The population of Europe was estimated to be 745 million in 2024, an increase of around 4 million when compared with 2012. Over 35 years between 1950 and 1985, the population of Europe grew by approximately 157.8 million. But 35 years after 1985 it was estimated to have only increased by around 38.7 million. Since the 1960s, population growth in Europe has fallen quite significantly and was even negative during the mid-1990s. While population growth has increased slightly since the low of -0.07 percent in 1998, the growth rate for 2020 was just 0.04 percent. Which European country has the biggest population? As of 2024, the population of Russia was estimated to be approximately 144.8 million and was by far Europe's largest country in terms of population, with Turkey being the second-largest at over 87 million. While these two countries both have territory in Europe, however, they are both only partially in Europe, with the majority of their landmasses being in Asia. In terms of countries wholly located on the European continent, Germany had the highest population at 84.5 million, and was followed by the United Kingdom and France at 69.1 million and 66.5 million respectively. Characteristics of Europe's population There are approximately 384.6 million females in Europe, compared with 359.5 million males, a difference of around 25 million. In 1950, however, the male population has grown faster than the female one, with the male population growing by 104.7 million, and the female one by 93.6 million. As of 2024, the single year of age with the highest population was 37, at 10.6 million, while in the same year there were estimated to be around 136 thousand people aged 100 or over.

The dataset provides country-wise population figures for European countries, organized by year (as of the 1st of January of every year). It offers a comprehensive collection of data, allowing users to track population changes and trends across European nations over a ten-year period.

Columns

• Country
• Population 2013
• Population 2014
• Population 2015
• Population 2016
• Population 2017
• Population 2018
• Population 2019
• Population 2020
• Population 2021
• Population 2022

This statistic displays the employment rates of European countries shown as a percentage of the total population of each European country in 2016. Iceland has the highest rate of employment in Europe with **** percent of the total population in work, despite having the smallest working population. This was followed by Switzerland at ** percent and Sweden at **** percent.

This dataset shows different breakdowns of London's resident population by their country of birth. Data used comes from ONS' Annual Population Survey (APS). The APS has a sample of around 320,000 people in the UK (around 28,000 in London). As such all figures must be treated with some caution. 95% confidence interval levels are provided. Numbers have been rounded to the nearest thousand and figures for smaller populations have been suppressed. Four files are available for download: Country of Birth - Borough: Shows country of birth estimates in their broad groups such as European Union, South East Asia, North Africa, etc. broken down to borough level. Detailed Country of Birth - London: Shows country of birth estimates for specific countries such as France, Bangladesh, Nigeria, etc. available for London as a whole Demography Update 09-2015: A GLA Demography report that uses APS data to analyse the trends in London for the period 2004 to 2014. A supporting data file is also provided. Country of Birth Borough 2004-2016 Analysis Tool: A tool produced by GLA Demography that allows users to explore different breakdowns of country of birth data. An accompanying Tableau visualisation tool has also been produced which maps data from 2004 to 2015. Nationality data can be found here: https://data.london.gov.uk/dataset/nationality Nationality refers to that stated by the respondent during the interview. Country of birth is the country in which they were born. It is possible that an individual’s nationality may change, but the respondent’s country of birth cannot change. This means that country of birth gives a more robust estimate of change over time. Data and Resources Country of Birth - Borough Shows estimates of the population by their country/region of birth by Borough

This statistic shows the total population of the European Union from 2010 to 2025. The population is based on data from the most recent census adjusted by the components of population change produced since the last census, or based on population registers. At the beginning of 2025, the total population of the European Union amounted to approximately 450.38 million inhabitants. See figures for the total population by continent here. The global population The global population is rapidly increasing. Between 1990 and 2015, the global population has increased by around 2 billion people, and it is estimated to have increased by another 1 billion people by 2030. Asia is the continent in the world with the largest population, followed by Africa and Europe. Asia has the two most populous nations in the world: China and India. In 2014, the combined population in China and India amounted to more than 2.6 billion people. The total population in Europe is around 741 million people. As of 2014, about 10.2 percent of the global population lived in Europe. Europe is the continent with the second highest life expectancy at birth in the world. Born in 2013, the average European was estimated to live for around 78 years. Stable economies as well as developing and emerging markets in Europe provide for good living conditions for foreign nationals; seven of the top twenty countries in the world with the largest gross domestic product in 2024 are located in Europe.

Population to 01/01/2016 by country of birth, age and sex

This statistic shows the estimated number of Muslims living in different European countries as of 2016. Approximately **** million Muslims were estimated to live in France, the most of any country listed. Germany and the United Kingdom also have large muslim populations with **** million and **** million respectively.

Each year Eurostat collects demographic data at regional level from EU, EFTA and Candidate countries as part of the Population Statistics data collection. POPSTAT is Eurostat’s main annual demographic data collection and aims to gather information on demography and migration at national and regional levels by various breakdowns (for the full overview see the Eurostat dedicated section). More specifically, POPSTAT collects data at regional levels on:

• population stocks;
• vital events (live births and deaths).

Each country must send the statistics for the reference year (T) to Eurostat by 31 December of the following calendar year (T+1). Eurostat then publishes the data in March of the calendar year after that (T+2).

Demographic data at regional level include statistics on the population at the end of the calendar year and on live births and deaths during that year, according to the official classification for statistics at regional level (NUTS - nomenclature of territorial units for statistics) in force in the year. These data are broken down by NUTS 2 and 3 levels for EU countries. For more information on the NUTS classification and its versions please refer to the Eurostat dedicated pages. For EFTA and Candidate countries the data are collected according to the agreed statistical regions that have been coded in a way that resembles NUTS.

The breakdown of demographic data collected at regional level varies depending on the NUTS/statistical region level. These breakdowns are summarised below, along with the link to the corresponding online table:

NUTS 2 level

• Population by sex, age and region of residence — demo_r_d2jan
• Population on 1 January by age group, sex and region of residence — demo_r_pjangroup
• Live births by mother's age, mother's year of birth and mother's region of residence — demo_r_fagec
• Deaths by sex, age, and region of residence — demo_r_magec

NUTS 3 level

• Population on 1 January by sex, age group and region of residence — demo_r_pjangrp3
• Population on 1 January by broad age group, sex and region of residence — demo_r_pjanaggr3
• Live births (total) by region of residence — demo_r_births
• Live births by five-year age group of the mothers and region of residence — demo_r_fagec3
• Deaths (total) by region of residence — demo_r_deaths
• Deaths by five-year age group, sex and region of residence — demo_r_magec3

This more detailed breakdown (by five-year age group) of the data collected at NUTS 3 level started with the reference year 2013 and is in accordance with the European laws on demographic statistics. In addition to the regional codes set out in the NUTS classification in force, these online tables include few additional codes that are meant to cover data on persons and events that cannot be allocated to any official NUTS region. These codes are denoted as CCX/CCXX/CCXXX (Not regionalised/Unknown level 1/2/3; CC stands for country code) and are available only for France, Hungary, North Macedonia and Albania, reflecting the raw data as transmitted to Eurostat.

For the reference years from 1990 to 2012 all countries sent to Eurostat all the data on a voluntary basis, therefore the completeness of the tables and the length of time series reflect the level of data received from the responsible National Statistical Institutes’ (NSIs) data provider. As a general remark, a lower data breakdown is available at NUTS 3 level as detailed:

• population data are broken down by sex and broad age groups (0-14, 15-64 and 65 or more). The data have this disaggregation since the reference year 2007 for all countries, and even longer for some — demo_r_pjanaggr3
• vital events (live births and deaths) data are available only as totals, without any further breakdown — demo_r_births and demo_r_deaths

Demographic indicators are calculated by Eurostat based on the above raw data using a common methodology for all countries and regions. The regional demographic indicators computed by NUTS level and the corresponding online tables are summarised below:

NUTS 2 level

• Population structure indicators by region of residence (shares of various population age groups, dependency ratios and median age) — demo_r_pjanind2
• Fertility indicators by region of residence — demo_r_find2
• Fertility rates by age and region of residence — demo_r_frate2
• Life table by age, sex and region of residence — demo_r_mlife
• Life expectancy by age, sex and region of residence — demo_r_mlifexp
• Infant mortality rates by region of residence — demo_r_minfind

NUTS 3 level

• Population change - Demographic balance and crude rates at regional level — demo_r_gind3
• Population density by region — demo_r_d3dens
• Population structure indicators by region of residence (shares of various population age groups, dependency ratios and median age) — demo_r_pjanind3
• Fertility indicators by region of residence (total fertility rate, mean age of woman at childbirth and median age of woman at childbirth) — demo_r_find3

Notes:

1) All the indicators are computed for all lower NUTS regions included in the tables (e.g. data included in a table at NUTS 3 level will include also the data for NUTS 2, 1 and country levels).

2) Demographic indicators computed by NUTS 2 and 3 levels are calculated using input data that have different age breakdown. Therefore, minor differences can be noted between the values corresponding to the same indicator of the same region classified as NUTS 2, 1 or country level.

3) Since the reference year 2015, Eurostat has stopped collecting data on area; therefore, the table 'Area by NUTS 3 region (demo_r_d3area)' includes data up to the year 2015 included.

4) Starting with the reference year 2016, the population density indicator is computed using the new data on area 'Area by NUTS 3 region (reg_area3).

This statistic shows the percentage of individuals in selected European countries who had used the internet to play or download games, listen to music or watch streamed TV or videos in 2016. Online media consumption was highest in Norway, with 88 percent of individuals using the internet for these purposes.

BackgroundThis study aimed to investigate the distribution of European Union (EU) healthcare research grants across EU countries, and to study the effect of the potential influencing factors on grant allocation.MethodsWe analysed publicly available data on healthcare research grants from the 7th Framework Programme and the Horizon 2020 Programme allocated to beneficiaries between 2007 and 2016. Grant allocation was analysed at the beneficiary-, country-, and country group-level (EU-15 versus newer Member States, defined as EU-13). The investigated country-level explanatory variables included GDP per capita, population size, overall disease burden, and healthcare research excellence. Grant amounts per 100,000 inhabitants were used as an outcome variable in the regression analyses.ResultsResearch funds were disproportionally allocated to EU-15 versus the EU-13, as 96.9% of total healthcare grants were assigned to EU-15 countries. At the beneficiary level, EU funding was positively influenced by participating in previous grants. The average grant amount per beneficiary was higher for EU-15 organizations. In the multiple regression analysis GDP per capita (p = 0.002) and research excellence (p

The permanent resident population is the reference population for population statistics. The permanent resident population includes:All Swiss nationals having their main place of residence in SwitzerlandForeign nationals who have held a residence or permanent residence permit for a minimum of 12 months.

The population evolves due to certain demographic movements (births, immigrations, deaths and emigrations). Since 2007, the average increase has been over 1%, making Switzerland one of the most dynamic countries in Europe in terms of population growth.The Population and Households Statistics are part of the surveys conducted within the framework of the Federal population census. The statistics provides information regarding population size and composition of the permanent resident population at the end of a year as well as population change during the same year.Features registered:Individuals: date of birth, gender, marital status, citizenship, place of residence, place of birth, place of previous residence, household composition.Foreign nationals: residence permit, duration of stay.For data protection reasons, absolute values ​​from 1 to 3 cannot be given in standard evaluations and are therefore indicated in this data set as a class with the value «3».

The service is in the Swiss coordinate system CH1903+ LV95.

About this Dataset

Dalia Research conducted the first representative poll on basic income across Europe in the Spring of 2016. The results, first presented together with NEOPOLIS at the Future of Work conference in Zurich, showed that two thirds of Europeans would vote for basic income. Dalia's basic income poll is now an annual survey, and the first wave of results from 2016 are now being made public. Although Dalia's latest research on basic income is not yet public, you can visit here to see the results from the most recent Spring 2017 survey.

The study was conducted by Dalia Research in April 2016 on public opinion across 28 EU Member States. The sample of n=9.649 was drawn across all 28 EU Member States, taking into account current population distributions with regard to age (14-65 years), gender and region/country.

Enjoy perusing the dataset and exploring interesting connections between demographics and support for basic income.

Results of the final multiple regression model.

The second European Union Minorities and Discrimination Survey (EU-MIDIS II) was conducted in 2016 by the European Union Agency for Fundamental Rights (FRA) as a follow-up to the first survey on minorities´ and immigrants´ experiences of discrimination and criminal victimisation conducted by the Agency in 2008. The EU-MIDIS II survey collected information from 25,515 respondents from different ethnic minority and migrant backgrounds, including Roma, in all EU Member States (2016: EU-28 including the UK). The EU-MIDIS II sample is representative of the selected populations that were interviewed. The sample includes persons belonging to ethnic or national minorities, Roma and Russians, persons born outside the EU (first generation respondents) and persons with at least one parent born outside the EU (second generation respondents). All respondents were 16 years or older and had lived in a private household for at least 12 months before the interview. People living in institutional settings - for example, hospitals or prisons - were not interviewed.

The selection of groups to be surveyed in each country was based on several criteria, including the size of the target population, the feasibility of surveying the target population in terms of cost and accessibility, the risk of certain groups experiencing ´racial´, ´ethnic´ or ´religious´ discrimination and victimisation, their vulnerability to the risk of social exclusion and, finally, comparability with previous FRA surveys. The target groups of the EU-MIDIS II survey are immigrants and descendants of immigrants from North Africa; immigrants and descendants of immigrants from Turkey; immigrants and descendants of immigrants from Sub-Saharan Africa; immigrants and descendants of immigrants from Asia and South Asia; new immigrants; Roma; members of the Russian minority. In Slovenia and Poland, people who immigrated to the EU in the last 10 years were included, regardless of country of origin. The fieldwork was conducted between September 2015 and September 2016 by Ipsos MORI under the supervision of FRA staff who monitored compliance with strict quality control procedures.

The questionnaire includes questions on perceived discrimination in various areas, such as employment, education, housing, health and in the use of public or private services. It also covers police checks, criminal victimisation (including hate crime), and awareness of rights and of institutions that provide victim support. In addition, respondents were asked about issues of social participation and integration, including trust in public institutions and the degree of attachment to the country in which they live.

This statistic shows the leading countries of origin of refugees coming to Europe from 2010 to 2016. During this time period, there were estimated to be ******* refugees coming from Syria, the most of any country by far. The outbreak of civil war in Syria from 2011 onwards has no doubt contributed to this large displacement of the Syrian population.

Themen: Anzahl der beruflichen oder privaten Reisen in 2015 mit einer Abwesenheit von mindestens einer Nacht; Dauer der privaten Reisen; Häufigkeit der Nutzung der folgenden Unterkunftsarten für Reisen unterschiedlicher Länge: bezahlte kommerzielle Unterkunft, bezahlte private Unterkunft, eigenes Ferienhaus oder Ferienwohnung, Freunde oder Verwandte, Campingplatz; Häufigkeit der folgenden Urlaubsarten in 2015 mit unterschiedlicher Länge: All-inclusive Urlaub, andere Pauschalreisen, unabhängig voneinander gebuchte Leistungen; Hauptgründe, aus denen kein Urlaub gemacht wurde; Land, in dem der Haupturlaub verbracht wurde; andere bereiste Länder; Hauptgründe, aus denen Urlaub gemacht wurde; Buchungsmethode: über kommerzielle Onlinedienste mit Wohnungsangeboten von Privatpersonen, über andere kommerzielle Onlinedienste (z.B. Reiseveranstalter, Fluggesellschaften etc.), per Telefon, im Reisebüro, über Bekannte, über ein Verkehrsunternehmen, vor Ort; Hauptgründe für erneuten Urlaub am selben Ort: Qualität der Unterkunft, Natur, allgemeines Preisniveau, Begrüßung der Gäste, Angebot an Aktivitäten und Dienstleistungen, Kultur und Geschichte, Einrichtungen für Personen mit besonderen Bedürfnissen; Zufriedenheit mit ausgewählten Aspekten des Haupturlaubs 2015: Qualität der Unterkunft, Sicherheit der Unterkunft, Natur, allgemeines Preisniveau, Begrüßung der Gäste, Angebot an Aktivitäten und Dienstleistungen, Einrichtungen für Personen mit besonderen Bedürfnissen; Reiseart: alleine, mit Partner, mit Familie (nur Erwachsene oder mit Kindern), mit Freunden, mit einer organisierten Gruppe; Wichtigkeit der folgenden Aspekte in Bezug auf die Wahl des Reiseziels des Haupturlaubs 2015: Maßnahmen für umweltfreundlichen Tourismus am Zielort, Maßnahmen der Unterkunft für umweltfreundlichen Tourismus, Erreichbarkeit mit umweltfreundlichen Verkehrsmitteln, Zertifizierung für umweltfreundliche Maßnahmen; Änderung der Reisepläne in 2015 aufgrund von: Flüchtlingskrise, Terroranschlägen in jüngster Vergangenheit, terroristische Bedrohungen, soziale oder politische Instabilität, Kriminalität, Naturkatastrophen; hauptsächliche Informationsquellen für die Reiseplanung; geplante Dauer der Urlaube in 2016; Land, in dem Haupturlaub 2016 verbracht werden soll; andere Länder, die in 2016 besucht werden sollen; Auswirkungen der momentanen wirtschaftlichen Lage auf die Urlaubspläne für 2016. Demographie: Alter; Geschlecht; Staatsangehörigkeit; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Land; Interviewmodus (Mobiltelefon oder Festnetz); Nationengruppe; Gewichtungsfaktor. Travel preferences and tourism. Topics: number of travels in 2015 for professional or for personal purposes with a minimum of one night away; duration of personal travels; frequency of using the following types of accommodation for periods of different length: paid commercial accommodation, paid private accommodation, own property or second home, friends or relatives, camping site; frequency of the following types of holiday in 2015 for periods of different length: all-inclusive holiday, other types of package travel, tourism services purchased separately; main reasons for not having gone on holiday; country in which main holiday was spent; other countries visited; main reasons for having gone on holiday; booking method: online commercial services listing private housing offers, other online commercial services (such as tour operators, airline companies, etc.), by phone, in a travel agency, through an acquaintance, via a transportation company, on-site; main reasons for visiting the same place twice: quality of accommodation, nature, general price level, tourist welcome policy, availability of activities and services, culture and history, facilities for people with special needs; satisfaction with selected issues of main holiday in 2015: quality of accommodation, safety of accommodation, nature, general price level, tourist welcome policy, availability of activities and services, facilities for people with special needs; way of traveling: alone, with partner, with family (adults only or with children), with friends, with an organised group; importance of the following aspects with regard to the choice of destination of the main holiday 2015: environmentally-friendly practices of local destination, environmentally-friendly tourism practices of accommodation, accessibility by environmentally-friendly means of transportation, certified environmentally-friendly practices; change of travel plans in 2015 due to: refugee crisis, recent terrorist attacks, terrorist threats, social or political instability, criminality, natural disasters; most important source of information when planning travels; planned duration of holidays in 2016; country in which main holiday in 2016 is planned to be spent; other countries planned to be visited in 2015; impact of the current economic situation on holiday plans for 2016. Demography: age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size. Additionally coded was: respondent ID; country; type of phone line; nation group; weighting factor. Telephone interview: CATI Bevölkerung der jeweiligen Nationalitäten der Mitgliedsstaaten der EU, wohnhaft in den jeweiligen Mitgliedsstaaten, im Alter von 15 Jahren und älter. Die Befragung wurde ebenfalls in drei Beitrittskandidatenländern (Türkei, Mazedonien und Montenegro) sowie in Island und Moldawien durchgeführt. Die Befragung umfasst die nationale Bevölkerung sowie die Bürger aller Mitgliedsstaaten der Europäischen Union, die in den jeweiligen Ländern wohnhaft sind und über zum Ausfüllen des Fragebogens ausreichende Kenntnis der Landessprache verfügen. Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 28 Member States and aged 15 years and over. It was also conducted in three candidate countries (Turkey, the Former Yugoslav Republic of Macedonia, and Montenegro) and in Iceland and Moldova. The survey covers the national population of citizens as well as the population of citizens of all the European Union Member States that are residents in these countries and have a sufficient command of the national languages to answer the questionnaire.

Each year Eurostat collects demographic data at regional level from EU, EFTA and Candidate countries as part of the Population Statistics data collection. POPSTAT is Eurostat’s main annual demographic data collection and aims to gather information on demography and migration at national and regional levels by various breakdowns (for the full overview see the Eurostat dedicated section). More specifically, POPSTAT collects data at regional levels on:

• population stocks;
• vital events (live births and deaths).

Each country must send the statistics for the reference year (T) to Eurostat by 31 December of the following calendar year (T+1). Eurostat then publishes the data in March of the calendar year after that (T+2).

Demographic data at regional level include statistics on the population at the end of the calendar year and on live births and deaths during that year, according to the official classification for statistics at regional level (NUTS - nomenclature of territorial units for statistics) in force in the year. These data are broken down by NUTS 2 and 3 levels for EU countries. For more information on the NUTS classification and its versions please refer to the Eurostat dedicated pages. For EFTA and Candidate countries the data are collected according to the agreed statistical regions that have been coded in a way that resembles NUTS.

The breakdown of demographic data collected at regional level varies depending on the NUTS/statistical region level. These breakdowns are summarised below, along with the link to the corresponding online table:

NUTS 2 level

• Population by sex, age and region of residence — demo_r_d2jan
• Population on 1 January by age group, sex and region of residence — demo_r_pjangroup
• Live births by mother's age, mother's year of birth and mother's region of residence — demo_r_fagec
• Deaths by sex, age, and region of residence — demo_r_magec

NUTS 3 level

• Population on 1 January by sex, age group and region of residence — demo_r_pjangrp3
• Population on 1 January by broad age group, sex and region of residence — demo_r_pjanaggr3
• Live births (total) by region of residence — demo_r_births
• Live births by five-year age group of the mothers and region of residence — demo_r_fagec3
• Deaths (total) by region of residence — demo_r_deaths
• Deaths by five-year age group, sex and region of residence — demo_r_magec3

This more detailed breakdown (by five-year age group) of the data collected at NUTS 3 level started with the reference year 2013 and is in accordance with the European laws on demographic statistics. In addition to the regional codes set out in the NUTS classification in force, these online tables include few additional codes that are meant to cover data on persons and events that cannot be allocated to any official NUTS region. These codes are denoted as CCX/CCXX/CCXXX (Not regionalised/Unknown level 1/2/3; CC stands for country code) and are available only for France, Hungary, North Macedonia and Albania, reflecting the raw data as transmitted to Eurostat.

For the reference years from 1990 to 2012 all countries sent to Eurostat all the data on a voluntary basis, therefore the completeness of the tables and the length of time series reflect the level of data received from the responsible National Statistical Institutes’ (NSIs) data provider. As a general remark, a lower data breakdown is available at NUTS 3 level as detailed:

• population data are broken down by sex and broad age groups (0-14, 15-64 and 65 or more). The data have this disaggregation since the reference year 2007 for all countries, and even longer for some — demo_r_pjanaggr3
• vital events (live births and deaths) data are available only as totals, without any further breakdown — demo_r_births and demo_r_deaths

Demographic indicators are calculated by Eurostat based on the above raw data using a common methodology for all countries and regions. The regional demographic indicators computed by NUTS level and the corresponding online tables are summarised below:

NUTS 2 level

• Population structure indicators by region of residence (shares of various population age groups, dependency ratios and median age) — demo_r_pjanind2
• Fertility indicators by region of residence — demo_r_find2
• Fertility rates by age and region of residence — demo_r_frate2
• Life table by age, sex and region of residence — demo_r_mlife
• Life expectancy by age, sex and region of residence — demo_r_mlifexp
• Infant mortality rates by region of residence — demo_r_minfind

NUTS 3 level

• Population change - Demographic balance and crude rates at regional level — demo_r_gind3
• Population density by region — demo_r_d3dens
• Population structure indicators by region of residence (shares of various population age groups, dependency ratios and median age) — demo_r_pjanind3
• Fertility indicators by region of residence (total fertility rate, mean age of woman at childbirth and median age of woman at childbirth) — demo_r_find3

Notes:

1) All the indicators are computed for all lower NUTS regions included in the tables (e.g. data included in a table at NUTS 3 level will include also the data for NUTS 2, 1 and country levels).

2) Demographic indicators computed by NUTS 2 and 3 levels are calculated using input data that have different age breakdown. Therefore, minor differences can be noted between the values corresponding to the same indicator of the same region classified as NUTS 2, 1 or country level.

3) Since the reference year 2015, Eurostat has stopped collecting data on area; therefore, the table 'Area by NUTS 3 region (demo_r_d3area)' includes data up to the year 2015 included.

4) Starting with the reference year 2016, the population density indicator is computed using the new data on area 'Area by NUTS 3 region (reg_area3).

This statistic shows the leading countries of origin of migrants to Europe from 2010 to 2016. As can be seen there were estimated to be ******* migrants coming from Syria, the most of any country. The United States is the only western country in this statistic, with almost a quarter of a million Americans estimated to have emigrated to Europe during this time period.

Population forecast at the beginning of 1952 to 2101 by age in 5-year groups, sex and main scenario and country of birth

Table 6 - Alcohol policy measures are an ignored catalyst for achievement of the sustainable development goals