Household characteristics, including household type, age group of the reference person (the person responsible for housing decisions), employment status of the reference person, visible minority status of the reference person, and degree of difficulty for the household to meet its financial needs, by tenure including first-time homebuyer status, Canada, provinces and territories, population centres, select census metropolitan areas (CMAs) and census agglomerations (CAs).

Main tables from The Effects of Taxes and Benefits on Household Income publication for 1977 onwards.

Household characteristics by tenure, for households with usual residents, England and Wales, Census 2021. Data are available at a national, country, region, local authority district, Middle layer Super Output Area and Lower layer Super Output Area level, where possible.

The Household Characteristics Theme is one of four that composes the CDC/ATSDR Social Vulneratiblity Index. Five different variables derived from the United States Census Bureau's American Community Survey belong to this theme, including persons age 65 and older, persons age 17 and younger, civilian noninstitutionalized population with a disability, households headed by a single parent, and persons age 5 and older who speak English 'less than well'.

Household characteristics of dependent children, including the tenure of the household, overcrowding, and the number of adults employed in the household.

Annual data on Household Final Consumption Expenditure broken down by COICOP categories and by certain cross-sectional variables.

The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP (Harmonised Indices of Consumer Prices). However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research…

Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics.

Household final consumption expenditure is measured in national currency, Euro and PPS (Purchasing Power Standard).

Household budget survey (HBS) data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries maintained by households and/or individuals, generally on a daily basis. Following the adoption of innovative solutions for the data collection, it will be possible to collect some information directly through the use of apps, electronic diaries or special cards so the respondents' burden will be lowered.

Data collection is approximately every 5 years: 1988, 1994, 1999, 2005, 2010, 2015 and 2020. Next reference year is 2026.

The Cyprus, France and Malta Household Budget Survey Data for the year 2020, have been produced by converting the Cyprus, France and Malta Household Budget Survey Data for the year 2015 to 2020 Reference Year prices using the 2020 HICP coefficient.

The data present the selection of Census topics and breakdowns of the 2021 EU population and housing census, as defined by Regulation (EC) 763/2008 and its three implementing regulations for the 2021 round of censuses: Regulation (EU) 2017/543; Regulation (EU) 2017/712 and Regulation (EU) 2017/881.

The 2021 data presented in the tables for European Union Member States (27) and EFTA countries (4) are taken from a broader collection of data composed of 119 hypercubes (organized into 41 groups) mandated by Annex I to the Regulation (EU) 2017/712. These hypercubes provide a highly detailed dataset, aligning with the key census features of individual enumeration, simultaneity, universality, availability of small-area data, and defined periodicity. This structure allows detailed cross-tabulation of demographic, socioeconomic, and housing characteristics across various geographic levels (National, NUTS 1, NUTS 2 and NUTS 3).

The census data presented here adhere to the same definitions, technical specifications, and breakdowns as the detailed hypercubes, which can be accessed via the Eurostat Census Hub.

The tables presented here provide key breakdowns and cross-tabulations.

The data tables are structured based on a 2021 Census Hub data topic design, where each table represents a multidimensional breakdown of census data.

The 2021 Census data offer a statistical overview of population, households, families, and dwellings. Datasets are organized around three core areas:

1.Population Characteristics:

Comprehensive demographic details, including sex, age, marital status, and family structures.

Socioeconomic indicators such as education, employment, occupation, and activity status.

Migration-related characteristics, covering citizenship, country of birth, year of arrival, and previous residence. Geographical breakdowns are offered at NUTS 2 in 23 tables and NUTS 3 levels in 12 tables.

2.Families and Households:

Household composition and family structures.

Features family nucleus size, tenure status, and household composition and size.

These tables are primarily provided for NUTS 3 geographical regions in the 3 tables.

3.Dwellings:

Dwelling characteristics, including ownership status, building types, occupancy, and construction periods among others.

Geographical detail, with data split between NUTS 2 in one table and NUTS 3 in 4 tables.

The statistical data are supplemented by national metadata files that facilitate interpretation of the numerical data, including country-specific definitions, information on the data sources and on methodological issues.

Household income statistics by structural type of dwelling (single-detached house, apartments, other attached dwelling) and household type (couple family, lone-parent family, non-census family households) for Canada, provinces and territories, census divisions and census subdivisions.

This table contains figures on the satisfaction with the current dwelling and the living environment of private households in independent homes. The figures are presented for both owners and tenants and can be further divided into various characteristics of the household and the dwelling.

Data available from: 2002

Status of the figures: final

Changes as of 10 April 2025: Final figures for 2024 included.

Changes as of August 21, 2025: In the figures published on April 10th 2025, a discrepancy was discovered in the 2024 figures. This has been corrected and the correct figures have been published.

Statistics Netherlands is switching to a new classification regarding migration background. From now on, it will be primarily decisive where someone was born, and additionally where his/her parents were born. The term migration background will no longer be used. The main classification Western/non-Western will be replaced by a classification based on continents and common immigration countries. This classification will be gradually introduced in tables and publications with population by origin. For this StatLine table, it has been decided that the classification of migration background will be stopped. As of reporting year 2024, the figures regarding migration background in this table will no longer be updated.

When will new figures be published? Figures over reporting year 2027 will be published in 2028.

tenure trends at national and regional levels; cross-tenure comparisons of characteristics of households and their accommodation; overcrowding and under-occupation; need for specially adapted accommodation. the demographic and economic characteristics of renters; accommodation characteristics; rents and Housing Benefit; types of letting. trends in ownership; types of purchase; recent first-time buyers; types of mortgage; mortgage payments; leaseholders; moves out of owner occupation; second homes. mobility among all households; length of residence; demographic characteristics of movers; movement between tenures; movement into and out of tenures; tenancy deposits.

Data on living arrangements of persons in private households including stepfamily status and presence of grandparents, age group and gender, Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021 and 2016 censuses.

Distribution of household total income in constant 2020 dollars by household type (couple family, one-parent family, non-census family households) and characteristics of household members (number of earners and number of people in different age groups).

Dataset population: Households

Classification of household deprivation

The dimensions of deprivation used to classify households are indicators based on four selected household characteristics. A household is deprived in a dimension if they meet one or more of the following conditions:

• Employment: Where any member of a household, who is not a full-time student, is either unemployed or long-term sick.
• Education: No person in the household has at least Level 2 education (see highest level of qualification), and no person aged 16 to 18 is a full-time student.
• Health and disability: Any person in the household has general health that is 'bad' or 'very bad' or has a long-term health problem.
• Housing: The household's accommodation is either overcrowded, with an occupancy rating -1 or less, or is in a shared dwelling, or has no central heating.

A household is classified as being deprived in none, or one to four of these dimensions in any combination.

Household characteristics of study participants.

Household characteristics by type of household

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

Statistics Canada Census Data from 2021. This dataset includes the household characteristics data provided by Statistics Canada joined with the census tracts. Each topic covered by the census was exported as a separate table. Each table contains the total, male, and female characteristics as fields for each census tract. Topics range from population, age and sex, immigration, language, family and households, income, education, and labour. For more information on definitions of terms used in the tables and other notes, refer to Statistics Canada's 2021 Census.

Households earn and spend different amounts due in part to differences in composition. This page uses the Consumer Expenditure Survey to show the characteristics households in each income quintile and their income sources.

Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.

The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.

This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.

Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.

All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.

Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.