Austria - Foreign-born population was 2023431.00 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Austria - Foreign-born population - last updated from the EUROSTAT on September of 2025. Historically, Austria - Foreign-born population reached a record high of 2023431.00 in December of 2024 and a record low of 1274901.00 in December of 2010.

This statistic shows development of the foreign-born population in Austria from 2009 until 2018. Since 2009 there has been an overall increase of foreign-born residents in Austria. The peak was in 2018 at approximately *** million people.

Austria AT: International Migrant Stock: Total data was reported at 1,492,374.000 Person in 2015. This records an increase from the previous number of 1,275,992.000 Person for 2010. Austria AT: International Migrant Stock: Total data is updated yearly, averaging 799,941.000 Person from Dec 1960 (Median) to 2015, with 12 observations. The data reached an all-time high of 1,492,374.000 Person in 2015 and a record low of 676,679.000 Person in 1970. Austria AT: International Migrant Stock: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.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: 2012 Revision.;Sum;

Austria AT: Net Migration data was reported at 8,813.000 Person in 2024. This records an increase from the previous number of 4,819.000 Person for 2023. Austria AT: Net Migration data is updated yearly, averaging 18,656.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 157,365.000 Person in 2022 and a record low of -24,253.000 Person in 1975. Austria AT: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.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;

Full edition for scientific use. The Austrian Immigrat Survey 2016 is a supplementary telephone survey to the main survey of the Social Survey Austria (SSÖ) 2016. In the supplementary survey, each 300 migrants in Austria from Turkey and former Yugoslavia were interviewed about their living situation. In order to make comparisons with the Austrian population, some of the questions were the same as asked in the SSÖ main survey.

Population by immigrant background and residential community as of 1.1. of the respective year. From 2017 new municipal codes (LAU2_CODE) due to the dissolution of the administrative district Wien-Umgebung. Recoding table: noe_umcoding_lau2.csv.

Austria AT: International Migrant Stock: % of Population data was reported at 17.466 % in 2015. This records an increase from the previous number of 15.205 % for 2010. Austria AT: International Migrant Stock: % of Population data is updated yearly, averaging 13.088 % from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 17.466 % in 2015 and a record low of 10.293 % in 1990. Austria AT: 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 Austria – Table AT.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;

Immigrants are traditionally seen as hard to survey. Their number is often too small to be analysed via data gained in general population surveys, and registers to identify them are often missing or incomplete. Therefore, researchers are forced to use alternatives for sampling. In the case of the Austrian Immigrant Survey 2016, an onomastic (name-based) approach was used, establishing a sampling frame in a two-step procedure. This article describes the concept and the implementation of the sampling and evaluates the sample that could be realised. Non-probability Telephone interview: CATI

Description: "Statistics of Lower Austria" shows extensive statistical data on the population development of the state of Lower Austria. Using the Open Government data from http://data.noe.gv.at, the following data is processed dynamically and graphically: * Population by age and gender * Population by municipalities - Censuses * Population by gender and municipalities * Live births by sex * Deaths by gender * First names in Lower Austria * Hikes to municipalities * Population by immigrant background The data is animated by pie charts and line charts. This app was developed in cooperation with the state of Lower Austria and the University of Applied Sciences Wiener Neustadt. With the kind support of pilhar.net.

Luxembourg is the European Union member state with the greatest share of its population being citizens of other EU member states, with almost 38 percent of people in the country coming from elsewhere in the EU. The small western European state has become a hub for immigration due to its status as one of the administrative centres of the EU (including being the location of the European Court of Justice and European Investment Bank), a key location for financial services companies, and due to its close proximity population centres of other member states such as France, Germany, and Belgium. Other countries with a large share of their population coming from elsewhere in the EU include Austria, Belgium, and Ireland, three countries which have seen increased intra-EU migration in recent years due to strong work opportunities in international organisations (Belgium and Austria) and multinational companies (Ireland).

Full edition for scientific use. PUMA Surveys consist of separate modules designed and prepared by different principle investigators. This PUMA Survey consists of three modules. Fieldwork was conducted by Statistics Austria. MODUL 1 (Bettina Kubicek, Roman Prem). Die Arbeitswelt befindet sich in einem stetigen Wandel. Neue Technologien, moderne Medien und gesellschaftliche Entwicklungen fordern von Unternehmen und ihren Beschäftigten rasch auf Veränderungen zu reagieren. Um dies leisten zu können, setzen Unternehmen zunehmend auf flexiblere Arbeitsformen. So führten zahlreiche Firmen in den letzten Jahren eine flexible Arbeitsgestaltung ein und gewähren Mitarbeiterinnen und Mitarbeitern mehr Spielraum bei der Entscheidung, wann und wo sie arbeiten. Obgleich flexible Arbeitsformen die Wahlmöglichkeiten der Beschäftigten erhöhen [1], gehen sie auch mit der Anforderung einher, die Arbeit selbständig zu planen, zu strukturieren und mit anderen zu koordinieren [2]. Derartige Regulationsanforderungen können sowohl positive als auch negative Folgen haben. Einerseits bieten sie die Möglichkeit, komplexe Fähigkeiten in der Arbeit einzusetzen und geistig flexibel zu bleiben. Andererseits erfordern sie geistige Anstrengung und erschweren das Abschalten von Arbeit in der Freizeit. Diese ambivalente, d.h. gleichzeitig positive und negative Wirkung von Regulationsanforderungen wurde bisher nur ansatzweise erforscht [3]. Daher untersucht das Modul die Zusammenhänge zwischen Regulationsanforderungen auf der einen Seite und kognitiver Flexibilität bzw. mangelhaftem Abschalten von der Arbeit auf der anderen Seite. Darüber hinaus werden individuelle (Bedürfnis nach kognitiver Auseinandersetzung) und organisationale Rahmenbedingungen (Vorhersagbarkeit der Aufgaben) betrachtet, die diese positiven und negativen Effekte beeinflussen. MODULE 2 (Carolina Plescia, Hyunjin Song). While a great amount of attention is now devoted to the study of the determinants of both anti-immigrant and populist attitudes among the public (e.g., Hainmueller & Hopkins, 2014), the question of whether and how everyday political conversation affects these attitudes remains largely unexplored. A comprehensive understanding of this relationship is important given that political discussion among individuals is considered by many to be one of the most influential sources of individual attitudes (Mutz 1999, 2006; Gastil & Dillard, 1999). With this aim, we assessed the impact of cross-cutting exposure on populist and anti-immigrant attitudes within Austrian context and probed whether this impact depends on political dissimilarity of strong ties as well as on citizens’ willingness to engage in political discussion. MODULE 3 (Laurenz Ennser-Jedenastik, Markus Wagner). During the past decades welfare states in advanced industrial democracies have come under pressure as a result of economic and demographic transformation processes. The question of who gets how much in terms of benefits has thus regained prominence in political debates. One topic that has become politically salient in the deservingness debate is diversity, particularly that between religious groups and that between immigrants and natives. Many people combine generosity towards their in-group with limited support towards out-groups – a view that has been termed welfare chauvinism. Indeed, there is ample empirical evidence that immigrants are viewed as less deserving of welfare benefits than members of the native population. Given the strength of welfare chauvinistic attitudes, we ask whether the immigrant status of a potential welfare recipient affects deservingness perceptions in other domains.

The Immigration and Artistic Practice Collection contains over 140 artworks as well as related tools and materials used by the artists. It also contains 27 oral histories along with photographs and other support material relating to the artistic practice of over 30 immigrant artists living in Victoria.

IntroductionThis paper provides an initial exploration of Ukrainian–Russian bilingualism in the context of the war-affected migration from Ukraine to Austria and Germany. While extensive research exists on various aspects of Ukrainian– Russian bilingualism in relation to Ukraine itself, thus far no studies have been conducted on this bilingualism in the diasporic context, i.e., as a language of the first and subsequential generations with a migrant background in Austria and Germany.MethodsTo address this research gap, our paper examines the language attitudes of two respondent groups with a Ukrainian background in the two countries: migrants and refugees who left Ukraine after 2014 and those who left after Russia’s invasion in February 2022. In the framework of a sociolinguistic survey, we describe their current attitudes regarding the use of Ukrainian and Russian, among others, in relation to the actual and intended use of the language(s) in the multilingual context of migration. The survey eliciting information on demographic information, language proficiency, language attitudes and language use was conducted on 406 Ukrainians in two host countries (Austria: n = 103; Germany: n = 306). First, we compared self-rated proficiency in Ukrainian and Russian as well as attitudes and use of these languages. Second, we applied a network modelling analysis to determine the nature of relationships between these variables.Results and discussionThe results indicated that proficiency in Ukrainian and in Russian were the strongest nodes in the model affecting language use and language attitudes toward the respective languages. Our data analysis focused on the pragmatic and symbolic value of Russian and Ukrainian playing a crucial role in the language vitality in multilingual settings. The paper discusses the imbalanced correlation of the symbolic and pragmatic value of Ukrainian and Russian in the diasporic Ukrainian communities. While Ukrainian has gained a higher symbolic status, Russian maintains a better pragmatic one, despite its negative symbolic status. However, we anticipate that the increasing symbolic value of Ukrainian and the diminishing value of Russian will lead to an increase in the use of Ukrainian also in Russian-dominant bilingual groups of Ukrainian migrants and refugees, even as an insider-code in hermetic minority groups.

Over the time period observed, the number of immigrants to Hungary exceeded the number of those leaving the country. The net migration ranged between *******persons in 2019 and ******individuals in 2020. As of 2023, emigration from Hungary was measured at over 71*****people, with more than *******individuals immigrating to the country. Illegal immigration to Hungary Hungary’s strict asylum policy, which detained large numbers of first-time asylum seekers arriving from conflict zones, gave way to the increasing number of illegal immigrants in 2015. In the same year, almost ****** third-country nationals were found to be illegally present in Hungary. This represented an increase of almost *** percent compared to 2014. When it comes to Hungarians’ opinion on the topic, as of March 2020, over two-thirds of the population found illegal immigration a concerning issue. Emigration from Hungary Average salaries, the cost of living, and the lack of job opportunities led to thousands of Hungarians leaving the country each year. Their primary destinations were other member states of the European Union. Specifically, in 2023, almost ********Hungarians resided in Germany, another ******* in Austria, and *******in the Netherlands.

In 1800, the population of the area of modern-day Hungary was approximately 3.3 million, a figure which would steadily rise in the first two decades of the 19th century, as modernization driven by rising exports of cash crops resulting from the ongoing Napoleonic wars would see Hungary become a major exporter in Europe. The slowing in population growth in the 1920s can be attributed in part to the economic recession which hit Hungary in the years following Napoleon defeat, as a grain prices collapsed, and economic hardship intensified in the country. Hungary would see a small increase in population growth in the 1860s, as the country would merge with the Austria to form Austria-Hungary in 1967. As industrialization would continue to accelerate in Hungary, the country’s population rise even further, reaching just over seven million by 1900.

While Hungary had enjoyed largely uninterrupted growth throughout the 19th century, the first half of the 20th century would see several major disruptions to Hungary’s population growth. Growth would slow greatly in the First World War, as Austria-Hungary would find itself one of the largest combatants in the conflict, losing an estimated 1.8 to 2 million people to the war. Hungary’s population would flatline entirely in the 1940s, as the country would see extensive military losses in the country’s invasion of the Soviet Union alongside Germany, and further loss of civilian life in the German occupation of the country and subsequent deportation and mass-murder of several hundred thousand Hungarian Jews. As a result, Hungary’s population would remain stagnant at just over nine million until the early 1950s.

After remaining stagnant for over a decade, Hungary’s population would spike greatly in the early 1950s, as a combination of a tax on childlessness and strict contraception restrictions implemented by then-Minister of Public Welfare Anna Ratkó would lead to a dramatic expansion in births, causing Hungary’s population to rise by over half a million in just five years. However, this spike would prove only temporary, as the death of Stalin in 1953 and subsequent resignation of much of the Stalinist regime in Hungary would see an end to the pro-natalist policies driving the spike. From 1980 onward, however, Hungary’s population would begin to steadily decline, as a sharp reduction in birth rates, combined with a trend of anti-immigrant policies by the Hungarian government, both before and after the collapse of the Soviet bloc, has led Hungary’s population to fall steadily from its 10.8 million peak in 1980, and in 2020, Hungary is estimated to have a population of just over nine and a half million.

国际移民存量：共计在12-01-2015达1,492,374.000人，相较于12-01-2010的1,275,992.000人有所增长。国际移民存量：共计数据按年更新，12-01-1960至12-01-2015期间平均值为799,941.000人，共12份观测结果。该数据的历史最高值出现于12-01-2015，达1,492,374.000人，而历史最低值则出现于12-01-1970，为676,679.000人。CEIC提供的国际移民存量：共计数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的奥地利 – Table AT.World Bank.WDI: Population and Urbanization Statistics。

In 2024, Turkey was the country that hosted the highest amount of Syrian refugees, amounting up to 3.1 million refugees. Lebanon was second, hosting 775,000 Syrian refugees. The data refers to the total number of Syrian refugees in a given country, not considering the date of their application for asylum or the date of their flight.

This survey deals with the attitude of Austrians (aged 20 to 54) towards these topics:->-> The social change and the role of the state for supporting families and measures taken to stop the decline in the birthrate. Attitudes towards marriage, relationships and the compatibility of professional life and raising children.->-> The social standing of elderly people in Austrian society, problems arising from the emerging of an ageing population and attitudes towards retirement age and retirement provision.->->People’s knowledge, opinion and attitude towards immigrants and expectations concerning future migration policy. Probability: Multistage Face-to-face interview