Average weekly earnings for the whole economy, for total and regular pay, in real terms (adjusted for consumer price inflation), UK, monthly, seasonally adjusted.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

This project was designed to isolate the effects that individual crimes have on wage rates and housing prices, as gauged by individuals' and households' decisionmaking preferences changing over time. Additionally, this project sought to compute a dollar value that individuals would bear in their wages and housing costs to reduce the rates of specific crimes. The study used multiple decades of information obtained from counties across the United States to create a panel dataset. This approach was designed to compensate for the problem of collinearity by tracking how housing and occupation choices within particular locations changed over the decade considering all amenities or disamenities, including specific crime rates. Census data were obtained for this project from the Integrated Public Use Microdata Series (IPUMS) constructed by Ruggles and Sobek (1997). Crime data were obtained from the Federal Bureau of Investigation's Uniform Crime Reports (UCR). Other data were collected from the American Chamber of Commerce Researchers Association, County and City Data Book, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Independent variables for the Wages Data (Part 1) include years of education, school enrollment, sex, ability to speak English well, race, veteran status, employment status, and occupation and industry. Independent variables for the Housing Data (Part 2) include number of bedrooms, number of other rooms, building age, whether unit was a condominium or detached single-family house, acreage, and whether the unit had a kitchen, plumbing, public sewers, and water service. Both files include the following variables as separating factors: census geographic division, cost-of-living index, percentage unemployed, percentage vacant housing, labor force employed in manufacturing, living near a coastline, living or working in the central city, per capita local taxes, per capita intergovernmental revenue, per capita property taxes, population density, and commute time to work. Lastly, the following variables measured amenities or disamenities: average precipitation, temperature, windspeed, sunshine, humidity, teacher-pupil ratio, number of Superfund sites, total suspended particulate in air, and rates of murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, violent crimes, and property crimes.

Management summary

Decent Wage Bangladesh phase 1

The aims of the project Decent Wage Bangladesh phase 1 aimed to gain insight in actual wages, the cost of living and the collective labour agreements in four low-paid sectors in three regions of Bangladesh, in order to strengthen the power of trade unions. The project received funding from Mondiaal FNV in the Netherlands and seeks to contribute to the to the knowledge and research pathway of Mondiaal’s theory of change related to social dialogue. Between August and November 2020 five studies have been undertaken. In a face-to-face survey on wages and work 1,894 workers have been interviewed. In a survey on the cost-of-living 19,252 prices have been observed. The content of 27 collective agreements have been analysed. Fifth, desk research regarding the four sectors was undertaken. The project was coordinated by WageIndicator Foundation, an NGO operating websites with information about work and wages in 140 countries, a wide network of correspondents and a track record in collecting and analysing data regarding wage patters, cost of living, minimum wages and collective agreements. For this project WageIndicator collaborated with its partner Bangladesh Institute of Development Studies (BIDS) in Dhaka, with a track record in conducting surveys in the country and with whom a long-lasting relationship exists. Relevant information was posted on the WageIndicator Bangladesh website and visual graphics and photos on the project webpage. The results of the Cost-of-Living survey can be seen here.

Ready Made Garment (RMG), Leather and footwear, Construction and Tea gardens and estates are the key sectors in the report. In the Wages and Work Survey interviews have been held with 724 RMG workers in 65 factories, 337 leather and footwear workers in 34 factories, 432 construction workers in several construction sites and 401 workers in 5 tea gardens and 15 tea estates. The Wages and Work Survey 2020 was conducted in the Chattagram, Dhaka and Sylhet Divisions.

Earnings have been measured in great detail. Monthly median wages for a standard working week are BDT 3,092 in tea gardens and estates, BDT 9,857 in Ready made garment, Bangladeshi Taka (BDT) 10,800 in leather and footwear and BDT 11,547 in construction. The females’ median wage is 77% lower than that of the males, reflecting the gender pay gap noticed around the world. The main reason is not that women and men are paid differently for the same work, but that men and women work in gender-segregated parts of the labour market. Women are dominating the low-paid work in the tea gardens and estates. Workers aged 40 and over are substantially lower paid than younger workers, and this can partly be ascribed to the presence of older women in the tea gardens and estates. Workers hired via an intermediary have higher median wages than workers with a permanent contract or without a contract. Seven in ten workers report that they receive an annual bonus. Almost three in ten workers report that they participate in a pension fund and this is remarkably high in the tea estates, thereby partly compensating the low wages in the sector. Participation in an unemployment fund, a disability fund or medical insurance is hardly observed, but entitlement to paid sick leave and access to medical facilites is frequently mentioned. Female workers participate more than males in all funds and facilities. Compared to workers in the other three sectors, workers in tea gardens and estates participate more in all funds apart from paid sick leave. Social security is almost absent in the construction sector. Does the employer provide non-monetary provisions such as food, housing, clothing, or transport? Food is reported by almost two in ten workers, housing is also reported by more than three in ten workers, clothing by hardly any worker and transport by just over one in ten workers. Food and housing are substantially more often reported in the tea gardens and estates than in the other sectors. A third of the workers reports that overtime hours are paid as normal hours plus a premium, a third reports that overtime hours are paid as normal hours and another third reports that these extra hours are not paid. The latter is particularly the case in construction, although construction workers work long contractual hours they hardly have “overtime hours”, making not paying overtime hours not a major problem.

Living Wage calculations aim to indicate a wage level that allows families to lead decent lives. It represents an estimate of the monthly expenses necessary to cover the cost of food, housing, transportation, health, education, water, phone and clothing. The prices of 61 food items, housing and transportation have been collected by means of a Cost-of-Living Survey, resulting in 19,252 prices. In Chattagram the living wage for a typical family is BDT 13,000 for a full-time working adult. In Dhaka the living wage for a typical family is BDT 14,400 for a full-time working adult. In both regions the wages of the lowest paid quarter of the semi-skilled workers are only sufficient for the living wage level of a single adult, the wages of the middle paid quarter are sufficient for a single adult and a standard 2+2 family, and the wages in the highest paid quarter are sufficient for a single adult, a standard 2+2 family, and a typical family. In Sylhet the living wage for a typical family is BDT 16,800 for a full-time working adult. In Sylhet the wages of the semi-skilled workers are not sufficient for the living wage level of a single adult, let alone for a standard 2+2 family or a typical family. However, the reader should take into account that these earnings are primarily based on the wages in the tea gardens and estates, where employers provide non-monetary provisions such as housing and food. Nevertheless, the wages in Sylhet are not sufficient for a living wage.

Employment contracts. Whereas almost all workers in construction have no contract, in the leather industry workers have predominantly a permanent contract, specifically in Chattagram. In RMG the workers in Chattagram mostly have a permanent contract, whereas in Dhaka this is only the case for four in ten workers. RMG workers in Dhaka are in majority hired through a labour intermediary. Workers in the tea gardens and estates in Chattagram in majority have no contract, whereas in Sylhet they have in majority a permanent contract. On average the workers have eleven years of work experience. Almost half of the employees say they have been promoted in their current workplace.

COVID-19 Absenteeism from work was very high in the first months of the pandemic, when the government ordered a general lock down (closure) for all industries. Almost all workers in construction, RMG and leather reported that they were absent from work from late March to late May 2020. Female workers were far less absent than male workers, and this is primarily due to the fact that the tea gardens and estates with their highly female workforce did not close. From 77% in March-May absenteeism tremendously dropped till 5% in June-September. By September the number of absent days had dropped to almost zero in all sectors. Absenteeism was predominantly due to workplace closures, but in some cases due to the unavailability of transport. More than eight all absent workers faced a wage reduction. Wage reduction has been applied equally across the various groups of workers. The workers who faced reduced earnings reported borrowing from family or friends (66% of those who faced wage reduction), receiving food distribution of the government (23%), borrowing from a micro lenders (MFI) (20%), borrowing from other small lenders (14%), receiving rations from the employer (9%) or receiving cash assistance from the government or from non-governmental institutions (both 4%). Male workers have borrowed from family or friends more often than female workers, and so did workers aged 40-49 and couples with more than two children.

COVID-19 Hygiene at the workplace After return to work workers have assessed hygiene at the workplace and the supply of hygiene facilities. Workers are most positive about the safe distance or space in dining seating areas (56% assesses this as a low risk), followed by the independent use of all work equipment, as opposed to shared (46%). They were least positive about a safe distance between work stations and number of washrooms/toilets, and more than two in ten workers assess the number of washrooms/toilets even as a high risk. Handwashing facilities are by a large majority of the workers assessed as adequate with a low risk. In contrast, gloves were certainly not adequately supplied, as more than seven in ten workers state that these are not adequately supplied. This may be due to the fact that use of gloves could affect workers’ productivity, depending on the occupations.

Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.

Context

I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂

Content

The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares

The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.

Acknowledgements

The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables

Cover photo by Frans Ruiter from Unsplash

Inspiration

The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes

Click here for research on the effects of land use planning and gentrification on Portland’s communities of color and other vulnerable populations. Economic Vulnerability Assessment:This map identifies census tracts in Portland where residents are more vulnerable to changing economic conditions, making resisting displacement more difficult. These areas have residents who are more likely to:Be "housing cost-burdened", meaning they pay 30% or more of their income on housing costs.Belong to communities of color, particularly Black and Indigenous communities.Lack college degrees, andHave Lower Incomes.This dataset provides an update to the vulnerability risk analysis that Dr. Lisa Bates prepared for the Bureau of Planning and Sustainability in 2012.This latest dataset includes the following changes in methodology:Low income households were replaced with a size-adjusted median household income. This helps account for how different household sizes experience living with different incomes.Renter households were replaced with households that are housing cost-burdened (pay 30%+ on housing costs). This acknowledges that homeowners who pay a high percentage of their income on housing can be vulnerable to displacement as well.A new variable, Black and Indigenous population, was added to better incorporate past harms to these communities.The vulnerability score was rescaled from 0 to 100. A score of 60 or greater is considered a vulnerable tract.Data sources: U.S. Census Bureau, 2022 ACS 5-year estimates, Tables B25106, B25010, B03002, B19013, B15002. Prepared Summer 2024 by the Portland Bureau of Planning and Sustainability.Download dataset from City of Portland Open Data siteAbout the Bureau of Planning and SustainabilityThe Portland Bureau of Planning and Sustainability (BPS) develops creative and practical solutions to enhance Portland’s livability, preserve distinctive places and plan for a resilient future.Need more information about this data? Email bpsgis@portlandoregon.gov-- Additional Information: Category: Planning Purpose: Map the areas susceptible to gentrification pressure. Update Frequency: Yearly-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54141

Abstract copyright UK Data Service and data collection copyright owner. The Wealth and Assets Survey (WAS) is a longitudinal survey, which aims to address gaps identified in data about the economic well-being of households by gathering information on level of assets, savings and debt; saving for retirement; how wealth is distributed among households or individuals; and factors that affect financial planning. Private households in Great Britain were sampled for the survey (meaning that people in residential institutions, such as retirement homes, nursing homes, prisons, barracks or university halls of residence, and also homeless people were not included).The WAS commenced in July 2006, with a first wave of interviews carried out over two years, to June 2008. Interviews were achieved with 30,595 households at Wave 1. Those households were approached again for a Wave 2 interview between July 2008 and June 2010, and 20,170 households took part. Wave 3 covered July 2010 - June 2012, Wave 4 covered July 2012 - June 2014 and Wave 5 covered July 2014 - June 2016. Revisions to previous waves' data mean that small differences may occur between originally published estimates and estimates from the datasets held by the UK Data Service. These revisions are due to improvements in the imputation methodology.Note from the WAS team - November 2023:"The Office for National Statistics has identified a very small number of outlier cases present in the seventh round of the Wealth and Assets Survey covering the period April 2018 to March 2020. Our current approach is to treat cases where we have reasonable evidence to suggest the values provided for specific variables are outliers. This approach did not occur for two individuals for several variables involved in the estimation of their pension wealth. While we estimate any impacts are very small overall and median pension wealth and median total wealth estimates are unaffected, this will affect the accuracy of the breakdowns of the pension wealth within the wealthiest decile, and data derived from them. We are urging caution in the interpretation of more detailed estimates."Survey Periodicity - "Waves" to "Rounds"Due to the survey periodicity moving from "Waves" (July, ending in June two years later) to “Rounds” (April, ending in March two years later), interviews using the ‘Wave 6’ questionnaire started in July 2016 and were conducted for 21 months, finishing in March 2018. Data for round 6 covers the period April 2016 to March 2018. This comprises of the last three months of Wave 5 (April to June 2016) and 21 months of Wave 6 (July 2016 to March 2018). Round 5 and Round 6 datasets are based on a mixture of original wave-based datasets. Each wave of the survey has a unique questionnaire and therefore each of these round-based datasets are based on two questionnaires. While there may be some changes in the questionnaires, the derived variables for the key wealth estimates have not changed over this period. The aim is to collect the same data, though in some cases the exact questions asked may differ slightly. Detailed information on Moving the Wealth and Assets Survey onto a financial years’ basis was published on the ONS website in July 2019.Further information and documentation may be found on the ONS Wealth and Assets Survey webpage. Users are advised to the check the page for updates before commencing analysis.Users should note that issues with linking have been reported and the WAS team are currently investigating.Secure Access WAS dataThe Secure Access version of the WAS includes additional, detailed geographical variables not included in the End User Licence (EUL) version (SN 7215). These include:WardsParliamentary Constituency Areas for Wave 1 onlyCensus Output AreasLower Layer Super Output AreasLocal AuthoritiesLocal Education AuthoritiesProspective users of the Secure Access version of the WAS will need to fulfil additional requirements, including completion of face-to-face training, and agreement to the Secure Access User Agreement and Licence Compliance Policy, in order to obtain permission to use that version (see 'Access' section below). Users are therefore strongly encouraged to download the EUL version (SN 7215) to see if it contains sufficient detail for their needs, before considering making an application for the Secure Access version.Latest Edition InformationFor the ninth edition (October 2022), the Round 7 person and household data have been updated. The Round 7 Wave 1 Variable Catalogue Excel file has also been updated. Main Topics: The WAS questionnaire was divided into two parts with all adults aged 16 years and over (excluding those aged 16 to 18 currently in full-time education) being interviewed in each responding household. Household schedule: This was completed by one person in the household (usually the head of household or their partner) and predominantly collected household level information such as the number, demographics and relationship of individuals to each other, as well as information about the ownership, value and mortgages on the residence and other household assets. Individual schedule: This was given to each adult in the household and asked questions about economic status, education and employment, business assets, benefits and tax credits, saving attitudes and behaviour, attitudes to debt, insolvency, major items of expenditure, retirement, attitudes to saving for retirement, pensions, financial assets, non-mortgage debt, investments and other income. Multi-stage stratified random sample Face-to-face interview 2006 2020 ADOPTION PAY AGE AIRCRAFT ALIMONY ASSETS ATTITUDES TO SAVING BANK ACCOUNTS BEDROOMS BICYCLES BOATS BONDS BUSINESS OWNERSHIP BUSINESS RECORDS BUSINESSES CARAVANS CARE OF DEPENDANTS CARERS BENEFITS CARS CHILD BENEFITS CHILD SUPPORT PAYMENTS CHILD TRUST FUNDS COHABITING COMMERCIAL BUILDINGS COST OF LIVING COSTS CREDIT CARD USE DEBILITATIVE ILLNESS DEBTS DISABILITIES EARLY RETIREMENT ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EDUCATIONAL FEES EDUCATIONAL GRANTS EDUCATIONAL STATUS EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENDOWMENT ASSURANCE ESTATES ETHNIC GROUPS EXPENDITURE FAMILY BENEFITS FAMILY INCOME FAMILY MEMBERS FINANCIAL ADVICE FINANCIAL COMPENSATION FINANCIAL DIFFICULTIES FINANCIAL SERVICES FREQUENCY OF PAY FRINGE BENEFITS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GENDER GIFTS Great Britain HEALTH HEALTH STATUS HIRE PURCHASE HOME BUILDINGS INSU... HOME BUYING HOME CONTENTS INSUR... HOME OWNERSHIP HOUSE PRICES HOUSEHOLD BUDGETS HOUSEHOLD HEAD S EC... HOUSEHOLD HEAD S SO... HOUSEHOLD INCOME HOUSEHOLDERS HOUSEHOLDS HOUSING HOUSING AGE HOUSING ECONOMICS HOUSING FINANCE HOUSING TENURE ILL HEALTH INCOME INCOME TAX INCONTINENCE INFORMAL CARE INHERITANCE INSOLVENCIES INSURANCE CLAIMS INTELLECTUAL IMPAIR... INTEREST FINANCE INVESTMENT Income JOB HUNTING JOB SEEKER S ALLOWANCE LAND OWNERSHIP LAND VALUE LANDLORDS LIFE INSURANCE LOANS Labour and employment MAIL ORDER SERVICES MARITAL STATUS MATERNITY BENEFITS MATERNITY PAY MATHEMATICS MOBILE HOMES MORTGAGE ARREARS MORTGAGE PROTECTION... MORTGAGES MOTOR VEHICLE VALUE MOTOR VEHICLES MOTORCYCLES OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONS OLD AGE BENEFITS ONE PARENT FAMILIES OVERDRAFTS PART TIME EMPLOYMENT PARTNERSHIPS BUSINESS PATERNITY BENEFITS PATERNITY PAY PENSION BENEFITS PENSION CONTRIBUTIONS PENSIONS PERSONAL DEBT REPAY... PERSONAL FINANCE MA... PHYSICAL MOBILITY PLACE OF BIRTH PRIVATE PENSIONS PRIVATE PERSONAL PE... PROFIT SHARING PROFITS QUALIFICATIONS REDUNDANCY PAY RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RENTED ACCOMMODATION RENTS RESIDENTIAL BUILDINGS RETIREMENT RETIREMENT AGE ROYALTIES SAVINGS SAVINGS ACCOUNTS AN... SECOND HOMES SELF EMPLOYED SELLING SHARED HOME OWNERSHIP SHARES SICK PAY SICKNESS AND DISABI... SOCIAL HOUSING SOCIAL SECURITY SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SPOUSES STAKEHOLDER PENSIONS STATE RETIREMENT PE... STATUS IN EMPLOYMENT STUDENT LOANS SUBSIDIARY EMPLOYMENT SUPERVISORY STATUS SURVIVORS BENEFITS TAX RELIEF TAXATION TENANTS HOME PURCHA... TIED HOUSING TOP MANAGEMENT TRANSPORT FARES TRUSTS UNEARNED INCOME UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS WAGES WAR VETERANS BENEFITS WEALTH WILLS WINNINGS WORKPLACE property and invest...

Abstract (en): The 1991 New [Social Security] Beneficiary Followup (NBF) is the second wave of the Social Security Administration's NEW [SOCIAL SECURITY] BENEFICIARY SURVEY, 1988: UNITED STATES (ICPSR 8510). Together, the two surveys are referred to as the New Beneficiary Data System (NBDS). The NBDS contains information on the changing circumstances of aged and disabled Title II beneficiaries. This wave includes information from administrative records as well as data from followup interviews with survivors from the original survey. The NBS was conducted in late 1982 with a sample representing nearly 2 million persons who had begun receiving Social Security benefits during a 12-month period in 1980-1981. Personal interviews were completed with three types of beneficiaries: 9,103 retired workers, 5,172 disabled workers, and 2,417 wife or widow beneficiaries. In addition, interviews were obtained from 1,444 aged persons who were entitled to Medicare benefits but were not receiving Social Security payments because of high earnings. The NBS interviews covered a wide range of topics, including demographic characteristics of the respondent, spouse, and any other persons in the household, as well as marital and childbearing history, employment history, current income and assets, and health. Selected data were also gathered from spouses and added from administrative records. The NBF followup interviews were conducted throughout 1991 with surviving original sample persons from the NBS and surviving spouses of NBS decedents. The NBF updated information on economic circumstances obtained in the NBS, and added or expanded sections dealing with health, family contacts, and post-retirement employment. The interviews also probed major changes in living circumstances that might cause changes in economic status (for example, death of a spouse, episodes of hospitalization, and changes of residence). In addition, disabled workers were asked about their efforts to return to work, experiences with rehabilitation services, and knowledge of Social Security work incentive provisions. Since the 1982 survey, selected information on the NBS respondents has been compiled periodically from Social Security, Supplemental Security Income (SSI), and Medicare records. These administrative data, which can be linked to the survey data, make it possible to analyze changes in NBS respondents' covered earnings, cash benefits, participation in the SSI program, and health expenses. The 1982 NBS was a nationally representative, cross-sectional household survey using samples randomly selected from the Social Security Administration's Master Beneficiary Record (MBR). The 1991 NBF reinterviewed the original sample persons in the NBS or surviving spouses of deceased original sample persons. 2006-01-18 File MN6457.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-12 All files were removed from dataset 4 and flagged as study-level files, so that they will accompany all downloads. (1) All data for the NBDS are matchable using the variable CASE, which is a unique number for each original sample respondent common across all data files: the NBS, the NBF for original sample respondents, the NBF for surviving spouses of original sample respondents, and the administrative data. Surviving spouses have the same case number as the original sample respondents. (2) Additional hardcopy documentation is available upon request from ICPSR.

BackgroundReducing health inequalities is an important policy objective but there is limited quantitative information about the impact of specific interventions.ObjectivesTo provide estimates of the impact of a range of interventions on health and health inequalities.Materials and MethodsLiterature reviews were conducted to identify the best evidence linking interventions to mortality and hospital admissions. We examined interventions across the determinants of health: a ‘living wage’; changes to benefits, taxation and employment; active travel; tobacco taxation; smoking cessation, alcohol brief interventions, and weight management services. A model was developed to estimate mortality and years of life lost (YLL) in intervention and comparison populations over a 20-year time period following interventions delivered only in the first year. We estimated changes in inequalities using the relative index of inequality (RII).ResultsIntroduction of a ‘living wage’ generated the largest beneficial health impact, with modest reductions in health inequalities. Benefits increases had modest positive impacts on health and health inequalities. Income tax increases had negative impacts on population health but reduced inequalities, while council tax increases worsened both health and health inequalities. Active travel increases had minimally positive effects on population health but widened health inequalities. Increases in employment reduced inequalities only when targeted to the most deprived groups. Tobacco taxation had modestly positive impacts on health but little impact on health inequalities. Alcohol brief interventions had modestly positive impacts on health and health inequalities only when strongly socially targeted, while smoking cessation and weight-reduction programmes had minimal impacts on health and health inequalities even when socially targeted.ConclusionsInterventions have markedly different effects on mortality, hospitalisations and inequalities. The most effective (and likely cost-effective) interventions for reducing inequalities were regulatory and tax options. Interventions focused on individual agency were much less likely to impact on inequalities, even when targeted at the most deprived communities.

Abstract copyright UK Data Service and data collection copyright owner.The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP. The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage. The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage. Safe Room Access FRS data In addition to the standard End User Licence (EUL) version, Safe Room access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 7196, where the extra contents are listed. The Safe Room version also includes secure access versions of the Households Below Average Income (HBAI) and Pensioners' Incomes (PI) datasets. The Safe Room access data are currently only available to UK HE/FE applicants and for access at the UK Data Archive's Safe Room at the University of Essex, Colchester. Prospective users of the Safe Room access version of the FRS/HBAI/PI will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from Guidance on applying for the Family Resources Survey: Secure Access.FRS, HBAI and PIThe FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503 respectively. The secure access versions are held within the Safe Room FRS study under SN 7196 (see above). The FRS aims to: support the monitoring of the social security programme; support the costing and modelling of changes to national insurance contributions and social security benefits; provide better information for the forecasting of benefit expenditure. From April 2002, the FRS was extended to include Northern Ireland. Detailed information regarding anonymisation within the FRS can be found in the anonymised variables volume of the dataset documentation. For the second edition (October 2014) the data have been re-grossed following revision of the FRS grossing methodology to take account of the 2011 Census mid-year population estimates. New variable GROSS4 has been added to the dataset. Main Topics: Household characteristics (composition, tenure type); tenure and housing costs including Council Tax, mortgages, insurance, water and sewage rates; school milk and meals; educational grants and loans; children in education; informal care (given and received); childcare; occupation and employment; health restrictions on work; children's health; wage details; self-employed earnings; personal and occupational pension schemes; income and benefit receipt; income from pensions and trusts, royalties and allowances, maintenance and other sources; income tax payments and refunds; National Insurance contributions; earnings from odd jobs; children's earnings; interest and dividends; investments; National Savings products; assets. Standard Measures Standard Occupational Classification Multi-stage stratified random sample Face-to-face interview Computer Assisted Personal Interviewing 2007 2008 ABSENTEEISM ACADEMIC ACHIEVEMENT ADMINISTRATIVE AREAS AGE APARTMENTS APPLICATION FOR EMP... APPOINTMENT TO JOB ATTITUDES BANK ACCOUNTS BEDROOMS BONDS BUILDING SOCIETY AC... BUSES BUSINESS RECORDS CARE OF DEPENDANTS CARE OF THE DISABLED CARE OF THE ELDERLY CHARITABLE ORGANIZA... CHILD BENEFITS CHILD CARE CHILD DAY CARE CHILD MINDERS CHILD MINDING CHILD SUPPORT PAYMENTS CHILD WORKERS CHILDREN CHRONIC ILLNESS CIVIL PARTNERSHIPS COHABITATION COLOUR TELEVISION R... COMMERCIAL BUILDINGS COMMUTING CONCESSIONARY TELEV... CONSUMPTION COST OF LIVING COSTS COUNCIL TAX CREDIT UNIONS Consumption and con... DAY NURSERIES DEBILITATIVE ILLNESS DEBTS DISABILITIES DISABILITY DISCRIMI... DISABLED CHILDREN DISABLED PERSONS DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATION EDUCATIONAL BACKGROUND EDUCATIONAL FEES EDUCATIONAL GRANTS EDUCATIONAL INSTITU... EDUCATIONAL VOUCHERS ELDERLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENDOWMENT ASSURANCE ETHNIC GROUPS EXPENDITURE EXTRACURRICULAR ACT... FAMILIES FAMILY MEMBERS FINANCIAL DIFFICULTIES FINANCIAL INSTITUTIONS FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD FREE SCHOOL MEALS FRIENDS FRINGE BENEFITS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION Family life and mar... GENDER GIFTS GRANDPARENTS GRANTS HEADS OF HOUSEHOLD HEALTH HEALTH SERVICES HEARING IMPAIRED PE... HEARING IMPAIRMENTS HIGHER EDUCATION HOLIDAY LEAVE HOME BASED WORK HOME OWNERSHIP HOME SHARING HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLD HEAD S OC... HOUSEHOLD INCOME HOUSEHOLDS HOUSING HOUSING FACILITIES HOUSING FINANCE HOUSING TENURE INCOME INCOME TAX INDUSTRIES INSURANCE INSURANCE PREMIUMS INTEREST FINANCE INVESTMENT INVESTMENT RETURN Income JOB DESCRIPTION JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS LEAVE LOANS LODGERS LOW PAY MANAGERS MARITAL STATUS MARRIED WOMEN MARRIED WOMEN WORKERS MATERNITY LEAVE MATERNITY PAY MEDICAL PRESCRIPTIONS MORTGAGE PROTECTION... MORTGAGES MOTORCYCLES NEIGHBOURS Northern Ireland OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONS ONE PARENT FAMILIES ONLINE BANKING OVERTIME PARENTS PART TIME COURSES PART TIME EMPLOYMENT PARTNERSHIPS BUSINESS PASSENGERS PATERNITY LEAVE PENSION CONTRIBUTIONS PENSIONS PHYSICALLY DISABLED... PHYSICIANS POVERTY PRIVATE EDUCATION PRIVATE PERSONAL PE... PRIVATE SCHOOLS PROFITS QUALIFICATIONS RATES REBATES REDUNDANCY REDUNDANCY PAY REMOTE BANKING RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY RETIREMENT ROOM SHARING ROOMS ROYALTIES SAVINGS SAVINGS ACCOUNTS AN... SCHOLARSHIPS SCHOOL MILK PROVISION SCHOOLCHILDREN SCHOOLS SEASONAL EMPLOYMENT SECONDARY EDUCATION SECONDARY SCHOOLS SELF EMPLOYED SEWAGE DISPOSAL AND... SHARES SHIFT WORK SICK LEAVE SICK PAY SICK PERSONS SOCIAL CLASS SOCIAL HOUSING SOCIAL SECURITY SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIAL SERVICES SOCIAL SUPPORT SOCIO ECONOMIC INDI... SOCIO ECONOMIC STATUS SPECIAL EDUCATION SPOUSES STATE EDUCATION STATE HEALTH SERVICES STATE RETIREMENT PE... STUDENT HOUSING STUDENT LOANS STUDENTS STUDY SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS Social stratificati... TAXATION TELEPHONES TELEVISION LICENCES TELEVISION RECEIVERS TEMPORARY EMPLOYMENT TENANCY AGREEMENTS TENANTS HOME PURCHA... TERMINATION OF SERVICE TIED HOUSING TIME TOP MANAGEMENT TRAINING UNEARNED INCOME UNEMPLOYED UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... UNWAGED WORKERS VISION IMPAIRMENTS VISUALLY IMPAIRED P... VOCATIONAL EDUCATIO... VOLUNTARY WORK WAGES WATER RATES WIDOWED WORKING MOTHERS WORKING WOMEN property and invest...

Minimum Wages in Philippines remained unchanged at 645 PHP/day in 2025 from 645 PHP/day in 2024. This dataset provides - Philippines Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Minimum Wages in El Salvador increased to 408.80 USD/Month in 2025 from 365 USD/Month in 2024. This dataset includes a chart with historical data for El Salvador Minimum Wages.

Attitudes to the current political situation in the GDR, future expectations and stand on German-German unification. Topics: Evaluation of personal prospects for the future; stand on remaining in Eastern Germany; reasons against remaining in Eastern Germany (scale); goals in life (scale); expectations of immediate development on the territory of the GDR regarding economic upturn, social security, new jobs, just pay, mass unemployment, equal rights of Germans, willingness to make sacrifices by the citizens of the FRG, wage increase; evaluation of personal prospects for the future in various areas of life (scale); change in the cost of living since currency union; comparison of income and cost of living; evaluation of statements on willingness to work in a different occupation, expenditure of German Marks just for products from the West, demonstrations against the economic policy of the government, strikes for higher wages, wage demands only depending on higher work productivity; attitude to regulation of the right to asylum in the GDR for politically persecuted or economic refugees; personal interest in politics; evaluation of the demand for unity of Germany within the borders of 1937; stand on actions against foreigners; stand on German-German unification and the speed of the unification process; predicted time required until achievement of equivalent living conditions in East and West; participation and party preference in the election for the East German Parliament on 18 Mar. 1990; intended participation and party preference in the election of the state government and the all-German Federal Parliament election; preferred governing party; trust in politicians from East and West (scale); trust in various parties (scale); membership in parties and movements; religiousness; full-time or part-time employment; current job security and prospect of a new job; feeling of being threatened in view of increase in cost of living, crime, aggressiveness and violence, right-wing and left-wing radicalism, drug abuse, increasing egoism, personal unemployment; self-assessment of psychological condition (scale); satisfaction with economic, political and social situations such as housing conditions, standard of living, income, pension, earnings-related unemployment benefit, life all in all; personal identity; evaluation of experiences with the market economy; Supplemental form: possession and intended purchase of a car; age and brand of desired car; maximum expenditure for a car and planned borrowing. Einstellungen zur aktuell-politischen Situation in der DDR, Zukunftserwartungen und Haltung zur deutsch-deutschen Vereinigung. Themen: Bewertung der persönlichen Zukunftsaussicht; Haltung zum Verbleib in Ostdeutschland; Gründe gegen den Verbleib in Ostdeutschland (Skala); Lebensziele (Skala); Erwartungen an die unmittelbare Entwicklung auf dem Territorium der DDR hinsichtlich Wirtschaftsaufschwung, soziale Sicherheit, neue Arbeitsplätze, gerechte Entlohnung, Massenarbeitslosigkeit, Gleichberechtigung der Deutschen, Opferbereitschaft der BRD-Bürger, Lohnanstieg; Bewertung der persönlichen Zukunftsaussicht in verschiedenen Lebensbereichen (Skala); Veränderung der Lebenshaltungskosten seit der Währungsunion; Vergleich Einkommen und Lebenshaltungskosten; Bewertung von Aussagen zur Bereitschaft zu berufsfremder Tätigkeit, Ausgabe von D-Mark nur für Westprodukte, Demonstrationen gegen die Wirtschaftspolitik der Regierung, Streiks für höhere Löhne, Lohnforderungen nur in Abhängigkeit von höherer Arbeitsproduktivität; Einstellung zur Regelung des Asylrechts in der DDR für politisch Verfolgte bzw. Wirtschaftsflüchtlinge; eigene politische Interessiertheit; Bewertung der Forderung nach der Einheit Deutschlands in den Grenzen von 1937; Haltung zu Aktionen gegen Ausländer; Haltung zur deutsch-deutschen Vereinigung und zum Tempo des Vereinigungsprozesses; prognostizierte Dauer bis zur Angleichung der Lebensverhältnisse in Ost und West; Teilnahme und Parteienpräferenz bei Volkskammerwahl am 18.3.1990; beabsichtigte Teilnahme und Parteienpräferenz bei Wahl der Länderregierungen und der gesamtdeutschen Bundestagswahl; präferierte Regierungspartei; Vertrauen in Politiker aus Ost und West (Skala); Vertrauen in verschiedene Parteien (Skala); Mitgliedschaft in Parteien und Bewegungen; Religiosität; Vollzeit- bzw. Teilzeitbeschäftigung; Sicherheit des gegenwärtigen Arbeitsplatzes und Aussicht auf einen neuen; Gefühl des Bedrohtseins angesichts Lebensverteuerung, Kriminalität, Aggressivität und Gewalt, Rechts- und Linksradikalismus, Drogenmißbrauch, zunehmenden Egoismus, eigene Arbeitslosigkeit; Selbsteinschätzung der psychischen Befindlichkeit (Skala); Zufriedenheit mit wirtschaftlichen, politischen und sozialen Situationen wie Wohnverhältnisse, Lebensstandard, Einkommen, Rente, Arbeitslosengeld, Leben insgesamt; persönliche Identität; Bewertung der Erfahrungen mit der Marktwirtschaft; Zusatzbogen: Besitz und beabsichtigter Erwerb eines PKW's; Alter und Marke des gewünschten PKW's; maximale Ausgaben für einen PKW und geplante Kreditaufnahme.

Industrial working world and personal life-style in a small town in the Bergisches Land. Topics: Local ties; regional origins; local residency; judgement on housing situation; satisfaction with housing; rent costs; social ties; degree of motorization of family; decision criteria in choice of occupation; change of occupation and change of job; attitude to change of workplace; professional history; occupational satisfaction; criteria for occupation success; private contacts with colleagues; occupation of father and grandfather; wage satisfaction and wage equity; overtime and judgement on stress from shift work; attitude to the 5-day week; company social services; vacation arrangement in the company; frequency of vacation and vacation destinations; means of transport used on vacation trips; participation in tourist parties; interest in a company excursion; commuting times to work; acceptance of a job even outside of the city; judgement on the image of local companies; breakfast habits and meals together with the family; quiet time after work; free time and leisure activity; detailed determination of frequency and type of events attended; helping by the husband in housework; attitude to employment of women; age and occupation of children; attitude to a tenth required year of school; satisfaction with personal school education and the education of the children; media usage; political interest; detailed determination of shopping habits and judgement on shopping opportunities in the city; orders with mail-order firms; comparative judgement on the standard of living; assessment of the cost of living. Demography: age (classified); sex; marital status; number of children religious denomination; religiousness; school education; vocational training; further education; professional career; size of household; self-assessment of social class; social origins; refugee status; possession of durable economic goods membership; military service; health. Interviewer rating: interview surroundings; interruptions of interview; cabability of giving an opinion and willingness of respondent to cooperate; housing conditions of respondent and over-all impression of respondent. Industrielle Arbeitswelt und persönliche Lebensführung in einer Kleinstadt im Bergischen Land. Themen: Ortsverbundenheit; regionale Herkunft; Ortsansässigkeit; Beurteilung der Wohnsituation; Wohnzufriedenheit; Mietkosten; soziale Bindungen; Motorisierungsgrad der Familie; Entscheidungskriterien bei der Berufswahl; Berufswechsel und Arbeitsplatzwechsel; Einstellung zum Wechsel des Arbeitsplatzes; Berufsweg; Berufszufriedenheit; Kriterien für Berufserfolg; private Kontakte zu den Kollegen; Beruf von Vater und Großvater; Lohnzufriedenheit und Lohngerechtigkeit; Überstunden und Beurteilung der Belastungen durch Schichtarbeit; Einstellung zur 5-Tage-Woche; betriebliche Sozialleistungen; Urlaubsregelung im Betrieb; Urlaubshäufigkeit und Urlaubsziele; benutztes Verkehrsmittel bei Urlaubsreisen; Teilnahme an Reisegesellschaften; Interesse an einem Betriebsausflug; Wegezeiten zur Arbeit; Übernahme einer Arbeit auch außerhalb des Ortes; Beurteilung des Images lokaler Betriebe; Frühstücksgewohnheiten und gemeinsame Mahlzeiten mit der Familie; Ruhezeit nach der Arbeit; freie Zeit und Freizeitbeschäftigung; detaillierte Ermittlung von Häufigkeit und Art besuchter Veranstaltungen; Mithelfen des Mannes bei der Hausarbeit; Einstellung zur Berufstätigkeit der Frau; Alter und Beruf der Kinder; Einstellung zu einem zehnten Pflichtschuljahr; Zufriedenheit mit der eigenen Schulausbildung und der Ausbildung der Kinder; Mediennutzung; politisches Interesse; detaillierte Ermittlung der Einkaufsgewohnheiten und Beurteilung der Einkaufsmöglichkeiten am Ort; Versandhausbestellungen; vergleichende Beurteilung des Lebensstandards; Einschätzung der Lebenshaltungskosten. Demographie: Alter (klassiert); Geschlecht; Familienstand; Kinderzahl; Konfession; Religiosität; Schulbildung; Berufsausbildung; Weiterbildung; Berufslaufbahn; Haushaltsgröße; Selbsteinschätzung der Schichtzugehörigkeit; soziale Herkunft; Flüchtlingsstatus; Besitz langlebiger Wirtschaftsgüter; Mitgliedschaft; Militärdienst; Gesundheit. Interviewerrating: Interviewumfeld; Unterbrechungen des Interviews; Aussagefähigkeit und Kooperationsbereitschaft des Befragten; Wohnverhältnisse des Befragten und Gesamteindruck vom Befragten.

Abstract copyright UK Data Service and data collection copyright owner. To investigate the role of national wage settlements in the process of wage inflation. Main Topics: Variables Settlements: title of agreement, date of implementation, date of settlement, standard weekly hours, time rate of minimum earnings level, basic weekly/hourly wage of top male/semi-skilled male/bottom male/female, arbitration, Government intervention, staged settlement code, cost of living clause. Agreements: title, main order heading, bargaining system at 1950/1973, date of change from one bargaining system to another, trade unions involved and operation dates, geographical area covered at 1950/1973, date of change of geographical area covered, number of workers covered at dates 1950, 1955, 1965, 1970, 1975, wage rate as percentage of standard weekly earnings, source of wage rate information. Retail Price Index: year/week of observation, RPI all items/foods/all except foods/all except seasonal foods. No information recorded Compilation or synthesis of existing material

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Company Cars (Module 1a): questions about the number of petrol-fuelled and diesel-fuelled company cars as well as total mileage and total business mileage. Also questions are asked on age, engine size and value of car when new. Mortgage Arrears (Module 2): source of mortgage, if any, and whether behind in payments. Also 2 questions on whether bought from a Right to Buy scheme. Housing Repossessions (Module 2a): questions about repossessions and voluntary surrenders of accommodation as a result of falling behind with mortgage payments. War Pensions (Modules 50 and 51): War pensions sample. War pensions trailer. All ex-Forces personnel in the household are identified and asked about their experience of finding out about and claiming War Disablement Pensions. Sunday Working (Module 52): questions about current Sunday working and whether shopping and other activities done on Sundays. A sample of people's employers will also be followed up by telephone and asked about their use of Sunday working. Multi-stage stratified random sample Face-to-face interview 1992 AGE ARMED FORCES ATTITUDES CAR ENGINES CHILD BENEFITS CHILDREN COMPANY CARS DEBTS DIESEL OIL DISTANCE MEASUREMENT DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS FAMILY MEMBERS FINANCIAL SUPPORT FULL TIME EMPLOYMENT GENDER HEADS OF HOUSEHOLD HOME BUYING HOME OWNERSHIP HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLDS HOUSING FINANCE HOUSING TENURE Housing INCOME INDUSTRIES INTEREST FINANCE INVESTMENT RETURN Income JOB HUNTING LEAVE LEISURE TIME ACTIVI... Labour and employment MANAGERS MARITAL STATUS MILITARY SERVICE MORTGAGES MOTOR VEHICLES OCCUPATIONAL PENSIONS OCCUPATIONS ONE PARENT FAMILIES PART TIME EMPLOYMENT PETROL PRICES RATES OF PAY RELIGIOUS BEHAVIOUR RENTED ACCOMMODATION REPOSSESSION HOUSES RETIREMENT SATISFACTION SELF EMPLOYED SHARED HOME OWNERSHIP SIZE SOCIAL HOUSING SOCIAL SECURITY BEN... STUDENTS SUBSIDIARY EMPLOYMENT SUNDAY WORKING SUPERVISORS Social behaviour an... TEMPORARY EMPLOYMENT TENANTS HOME PURCHA... TRAVEL UNEMPLOYED WAGES WAR VETERANS property and invest...

Abstract copyright UK Data Service and data collection copyright owner.The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The study is being conducted in Ethiopia, India, Peru and Vietnam and has tracked the lives of 12,000 children over a 20-year period, through 5 (in-person) survey rounds (Round 1-5) and, with the latest survey round (Round 6) conducted over the phone in 2020 and 2021 as part of the Listening to Young Lives at Work: COVID-19 Phone Survey.Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, Round 4 surveyed them at 12 and 19 years old, and Round 5 surveyed them at 15 and 22 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.The 2020 phone survey consists of three phone calls (Call 1 administered in June-July 2020; Call 2 in August-October 2020 and Call 3 in November-December 2020) and the 2021 phone survey consists of two additional phone calls (Call 4 in August 2021 and Call 5 in October-December 2021) The calls took place with each Young Lives respondent, across both the younger and older cohort, and in all four study countries (reaching an estimated total of around 11,000 young people).The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.Further information about the survey, including publications, can be downloaded from the Young Lives website. This study includes data and documentation for Round 5 only. Round 1 is available under SN 5307, Round 2 under SN 6852, Round 3 under SN 6853 and Round 4 under SN 7931.Latest edition:For the second edition (August 2022), the Peruvian younger cohort household level data file (pe_r5_ychh_youngerhousehold) has been updated to include the mother's health variables. Main Topics: Older Cohort Household Questionnaire (age 22): includes sections on: Parental background; Household education; Livelihoods and asset framework; Economic changes and recent life history; Socio-economic status; Public Programmes.Older Cohort Child Questionnaire (age 22): includes sections on: Mobility; Subjective Wellbeing; Education; General Perceptions; Employment, earnings and time-use; Feelings and Attitudes; Household decision-making; Marital and Living Arrangements; Gender roles and social norms; Fertility; Health and Nutrition; Computer and other digital devices and internet use and skills; Social Capital; Anthropometry.Older Cohort Self-Administered Questionnaire (age 22): includes sections on: Relationship with parents, Smoking, Violence, Alcohol, Sexual behaviour (administered in Peru only).Younger Cohort Household Questionnaire (age 15): includes sections: on Parental background; Household education and time use; Livelihoods and asset framework; Consumption; Social Capital; Economic changes and recent life history; Socio-economic status, Health; Anthropometry (for the study child and a sibling); Caregiver perceptions and attitudes.Younger Cohort Child Questionnaire (age 15): includes sections on Mobility; Time use and work activities; Education and job aspirations; Health; Social norms and gender roles; social networking; Marriage and parenthood expectation; Feelings and Attitudes; Computer, other digital devices and internet usage; Anthropometry.Younger Cohort Cognitive Tests (age 15): include Peabody Picture Vocabulary Test (administered to the study child and a sibling); Mathematics test; Reading comprehension test. In Ethiopia only an additional English and Amharic reading test.Community Questionnaire: (administered in the main communities where Young Lives children live) includes sections on: General characteristics of the locality; Social environment; Access to services; Economy; Local prices; Social protection; Educational services; Health services; Migration.Mini-community questionnaire: (administered in communities into which one or study children moved) includes sections on: General characteristics of the locality; Social environment; Access to Services; Economy; Local prices. Purposive selection/case studies Interview Self-administered questionnaire 2016 ACCESS TO HEALTH SE... ACCESS TO PUBLIC SE... ACCIDENTS ADULT EDUCATION AGE AGRICULTURAL EQUIPMENT AGRICULTURE ALCOHOL USE ALIMONY ANIMAL HUSBANDRY ANTENATAL CARE ANTHROPOMETRIC DATA ARABLE FARMING ASPIRATION ASSETS ATTITUDES Agriculture and rur... BIRTH CONTROL BIRTH WEIGHT BREAST FEEDING BUILDING MAINTENANCE CARE OF DEPENDANTS CASTE CHILD CARE CHILD DAY CARE CHILD DEVELOPMENT CHILD LABOUR CHILD WORKERS CHILDBIRTH CHILDREN CHRONIC ILLNESS COHABITATION COMMUNITIES COMMUNITY ACTION COMMUNITY BEHAVIOUR COMMUNITY PARTICIPA... COMPUTER LITERACY CONDITIONS OF EMPLO... CONSUMER GOODS COST OF LIVING COSTS CREDIT CROP YIELDS CROPS CULTURAL GOODS DEBILITATIVE ILLNESS DEBTS DECISION MAKING DEVELOPMENT PROGRAMMES DIETARY HABITS DISABILITIES DISASTERS DOMESTIC APPLIANCES DOMESTIC RESPONSIBI... DRIVING LICENCES ECONOMIC ACTIVITY EDUCATIONAL ATTENDANCE EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL CHOICE EDUCATIONAL FEES EDUCATIONAL TESTS ELECTRIC POWER EMOTIONAL STATES EMPLOYEES EMPLOYMENT HISTORY ETHNIC GROUPS Education Ethiopia FAMILIES FAMILY LIFE FAMILY MEMBERS FARM VEHICLES FATHERS FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD FOOD AID FOOD AND NUTRITION FOOD SHORTAGES FOSSIL FUELS FRIENDS FRINGE BENEFITS Family life and mar... GENDER GENDER ROLE GIFTS GROUPS General health and ... HANDICRAFTS HEALTH HEATING SYSTEMS HEIGHT PHYSIOLOGY HOME OWNERSHIP HOMEWORK HOUSEHOLD BUDGETS HOUSEHOLD INCOME HOUSEHOLDS HOUSING CONSTRUCTION HOUSING IMPROVEMENT Housing ILL HEALTH IMMUNIZATION IMPRISONMENT INCOME INDUSTRIES INFANT FEEDING INFANTS INFORMAL CARE INJURIES INTERNET ACCESS INTERNET USE India JOB HUNTING KITCHENS LABOUR MIGRATION LAND OWNERSHIP LAND TENURE LANGUAGE SKILLS LANGUAGES USED AT HOME LAVATORIES LEARNING LIFE EVENTS LIFE SATISFACTION LITERACY LIVESTOCK LIVING CONDITIONS LOANS Labour and employment MARITAL HISTORY MARITAL STATUS MARRIAGE CONTRACTS MARRIAGE CUSTOMS MARRIAGE DISSOLUTION MEALS MEDICAL CARE MEMBERSHIP MOBILE PHONES MORTGAGES MOTHER TONGUE MOTHERS MOTOR VEHICLES NUMERACY OCCUPATIONS PAYMENTS PERSONAL FINANCE MA... PERSONALITY TRAITS POLLUTION POPULATION MIGRATION POVERTY PREGNANCY PREMATURE BIRTHS PRICES PRIVATE VOLUNTARY O... PUBERTY PURCHASING Peru QUALITY OF LIFE REFUSE RENEWABLE ENERGY RESIDENTIAL MOBILITY ROOMS RURAL AREAS SATISFACTION SCHOOL PUNISHMENTS SCHOOLCHILDREN SCHOOLS SEXUAL AWARENESS SEXUAL BEHAVIOUR SIBLINGS SMOKING SOCIAL CAPITAL SOCIAL CLASS SOCIAL NETWORKS SOCIAL PROBLEMS SOCIAL SECURITY SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPOUSES STANDARD OF LIVING STRUCTURAL ELEMENTS... STUDENT ATTITUDE STUDENT TRANSPORTATION Specific social ser... TELEPHONES TERTIARY EDUCATION TIME BUDGETS TRAINING TRANSPORT TRANSPORT FARES TRAVELLING TIME TRUANCY Time use UNITS OF MEASUREMENT URBAN AREAS VOTING BEHAVIOUR Vietnam WAGES WATER POLLUTION WEIGHT PHYSIOLOGY WOMEN WORKING CONDITIONS WORKPLACE YOUTH Youth

Abstract copyright UK Data Service and data collection copyright owner.BackgroundThe British Social Attitudes (BSA) survey series began in 1983. The series is designed to produce annual measures of attitudinal movements to complement large-scale government surveys that deal largely with facts and behaviour patterns, and the data on party political attitudes produced by opinion polls. One of the BSA's main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. Some questions are asked regularly, others less often. Funding for BSA comes from a number of sources (including government departments, the Economic and Social Research Council and other research foundations), but the final responsibility for the coverage and wording of the annual questionnaires rests with NatCen Social Research (formerly Social and Community Planning Research). The BSA has been conducted every year since 1983, except in 1988 and 1992 when core funding was devoted to the British Election Study (BES).Further information about the series and links to publications may be found on the NatCen Social Research British Social Attitudes webpage. Main Topics:Each year, the BSA interview questionnaire contains a number of 'core' questions, which are repeated in most years. In addition, a wide range of background and classificatory questions is included. The remainder of the questionnaire is devoted to a series of questions (modules) on a range of social, economic, political and moral issues - some are asked regularly, others less often. Cross-indexes of those questions asked more than once appear in the reports. Multi-stage stratified random sample See documentation for each BSA year for full details. 1986 ABORTION ACCESS TO COUNTRYSIDE ACID RAIN ADVICE AGE AID AIR POLLUTION AIR TRAFFIC NOISE ANIMAL PRODUCTS ARMED FORCES ASSOCIATIONS ATTITUDES BUSINESSES CAREER DEVELOPMENT CENSORSHIP CEREAL PRODUCTS CHANGING SOCIETY CHILD BENEFITS CHILD CARE CHILDREN CIVIL DISTURBANCES COHABITATION CONDITIONS OF EMPLO... CONSERVATIVE PARTY ... CONSUMER PROTECTION COST OF LIVING COUNTRYSIDE COUNTRYSIDE CONSERV... CURRENCY DEVALUATION DAIRY PRODUCTS DEATH PENALTY DECENTRALIZED GOVER... DECISION MAKING DEFENCE DENTAL TREATMENT DISABLED PERSONS DISARMAMENT DISCRIMINATION DISTANCE MEASUREMENT DIVORCE DOMESTIC RESPONSIBI... DOMESTIC TRADE DRIVING ECONOMIC ACTIVITY ECONOMIC AID ECONOMIC CONDITIONS EDUCATION EDUCATIONAL BACKGROUND ELDERLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT OPPORTUN... EMPLOYMENT PROGRAMMES ENVIRONMENTAL DEGRA... ENVIRONMENTAL MOVEM... EQUAL EDUCATION EQUAL OPPORTUNITY ETHNIC GROUPS EUROPEAN ECONOMIC C... EUROPEAN UNION FAMILY COHESION FAMILY ENVIRONMENT FAMILY MEMBERS FAMILY SIZE FARMERS FARMING SYSTEMS FATHERS FINANCIAL EXPECTATIONS FINANCIAL RESOURCES FISH AS FOOD FOOD FOOD AND NUTRITION FORECASTING FRIENDS FRUIT FULL TIME EMPLOYMENT GENDER GENERAL PRACTITIONERS GOVERNMENT GRANTS GREEN PARTY UNITED ... HEALTH HEALTH SERVICES HOME OWNERSHIP HOSPITAL SERVICES HOURS OF WORK HOUSEHOLDS HOUSEWORK HOUSING HOUSING FINANCE HOUSING TENURE IMMIGRATION IMPORT CONTROLS INCOME INCOME DISTRIBUTION INCOME TAX INDUSTRIAL ECONOMICS INDUSTRIAL MANAGEMENT INDUSTRIAL POLICY INDUSTRIAL POLLUTION INDUSTRIES INFLATION INTERCEPTION OF COM... INTERNATIONAL RELAT... INTERNATIONAL TRADE INTERPERSONAL COMMU... INTERPERSONAL RELAT... JOB DESCRIPTION JOB HUNTING JOB REQUIREMENTS JOB SHARING JUDGMENTS LAW LABOUR MOBILITY LABOUR PARTY GREAT ... LABOUR RELATIONS LAND AMELIORATION LAW AND JUSTICE LAW ENFORCEMENT LAWFUL OPPOSITION LEGISLATION LEISURE TIME ACTIVI... LIBERAL PARTY GREAT... LOANS MANAGEMENT MARITAL STATUS MARRIAGE MARRIAGE DISSOLUTION MEAT MEDICAL CARE MEDICAL INSURANCE MEMBERSHIP MILITARY EXPENDITURE MIXED MARRIAGES MORAL VALUES MOTHERS MOTOR VEHICLES NATIONAL ECONOMY NATIONALIZATION NATO NEWSPAPER READERSHIP NUCLEAR BASES NUCLEAR POWER STATIONS NUCLEAR REACTOR SAFETY NUCLEAR WARFARE NUCLEAR WEAPONS NURSES OCCUPATIONAL PENSIONS OCCUPATIONS OFFENCES OUTDOOR PURSUITS PARENT CHILD RELATI... PARENT RESPONSIBILITY PARENTAL ROLE PARENTS PART TIME EMPLOYMENT PEACE PERFORMANCE PERSONAL EFFICACY PLACE OF RESIDENCE PLAID CYMRU POLITICAL ALLEGIANCE POLITICAL COALITIONS POLITICAL INFLUENCE POLITICAL INTEREST POLITICAL POWER POLITICS POVERTY PRICE CONTROL PRICE POLICY PRISON SYSTEM PRIVATE EDUCATION PRIVATE SCHOOLS PRIVATE SECTOR PRIVATIZATION PRODUCTIVITY PROFIT SHARING PROFITS PUBLIC ENTERPRISES PUBLIC EXPENDITURE PUBLIC TRANSPORT PUNISHMENT QUALIFICATIONS RACIAL DISCRIMINATION RACIAL PREJUDICE RADIOACTIVE WASTES RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY RETIREMENT RETRAINING ROADS ROLES RURAL AREAS RURAL DEVELOPMENT SATISFACTION SCOTTISH NATIONAL P... SELF EMPLOYED SHARES SIBLINGS SICK PERSONS SLIMMING DIETS SOCIAL ATTITUDES SOCIAL CHANGE SOCIAL CLASS SOCIAL DEMOCRATIC P... SOCIAL ENVIRONMENT SOCIAL HOUSING SOCIAL LIFE SOCIAL ORIGIN SOCIAL POLICY SOCIAL SECURITY BEN... SOCIAL SERVICES SOCIAL STRATIFICATION SOCIAL SUPPORT SOCIAL VALUES SOCIAL WELFARE SPEED LIMITS SPOUSE S ECONOMIC A... SPOUSE S EMPLOYMENT SPOUSE S OCCUPATION SPOUSES STANDARD OF LIVING STATE AID STATE CONTROL STATE RESPONSIBILITY STATE RETIREMENT PE... STUDENTS SUBSIDIES SUGAR SUPERVISORS Social behaviour an... Social conditions a... TAXATION TENANTS HOME PURCHA... TERMINATION OF SERVICE TERRORISM TRADE UNION OFFICIALS TRADE UNIONS TRAFFIC NOISE TRAFFIC OFFENCES TRAFFIC REGULATIONS UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS URBAN AREAS VEGETABLES VEGETARIANISM VIRTUES AND VICES VISITS PERSONAL VOTING BEHAVIOUR WAGE INCREASES WAGES WAGES POLICY WATER POLLUTION WILDLIFE PROTECTION WORKERS PARTICIPATION WORKING CONDITIONS WORKING MOTHERS WORLD WAR YOUTH