This data collection is comprised of responses from the March and April installments of the 2006 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.In addition to the basic CPS questions, respondents were asked questions from the March supplement, known as the Annual Social and Economic (ASEC) supplement. The ASEC provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information was given on the employment status, occupation, and industry of persons 15 years old and older. Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and place of residence on March 1, 2005. The March supplement also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Questions covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training were also asked in the March supplement.Respondents were asked supplemental questions in April about the economic situation of persons and families for the previous year. All household members 15 years of age and older that are a biological parent of children in the household from an absent parent were asked detailed questions about child support and alimony. Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.The April supplement data were matched to March supplement data for households that were in the sample in both March and April 2006. In March 2006, there were 4,635 household members eligible, of which 1,453 required imputation of child support data. When matching the March 2006 and April 2006 data sets, there were 190 eligible people on the March file that did not match to people on the April file. Child support data for these 190 people were imputed. The remaining 1,263 imputed cases were due to nonresponse to the child support questions. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

This table aims to show the distribution of welfare of persons in the Netherlands, measured by their income. The figures in this table are broken down to different person characteristics.

The population consists of all persons in private households with income on January 1st of the reporting year. In the population for the subject low-income persons, persons in both student households and households with income only for a part of the year have been excluded. The population for the subject economic independence consists of all persons aged from 15 to the OAP-age in private households with income on January 1st of the reporting year, except for students and pupils.

Data available from: 2011 to 2023.

Status of the figures: The figures for 2011 to 2022 are final. The figures for 2023 are preliminary.

Changes as of 19 September 2025: None, this table was discontinued.

When will new figures be published? No longer applicable. This table is succeeded by the table Welfare of persons; key figures. See section 3.

This report provides information about the demographics of children and parents at steps in the child welfare system. It is produced in compliance with Local Law 132 of 2022.

This feature layer represents SDG 1.3.1 ‘Proportion of the Population Receiving Social Welfare Payments by Scheme' for Ireland. Attributes include a breakdown by scheme i.e. Job-seeker's Allowance, One-Parent Family Payment, Family Income Supplement, Respite Care Grant and State Pensions and a breakdown by year (2007, 2010, 2013 and 2016). Social Welfare Payments data produced by the Department of Employment Affairs and Social Protection and County boundary data produced by Ordnance Survey Ireland (OSi) were used to create this feature layer. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and OSi are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.

This dataset presents statistics for Health Care and Social Assistance: Grants, Transferred Contributions and Similar Payments, with Net Expenses for the U.S.

Users can view and download data pertaining to employment, income, and program participation of American households. Topics include: child care, program participation, health care utilization, health care costs, disability, school enrollment, and taxes. Background The United States Census Bureau conducts the Survey of Income and Program Participation (SIPP). The purpose of the SIPP is to evaluate the effectiveness of federal, state and local government programs. This survey provides information regarding the income and labor force participation of American households and their participation in transfer of income programs. The SIPP provides information regarding the effect of changes in program eligibility or benefits on recipien ts and the target population and changes in household composition and structure. Topics include: child care, program participation, health care utilization, health care costs, disability, school enrollment, and taxes. User Functionality Users can view data collection, data analysis, and data dictionary information online. The survey questions can be downloaded as PDF files. Users can download the DataFerrett application to search surveys, obtain frequencies, and download data for analysis into Microsoft Excel. Data Notes This longitudinal survey has been administered since 1984, and was most recently conducted in 2004. Household members age 15 and older are interviewed using co mputer-assisted interviews. The 2004 panel includes 46,500 households interviewed eight times. Households from high-poverty concentration areas are oversampled. Information is available on a national level.

United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.310 % in 2016. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.310 % from Dec 2016 (Median) to 2016, with 1 observations. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

This data collection contains the results of the Survey of Low Income Aged and Disabled (SLIAD), conducted in 1973-1974 in order to collect demographic and socioeconomic data necessary for assessing the effect of the Supplemental Security Income (SSI) program on potential recipients. After January 1, 1974, SSI replaced the state-administered welfare programs of Old Age Assistance (OAA), Aid to the Blind (AB), and Aid to the Permanently and Totally Disabled (APTD) and was meant to improve the economic well-being of the adult poor. A national sample of about 18,000 low-income aged, blind, and/or disabled adults was interviewed in 1973, and reinterviewed in 1974, after SSI was implemented. The 1974 re-interviews were conducted only with persons successfully interviewed in 1973. No new cases were added to replace first-year losses, nor were cases dropped because they no longer met SSI eligibility. Part 1 contains data gathered from a sample made up of aged and disabled persons who received OAA, AB, and/or APTD payments in 1973. Part 2 contains data gathered from a sample of low-income aged and disabled people in the general population (generated from Current Population Survey samples). The United States Census Bureau conducted the interviews and collected the data. The 1973 survey placed great emphasis on financial matters. Each respondent was asked to report income received in the preceding month and year by each of three general classes of persons in the household. The questionnaire listed more than 15 income sources including payments and awards from almost every transfer program possible, earnings from jobs and businesses, gifts, and dividends. The financial section of the questionnaire also included items aimed at establishing the value of owned property, savings and investments, the amount of indebtedness, and the amount spent for food, shelter, and other recurring household expenditures. For the most part, the remainder of the questionnaire concerned (1) household composition, (2) personal history, (3) health, health care, and the capacity for self-maintenance, (4) standard of living, as represented by housing, diet, travel, and recreation, (5) factors that might affect the relation between income and standard of living (e.g., personal preference, physical capacity, and access), and (6) attitudinal response to these conditions, circumstances, and types of status. The 1974 survey was similar in that it asked almost all of the earlier income and asset questions, but added a section on SSI payments. It also collected more detail on household living expenses. It did not repeat the biographical section or the inventory of health conditions from the 1973 survey, but did contain new questions on a spouses' funeral expenses as well as the respondent's experience with SSI.

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

The New Zealand Census of Population and Dwellings is the official count of how many people and dwellings there are in New Zealand. It provides a snapshot of our society at a point in time and helps to tell the story of its social and economic change. The 2023 Census, held on Tuesday 7 March, was the 35th New Zealand Census of Population and Dwellings. The first official census was run in 1851, and since 1877 there has been a census every five years, with only four exceptions.

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts. Spatial ESSPROS data is showed as per capita. The total benefits expenditure obtained from the SABS database does not match that with the Treasury's Departmental Accounting System (DAS) as the latter includes welfare payments which are excluded from the SABS database. The data source used to compile the beneficiaries data is the System for the Administration of Social Benefits (SABS) database held by the Department of Social Security. Beneficiaries are grouped according to their ID card number. If a person received a particular benefit more than once in a calendar year, the records show one beneficiary. Beneficiaries obtaining more than one benefit under the same function are counted once. Beneficiaries living abroad are not included in the data.

Abstract (en): This is a longitudinal survey designed to provide detailed information on the economic situation of households and persons in the United States. These data examine the distribution of income, wealth, and poverty in American society and gauge the effects of federal and state programs on the well-being of families and individuals. There are three basic elements contained in the survey. The first is a control card that records basic social and demographic characteristics for each person in a household, as well as changes in such characteristics over the course of the interviewing period. The second element is the core portion of the questionnaire, with questions repeated at each interview on labor force activity, types and amounts of income, participation in various cash and noncash benefit programs, attendance in postsecondary schools, private health insurance coverage, public or subsidized rental housing, low-income energy assistance, and school breakfast and lunch participation. The third element consists of topical modules, which are a series of supplemental questions asked during selected household visits. Topical modules include some core data to help link individuals to the core files. Topical module data for the 1992 Panel cover the following topics: Topical Module 1 -- welfare and other aid recipiency and employment, Topical Module 2 -- work disability, education and training, marital status, migration, and fertility histories, Topical Module 3 -- extended measures of well-being, including consumer durables, living conditions, and basic needs, Topical Module 4 -- assets and liabilities, retirement expectations and pension plan coverage, real estate, property, and vehicles, Topical Module 5 -- school enrollment and financing, Topical Module 6 -- work schedules, child care, support for nonhousehold members, functional limitations and disabilities, utilization of health care services, and home-based self-employment and size of firm, Topical Module 7 -- selected financial assets, medical expenses and work disability, real estate, shelter costs, dependent care, and vehicles, Topical Module 8 -- school enrollment and financing, Topical Module 9 -- work schedule, child care, child support agreements, child support, support for nonhousehold members, functional limitations and disability, utilization of health care, functional limitations and disability of children, health status and utilization of health care services, and utilization of health care services for children. Parts 26 and 27 are the Wave 5 and Wave 8 Topical Module Microdata Research Files obtained from the Census Bureau. These two topical module files include data on annual income, retirement accounts and taxes, and school enrollment and financing. These topical module files have not been edited nor imputed, although they have been topcoded or bottomcoded and recoded if necessary by the Census Bureau to avoid disclosure of individual respondents' identities. Resident population of the United States, excluding persons living in institutions and military barracks. A multistage, stratified sampling design was used. One-fourth of the sample households were interviewed each month, and households were reinterviewed at four-month intervals. All persons at least 15 years old who were present as household members at the time of the first interview were included for the entire study, except those who joined the military, were institutionalized for the entire study period, or moved from the United States. Original household members who moved during the study period were followed to their new residences and interviewed there. New persons moving into households of members of the original sample also were included in the survey, but were not followed if they left the household of an original sample person. 2002-11-08 Part 26, Wave 5 Topical Module Microdata Research File, and Part 27, Wave 8 Topical Module Research File, have been added to the collection with corresponding PDF documentation. These topical module files have not been edited nor imputed, although they have been topcoded or bottomcoded and recoded if necessary by the Census Bureau to avoid disclosure of individual respondents' identities.1998-08-24 Part 17, Wave 5 Topical Module Microdata File, and Part 25, Wave 9 Topical Module Microdata File, have been added to the collection with corresponding PDF documentation. Beginning with the 1990 Panel, the file structure of SIPP was changed. The un...

This statewide survey focussed on issues related to Rhode Island residents' satisfaction with state politicians. Other variables measures satisfaction regarding national politicians, senate and governor primary candidates, and welfare benefits. Standard demographic variables were also included.

1) Data Introduction • The Income Classification dataset provides data extracted from the U.S. Census Bureau database, aimed at predicting whether an individual's income exceeds $50,000 per year. This dataset is commonly known as the "Adult" dataset and includes features such as age, work class, education, marital status, occupation, race, gender, native-country, and others.

2) Data Utilization (1) Income data has characteristics that: • It includes both continuous and categorical data, enabling various types of analysis to understand the economic demographics of the U.S. • The dataset is often used in predictive modeling to forecast income levels based on demographic and employment information. (2) Income data can be used to: • Economic Research: Analysts use this dataset to study income distribution and the factors affecting economic disparities. • Policy Making: Helps policymakers design more effective social welfare programs targeting low-income families.

This Gallup poll seeks the opinions Canadians hold toward current events. There are questions about Expo '67, gun permits, divorce, welfare and unemployment. There are also political questions, gathering the opinions of Canadians towards political parties and leaders. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: the British Commonwealth's importance; communist government in China being recognized by Canada; federal elections; what constitutes grounds for divorce; Canada's immigration policy; interest in politics; occupations that are regarded highly; permit requirements to buy a gun; preferred political parties; price and wage freezes; the Queen's visit to Expo '67; union membership; wages and the cost of living; welfare payments; and voting behaviour. Basic demographics variables are also included.

This longitudinal survey was designed to add significantly to the amount of detailed information available on the economic situation of households and persons in the United States. These data examine the level of economic well-being of the population and also provide information on how economic situations relate to the demographic and social characteristics of individuals. There are three basic elements contained in the survey. The first is a control card that records basic social and demographic characteristics for each person in a household, as well as changes in such characteristics over the course of the interviewing period. The second element is the core portion of the questionnaire, with questions repeated at each interview on labor force activity, types and amounts of income, participation in various cash and noncash benefit programs, attendance in postsecondary schools, private health insurance coverage, public or subsidized rental housing, low-income energy assistance, and school breakfast and lunch participation. The third element consists of topical modules which are series of supplemental questions asked during selected household visits. No topical modules were created for the first or second waves. The Wave III Rectangular Core and Topical Module File offers both the core data and additional data on (1) education and work history and (2) health and disability. In the areas of education and work history, data are supplied on the highest level of schooling attained, courses or programs studied in high school and after high school, whether the respondent received job training, and if so, for how long and under what program (e.g., CETA or WIN). Other items pertain to the respondent's general job history and include a description of selected previous jobs, duration of jobs, and reasons for periods spent not working. Health and disability variables present information on the general condition of the respondent's health, functional limitations, work disability, and the need for personal assistance. Data are also provided on hospital stays or periods of illness, health facilities used, and whether health insurance plans (private or Medicare) were available. Respondents whose children had physical, mental, or emotional problems were questioned about the causes of the problems and whether the children attended regular schools. The Wave IV Rectangular Core and Topical Module file contains both the core data and sets of questions exploring the subjects of (1) assets and liabilities, (2) retirement and pension coverage, and (3) housing costs, conditions, and energy usage. Some of the major assets for which data are provided are savings accounts, stocks, mutual funds, bonds, Keogh and IRA accounts, home equity, life insurance, rental property, and motor vehicles. Data on unsecured liabilities such as loans, credit cards, and medical bills also are included. Retirement and pension information covers such items as when respondents expect to stop working, whether they will receive retirement benefits, whether their employers have retirement plans, if so whether they are eligible, and how much they expect to receive per year from these plans. In the category of housing costs, conditions, and energy usage, variables pertain to mortgage payments, real estate taxes, fire insurance, principal owed, when the mortgage was obtained, interest rates, rent, type of fuel used, heating facilities, appliances, and vehicles. The Wave V topical modules explore the subject areas of (1) child care, (2) welfare history and child support, (3) reasons for not working/reservation wage, and (4) support for nonhousehold members/work-related expenses. Data on child care include items on child care arrangements such as who provides the care, the number of hours of care per week, where the care is provided, and the cost. Questions in the areas of welfare history and child support focus on receipt of aid from specific welfare programs and child support agreements and their fulfillment. The reasons for not working/reservation wage module presents data on why persons are not in the labor force and the conditions under which they might join the labor force. Additional variables cover job search activities, pay rate required, and reason for refusal of a job offer. The set of questions dealin

This data collection, focusing on the welfare and public support system, contains information from the SURVEY OF INCOME AND EDUCATION, 1976 (ICPSR 7634), conducted during the months of April through July of 1976 by the Department of Health, Education, and Welfare. The survey served as a supplement to the yearly Current Population Survey and was conducted to obtain reliable state-by-state data on the numbers of children in local areas with family incomes below the federal poverty level. The information was used to facilitate Title 1 of the Elementary and Secondary Education Act by the Department of Health, Education, and Welfare. The survey includes questions used in the Current Population Survey and also contains additional exclusive questions covering school enrollment, disability, health insurance, bilingualism, food stamp recipiency, assets, and housing costs. The National Chicano Research Network created this extract by including only those cases for people who received either of the following types of support: food stamps in 1975 or 1976, public housing, government rent subsidy, railroad retirement, United States government SSI, aid to families with dependent children, other public assistance, Medicaid, veteran's assistance, neighborhood health center, free or low-cost clinic, other public source, or any public assistance or welfare the previous month. The 110 variables used from SURVEY OF INCOME AND EDUCATION, 1976: RECTANGULAR FILE (ICPSR 7919) were mostly demographic, income-related, and employment-related variables. The data were provided by the National Chicano Research Network, which was located at the Survey Research Center of the Institute for Social Research, University of Michigan.

The New Zealand Census of Population and Dwellings is the official count of how many people and dwellings there are in New Zealand. It provides a snapshot of our society at a point in time and helps to tell the story of its social and economic change. The 2023 Census, held on Tuesday 7 March, was the 35th New Zealand Census of Population and Dwellings. The first official census was run in 1851, and since 1877 there has been a census every five years, with only four exceptions.

The project's primary research objective was to assess the degree to which violence, sabotage, and control present obstacles to waged work and job training for women in Allegheny County, Pennsylvania. It sought to develop and assess instruments and generate data to serve as guideposts for policy and service delivery. The study consisted of two parts: (1) a series of interviews with 40 female welfare recipients, and (2) a community literacy project that resulted in a collection of narratives by female welfare recipients. Interviews were conducted with 40 Temporary Assistance to Needy Families (TANF) recipients who were enrolled at the Reemployment Transition Center (RTC) in Allegheny County, Pennsylvania, between May 29, 2001, and June 27, 2001. After explaining the research project to the intake group, the interviewers met in private with interested potential subjects. The interviews consisted of an initial face-to-face retrospective interview (Parts 1 through 5), conducted when subjects enrolled at RTC, and three follow-up interviews designed to be administered quarterly. The first follow-up interview (Part 6) was conducted between October 15, 2001, and May 7, 2002. The second follow-up interview (Part 7) was conducted between March 12, 2002, and May 21, 2002. The final follow-up (Part 8) interview was conducted between July 3, 2002, and November 15, 2002. Follow-up interviews were in person or by telephone (depending on the respondent's preference). A key innovation of this research project was to gather data on school, work, welfare, and relationships with enough precision to trace the complex connections among battering, work, and welfare over the course of poor women's lives (Part 9). To do so, researchers collected data on the start and end dates of each period of education, each job, each period on welfare, and each relationship. These data enabled researchers to compare the number and length of spells at work and on welfare for women who did and women who did not report various obstacles, including battering. Finally, researchers summarized some elements of the longitudinal data such as relationship and employment information into a data file (Part 10). In all, there are 10 quantitative data files encompassing 1,895 variables. In addition to the 10 quantitative data files, there are respondent answers to open text questions (Part 11). Interviewers were able to record field notes, which included observations about the interview context, overall impressions of the process, elaborated answers to open-ended questions, etc. (Part 12). There are also 8 autobiographical narratives to serve as sources of qualitative data on the ways current and former welfare recipients experience and perceive work, welfare, and relationships (including abuse) (Part 13). The Part 1 (Retrospective Demographic and Hardship Data) data file contains demographic information including living arrangements and income. The Part 2 (Retrospective Education Data) data file contains information related to the respondent's prior education. The Part 3 (Retrospective Employment Data) data file contains information related to the respondent's employment history. The Part 4 (Retrospective Welfare Data) contains information related to the respondent's welfare history. The Part 5 (Retrospective Relationship Data) data file contains information related to the Work-Related Control, Abuse, and Sabotage Checklist (WORCASC) and the Work/School Abuse Scale (W/SAS), which asked questions about interference, sabotage, and violence in relationships. The Part 6 (First Follow-Up Interview Data), Part 7 (Second Follow-Up Interview Data), and Part 8 (Final Follow-Up Interview Data) data files include follow-up information to that collected in Parts 1-5. The Part 9 (Date and Spell Data) data file provides data on the start and end dates of each period of education, each job, each period on welfare, and each relationship, and the Part 10 (Summary Longitudinal Data) data file summarizes some elements of the longitudinal data.