The United States hosted, by far, the highest number of immigrants in the world in 2020. That year, there were over ** million people born outside of the States residing in the country. Germany and Saudi Arabia followed behind at around ** and ** million, respectively. There are varying reasons for people to emigrate from their country of origin, from poverty and unemployment to war and persecution. American Migration People migrate to the United States for a variety of reasons, from job and educational opportunities to family reunification. Overall, in 2021, most people that became legal residents of the United States did so for family reunification purposes, totaling ******* people that year. An additional ******* people became legal residents through employment opportunities. In terms of naturalized citizenship, ******* people from Mexico became naturalized American citizens in 2021, followed by people from India, the Philippines, Cuba, and China. German Migration Behind the United States, Germany also has a significant migrant population. Migration to Germany increased during the mid-2010's, in light of the Syrian Civil War and refugee crisis, and during the 2020’s, in light of conflict in Afghanistan and Ukraine. Moreover, as German society continues to age, there are less workers in the labor market. In a low-migration scenario, Germany will have **** million skilled workers by 2040, compared to **** million by 2040 in a high-migration scenario. In both scenarios, this is still a decrease from **** skilled workers in 2020.

All of the inhabitants in the Holy See, the home of the leader of the Roman Catholic Church, were immigrants in 2020, meaning that they were born outside of the country. Perhaps more interesting are the Gulf States the United Arab Emirates, Qatar, and Kuwait, all with an immigrant population of over ** percent of their total populations, underlining the high importance of migrant workers to these countries' economies. In terms of numbers, the United States had the highest number of immigrants in 2020. Migration to Gulf Cooperation Council states The United Arab Emirates, Qatar, and Kuwait, all members of the Gulf Cooperation Council (GCC), have a significant amount of migrant labor. The United Arab Emirates and Qatar both rank high in quality-of-life rankings for immigrants. A significant number of migrant workers in the GCC originate from Asia, with the most originating from Bangladesh. As of 2022, nearly ***** thousand Bangladeshi citizens expatriated to work in GCC nations. The American melting pot The United States is known for having high levels of diversity and migration. Migration to the United States experienced peaks from the periods of 1990-1999 as well as 1900-1909. Currently, Latin Americans are the largest migrant group in the United States, followed by migrants from Asia. Out of each state, California has some of the highest naturalization rates. In 2021, ******* people in California naturalized as U.S. citizens, followed by Florida, New York, Texas, and New Jersey.

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.

Sweden was the Nordic country that received the highest number of immigrants from 2001 to 2021. In 2021, nearly ****** people immigrated to Sweden, but was overtaken by Denmark in 2022. Sweden was also the country in the region with the highest net migration over the last years. Iceland, which also has the smallest population of the five, had the lowest number of immigrants. Migration to Sweden As the Nordic country with the highest number of migrants, nearly ** percent of survey respondents consider immigration an important issue for Swedish society, more than other European countries. In 2023, most immigrants to Sweden were Swedes returning to the country, followed by India, Poland, and Germany. The need for migration in Nordic nations Migrants often fill in gaps within labor markets that local populations cannot fill. In Nordic nations, these gaps are becoming more apparent as fertility rates decrease. Over the past decade, crude birth rates have decreased in all Nordic countries. Meanwhile, those aged 70 years and older are becoming larger portions of Nordic societies. Declining birth rates combined with aging societies mean that labor markets will be challenged to have enough workers.

immigration statistics for 2015 was 8,353,990, a 12.99% increase from 2010.

<ul style='margin-top:20px;'>

<li> immigration statistics for 2010 was <strong>7,393,545</strong>, a <strong>33.59% increase</strong> from 2005.</li>
<li> immigration statistics for 2005 was <strong>5,534,572</strong>, a <strong>34.41% increase</strong> from 2000.</li>
<li> immigration statistics for 2000 was <strong>4,117,797</strong>, a <strong>28.68% increase</strong> from 1995.</li>
</ul>International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.

Ireland IE: International Migrant Stock: % of Population data was reported at 15.917 % in 2015. This records an increase from the previous number of 15.822 % for 2010. Ireland IE: International Migrant Stock: % of Population data is updated yearly, averaging 11.569 % from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 15.917 % in 2015 and a record low of 6.224 % in 1995. Ireland IE: International Migrant Stock: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ireland – Table IE.World Bank.WDI: Population and Urbanization Statistics. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.; ; United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.; Weighted average;

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 ...).

Germany DE: International Migrant Stock: % of Population data was reported at 14.879 % in 2015. This records an increase from the previous number of 14.429 % for 2010. Germany DE: International Migrant Stock: % of Population data is updated yearly, averaging 11.828 % from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 14.879 % in 2015 and a record low of 7.518 % in 1990. Germany DE: International Migrant Stock: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Population and Urbanization Statistics. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.;United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.;Weighted average;

Using a multilevel modelling approach to analyse a novel dataset of academic publications at all business schools in 11 European countries, this paper finds that the influence of organisational- and country-level contextual factors on researchers varies considerably based on the type of institution and the development level of the country they are located in. At the organisational-level, we find that greater spatial connectivity–operationalised through proximity to nearby business schools, rail stations, and airports–is positively related to scientific research volume and public dissemination (news mentions). While this result is significant only for high-income countries (above EU-average 2018 GDP per capita), this is likely because the low-income countries (below EU-average 2018 GDP per capita) examined here lack a ‘critical mass’ of well-connected universities to generate observable agglomeration effects. At the country-level, the results indicate that in high-income countries, less prestigious schools benefit from higher rates of recent international immigration from any foreign country, providing a direct policy pathway for increasing research output for universities that aren’t already well-known enough to attract the most talented researchers. In low-income countries, recent immigration rates are even stronger predictors of research performance across all levels of institutional prestige; more open immigration policies would likely benefit research performance in these countries to an even greater extent. Finally, the paper’s results show that, in low-income countries, a composite measure of a country’s quality of life (including self-rated life satisfaction, health, working hours, and housing overcrowding) is positively related to research outcomes through its interaction with school prestige. This suggests that the lower a country’s quality of life, the more researchers are incentivised to produce higher levels of research output. While this may in part reflect the greater disparities inherent in these countries’ economic systems, it is noteworthy–and perhaps concerning–that we have observed a negative correlation between country-level quality of life and research performance in low-income countries, which is particularly felt by researchers at less prestigious institutions.

Germany Immigration: Asia data was reported at 376,968.000 Person in 2023. This records an increase from the previous number of 331,110.000 Person for 2022. Germany Immigration: Asia data is updated yearly, averaging 99,635.000 Person from Dec 1964 (Median) to 2023, with 60 observations. The data reached an all-time high of 687,848.000 Person in 2015 and a record low of 12,779.000 Person in 1968. Germany Immigration: Asia data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.G005: Migration.

Japan JP: International Migrant Stock: % of Population data was reported at 1.615 % in 2015. This records a decrease from the previous number of 1.676 % for 2010. Japan JP: International Migrant Stock: % of Population data is updated yearly, averaging 1.463 % from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 1.676 % in 2010 and a record low of 0.880 % in 1990. Japan JP: International Migrant Stock: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Population and Urbanization Statistics. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.; ; United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.; Weighted average;

Immigration Rate: per 1000 Inhabitants: South: Foreign Country data was reported at 7.863 % in 2011. This records an increase from the previous number of 6.900 % for 2009. Immigration Rate: per 1000 Inhabitants: South: Foreign Country data is updated yearly, averaging 6.900 % from Sep 2005 (Median) to 2011, with 6 observations. The data reached an all-time high of 7.863 % in 2011 and a record low of 6.600 % in 2007. Immigration Rate: per 1000 Inhabitants: South: Foreign Country data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAE010: Immigration Rate.

This table contains 32 series, with data for years 1956 - 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 (32 items: Outside Canada; Great Britain; France; Europe ...).

Historical chart and dataset showing UAE immigration statistics by year from 1960 to 2015.

Abstract

Multiple causes for displacement, all too often underpinned by violence and persecution, has led to over 800,000 Central Americans fleeing their homes, beginning in 2013. Year after year, there has been an increase in individuals fleeing. This was marked initially by especially large numbers of unaccompanied children, then joined in around 2018 with dramatic increases in families units fleeing Central America. Families are forced to flee together as violent threats and persecution by criminal groups in communities extend beyond individuals to entire family units.

Given these shifting dynamics in human mobility in these countries, UNHCR and UNICEF, through the Interdisciplinary Development Consultants, CID Gallup, decided to undertake this study with the aim of understanding and giving visibility to the forced displacement of families that flee northern Central America. In addition, the study also seeks to shed light on the current trends, protection risks and factors associated to the forced displacement and migration of unaccompanied and separated children.

For this purpose, Gallup conducted 3,104 surveys, complemented by focus group sessions segmented according to the geography of displacement in the region: country of origin, of transit and of asylum. Additionally, interviews were undertaken with families who were part of large mixed movement "caravans" that left Honduras at the beginning of 2020.

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

A significant sample was taken of each profile interviewed for a total of 3,104 surveys conducted in Honduras, El Salvador, Guatemala and Mexico. The content of each survey was focused on the following profiles:

Families and children and adolescents at risk of displacement in countries of origin: a total of 789 surveys were carried out with families identified from a non-probabilistic sampling. The surveys were taken in areas with the highest criminality and violence rates in countries of origin (El Salvador, Honduras and Guatemala), which were also areas with a prior history of forced displacement identified through previous studies. The survey questions focused on risks faced by families in their places of origin, including those that would compel them to flee, particularly those related to violence and poverty.

Families and children and adolescents in transit: a total of 836 surveys were carried out with families identified from a non-probabilistic sampling. The surveys were taken at locations where persons in transit were typically found in Guatemala and Mexico, such as Casas de Migrantes. For the quantitative component, data of unaccompanied children and adolescents was gatheredin Casa Nuestras Raices in Guatemala City and Quetzaltenango. This segment of the population was surveyed on the risks they faced during transit as well as the causes of displacement from their countries of origin.

Families and children and adolescents in country of destination: through non-probabilistic sampling methods, 453 people were surveyed, the majority of whom were recognized as refugees or asylum seekers in Mexico. Several interviews were facilitated by the UNHCR Office in Mexico in areas with this population profile: Casa del Migrante Monsenor-Oluta Veracruz, Scalabrinianas Mision con Migrantes y Refugiados, State DIF, Municipal DIF, among others. The survey questions for this population focused on the asylum procedure and their living conditions in the country.

Deported families and children and adolescents: non-probability cluster sampling. Interviews were conducted with 1,026 families that had been detained and deported during the 12 months prior to the survey. Locations included the Guatemalan Air Force base, outside of the Center for the Comprehensive Assistance to Migrants (CAIM for its acronym in Spanish) and outside of the following locations in Honduras: Center for the Assistance of Migrant Children and Families in Belen, and Center for the Assistance to the Returned Migrant (CAMR) and CAMR-OMOA.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire contains the following sections: household characteristics, individual characteristics, details on deportation, risks, transit, settled households.

Countries used for estimates of bilateral international migration flows based on methods presented in Abel & Cohen (2019) and Abel & Cohen (2022). The countries in the list correspond to both the estimates in the Figshare collection for the total bilateral international migration flow estimates and the Figshare collection for the sex-specifc bilateral international migration flow estimates.Version DetailsThe countries in the list are for the update of estimates of international migration flows based on the most recent published UN DESA International Migrant Stock (IMS2024) and World Population Prospects (WPP2024) data inputs. Refer to the version history for previous country list files based on older versions of the IMS and WPP data.

United States Immigrants Admitted: Singapore data was reported at 818.000 Person in 2017. This records an increase from the previous number of 812.000 Person for 2016. United States Immigrants Admitted: Singapore data is updated yearly, averaging 743.000 Person from Sep 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 1,204.000 Person in 2005 and a record low of 355.000 Person in 1999. United States Immigrants Admitted: Singapore 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.

Iraq was, by far, the country with the highest unemployment rate among foreign-born citizens in the world, with nearly half of the country's foreign-born population being unemployed in 2023. By comparison, Eswatini and Pakistan, the two countries with the second and third highest foreign-born unemployment rate, had rates below 24 percent.

Brazil Immigration Rate: per 1000 Inhabitants: Central West: Foreign Country data was reported at 1.126 % in 2011. This records an increase from the previous number of 1.000 % for 2009. Brazil Immigration Rate: per 1000 Inhabitants: Central West: Foreign Country data is updated yearly, averaging 1.000 % from Sep 2005 (Median) to 2011, with 6 observations. The data reached an all-time high of 1.126 % in 2011 and a record low of 0.800 % in 2006. Brazil Immigration Rate: per 1000 Inhabitants: Central West: Foreign Country data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAE010: Immigration Rate.