Between 2015 and 2020, the northeastern state of Nuevo León was the federal entity that registered the largest migration balance, with a total of 185,936 persons moving there from other Mexican states. By contrast, Mexico State lost nearly 250,000 inhabitants to other federal entities.

This line chart displays net migration (people) by date using the aggregation sum and is filtered where the country is the United States. The data is about countries per year.

VITAL SIGNS INDICATOR Migration (EQ4)

FULL MEASURE NAME Migration flows

LAST UPDATED December 2018

DESCRIPTION Migration refers to the movement of people from one location to another, typically crossing a county or regional boundary. Migration captures both voluntary relocation – for example, moving to another region for a better job or lower home prices – and involuntary relocation as a result of displacement. The dataset includes metropolitan area, regional, and county tables.

DATA SOURCE American Community Survey County-to-County Migration Flows 2012-2015 5-year rolling average http://www.census.gov/topics/population/migration/data/tables.All.html

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Data for migration comes from the American Community Survey; county-to-county flow datasets experience a longer lag time than other standard datasets available in FactFinder. 5-year rolling average data was used for migration for all geographies, as the Census Bureau does not release 1-year annual data. Data is not available at any geography below the county level; note that flows that are relatively small on the county level are often within the margin of error. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area, in addition to the primary MSAs for the nine other major metropolitan areas, by aggregating county data based on current metropolitan area boundaries. Data prior to 2011 is not available on Vital Signs due to inconsistent Census formats and a lack of net migration statistics for prior years. Only counties with a non-negligible flow are shown in the data; all other pairs can be assumed to have zero migration.

Given that the vast majority of migration out of the region was to other counties in California, California counties were bundled into the following regions for simplicity: Bay Area: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma Central Coast: Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz Central Valley: Fresno, Kern, Kings, Madera, Merced, Tulare Los Angeles + Inland Empire: Imperial, Los Angeles, Orange, Riverside, San Bernardino, Ventura Sacramento: El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba San Diego: San Diego San Joaquin Valley: San Joaquin, Stanislaus Rural: all other counties (23)

One key limitation of the American Community Survey migration data is that it is not able to track emigration (movement of current U.S. residents to other countries). This is despite the fact that it is able to quantify immigration (movement of foreign residents to the U.S.), generally by continent of origin. Thus the Vital Signs analysis focuses primarily on net domestic migration, while still specifically citing in-migration flows from countries abroad based on data availability.

The annual net migration of the population of Ukraine, calculated as the difference between the number of inter-state immigrants and emigrants, exceeded 19 thousand in 2021, marking a significant increase compared to the previous year. Since 2005, people migrating to and taking permanent residence in Ukraine have outnumbered those who left the country.

Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html.

A web mapping application displaying net migration at the state geography level for the United States over ten years (2011-2020). Data for this map was sourced from the Internal Revenue Service.

The Southern region of the United States gained an additional 253,000 people between 2020 and 2021 due to domestic migration, the most out of any region. All other regions experienced a decline in residents due to domestic migration, with the Northeast losing the most people, with a net loss of 227,000 residents.

Net migration for the United States was 4774029.00000 People in January of 2017, according to the United States Federal Reserve. Historically, Net migration for the United States reached a record high of 8859954.00000 in January of 1997 and a record low of 1556054.00000 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for Net migration for the United States - last updated from the United States Federal Reserve on March of 2025.

Abstract (en): This data collection provides net migration estimates by age, race, and sex for counties of the United States. Population data are included along with absolute net migration data and net migration ratios (rates) for the period 1970-1980. Summary records for states, divisions, regions and the United States are also supplied. Several data categories are presented in the collection. Vital Statistics data tabulate births by sex and race (white and non white) for the periods 1970-1974 and 1975-1979 and deaths by race from 1970-1979 as well as adjusted total population for 1970 and 1980 by race. The Enumerated and Adjusted 1970 and 1980 Population categories offer population totals by race and sex and further subdivide these totals into 16 5-year age ranges. Net Migration Estimates and Net Migration Rates are available also, with totals by sex and race presented along with the 16 age divisions. Total United States population. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. Center for Population Research (HD18739).

From 1921 until 1970, the number of people migrating away from farms was higher than the number of people moving to farms in almost every year. The only times where the farming population saw higher immigration than emigration were during the Great Depression and after the Second World War.

Graph and download economic data for Net migration for Other Small States (SMPOPNETMOSS) from 1962 to 2017 about migration, Net, and 5-year.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Centre County, PA (DISCONTINUED) (NETMIGNACS042027) from 2009 to 2020 about Centre County, PA; State College; migration; flow; PA; Net; 5-year; and population.

The United States had the highest net migration levels of the G7 countries between 2000 and 2022. This is unsurprising as it also is the country with the highest population of the seven. Moreover, net migration to the United States decreased from 2016 and onwards, following the beginning of the Trump administration. Germany's net migration peaked in 2016 and 2017 after a high number of refugees immigrated to the country, but has been decreasing since. In terms of net migration per 1,000 inhabitants, Canada had the highest ratio in 2022.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for King County, WA (DISCONTINUED) (NETMIGNACS053033) from 2009 to 2020 about King County, WA; Seattle; migration; flow; WA; Net; 5-year; and population.

This statistic shows the net percentage change in the Millennial population in the United States from 2010 to 2016, by state. In the period of 2010 to 2016, North Dakota had the largest change in Millennial population, growing 18 percent.

Migration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question "Where did you live 1 year ago?". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area.

Armenia recorded the highest crude rate of net migration among the countries of the Commonwealth of Independent States (CIS). Over the course of 2023, the ratio of the difference between immigrants into and emigrants from the country reached 25 per 1,000 population.

Chart and table of the Caribbean Small States net migration rate from 1950 to 2025. United Nations projections are also included through the year 2100.

Tokyo Prefecture continued to be a magnet for domestic migration in Japan, attracting nearly 58,500 new residents from other prefectures in 2023. By contrast, Hiroshima Prefecture showed the highest population loss due to outbound migration within the country, with a net loss of approximately 7,400 migrants. Attractiveness of Tokyo The population density in the prefecture has grown over the past two decades, surpassing 6,400 inhabitants per square kilometer in 2020. The appealing nature of Tokyo is also reflected in the age demographics of the metropolis, with most residents falling within the working-age group of 15 to 64 years. Numerous prestigious universities and large corporations make the area a popular destination for young people with aspirations. Depopulation of rural areas The migration patterns across Japan's prefectures indicate significant regional disparities. While Tokyo leads in population size with 14 million inhabitants in 2023, prefectures like Tottori struggle to retain residents, counting only about 540,000 people. This imbalance has prompted concerns about the sustainability of rural communities and has led to various initiatives aimed at revitalizing less populous areas. The Japanese government faces the complex task of addressing these demographic shifts while also navigating challenges resulting from a nationwide aging population due to prolonged life expectancy and fertility decline.

International net migration of Mexico State increased by 0.86% from -12,741 persons in 2023 to -12,850 persons in 2024. Since the 5.39% surge in 2017, international net migration surged by 9.10% in 2024.