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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.
Projected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html.
Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html.
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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.
This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The Economic Benefits of Latino Immigration: How the Migrant Hispanic Population’s Demographic Characteristics Contribute to US Growth, PIIE Working Paper 19-3.
If you use the data, please cite as: Huertas, Gonzalo, and Jacob Funk Kirkegaard. (2019). The Economic Benefits of Latino Immigration: How the Migrant Hispanic Population’s Demographic Characteristics Contribute to US Growth. PIIE Working Paper 19-3. Peterson Institute for International Economics.
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Unauthorized population estimates for 1990, 2000, and 2014.
Dataset, GDB, and Online Map created by Renee Haley, NMCDC, May 2023 DATA ACQUISITION PROCESS
Scope and purpose of project: New Mexico is struggling to maintain its healthcare workforce, particularly in Rural areas. This project was undertaken with the intent of looking at flows of healthcare workers into and out of New Mexico at the most granular geographic level possible. This dataset, in combination with others (such as housing cost and availability data) may help us understand where our healthcare workforce is relocating and why.
The most relevant and detailed data on workforce indicators in the United States is housed by the Census Bureau's Longitudinal Employer-Household Dynamics, LEHD, System. Information on this system is available here:
The Job-to-Job flows explorer within this system was used to download the data. Information on the J2J explorer can ve found here:
https://j2jexplorer.ces.census.gov/explore.html#1432012
The dataset was built from data queried with the LED Extraction Tool, which allows for the query of more intersectional and detailed data than the explorer. This is a link to the LED extraction tool:
https://ledextract.ces.census.gov/
The geographies used are US Metro areas as determined by the Census, (N=389). The shapefile is named lehd_shp_gb.zip, and can be downloaded under this section of the following webpage: 5.5. Job-to-Job Flow Geographies, 5.5.1. Metropolitan (Complete). A link to the download site is available below:
https://lehd.ces.census.gov/data/schema/j2j_latest/lehd_shapefiles.html
DATA CLEANING PROCESS
This dataset was built from 8 non intersectional datasets downloaded from the LED Extraction Tool.
Separate datasets were downloaded in order to obtain detailed information on the race, ethnicity, and educational attainment levels of healthcare workers and where they are migrating.
Datasets included information for the four separate quarters of 2021. It was not possible to download annual data, only quarterly. Quarterly data was summed in a later step to derive annual totals for 2021.
4 datasets for healthcare workers moving OUT OF New Mexico, with details on race, ethnicity, and educational attainment, were downloaded. 1 contained information on educational attainment, 2 contained information on 7 racial categories identifying as non- Hispanic, 3 contained information on those same 7 categories also identifying as Hispanic, and 4 contained information for workers identifying as white and Hispanic.
4 datasets for healthcare worker moving INTO New Mexico, with details on race, ethnicity, and educational attainment, were downloaded with the same details outlined above.
Each dataset was cleaned according to Data Template which kept key attributes and discarded excess information. Within each dataset, the J2J Indicators reflecting 6 different types of job migration were totaled in order to simplify analysis, as this information was not needed in detail.
After cleaning, each set of 4 datasets for workers moving INTO New Mexico were joined. The process was repeated for workers moving OUT OF New Mexico. This resulted 2 main datasets.
These 2 main datasets still listed all of the variables by each quarter of 2021. Because of this the data was split in JMP, so that attributes of educational attainment, race and ethnicity, of workers migrating by quarter were moved from rows to columns. After this, summary columns for the year of 2021 were derived. This resulted in totals columns for workers identifying as: 6 separate races and all ethnicities, all races and Hispanic, white-Hispanic, and workers of 6 different education levels, reflecting how many workers of each indicator migrated to and from metro areas in New Mexico in 2021.
The data split transposed duplicate rows reflecting differing worker attributes within the same metro area, resulting in one row for each metro area and reflecting the attributes in columns, thus resulting in a mappable dataset.
The 2 datasets were joined (on Metro Area) resulting in one master file containing information on healthcare workers entering and leaving New Mexico.
Rows (N=389) reflect all of the metro areas across the US, and each state. Rows include the 5 metro areas within New Mexico, and New Mexico State.
Columns (N=99) contain information on worker race, ethnicity and educational attainment, specific to each metro area in New Mexico.
78 of these rows reflect workers of specific attributes moving OUT OF the 5 specific Metro Areas in New Mexico and totals for NM State. This level of detail is intended for analyzing who is leaving what area of New Mexico, where they are going to, and why.
13 Columns reflect each worker attribute for healthcare workers moving INTO New Mexico by race, ethnicity and education level. Because all 5 metro areas and New Mexico state are contained in the rows, this information for incoming workers is available by metro area and at the state level - there is less possability for mapping these attributes since it was not realistic or possible to create a dataset reflecting all of these variables for every healthcare worker from every metro area in the US also coming into New Mexico (that dataset would have over 1,000 columns and be unmappable). Therefore this dataset is easier to utilize in looking at why workers are leaving the state but also includes detailed information on who is coming in.
The remaining 8 columns contain geographic information.
GIS AND MAPPING PROCESS
The master file was opened in Arc GIS Pro and the Shapefile of US Metro Areas was also imported
The excel file was joined to the shapefile by Metro Area Name as they matched exactly
The resulting layer was exported as a GDB in order to retain null values which would turn to zeros if exported as a shapefile.
This GDB was uploaded to Arc GIS Online, Aliases were inserted as column header names, and the layer was visualized as desired.
SYSTEMS USED
MS Excel was used for data cleaning, summing NM state totals, and summing quarterly to annual data.
JMP was used to transpose, join, and split data.
ARC GIS Desktop was used to create the shapefile uploaded to NMCDC's online platform.
VARIABLE AND RECODING NOTES
Summary of variables selected for datasets downloaded focused on educational attainment:
J2J Flows by Educational Attainment
Summary of variables selected for datasets downloaded focused on race and ethnicity:
J2J Flows by Race and Ethnicity
Note: Variables in Datasets 1 through 4 downloaded twice, once for workers coming into New Mexico and once for those leaving NM. VARIABLE: LEHD VARIABLE DEFINITION LEHD VARIABLE NOTES DETAILS OR URL FOR RAW DATA DOWNLOAD
Geography Type - State Origin and Destination State
Data downloaded for worker migration into and out of all US States
Geography Type - Metropolitan Areas Origin and Dest Metro Area
Data downloaded for worker migration into and out of all US Metro Areas
NAICS sectors North American Industry Classification System Under Firm Characteristics Only downloaded for Healthcare and Social Assistance Sectors
Other Firm Characteristics No Firm Age / Size Detail Under Firm Characteristics Downloaded data on all firm ages, sizes, and other details.
Worker Characteristics Education, Race, Ethnicity
Non Intersectional data aside from Race / Ethnicity data.
Sex Gender
0 - All Sexes Selected
Age Age
A00 All Ages (14-99)
Education Education Level E0, E1, E2, E3, 34, E5 E0 - All Education Categories, E1 - Less than high school, E2 - High school or equivalent, no college, E3 - Some college or Associate’s degree, E4 - Bachelor's degree or advanced degree, E5 - Educational attainment not available (workers aged 24 or younger)
Dataset 1 All Education Levels, E1, E2, E3, E4, and E5
RACE
A0, A1, A2, A3, A4, A5 OPTIONS: A0 All Races, A1 White Alone, A2 Black or African American Alone, A3 American Indian or Alaska Native Alone, A4 Asian Alone, A5 Native Hawaiian or Other Pacific Islander Alone, SDA7 Two or More Race Groups
ETHNICITY
A0, A1, A2 OPTIONS: A0 All Ethnicities, A1 Not Hispanic or Latino, A2 Hispanic or Latino
Dataset 2 All Races (A0) and All Ethnicities (A0)
Dataset 3 6 Races (A1 through A5) and All Ethnicities (A0)
Dataset 4 White (A1) and Hispanic or Latino (A1)
Quarter Quarter and Year
Data from all quarters of 2021 to sum into annual numbers; yearly data was not available
Employer type Sector: Private or Governmental
Query included all healthcare sector workflows from all employer types and firm sizes from every quarter of 2021
J2J indicator categories Detailed types of job migration
All options were selected for all datasets and totaled: AQHire, AQHireS, EE, EES, J2J, J2JS. Counts were selected vs. earnings, and data was not seasonally adjusted (unavailable).
NOTES AND RESOURCES
The following resources and documentation were used to navigate the LEHD and J2J Worker Flows system and to answer questions about variables:
https://lehd.ces.census.gov/data/schema/j2j_latest/lehd_public_use_schema.html
https://www.census.gov/history/www/programs/geography/metropolitan_areas.html
https://lehd.ces.census.gov/data/schema/j2j_latest/lehd_csv_naming.html
Statewide (New
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Descriptive statistics of undocumented immigrant adults stratified by use of smugglers to cross the US-Mexico border: Mexican Migration Project 2007–19.
A dataset of a longitudinal study of over 3,000 Mexican-Americans aged 65 or over living in five southwestern states. The objective is to describe the physical and mental health of the study group and link them to key social variables (e.g., social support, health behavior, acculturation, migration). To the extent possible, the study was modeled after the existing EPESE studies, especially the Duke EPESE, which included a large sample if African-Americans. Unlike the other EPESE studies that were restricted to small geographic areas, the Hispanic EPESE aimed at obtaining a representative sample of community-dwelling Mexican-American elderly residing in Texas, New Mexico, Arizona, Colorado, and California. Approximately 85% of Mexican-American elderly reside in these states and data were obtained that are generalizable to roughly 500,000 older people. The final sample of 3,050 subjects at baseline is comparable to those of the other EPESE studies. Data Availability: Waves I to IV are available through the National Archive of Computerized Data on Aging (NACDA), ICPSR. Also available through NACDA is the ����??Resource Book of the Hispanic Established Populations for the Epidemiologic Studies of the Elderly����?? which offers a thorough review of the data and its applications. All subjects aged 75 or older were interviewed for Wave V and 902 new subjects were added. Hemoglobin A1c test kits were provided to subjects who self-reported diabetes. Approximately 270 of the kits were returned for analyses. Wave V data are being validated and reviewed. A tentative timeline for the archiving of Wave V data is November 2006. Wave VI interviewing and data collection is scheduled to begin in Fall 2006. * Dates of Study: 1993-2006 * Study Features: Longitudinal, Minority oversamples, Anthropometric Measures * Sample Size: ** 1993-4: 3,050 (Wave I) ** 1995-6: 2,438 (Wave II) ** 1998-9: 1,980 (Wave III) ** 2000-1: 1,682 (Wave IV) ** 2004-5: 2,073 (Wave V) ** 2006-7: (Wave VI) Links: * ICPSR Wave 1: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/2851 * ICPSR Wave 2: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/3385 * ICPSR Wave 3: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4102 * ICPSR Wave 4: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4314 * ICPSR Wave 5: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/25041 * ICPSR Wave 6: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/29654
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This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.
In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.
Projected Population by Age Group, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // The projections generally do not precisely agree with population estimates available elsewhere on the Census Bureau website for methodological reasons. Where both estimates and projections are available for a given time reference, it is recommended that you use the population estimates as the measure of the current population. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html.
Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2012 to 2060 File: 2012 National Population Projections Source: U.S. Census Bureau, Population Division Release Date: December 2012 NOTE: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. The projections generally do not precisely agree with population estimates available elsewhere on the Census Bureau website for methodological reasons. Where both estimates and projections are available for a given time reference, we recommend that you use the population estimates as the measure of the current population. For detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/. *** The U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration. Additional information is available on the Population Projections website: http://www.census.gov/population/projections/.
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Family trees contain information on individuals such as birth and death places and years, and kinship ties, e.g., parent-child, spouse, and sibling relationships. Such information makes it possible to construct population-scale trees and study population dynamics and migration over many generations and far into the past. Despite the recent advances, existing spatial and temporal abstraction techniques for space-time flow data have limitations due to the lack of knowledge about the effects of temporal partitioning on flow patterns and their visualization. In this study, we extract state-to-state migration patterns over a period between 1789 and 1924 from a set of cleaned, geocoded and connected family trees from Rootsweb.com. We use the child ladder approach, one that captures changes in family locations by comparing birthplaces and birthyears of consecutive siblings. Our study has two major contributions. First, we introduce a methodology to reveal patterns and trends for analyzing and mapping of migration across space and time using a family tree dataset. Specifically, we evaluate a series of temporal partitioning methods to capture how changes in temporal partitioning influence the results of patterns and trends. Second, we visualize longitudinal population mobility in the US using time-series flow maps. This is one of the first studies to uncover dynamic migration patterns on a larger spatial and temporal scale, than the more typical micro studies of individual movement. Our findings are reflective of the migration patterns of European descendants in the U.S., while native Americans, Blacks, Mexican populations are not represented in the data. [KC1]
[KC1]Need to discuss about this more in limitations, and maybe put in in the abstract and/or introduction. Since this is a methodological paper to map migration from trees, I don’t think we need to add this in the title.
Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2012 to 2060 File: 2012 National Population Projections Source: U.S. Census Bureau, Population Division Release Date: December 2012 NOTE: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. The projections generally do not precisely agree with population estimates available elsewhere on the Census Bureau website for methodological reasons. Where both estimates and projections are available for a given time reference, we recommend that you use the population estimates as the measure of the current population. For detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/. *** The U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration. Additional information is available on the Population Projections website: http://www.census.gov/population/projections/.
The MxFLS is the first longitudinal survey in Mexico that follows individuals across rounds, including those who migrate within Mexico or emigrate to the Unites States of America. This allows studying the well-being of the Mexican population, and its transitions over time, as well as the factors that determine those transitions. Given that the MxFLS provides information for individuals who emigrated to the USA, it is possible to study, for the first time, migration dynamics between Mexico and the USA.
A primary goal of the Mexican Family Life Survey (MxFLS) is to create a longitudinal and multi-thematic database. On the one hand, this allows a long term tracking of individuals regardless of change in residence, newly formed homes or home conversions; and on the other hand, these characteristics will be beneficial in their use of a single tool collecting economic, demographic and health population indicators of the Mexican population. The survey’s first round (MxFLS-1) took place during the year 2002 reaching a sample size of 35 thousand individual interviews in 150 urban and rural locations throughout the country. The second round (MxFLS-2) ended during 2006 with 90 per cent a re-contact rate at the household level. During this second operational phase of tracking and interviewing original households between 2002 and 2006, those who migrated to the United States were contacted at a rate of over 91 per cent. Within this content, MxFLS-2 provides statistical evidence on the flow of internal migration into the United States, on population and on the welfare dynamics of the Mexican people that relocate within the country and in the US. This is regardless of whether or not they remain or return to their national territory and/or community of origin.
The MxFLS provides data to analyze the well-being of the Mexican population, and its transitions over time, as well as the factors that determine those transitions.
National coverage
Sample survey data [ssd]
Sampling design The design of the first round, the baseline survey (MxFLS-1), was undertaken by the National Institute of Statistics and Geography (INEGI, per its name in Spanish). The baseline sample is probabilistic, stratified, multi-staged, and independent at every phase of the study. The population is comprised by Mexican households in 2002. Primary sampling units were selected under criterions of national, urban-rural and regional representation on pre-established demographic and economic variables. Regional definitions are in accordance with the National Development Plan 2000-2006.
Longitudinal design The first round or baseline survey (MXFLS-1), implemented in 2002, and collected information on a sample of 35,000 individuals from 8,400 households in 150 communities throughout the country. The second (MxFLS-2) was conducted during 2005-2006. Given the longitudinal design of the survey, the MxFLS-2 aimed to relocate and re-interview the sample of the MxFLS-1-including those individuals who migrated within Mexico or emigrated to the United States of America-and to interview the individuals or households that grew out from previous samples. The MxFLS-2 relocated and re-interviewed almost 90 percent of the original sampled households.
Face-to-face [f2f]
The 2005 MxFLS-2 follows the content, design and structure of MxFLS-1 questionnaires. Additionally, MxFLS-2 contains innovative modules collecting data on child upbringing, individual expectations, seasonal preferences, altruistic behavior and risk taking.
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Additional file 8: Table S9. Associations of gut bacterial genera with US exposure, stratified by birth place, among the first generation immigrants.
Projected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2012 to 2060 File: 2012 National Population Projections Source: U.S. Census Bureau, Population Division Release Date: December 2012 NOTE: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. The projections generally do not precisely agree with population estimates available elsewhere on the Census Bureau website for methodological reasons. Where both estimates and projections are available for a given time reference, we recommend that you use the population estimates as the measure of the current population. For detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/. *** The U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration. Additional information is available on the Population Projections website: http://www.census.gov/population/projections/.
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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.