This statistic shows the 25 largest counties in the United States in 2022, by population. In 2022, about 9.72 million people were estimated to be living in Los Angeles County, California.

Additional information on urbanization in the United States

Urbanization is defined as the process by which cities grow or by which societies become more urban. Rural to urban migration in the United States, and around the world, is often undertaken in the search for employment or to enjoy greater access to services such as healthcare. The largest cities in the United States are steadily growing. Given their size, incremental increases yield considerable numerical gains as seen by New York increasing by 69,777 people in 2011, the most of any city. However in terms of percentage growth, smaller cities outside the main centers are growing the fastest, such as Georgetown city and Leander city in Texas.

Urbanization has increased slowly in the United States, rising from 80.77 percent of the population living in urban areas in 2010 to 82.66 percent in 2020. In 2018, the United States ranked 14th in a ranking of countries based on their degree of urbanization. Unlike fully urbanized countries such as Singapore and Hong Kong, the United States maintains a sizeable agricultural industry. Although technological developments have reduced demands for rural labor, labor in the industry and supporting services are still required.

This multi-scale map shows counts of the total population the US. Data is from U.S. Census Bureau's 2020 PL 94-171 data for county, tract, block group, and block.County and metro area highlights:The largest county in the United States in 2020 remains Los Angeles County with over 10 million people.The largest city (incorporated place) in the United States in 2020 remains New York with 8.8 million people.312 of the 384 U.S. metro areas gained population between 2010 and 2020.The fastest-growing U.S. metro area between the 2010 Census and 2020 Census was The Villages, FL, which grew 39% from about 93,000 people to about 130,000 people.72 U.S. metro areas lost population from the 2010 Census to the 2020 Census. The U.S. metro areas with the largest percentage declines were Pine Bluff, AR, and Danville, IL, at -12.5 percent and -9.1 percent, respectively.View more 2020 Census statistics highlights on local populations changes.

EPA data for Air Quality Index (AQI) for 11 of the fastest growing cities in the US for 2010 and 2019. US Official Census data for respective city growth from 2010-2019.

There are 4 labeled tabs. First is EPA data for each city for years 2010 and 2019. Second is US census data for each city's growth, region, population. Third is a key for AQI scores, Fourth is a key for air pollutant types.

Data is from US official census data and Environmental Protection Agency data. Cite both of these websites. Also, EPA data is county data from which the respective city belongs to. This is because county data is the most drilled down AQI data that the EPA website offers, or at least that I saw.

This survey of 1,008 adult residents includes questions from earlier Orange County Annual Surveys. It also includes key indicators from the PPIC Statewide Survey for comparisons with the state and regions of California. It also considers racial/ethnic, income, and political differences. The following issues are explored in this Orange County Survey: Orange County Issues, Housing Issues, and State and National Issues. Orange County Issues include such questions as: What are the trends over time in consumer confidence and the public's ratings of the quality of life and the economy in Orange County? Do residents recall the Orange County government bankruptcy in 1994, how do they perceive its impacts today, and have attitudes toward the county government recovered in the past 10 years? How satisfied are residents with their local public services and city governments? What are the most important issues facing the county and how do residents rate the problems in their regions? What are their perceptions of commuting and transportation plans and preferences for local transportation taxes? Housing Issues include such questions as: How satisfied are residents with their homes and neighborhoods and how do they perceive their opportunities for buying a home in Orange County? How many residents feel the financial strain of housing costs, perceive the benefits of rising home values, or are seriously considering moving? What housing and neighborhood options are they willing to consider?Online data analysis & additional documentation in Link below. Methods The Orange County Survey a collaborative effort of the Public Policy Institute of California and the School of Social Ecology at the University of California, Irvine is a special edition of the PPIC Statewide Survey. This is the fourth in an annual series of PPIC surveys of Orange County. Mark Baldassare, director of the PPIC Statewide Survey, is the founder and director of the Orange County Annual Survey at UCI and a former UCI professor. The UCI survey was conducted 19 times from 1982 to 2000; thus, the Orange County Survey collaboration between PPIC and UCI that began in 2001 is an extension of earlier survey efforts. The special survey of Orange County is co-sponsored by UCI with local support received for this four-year series from Deloitte and Touche, Pacific Life Foundation, Disneyland, Los Angeles Times, Orange County Business Council, Orange County Division of League of California Cities, Orange County Register, The Irvine Company, and United Way of Orange County.Orange County is the second most populous county in the state and one of California's fastest growing and changing regions. The county is home to three million residents today, having gained approximately one million residents since 1980. Three in four residents were white and non-Hispanic in 1980; today, nearly half are Latinos and Asians, and more population growth and racial/ethnic change are projected for the next several decades. The county's dynamic economy has become one of the leaders in the high-technology industry. The county is a bellwether county in state and national politics and the site of many important local governance issues, including a county government bankruptcy that occurred 10 years ago in December 1994. There are also housing, transportation, land use, and environmental concerns related to development. Public opinion findings are critical to informing discussions and resolving public debates on key issues. The purpose of this study is to inform policymakers, the media, and the general public by providing timely, accurate, and objective information about policy preferences and economic, social, and political trends.To measure changes over time, this survey of 1,008 adult residents includes questions from earlier Orange County Annual Surveys. It also includes key indicators from the PPIC Statewide Survey for comparisons with the state and regions of California. We also consider racial/ethnic, income, and political differences. The following issues are explored in this Orange County Survey:Orange County Issues What are the trends over time in consumer confidence and the public's ratings of the quality of life and the economy in Orange County? Do residents recall the Orange County government bankruptcy in 1994, how do they perceive its impacts today, and have attitudes toward the county government recovered in the past 10 years? How satisfied are residents with their local public services and city governments? What are the most important issues facing the county and how do residents rate the problems in their regions? What are their perceptions of commuting and transportation plans and preferences for local transportation taxes?Housing Issues How satisfied are residents with their homes and neighborhoods and how do they perceive their opportunities for buying a home in Orange County? How many residents feel the financial strain of housing costs, perceive the benefits of rising home values, or are seriously considering moving? What housing and neighborhood options are they willing to consider?State and National Issues What is the overall outlook for California and U.S. conditions? How do residents rate the job performances of Governor Arnold Schwarzenegger and President George W. Bush? What are their perceptions of the national election and the second term of the Bush presidency? Has the partisan divide in trust in the federal government increased over time?

United States Yogurt Market was valued at USD 8.59 billion in 2024 and is anticipated to grow USD 13.45 billion by 2030 with a CAGR of 7.81%.

The North America Acrylic Polymer and Acrylic Co-Polymers Market was valued at USD 312.31 Million in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 5.26% by 2029.

This study explores the variation in ignition probability from different development patterns. This study sought to answer how development influences the spatial IP patterns. Development changes were mapped for eleven years (between 2001 and 2012) and the relationship between development and fire risk was assessed. The study area covered Bastrop and Travis County located in Texas. Bastrop county is home to the most destructive fire in Texas history, while the neighboring Travis County is one of the fastest growing areas in the state. Lateral development was categorized into five categories: infill, radial, isolated, clustered, and linear. Ignition probability maps show a fair sensitivity (0.77-0.78). Using Maximum Entropy, I predict the spatial distribution of ignition probabilities based on several physical and land use characteristics couples with historic ignition locations. Variation in ignition probability was assessed for each category of development using one-way ANOVA’s and post hoc analysis for each time period. Analyses found that outlying development patterns: isolated, clustered, linear, were at higher wildfire risk than infill and radial development. The results suggest that both spatial composition and location influence wildfire ignition. Probability results suggest that fire probabilities fall along a development gradient. Those areas nearest previous urban development have lower probabilities while outlying development patterns in the wildlands have higher probabilities.