Arlington-Alexandria metro area had a median household income of 121,469 U.S. dollars.

In 20212, the San Jose-Sunnyvale-Santa Clara metro area in California had the highest per capita income at 64,169 U.S. dollars. The second highest, San Francisco-Oakland-Berkeley metro area is also located in California.

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.

In 2024, the average rent for rental apartments increased in ** of the ** U.S. metropolitan areas with the largest populations. Providence-Warwick, RI-MA was the metro with the highest rental growth, an annual increase of **** percent as of April that year. Conversely, Austin-Round Rock-Georgetown, TX experienced the highest decline in rents, at **** percent.

The number of single-family homes listed for sale in the 50 largest metros in the United States in January 2025 ranged between 1,000 and 26,000. Dallas, TX, which is the fourth-largest metropolitan area in the country, had the most active listings that month, totaling ******. New York, NY — the biggest metro in the country — had ****** active listings. Additionally, it was one of the few metros where inventory declined between January 2024 and January 2025.

This data provides estimates of Internet, broadband, and mobile use at the subnational level from 1997-2014. While the U.S. Bureau of the Census has collected data on Internet use over the years, estimates below the state level did not exist until the introduction of the new American Community Survey in 2013. The datasets here fill these gaps with estimates over time for cities, counties, metropolitan areas and states. They also provide demographic breakdowns for the 2013 and 2014 American Community Survey data, beyond what is available on the census website. The datasets can be used to draw comparisons across geographic locations and across time, to track inequality, change, and the impact of Internet use. Collectively, they show major differences across cities, as well as between urban and rural counties. Time series data indicate the flattening of growth in recent years, leading to the persistence of inequalities across places and demographic groups. Multilevel models are used to estimate the percentage of Internet use across counties, principal cities, and metropolitan areas with the CPS and ACs data. A group of random intercept logistic regressions (a type of multilevel model) are constructed for each of the Internet-related variables, namely, home Internet access, home broadband, mobile Internet, and fully-connected household (with broadband and mobile). Estimates are based on the U.S. Bureau of the Census Current Population Survey data for 1997, 2998, 200, 2001, 2003, 2007, 2009, 2010, 2011, and 2012 and the U.S. Bureau of the Census American Community Survey 2013 and 2014, with estimates for missing years imputed via linear interpolation. Estimates for home Internet access are available for 1997-2014, home broadband use for 2000-2014, and mobile use and fully-connected Internet use for 2011-2014. Data available for different geographies is described below. Current Population Survey Data, 1997-2012: Internet use time series, three-year averages, time series for rate of change in Internet use, three-year averages for the rate of change, and yearly summary statistics are available for approximately 330 counties (with some variation over years), the 50 largest Metropolitan Statistical Areas (MSAs), principal cities in the 50 largest MSAs, and the 50 states. American Community Survey Data, 2013-2014: Using Summary Tables of the American Community Survey available in FactFinder, estimates for home Internet access and home broadband are provided by race, ethnicity, education, age, and employment status for 50 states, 817 counties, 381 MSAs, 383 principal cities in 2013 and 387 principal cities in 2014. Using microdata, estimates are developed for home Internet access, home broadband, mobile Internet, and fully connected households broken down by race, ethnicity, education, age, family income, and language skill. The microdata estimates are available for 50 states, 417 counties, 260 MSAs and 102 principal cities in 2013. See Codebook for a more complete description of the datasets, data sources, survey questions, and methods. See the Center for Policy Informatics at Arizona State University website at policyinformatics.asu.edu/broadband-data-portal/home for visualization (maps and graphs) and for further information about this project.

Safe, reliable, and equitable water access is critical to human health and livelihoods. In this study, we present the first longitudinal analysis of household access to running water—a vital social infrastructure—in the 50 largest US cities since 1970. In the accompanying paper published in Nature Cities, results of the analysis indicate that water access has worsened in an increasing number and typology of US cities since the 2008 global financial crash, disproportionately affecting households of color. We provide evidence to suggest that a ‘reproductive squeeze’—systemic, compounding pressures on households’ capacity to reproduce themselves on a daily and societal basis—is forcing urban households into more precarious living arrangements, including housing without running water, with few signs of abating.This file—which is the supplementary data that underpins the paper—contains the microdata dataset for the manuscript "Urban Inequality, the Housing Crisis and Deteriorating Water Access in US Cities" (Nature Cities). Here, we present customized and improved Public Use Microdata Sample (PUMS) definitions used in our study that enable researchers to compare US Metropolitan Statistical Area (MSA) over time, while minimizing spatial error. The dataset also includes accompanying R code for statistical analysis of census microdata and the creation of static and dynamic spatial visualizations.Parties interested in collaborating on use of the full script may contact the corresponding author (K. Meehan).If you use this dataset or code, please cite as follows: Meehan, Katie, Jason R. Jurjevich, Lucy Everitt, Nicholas M.J.W. Chun, and Justin Sherrill. (2024). Metropolitan Geographic Definitions and Code for "Urban Inequality, the Housing Crisis and Deteriorating Water Access in US Cities.” Tucson, AZ: University of Arizona Research Data Repository. DOI: 10.25422/azu.data.25724286FUNDINGThis research and dataset were supported by a grant selected by the European Research Council and funded by UKRI Horizon Europe Guarantee (Grant No. EP/Y024265/1)For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

Application of the City-Centric recoding criteria across the 50 largest US metros, 2020.

The statistic shows the top 50 metropolitan areas of the United States with the highest share of the female population in 2019. In 2019, Jackson in Missouri ranked first with **** percent of residents being women.

This data was created as part of a study that examined the accessibility to jobs by transit in 46 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas. This data was created as part of a study that examined the accessibility to jobs by transit in 46 of the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's largest metropolitan areas. Downloads are available for individual metropolitan regions in CSV or Shapefile format. Combined ZIP files containing the data for all metropolitan regions are also available in CSV and Shapefile format, and are labeled as 'All Metropolitan Regions.'

2020 Population spanning error, 50 largest US metros.

Among the 81 largest metropolitan areas (by population) in the United States, Knoxville, Tennessee was ranked first with **** percent of residents reporting as white, non-Hispanic in 2023.

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

Release Date: 2022-11-10.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY22-308)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2021 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2021 ABS collection year produces statistics for the 2020 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.This is one of four tables in the ABS series to provide select economic and demographic characteristics of businesses (CB) for U.S. employer firms that reported the sex, ethnicity, race, and veteran status for up to four persons owning the largest percentage(s) of the business. The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Firms are asked to report their employees as of the March 12 pay period...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Percent of employer firms (%). Sales and receipts of employer firms (reported in $1,000s of dollars). Percent of sales and receipts of employer firms (%). Number of employees (during the March 12 pay period). Percent of employees (%). Annual payroll (reported in $1,000s of dollars). Percent of annual payroll (%)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2020 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Business Characteristics:.The ABS was designed to include select questions about business characteristics from multiple reference periods and to incorporate new content each survey year based on topics of relevance...Respondent firms include all firms that responded to the characteristics tabulated in this dataset and reported sex, ethnicity, race, or veteran status, or that were not classifiable by sex, ethnicity, race, or veteran status. Percentages are for r...

Safe, reliable, and equitable water access is critical to human health and livelihoods. In this study, we undertake the first systematic and comprehensive analysis of household piped water access in the United States, with the aim of explaining drivers of infrastructural inequality in the 50 largest metropolitan areas. Drawing on statistical analysis and regression modeling of U.S. census microdata at the household scale, our analysis reveals spatial and sociodemographic patterns of racialized, class-based, and housing disparities that characterize plumbing poverty across metropolitan areas.This dataset includes relevant supplemental data for our manuscript titled, "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities" (forthcoming, PNAS). Here, we present customized Public Use Microdata Sample (PUMS) definitions used in our study that make U.S. Metropolitan Statistical Area (MSA) geographies comparable over time, as well as the accompanying R code for statistical analysis of census microdata and the creation of spatial visualizations. Parties interested in collaborating on use of the full script may contact the corresponding author (K. Meehan).If you use this dataset or code, please cite as follows:Meehan, Katie; Jason R. Jurjevich; Nicholas M.J.W. Chun, and Justin Sherrill (2020): Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities." Tucson, AZ: University of Arizona Research Data Repository. https://doi.org/10.25422/azu.data.12456536For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu