13 datasets found
  1. Estimated number of illegal immigrants in the U.S. by age and sex 2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Estimated number of illegal immigrants in the U.S. by age and sex 2022 [Dataset]. https://www.statista.com/statistics/257783/estimated-number-of-illegal-immigrants-in-the-us-by-age-and-sex/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022
    Area covered
    United States
    Description

    In January 2022, it was estimated that about 1.85 million male illegal immigrants living in the United States were aged between 35 and 44 years old. In that same year, it was estimated that 1.52 million female illegal immigrants living in the U.S. were between 35 and 44 years old.

  2. d

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

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 24, 2024
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    Garand, James (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
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Garand, James
    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)

  3. Undocumented Immigrants Deported in the U.S.

    • kaggle.com
    Updated Mar 31, 2021
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    Elizabeth Fabio (2021). Undocumented Immigrants Deported in the U.S. [Dataset]. https://www.kaggle.com/datasets/ekayfabio/immigration-deported
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2021
    Dataset provided by
    Kaggle
    Authors
    Elizabeth Fabio
    License

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

    Area covered
    United States
    Description

    Acknowledgement

    The following table is imported from the 2019 Yearbook of Immigration Statistics under the Department of Homeland Security:

    The 2019 Yearbook of Immigration Statistics is a compendium of tables that provide data on foreign nationals who are granted lawful permanent residence (i.e., immigrants who receive a “green card”), admitted as temporary nonimmigrants, granted asylum or refugee status, or are naturalized. The Yearbook also presents data on immigration enforcement actions, including apprehensions and arrests, removals, and returns.

    Table 39. Aliens Removed or Returned: Fiscal Years 1892 to 2019 (https://www.dhs.gov/immigration-statistics/yearbook/2019/table39)

    Inspiration

    The data was collected to observe trends in history reflecting the number of immigrants deported - more specifically removed or returned.

  4. d

    Survey Dataset: UDLI, LLRC. NLRC

    • datadryad.org
    zip
    Updated Sep 12, 2019
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    Robert Rodriguez (2019). Survey Dataset: UDLI, LLRC. NLRC [Dataset]. http://doi.org/10.7272/Q6GF0RQD
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    zipAvailable download formats
    Dataset updated
    Sep 12, 2019
    Dataset provided by
    Dryad
    Authors
    Robert Rodriguez
    License

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

    Time period covered
    2019
    Description

    ABSTRACT

        Statements about building walls, deportation and denying services to undocumented immigrants made by the US president may induce fear in Latino populations and create barriers to their health care access. To assess the impact of these statements on undocumented Latino immigrants’ (UDLI) and Latino legal residents/citizens’ (LLRC) perceptions of safety and their presentations for emergency care, we conducted surveys of adult patients at three county emergency departments (EDs) in California from June 2017 to December 2018. Of 1,684 patients approached, 1,337 (79.4%) agreed to participate: 34.3% UDLI, 36.9% LLRC, and 29.8% non-Latino legal residents/citizens (NLRC). The vast majority of UDLI (95%), LLRC (94%), and NLRC (85%) had heard statements about immigrants by President Trump. Most UDLI (89%), LLRC (88%), and NLRC (87%) either thought that these measures were being enacted now or will be enacted in the futur...
    
  5. Regional and local authority data on immigration groups

    • gov.uk
    Updated May 22, 2025
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    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
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    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

  6. H

    Pew Hispanic Center

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    • +1more
    Updated Apr 13, 2011
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    Harvard Dataverse (2011). Pew Hispanic Center [Dataset]. http://doi.org/10.7910/DVN/HJJU8Y
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 13, 2011
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    Users can download data and reports regarding the experience of Latinos in the United States. Users can also interact with maps to view population trends over time. Background The Pew Hispanic Center website contains reports and datasets regarding the experience of Latinos in the United States. Topics include, but are not limited to: homeownership, elections, criminal justice system, and education. User Functionality Users can view and download reports. Users can also interact with maps to obtain demographic information and view population trends from 1980 to 2010. Datasets are also available to download directly into SPSS stat istical software. Surveys administered by the Pew Hispanic Center include: Hispanic Health Care Survey, National Survey of Latinos, Hispanic Religion Survey, Survey of Mexicans Living in the U.S. on Absentee Voting in Mexican Elections, Survey o f Mexican Migrants, and the Survey of Latinos on the News Media. Demographic information is available by race/ethnicity. Data Notes Report information is available on a national and county level and is indicated with the report or dataset. Demographic trends in population growth and dispersion are available for 1980 through 2010. Each report and dataset indicate years in which the data were collected and the geographic unit.

  7. f

    Unauthorized population estimates for 1990, 2000, and 2014.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Randy Capps; Julia Gelatt; Jennifer Van Hook; Michael Fix (2023). Unauthorized population estimates for 1990, 2000, and 2014. [Dataset]. http://doi.org/10.1371/journal.pone.0204199.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Randy Capps; Julia Gelatt; Jennifer Van Hook; Michael Fix
    License

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

    Description

    Unauthorized population estimates for 1990, 2000, and 2014.

  8. o

    How Internet Access Influences Public Opinion?

    • openicpsr.org
    Updated Oct 14, 2021
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    Muhammad Hassan Bin Afzal (2021). How Internet Access Influences Public Opinion? [Dataset]. http://doi.org/10.3886/E152521V1
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    Dataset updated
    Oct 14, 2021
    Dataset provided by
    Kent State University
    Authors
    Muhammad Hassan Bin Afzal
    License

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

    Area covered
    USA
    Description

    This research adds to the expanding field of data-driven analysis, scientific modeling, and forecasting on the impact of having access to the Internet and IoT on the general US population regarding immigrants and immigration policies. More specifically, this research focuses on the public opinion of undocumented immigrants in the United States and having access to the Internet in their local settings. The term Undocumented Immigrants refers to those who live in the United States without legal papers, documents, or visas. Undocumented immigrants may have come into the country unlawfully or with valid documentation, but their legal status has expired. Using the 2020 American National Election Studies (ANES) time series dataset, I investigated the relationship between internet access (A2I) and public perception of undocumented immigrants. According to my research and analysis, increasing internet access among non-Hispanic whites with at least a bachelors degree with an annual household income of less than 99K is more likely to oppose the deportation of undocumented immigrants and separating unaccompanied children from their families in borderland areas. The individuals with substantial Republican political ideology exhibit significantly lower opposing effects in deporting undocumented immigrants or separating unaccompanied children from their families. The evidence from multiple statistical models is resilient to a variety of factors. The findings show that increased internet access may improve undocumented immigrants social integration and acceptability. During health emergencies, it may be especially beneficial to make them feel safe, included, and supported in their local settings.

  9. f

    Descriptive statistics of undocumented immigrant adults stratified by use of...

    • plos.figshare.com
    bin
    Updated Aug 14, 2023
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    Fernando A. Wilson; Jim P. Stimpson; Alexander N. Ortega (2023). Descriptive statistics of undocumented immigrant adults stratified by use of smugglers to cross the US-Mexico border: Mexican Migration Project 2007–19. [Dataset]. http://doi.org/10.1371/journal.pgph.0002232.t001
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    binAvailable download formats
    Dataset updated
    Aug 14, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Fernando A. Wilson; Jim P. Stimpson; Alexander N. Ortega
    License

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

    Area covered
    Mexico, Mexico-United States border, United States
    Description

    Descriptive statistics of undocumented immigrant adults stratified by use of smugglers to cross the US-Mexico border: Mexican Migration Project 2007–19.

  10. Data from: Ethnic Albanian Organized Crime in New York City, 1975-2014

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Ethnic Albanian Organized Crime in New York City, 1975-2014 [Dataset]. https://catalog.data.gov/dataset/ethnic-albanian-organized-crime-in-new-york-city-1975-2014-236ba
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    New York
    Description

    These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The main aim of this research is to study the criminal mobility of ethnic-based organized crime groups. The project examines whether organized crime groups are able to move abroad easily and to reproduce their territorial control in a foreign country, or whether these groups, and/or individual members, start a life of crime only after their arrival in the new territories, potentially as a result of social exclusion, economic strain, culture conflict and labeling. More specifically, the aim is to examine the criminal mobility of ethnic Albanian organized crime groups involved in a range of criminal markets and operating in and around New York City, area and to study the relevance of the importation/alien conspiracy model versus the deprivation model of organized crime in relation to Albanian organized crime. There are several analytical dimensions in this study: (1) reasons for going abroad; (2) the nature of the presence abroad; (3) level of support from ethnic constituencies in the new territories; (4) importance of cultural codes; (5) organizational structure; (6) selection of criminal activities; (7) economic incentives and political infiltration. This study utilizes a mixed-methods approach with a sequential exploratory design, in which qualitative data and documents are collected and analyzed first, followed by quantitative data. Demographic variables in this collection include age, gender, birth place, immigration status, nationality, ethnicity, education, religion, and employment status. Two main data sources were employed: (1) court documents, including indictments and court transcripts related to select organized crime cases (84 court documents on 29 groups, 254 offenders); (2) in-depth, face-to-face interviews with 9 ethnic Albanian offenders currently serving prison sentences in U.S. Federal Prisons for organized crime related activities, and with 79 adult ethnic Albanian immigrants in New York, including common people, undocumented migrants, offenders, and people with good knowledge of Albanian organized crime modus operandi. Sampling for these data were conducted in five phases, the first of which involved researchers examining court documents and identifying members of 29 major ethnic Albanian organized crime groups operating in the New York area between 1975 and 2013 who were or had served sentences in the U.S. Federal Prisons for organized crime related activities. In phase two researchers conducted eight in-depth interviews with law enforcement experts working in New York or New Jersey. Phase three involved interviews with members of the Albanian diaspora and filed observations from an ethnographic study. Researchers utilized snowball and respondent driven (RDS) recruitment methods to create the sample for the diaspora dataset. The self-reported criteria for recruitment to participate in the diaspora interviews were: (1) age 18 or over; (2) of ethnic Albanian origin (foreign-born or 1st/2nd generation); and (3) living in NYC area for at least 1 year. They also visited neighborhoods identified as high concentrations of ethnic Albanian individuals and conducted an ethnographic study to locate the target population. In phase four, data for the cultural advisors able to help with the project data was collected. In the fifth and final phase, researchers gathered data for the second wave of the diaspora data, and conducted interviews with offenders with ethnic Albanian immigrants with knowledge of the organized crime situation in New York City area. Researchers also approached about twenty organized crime figures currently serving a prison sentence, and were able to conduct 9 in-depth interviews.

  11. f

    Key results across measurement type and political parties.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 30, 2023
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    David M. Markowitz; Paul Slovic (2023). Key results across measurement type and political parties. [Dataset]. http://doi.org/10.1371/journal.pone.0257912.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David M. Markowitz; Paul Slovic
    License

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

    Description

    Key results across measurement type and political parties.

  12. Crime and Victimization on the United States-Mexico Border: A Comparison of...

    • icpsr.umich.edu
    Updated Jun 26, 2025
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    Eno Louden, Jennifer; Curry, Theodore R. (2025). Crime and Victimization on the United States-Mexico Border: A Comparison of Legal Residents, Illegal Residents and Native-Born Citizens, Texas, 2019-2023 [Dataset]. http://doi.org/10.3886/ICPSR39110.v1
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Eno Louden, Jennifer; Curry, Theodore R.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/39110/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39110/terms

    Time period covered
    2019 - 2023
    Area covered
    Texas, El Paso
    Description

    The project was divided into two studies that together sought to compare criminal histories and victimization experiences for immigrants compared to U.S.-born citizens in the U.S.-México border region. Study one (datasets 1 and 2) of the project consists of secondary data from the El Paso County Sheriff's office, the US Census, and the El Paso Neighborhood Survey. Study two (dataset 3) of the project consists of interviews with inmates from El Paso county jails.

  13. f

    Characteristics of undocumented migrants and uninsured legal residents...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 8, 2023
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    Sarineke Klok; Eline van Dulm; Anders Boyd; Ellen Generaal; Sally Eskander; Ivo Kim Joore; Brigitte van Cleef; Evelien Siedenburg; Sylvia Bruisten; Yvonne van Duijnhoven; Gerdien Tramper-Stranders; Maria Prins (2023). Characteristics of undocumented migrants and uninsured legal residents tested for HCV (N = 435) by HCV status, in Amsterdam, the Netherlands, October 2018- October 2019. [Dataset]. http://doi.org/10.1371/journal.pone.0258932.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sarineke Klok; Eline van Dulm; Anders Boyd; Ellen Generaal; Sally Eskander; Ivo Kim Joore; Brigitte van Cleef; Evelien Siedenburg; Sylvia Bruisten; Yvonne van Duijnhoven; Gerdien Tramper-Stranders; Maria Prins
    License

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

    Area covered
    Netherlands, Amsterdam
    Description

    Characteristics of undocumented migrants and uninsured legal residents tested for HCV (N = 435) by HCV status, in Amsterdam, the Netherlands, October 2018- October 2019.

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

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Statista (2024). Estimated number of illegal immigrants in the U.S. by age and sex 2022 [Dataset]. https://www.statista.com/statistics/257783/estimated-number-of-illegal-immigrants-in-the-us-by-age-and-sex/
Organization logo

Estimated number of illegal immigrants in the U.S. by age and sex 2022

Explore at:
Dataset updated
Jul 5, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2022
Area covered
United States
Description

In January 2022, it was estimated that about 1.85 million male illegal immigrants living in the United States were aged between 35 and 44 years old. In that same year, it was estimated that 1.52 million female illegal immigrants living in the U.S. were between 35 and 44 years old.

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