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

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.

As of 2023, ******* was the largest country in the European Union in terms of population. The central European country comprised almost one-fifth of the total population of the EU in that year, with ****** in second place with ***** percent, and ***** in third at ***** percent. While there are ** member states of the European Union in total, approximately two-thirds of the population of the bloc is made up by the * largest countries: Germany, France, Italy, Spain, Poland, Romania, and the Netherlands. Of the remaining ** member states, no country makes up more than * percent of the EU's total population, with the smallest country, Malta, comprising just **** percent of the total.

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: region, and urban population.

Graph and download economic data for Population Growth for Developing Countries in Europe and Central Asia (SPPOPGROWECA) from 1961 to 2024 about Central Asia, Europe, population, and rate.

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).

It is estimated that Russia had the largest population among Central and Eastern European countries, with ***** million people in 2024. The following largest countries in terms of population size were Poland, with **** million, and Ukraine, with **** million.

This horizontal bar chart displays population (people) by country using the aggregation sum in Europe. The data is about countries.

The average for 2024 based on 47 countries was 51.06 percent. The highest value was in Moldova: 53.99 percent and the lowest value was in Malta: 48.1 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

The average for 2024 based on 27 countries was 74.63 percent. The highest value was in Belgium: 98.22 percent and the lowest value was in Slovakia: 54.17 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

The average for 2024 based on 47 countries was 26.66 percent. The highest value was in Liechtenstein: 85.29 percent and the lowest value was in Gibraltar: 0 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

The purpose of this data package is to offer essential population statistics about European countries covering static and dynamic demographical indicators. The two current sources of information are the International Institute for Applied Systems Analysis (IIASA), from Austria and the U.K. Office for National Statistics.

Graph and download economic data for Population, Total for Developing Countries in Europe and Central Asia (SPPOPTOTLECA) from 1960 to 2024 about Central Asia, Europe, and population.

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.

The average for 2023 based on 27 countries was 272670 refugees. The highest value was in Germany: 2593007 refugees and the lowest value was in Slovenia: 10525 refugees. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2023 based on 47 countries was 0.22 percent. The highest value was in Russia: 1.79 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

This dataset is about countries per year in Europe. It has 2,816 rows. It features 3 columns: country, and population.

Dataset

This dataset was created by Shahules

Contents

Ratio between the annual average population and the land area. The land area concept (excluding inland waters, such as lakes, wide rivers, estuaries) should be used wherever available; if not available, then the total area (including inland waters) is used.

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: currency, and population.