European Average Household Size by Country, 2023 Discover more data with ReportLinker!

In 2024, Slovakia had the highest average household size among EU member states, at 3.1 people per household. By contrast, Finland had the lowest average household size, at 1.9 people per household.

European Household Expenditure on Houseware by Country, 2023 Discover more data with ReportLinker!

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general sociopolitical orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology. This round of Eurobarometer surveys covers the standard modules and the following special topics: (1) The Future of Europe, (2) Awareness of Home Affairs, and (3) E-Communications in the Household. Questions pertain to opinions about EU objectives and policy towards social and economic policy and respondents' awareness of social, economic, and political issues in the EU and its member countries. Other questions pertain to the availability, use, and problems with e-communication tools such as telephones and the internet. Demographic and other background information collected includes age, gender, nationality, marital status, occupation, age when stopped full-time education, household composition, ownership of a fixed or mobile telephone and other durable goods, difficulties paying bills, level within society (self-placed), and Internet use. In addition, country-specific data includes type and size of locality and size of locality, region of residence, and language of interview.

The share of households with internet access in the European Union saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 93.09 percent. Nevertheless, 2023 still represents a peak in the share of households with internet access in the European Union with 93.09 percent. The EU survey on the use of Information and Communication Technologies (ICT) in households and by individuals is an annual survey conducted since 2002 aiming at collecting and disseminating harmonised and comparable information on the use of ICT in households and by individuals. Data presented in this domain are collected on a yearly basis by the National Statistical Institutes and are based on Eurostat's annual model questionnaire. This questionnaire is updated each year to reflect the evolving situation of information and communication technologiesFind more statistics on in the European Union with key insights such as share of urban households with internet access, share of suburban households with internet access, and share of rural households with internet access.

This data set contains estimates of the base rates of 550 food safety-relevant food handling practices in European households. The data are representative for the population of private households in the ten European countries in which the SafeConsume Household Survey was conducted (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, UK).

Sampling design

In each of the ten EU and EEA countries where the survey was conducted (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, UK), the population under study was defined as the private households in the country. Sampling was based on a stratified random design, with the NUTS2 statistical regions of Europe and the education level of the target respondent as stratum variables. The target sample size was 1000 households per country, with selection probability within each country proportional to stratum size.

Fieldwork

The fieldwork was conducted between December 2018 and April 2019 in ten EU and EEA countries (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, United Kingdom). The target respondent in each household was the person with main or shared responsibility for food shopping in the household. The fieldwork was sub-contracted to a professional research provider (Dynata, formerly Research Now SSI). Complete responses were obtained from altogether 9996 households.

Weights

In addition to the SafeConsume Household Survey data, population data from Eurostat (2019) were used to calculate weights. These were calculated with NUTS2 region as the stratification variable and assigned an influence to each observation in each stratum that was proportional to how many households in the population stratum a household in the sample stratum represented. The weights were used in the estimation of all base rates included in the data set.

Transformations

All survey variables were normalised to the [0,1] range before the analysis. Responses to food frequency questions were transformed into the proportion of all meals consumed during a year where the meal contained the respective food item. Responses to questions with 11-point Juster probability scales as the response format were transformed into numerical probabilities. Responses to questions with time (hours, days, weeks) or temperature (C) as response formats were discretised using supervised binning. The thresholds best separating between the bins were chosen on the basis of five-fold cross-validated decision trees. The binned versions of these variables, and all other input variables with multiple categorical response options (either with a check-all-that-apply or forced-choice response format) were transformed into sets of binary features, with a value 1 assigned if the respective response option had been checked, 0 otherwise.

Treatment of missing values

In many cases, a missing value on a feature logically implies that the respective data point should have a value of zero. If, for example, a participant in the SafeConsume Household Survey had indicated that a particular food was not consumed in their household, the participant was not presented with any other questions related to that food, which automatically results in missing values on all features representing the responses to the skipped questions. However, zero consumption would also imply a zero probability that the respective food is consumed undercooked. In such cases, missing values were replaced with a value of 0.

The indicator gives for each type of household the percentage of the total population.

This dataset offers detailed insights into disposable household income across Europe. Use this data to unlock regional purchasing power and make smarter business, marketing, and retail decisions. Available for free through Spotzi – simply create a free account to access advanced analytics tools.

European Household Expenditure on Home Goods by Country, 2023 Discover more data with ReportLinker!

European Household Expenditure on Housing, Water and Energy by Country, 2023 Discover more data with ReportLinker!

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

European Household Expenditure on Food by Country, 2023 Discover more data with ReportLinker!

EU EE: HICP: Weights: Furnishings, Household Equipment data was reported at 52.000 Per 1000 in 2018. This records a decrease from the previous number of 53.110 Per 1000 for 2017. EU EE: HICP: Weights: Furnishings, Household Equipment data is updated yearly, averaging 48.430 Per 1000 from Dec 1996 (Median) to 2018, with 23 observations. The data reached an all-time high of 61.720 Per 1000 in 1997 and a record low of 39.740 Per 1000 in 2011. EU EE: HICP: Weights: Furnishings, Household Equipment data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Estonia – Table EE.Eurostat: Harmonized Index of Consumer Price: Weights.

This dataset contains anonymised Smart Home environment data that was collected during a project over 359 days (16.05.2023-08.05.2024). The dataset contains information about temperature (°C), humidity (%), ambient light (lux), CO2 (ppm), VOC (ppm), sound pressure (db) in a frequency of 2 to 5 minutes in addition to event based data from PIR-Sensors and door contact sensors. Additionally, time and location information for each data point is available in the form of a time stamp, the user ID, the room and the country. The dataset was collected in 4 different European countries from a total of 62 users at their residential (not every sensor type was installed at every installation). The target group for the field trials were elderly people 65+.

The percentage of households with internet access in Southern Europe was forecast to continuously increase between 2024 and 2029 by in total 4.3 percentage points. After the twenty-eighth consecutive increasing year, the internet penetration is estimated to reach 96.89 percent and therefore a new peak in 2029. Notably, the percentage of households with internet access of was continuously increasing over the past years.Depicted is the share of housholds with internet access in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the percentage of households with internet access in countries like Eastern Europe and Central & Western Europe.

The percentage of households with internet access in Central & Western Europe was forecast to continuously increase between 2024 and 2029 by in total 3.2 percentage points. After the seventh consecutive increasing year, the internet penetration is estimated to reach 96.21 percent and therefore a new peak in 2029. Depicted is the share of housholds with internet access in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the percentage of households with internet access in countries like Northern Europe and Russia.

Housing Index in European Union increased to 157.48 points in the first quarter of 2025 from 155.33 points in the fourth quarter of 2024. This dataset provides - European Union House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This indicator is defined as the percentage of the population living in an overcrowded household (excluding the single-person households). A person is considered as living in an overcrowded household if the household does not have at its disposal a minimum of rooms equal to: - one room for the household; - one room by couple in the household; - one room for each single person aged 18 and more; - one room by pair of single people of the same sex between 12 and 17 years of age; - one room for each single person between 12 and 17 years of age and not included in the previous category; - one room by pair of children under 12 years of age. The indicator is presented by sex.

This dataset provides values for HOUSEHOLD FINAL CONSUMPTION EXPENDITURE PPP US DOLLAR WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This indicator is defined as the percentage of the population living in an overcrowded household (excluding the single-person households). A person is considered as living in an overcrowded household if the household does not have at its disposal a minimum of rooms equal to: - one room for the household; - one room by couple in the household; - one room for each single person aged 18 and more; - one room by pair of single people of the same sex between 12 and 17 years of age; - one room for each single person between 12 and 17 years of age and not included in the previous category; - one room by pair of children under 12 years of age. The indicator is presented by poverty status.