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.

Of the G7 countries, Canada had the highest crude net migration rate most of the years between 2000 and 2022. In 2023, the net migration ratio of the average population in Canada reached ** per 1,000 inhabitants. On the other hand, the rate in Japan was *** per 1,000 inhabitants. Migration numbers were unusually low in 2020 and 2021 due to the COVID-19 pandemic.

The majority of immigrants in Poland in 2023 were from Ukraine (******), a decrease of ** percent compared to the previous year. Immigration to Poland for different reasons In 2022, nearly ****** people immigrated to Poland for permanent residence, of which most came from Ukraine, the UK, and Germany, respectively. Furthermore, the majority of immigrants for temporary stay in Poland in 2022 were from Ukraine (****** immigrants), a decrease of *** percent compared to the previous year. In 2023, most Ukrainian citizens chose Poland as a place for economic emigration. The main reason for that choice was geographical and cultural proximity. Nearly every second respondent valued the low language barrier, and for every third person, the motivation was earnings. Poles attitudes toward Russia’s war with Ukraine In 2022, most Poles had a negative attitude toward Russia’s invasion of Ukraine. Poles’ biggest concerns about the Russia-Ukraine war were the military threats from Russia and the impact of the war on the condition of the Polish economy. After the Russian invasion of Ukraine in February 2022, Poles proved their support for Ukrainians. One of the most common forms of support for refugees fleeing the Russia-Ukraine war to Poland was to provide blankets, food, and hygiene items. Four out of 10 Poles donated money to a charity fundraiser and volunteered in organizations.

Brazil net migration for 2023 was 6,000, a 6.61% decline from 2022.

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

<li>Brazil net migration for 2022 was <strong>6,425</strong>, a <strong>68.47% decline</strong> from 2021.</li>
<li>Brazil net migration for 2021 was <strong>20,376</strong>, a <strong>64.18% decline</strong> from 2020.</li>
<li>Brazil net migration for 2020 was <strong>56,880</strong>, a <strong>17.79% decline</strong> from 2019.</li>
</ul>Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.

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.

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 ...).

South Africa had the highest number of immigrants among all African countries as of July 2020, hosting *** million people. Côte d'Ivoire followed with *** million international migrants. Among the macro-regions, Eastern Africa hosted the highest number of international migrants in Africa, with **** million. Western Africa followed with some **** million migrants.

Bulgaria BG: Net Migration data was reported at 524.000 Person in 2024. This records a decrease from the previous number of 5,173.000 Person for 2023. Bulgaria BG: Net Migration data is updated yearly, averaging -6,109.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 30,167.000 Person in 2020 and a record low of -120,552.000 Person in 1992. Bulgaria BG: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Population and Urbanization Statistics. Net migration is the net total of migrants during the period, that is, the number of immigrants minus the number of emigrants, including both citizens and noncitizens.;United Nations Population Division. World Population Prospects: 2024 Revision.;Sum;

Version DetailsUpdate of estimates of international migration flows from Abel & Cohen (2019) based on newly published International Migrant Stock (IMS2020) data inputs by the United Nations and the most recent WPP (WPP2019). Also includes a correction for the treatment of Serbia, Montenegro, Sudan and South Sudan as separate countries prior to 2005. During 1990-1995, 1995-2000 and 2000-2005, 2005-2010 periods there are 197 countries, where the old three letter alpha numeric codes for Serbia and Montenegro (SCG) and Sudan (SUD) are used. The combination of these countries follows their representation in United Nations migrant stock data. In periods after 2005-2010 there are 200 countries, where Serbia, Montenegro, Sudan and South Sudan are separate (as in the paper and previous versions) and estimates for Curaçao are also feasible. A description of the changes in the estimates can be found here.See Version 1 (link above) for estimates presented in the paper, based on WPP2017 and IMS2017.Data DetailsRow for each migration corridor - period combination (197 origins x 197 destinations x 4 periods + 200 origins x 200 destinations x 2 periods = 235,236).year0 - first year of five year periodorig - origin ISO three letter country codedest - destination ISO three letter country Columns for estimates based on the following migration flow estimation methods:Stock Differencing Approaches:sd_drop_neg - see for example Beine, M., Docquier, F., & Özden, Ç. (2011). Diasporas. Journal of Development Economics, 95(1), 30–41. https://doi.org/10.1016/j.jdeveco.2009.11.004sd_rev_neg - see for example Beine, M., & Parsons, C. R. (2015). Climatic Factors as Determinants of International Migration. The Scandinavian Journal of Economics, 117(2), 723–767. https://doi.org/10.1111/sjoe.12098Migration Rate Approach:mig_rate - see Dennett, A. (2016). Estimating an Annual Time Series of Global Migration Flows - An Alternative Methodology for Using Migrant Stock Data. In Global Dynamics (pp. 125–142). Chichester, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118937464.ch7Demographic Accounting Approaches:da_min_open - see Abel, G. J. (2013). Estimating global migration flow tables using place of birth data. Demographic Research, 28(March), 505–546. https://doi.org/10.4054/DemRes.2013.28.18da_min_closed - see Abel, G. J. (2018). Estimates of Global Bilateral Migration Flows by Gender between 1960 and 2015. International Migration Review, (Fall), imre.12327. https://doi.org/10.1111/imre.12327da_pb_closed - see Azose, J. J., & Raftery, A. E. (2018). Estimation of emigration, return migration, and transit migration between all pairs of countries. Proceedings of the National Academy of Sciences, 201722334. https://doi.org/10.1073/PNAS.1722334116

Bahamas BS: Net Migration data was reported at 1,018.000 Person in 2024. This records an increase from the previous number of 1,001.000 Person for 2023. Bahamas BS: Net Migration data is updated yearly, averaging 804.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 3,405.000 Person in 1968 and a record low of 0.000 Person in 2020. Bahamas BS: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bahamas – Table BS.World Bank.WDI: Population and Urbanization Statistics. Net migration is the net total of migrants during the period, that is, the number of immigrants minus the number of emigrants, including both citizens and noncitizens.;United Nations Population Division. World Population Prospects: 2024 Revision.;Sum;

Population dynamics, its types. Population migration (external, internal), factors determining it, main trends. Impact of migration on population health.

Under the guidance of Moldoev M.I. Sir By Riya Patil and Rutuja Sonar

Abstract

Population dynamics influence development and vice versa, at various scale levels: global, continental/world-regional, national, regional, and local. Debates on how population growth affects development and how development affects population growth have already been subject of intensive debate and controversy since the late 18th century, and this debate is still ongoing. While these two debates initially focused mainly on natural population growth, the impact of migration on both population dynamics and development is also increasingly recognized. While world population will continue growing throughout the 21st century, there are substantial and growing contrasts between and within world-regions in the pace and nature of that growth, including some countries where population is stagnating or even shrinking. Because of these growing contrasts, population dynamics and their interrelationships with development have quite different governance implications in different parts of the world.

1. Population Dynamics

Population dynamics refers to the changes in population size, structure, and distribution over time. These changes are influenced by four main processes:

Birth rate (natality)

Death rate (mortality)

Immigration (inflow of people)

Emigration (outflow of people)

Types of Population Dynamics

Natural population change: Based on birth and death rates.

Migration-based change: Caused by people moving in or out of a region.

Demographic transition: A model that explains changes in population growth as societies industrialize.

Population distribution: Changes in where people live (urban vs rural).

2. Population Migration

Migration refers to the movement of people from one location to another, often across political or geographical boundaries.

Types of Migration

External migration (international):

Movement between countries.

Examples: Refugee relocation, labor migration, education.

Internal migration:

Movement within the same country or region.

Examples: Rural-to-urban migration, inter-state migration.

3. Factors Determining Migration

Migration is influenced by push and pull factors:

Push factors (reasons to leave a place):

Unemployment

Conflict or war

Natural disasters

Poverty

Lack of services or opportunities

Pull factors (reasons to move to a place):

Better job prospects

Safety and security

Higher standard of living

Education and healthcare access

Family reunification

4. Main Trends in Migration

Urbanization: Mass movement to cities for work and better services.

Global labor migration: Movement from developing to developed countries.

Refugee and asylum seeker flows: Due to conflict or persecution.

Circular migration: Repeated movement between two or more locations.

Brain drain/gain: Movement of skilled labor away from (or toward) a country.

5. Impact of Migration on Population Health

Positive Impacts:

Access to better healthcare (for migrants moving to better systems).

Skills and knowledge exchange among health professionals.

Remittances improving healthcare affordability in home countries.

Negative Impacts:

Migrants’ health risks: Increased exposure to stress, poor living conditions, and occupational hazards.

Spread of infectious diseases: Especially when health screening is lacking.

Strain on health services: In receiving areas, especially with sudden or large influxes.

Mental health challenges: Due to cultural dislocation, discrimination, or trauma.

Population dynamics is one of the fundamental areas of ecology, forming both the basis for the study of more complex communities and of many applied questions. Understanding population dynamics is the key to understanding the relative importance of competition for resources and predation in structuring ecological communities, which is a central question in ecology.

Population dynamics plays a central role in many approaches to preserving biodiversity, which until now have been primarily focused on a single species approach. The calculation of the intrinsic growth rate of a species from a life table is often the central piece of conservation plans. Similarly, management of natural resources, such as fisheries, depends on population dynamics as a way to determine appropriate management actions.

Population dynamics can be characterized by a nonlinear system of difference or differential equations between the birth sizes of consecutive periods. In such a nonlinear system, when the feedback elasticity of previous events on current birth size is larger, the more likely the dynamics will be volatile. Depending on the classification criteria of the population, the revealed cyclical behavior has various interpretations. Under different contextual scenarios, Malthusian cycles, Easterlin cycles, predator–prey cycles, dynastic cycles, and capitalist–laborer cycles have been introduced and analyzed

Generally, population dynamics is a nonlinear stochastic process. Nonlinearities tend to be complicated to deal with, both when we want to do analytic stochastic modelling and when analysing data. The way around the problem is to approximate the nonlinear model with a linear one, for which the mathematical and statistical theories are more developed and tractable. Let us assume that the population process is described as:

(1)Nt=f(Nt−1,εt)

where Nt is population density at time t and εt is a series of random variables with identical distributions (mean and variance). Function f specifies how the population density one time step back, plus the stochastic environment εt, is mapped into the current time step. Let us assume that the (deterministic) stationary (equilibrium) value of the population is N* and that ε has mean ε*. The linear approximation of Eq. (1) close to N* is then:

(2)xt=axt−1+bϕt

where xt=Nt−N*, a=f

f(N*,ε*)/f

N, b=ff(N*,ε*)/fε, and ϕt=εt−ε*

The term population refers to the members of a single species that can interact with each other. Thus, the fish in a lake, or the moose on an island, are clear examples of a population. In other cases, such as trees in a forest, it may not be nearly so clear what a population is, but the concept of population is still very useful.

Population dynamics is essentially the study of the changes in the numbers through time of a single species. This is clearly a case where a quantitative description is essential, since the numbers of individuals in the population will be counted. One could begin by looking at a series of measurements of the numbers of particular species through time. However, it would still be necessary to decide which changes in numbers through time are significant, and how to determine what causes the changes in numbers. Thus, it is more sensible to begin with models that relate changes in population numbers through time to underlying assumptions. The models will provide indications of what features of changes in numbers are important and what measurements are critical to make, and they will help determine what the cause of changes in population levels might be.

To understand the dynamics of biological populations, the study starts with the simplest possibility and determines what the dynamics of the population would be in that case. Then, deviations in observed populations from the predictions of that simplest case would provide information about the kinds of forces shaping the dynamics of populations. Therefore, in describing the dynamics in this simplest case it is essential to be explicit and clear about the assumptions made. It would not be argued that the idealized population described here would ever be found, but that focusing on the idealized population would provide insight into real populations, just as the study of Newtonian mechanics provides understanding of more realistic situations in physics.

Population migration

The vast majority of people continue to live in the countries where they were born —only one in 30 are migrants.

In most discussions on migration, the starting point is usually numbers. Understanding changes in scale, emerging trends, and shifting demographics related to global social and economic transformations, such as migration, help us make sense of the changing world we live in and plan for the future. The current global estimate is that there were around 281 million international migrants in the world in 2020, which equates to 3.6 percent of the global population.

Overall, the estimated number of international migrants has increased over the past five decades. The total estimated 281 million people living in a country other than their countries of birth in 2020 was 128 million more than in 1990 and over three times the estimated number in 1970.

There is currently a larger number of male than female international migrants worldwide and the growing gender gap has increased over the past 20 years. In 2000, the male to female split was 50.6 to 49.4 per cent (or 88 million male migrants and 86 million female migrants). In 2020 the split was 51.9 to 48.1 per cent, with 146 million male migrants and 135 million female migrants. The share of

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 ...).

As of May 2024, a total of *** million Indian migrants were estimated to live in the United States of America, followed by over ***** million in the United Arab Emirates (UAE). India has over ** million overseas Indians living across the world.

UK residents by individual countries of birth and citizenship, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

The data comprises two forms of data collected across four African countries; Ghana, Nigeria, Mozambique and Kenya. These were:

• The results of a business survey administered to both migrant-owned and non-migrant owned businesses in the four case study countries. The survey data is contained within an Excel spreadsheet with responses organised in four separate sheets by case study country. The code '777' is used in individual cells to denote that no answer was given for that particular question.

• Transcripts of, or fieldnotes from, semi-structured interviews with migrants, organisations connected to migration, host nationals working for migrant businesses and selected government Ministries and Departments connected to migration policy in the four case study countries. The interview data is organised by country and sub-divided into five separate folders categorised by key informant group; i) Government Ministries, Departments and Agencies; ii) Civil Society Organisations, iii) Migrant Community Representatives (organisations or leaders); iv) Migrant Business Owners and; v) Host Nationals Working for Migrant Business owners.

After decades of pessimism some African economies have recently experienced the fastest growth rates in the world, though this growth has not yet trickled down to the poorest. The proposed research aims to address one aspect of the challenge of transforming national economic growth into more inclusive growth; namely migration. An outcome of the optimism around Africa is new and more diverse flows of migrants within and to the faster growing African economies. Yet we know very little about these migration flows and whether they offer discernable benefits for African development and redistributive potential. The overarching aim of the project is to understand whether and to what extent recent migration within and to Africa is contributing to more sustainable and inclusive growth on the continent and to enable policy-makers and practitioners to harness this knowledge for more inclusive growth.

The theoretical and policy agenda to which this research speaks is the recognition that migration is a key channel for promoting (inter)national trade, investment and other kinds of financial resources, and transferring technology, skills and knowledge. Our hypothesis is that these contemporary migrant communities have the potential to make important contributions to sustainable and inclusive growth, not only in their countries of origin but also in the African countries where they settle. To assess whether and how such benefits may be occurring we will undertake research in 4 African countries - Nigeria, Ghana, Kenya, and Mozambique - that are on the OECD DAC list. This will examine a range of contemporary migrant groups (including European, emerging power, African diaspora and intra-African) and examine those channels through which they may contribute to inclusive growth in Africa. The sectoral focus will be manufacturing, IT and services since these are sectors where African participation has a higher potential for more inclusive growth. The outcomes will be a more robust sense of the value of inclusive growth as an analytical concept alongside the first multi-country comparative study of contemporary migrant communities on the continent.

The project is also fundamentally concerned with re-shaping policy and practice to support more inclusive growth. It arises out of an ESRC GCRF Network grant that has cemented a strong network of migration researchers with national, continental and international expertise and policy reach. They are the African Migration and Development Policy Centre (Kenya), Network for Migration Research on Africa (Nigeria), The Centre for Migration Studies, Univ. of Ghana and The Centre for Policy Analysis, Eduardo Mondlane Univ. (Mozambique). The current network has engaged, through national workshops, with policy-makers, researchers and migrant businesses to identify learning needs and knowledge gaps. This co-design process informs the current bid and its impact activities. Policy-makers will benefit from improved information about the nature of these new migrant business communities, as well as through capacity building to help officials understand the issues and data sources better. We will also deliver training to African journalists so they can report on migration issues more effectively. Our African co-Is have delivered similar training to officials and journalists on a small scale but this project offers the opportunity to scale this up. Business people from the four African and the migrants' source countries will benefit through networking events organised by local business associations. The general public will benefit from better-informed debate about the costs and benefits of migration. Academics across a range of disciplines will benefit from new knowledge of the nature of these flows and impacts, as well as a wider venture of rethinking debates on the...

People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

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.