Migration Summary (2011-2020) Infographic to be embedded in 2022 BBTN Migration Story Map. Data for maps and tables was retrieved from: Internal Revenue Service, Statistics of Income Division Migration Data, 2011 - 2020.

The Southern region of the United States gained an additional ******* 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 ******* residents.

Total domestic migration for Maryland and its jurisdictions are derived from the U.S. Census Bureau’s Population Estimates Program. These estimates reflect revisions to the entire time series, beginning with the estimate base of April 1, 2020, through July 1 of the current year (referred to as the 'vintage year,' or V2024). Each time series incorporates updated administrative records, geographic boundary changes, and methodological improvements. This data is updated annually.

Source: U.S. Census Bureau, Population Estimates Program

In 2023, the number of registered domestic migrations in Thailand amounted to around **** million, which was a slight increase compared to the previous year. The figures show a fluctuation of domestic migration movement throughout the years.

Migration, the movement of people from one location to another, is a key part in population change and provides useful insights that local governments utilize in the planning and development of areas; such as housing supply and demand, job markets, economic health, and resource allocations among others. Domestic migration is defined as the movement of a population within a country. There are two components: in-migrants, people moving into an area, and out-migrants, people moving out of an area. Although these movements occur in response to individual economic, lifestyle and lifecycle choices, in aggregate they show patterns of domestic migration that can change over time.

Analysis of ‘Maryland Domestic Migration: 2001-2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a92a63aa-093e-4599-a155-fdfc3603b04b on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Domestic Migration in Maryland and its Jurisdictions from 2001 to 2020. Domestic migration will also include the net change in group quarters population, source: Population Division, U.S. Census bureau, March 2021.

--- Original source retains full ownership of the source dataset ---

Russia Migration: Departures: Year to Date: per 10000 Persons: ow Domestic data was reported at 295.900 Person in Dec 2018. This records an increase from the previous number of 288.900 Person for Sep 2018. Russia Migration: Departures: Year to Date: per 10000 Persons: ow Domestic data is updated quarterly, averaging 140.550 Person from Mar 2001 (Median) to Dec 2018, with 72 observations. The data reached an all-time high of 295.900 Person in Dec 2018 and a record low of 106.300 Person in Jun 2009. Russia Migration: Departures: Year to Date: per 10000 Persons: ow Domestic data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GE001: Migration: ytd: Summary.

A dashboard featuring a figure displaying domestic migration values for gross migration, in migration, out migration, and net migration. Data for this figure was retrieved from the Internal Revenue Service, Statistics of Income Migration Data, 2011-2020.

Domestic Migration in Maryland and its Jurisdictions from 2001 to 2020. Domestic migration will also include the net change in group quarters population, source: Population Division, U.S. Census bureau, March 2021.

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.

🇭🇺 헝가리

Domestic migration by domestic migration by type, age, sex and year

🇸🇪 스웨덴

-19,294 (number) in 2020.

Domestic Residence & Permissions applications and decisions - year and month. Published by Department of Justice, Home Affairs and Migration. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0). This dataset relates to Domestic Residence & Permissions applications and decisions by year and month. This dataset has been generated at a specific point in time and is subject to revision. Values in the range 1 to 3 are suppressed using * for statistical non-disclosure reasons. Displayed totals relate to unsuppressed values only....

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.

In 2023, Tokyo Prefecture registered approximately ****** thousand inbound migrants from other prefectures in Japan. In contrast, Tottori Prefecture showed the lowest inbound migration within Japan, with approximately **** thousand inbound migrants.