Population in The Netherlands on 1 January by sex, age, marital status, generation and migration background.

CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin.

Data available from 1996 to 2022.

Status of the figures: All figures in the table are final.

Changes per 13 January 2023: None, this table was discontinued.

When will new figures be published? No longer applicable. This table is succeeded by the table Population; sex, age, country of origin, country of birth, 1 January. See section 3.

Netherlands Number of Immigrants: Austria data was reported at 801.000 Person in 2017. This records an increase from the previous number of 708.000 Person for 2016. Netherlands Number of Immigrants: Austria data is updated yearly, averaging 362.000 Person from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 801.000 Person in 2017 and a record low of 244.000 Person in 1995. Netherlands Number of Immigrants: Austria data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.G005: Number of Immigrants: by Country.

Population growth in The Netherlands by birth, death and migration by sex and region.

In addition to national data, information is presented by group of provinces, province, COROP region and municipality.

The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Vianen, for example, was annexed by the province of Utrecht on 1 January 2002, and is classified under the province of Utrecht in the Table.

Data available from: 1942

Status of the figures: All data recorded in this publication are final data. Up to 1977 data may differ from other published data on StatLine. This is due to differences between the data files used by Statistics Netherlands and the official data as published in 'Loop van de bevolking per gemeente'.

Changes as of 9 July 2025: Final figures of 2024 have been added.

When will new figures be published? In the 3rd quarter of 2026 figures of 2025 will be added in this table.

This table contains figures on immigration and emigration of persons to and from the Netherlands. The emigration figures include the balance of administrative corrections. Figures on emigration including the balance of the administrative corrections give a better picture of actual emigration than figures on emigration excluding these corrections. The figures on administrative corrections (administrative additions and administrative removals) are also included in the table. The data is broken down by gender, age, country of birth and region. In this table, the data regarding immigration from a country is available if 2500 or more people immigrate to the Netherlands, at any time period in this table. The regions included in the table are parts of the country, provinces, COROP areas and municipalities. The regional totals presented are aggregates of municipalities. In case of border changes that cross several regional borders, the classification of the municipalities is grouped according to the most recent situation. Data available from 2010 to 2021. Status of the figures: All figures included in the table are final. Changes as of May 4, 2023: None, this table has been discontinued. When will new numbers come out? Not applicable anymore. This table is followed by 'Immigration and emigration; gender, age, country of birth, region. See section 3.

Refugees face significant barriers in the labor markets of western countries due to limited transferability of educational credentials. Post-migration education can increase refugees’ chances in the labor market, but little is known about the prevalence and underlying patterns of such post-secondary educational investments. I contribute to the literature by analyzing survey data from the Netherlands on post-migration education among more than 3,000 adult refugees who come from Afghanistan, Iran, Iraq, former Yugoslavia, and Somalia. I find that refugees’ investments in schooling depend on both pre- and post-migration characteristics. Results show that post-migration schooling is more common among adult refugees who are higher educated, who arrived at a younger age, who have applied for recognition of their foreign education, and who have (successfully) participated in integration and/or language courses. When refugees are kept in an asylum center for a longer time, they are less likely to invest in post-migration education.

The most important key figures about population, households, population growth, births, deaths, migration, marriages, marriage dissolutions and change of nationality of the Dutch population.

CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term “migration background” is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin.

Data available from: 1899

Status of the figures: All data in this publication are final data.

Changes as of 15 December 2023: None, this is a new table. This table succeeds the table population; households and population dynamics; 1899-2019. See section 3. The following changes have been made: The underlying topic leaflets about ‘migration background’ have been replaced by ‘Born in the Netherlands’ and ‘Born abroad’; The origin countries Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan and Türkiye have been assigned to the continent of Asia (previously Europe).

When will the new figures be published? The figures for the population development in 2023 and the population on 1 January 2024 will be published in the second quarter of 2024.

The release of formal restrictions on the free movement of Central and Eastern Europeans that started with the end of the Cold War and the eastward enlargement of the European Union in the 2000s have led to new migration flows in Europe. In the Netherlands, in absolute terms, Poles are the largest group amongst emigrants from the central and eastern European countries which accessed the European Union in 2004. The Families of Poles in the Netherlands (FPN) survey aims to develop a database which allows examining different aspects of Polish migrant family life, including family formation, generational interdependencies, espoused family obligations and life outcomes.The sampling frame of the FPN study was population registers (Basisregistratie Personen, BRP). Names and addresses of sample members were drawn by Statistics Netherlands based on the following criteria: the potential respondent was born in Poland, registered in the Netherlands for the first time in 2004 or later, and was between 18 and 49 years old at the time of the most recent registration. In total 1131 Polish migrants participated in the survey. The fieldwork started in October 2014 and lasted until the end of April 2015.A blueprint for the survey is the questionnaire of the Generations and Gender Surveys (GGS). The FPN data can be thus matched with the Polish and Dutch GGS, and Onderzoek Gezinsvorming data (OG; a longitudinal data on fertility and family formation executed in the Netherlands) to reveal the impact of contextual and policy influences on, among others, family relationships.To study the determinants of family solidarity and migration choices, following changes in respondents’ situations over time is necessary. Therefore, the FPN has a panel character – the second wave of the survey will be repeated in 2017.The FPN survey was carried out by the Erasmus University Rotterdam and is a part of Pearl Dykstra’s ERC Advanced Investigator project “Families in Context”. Financial support from the European Research Council, Advanced Investigator Grant “Families in Context” (grant agreement no. 324211) is gratefully acknowledged.The data from the FPN are accessible via the DANS website to researchers affiliated with academic and (semi-)government organizations. No one has any exclusive right or priority to use the FPN to work on any research question.

While tuberculosis (TB) represents a significant disease burden worldwide, low-incidence countries strive to reach the WHO target of pre-elimination by 2035. Screening for TB in immigrants is an important component of the strategy to reduce the TB burden in low-incidence settings. An important option is the screening and preventive treatment of latent TB infection (LTBI). Whether this policy is worthwhile depends on the extent of transmission within the country, and introduction of new cases through import. Mathematical transmission models of TB have been used to identify key parameters in the epidemiology of TB and estimate transmission rates. An important application has also been to investigate the consequences of policy scenarios. Here, we formulate a mathematical model for TB transmission within the Netherlands to estimate the size of the pool of latent infections, and to determine the share of importation–either through immigration or travel- versus transmission within the Netherlands. We take into account importation of infections due to immigration, and travel to the country of origin, focusing on the three ethnicities most represented among foreign-born TB cases (after exclusion of those overrepresented among asylum seekers): Moroccans, Turkish and Indonesians. We fit a system of ordinary differential equations to the data from the Netherlands Tuberculosis Registry on (extra-)pulmonary TB cases from 1995–2013. We estimate that about 27% of Moroccans, 25% of Indonesians, and 16% of Turkish, are latently infected. Furthermore, we find that for all three foreign-born communities, immigration is the most important source of LTBI, but the extent of within-country transmission is much lower (about half) for the Turkish and Indonesian communities than for the Moroccan. This would imply that contact investigation would have a greater yield in the latter community than in the former. Travel remains a minor factor contributing LTBI, suggesting that targeting returning travelers might be less effective at preventing LTBI than immigrants upon entry in the country.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the Netherlands. Power Plant emissions from all power plants in the Netherlands were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

Key figures on fertility, live and stillborn children and multiple births among inhabitants of The Netherlands. Available selections: - Live born children by sex; - Live born children by age of the mother (31 December), in groups; - Live born children by birth order from the mother; - Live born children by marital status of the mother; - Live born children by migration background of the mother; - Stillborn children by duration of pregnancy; - Births: single and multiple; - Average number of children per female; - Average number of children per male; - Average age of the mother at childbirth by birth order from the mother; - Average age of the father at childbirth by birth order from the mother. CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin. Data available from: 1950 Most of the data is available as of 1950 with the exception of the live born children by migration background of the mother (from 1996), stillborn children by duration of pregnancy (24+) (from 1991), average number of children per male (from 1996) and the average age of the father at childbirth (from 1996). Status of the figures: All data recorded in this publication are final data. Changes per 6 November 2023: None, this table was discontinued. When will new figures be published? No longer applicable. This table is succeeded by the table 'Births; key figures'. See section 3.

Statistics Netherlands collects data about people in the Netherlands from various registers. This table contains information on non-Dutch immigrants aged 16 to 65 who settled in the Netherlands between 1999 and 2003. The information consists of data on the migration motive, year of residence, gender and the main source of income. In the table, the most important sources of income are expressed per migration motive as a percentage of the total (selected) group with that migration motive. Data available from: 1999 Frequency: discontinued Status of the figures All figures included in the table are final.

Bird tracking - GPS tracking of Western Marsh Harriers breeding near the Belgium-Netherlands border is a species occurrence dataset published by the Research Institute for Nature and Forest (INBO). The dataset contains over 290.000 occurrences (GPS fixes) recorded between 2013 and 2017 by GPS trackers mounted on 6 Western Marsh Harriers breeding near the Belgium-Netherlands border. The trackers are developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl) and allow to study the harriers' habitat use and migration behaviour in great detail. Our bird tracking network is operational since 2013 and is maintained and used by the INBO, the Flanders Marine Institute (VLIZ), UvA-BiTS, Ghent University (UGent), and the University of Antwerp (UA). See the dataset metadata for contact information, scope, and methodology. Issues with the dataset can be reported at https://github.com/inbo/data-publication/tree/master/datasets/bird-tracking-wmh-occurrences The following information is not included in the dataset and available upon request: outliers, speed, temperature, barometric pressure, GPS metadata (fix time, number of satellites used, vertical accuracy), and bird weight measured during tagging. To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/rbguhj) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO. The bird tracking network used to collect these data is set up and maintained by the INBO and VLIZ as part of the Flemish contribution to LifeWatch.

This table shows the number of temporary residence permits granted for the first time. Permits are differentiated by purpose and the nationality of the persons concerned. Permits are differentiated by purpose and the nationality of the persons concerned. This table contains both asylum permits and ordinary residence permits. Ordinary permits are given to non-Dutch persons mainly for work, study, family reunification, or family formation. Children of non-Dutch persons, born in the Netherlands and not in the possession of the Dutch nationality also need a residence permit. Since April 2014, the Dutch Immigration and Naturalisation Service also issues combined permits for residence and work: single permits (GGVA). These are included in the table since 2014. All permits in the table have a validity period of three months or more.

Data available from: 2008.

Status of the figures: The figures up to 2023 are final. The figures for 2024 are provisional.

Changes as of July 2025: The figure for the single permits (GVVA) has been added to the provisional figures for 2024.

When will new figures be published? The new figures for 2025 will be available in June 2026.

The effects of social levelling within the welfare state on the perception of the employed with lower incomes on their position and welfare. Way of contacting the respondent / number of employees working in the business where the respondent works / type of work: distasteful circumstances, irregular shifts, uncertain income, following courses for work in leisure time, financial risks, not enough people who want to do respondents job, experience and special qualifications are very important / respondent likes his job / for-against black economy, work on the side / frequency of work on the side in the Netherlands / acceptable earnings of work on the side in combination with job / respondent or member of household did ever work on the side / contacts with and size of circle of family, friends and acquaintances / any persons entitled to a benefit or immigrantse among the family, friends and acquaintances / identification with social group / persons entitled to a benefit or immigrants in the neighbourhood / active participation in a case of interest / ranking of activities in order of time spenditure / satisfaction about dwelling, social rights, health, education, respect of others, standard of living, possibilities for meeting people, neighbours, social position / statements about social injustice, about comparison of unemployed and employed with lower incomes / enough to say about work / work ethics / respondent had enough chances to get a fitting job / improvement of financial position of people with lower income / rights, duties and chances of unemployed / social benefits should rise-decline / abuse of social security benefits / preferential policy for immigrants / attitude towards immigrants / three most important social problems in the Netherlands / differences in income / actions in case of injustice of government / influence on political decisions / people living in poverty / detailed questions about personal and household income and spenditure / satisfaction with income / worrying about money / expectations about welfare of household, unemployment in the Netherlands, position of children in future / worrying about own future. Background variables: basic characteristics / housing situation / household characteristics / occupation / employment / income / capital assets / education / social class / politics / religion / organizational membership