List of the data tables as part of the Immigration System Statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.
If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.
The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
Please tell us what format you need. It will help us if you say what assistive technology you use.
Immigration system statistics, year ending March 2025
Immigration system statistics quarterly release
Immigration system statistics user guide
Publishing detailed data tables in migration statistics
Policy and legislative changes affecting migration to the UK: timeline
Immigration statistics data archives
https://assets.publishing.service.gov.uk/media/68258d71aa3556876875ec80/passenger-arrivals-summary-mar-2025-tables.xlsx">Passenger arrivals summary tables, year ending March 2025 (MS Excel Spreadsheet, 66.5 KB)
‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.
https://assets.publishing.service.gov.uk/media/681e406753add7d476d8187f/electronic-travel-authorisation-datasets-mar-2025.xlsx">Electronic travel authorisation detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 56.7 KB)
ETA_D01: Applications for electronic travel authorisations, by nationality
ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality
https://assets.publishing.service.gov.uk/media/68247953b296b83ad5262ed7/visas-summary-mar-2025-tables.xlsx">Entry clearance visas summary tables, year ending March 2025 (MS Excel Spreadsheet, 113 KB)
https://assets.publishing.service.gov.uk/media/682c4241010c5c28d1c7e820/entry-clearance-visa-outcomes-datasets-mar-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 29.1 MB)
Vis_D01: Entry clearance visa applications, by nationality and visa type
Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome
Additional dat
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United States Immigrants Admitted: All Countries data was reported at 1,127,167.000 Person in 2017. This records a decrease from the previous number of 1,183,505.000 Person for 2016. United States Immigrants Admitted: All Countries data is updated yearly, averaging 451,510.000 Person from Sep 1900 (Median) to 2017, with 118 observations. The data reached an all-time high of 1,827,167.000 Person in 1991 and a record low of 23,068.000 Person in 1933. United States Immigrants Admitted: All Countries data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s United States – Table US.G087: Immigration.
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https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12064410%2F468b9ab69fbaa3eea94ab7c13537052f%2Fimmigration%20flag.png?generation=1673145948097950&alt=media" alt="">
This is a dataset that describes annual statistics regarding US immigration between the 1980-2021 fiscal years.
All data are official figures from the Department of Homeland Security's government website that have been compiled and structured by myself. There are several reasons for the decision to only examine immigration data from 1980 to 2021. Since 1976, a fiscal year for the US government has always started on October 1st and ended the following year on September 30th. If the years prior to 1976 were included, the data may be incorrectly represented and cause further confusion for viewers. Additionally, the United States only tracked refugee arrivals after the Refugee Act of 1980, a statistic that is prominently featured in the dataset. As a result, the start date of 1980 was chosen instead of 1976.
2023-01-07 - Dataset is created (465 days after the end of the 2021 fiscal year).
GitHub Repository - The same data but on GitHub.
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License information was derived automatically
Historical chart and dataset showing U.S. immigration statistics by year from 1960 to 2015.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Immigrants Admitted: Philippines data was reported at 53,287.000 Person in 2016. This records a decrease from the previous number of 56,478.000 Person for 2015. Immigrants Admitted: Philippines data is updated yearly, averaging 54,446.000 Person from Sep 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 74,606.000 Person in 2006 and a record low of 30,943.000 Person in 1999. Immigrants Admitted: Philippines data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G086: Immigration.
Immigration system statistics quarterly release.
The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email migrationstatistics@homeoffice.gov.uk
Please tell us what format you need. It will help us if you say what assistive technology you use.
https://assets.publishing.service.gov.uk/media/6825e438a60aeba5ab34e046/regional-and-local-authority-dataset-mar-2025.xlsx">Regional and local authority data on immigration groups, year ending March 2025 (MS Excel Spreadsheet, 279 KB)
Reg_01: Immigration groups, by Region and Devolved Administration
Reg_02: Immigration groups, by Local Authority
Please note that the totals across all pathways and per capita percentages for City of London and Isles of Scilly do not include Homes for Ukraine arrivals due to suppression, in line with published Homes for Ukraine figures.
https://assets.publishing.service.gov.uk/media/67bc89984ad141d90835347b/regional-and-local-authority-dataset-dec-2024.ods">Regional and local authority data on immigration groups, year ending December 2024 (ODS, 263 KB)
https://assets.publishing.service.gov.uk/media/675c7e1a98302e574b91539f/regional-and-local-authority-dataset-sep-24.ods">Regional and local authority data on immigration groups, year ending September 2024 (ODS, 262 KB)
https://assets.publishing.service.gov.uk/media/66bf74a8dcb0757928e5bd4c/regional-and-local-authority-dataset-jun-24.ods">Regional and local authority data on immigration groups, year ending June 2024 (ODS, 263 KB)
https://assets.publishing.service.gov.uk/media/66c31766b75776507ecdf3a1/regional-and-local-authority-dataset-mar-24-third-edition.ods">Regional and local authority data on immigration groups, year ending March 2024 (third edition) (ODS, 91.4 KB)
https://assets.publishing.service.gov.uk/media/65ddd9ebf1cab3001afc4795/regional-and-local-authority-dataset-dec-2023.ods">Regional and local authority data on immigration groups, year ending December 2023 (ODS, 91.6 KB)
https://assets.publishing.service.gov.uk/media/65ddda05cf7eb10011f57fbd/regional-and-local-authority-dataset-sep-2023.ods">Regional and local authority data on immigration groups, year ending September 2023 (ODS, 91.7 KB)
https://assets.publishing.service.gov.uk/media/655b39ce544aea000dfb301b/regional-and-local-authority-dataset-jun-2023.ods">Regional and local authority data on immigration groups, year ending June 2023 (ODS
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Immigrants Admitted: Mexico data was reported at 170,581.000 Person in 2017. This records a decrease from the previous number of 174,534.000 Person for 2016. United States Immigrants Admitted: Mexico data is updated yearly, averaging 153,629.500 Person from Sep 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 946,167.000 Person in 1991 and a record low of 66,533.000 Person in 1986. United States Immigrants Admitted: Mexico data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G087: Immigration.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical chart and dataset showing U.S. net migration by year from 1960 to 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The data presented in this data project were collected in the context of two H2020 research projects: ‘Enhanced migration measures from a multidimensional perspective’(HumMingBird) and ‘Crises as opportunities: Towards a level telling field on migration and a new narrative of successful integration’(OPPORTUNITIES). The current survey was fielded to investigate the dynamic interplay between media representations of different migrant groups and the governmental and societal (re)actions to immigration. With these data, we provide more insight into these societal reactions by investigating attitudes rooted in values and worldviews. Through an online survey, we collected quantitative data on attitudes towards: Immigrants, Refugees, Muslims, Hispanics, Venezuelans News Media Consumption Trust in News Media and Societal Institutions Frequency and Valence of Intergroup Contact Realistic and Symbolic Intergroup Threat Right-wing Authoritarianism Social Dominance Orientation Political Efficacy Personality Characteristics Perceived COVID-threat, and Socio-demographic Characteristics For the adult population aged 25 to 65 in seven European countries: Austria Belgium Germany Hungary Italy Spain Sweden And for ages ranged from 18 to 65 for: United States of America Colombia The survey in the United States and Colombia was identical to the one in the European countries, although a few extra questions regarding COVID-19 and some region-specific migrant groups (e.g. Venezuelans) were added. We collected the data in cooperation with Bilendi, a Belgian polling agency, and selected the methodology for its cost-effectiveness in cross-country research. Respondents received an e-mail asking them to participate in a survey without specifying the subject matter, which was essential to avoid priming. Three weeks of fieldwork in May and June of 2021 resulted in a dataset of 13,645 respondents (a little over 1500 per country). Sample weights are included in the dataset and can be applied to ensure that the sample is representative for gender and age in each country. The cooperation rate ranged between 12% and 31%, in line with similar online data collections.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Immigrants Admitted: South America data was reported at 79,076.000 Person in 2017. This records a decrease from the previous number of 79,608.000 Person for 2016. United States Immigrants Admitted: South America data is updated yearly, averaging 72,183.000 Person from Sep 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 137,971.000 Person in 2006 and a record low of 41,007.000 Person in 1988. United States Immigrants Admitted: South America data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G087: Immigration.
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This Dataset contains year and country wise Nonimmigrant Visas issued by USA to citizens of other nations
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License information was derived automatically
United States Immigrants Admitted: Europe data was reported at 84,335.000 Person in 2017. This records a decrease from the previous number of 93,567.000 Person for 2016. United States Immigrants Admitted: Europe data is updated yearly, averaging 104,629.000 Person from Sep 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 165,507.000 Person in 2001 and a record low of 61,174.000 Person in 1987. United States Immigrants Admitted: Europe data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G087: Immigration.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains 25 series, with data for years 1955 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Last permanent residence (25 items: Total immigrants; France; Great Britain; Total Europe ...).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 36 series, with data for years 1953 - 1976 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Origin of migrants (2 items: Overseas and the United States; Overseas ...) Intended occupations and dependents (18 items: Total immigration; Workers; managerial and administrative; Workers; professional; Total workers ...).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Analysis of ‘Missing Migrants Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jmataya/missingmigrants on 14 February 2022.
--- Dataset description provided by original source is as follows ---
This data is sourced from the International Organization for Migration. The data is part of a specific project called the Missing Migrants Project which tracks deaths of migrants, including refugees , who have gone missing along mixed migration routes worldwide. The research behind this project began with the October 2013 tragedies, when at least 368 individuals died in two shipwrecks near the Italian island of Lampedusa. Since then, Missing Migrants Project has developed into an important hub and advocacy source of information that media, researchers, and the general public access for the latest information.
Missing Migrants Project data are compiled from a variety of sources. Sources vary depending on the region and broadly include data from national authorities, such as Coast Guards and Medical Examiners; media reports; NGOs; and interviews with survivors of shipwrecks. In the Mediterranean region, data are relayed from relevant national authorities to IOM field missions, who then share it with the Missing Migrants Project team. Data are also obtained by IOM and other organizations that receive survivors at landing points in Italy and Greece. In other cases, media reports are used. IOM and UNHCR also regularly coordinate on such data to ensure consistency. Data on the U.S./Mexico border are compiled based on data from U.S. county medical examiners and sheriff’s offices, as well as media reports for deaths occurring on the Mexico side of the border. Estimates within Mexico and Central America are based primarily on media and year-end government reports. Data on the Bay of Bengal are drawn from reports by UNHCR and NGOs. In the Horn of Africa, data are obtained from media and NGOs. Data for other regions is drawn from a combination of sources, including media and grassroots organizations. In all regions, Missing Migrants Projectdata represents minimum estimates and are potentially lower than in actuality.
Updated data and visuals can be found here: https://missingmigrants.iom.int/
IOM defines a migrant as any person who is moving or has moved across an international border or within a State away from his/her habitual place of residence, regardless of
(1) the person’s legal status;
(2) whether the movement is voluntary or involuntary;
(3) what the causes for the movement are; or
(4) what the length of the stay is.[1]
Missing Migrants Project counts migrants who have died or gone missing at the external borders of states, or in the process of migration towards an international destination. The count excludes deaths that occur in immigration detention facilities, during deportation, or after forced return to a migrant’s homeland, as well as deaths more loosely connected with migrants’ irregular status, such as those resulting from labour exploitation. Migrants who die or go missing after they are established in a new home are also not included in the data, so deaths in refugee camps or housing are excluded. This approach is chosen because deaths that occur at physical borders and while en route represent a more clearly definable category, and inform what migration routes are most dangerous. Data and knowledge of the risks and vulnerabilities faced by migrants in destination countries, including death, should not be neglected, rather tracked as a distinct category.
Data on fatalities during the migration process are challenging to collect for a number of reasons, most stemming from the irregular nature of migratory journeys on which deaths tend to occur. For one, deaths often occur in remote areas on routes chosen with the explicit aim of evading detection. Countless bodies are never found, and rarely do these deaths come to the attention of authorities or the media. Furthermore, when deaths occur at sea, frequently not all bodies are recovered - sometimes with hundreds missing from one shipwreck - and the precise number of missing is often unknown. In 2015, over 50 per cent of deaths recorded by the Missing Migrants Project refer to migrants who are presumed dead and whose bodies have not been found, mainly at sea.
Data are also challenging to collect as reporting on deaths is poor, and the data that does exist are highly scattered. Few official sources are collecting data systematically. Many counts of death rely on media as a source. Coverage can be spotty and incomplete. In addition, the involvement of criminal actors in incidents means there may be fear among survivors to report deaths and some deaths may be actively covered-up. The irregular immigration status of many migrants, and at times their families as well, also impedes reporting of missing persons or deaths.
The varying quality and comprehensiveness of data by region in attempting to estimate deaths globally may exaggerate the share of deaths that occur in some regions, while under-representing the share occurring in others.
The available data can give an indication of changing conditions and trends related to migration routes and the people travelling on them, which can be relevant for policy making and protection plans. Data can be useful to determine the relative risks of irregular migration routes. For example, Missing Migrants Project data show that despite the increase in migrant flows through the eastern Mediterranean in 2015, the central Mediterranean remained the more deadly route. In 2015, nearly two people died out of every 100 travellers (1.85%) crossing the Central route, as opposed to one out of every 1,000 that crossed from Turkey to Greece (0.095%). From the data, we can also get a sense of whether groups like women and children face additional vulnerabilities on migration routes.
However, it is important to note that because of the challenges in data collection for the missing and dead, basic demographic information on the deceased is rarely known. Often migrants in mixed migration flows do not carry appropriate identification. When bodies are found it may not be possible to identify them or to determine basic demographic information. In the data compiled by Missing Migrants Project, sex of the deceased is unknown in over 80% of cases. Region of origin has been determined for the majority of the deceased. Even this information is at times extrapolated based on available information – for instance if all survivors of a shipwreck are of one origin it was assumed those missing also came from the same region.
The Missing Migrants Project dataset includes coordinates for where incidents of death took place, which indicates where the risks to migrants may be highest. However, it should be noted that all coordinates are estimates.
By counting lives lost during migration, even if the result is only an informed estimate, we at least acknowledge the fact of these deaths. What before was vague and ill-defined is now a quantified tragedy that must be addressed. Politically, the availability of official data is important. The lack of political commitment at national and international levels to record and account for migrant deaths reflects and contributes to a lack of concern more broadly for the safety and well-being of migrants, including asylum-seekers. Further, it drives public apathy, ignorance, and the dehumanization of these groups.
Data are crucial to better understand the profiles of those who are most at risk and to tailor policies to better assist migrants and prevent loss of life. Ultimately, improved data should contribute to efforts to better understand the causes, both direct and indirect, of fatalities and their potential links to broader migration control policies and practices.
Counting and recording the dead can also be an initial step to encourage improved systems of identification of those who die. Identifying the dead is a moral imperative that respects and acknowledges those who have died. This process can also provide a some sense of closure for families who may otherwise be left without ever knowing the fate of missing loved ones.
As mentioned above, the challenge remains to count the numbers of dead and also identify those counted. Globally, the majority of those who die during migration remain unidentified. Even in cases in which a body is found identification rates are low. Families may search for years or a lifetime to find conclusive news of their loved one. In the meantime, they may face psychological, practical, financial, and legal problems.
Ultimately Missing Migrants Project would like to see that every unidentified body, for which it is possible to recover, is adequately “managed”, analysed and tracked to ensure proper documentation, traceability and dignity. Common forensic protocols and standards should be agreed upon, and used within and between States. Furthermore, data relating to the dead and missing should be held in searchable and open databases at local, national and international levels to facilitate identification.
For more in-depth analysis and discussion of the numbers of missing and dead migrants around the world, and the challenges involved in identification and tracing, read our two reports on the issue, Fatal Journeys: Tracking Lives Lost during Migration (2014) and Fatal Journeys Volume 2, Identification and Tracing of Dead and Missing Migrants
The data set records
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This Dataset has year-wise total number of Non-Immigrant Visas issued to Indians. It also has data related to various types of Visas issues for each year.
Note: Fiscal Year is from October to September for that respective year
The U.S. Census defines Asian Americans as individuals having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent (U.S. Office of Management and Budget, 1997). As a broad racial category, Asian Americans are the fastest-growing minority group in the United States (U.S. Census Bureau, 2012). The growth rate of 42.9% in Asian Americans between 2000 and 2010 is phenomenal given that the corresponding figure for the U.S. total population is only 9.3% (see Figure 1). Currently, Asian Americans make up 5.6% of the total U.S. population and are projected to reach 10% by 2050. It is particularly notable that Asians have recently overtaken Hispanics as the largest group of new immigrants to the U.S. (Pew Research Center, 2015). The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the Asian American population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Immigrants Admitted: Russia data was reported at 9,297.000 Person in 2016. This records an increase from the previous number of 8,799.000 Person for 2015. United States Immigrants Admitted: Russia data is updated yearly, averaging 12,079.000 Person from Sep 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 20,771.000 Person in 2002 and a record low of 6,718.000 Person in 2010. United States Immigrants Admitted: Russia data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G086: Immigration.
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.
Australia, Canada, France, Germany, UK and US
Aggregate data [agg]
Other [oth]
The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.
You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.
What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!
SELECT
age.country_name,
age.life_expectancy,
size.country_area
FROM (
SELECT
country_name,
life_expectancy
FROM
bigquery-public-data.census_bureau_international.mortality_life_expectancy
WHERE
year = 2016) age
INNER JOIN (
SELECT
country_name,
country_area
FROM
bigquery-public-data.census_bureau_international.country_names_area
where country_area > 25000) size
ON
age.country_name = size.country_name
ORDER BY
2 DESC
/* Limit removed for Data Studio Visualization */
LIMIT
10
Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.
SELECT
age.country_name,
SUM(age.population) AS under_25,
pop.midyear_population AS total,
ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25
FROM (
SELECT
country_name,
population,
country_code
FROM
bigquery-public-data.census_bureau_international.midyear_population_agespecific
WHERE
year =2017
AND age < 25) age
INNER JOIN (
SELECT
midyear_population,
country_code
FROM
bigquery-public-data.census_bureau_international.midyear_population
WHERE
year = 2017) pop
ON
age.country_code = pop.country_code
GROUP BY
1,
3
ORDER BY
4 DESC /* Remove limit for visualization*/
LIMIT
10
The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.
SELECT
growth.country_name,
growth.net_migration,
CAST(area.country_area AS INT64) AS country_area
FROM (
SELECT
country_name,
net_migration,
country_code
FROM
bigquery-public-data.census_bureau_international.birth_death_growth_rates
WHERE
year = 2017) growth
INNER JOIN (
SELECT
country_area,
country_code
FROM
bigquery-public-data.census_bureau_international.country_names_area
Historic (none)
United States Census Bureau
Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data
List of the data tables as part of the Immigration System Statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.
If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.
The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
Please tell us what format you need. It will help us if you say what assistive technology you use.
Immigration system statistics, year ending March 2025
Immigration system statistics quarterly release
Immigration system statistics user guide
Publishing detailed data tables in migration statistics
Policy and legislative changes affecting migration to the UK: timeline
Immigration statistics data archives
https://assets.publishing.service.gov.uk/media/68258d71aa3556876875ec80/passenger-arrivals-summary-mar-2025-tables.xlsx">Passenger arrivals summary tables, year ending March 2025 (MS Excel Spreadsheet, 66.5 KB)
‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.
https://assets.publishing.service.gov.uk/media/681e406753add7d476d8187f/electronic-travel-authorisation-datasets-mar-2025.xlsx">Electronic travel authorisation detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 56.7 KB)
ETA_D01: Applications for electronic travel authorisations, by nationality
ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality
https://assets.publishing.service.gov.uk/media/68247953b296b83ad5262ed7/visas-summary-mar-2025-tables.xlsx">Entry clearance visas summary tables, year ending March 2025 (MS Excel Spreadsheet, 113 KB)
https://assets.publishing.service.gov.uk/media/682c4241010c5c28d1c7e820/entry-clearance-visa-outcomes-datasets-mar-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 29.1 MB)
Vis_D01: Entry clearance visa applications, by nationality and visa type
Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome
Additional dat