United States Immigrants Admitted: All Countries data was reported at 1,127,167.000 Person in 2017. This records a decrease from the previous number of 1,183,505.000 Person for 2016. United States Immigrants Admitted: All Countries data is updated yearly, averaging 451,510.000 Person from Sep 1900 (Median) to 2017, with 118 observations. The data reached an all-time high of 1,827,167.000 Person in 1991 and a record low of 23,068.000 Person in 1933. United States Immigrants Admitted: All Countries data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s United States – Table US.G087: Immigration.

Immigrants Admitted: Philippines data was reported at 53,287.000 Person in 2016. This records a decrease from the previous number of 56,478.000 Person for 2015. Immigrants Admitted: Philippines data is updated yearly, averaging 54,446.000 Person from Sep 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 74,606.000 Person in 2006 and a record low of 30,943.000 Person in 1999. Immigrants Admitted: Philippines data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G086: Immigration.

The main dataset ("ESB Mobility Database") contains occupational data on 1,200 Irish immigrants who arrived in the U.S. in the Famine years and could be tracked for at least a decade. We also present the most up-to-date version of our Emigrant Savings Bank Depositor Database, which contains data on all 15,000 people who opened accounts at the bank from 1850 to 1858. Also provided are data from the 1855 New York State census documenting the occupations of New York's entire Irish-born population as well as datasets documenting the occupations held by New York's Irish immigrants one year and ten years after their arrival in America,

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.

This table contains 25 series, with data for years 1955 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Last permanent residence (25 items: Total immigrants; France; Great Britain; Total Europe ...).

Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

This paper demonstrates the effect of country level corruption on illicit behavior of individuals in a foreign country. The empirical research investigates the probability of individuals being apprehended overseas due to the influence of corrupt environment in their home countries. Using cross-sectional data for empirical analysis from 104 different countries over the period of 2009– 2011, the authors focused on finding how people from various countries act and behave differently while stationing outside of their home countries. Their findings reveal some evidences that individuals coming to the United States from corruption-ridden countries are more likely to be apprehended than individuals from less corrupt countries are.

The dataset consists of the number Removals by Country of Citizenship by the United State's Immigration and Customs Enforcement (ICE) in each fiscal year. An ICE removal is defined as the compulsory and confirmed movement of an inadmissible or deportable noncitizen out of the United States.

This Dataset contains year, country of citizenship, state or territory of US and gender-wise total number of permanent residents in USA

Note: Lawful permanent residents (LPRs) are foreign nationals who have been granted the right to reside permanently in the United States. LPRs are often referred to simply as "immigrants," but they are also known as "permanent resident aliens" and "green card holders."

The AmeriCorps Office of Research and Evaluation provides grants to researchers, scholars, and dissertators at institutions of higher education, enabling them to engage in comprehensive studies on civic engagement, volunteering, and national service. Studies include a variety of populations and ranges from local to organizational, and national contexts throughout the United States.

This AmeriCorps Research Grantee dataset provides comprehensive information about the grantees and their studies. For each award, we identify the: 1) study title; 2) background; 3) cohort year; 4) principal investigators and their affiliated university; 5) study location(s) associated with each grant; 6) civic engagement topic areas; and 7) the research approach. Please be aware that there may be multiple rows corresponding to a single research grantee study, reflecting the various study sites where the grantee is actively involved.

Each study was thematically coded to identify their civic engagement topic areas. An individual study can be categorized into more than one group. The topic areas include: • Arts & Culture, • Community Development, • Education Across the Life Course, • Youth Development, • Environment and Climate Change, • Health & Social Wellbeing, • Immigrants, Immigration & Refugees, • Economic Opportunity and Employment, • Social Equity, • Senior Development, and • Volunteering, Nonprofit Studies, and National Service.

Additionally, the research grantees’ studies were categorized into two distinct research approaches: traditional research and participatory research.

To learn more about the studies’ civic engagement topic areas and research approaches, please refer to the AmeriCorps Research Grantee Data Dictionary under Attachments.

For up-to-date information surrounding the AmeriCorps Research Grantees please see: • What is a Research Grant? https://americorps.gov/sites/default/files/document/What%20is%20a%20Research%20Grant_053023_final_508.pdf • AmeriCorps Research Grantee Activities and Insights: https://americorps.gov/grantees-sponsors/research-evaluation/grantee-profiles • Participatory Research: https://americorps.gov/sites/default/files/document/2021_07_20_ParticipatoryResearchOnePager_ORE.pdf

In migratory birds, among- and within-species heterogeneity in response to climate change may be attributed to differences in migration distance and, consequently, environmental cues that affect timing of arrival at breeding grounds. We used eBird observations and a within-species comparative approach to examine whether migration distance (with latitude as a proxy) and climate explain spring arrival dates in a raptor species with a widespread distribution and diverse migration strategies, the American Kestrel Falco sparverius. We found an interactive effect between latitude and spring minimum temperatures on arrival dates, where at lower latitudes (short-distance migrants) kestrels arrived earlier in warmer springs and later in colder springs, but kestrels at higher latitudes (long-distance migrants) showed no association between arrival timing and spring temperatures. Increased snow water equivalent delayed arrival at all latitudes. Results support the hypothesis that short-distance migrants are better able to respond to conditions on the breeding ground than long-distance migrants, suggesting that long-distance migrants may be more vulnerable to shifts in spring conditions that could lead to phenological mismatch.

Data Use
License
CC-BY 4.0
Recommended Citation
Powers BF, Winiarski JM, Requena-Mullor JM, Heath JA. 2020. Dataset for Estimating eBird Arrival Dates and Temperature Anomalies for American Kestrels [Data set]. https://doi.org/10.18122/bio_data/5/boisestate

Funding
US National Science Foundation and Idaho EPSCoR: OIA-1757324
US Department of Defense Strategic Environmental Research and Development Program: RC 2702
Boise State University: Department of Biological Sciences and Raptor Research Center

This table contains 36 series, with data for years 1953 - 1976 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Origin of migrants (2 items: Overseas and the United States; Overseas ...) Intended occupations and dependents (18 items: Total immigration; Workers; managerial and administrative; Workers; professional; Total workers ...).

The data in this dataset was extracted from the Information Wanted online database. It represents a unique data archive based on the numerous advertisements from the Boston-based Pilot newspaper placed by immigrants (and others) looking for lost friends and relatives from 1831 to 1920. The richness of the data includes demographic data on a large number of Irish immigrants gleaned from the ads such as place of origin in Ireland, occupation, port of entrance in the U.S. and in some cases several migrations in the U.S. and around the world. The current scope of the archive, which represents over 41,000 records, reflects interesting and tumultuous times, such as the Great Irish Famine and the United States Civil War. The database includes records primarily from 1831 through 1869. The author of the dataset, Ruth-Ann Harris, was a professor of history who served as head of the Irish Studies Department at Northeastern University before coming to Boston College as an adjunct professor of history in the Irish Studies Program. In 2005, Harris gave her database to Boston College, and the Office of Marketing and Communications developed the database and hosted it on the website, Information Wanted. Distribution represents the date on which the CSV data was downloaded from the web database.

This service shows the ratio of immigrants who arrived between 2001 and 2016 to immigrants who arrived before 2001, by 2016 census division. The data is a custom extraction from the 2016 Census - 25% sample data.

This data pertains to persons in private households who are immigrants by their period of immigration. 'Immigrant' includes persons who are, or who have ever been, landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2016 Census of Population, 'Immigrant' includes immigrants who landed in Canada on or prior to May 10, 2016. 'Period of immigration' refers to the period in which the immigrant first obtained landed immigrant or permanent resident status. For additional information refer to the 2016 Census Dictionary for 'Immigrant status' and 'Period of immigration'.

For additional information refer to the 2016 Census Dictionary for 'Immigrant status' and 'Period of immigration'.

To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

Context

The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

Sample Query 1

What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

standardSQL

SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

Sample Query 2

Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

standardSQL

SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

Sample Query 3

The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

Update frequency

Historic (none)

Dataset source

United States Census Bureau

Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows six condensed maps of Canada. Following those of British and French origin, the next most numerous groups in 1951 were those of German (619,995); Ukrainian (395,043); Scandinavian (283,024); Netherlands (264,267); Polish (219,854); and Jewish (181,670) origin. The three maps on the left of this plate show the population distribution of the aforementioned groups. For each group, the percentage distribution of population for provinces and territories is also provided by means of a pie chart. The three maps on the right of this plate are concerned with citizenship and immigration and show the percentage of persons born in Canada to the total population, the percentage of immigrants to the total population and the percentage of Canadian citizens to the total population.

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.

This project investigated various routes of entry to the UK of labour migrants coming from a single source country. Additionally, face-to-face interviews were conducted with recruiters, experts and healthcare professionals involved in training and administration in the Philippines. A total of 73 transcripts were compiled, 19 from care home assistants/nurses, 19 from domestic workers, 18 from hospital nurses, 13 from Philippine fieldwork (including student nurses), 2 from UK based recruitment agencies, 1 from a migrant organisation and 1 from a UK care home. Data and literature on health worker emigration patterns were gathered from local research bodies. The mission of the Centre is to provide a strategic, integrated approach to understanding contemporary and future migration dynamics across sending areas and receiving contexts in the UK and EU. In 2003, Filipinos made up the largest and most visible group of internationally recruited nurses in the UK. Of roughly 13,000 overseas nationals registered with the Nursing and Midwifery Council (NMC) that year, around 5,600, or almost half, came from the Philippines. They also figured prominently in private care homes and in the provision of care in private households. While there are various nationalities contributing to the care workforce, this project narrowed its focus on care workers from the Philippines due to it being a sector that is heavily segmented by ‘race,’ nationality, as well as immigration status. Focusing on one nationality also allowed us to investigate various routes of entry in the UK of labour migrants coming from a single source country. Additionally, fieldwork was carried out in the Philippines between November and December 2004 in order to asses the effect of nursing and care work recruitment from the sending country perspective. A series of interviews were conducted with recruiters, academics, experts and healthcare professionals involved in training and administration. Data and literature on health worker emigration patterns were gathered from local research bodies. The following findings were observed: (1) Many care workers arrived in the UK via other countries, highlighting the wide scope of multinational recruitment agencies. (2) Filipino care workers arriving via Singapore and the Middle East tended to enter via student visas, but employers assigned them more work than their immigration status allowed (they worked 35-40 hours compared to the regulated 20 hours) (3) Nurses working in care homes experienced more difficulty applying for registration, and were in some cases discouraged by employers. (4) Regulatory conditions differ significantly between public and private care providers. Recruitment to private nursing homes is particularly unregulated. 73 face-to-face interviews were conducted and transcribed from 19 care home assistants/nurses, 19 domestic workers, 18 hospital nurses, 13 Philippine fieldwork (including student nurses), 2 UK based recruitment agencies, a migrant organisation and a UK care home. No sampling method was used, it was totally universe. Data and literature on health worker emigration patterns were gather from local research bodies.