In 2019, California had the highest population of unauthorized immigrants, at around **** million. The overall figure for the United States was estimated to be around ***** million unauthorized immigrants.

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.

The estimated population of unauthorized immigrants in the U.S. stands at around ** million people. Although the number has stabilized, the United States has seen a spike in migrant encounters in the last few years, with over * million cases registered by the U.S. Border Patrol in 2023. This is a slight decrease from the previous year, when there were over *** million cases registered. Due to its proximity and shared border, Mexico remains the leading country of origin for most undocumented immigrants in the U.S., with California and Texas being home to the majority.

Immigration and political division

Despite the majority of the population having immigrant roots, the topic of immigration in the U.S. remains one of the country’s longest-standing political debates. Support among Republicans for restrictive immigration has grown alongside Democratic support for open immigration. This growing divide has deepened the polarization between the two major political parties, stifling constructive dialogue and impeding meaningful reform efforts and as a result, has led to dissatisfaction from all sides. In addition to general immigration policy, feelings toward illegal immigration in the U.S. also vary widely. For some, it's seen as a significant threat to national security, cultural identity, and economic stability. This perspective often aligns with support for stringent measures like Trump's proposed border wall and increased enforcement efforts. On the other hand, there are those who are more sympathetic toward undocumented immigrants, as demonstrated by support for the Deferred Action for Childhood Arrivals (DACA) program.

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.

Nationality of migrants. containing estimates of Long-Term International Migration, International Passenger survey and pre 1975 archived data. annual table.

This statistic shows the number of persons obtaining legal permanent resident status, also called "green card" recipients, in the U.S. who were born in NAFTA countries from 1986 to 2019. In 2019, ******* people born in Mexico received legal permanent resident status in the U.S.

The share of immigrants in the construction industry in New York City in 2019 was more than twice as high as the share in the United States as a whole. That year, ** percent of construction workers in New York State were immigrants, while that figure raised to ** percent in New York City.

In 2022, an estimated 10.99 million unauthorized immigrants were living in the United States. This is an increase from about 3.5 million unauthorized immigrants who lived in the United States in 1990.

Components of international migratory increase, quarterly: immigrants, emigrants, returning emigrants, net temporary emigrants, net non-permanent residents.

Relevant statistics on the activity of the General Inspectorate for Immigration

While the labor force participation rate of the migrant and non-migrant population was more or less equal in regions such as North Africa, Sub-Saharan Africa, and Latin America and the Caribbean, it was less even in other regions. The largest difference between migrants and non-migrants was found in Arab States, where nearly ** percent of migrants participated in the labor force, meaning that they were either employed or registered as unemployed looking forward. Only ** percent of the local population in Arab States participated in the workforce.

Annual number of international migrants by 5-year age groups and gender for Canada, provinces and territories.

Since its inception, the DHS has produced Fiscal Yearly ERO and detention statistics reports that provide information on detention and Alternatives to Detention (ATD) statistics. This dataset compiles the Ice Detention Data, Average in Custody Length of Stay (ICLOS) and Detainees, and Facilities tabs of the FY19, FY20, FY21, and FY22 DHS-ICE reports (referenced below), into a multi-year dataset.

Data Clean-up Process: To assist in the analysis and clear understanding of the data, and fix inaccuracies and data silences in the original data, additional columns were added to the facilities tab. Additionally, columns that were not used in the analysis and where outside of the scope of work, were removed from the new dataset. Rationale for the additional columns and the columns removed is as follow:

New Operator Category column: In attempting to understand the type of DHS facilities and how they may have changed through the years, an Operator Category column was added, where every facility is categorized as A) Country or City Facility (public), B) Privately Operated Facility, and C) Unknown operator. New Gender Modified Column: Upon reviewing the total number of female and male detainees for each facility it was noted that the original Male/Female column, which categorized each facility by the gender of the detainees, was often not reflective of the detainee population. To fix this error, a new "Gender Modified" column was added and the facilities were categorized as A) Male, B) Female, and C) Female and Male depending on the Total Male and Total Female columns of the reports. The new Gender Modified column is based on the ADP numbers of female vs. male detainees. If there were 0 female detainees, the facility was categorized as Male. If there were 0 Male ADP detainees, the facility was categorized as Female. If there were 1 or more detainees for both the female and male totals, the facility was categorized as Female and Male. New FY19-22 Active columns and New Ice Facilities ACTIVE 19-22 tab: Since the project attempts to do a multi-year analysis, five new columns were added to indicate if a facility was active FY19-22, Active FY19, Active FY20, Active FY21, and Active FY22. A facility that was active in a particular year was marked as Y. A facility that was Active all four years was marked as Y in the Active FY19-22 column. Certain modeling and hypothesis testing methodologies required that only the statistics for the facilities that were active FY19-22 be used. For this purpose, a second Tab named “Ice Facilities ACTIVE 19-22” was created. Removal of second to last inspection columns: The original DHS reports included additional columns with second to last inspection type, standard, and date. For the scope of this project, these columns were removed from each year and only the Last Inspection type, standard, and date were left and used for this project. New Percentage of Criminality columns: To calculate the percentage of criminality among detainees new Percentage of Criminality columns were added for each fiscal year. The percentages were calculated by the formula: (ADP: Criminality: Male Crim + ADP: Criminality: Female Crim) / (ADP Total Male + FY: Total Female) NA cells: to indicate that no information was provided by ICE in the original reports or to indicate that the particular facility was not active for a particular year, NA was added in the corresponding cells. Additional data analysis in R changed the NA to nulls.

Total international migration for Maryland and its jurisdictions are derived from the U.S. Census Bureau’s Population Estimates Program. These estimates reflect revisions to the entire time series, beginning with the estimate base of April 1, 2020, through July 1 of the current year (referred to as the 'vintage year,' or V2024). Each time series incorporates updated administrative records, geographic boundary changes, and methodological improvements. This data is updated annually. Source: U.S. Census Bureau, Population Estimates Program, March 2025

Number of Immigrants: CF: City of Moscow data was reported at 1,096.000 Person in Jan 2024. This records a decrease from the previous number of 1,842.000 Person for Dec 2023. Number of Immigrants: CF: City of Moscow data is updated monthly, averaging 1,469.000 Person from Jan 1998 (Median) to Jan 2024, with 311 observations. The data reached an all-time high of 4,184.000 Person in Mar 2019 and a record low of 318.000 Person in Jan 2019. Number of Immigrants: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GE004: Number of Immigrants: by Region.

This table contains figures on immigrants living in the Netherlands who have come to the Netherlands with a nationality of a country within the European Union (EU) or European Free Trade Association (EFTA). The figures refer to the reporting period 1999 to 2022. Data are broken down by gender, age group, nationality, derived migration target, naturalisation, socio-economic category and year of immigration. Immigrants from within the EU/EFTA do not need a residence permit from the Immigration and Naturalisation Service (IND). The derived migration target has been determined by Statistics Netherlands (CBS) on the basis of activities carried out by the immigrant after immigration into the Netherlands. No derived migration goal has been determined for persons who have Dutch nationality. For persons who had the nationality of a non-EU/EFTA country at the time of immigration, the derived migration target is based on the permit of the IND. This table only includes immigrants who, at the time of immigration, were nationals of countries belonging to the EU or EFTA on 31 December. As the United Kingdom left the European Union from 31 January 2020, immigrants from the United Kingdom are therefore included in this table until 31 December 2019.

Immigrants from countries that joined the EU or EFTA after 1999 are included in this table from the year of accession. Immigrants from countries that left the EU or EFTA after 1999 are included in this table until the year of withdrawal. Example: immigrants from the United Kingdom are included in this table until 2019.

Data available from: 1999

Status of figures: The figures in this table are provisional. Subsequent information has been incorporated into the figures for the previous periods. As a result, small deviations with previously published figures are possible.

Amendments as at 31 October 2024: None. This is a new table.

When will there be new figures? The figures for 2023 will be published in October 2025.

The Remain in Mexico (or Migrant Protection Protocol) is a binational program between the United States and Mexico, where individuals without proper documentation or asylum seekers entering the U.S., have to wait for their migration proceedings in Mexico. During the first version of this program (2019-2022), the total number of registered cases was over ****** from which only *** were later granted asylum.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data