This annual study provides migration pattern data for the United States by State or by county and are available for inflows (the number of new residents who moved to a State or county and where they migrated from) and outflows (the number of residents who left a State or county and where they moved to). The data include the number of returns filed, number of personal exemptions claimed, total adjusted gross income, and aggregate migration flows at the State level, by the size of adjusted gross income (AGI) and by age of the primary taxpayer. Data are collected and based on year-to-year address changes reported on U.S. Individual Income Tax Returns (Form 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, U.S. Population Migration Data.

Estimates for UK immigration, emigration and net migration, year ending June 2012 to year ending December 2024. These are official statistics in development. To access the most up-to-date data for each time period, please use the most recently published dataset.

The migration of birds plays a crucial role in connecting different ecosystems, facilitating the spread of diverse pathogens, which poses a significant threat to public health. At present, the realtime monitoring of bird migration is growing. However, the extent of connectivity between migratory areas of birds remains uncertain. Herein, we conducted a systematic review of Chinese and English literature published between 1993 and 2023 to extract detailed spatiotemporal information on various bird species, which allowed us to identify migration times, starting points, terminations, and pathways of them at a subnational level, resulting in the creation of a global dataset of bird migration networks encompassing 42,844 geo-referenced records. These records cover 112 bird species and their 1,454 migratory routes across 189 countries or territories. Our dataset provides a comprehensive overview of the global distribution of bird migrations across different families, revealing the geographical patterns of diverse migration behaviors. This facilitates further investigations into the underlying drivers of bird migration, as well as alterations in migration routes and their impacts on ecosystems.

A report that provides an overview of the previous 10 years of Migration Program outcomes.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

Annual mid-year data on internal migration moves for England and Wales, by local authority, region, single year of age, five-year age group and sex. Data on internal migration moves between local authorities and regions and internal migration moves into and out of each local authority in England and Wales. Also including a lookup table listing each local authority in England and Wales, the region it is located within, its local authority code and region code.

The purpose of this dataset is to provide a systematic set of standardised contextual (economic, socio-political, cultural and legal) indicators in order to identify and measure on a comparative basis those contextual factors that have an (beneficial or inhibiting) impact on European, but not exclusively, responses to mass migration. Attention has been paid to existing socio-economic conditions and to national policies related to immigrants and asylum seekers. In this respect, the dataset comprises a set of both macro-level indicators measuring the socio-economic, political and institutional context of migration and cultural – or individual-level – indicators addressing ordinary citizens’ subjective attitudes, behaviours and perceptions about migration related-phenomena (e.g. perceived discrimination on ethnic grounds; immigration being bad or good for a country's economy; a country's cultural life being undermined or enriched by immigration).

Historical Migration Statistics brings together migration statistics from 1945 through to the present day.

In interpreting these statistics it should be noted that the classification of regions and country names has changed over time and that the way migration statistics are reported has also changed. From October 1945 to June 1959, migration statistics included permanent and long-term arrivals. Today, we have various components - the Migration Program, Humanitarian Program and Non-Program migration (mainly New Zealand citizens) reported as permanent additions to Australia's resident population.

Abstract

This dataset, a product of the Trade Team - Development Research Group, is part of a larger effort in the group to measure the extent of the brain drain as part of the International Migration and Development Program. It measures international skilled migration for the years 1975-2000.

The methodology is explained in: "Tendance de long terme des migrations internationals. Analyse à partir des 6 principaux pays recerveurs", Cécily Defoort.

This data set uses the same methodology as used in the Docquier-Marfouk data set on international migration by educational attainment. The authors use data from 6 key receiving countries in the OECD: Australia, Canada, France, Germany, the UK and the US.

It is estimated that the data represent approximately 77 percent of the world’s migrant population.

Bilateral brain drain rates are estimated based observations for every five years, during the period 1975-2000.

Geographic coverage

Australia, Canada, France, Germany, UK and US

Kind of data

Aggregate data [agg]

Mode of data collection

Other [oth]

The study of the patterns and evolution of international migration often requires high-frequency data on migration flows on a global scale. However, the presently existing databases force a researcher to choose between the frequency of the data and its geographical scale. Yearly data exist but only for a small subset of countries, while most others are only covered every 5 to 10 years. To fill in the gaps in the coverage, the vast majority of databases use some imputation method. Gaps in the stock of migrants are often filled by combining information on migrants based on their country of birth with data based on nationality or using ‘model’ countries and propensity methods. Gaps in the data on the flow of migrants, on the other hand, are often filled by taking the difference in the stock, which the ’demographic accounting’ methods then adjust for demographic evolutions.

This database aims to fill this gap by providing a global, yearly, bilateral database on the stock of migrants according to their country of birth. This database contains close to 2.9 million observations on over 56,000 country pairs from 1960 to 2022, a tenfold increase relative to the second-largest database. In addition, it also produces an estimate of the net flow of migrants. For a subset of countries –over 8,000 country pairs and half a million observations– we also have lower-bound estimates of the gross in- and outflow.

This database was constructed using a novel approach to estimating the most likely values of missing migration stocks and flows. Specifically, we use a Bayesian state-space model to combine the information from multiple datasets on both stocks and flows into a single estimate. Like the demographic accounting technique, the state-space model is built on the demographic relationship between migrant stocks, flows, births and deaths. The most crucial difference is that the state-space model combines the information from multiple databases, including those covering migrant stocks, net flows, and gross flows.

More details on the construction can currently be found in the UNU-CRIS working paper: Standaert, Samuel and Rayp, Glenn (2022) "Where Did They Come From, Where Did They Go? Bridging the Gaps in Migration Data" UNU-CRIS working paper 22.04. Bruges.

https://cris.unu.edu/where-did-they-come-where-did-they-go-bridging-gaps-migration-data

In the fourth quarter of 2021, sending remittances from South Africa was most expensive, at 13.02 percent of the total transfer. This was more than twice the G20 average percentage cost. Sending remittance from Russia was the cheapest out of the selected G20 countries at 3.13 percent of the transferred amount of money.

This dataset captures the global migration of students pursuing higher education from 2019 to 2023, including their countries of origin, destinations, universities, courses, placement outcomes, and more.

It covers 10 major destination countries with realistic mappings of top universities and cities, reflecting trends and choices students have made over the last five years.
This dataset can help analyze: - Popular destination countries - In-demand fields and courses - Scholarship and visa trends - Placement success rates and expected salaries - Patterns of global student migration

The data is synthetic but realistic, generated for educational, research, and analytical purposes.

In 2023, Northern America was the region with the highest level of net immigration, while Asia was the region with the highest level of net emigration. There is a clear trend of people moving from poorer regions of the Global South to more affluent regions, however it must be noted that these figures do not reflect internal migration within continents, such as the large number of migrants from South Asia to the Middle East, or movement from Eastern to Western Europe.

In Northern America, the United States was the largest recipient of immigrants, receiving one million more immigrants than emigrants lost. In contrast, in Asia, India and China had the largest number of net emigrants, totalling roughly 500,000 and 300,000 people respectively.

The Bangladesh Environment and Migration Survey (BEMS) collects detailed retrospective information about migration trips in southwest Bangladesh, including the first, last, and second-to-last to internal destinations, India, and other international destinations. BEMS collects information about the year, origin, destination, and duration of all trips. Furthermore, BEMS includes information on migration and livelihood histories, socioeconomic conditions, agricultural resources and practices, disasters and perceptions about environment, and self-reported health. Dataset 1 is a household-level file with information about household composition, economic and migratory activity of household members, land ownership/usage, business ownership, household environmental perceptions, environmental conditions, agricultural activities, and physical and psychological health/well-being of household members. Dataset 2 is an individual-level file containing details of internal and international migration trips, as well as measures of economic and social activity during those trips. It also contains information provided by household heads, spouses, and other migrants in the household. Dataset 3 is an individual-level data file that provides general demographic information and brief migration history for each member of a surveyed household. It also includes health information for the head of household and spouse.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientist...

Tool to locate the datasets of Long-Term International Migration and International Passenger Survey estimates.

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.

In 2024, in total ********* people entered household registration in Taiwan while ********* people left, resulting in a positive net migration of ****** people entering the country. The negative net migration in 2020, 2021, and 2022, as well as its reverse effect in 2023, was most probably mainly related to the coronavirus pandemic.

Total number of long-term immigrants arriving into the reporting country during the reference year