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According to figures recently released by the United States Census, America’s largest metro areas are currently gaining population at impressive rates. The growth in these areas is in fact driving much of the population growth across the nation. Upon closer examination of the data, this growth is the result of two very different migrations – one coming from the location choices of Americans themselves, the other shaped by where new immigrants from outside the United States are heading.While many metro areas are attracting a net-inflow of migrants from other parts of the country, in several of the largest metros – New York, Los Angeles., and Miami, especially – there is actually a net outflow of Americans to the rest of the country. Immigration is driving population growth in these places. Sunbelt metros like Houston, Dallas, and Phoenix, and knowledge hubs like Austin, Seattle, San Francisco, and the District of Columbia are gaining much more from domestic migration.This map charts overall or net migration – a combination of domestic and international migration. Most large metros, those with at least a million residents, had more people coming in than leaving. The metros with the highest levels of population growth due to migration are a mix of knowledge-based economies and Sunbelt metros, including Houston, Dallas, Miami, District of Columbia, San Francisco, Seattle, and Austin. Eleven large metros, nearly all in or near the Rustbelt, had a net outflow of migrants, including Chicago, Detroit, Memphis, Philadelphia, and Saint Louis.Source: Atlantic Cities
As of 2023, 27.3 percent of California's population were born in a country other than the United States. New Jersey, New York, Florida, and Nevada rounded out the top five states with the largest population of foreign born residents in that year. For the country as a whole, 14.3 percent of residents were foreign born.
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There are three components of change: births, deaths, and migration. The change in the population from births and deaths is often combined and referred to as natural increase or natural change. Populations grow or shrink depending on if they gain people faster than they lose them. Looking at an area’s unique combination of natural change and migration helps us understand why its population is changing, and how quickly the change is occurring.Natural IncreaseNatural change is the difference between births and deaths in a population. Often times, natural change is positive, which means that more babies are being born than people are dying. This positive natural change is referred to as natural increase. Examples of natural increase exist across the United States, one being the Salt Lake City metro area in Utah. Between 2014 and 2015, Salt Lake City had around 19,100 births and 6,400 deaths. Since there were about 12,700 more births than deaths, Salt Lake City had a natural increase of about 12,700 people, making natural increase a key reason why its population grew over the year.The opposite of natural increase is called natural decrease, where more people are dying than babies being born, which can cause a population to shrink. Areas with aging populations often have natural decrease. Two states had natural decrease between 2014 and 2015, Maine and West Virginia. Between 2014 and 2015, Maine had 450 more deaths than births and West Virginia had 940 more deaths than births. In both cases, natural decrease was one of the reasons why their populations shrank between 2014 and 2015 in our latest estimates.MigrationMigration is the movement of people from one area to another. It is often expressed as net migration, which is the difference between how many people move into and out of an area. When net migration is positive, a population has more people moving in than out. We split migration into domestic migration and international migration.Domestic migration refers to people moving between areas within the United States, and is often one of the largest contributors to population change. Regionally, the South gains the most net domestic migrants, with roughly 440,000 more people moving into southern states than leaving them between 2014 and 2015. Sometimes net domestic migration is negative, in which case more people are moving away than are moving in. The Chicago metro area in Illinois, Indiana, and Wisconsin lost about 80,000 people through migration between 2014 and 2015, which is consistent with a long-standing pattern of negative net domestic migration for the metro area.International migration refers to people moving into and out of the United States, and consists of a diverse group of people such as foreign-born immigrants from many countries around the world, members of the U.S. Armed Forces, and U.S. citizens working abroad. Some areas, like the Miami metro area in Florida, grow (in part) due to net international migration. Miami gained about 70,000 net international migrants between 2014 and 2015, making net international migration a major factor in Miami’s population growth.
According to a survey conducted in the United States, about two in five consumers were most likely to leave a store if metal music was playing inside. Just over a third of survey respondents said the same about gospel, hip-hop, rap, and country music as of 2023. More than 40 percent of Americans said they would enter a store or stay inside longer if pop music was playing.
In the nineteenth and twentieth centuries, the United States was one of the main destinations for Italian emigrants. The largest number of people leaving Italy for the U.S. was registered in **********************************************, particularly in ****, before a sharp decline occurred in 1914 due to the First World War.Nowadays, the U.S. is still one of the main destinations for Italians. More specifically, as of January 2021, *** percent of all Italians moving abroad over the last year went to the United States.
Approximately 41 million people immigrated to the United States of America between the years 1820 and 1957. During this time period, the United States expanded across North America, growing from 23 to 48 states, and the population grew from approximately 10 million people in 1820, to almost 180 million people by 1957. Economically, the U.S. developed from being an agriculturally focused economy in the 1820s, to having the highest GDP of any single country in the 1950s. Much of this expansion was due to the high numbers of agricultural workers who migrated from Europe, as technological advances in agriculture had lowered the labor demand. The majority of these migrants settled in urban centers, and this fueled the growth of the industrial sector.
American industrialization and European rural unemployment fuel migration The first major wave of migration came in the 1850s, and was fueled largely by Irish and German migrants, who were fleeing famine or agricultural depression at the time. The second boom came in the 1870s, as the country recovered from the American Civil War, and the Second Industrial Revolution took off. The final boom of the nineteenth century came in the 1880s, as poor harvests and industrialization in Europe led to mass emigration. Improvements in steam ship technology and lower fares led to increased migration from Eastern and Southern Europe at the turn of the century (particularly from Italy). War and depression reduces migration Migration to the U.S. peaked at the beginning of the 20th century, before it fluctuated greatly at the beginning of the 20th century. This was not only due to the disruptions to life in Europe caused by the world wars, but also the economic disruption of the Great Depression in the 1930s. The only period between 1914 and 1950 where migration was high was during the 1920s. However, the migration rate rose again in the late 1940s, particularly from Latin America and Asia. The historically high levels of migration from Europe has meant that the most common ethnicity in the U.S. has been non-Hispanic White since the early-colonial period, however increased migration from Latin America, Asia and Africa, and higher fertility rates among ethnic minorities, have seen the Whites' share of the total population fall in recent years (although it is still over three times larger than any other group.
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Job Quits in the United States decreased to 3142 Thousand in June from 3270 Thousand in May of 2025. This dataset includes a chart with historical data for the United States Job Quits.
Romania, Croatia, and Bulgaria were the three EU member states with the highest number of their citizens living abroad in other EU countries, when compared with the size of their national populations. In 2023, an equivalent of 16.5% of the population of Romania lived in other EU states, as the south-eastern European country has seen mass migration since joining the EU in 2007. Interestingly the top three countries were also the last three countries to join the EU, with Bulgaria and Romania joining in 2007 and Croatia in 2013. Germany, Malta and Sweden, on the other hand, had an equivalent of less than one percent of their population living in other EU countries.
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Author: A Myers, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 6Resource type: lessonSubject topic(s): migration, mapsRegion: united statesStandards: Minnesota Social Studies Standards
Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.
Standard 23. The end of the Cold War, shifting geopolitical dynamics, the intensification of the global economy and rapidly changing technologies have given renewed urgency to debates about the United States' identity, values and role in the world. (The U.S. in a New Global Age 1980-present)
Standard 5. The characteristics, distribution and migration of human populations on the earth's surface influence human systems (cultural, economic and political systems).
Standard 14. Globalization, the spread of capitalism and the end of the Cold War have shaped a contemporary world still characterized by rapid technological change, dramatic increases in global population and economic growth coupled with persistent economic and social disparities and cultural conflict. (The New Global Era 1989 to Present)Objectives: Students will be able to:
In 2023, it was estimated that more than ********* Brazilians were living outside Brazil. The United States had the largest community, with over ********* Brazilian citizens. Portugal was the second country with the largest Brazilian community, namely ******* citizens. Brazilians abroad The Brazilian community sought economic opportunities in the United States in the 1980s, leading to the establishment of communities in New York and Boston. Facilitated by the common language and Portugal's favorable laws for the Community of Portuguese-speaking countries, Lisbon became the most popular destination in Europe. This city harbors more than ****** Brazilians, with women making up the majority of these. Immigration in Brazil Although more than ********* Brazilians live outside of Brazil, the country has had a positive migration rate since 2010, meaning that more people are arriving than leaving. One factor contributing to this is the current humanitarian crisis in Venezuela, which has increased the number of refugees arriving in Brazil each year.
Sampling Procedure Comment: Probability Sample: Multistage Stratified Random Sample
In response to a records request submitted in part about the forced sterilization of Carrie Buck, the City Clerk of Los Angeles (California) has disclosed documents acknowledging that [1] the State of California passed the nation’s third eugenic sterilization law through which between 1909 and 1979 more than 20,000 Californians were sterilized; [2] California’s eugenics laws authorized medical superintendents in State homes and hospitals to perform “assexualization” (vasectomies for men and salpingectomies for women) on people identified as “affected with mental disease which may have been inherited and is likely to be transmitted to descendants, the various grades of feeblemindedness,” [3] the State of California maintained 12 State homes and hospitals, with very little oversight, that housed thousands of patients that were committed without proper consent during an era when reformers believed that sterilization was an important instrument of public health protection that would reduce the number of “defective” in society, result in cost savings for welfare programs, and only allow “fit” people to become parents; [4] labels of “mental deficiency” and “feeblemindedness” were applied disproportionately to racial and ethnic minorities, people with actual or perceived disabilities, low income people, and women.
According to the Washington Post, “eugenics was a pseudoscience promulgated in the 19th and 20th centuries aiming to improve human genetics. It was used in the United States to justify the forced hospitalization and sterilization of tens of thousands of people based on race, class and perceived ‘feeblemindedness’ and ‘moral delinquency,’ and later by the Nazis to justify the murder of millions of Jews, LGBT people and people with disabilities, among others. Between 1907 and 1979, more than 64,000 Americans were forcibly sterilized by state and local governments. (…) Most, but not all, of those sterilized were poor; most were white, though historians say racism and white supremacy were still driving motivators of these programs. (…) Carrie Buck was born into poverty in Charlottesville in 1906. Her father abandoned the family, and her mother was soon accused of 'immorality' and committed to the Virginia State Colony for Epileptics and Feebleminded — essentially a work camp for White people the state didn’t like. Buck was separated from her siblings and sent to live with a wealthy foster family, who forced her to leave school during sixth grade and serve as a housekeeper in their home. When Buck was 17, she was raped by the nephew of her foster mother and became pregnant. Probably to save face, the family accused her of promiscuity and feeblemindedness, and in 1924, she was committed to the same colony as her mother. Her infant daughter was given to her foster mother. Officials at the colony decided Buck would be the perfect candidate for sterilization. They provided her with an attorney — an avowed eugenicist and friend of the colony director — to file a suit on her behalf. He did a pretty terrible job in court (something Spears’s supporters also allege about her former attorney, Samuel D. Ingham III), and when the case made it to the Supreme Court, he hardly said a thing. Lawyers for Virginia argued the state had a compelling interest in Buck’s ability to have children. In an 8-to-1 decision, the Supreme Court agreed, with Justice Oliver Wendell Holmes famously declaring, 'Three generations of imbeciles are enough.' (Many words now used as mild insults, such as 'moron,' 'imbecile,' and 'idiot,' have a long history of being used as clinical diagnoses.) Buck, along with her mother and her sister, was subsequently sterilized by having her fallopian tubes cut and cauterized. Buck’s daughter died when she was 8…”
As a matter of principle, the Association for the Advancement of Civil Liberties (AACL) unequivocally condemns violence committed against women irrespective of their racial backgrounds, their sexual orientations, their national origins, their religious affiliations and/or their disability status. It is the position of the AACL that [1] women should be able to carry a pregnancy to term if they wish to do so; [2] women should be free from harassment and other undue influence while pregnant; [3] women should be provided emotional, financial, medical and other adequate support if they wish to carry a pregnancy to term; [4] women should be provided emotional, financial, medical and other adequate support if they wish to have an abortion; [5] the decision to carry a pregnancy to term should be left to women as individuals; [6] the decision to have an abortion should be left to women as individuals; [7] women intent on getting an abortion will do so; [8] women are not innately sadists and masochists; [9] women intent on getting an abortion should have access to clinics accredited by the Joint Commission. Be well. Take care. Keep yourselves at arms distance.
Michael Ayele (a.k.a) W Anti-Racist Human Rights Activist Audio-Visual Media Analyst Anti-Propaganda Journalist
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Graph and download economic data for Labor Force Participation Rate - With No Disability, 65 Years and over (LNU01375379) from Jun 2008 to Jul 2025 about 65 years +, disability, participation, civilian, labor force, labor, household survey, rate, and USA.
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United States US: Internally Displaced Persons: New Displacement Associated with Disasters data was reported at 1,686,000.000 Case in 2017. This records an increase from the previous number of 1,107,000.000 Case for 2016. United States US: Internally Displaced Persons: New Displacement Associated with Disasters data is updated yearly, averaging 188,000.000 Case from Dec 2008 (Median) to 2017, with 9 observations. The data reached an all-time high of 2,020,000.000 Case in 2008 and a record low of 1,300.000 Case in 2009. United States US: Internally Displaced Persons: New Displacement Associated with Disasters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. 'New Displacement' refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.; ; The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/); Sum;
https://www.icpsr.umich.edu/web/ICPSR/studies/38325/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38325/terms
The 2019 Census of State and Federal Adult Correctional Facilities (CCF) was the ninth enumeration of state institutions and the sixth enumeration of federal institutions sponsored by the Bureau of Justice Statistics and its predecessors. Earlier censuses were completed in 1979 (ICPSR 7852), 1984 (ICPSR 8444), 1990 (ICPSR 9908), 1995 (ICPSR 6953), 2000 (ICPSR 4021), 2005 (ICPSR 24642), and 2012 (ICPSR 37294). The 2019 CCF consisted of two data collection instruments - one for confinement facilities and one for community-based facilities. For each facility, information was provided on facility operator; sex of prisoners authorized to be housed by facility; facility functions; percentage of prisoners authorized to leave the facility; one-day counts of prisoners by sex, race/ethnicity, special populations, and holding authority; number of walkaways occurring over a one-year period; and educational and other special programs offered to prisoners. Additional information was collected from confinement facilities, including physical security level; housing for special populations; capacity; court orders for specific conditions; one-day count of correctional staff by payroll status and sex; one-day count of security staff by sex and race/ethnicity; assaults and incidents caused by prisoners; number of escapes occurring over a one-year period; and work assignments available to prisoners. Late in the data collection to avoid complete nonresponse from facilities, BJS offered the option of providing critical data elements from the two data collection instruments. These elements included facility operator; sex of prisoners authorized to be housed by facility; facility functions; percentage of prisoners authorized to leave the facility; one-day counts of prisoners by sex, and holding authority. Physical security level was an additional critical data element for confinement facilities. The census counted prisoners held in the facilities, a custody count. Some prisoners who are held in the custody of one jurisdiction may be under the authority of a different jurisdiction. The custody count is distinct from a count of prisoners under a correctional authority's jurisdiction, which includes all prisoners over whom a correctional authority exercises control, regardless of where the prisoner is housed. A jurisdictional count is more inclusive than a prison custody count and includes state and federal prisoners housed in local jails or other non-correctional facilities.
The Census Bureau released revised delineations for urban areas on December 29, 2022. The new criteria (contained in this Federal Register Notice) is based primarily on housing unit density measured at the census block level. The minimum qualifying threshold for inclusion as an urban area is an area that contains at least 2,000 housing units or has a population of at least 5,000 persons. It also eliminates the classification of areas as “urban clusters/urbanized areas”. This represents a change from 2010, where urban areas were defined as areas consisting of 50,000 people or more and urban clusters consisted of at least 2,500 people but less than 50,000 people with at least 1,500 people living outside of group quarters. Due to the new population thresholds for urban areas, 36 urban clusters in California are no longer considered urban areas, leaving California with 193 urban areas after the new criteria was implemented.
The State of California experienced an increase of 1,885,884 in the total urban population, or 5.3%. However, the total urban area population as a percentage of the California total population went down from 95% to 94.2%. For more information about the mapped data, download the Excel spreadsheet here.
Please note that some of the 2020 urban areas have different names or additional place names as a result of the inclusion of housing unit counts as secondary naming criteria.
Please note there are four urban areas that cross state boundaries in Arizona and Nevada. For 2010, only the parts within California are displayed on the map; however, the population and housing estimates represent the entirety of the urban areas. For 2020, the population and housing unit estimates pertains to the areas within California only.
Data for this web application was derived from the 2010 and 2020 Censuses (2010 and 2020 Census Blocks, 2020 Urban Areas, and Counties) and the 2016-2020 American Community Survey (2010 -Urban Areas) and can be found at data.census.gov.
For more information about the urban area delineations, visit the Census Bureau's Urban and Rural webpage and FAQ.
To view more data from the State of California Department of Finance, visit the Demographic Research Unit Data Hub.
In 2023, the resident population of California was ***** million. This is a slight decrease from the previous year, with ***** million people in 2022. This makes it the most populous state in the U.S. Californian demographics Along with an increase in population, California’s gross domestic product (GDP) has also been increasing, from *** trillion U.S. dollars in 2000 to **** trillion U.S. dollars in 2023. In the same time period, the per-capita personal income has almost doubled, from ****** U.S. dollars in 2000 to ****** U.S. dollars in 2022. In 2023, the majority of California’s resident population was Hispanic or Latino, although the number of white residents followed as a close second, with Asian residents making up the third-largest demographic in the state. The dark side of the Golden State While California is one of the most well-known states in the U.S., is home to Silicon Valley, and one of the states where personal income has been increasing over the past 20 years, not everyone in California is so lucky: In 2023, the poverty rate in California was about ** percent, and the state had the fifth-highest rate of homelessness in the country during that same year, with an estimated ** homeless people per 10,000 of the population.
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Objective In the United States, preemption laws enacted by state governments can remove local government authority to enact policy and undermine community self-determination and local democracy. No study to date has evaluated the population, demographic, and socioeconomic characteristics associated with state preemption of public health policies. Our study identifies state characteristics associated with preemption of local paid sick leave, food and nutrition, tobacco control, and firearm safety policies. Methods We conducted a Classification and Regression Tree (CART) analysis using state-level demographic, socioeconomic, and population health indicators from 2009 to 2018 to predict state ceiling preemption of local paid sick leave, food and nutrition, tobacco control, and firearm safety policies. Results Several demographic, economic, political, and health factors best distinguish states with and without preemption in each of the four domains. Total state population was an important characteristic in all four trees and the non-Hispanic Black population was important in three trees. All other age- and race/ethnicity-related demographic variables included were important characteristics in at least one tree. Additionally, adult obesity and flu vaccination were relevant in the paid sick leave tree and firearm-deaths, suicide-deaths, and the unemployment rate were relevant in the firearm safety tree. The relationship between specific factors and preemption in each of the four domains varied depending on the location of the factor within the trees. Conclusions and relevance Specific population, demographic and economic characteristics in a state are associated with the adoption of ceiling preemption of paid sick, food and nutrition, tobacco, and firearm safety laws, but these characteristics vary by domain. Our study identified which populations within groups of states may be affected by preemption. The findings can inform whether preemption laws considered or adopted in a state may also require protective measures for population groups that could be adversely affected by these laws.
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Leisure behaviour, friendships, family, feelings and beliefs, identity, the current situation and vocational training of young people. Sibling situation.
Wave 4
Topics: Leisure behaviour: frequency of different leisure activities (Visiting relatives, cinema, going out, reading, sports club or music club, concert, museum, newspaper reading); hourly expenditure on a typical school day for television, chatting, household work, video or computer games alone and with others.
Friendships: ethnic background of friends; interethnic background of friends; contact with people of selected ethnic origin; migration background; importance of equal education, religion, and ethnic background of the respondent´s own partner for the respondent personally and for his or her parents; boyfriend or girlfriend; details to partner: current activity, type of school attended or highest educational level, ethnic background, denomination, importance of religion for the partner; beginning of the relationship (duration of the relationship); context of getting to know each other (e.g. via friends); partner lives in the same neighbourhood; parents have knowledge of the relationship or have the partner already met; parents already knew each other before start of relationship; family relationships: interest of the family in conversations about the boyfriend or girlfriend; parental interference: request for information about activities and whereabouts at undertakings with the boyfriend or girlfriend, demand for immediate acquaintance of the friend; expected marriage; current boyfriend/girlfriend is first steady relationship; number of previous friends; family rejects relationship expected openness of the family in case of negative attitude towards the friend or to the girlfriend; the family leaves relationship decisions up to the respondent; arranged relationships through the family; demand of the family after termination of the relationship in case of lack of sympathy; preferred marriage age; desired number of children.
Family: migration background of the biological parents; frequency of visits in the country of origin of parents in the last 12 months; employment status of parents in the last 12 months; frequency of pocket money and amount of pocket money.
Feelings and beliefs: life satisfaction (scalometer); discrimination: sympathy scale for selected groups of origin; understanding of gender roles.
Self-assessment of German language skills (speaking, writing); national identity; sense of belonging to another group, and strength of identity; importance of religion to the respondent; self-assessment of the state of health compared to peers; delinquent behavior in the last three months: deliberate destruction of foreign property, stealing, carrying knives or weapon, drunkenness); frequency of hot meal and breakfast; frequency of alcohol consumption, sports, cigarette consumption and drug consumption; body height in centimetres and weight in kilograms; preferred and realistic educational aspiration; expectations for the future in terms of stay in Germany, marriage, children and state of health.
Current situation: school leaving certificate during the last school year; grades in mathematics, German and English in the diploma; overall grade on leaving certificate; current situation; currently visited type of school; branch of cooperative comprehensive school; currently attended class level; frequency of deviant behaviour in school (disputes with teachers, experienced punishment, unauthorized absence from lessons, late arrival); self-efficacy; attitude towards school: importance of good grades.
Vocational training: title of the training occupation (ISCO 2008, ISEI, SIOPS); duration of training; achievement of an additional educational attainment through the training; nature of this educational attainment; amount of training allowance per month (categorised); job title of the current occupation or job; amount of monthly net income (categorized); type of employment contract; start of employment in this occupation (month and year); job is the first job since leaving school; job title of the first job (ISCO 2008, ISEI, SIOPS); active search for a place of training or employment; professional title of the desired profession (ISCO 2008, ISEI, SIOPS).
Additionally coded: international respondent ID; national respondent ID; country of data collection; mode of collection; interview date; flag variable (interview date d...
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The Global Internal Displacement Database (GIDD), maintained by the Internal Displacement Monitoring Centre (IDMC), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the 1998 Guiding Principles, as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.
"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.
"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
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According to figures recently released by the United States Census, America’s largest metro areas are currently gaining population at impressive rates. The growth in these areas is in fact driving much of the population growth across the nation. Upon closer examination of the data, this growth is the result of two very different migrations – one coming from the location choices of Americans themselves, the other shaped by where new immigrants from outside the United States are heading.While many metro areas are attracting a net-inflow of migrants from other parts of the country, in several of the largest metros – New York, Los Angeles., and Miami, especially – there is actually a net outflow of Americans to the rest of the country. Immigration is driving population growth in these places. Sunbelt metros like Houston, Dallas, and Phoenix, and knowledge hubs like Austin, Seattle, San Francisco, and the District of Columbia are gaining much more from domestic migration.This map charts overall or net migration – a combination of domestic and international migration. Most large metros, those with at least a million residents, had more people coming in than leaving. The metros with the highest levels of population growth due to migration are a mix of knowledge-based economies and Sunbelt metros, including Houston, Dallas, Miami, District of Columbia, San Francisco, Seattle, and Austin. Eleven large metros, nearly all in or near the Rustbelt, had a net outflow of migrants, including Chicago, Detroit, Memphis, Philadelphia, and Saint Louis.Source: Atlantic Cities