12 datasets found
  1. Immigration system statistics data tables

    • gov.uk
    • totalwrapture.com
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Home Office (2025). Immigration system statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    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.

    Accessible file formats

    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.

    Related content

    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

    Passenger arrivals

    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.

    Electronic travel authorisation

    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

    Entry clearance visas granted outside the UK

    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

  2. M

    U.S. Immigration Statistics

    • macrotrends.net
    csv
    Updated May 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MACROTRENDS (2025). U.S. Immigration Statistics [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/immigration-statistics
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1960 - Dec 31, 2015
    Area covered
    United States
    Description

    Historical chart and dataset showing U.S. immigration statistics by year from 1960 to 2015.

  3. Regional and local authority data on immigration groups

    • gov.uk
    • totalwrapture.com
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Home Office (2025). Regional and local authority data on immigration groups [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-regional-and-local-authority-data
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    Immigration system statistics quarterly release.

    Accessible file formats

    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.

    Latest table

    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.

    Previous tables

    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

  4. H

    Replication Data for: "Perceptions of Threat, American National Identity,...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Apr 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    James Garand (2024). Replication Data for: "Perceptions of Threat, American National Identity, and Americans' Attitudes Toward Documented and Undocumented Immigrants" [Dataset]. http://doi.org/10.7910/DVN/L2YPZ7
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 13, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    James Garand
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is the raw data file and Stata code to replicate analyses found in Dan Qi and James C. Garand, "Perceptions of Threat, American National Identity, and Americans' Attitudes Toward Documented and Undocumented Immigrants" (Political Research Quarterly 2024)

  5. H1B LCA Disclosure Data (2020-2024)

    • kaggle.com
    Updated Jan 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zongao Bian (2025). H1B LCA Disclosure Data (2020-2024) [Dataset]. https://www.kaggle.com/datasets/zongaobian/h1b-lca-disclosure-data-2020-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 1, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Zongao Bian
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    About This Dataset

    This dataset provides a comprehensive record of Labor Condition Application (LCA) disclosures for H1B visa petitions filed with the U.S. Department of Labor (DOL) from 2020 to 2024. It has been cleaned and prepared for public analysis to offer valuable insights into employment trends, job categories, salaries, and geographic distribution of H1B workers.

    What is H1B?

    The H1B visa is a non-immigrant visa that allows U.S. companies to employ foreign workers in specialty occupations requiring theoretical or technical expertise. These roles typically include fields such as IT, engineering, finance, healthcare, and more. The H1B program is critical for addressing skill gaps in the U.S. workforce and supporting economic growth.

    What is LCA?

    The Labor Condition Application (LCA) is a prerequisite for filing an H1B visa petition. Employers submit the LCA to the DOL to ensure compliance with wage and working condition requirements. The LCA process protects both U.S. workers and foreign employees by enforcing: - Payment of prevailing wages. - Assurance that hiring foreign workers will not adversely affect local labor conditions.

    Each LCA disclosure contains information about the employer, job title, job location, wages, and visa classification.

    Why Analyze LCA Disclosure Data (2020-2024)?

    The dataset spans a crucial period (2020-2024) characterized by: - Pandemic Impact: Changes in employment patterns and visa policies due to COVID-19. - Remote Work Trends: Shifts in work location dynamics for H1B visa holders. - Tech Layoffs and Restructuring: Evolving job roles and industry demands, especially in tech. - Economic Recovery: Insights into how industries and geographic regions rebounded post-pandemic.

    Analyzing this data can provide: 1. Employment Trends: Discover trends in job roles, industries, and geographic locations hiring H1B workers. 2. Wage Comparisons: Compare wages across job titles, industries, and states. 3. Policy Insights: Assess the impact of government policies on foreign employment. 4. Geographic Distribution: Identify areas with the highest demand for H1B workers. 5. Industry Insights: Explore the reliance of various industries on foreign talent.

    Key Features of This Dataset

    • Years Covered: 2020 to 2024.
    • Number of Records: Includes all LCAs filed during this period.
    • Attributes: Comprehensive fields such as case number, job title, employer name, wage data, work location, and visa classification.
    • Source: Data is based on public disclosures from the U.S. Department of Labor.

    Who Can Use This Dataset?

    • Researchers: To study the economic impact of H1B workers and labor trends.
    • Policymakers: To analyze the effects of visa policies on labor markets.
    • Job Seekers: To explore prevailing wages and in-demand job roles for H1B petitions.
    • Businesses: To understand competitive trends in hiring foreign talent.
  6. Permanent Residents – Monthly IRCC Updates

    • open.canada.ca
    • data.wu.ac.at
    csv, xlsx
    Updated May 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Immigration, Refugees and Citizenship Canada (2025). Permanent Residents – Monthly IRCC Updates [Dataset]. https://open.canada.ca/data/en/dataset/f7e5498e-0ad8-4417-85c9-9b8aff9b9eda
    Explore at:
    xlsx, csvAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Immigration, Refugees And Citizenship Canadahttp://www.cic.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2015 - Mar 31, 2025
    Description

    People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

  7. o

    Datasets and U-Net Model for "A Deep Learning Based Framework to Identify...

    • osti.gov
    Updated Oct 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange (2024). Datasets and U-Net Model for "A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: a Case Study for California and Oklahoma" [Dataset]. http://doi.org/10.18141/2452768
    Explore at:
    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange
    Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    USDOE Office of Fossil Energy (FE)
    Area covered
    California
    Description

    This dataset has results and the model associated with the publication Ciulla et al., (2024). It contains a U-Net semantic segmentation model (unet_model.h5) and associated code implemented in tensorflow 2.0 for the model training and identification of oil and gas well symbols in USGS historical topographic maps (HTMC). Given a quadrangle map (7.5 minutes), downloadable at this url: https://ngmdb.usgs.gov/topoview/, and a list of coordinates of the documented wells present in the area, the model returns the coordinates of oil and gas symbols in the HTMC maps. For reproducibility of our workflow, we provide a sample map in California and the documented well locations for the entire State of California (CalGEM_AllWells_20231128.csv) downloaded from https://www.conservation.ca.gov/calgem/maps/Pages/GISMapping2.aspx. Additionally, the locations of 1,301 potential undocumented orphaned wells identified using our deep learning framework or the counties of Los Angeles and Kern in California, and Osage and Oklahoma in Oklahoma are provided in the file found_potential_UOWs.zip. The results of the visual inspection of satellite imagery in Osage County is in the file visible_potential_UOWs.zip. The dataset also includes a custom tool to validate the detected symbols in the HTMC maps (vetting_tool.py). More details about the methodology can be found in the associated paper: Ciulla, F., Santos, A., Jordan, P., Kneafsey, T., Biraud, S.C., and Varadharajan, C. (2024) A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: a Case Study for California and Oklahoma. Accepted for publication in Environmental Science and Technology. The geographical coordinates provided correspond to the locations of potential undocumented orphaned oil and gas wells (UOWs) extracted from historical maps. The actual presence of wells need to be confirmed with on-the-ground investigations. For your safety, do not attempt to visit or investigate these sites without appropriate safety training, proper equipment, and authorization from local authorities. Approaching these well sites without proper personal protective equipment (PPE) may pose significant health and safety risks. Oil and gas wells can emit hazardous gasses including methane, which is flammable, odorless and colorless, as well as hydrogen sulfide, which can be fatal even at low concentrations. Additionally, there may be unstable ground near the wellhead that may collapse around the wellbore. This dataset was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or the Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or the Regents of the University of California.

  8. Replication dataset and calculations for PIIE WP 24-10 The effect of lawful...

    • piie.com
    Updated Apr 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Michael A. Clemens (2024). Replication dataset and calculations for PIIE WP 24-10 The effect of lawful crossing on unlawful crossing at the US southwest border by Michael A. Clemens (2024). [Dataset]. https://www.piie.com/publications/working-papers/2024/effect-lawful-crossing-unlawful-crossing-us-southwest-border
    Explore at:
    Dataset updated
    Apr 18, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Michael A. Clemens
    Area covered
    Mexico-United States border, United States
    Description

    This data package includes the underlying data to replicate the charts and calculations presented in The effect of lawful crossing on unlawful crossing at the US southwest border, PIIE Working Paper 24-10.

    If you use the data, please cite as: Clemens, Michael A. 2024. The effect of lawful crossing on unlawful crossing at the US southwest border. PIIE Working Paper 24-10. Washington: Peterson Institute for International Economics.

  9. 2025 H-1B Visa Report

    • myvisajobs.com
    Updated Jan 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MyVisaJobs (2025). 2025 H-1B Visa Report [Dataset]. https://www.myvisajobs.com/reports/h1b/
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    MyVisaJobs.com
    Authors
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Number of LCA, Average Salary, H1B Visa Sponsor
    Description

    A detailed analysis of H-1B visa sponsorship trends, featuring data on labor certifications, top sponsoring employers, most common job titles, leading immigration law firms, key industries, and geographic distribution. This dataset provides valuable insights into employment-based immigration patterns, helping professionals, employers, and policymakers make informed decisions.

  10. Migrant journey: 2024 report

    • gov.uk
    • totalwrapture.com
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Home Office (2025). Migrant journey: 2024 report [Dataset]. https://www.gov.uk/government/statistics/migrant-journey-2024-report
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    This publication provides evidence on the behaviour of migrants entering the UK immigration system for the main routes of entry to the UK and the common pathways through the immigration system that result in settlement.

    Accessible file formats

    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.

  11. 2025 Green Card Reports

    • myvisajobs.com
    Updated Jan 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MyVisaJobs (2025). 2025 Green Card Reports [Dataset]. https://www.myvisajobs.com/reports/green-card/
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    MyVisaJobs.com
    Authors
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Salary, Employer, Petitions Filed
    Description

    A comprehensive dataset of Green Card sponsorship trends, including data on employment-based Green Cards, labor certifications, top employers, and industry trends.

  12. Private sector business counts by majority ownership, first quarter of 2024

    • www150.statcan.gc.ca
    • canwin-datahub.ad.umanitoba.ca
    • +3more
    Updated Feb 26, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2024). Private sector business counts by majority ownership, first quarter of 2024 [Dataset]. http://doi.org/10.25318/3310076901-eng
    Explore at:
    Dataset updated
    Feb 26, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Private sector business counts by majority ownership, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Home Office (2025). Immigration system statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables
Organization logo

Immigration system statistics data tables

Explore at:
25 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 22, 2025
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Home Office
Description

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.

Accessible file formats

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.

Related content

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

Passenger arrivals

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.

Electronic travel authorisation

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

Entry clearance visas granted outside the UK

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

Search
Clear search
Close search
Google apps
Main menu