This statistic looks at which socio-economic demographics retailers target in the United Kingdom in 2016. According to the survey, ** percent of retailers focus on the AB social-economic group (upper middle and middle classes) while only one percent focus on groups DE (working and non-working classes).

Legacy unique identifier: P00032

Economically active and non-active residents of households and those aged 16-64 who are economically active by National Statistics Socio-Economic classification as defined by own occupation. To provide 2001 Census based information about the National Statistics Socio-Economic (NS-SEC) Group of the population within each area as defined by own occupation. Legacy unique identifier: P00032

Proportion of high-income participants in different socio-economic-demographic classes, by case and control groups.

During the observed period, the level of extreme poverty has increased in the social groups mentioned. However, the group most at risk of extreme poverty in Poland were households living mainly from so-called unearned sources and farmers. As of 2024, farmers have a poverty rate of **** percent, while those living on unearned sources have a rate of **** percent.

Over the period from 2010 to 2020, profile creation increased among all socio-economic group. During the survey in 2020, it was revealed that 83 percent of responding individuals from social grade C1 reported setting up their personal profile on a social networking platform.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

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This dataset presents the percentage of the 15-64 year old population within each Socio-Economic Indexes for Individuals (SEIFI) Index of Relative Socio-economic Disadvantage (IRSD) group. The data has been aggregated to the 2006 Census Collection Districts (CD). This datasets presents the IRSD groups to 10 categories, where group 1 is the 10% most disadvantaged 15-64 year old population and group 10 presents the most advantaged 10% of 15-64 year old population. For more information please visit the ACT Government Data Portal. Please note: AURIN has spatially enabled the original data.

SAP2011T9T2DC2007 - Private households by socio-economic group of reference person. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Private households by socio-economic group of reference person...

age-class altersklasse arbeitszeit classe-d_a_ge entite_-ge_opolitique-_de_clarante_ europa_ische-sozioo_konomische-gruppen european-socio-economic-groups fre_quence-_relative-au-temps_ geopolitical-entity-_reporting_ geopolitische-meldeeinheit groupes-socioe_conomiques-europe_ens maßeinheit temps-de-travail time-frequency unit-of-measure unite_-de-mesure working-time zeitliche-frequenz

The section 'LFS series - detailed annual survey results' reports annual results from the EU-LFS. While LFS is a quarterly survey, it is also possible to produce annual results. There are several ways of doing it, see section '18.5 Data compilation' below for details.

This data collection covers all main labour market characteristics, i.e. the total population, labour force and labour force participation rates, employment, employment rates, self-employed, employees, temporary employment, full-time and part-time employment, population in employment having a second job, population in employment working during unsocial hours, working time, total unemployment, inactivity and quality of employment.

General information on the EU-LFS can be found in the ESMS page for https://ec.europa.eu/eurostat/cache/metadata/en/employ_esms.htm" target="_parent">Employment and unemployment (LFS). Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.

Population (Number) by Disability Type, Socio Economic Group, CensusYear, Sex and Age Group

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A 2024 survey among internet users in the United Kingdom (UK) found that users belonging to the socio-economic group C1 (lower middle class) accounted for ** percent of medium online users, who used the internet for **** to ***** types of online activities.

As per the results of a large scale survey across India in 2019, the SEC E group had the highest proportion of underweight respondents. The deficit of intake of right nutrition to satisfy the energy requirements of the body leads to underweight problems in the lower socio-economic groups.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Municipal Districts boundary data (generalised to 50m) produced by Ordnance Survey Ireland (OSi). The layer represents Census 2016 theme 9.2, persons in private households by socio-economic group of reference person. Attributes include breakdown of households by socio-economic group of reference person, number of households and number of persons (e.g. E Manual skilled (No. of households), B Higher professional (No. of persons)). Census 2016 theme 9 represents Social Class and Socio-Economic Group. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO.The Municipal District Boundary dataset generalised to 50m has been generated from the OSi National Statutory Boundary dataset.

This dataset provides Census 2021 estimates that classify Household Reference Persons aged 16 years and over in England and Wales by NS-SEC of Household Reference Person and by household composition. The estimates are as at Census Day, 21 March 2021.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Data about household relationships might not always look consistent with legal partnership status. This is because of complexity of living arrangements and the way people interpreted these questions. Take care when using these two variables together. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

National Statistics Socio-economic Classification (NS-SeC)

The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.

It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.

Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.

Household composition

Households according to the relationships between members.

One-family households are classified by:

• the number of dependent children
• family type (married, civil partnership or cohabiting couple family, or lone parent family)

Other households are classified by:

• the number of people
• the number of dependent children
• whether the household consists only of students or only of people aged 66 and over

This study contains selected demographic, social, economic, public policy, and political comparative data for Switzerland, Canada, France, and Mexico for the decades of 1900-1960. Each dataset presents comparable data at the province or district level for each decade in the period. Various derived measures, such as percentages, ratios, and indices, constitute the bulk of these datasets. Data for Switzerland contain information for all cantons for each decennial year from 1900 to 1960. Variables describe population characteristics, such as the age of men and women, county and commune of origin, ratio of foreigners to Swiss, percentage of the population from other countries such as Germany, Austria and Lichtenstein, Italy, and France, the percentage of the population that were Protestants, Catholics, and Jews, births, deaths, infant mortality rates, persons per household, population density, the percentage of urban and agricultural population, marital status, marriages, divorces, professions, factory workers, and primary, secondary, and university students. Economic variables provide information on the number of corporations, factory workers, economic status, cultivated land, taxation and tax revenues, canton revenues and expenditures, federal subsidies, bankruptcies, bank account deposits, and taxable assets. Additional variables provide political information, such as national referenda returns, party votes cast in National Council elections, and seats in the cantonal legislature held by political groups such as the Peasants, Socialists, Democrats, Catholics, Radicals, and others. Data for Canada provide information for all provinces for the decades 1900-1960 on population characteristics, such as national origin, the net internal migration per 1,000 of native population, population density per square mile, the percentage of owner-occupied dwellings, the percentage of urban population, the percentage of change in population from preceding censuses, the percentage of illiterate population aged 5 years and older, and the median years of schooling. Economic variables provide information on per capita personal income, total provincial revenue and expenditure per capita, the percentage of the labor force employed in manufacturing and in agriculture, the average number of employees per manufacturing establishment, assessed value of real property per capita, the average number of acres per farm, highway and rural road mileage, transportation and communication, the number of telephones per 100 population, and the number of motor vehicles registered per 1,000 population. Additional variables on elections and votes are supplied as well. Data for France provide information for all departements for all legislative elections since 1936, the two presidential elections of 1965 and 1969, and several referenda held in the period since 1958. Social and economic data are provided for the years 1946, 1954, and 1962, while various policy data are presented for the period 1959-1962. Variables provide information on population characteristics, such as the percentages of population by age group, foreign-born, bachelors aged 20 to 59, divorced men aged 25 and older, elementary school students in private schools, elementary school students per million population from 1966 to 1967, the number of persons in household in 1962, infant mortality rates per million births, and the number of priests per 10,000 population in 1946. Economic variables focus on the Gross National Product (GNP), the revenue per capita per household, personal income per capita, income tax, the percentage of active population in industry, construction and public works, transportation, hotels, public administration, and other jobs, the percentage of skilled and unskilled industrial workers, the number of doctors per 10,000 population, the number of agricultural cooperatives in 1946, the average hectares per farm, the percentage of farms cultivated by the owner, tenants, and sharecroppers, the number of workhorses, cows, and oxen per 100 hectares of farmland in 1946, and the percentages of automobiles per 1,000 population, radios per 100 homes, and cinema seats per 1,000 population. Data are also provided on the percentage of Communists (PCF), Socialists, Radical Socialists, Conservatives, Gaullists, Moderates, Poujadists, Independents, Turnouts, and other political groups and p

The share of respondents who use a smartphone in the United Kingdom (UK) has increased across all socio-economic groups in the past years. In 2012, 51 percent of respondents who used a mobile phone in the C2 socio-economic group reported that it was a smartphone, and this proportion increased to over 90 percent in 2024. The share of smartphone usage is highest among the AB socio-economic group with 97 percent reporting to use a smartphone.