In 2024, Russia had the largest population among European countries at 144.8 million people. The next largest countries in terms of their population size were Turkey at 87.5 million, Germany at 84.5 million, the United Kingdom at 69.1 million, and France at 66.5 million. Europe is also home to some of the world’s smallest countries, such as the microstates of Liechtenstein and San Marino, with populations of 39,870 and 33,581 respectively. Europe’s largest economies Germany was Europe’s largest economy in 2023, with a Gross Domestic Product of around 4.2 trillion Euros, while the UK and France are the second and third largest economies, at 3.2 trillion and 2.8 trillion euros respectively. Prior to the mid-2000s, Europe’s fourth-largest economy, Italy, had an economy that was of a similar sized to France and the UK, before diverging growth patterns saw the UK and France become far larger economies than Italy. Moscow and Istanbul the megacities of Europe Two cities on the eastern borders of Europe were Europe’s largest in 2023. The Turkish city of Istanbul, with a population of 15.8 million, and the Russian capital, Moscow, with a population of 12.7 million. Istanbul is arguably the world’s most famous transcontinental city with territory in both Europe and Asia and has been an important center for commerce and culture for over two thousand years. Paris was the third largest European city with a population of 11 million, with London being the fourth largest at 9.6 million.

In 2024, Germany was the leading EU country in terms of population, with around 85 million inhabitants. In 2050, approximately 89.2 million people will live in Germany, according to the forecast. See the total EU population figures for more information. The global population The global population is rapidly increasing. Between 1990 and 2015, it increased by around 2 billion people. Furthermore, it is estimated that the global population will have increased by another 1 billion by 2030. Asia is the continent with the largest population, followed by Africa and Europe. In Asia,the two most populous nations worldwide are located, China and India. In 2014, the combined population in China and India alone amounted to more than 2.6 billion people. for comparison, the total population in the whole continent of Europe is at around 741 million people. As of 2014, about 60 percent of the global population was living in Asia, with only approximately 10 percent in Europe and even less in the United States. Europe is the continent with the second-highest life expectancy at birth in the world, only barely surpassed by Northern America. In 2013, the life expectancy at birth in Europe was around 78 years. Stable economies and developing and emerging markets in European countries provide for good living conditions. Seven of the top twenty countries in the world with the largest gross domestic product in 2015 are located in Europe.

In 2023, Ukraine had the fastest growing population in Europe. As a result of Ukrainian citizens who had fled Russia's invasion of the eastern European country in 2022 returning to the country in 2023, Ukraine's population grew by 3.68 percent compared to 2022. Excluding this special case, the European countries which saw the greatest population growth in 2023 were Luxembourg, Norway, and Ireland. Overall, Europe's population declined by 0.09 percent in 2022, with this varying by region from a 0.31 percent decline in eastern Europe to an increase of 0.33 percent in northern Europe. All of the countries which saw the largest declines in their population in 2023 were central and eastern European countries which had hosted large numbers of Ukrainian refugees in 2022. Moldova, one of Ukraine's closest neighbours, saw its population decline by 3.6 percent, while Poland's population declined by 2.2 percent, and Slovakia's by 1.8 percent.

The average for 2021 based on 27 countries was 187 people per square km. The highest value was in Malta: 1620 people per square km and the lowest value was in Finland: 18 people per square km. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

In 2020 Germany remained the largest population in the European Union with over 83 million inhabitants. In Germany, France, Spain and Italy most euorpean countries have a larger female then male population. Only in Ireland, Luxembourg, Malta, Serbia and Sweden consitute men the mayority of inhabitants. Germany was the largest population of both genders in Europe, with 42.1 million females and 41 million males.

In 1938, the year before the outbreak of the Second world War, the countries with the largest populations were China, the Soviet Union, and the United States, although the United Kingdom had the largest overall population when it's colonies, dominions, and metropole are combined. Alongside France, these were the five Allied "Great Powers" that emerged victorious from the Second World War. The Axis Powers in the war were led by Germany and Japan in their respective theaters, and their smaller populations were decisive factors in their defeat. Manpower as a resource In the context of the Second World War, a country or territory's population played a vital role in its ability to wage war on such a large scale. Not only were armies able to call upon their people to fight in the war and replenish their forces, but war economies were also dependent on their workforce being able to meet the agricultural, manufacturing, and logistical demands of the war. For the Axis powers, invasions and the annexation of territories were often motivated by the fact that it granted access to valuable resources that would further their own war effort - millions of people living in occupied territories were then forced to gather these resources, or forcibly transported to work in manufacturing in other Axis territories. Similarly, colonial powers were able to use resources taken from their territories to supply their armies, however this often had devastating consequences for the regions from which food was redirected, contributing to numerous food shortages and famines across Africa, Asia, and Europe. Men from annexed or colonized territories were also used in the armies of the war's Great Powers, and in the Axis armies especially. This meant that soldiers often fought alongside their former-enemies. Aftermath The Second World War was the costliest in human history, resulting in the deaths of between 70 and 85 million people. Due to the turmoil and destruction of the war, accurate records for death tolls generally do not exist, therefore pre-war populations (in combination with other statistics), are used to estimate death tolls. The Soviet Union is believed to have lost the largest amount of people during the war, suffering approximately 24 million fatalities by 1945, followed by China at around 20 million people. The Soviet death toll is equal to approximately 14 percent of its pre-war population - the countries with the highest relative death tolls in the war are found in Eastern Europe, due to the intensity of the conflict and the systematic genocide committed in the region during the war.

This horizontal bar chart displays female population (people) by country full name and is filtered where the continent is Europe. The data is about countries.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

The population of Europe was estimated to be 742.2 million in 2023, an increase of around 2.2 million when compared with 2013. 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 2021, the population of Russia was estimated to be approximately 145.9 million and was by far Europe's largest country in terms of population, with Turkey being the second-largest at over 85 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 83.9 million, and was followed by the United Kingdom and France at 68.2 million and 65.4 million respectively.

Characteristics of Europe's population There are approximately 386.5 million females in Europe, compared with 361.2 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 2021, the single year of age with the highest population was 34, at 10.7 million, while in the same year there were estimated to be around 136 thousand people aged 100 or over.

This horizontal bar chart displays urban population (people) by country full name and is filtered where the continent is Europe. The data is about countries.

This dataset provides values for INTERNATIONAL MIGRANT STOCK PERCENT OF POPULATION WB DATA.HTMLES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2023, the Faroe Islands was the European country estimated to have the highest fertility rate. The small Atlantic island state had a fertility rate of 2.71 children per woman. Other small countries such as Monaco and Gibraltar also came towards the top of the list for 2023, while the large country with the highest fertility rate was France, with 1.79 children per woman. On the other hand, Andorra, San Marino, and Malta had the lowest fertility rates in Europe, with Ukraine, Spain, and Italy being the largest countries with low fertility rates in that year, averaging around 1.3 children per woman.

This research, designed by the World Bank, and supported by the Department for International Development (DFID), aims to highlight the unprecedented transformation of the urban systems in the ECA region in the last decades, and to look at this shifts from the demographic, economic, and spatial prospectives. Cities in ECA database comprises data from 5,549 cities in 15 countries of the Eastern Europe and Central Asia region, as defined by the World Bank Group, and from the United Kingdom and Germany. Database information for each city is in three dimensions: demographic, spatial, and economic. The starting point to construct the Cities in ECA database was to obtain from each of the countries the list of official cities and these cities' population data. Population data collected for cities falls on or around three years: 1989, 1999, and 2010 (or the latest year available). The official list of "cities" was geo-referenced and overlaid with globally-available spatial data to produce city-level indicators capturing spatial characteristics (e.g., urban footprint) and proxies for economic activity. City-level spatial characteristics, including urban footprints (or extents) for the years 1996, 2000, and 2010 and their temporal evolution, were obtained from the Global Nighttime Lights (NTL) dataset. City-level proxies for economic activity were also estimated based on the NTL dataset. Nighttime Lights (NLS) data is produced by the Defense Meteorological Satellite Program (DMSP) Optical Line Scanner (OLS) database and maintained by the National Oceanic and Atmospheric Administration (NOAA).

apportionments_pop_2021_pred_2024.xlsx This is a dataset containing prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules we used for calculation. Note: We recommend readers who are not so well informed about apportionment problems and rounding rules see https://www.census.gov/library/video/2021/what-is-apportionment.html or https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html.

Data interpretations for this dataset are as follows. 4 worksheets: all: prediction apportionment results of all configurations under the assumption that the membership remains unchanged and the total number of seats is between 705 (current total number of seats) and 750 (statutory threshold). no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. increase_no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. response: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats while any Member State with a decreasing population does not gain seats; (3) and the total number of seats is between 705 and 750. Meanings of column names: State: name of Member State of the European Union p_2011: population data from the 2011 census (data source: https://ec.europa.eu/eurostat/web/population-demography/population-housing-censuses/database) p_2021: population data from the 2021 census (data source: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_and_housing_census_2021_-_population_grids&stable=1#Distribution_of_European_population) stat_2020: current distribution of seats in the EP (data source: https://www.europarl.europa.eu/news/en/headlines/eu-affairs/20180126STO94114/infographic-how-many-seats-does-each-country-get-in-in-the-european-parliament) other columns: composed in the order of "a", "gamma", "d-rounding rule", and "the total number of seats (S)".

indexes_pop_2021_pred_2024.csv This is a dataset presenting the extent of the PSI-based inequality index (index based on Population Seat Index) and the conventional PSP-based index (index based on the proportion of seats to population) of all prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules used for calculation and the PSI-based index and PSP-based index used for evaluation. Data interpretations for this dataset are as follows. Meanings of column names: a: configuration of the standard function gamma: configuration of the standard function rounding: d-rounding rule used for obtaining a whole number S: the total number of seats in the prediction x_min: the minimum number of seats in the prediction apportionment x_max: the maximum number of seats in the prediction apportionment inequality index: maximum of PSI divided by minimum of PSI psp_max/psp_min: maximum of PSP divided by minimum of PSP

With over 16.4 million foreign persons residing in Germany in 2023, the country had the highest number of foreign-born people living in its territory among the 27 Member States of the European Union. Followed by France with around 8.9 million and Spain at over eight million.

The European Copernicus Coastal Flood Awareness System (ECFAS) project will contribute to the evolution of the Copernicus Emergency Monitoring Service by demonstrating the technical and operational feasibility of a European Coastal Flood Awareness System. Specifically, ECFAS will provide a much-needed solution to bolster coastal resilience to climate risk and reduce population and infrastructure exposure by monitoring and supporting disaster preparedness, two factors that are fundamental to damage prevention and recovery if a storm hits.

The ECFAS Proof-of-Concept development will run from January 2021-December 2022. The ECFAS project is a collaboration between Istituto Universitario di Studi Superiori IUSS di Pavia (Italy, ECFAS Coordinator), Mercator Ocean International (France), Planetek Hellas (Greece), Collecte Localisation Satellites (France), Consorzio Futuro in Ricerca (Italy), Universitat Politecnica de Valencia (Spain), University of the Aegean (Greece), and EurOcean (Portugal), and is funded by the European Commission H2020 Framework Programme within the call LC-SPACE-18-EO-2020 - Copernicus evolution: research activities in support of the evolution of the Copernicus services.

This project has received funding from the European Union’s Horizon 2020 programme

The deliverables will have restricted access at least until the end of ECFAS

Description of the containing files inside the Dataset.

The dataset was divided at European country level, except the Adriatic area which was extracted as a region and not on a country level due to the small size of the countries. The buffer zone of each data was 10km inland in order to be correlated with the new Copernicus product Coastal Zone LU/LC.

Specifically, the dataset includes the new Coastal LU/LC product which was implemented by the EEA and became available at the end of 2020. Additional information collected in relation to the location and characteristics of transport (road and railway) and utility networks (power plants), population density and time variability. Furthermore, some of the publicly available datasets that were used in CEMS related to the abovementioned assets were gathered such as OpenStreetMap (building footprints, road and railway network infrastructures), GeoNames (populated places but also names of administrative units, rivers and lakes, forests, hills and mountains, parks and recreational areas, etc.), the Global Human Settlement Layer (GHS) and Global Human Settlement Population Grid (GHS-POP) generated by JRC. Also, the dataset contains 2 layers with statistics information regarding the population of Europe per sex and age divided in administrative units at NUTS level 3. The first layers includes information fro the whole Europe and the second layer has only the information regaridng the population at the Coastal area. Finally, the dataset includes the global database of Floods protection standars. Below there are tables which present the dataset.

• Adriatic folder contains the countries: Slovenia, Croatia, Montenegro, Albania, Bosnia and Herzegovina

• Malta was added to the dataset

| Copernicus Land Monitoring Service | Resolution | Comment | | Coastal LU/LC | 1:10.000 | A Copernicus hotspot product to monitor landscape dynamics in coastal zones | | EU-Hydro - Coastline | 1:30.000 | EU-Hydro is a dataset for all European countries providing the coastline | | Natura 2000 | 1: 100000 | A Copernicus hotspot product to monitor important areas for nature conservation | | European Settlement Map | 10m | A spatial raster dataset that is mapping human settlements in Europe | | Imperviousness Density | 10m | The percentage of sealed area | | Impervious Built-up | 10m | The part of the sealed surfaces where buildings can be found | | Grassland 2018 | 10m | A binary grassland/non-grassland product | | Tree Cover Density 2018 | 10m | Level of tree cover density in a range from 0-100% |

| Joint Research Center | Resolution | Comment | | Global Human Settlement Population Grid GHS-POP) | 250m | Residential population estimates for target year 2015 | | GHS settlement model layer (GHS-SMOD) | 1km | The GHS Settlement Model grid delineates and classify settlement typologies via a logic of population size, population and built-up area densities | | GHS-BUILT | 10m | Built-up grid derived from Sentinel-2 global image composite for reference year 2018 | | ENACT 2011 Population Grid (ENACT-POP R2020A) | 1km | The ENACT is a population density for the European Union that take into account major daily and monthly population variations | | JRC Open Power Plants Database (JRC-PPDB-OPEN) | - | Europe’s open power plant database | | GHS functional urban areas (GHS-FUA R2019A) | 1km | City and its commuting zone (area of influence of the city in terms of labour market flows) | | GHS Urban Centre Database (GHS-UCDB R2019A) | 1km | Urban Centres defined by specific cut-off values on resident population and built-up surface |

| Additional Data | Resolution | Comment | | Open Street Map (OSM) | - | BF, Transportation Network, Utilities Network, Places of Interest | | CEMS | - | Data from Rapid Mapping activations in Europe | | GeoNames | - | Populated places, Adm. units, Hydrography, Forests, Hills/Mountains, Parks, etc. | | Global Administrative Areas | - | Administrative areas of all countries, at all levels of sub-division | | NUTS3 Population Age/Sex Group | - | Eurostat population by age ansd sex statistics interesected with the NUTS3 Units | | FLOPROS | | A global database of FLOod PROtection Standards, which comprises information in the form of the flood return period associated with protection measures, at different spatial scales |

| This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211 |

The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

The product has been discontinued since: 08 Feb 2018. The indicator compares the level of CO2 emissions per inhabitant in the EU with levels in developing countries, in tonnes per inhabitant. For EU Member States: this indicator is compiled using the data on CO2 emissions (sector 1-7 excluding sector 5 - land use change and forestry) provided in the official submission of the European Commission to the UNFCCC; and per capita emissions are calculated using Eurostat population statistics. For developing countries: this indicator is compiled using fuel combustion related CO2 emissions published by the IEA and per capita emissions are calculated population statistics published by the IEA. Developing countries are here identified with the 'developing countries and territories' on the OECD Development Assistance Committee List of Aid Recipients; for which CO2 emission data are available.

In 2023, Italy and Portugal were the European countries with the largest share of elderly population, with 24 percent of the total population aged 65 years and older. Bulgaria, Czechia, and Finland were the countries with the next highest shares of elderly people in their population, while the European Union on average had 21.3 percent of the population being elderly. Iceland, Luxembourg, and Türkiye had the fewest elderly people, with all three having less than 15 percent of their population in this age category.

In 2024, Italy was the European country with the oldest population, recording a median age of 48.7 years, closely ahead of Bulgaria and Portugal, with 47 years. In general, almost all European countries have a median age above 40 years old. Only Azerbaijan, Turkey, Armenia, and Kosovo had a median age below 35 years old. Kosovo was the youngest territory of the continent in terms of median age.