The aim of the Transatlantic Trends Survey is to identify the attitudes of the public in the United States and European countries towards foreign policy issues and transatlantic issues. Transatlantic Trends: Immigration, a special topic public opinion survey conducted yearly since 2008, is a project of the German Marshall Fund of the United States. For 2011, the Immigration survey examined attitudes and policy preferences related to immigration in France, Germany, Italy, the United Kingdom, and the United States. This collection focused on respondent perceptions of legal and illegal immigrants, conditions for admittance of immigrants, level of support for policies to reduce immigration, preconditions for citizenship, and whether or not immigration enriched society. Respondents were asked to identify the most important issues facing their country, to evaluate their government's performance in managing immigration and the economy, whether immigration presented a national opportunity or a problem, and whether they believed immigrants were integrating well into society. Additional topics included the developments in North Africa and the Middle East, responsibility for displaced refugees coming from North Africa, and whether the respondent's nation should offer economic aid to countries committed to democracy. Lastly, respondents were asked about which political party they identified with, their voting intentions in the next national election, and whether political party agendas would influence their vote. Demographic and other background information includes gender, age, stage at which full-time education was completed, age when stopped full-time education, employment status, ethnic background, country of birth, citizenship, parents' citizenship status, type of phone line, ownership of a mobile phone, and the number of people in their household.

Norway Immigration: America: North and Central: Mexico data was reported at 120.000 Person in 2017. This records an increase from the previous number of 113.000 Person for 2016. Norway Immigration: America: North and Central: Mexico data is updated yearly, averaging 33.000 Person from Dec 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 149.000 Person in 2011 and a record low of 6.000 Person in 1967. Norway Immigration: America: North and Central: Mexico data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.G006: Immigration: by Country.

Norway Immigration: America: North and Central: Dominican Republic data was reported at 43.000 Person in 2017. This records a decrease from the previous number of 51.000 Person for 2016. Norway Immigration: America: North and Central: Dominican Republic data is updated yearly, averaging 18.000 Person from Dec 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 69.000 Person in 2011 and a record low of 0.000 Person in 1974. Norway Immigration: America: North and Central: Dominican Republic data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.G006: Immigration: by Country.

VITAL SIGNS INDICATOR Migration (EQ4)

FULL MEASURE NAME Migration flows

LAST UPDATED December 2018

DESCRIPTION Migration refers to the movement of people from one location to another, typically crossing a county or regional boundary. Migration captures both voluntary relocation – for example, moving to another region for a better job or lower home prices – and involuntary relocation as a result of displacement. The dataset includes metropolitan area, regional, and county tables.

DATA SOURCE American Community Survey County-to-County Migration Flows 2012-2015 5-year rolling average http://www.census.gov/topics/population/migration/data/tables.All.html

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Data for migration comes from the American Community Survey; county-to-county flow datasets experience a longer lag time than other standard datasets available in FactFinder. 5-year rolling average data was used for migration for all geographies, as the Census Bureau does not release 1-year annual data. Data is not available at any geography below the county level; note that flows that are relatively small on the county level are often within the margin of error. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area, in addition to the primary MSAs for the nine other major metropolitan areas, by aggregating county data based on current metropolitan area boundaries. Data prior to 2011 is not available on Vital Signs due to inconsistent Census formats and a lack of net migration statistics for prior years. Only counties with a non-negligible flow are shown in the data; all other pairs can be assumed to have zero migration.

Given that the vast majority of migration out of the region was to other counties in California, California counties were bundled into the following regions for simplicity: Bay Area: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma Central Coast: Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz Central Valley: Fresno, Kern, Kings, Madera, Merced, Tulare Los Angeles + Inland Empire: Imperial, Los Angeles, Orange, Riverside, San Bernardino, Ventura Sacramento: El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba San Diego: San Diego San Joaquin Valley: San Joaquin, Stanislaus Rural: all other counties (23)

One key limitation of the American Community Survey migration data is that it is not able to track emigration (movement of current U.S. residents to other countries). This is despite the fact that it is able to quantify immigration (movement of foreign residents to the U.S.), generally by continent of origin. Thus the Vital Signs analysis focuses primarily on net domestic migration, while still specifically citing in-migration flows from countries abroad based on data availability.

In 2023, around 1.93 million people immigrated to Germany. Numbers fluctuated during the time period covered in the graph at hand, peaking in 2015 during the high point of Europe’s refugee crisis. Significantly lower figures in 2020 may be attributed to the first year of the coronavirus (COVID-19) pandemic, and subsequent restrictions implemented by the German government on entering the country, in order to control the spread of the disease. Immigration to Germany “Immigrant” is a term used from the point of view of the receiving country, or the country being migrated to by a person. While reasons for and circumstances leading to an immigrant entering a foreign country may vary, they often include love, include seeking residence, employment, family reunions, or applying for asylum. Various countries are represented among foreigners living in Germany, though currently the leading three by numbers are Turkey, Ukraine, and Syria. Around 5.2 million immigrants living in Germany do not need a residence permit due to having EU citizenship, and therefore being allowed freedom of movement based on EU law. Another 2.64 million immigrants were granted an unlimited permit to stay in Germany. The near future Germany remains a popular choice for immigrants, even in currently challenging economic and political times. Welfare benefits, healthcare, and various support initiatives for those moving to or arriving in the country are on the list of selling points, though in practice, difficulties may be encountered depending on individual situations and laws in different German federal states. While the unemployment rate among foreigners living in Germany had gone up in 2020, it dropped again in the following years, but increased once more in 2023 and 2024 to over 16 percent. The country is Europe’s largest economy, housing many global players in various industries, which continues to attract jobseekers, despite these very industries facing struggles of their own brought on both by the ongoing coronavirus pandemic and geopolitical events in Europe.

Norway Immigration: America: North and Central: Martinique data was reported at 0.000 Person in 2017. This stayed constant from the previous number of 0.000 Person for 2016. Norway Immigration: America: North and Central: Martinique data is updated yearly, averaging 0.000 Person from Dec 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 1.000 Person in 2011 and a record low of 0.000 Person in 2017. Norway Immigration: America: North and Central: Martinique data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.G006: Immigration: by Country.

Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.

AbstractThe H1B is an employment-based visa category for temporary foreign workers in the United States. Every year, the US immigration department receives over 200,000 petitions and selects 85,000 applications through a random process and the U.S. employer must submit a petition for an H1B visa to the US immigration department. This is the most common visa status applied to international students once they complete college or higher education and begin working in a full-time position. The project provides essential information on job titles, preferred regions of settlement, foreign applicants and employers' trends for H1B visa application. According to locations, employers, job titles and salary range make up most of the H1B petitions, so different visualization utilizing tools will be used in order to analyze and interpreted in relation to the trends of the H1B visa to provide a recommendation to the applicant. This report is the base of the project for Visualization of Complex Data class at the George Washington University, some examples in this project has an analysis for the different relevant variables (Case Status, Employer Name, SOC name, Job Title, Prevailing Wage, Worksite, and Latitude and Longitude information) from Kaggle and Office of Foreign Labor Certification(OFLC) in order to see the H1B visa changes in the past several decades. Keywords: H1B visa, Data Analysis, Visualization of Complex Data, HTML, JavaScript, CSS, Tableau, D3.jsDatasetThe dataset contains 10 columns and covers a total of 3 million records spanning from 2011-2016. The relevant columns in the dataset include case status, employer name, SOC name, jobe title, full time position, prevailing wage, year, worksite, and latitude and longitude information.Link to dataset: https://www.kaggle.com/nsharan/h-1b-visaLink to dataset(FY2017): https://www.foreignlaborcert.doleta.gov/performancedata.cfmRunning the codeOpen Index.htmlData ProcessingDoing some data preprocessing to transform the raw data into an understandable format.Find and combine any other external datasets to enrich the analysis such as dataset of FY2017.To make appropriated Visualizations, variables should be Developed and compiled into visualization programs.Draw a geo map and scatter plot to compare the fastest growth in fixed value and in percentages.Extract some aspects and analyze the changes in employers’ preference as well as forecasts for the future trends.VisualizationsCombo chart: this chart shows the overall volume of receipts and approvals rate.Scatter plot: scatter plot shows the beneficiary country of birth.Geo map: this map shows All States of H1B petitions filed.Line chart: this chart shows top10 states of H1B petitions filed. Pie chart: this chart shows comparison of Education level and occupations for petitions FY2011 vs FY2017.Tree map: tree map shows overall top employers who submit the greatest number of applications.Side-by-side bar chart: this chart shows overall comparison of Data Scientist and Data Analyst.Highlight table: this table shows mean wage of a Data Scientist and Data Analyst with case status certified.Bubble chart: this chart shows top10 companies for Data Scientist and Data Analyst.Related ResearchThe H-1B Visa Debate, Explained - Harvard Business Reviewhttps://hbr.org/2017/05/the-h-1b-visa-debate-explainedForeign Labor Certification Data Centerhttps://www.foreignlaborcert.doleta.govKey facts about the U.S. H-1B visa programhttp://www.pewresearch.org/fact-tank/2017/04/27/key-facts-about-the-u-s-h-1b-visa-program/H1B visa News and Updates from The Economic Timeshttps://economictimes.indiatimes.com/topic/H1B-visa/newsH-1B visa - Wikipediahttps://en.wikipedia.org/wiki/H-1B_visaKey FindingsFrom the analysis, the government is cutting down the number of approvals for H1B on 2017.In the past decade, due to the nature of demand for high-skilled workers, visa holders have clustered in STEM fields and come mostly from countries in Asia such as China and India.Technical Jobs fill up the majority of Top 10 Jobs among foreign workers such as Computer Systems Analyst and Software Developers.The employers located in the metro areas thrive to find foreign workforce who can fill the technical position that they have in their organization.States like California, New York, Washington, New Jersey, Massachusetts, Illinois, and Texas are the prime location for foreign workers and provide many job opportunities. Top Companies such Infosys, Tata, IBM India that submit most H1B Visa Applications are companies based in India associated with software and IT services.Data Scientist position has experienced an exponential growth in terms of H1B visa applications and jobs are clustered in West region with the highest number.Visualization utilizing programsHTML, JavaScript, CSS, D3.js, Google API, Python, R, and Tableau

Canada’s appeal as an immigration destination has been increasing over the past two decades, with a total of 464,265 people immigrating to the country in 2024. This figure is an increase from 2000-2001, when approximately 252,527 immigrants came to Canada. Immigration to the Great White North Between July 1, 2022 and June 30, 2023, there were an estimated 199,297 immigrants to Ontario, making it the most popular immigration destination out of any province. While the number of immigrants has been increasing over the years, in 2024 over half of surveyed Canadians believed that there were too many immigrants in the country. However, in 2017, the Canadian government announced its aim to significantly increase the number of permanent residents to Canada in order to combat an aging workforce and the decline of working-age adults. Profiles of immigrants to Canada The gender of immigrants to Canada in 2023 was just about an even split, with 234,279 male immigrants and 234,538 female immigrants. In addition, most foreign-born individuals in Canada came from India, followed by China and the Philippines. The United States was the fifth most common origin country for foreign-born residents in Canada.

Census: Number of Migrants: Punjab data was reported at 13,735,616.000 Person in 03-01-2011. This records an increase from the previous number of 9,189,438.000 Person for 03-01-2001. Census: Number of Migrants: Punjab data is updated decadal, averaging 9,189,438.000 Person from Mar 1991 (Median) to 03-01-2011, with 3 observations. The data reached an all-time high of 13,735,616.000 Person in 03-01-2011 and a record low of 6,960,431.000 Person in 03-01-1991. Census: Number of Migrants: Punjab data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAG001: Census of India: Migration: Number of Migrants: by States.