The percentage of households with internet access in Eastern Europe was forecast to continuously increase between 2024 and 2029 by in total 6.9 percentage points. After the twenty-eighth consecutive increasing year, the internet penetration is estimated to reach 96.38 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 Southern Europe and Northern 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.

Data available from 1995.

Status of the figures The data from 1995 onwards are final. The figures for the last year are provisional. These figures will not be made final because this table is stopped.

Changes as of 19 November 2013: None. This table is stopped.

When will new figures be published? This table is stopped and will be continued as Regional accounts; transactions of the sector households. See paragraph 3.

Notes on the basis for this dataset: This dataset is based on a Eurostat dataset (ISOC_CI_CFP_CU):

Online data code:ISOC_CI_CFP_CU Source of data:Eurostat Last data update:10/05/2023 11:00 Last structure update:08/02/2021 23:00 Data navigation tree location: Science, technology, digital society > Digital economy and society > ICT usage in households and by individuals > Connection to the internet and computer use Cross cutting topics > Skills-related statistics > Skills supply - self-reported measures > Digital skills - ICT usage in households and by individuals > Internet and computer use

Header and data descritions of the filtered dataset: This filtered dataset contains the following headers and the corresponding data:

date [year in format yyyy form 2007 untill (and including) 2017 in reverse order; last line in the filtered dataset contains increase in percent-points] ATHN [Neutron Monitor in Athens, Greece, Europe; data: neutron detections per second averaged over a 1 year period] AT [ Austria , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] BE [ Belgium , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] BG [ Bulgaria , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] CY [ Cyprus , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] CZ [ Czechia , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] DE [ Germany , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] DK[ Denmark , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] EE [ Estonia , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] EL [ Greece , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] ES [ Spain , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] EU28 [all 28 member countries of the EU between 2007 and 2017, Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] FI [ Finland , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] FR [ France , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] HR [ Croatia , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] HU [ Hungary , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] IE [ Ireland , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] IT [ Italy , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] LT [ Lithuania , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] LU [ Luxembourg , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] LV [ Latvia , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] MT [ Malta , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] NL [ Netherlands , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] PL [ Poland , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] PT [ Portugal , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] RO [ Romania , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] SE [ Sweden , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] SI [ Slovenia , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] SK [ Slovakia , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points] UK [ United Kingdom , Europe; data: percent of individuals (no age restriction) who used a computer at least once within the previous three months; bottom line contains the increase between 2007 and 2017 in percent-points]

Obtaining the filtered dataset:

Measuring the use and ownership of more than 200 consumer goods and services plus information about people and families and their attitudes over a wide range of topics in sixteen western European countries. Families, homes and possessions/ size and composition of households/ occupational structures/ family incomes/ educational backgrounds/ languages spoken and read/ religions/ types of accommodations/ amenities and tenure/ savings/ insurance / in the home labour-saving equipment/ kitchen equipment/ washing and cleaning / food and drink types of food and drink consumed, preferred / the leisure hours: television viewing/ involvement in various specific leisure activities, including adult education/ second home ownership/ pet ownership / transport and tourism automobile ownership/ holiday activities and travel / fashion attitudes to fashion/ amount spent on grooming aids/ cosmetics/ clothing/ wrist-watches / attitudes towards Europe, sense of well-being/ knowledge of and attitudes towards the Common Market and European Union/ national images and -perception/ identification of and attitudes towards various countries and their products / socio-cultural attitudes towards advertising/ the generation gap/ social tolerance ( class, sex, religion, colour etc. )/ attitudes towards law-breakers and social justice/ honesty and family relationships. Background variables: basic characteristics/ residence/ housing situation/ household characteristics/ occupation/employment/ income/capital assets/ social class/ religion/ consumption of durables

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.

Abstract copyright UK Data Service and data collection copyright owner. The original objective was to produce a marketing survey of 16 countries in Western Europe, to measure their differences as consumers over a wide range of goods and services, and to see how subscribers to European editions of the Reader's Digest compared against the total population of each country. The results are of interest, however, to social planners, sociologists and students of Europe as well as to marketing organizations. Main Topics: The survey, carried out in 16 western European countries in 1969, was intended to up-date and extend the coverage of the 1963 Products and People survey (Survey Number 1511). Coverage was expanded to cover all the countries of EFTA as well as Finland, Spain and the Republic of Ireland. Like the 1963 study, this survey was intended primarily to be a marketing survey of western European countries, to measure these countries' differences as consumers over a wide range of goods and services, and to see how subscribers to the Reader's Digest compared against the total population of each country. However, a number of other broader attitudinal questions have been added, as in 1963, which give the survey a much wider relevance and potential audience than might otherwise be expected. Apart from measuring these and ownership of more than 200 consumer goods and services, information was also collected about the people and families of Europe and their attitudes over a wide range of topics. We present a broad overview of these below. See the questionnaire for more specific information on actual questions asked. 1. Families, Homes and Possessions: size and compostition of households; occupational structures; family incomes; education backgrounds; languages spoken and read; religions; types of accommodation, amenities and tenure; savings, insurance. 2. In the Home: labour-saving equipment; kitchen equipment; washing and cleaning. 3. Food and Drink: information on types of food and drink consumed, preferred. 4. The Leisure Hours: television viewing; involvement in various specified leisure activities, including adult education; second home ownership; pet ownership. 5. Transport and Tourism: automobile ownership; holiday activities and travel. 6. Fashion: attitudes to fashion; amount spent on grooming aids, cosmetics, clothing, wrist-watches. 7. Attitudes to Europe: sense of well-being; knowledge of and attitudes to Common Market and European union; national images and perception of same; identification of and attitudes towards various countries and their products. 8. Socio-Cultural Attitudes: attitudes to advertising; the generation gap; social tolerance (class, sex, religion, colour etc.), attitudes towards law-breakers and social justice; honesty and family relationships. According to the report on the survey, In most of the 16 countries the selection of the sample followed the best available method of achieving a probability sample representative of the national population aged 18 and over living in provate households. These methods varied greatly among the 16 countries, as did the target number of interviews in each country. Two samples were employed, each being given different questions (Sample A were asked questions 20-26, Sample B questions 27-33). A further third sample of Reader's Digest subscribers in each of the 12 countries which have a national edition of the magazine were asked the same questions.

The startling drop in incomes and increase in inequality accompanying the transition to market economies in Eastern Europe and the former Soviet Union raise critical questions: Who is most likely to be poor? How well are existing social assistance programs reaching those who most need help? And what kind of programs would be most effective in reducing poverty? As part of a project analyzing poverty and social assistance in the transition economies, a Bank research team created a database of household expenditure and income data from recent surveys the HEIDE database. (See the book by J. Braithwaite, Ch. Grootaert and B. Milanovic, "Poverty and social assistance in Transition Countries, St. Martin's Press, 1999" and the book by B. Milanovic, Income, inequality, and poverty during the transition from planned to market economy, World Bank, 1998.) The HEIDE database includes four countries in both Eastern Europe and the Former Soviet Union. Latvia was then added at a later stage. The four files are:hhold: Household data consists of the variables in Variable List at household level.ind: Individual data consists of the variables in Variable List at individual level.modelh: Household data consists of the variables used in regression models.modeli: Individual data consists of the variables used in regression models. Prefixes are used to indicate countries for the data files, i.e. A- Rural Armenia B- Bulgaria E- Estonia H- Hungary K- Kyrgyz P- Poland R- Russia S- Slovak Y- Urban Armenia The survey data were cleaned for possible inconsistencies and errors and adjusted for missing data and outliers. The compilation of almost 100 variables with similar definitions for the eight countries allows ready cross-country analysis and comparisons. A consistent syntax is used for the variables to enable researchers to use the same macro routines across countries. There are more than 3 million data points.

The main objectives of this data collection effort were to assemble a set of cross-nationally comparable microdata samples for Economic Commission for Europe (ECE) countries based on the 1990 national population and housing censuses in countries of Europe and North America, and to use these samples to study the social and economic conditions of older persons. The samples are designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. The Finland microdata sample contains information on persons aged 50 and over and on the persons who reside with them. Variables included in this dataset provide information on geographic area, type of residency, type of dwelling, household characteristics and demographic characteristics such as age, sex, year of birth, household composition, marital status, number of children, education, income, religion, and occupation.

The number of social media users in Central & Western Europe was forecast to continuously increase between 2024 and 2029 by in total 43.4 million users (+19.56 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 265.37 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.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 number of social media users in countries like Russia and Northern Europe.

The number of social media users in Southern Europe was forecast to continuously increase between 2024 and 2029 by in total 40.9 million users (+24.08 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 210.78 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.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 number of social media users in countries like Russia and Eastern Europe.

The number of Youtube users in Europe was forecast to continuously increase between 2024 and 2029 by in total 7.8 million users (+3.61 percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach 223.61 million users and therefore a new peak in 2029. Notably, the number of Youtube users of was continuously increasing over the past years.User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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 number of Youtube users in countries like North America and Australia & Oceania.

The number of smartphone users in Eastern Europe was forecast to increase between 2024 and 2029 by in total 23.5 million users (+12.83 percent). This overall increase does not happen continuously, notably not in 2029. The smartphone user base is estimated to amount to 206.69 million users in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.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 number of smartphone users in countries like Southern Europe and Central & Western Europe.