This graph displays the population of Europe in 2017. Germany had the largest population with a total of ***** million inhabitants. This was followed by France and the United Kingdom (UK) at ***** million and ***** million inhabitants respectively.

The average for 2021 based on 27 countries was 148029 sq. km. The highest value was in France: 547557 sq. km and the lowest value was in Malta: 320 sq. km. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

This graph displays the total population size of citizens aged from between 35 and 39 years old in Europe in 2018, by country. That year there were roughly **** million inhabitants of this age group in Germany, which was followed by the United Kingdom and France with approximately **** million and **** million inhabitants respectively.

This graph displays the total population size of citizens aged from between 40 and 44 years old in Europe in 2018, by country. That year there were roughly **** million inhabitants of this age group in Germany, which was followed by Italy and France with approximately **** million and **** million inhabitants respectively.

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This dataset provides values for GDP PER CAPITA PPP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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In 2020, Germany remained the largest population in the European Union with over 83 million inhabitants. Most European countries have a larger female than male population. Only in Ireland, Luxembourg, Malta, Serbia, and Sweden constitute men the majority of inhabitants. Germany had the largest population of both genders in Europe, with 42.1 million women and 41 million men.

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The European Union's total Imports in 2024 were valued at US$2.64 Trillion, according to the United Nations COMTRADE database on international trade. The European Union's main import partners were: China, the United States and the United Kingdom. The top three import commodities were: Mineral fuels, oils, distillation products; Electrical, electronic equipment and Machinery, nuclear reactors, boilers. Total Exports were valued at US$2.80 Trillion. In 2024, The European Union had a trade surplus of US$159.68 Billion.

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The empirical dataset is derived from a survey carried out on 25 estates in 14 cities in nine different European countries: France (Lyon), Germany (Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands (Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain (Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey was part of the EU RESTATE project (Musterd & Van Kempen, 2005). A similar survey was constructed for all 25 estates.

The survey was carried out between February and June 2004. In each case, a random sample was drawn, usually from the whole estate. For some estates, address lists were used as the basis for the sample; in other cases, the researchers first had to take a complete inventory of addresses themselves (for some deviations from this general trend and for an overview of response rates, see Musterd & Van Kempen, 2005). In most cities, survey teams were hired to carry out the survey. They worked under the supervision of the RESTATE partners. Briefings were organised to instruct the survey teams. In some cases (for example, in Amsterdam and Utrecht), interviewers were recruited from specific ethnic groups in order to increase the response rate among, for example, the Turkish and Moroccan residents on the estates. In other cases, family members translated questions during a face-to-face interview. The interviewers with an immigrant background were hired in those estates where this made sense. In some estates it was not necessary to do this because the number of immigrants was (close to) zero (as in most cases in CE Europe).

The questionnaire could be completed by the respondents themselves, but also by the interviewers in a face-to-face interview.

Data and Representativeness

The data file contains 4756 respondents. Nearly all respondents indicated their satisfaction with the dwelling and the estate. Originally, the data file also contained cases from the UK.

However, UK respondents were excluded from the analyses because of doubts about the reliability of the answers to the ethnic minority questions. This left 25 estates in nine countries. In general, older people and original populations are somewhat over-represented, while younger people and immigrant populations are relatively under-represented, despite the fact that in estates with a large minority population surveyors were also employed from minority ethnic groups. For younger people, this discrepancy probably derives from the extent of their activities outside the home, making them more difficult to reach. The under-representation of the immigrant population is presumably related to language and cultural differences. For more detailed information on the representation of population in each case, reference is made to the reports of the researchers in the different countries which can be downloaded from the programme website. All country reports indicate that despite these over- and under-representations, the survey results are valuable for the analyses of their own individual situation.

This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework.

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Russia is the largest country in the world by far, with a total area of just over 17 million square kilometers. After Antarctica, the next three countries are Canada, the U.S., and China; all between 9.5 and 10 million square kilometers. The figures given include internal water surface area (such as lakes or rivers) - if the figures were for land surface only then China would be the second largest country in the world, the U.S. third, and Canada (the country with more lakes than the rest of the world combined) fourth. Russia Russia has a population of around 145 million people, putting it in the top ten most populous countries in the world, and making it the most populous in Europe. However, it's vast size gives it a very low population density, ranked among the bottom 20 countries. Most of Russia's population is concentrated in the west, with around 75 percent of the population living in the European part, while around 75 percent of Russia's territory is in Asia; the Ural Mountains are considered the continental border. Elsewhere in the world Beyond Russia, the world's largest countries all have distinctive topographies and climates setting them apart. The United States, for example, has climates ranging from tundra in Alaska to tropical forests in Florida, with various mountain ranges, deserts, plains, and forests in between. Populations in these countries are often concentrated in urban areas, and are not evenly distributed across the country. For example, around 85 percent of Canada's population lives within 100 miles of the U.S. border; around 95 percent of China lives east of the Heihe–Tengchong Line that splits the country; and the majority of populations in large countries such as Australia or Brazil live near the coast.

The average for 2022 based on 42 countries was 100.8 index points. The highest value was in Turkey: 128.9 index points and the lowest value was in Hungary: 74.7 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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Based on the annual EGR final frame, Eurostat releases aggregated data on multinational enterprise groups as experimental statistics in the following tables:

• Multinational enterprise groups in EU-EFTA countries by controlling country (egr_mne).

Number of multinational enterprise groups having at least one legal unit located in the EU-EFTA by controlling country/area. The controlling area is defined by the location of the Ultimate controlling institutional unit (UCI).

• Persons employed in multinational enterprise groups by size class (egr_emp).

Persons employed (employees and self-employed persons) by multinational enterprise groups in the EU-EFTA countries by controling country/area, main activity and worldwide size class of multinational enterprise groups, and country/area of work.

The percentage of total employment refers to Structural business statistical figures. From 2018-2020 the total employment considers persons working in the non-financial business economy (B to N excluding K). From 2021 onwards, with the SBS extended scope, the total employment considers the person working in the activity B to S excluding O and S94. This change explains the break in the time series.

• Concentration of multinational enterprise groups by NACE Rev. 2 activity (egr_conc).

Share of total employment in EU of the largest MNE groups by NACE activity of the enterprises belonging to the groups. The total employment used Structural business statistical figures.

• Multinational enterprise groups in EU-EFTA countries by controlling country, size class and NACE Rev. 2 activity.

Number of multinational enterprise groups having at least one legal unit located in the EU-EFTA by controlling country/area, main activity and worldwide size class of multinational enterprise groups (egr_mne_n2sc).

• Multinational enterprise groups employment by controlling country group size class NACE Rev. 2 and country of work (egr_mne_empw).

Persons employed (employees and self-employed persons) by multinational enterprise groups by controlling country/area, main activity and worldwide size class of multinational enterprise groups, and country/area of work.

The EGR covers multinational enterprise groups having at least one Legal unit located in the EU Member States or EFTA countries. The EGR includes micro data about the control structures of multinational enterprise groups, their constituent Legal units and corresponding Enterprises. The core variables for multinational enterprise groups, enterprises and legal units, are:

• identification variables,
• demographic events,
• control and ownership,
• stratification parameters, and
• economic variables (e.g., employment, turnover, economic activity code, etc.).

The EGR statistical frame has the purpose to improve the consistency of national statistics on cross border phenomena and thus better measure the economic globalization in the European Union. The EGR offers to the statistical users a tool for coordinating their frame population, for deriving consistent statistical output with improved quality, and for creating new statistical output and breakdowns. This is achieved by allowing microdata linking to many business statistics and providing insights in measuring global activities of European enterprises part of multinational enterprise groups.

The EGR is a statistical business register and can be used for statistical use only by users of the National Statistical Institutes, National Central Banks and the European Central Bank.

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