Unemployment Rate in South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Females 25 and Over- Live Register. Published by All-Island Research Observatory. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This file contains original variables from the CSO regarding Females 25 and over who are signing on the Live Register in 124 Social Welfare Offices in the Republic of Ireland. Data is available on a monthly basis from February 2008 to June 2014....

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Longitudinal data
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.

New reweighting policy
Following the new reweighting policy ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

Additional data derived from the QLFS
The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

Variables DISEA and LNGLST
Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018.

An article explaining the quality assurance investigations that have been conducted so far is available on the ONS Methodology webpage. For any queries about Dataset A08 please email Labour.Market@ons.gov.uk.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2022 Weighting

The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

Latest Edition Information
For the sixth edition (October 2020), the data file has been updated due to revisions made to the weighting methodology. Further information is available in the Improvements to the Weighting Methodology Used in the Labour Force Survey Longitudinal Datasets document which has also been added.

Abstract

Survey based Harmonized Indicators (SHIP) files are harmonized data files from household surveys that are conducted by countries in Africa. To ensure the quality and transparency of the data, it is critical to document the procedures of compiling consumption aggregation and other indicators so that the results can be duplicated with ease. This process enables consistency and continuity that make temporal and cross-country comparisons consistent and more reliable.

Four harmonized data files are prepared for each survey to generate a set of harmonized variables that have the same variable names. Invariably, in each survey, questions are asked in a slightly different way, which poses challenges on consistent definition of harmonized variables. The harmonized household survey data present the best available variables with harmonized definitions, but not identical variables. The four harmonized data files are

a) Individual level file (Labor force indicators in a separate file): This file has information on basic characteristics of individuals such as age and sex, literacy, education, health, anthropometry and child survival. b) Labor force file: This file has information on labor force including employment/unemployment, earnings, sectors of employment, etc. c) Household level file: This file has information on household expenditure, household head characteristics (age and sex, level of education, employment), housing amenities, assets, and access to infrastructure and services. d) Household Expenditure file: This file has consumption/expenditure aggregates by consumption groups according to Purpose (COICOP) of Household Consumption of the UN.

Geographic coverage

National

Analysis unit

• Individual level for datasets with suffix _I and _L
• Household level for datasets with suffix _H and _E

Universe

The survey covered all de jure household members (usual residents).

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame and Units As in all probability sample surveys, it is important that each sampling unit in the surveyed population has a known, non-zero probability of selection. To achieve this, there has to be an appropriate list, or sampling frame of the primary sampling units (PSUs).The universe defined for the GLSS 5 is the population living within private households in Ghana. The institutional population (such as schools, hospitals etc), which represents a very small percentage in the 2000 Population and Housing Census (PHC), is excluded from the frame for the GLSS 5.

The Ghana Statistical Service (GSS) maintains a complete list of census EAs, together with their respective population and number of households as well as maps, with well defined boundaries, of the EAs. . This information was used as the sampling frame for the GLSS 5. Specifically, the EAs were defined as the primary sampling units (PSUs), while the households within each EA constituted the secondary sampling units (SSUs).

Stratification In order to take advantage of possible gains in precision and reliability of the survey estimates from stratification, the EAs were first stratified into the ten administrative regions. Within each region, the EAs were further sub-divided according to their rural and urban areas of location. The EAs were also classified according to ecological zones and inclusion of Accra (GAMA) so that the survey results could be presented according to the three ecological zones, namely 1) Coastal, 2) Forest, and 3) Northern Savannah, and for Accra.

Sample size and allocation The number and allocation of sample EAs for the GLSS 5 depend on the type of estimates to be obtained from the survey and the corresponding precision required. It was decided to select a total sample of around 8000 households nationwide.

To ensure adequate numbers of complete interviews that will allow for reliable estimates at the various domains of interest, the GLSS 5 sample was designed to ensure that at least 400 households were selected from each region.

A two-stage stratified random sampling design was adopted. Initially, a total sample of 550 EAs was considered at the first stage of sampling, followed by a fixed take of 15 households per EA. The distribution of the selected EAs into the ten regions or strata was based on proportionate allocation using the population.

For example, the number of selected EAs allocated to the Western Region was obtained as: 1924577/18912079*550 = 56

Under this sampling scheme, it was observed that the 400 households minimum requirement per region could be achieved in all the regions but not the Upper West Region. The proportionate allocation formula assigned only 17 EAs out of the 550 EAs nationwide and selecting 15 households per EA would have yielded only 255 households for the region. In order to surmount this problem, two options were considered: retaining the 17 EAs in the Upper West Region and increasing the number of selected households per EA from 15 to about 25, or increasing the number of selected EAs in the region from 17 to 27 and retaining the second stage sample of 15 households per EA.

The second option was adopted in view of the fact that it was more likely to provide smaller sampling errors for the separate domains of analysis. Based on this, the number of EAs in Upper East and the Upper West were adjusted from 27 and 17 to 40 and 34 respectively, bringing the total number of EAs to 580 and the number of households to 8,700.

A complete household listing exercise was carried out between May and June 2005 in all the selected EAs to provide the sampling frame for the second stage selection of households. At the second stage of sampling, a fixed number of 15 households per EA was selected in all the regions. In addition, five households per EA were selected as replacement samples.The overall sample size therefore came to 8,700 households nationwide.

Mode of data collection

Face-to-face [f2f]

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Longitudinal data
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.

New reweighting policy
Following the new reweighting policy ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

Additional data derived from the QLFS
The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

Variables DISEA and LNGLST
Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018.

An article explaining the quality assurance investigations that have been conducted so far is available on the ONS Methodology webpage. For any queries about Dataset A08 please email Labour.Market@ons.gov.uk.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2022 Weighting

The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

Latest Edition Information
For the sixth edition (October 2020), the data file has been updated due to revisions made to the weighting methodology. Further information is available in the Improvements to the Weighting Methodology Used in the Labour Force Survey Longitudinal Datasets document which has also been added.

These geographic designations were created to define geographic areas within San Francisco that have a higher density of vulnerable populations. These geographic designations will be used for the Health Care Services Master Plan and DPH's Community Health Needs Assessment.

aov_fin - 1 = YES aov_fin - 0 = NO

AOV's were defined using 2012-2016 ACS data at the census tract level and the following criteria:

1) Top 1/3rd for < 200% poverty or < 400% poverty & top 1/3rd for persons of color OR 2) Top 1/3rd for < 200% poverty or < 400% poverty & top 1/3rd for youth or seniors (65+) OR 3) Top 1/3rd for < 200% poverty or < 400% poverty & top 1/3rd for 2 other categories (unemployment, high school or less, limited English proficiency persons, linguistically isolated households, or disability)

Tracts that had unstable data for an indicator were automatically given zero credit for that indicator. That is why two language variables are included in the bonus group, because there tend to be a high number of tracts with unstable data for language variables.

Description: This data set contains the responses from 476 participants regarding household demographic information, poverty perceptions, household income and expenditure patterns, food and nutrition security, asset status of the household, health status, children and education, unemployment and poverty, employment and income generating history of household members, credit risk, general overview of the EPWP project, EPWP employment, skill and training profile, and personal/household benefit from EPWP. The study targeted 400 EPWP beneficiaries and the actual realised sample was 376 EPWP current and past beneficiaries from 15 EPWP projects in 4 KZN districts. The study also targeted 100 non-beneficiaries for comparisons. The data set contains 476 cases and 1087 variables. Abstract: Public employment programmes (PEPs) or (public works programmes (PWPs) remain a popular policy instrument globally and particularly in developing countries as a short term measure for tackling unemployment and alleviating poverty. They are premised on the notion that employment will directly impact household livelihoods through access to wages, while it will more broadly act as a stimulus for the economy. Public employment programmes transfer impacts in three key ways, namely: transfer of wages, asset accumulation at the individual and household levels and assets that are created from projects for the community at large. A socio-economic impact assessment of EPWP Phase 2 in KwaZulu-Natal and a measure to estimate the total rand value of each EPWP job in the province was commissioned by the Provincial Department of Transport (DoT), the lead agency responsible for the co-ordination and monitoring of the Expanded Public Works Programme (EPWP) in the province. The evaluation adopted a mixed methods design that drew on the strengths of quantitative data collection and analysis involving a purpose built comprehensive household survey. Qualitative data collection methods and analysis was widely used on focus groups and key informant interviews. The survey was administered to a total of 376 EPWP participants both current and past, from fifteen projects in four districts across KZN namely Zululand, eThekwini, uGu and uMzinyathi. In addition 100 non beneficiary (comparison group) stakeholders were interviewed. The beneficiaries were identified from projects across all four EPWP sectors. Face-to-face interview Observation The survey was administered to a total of 376 EPWP participants both current and past, from 15 projects in four districts across KZN and 100 comparison participants (non-EPWP) from across four EPWP sectors.

This dataset covers ballots 396-407 spanning January-December 1977. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 396 - January This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about the Federal budget and other important political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as who should pay for child care; pollution and inflation. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: a balanced Federal budget; changing the standard of living; the dangers of pollution; giving workers the right to strike; whether or not the government should pay for child care; the government's handing of the economy; the growing Separatist movement; interest in politics; the opinions about Rene Levesque; pollution in the community; the seriousness of pollution; and the success of fighting inflation. Basic demographic variables are also included. 397 - February This Gallup poll seeks the opinions of Canadians, on both political and social issues. Topics of interest include: whether the U.S. and Canada have succeeded in clearing the Great Lakes of pollution; political refugee centres; relaxing requirements for the entry of political refugees; gun permits; community council spending; the political engagement of unions; Trudeau or Clark for prime minister; secession of Quebec; sharing of power between the federal government and the provinces; and voting behavior. Basic demographic variables are also included. 398 - March This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as inflation; rising prices and whether or not there should be smoking in restaurants. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: the government's anti-inflation program; increasing racial intolerance; knowing the horoscope signs; the minimum amount of income a family needs; problems facing Canada; reading astrology columns; reasons for increasing racial intolerance; rising prices; smoking in restaurants; the successfulness of family life; taxing church property; and the treatment of criminals by the courts. Basic demographic variables are also included. 399 - April This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about the Federal budget and other political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as the effect of T.V violence; divorce and business conditions. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the business conditions in the community; continuing anti-inflation controls; dividing assets equally in a divorce; the effects of the Federal budget on family finances; the effect of T.V. on children's aggression levels; favouring Quebec Separation; how interesting a respondents job is; making marijuana illegal; and whether or not wages are rising as the standard of living does. Basic demographic variables are also included. 400 - May This Gallup poll seeks the opinions of Canadians, on various political issues. The questions ask opinions about political leaders and other political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as the impact of organized religion; homosexual rights and the Queen's visit. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: attending church; deposits on drinking bottles/cans; the difficulty of filling out tax returns; Ed Broadbent's impact on the NDP; improving English-French relations; handling unemployment; the impact of organized religion on life; Joe Clark's impact on the PC party; learning French in schools; opinions about Trudeau as a member of the Liberal party; protecting homosexual rights; the possibility of the Queen extending her visit; and vacation plans. Basic demographic variables are also included. 401 - June This Gallup poll seeks the opinions of Canadians, on various political and other current issues. Topics of interest include: opinion of the federal government and their handling of price and wage control, national unity, pensions, cost of living; onion of the Prime Minister; whether prices or income will rise more; food spending; human rights, i.e. freedom of speech and religion, freedom from fear or want; political leanings, the best and worst thing about living in Canada; union membership; the most important problem facing the country; the development of a Mackenzie Valley gas pipeline; increase in oil prices; increasing gas shipments to the U.S.; and voting behavior. Basic demographic variables are also included. 402 - July This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions the possibility of Quebec separation, as well as other important political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as the effects of smoking, inflation and whether or not to give work to strangers. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Canadians buying control of U.S. firms; confidence in United States problem solving; controlling price and income; the effects of smoking on health; giving provinces more power; giving Quebec more power; giving work to strangers; inflation caused by not having wage controls; opinions about capital punishment; plans to quit smoking; the preferred anti-inflation policy; smoking in the last week; supporting Quebec separation; unemployment caused by not having wage controls; and U.S. investments in Canada. Basic demographic variables are also included. 403 - August This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about the federal governments rights with information, unions, elections, government employees and homosexuals. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: crime; extramarital sex; homosexual relations; ideal number of children in families; metric system; faith healing; family; unions; government influence on Canadians lives; elections; government employees versus private sector employees. Basic demographic variables are also included. 404 - September This Gallup poll seeks the opinions of Canadians, on mostly social issues. The questions ask opinions about the declining Canadian dollar and the issue of striking within the country. There are also questions on other topics of interest such as the economic conditions, changes in peace of mind and the influence on religion on every day life. The respondents were also asked questions so that they could be grouped according to geographic and political variables. Topics of interest include: the biggest threat to Canada; the causes of the declining Canadian dollar; changes in peace of mind; the degree of difficulty with metric conversions; economic conditions; the effect of the declining Canadian dollar; energy situations in the future; essential workers striking; giving workers the right to strike; improving happiness; improving honesty; improving morals; the influence of religion on life; and the value of services provided. Basic demographic variables are also included. 405 - October This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about the upcoming election and other political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as self-protective laws, unemployment levels and nuclear power stations. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the amount of unemployment benefits; banning public opinion polls before elections; biased news reporting; the big issues in the next election; Canada becoming a Republic; causes of unemployment; common worries; the government guaranteeing jobs; high school emphasis on basic subjects; increasing nuclear generation; job security; making binding arbitration mandatory; the most accurate media new report; opening a nuclear power station in the community; opinions of self-protective laws; predicted unemployment levels; and the right to French or English education. Basic demographic variables are also included. 406 - November This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and other important political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as airline boycotts; national unity and reasons for inflation. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: the airline boycott of certain countries; the approval of compulsory retirement; approval of Ed Broadbent as the N.D.P. leader; the approval of Joe Clark as the leader of the Opposition; the approval of Trudeau as Prime Minister; Bill 101

The "Familie-enquête Nederlandse bevolking 1992-1993" ( Netherlands Family Survey 1992 - 1993 ) is a dataset on socio-economic characteristics and family background of spouses ( as well as a subsample of singles ), collected in 1992-1993 among a multi-stage random sample of 21 - 64 years of age of the Dutch population, conducted under the joint direction of principal investigators Wout C. Ultee and Harry B.G. Ganzeboom, at the Department of Sociology at Nijmegen University. The survey contains data on: 1000 primary respondents who were interviewed in a mixed oral and self-administered questionnaire. 800 spouses of primary respondents interviewed at the same time with ( virtually ) the same instruments, followed by mail surveys of one randomly selected surviving parent and one random sibling of the primary respondent. Themes: Full account in life history format for both spouses of: educational history, including level and type / occupational history, including illness, unemployment/ occupation includes occupational title, industry, employment status, supervising status, hours worked, income at beginning and end of job spell / life history of non-labour force activities ( voluntary work, illness, unemployment ) / residential history, including housing history / marital history, including previous spouses. Detailed and elaborate social and cultural characteristics of the parental family of both spouses, including education, occupation, culture consumption, material consumption, transfer of income and property as reported by all respondent-groups. Lifestyle characteristics: consumption, cosmopolitan behaviour, media behaviour. Political attitudes and behaviour, voting behaviour, post-materialism. Religious attitudes and behaviour. Education and Occupation data for all siblings and all children as reported by primary respondents. Attitudes and behaviour regarding division of household-labour as reported by both spouses. Family-ties with parents / parental home situation / family formation / previous marital and cohabitational relationships / own, adopted and foster children / holiday spending / world orientation / leisure spending / television watching / religious beliefs / moral and political opinions ( income differences , suicide, abortion, euthanasia, social security system, taxes ) / detailed data on performance of household tasks / gender role perception / differences in opinions between partners. Themes not yet mentioned in mail-survey questionnaires: Parent-questionnaire: financial situation when child in primary school / interest in child's school performance / encouragement of child / helping child in secondary education with school matters / financial help of child / helping child with professional career / work ethics / cultural stimulation of child / attitudes on tv watching / teaching manners, civilities / importance of religion / political education of child / involvement in child's friendships and relations / household division of labour. Sibling-questionnaire: social contacts with other siblings . Overview of available files: P1245A: merged data of primary respondents and spouses, N=1800, original name: WULT9293.ADDSYS. P1245B: spouses only, N=801, original name: WULT9293.PSYS. P1245C: primary respondents only, N=1000, original name: WULT9293.RSYS. P1245D: parents, N=400, original name: WULTOUD93.SYS. P1245E: siblings,N=535, original name: WULTSIB93.SYS. P1245F: constructed summary variables resps or spouses, N=1000, original name: WULT9293.SUM1SYS. P1245G: constructed summary variables resps and spouses, N=1801, original name: WULT9293.SUM2SYS. Background variables: basic characteristics/ place of birth/ residence/ housing situation/ household characteristics/ characteristics of parental family/household/ occupation/employment/ income/capital assets/ education/ social class/ politics/ religion/ consumption of durables/ readership, mass media, and 'cultural' exposure/ organizational membership.Also available in EASY: Familie-enquête Nederlandse bevolking / Family Survey Dutch Population 1998, 2000, 2003 and 2009.