Search results

The purpose of this project was to measure and estimate the distribution of income in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of ration coupons and other direct subsidies, and the imputed value of housing. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops (e.g., grains, cotton, flax, sugar, tobacco, fruits and vegetables, tea, seeds, nuts, lumber, livestock and poultry, eggs, fish and shrimp, wool, honey, and silkworm cocoons), amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food and durable and non-durable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food rations received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all of their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of both coupons in state-owned stores and at free market prices. Information was also collected on rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care.

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

The Consumer Pyramids is the largest survey of households in India. The survey contains record-level data that are delivered in the form of population estimates. The survey contains multiple databases that contain population estimates on household demographics, household income and expenses, borrowing by household, and household assets. The data also contain individual-level health status, financial inclusion, education level, and caste and literacy estimates. Demographic information collected include gender, age, religion, education, and occupation.

Database Composition: The Consumer Pyramids Survey is conducted over the course of four-month periods or waves throughout the year totaling three rounds a year. This collection includes the following six databases: People of India; Household Income and Expenses; Household Amenities, Assets, and Liabilities; Household Expenses; Composition of Incomes at the member level; Composition of Incomes at the household level.

The National Survey of Families and Households (NSFH), Wave 1 (1987-1988) is the first of three waves in a longitudinal survey that was designed to study the causes and consequences of changes happening in families and households within the United States. At a time when the range of family structures was becoming more and more diverse, this study permitted a close examination of the resulting family compositions and household operations. One adult per household was randomly selected as the primary respondent, and there was a total of 13,007 respondents. In addition to the main interview conducted with the primary respondent, a shorter, self-administered questionnaire was given to the spouse or cohabitating partner, and also administered to the householder if he or she was a relative of the primary respondent.

A considerable amount of life-history information was collected, such as the respondent's family living arrangements in childhood, departures and returns to the parental home, and histories of marriage, separation, divorce, cohabitation, adoption, child custody arrangements, and stepfamily relations. Respondents were also asked about the relationship of household members to each other and the quality of their relationships with their parents, children, and in-laws. Information on economic well-being was also collected, including earnings from wages, self-employment income, interest, dividends, investments, pensions, Social Security, public assistance, and child support/alimony. Demographic information collected includes sex, age, marital status, education, and employment.

The National Survey of Families and Households (NSFH), Wave 2 1992-1994, a longitudinal population-based survey of families and households in the United States, investigates the causes and consequences of changes in American family and household structure. This is the second wave of a three part survey. The current study, NSFH Wave 2, is the second follow up and was conducted in 1992-1994. The sample included all NSFH Wave 1 main respondents and spouse/partner with focal children and all other NSFH Wave 1 main respondents ages 45 and over in 2000, as well as their NSFH Wave 1 spouse/partner.

The Wave 2 survey included the following components: (1) an interview of all surviving members of the original sample via face-to-face personal interview, (2) a personal interview with the current spouse or cohabiting partner almost identical to the interview with the main respondent, (3) a personal interview with the original spouse or partner of the primary respondent in cases where this relationship had ended, (4) a telephone interview with "focal children" who were originally aged 13-18 in Wave 1, (5) a short telephone interview with "focal children" who were originally aged 5-12 in Wave 1, (6) short proxy interviews with a surviving spouse or other relative in cases where the original respondent had died or was too ill to interview, and (7) a telephone interview with a randomly-selected parent of the main respondent. Demographic information collected includes sex, age, marital status, education, and employment

The Youth Development Study (YDS) was initiated as a school-based study of adolescent children and their parents to examine the consequences of formative experiences in adolescence for mental health, value formation, educational achievement, and multiple facets of behavioral adjustment. Particular attention was directed to the impacts of early work experience. Data were also obtained about parent-child and peer relationships and experiences in school. As the study continued, the focus shifted to adult development and attainment and, most recently, mid-life adjustment and health. This comprehensive longitudinal study now encompasses three generations: the initial cohort studied from adolescence to mid-life (G2), their parents (G1), and their adolescent children (G3). Data from three generations in the same families enable study of intergenerational relationships and differences in the experience of adolescence and transition to adulthood across parent and child cohorts. The YDS covers a wide range of topics of interest to sociologists, social psychologists, developmental psychologists, and life course scholars, including the development and impacts of agentic resources, socioeconomic attainment, processes of inter- and intra-generational mobility, objective and subjective work conditions, family relationships, intergenerational relationships, mental and physical health, and well-being.

In-school administration of paper surveys during the first four years of the study was supplemented by mailed surveys. Subsequent data collection took place entirely by mail, with 19 surveys conducted between 1988 and 2011. A final survey was conducted on-line in 2019. Survey data was obtained from the parents (G1) of this cohort during the first and fourth waves of the study (1988 and 1991). Surveys of the children (G3) began in 2009, continued in 2010 and 2011 (by mail) and in 2019-2020 (online).

The Youth Development Study measures a wide range of formative experiences and both psychological and behavioral variables, using survey methodology.

The G1 surveys obtained information about socioeconomic background as well as attitudes toward teenage employment, the parents' own employment as teenagers, their current work experiences, and educational expectations for their children.

The G2 surveys during the high school years included detailed questions about students' work and volunteer experiences, as well as experiences in their family, school, and peer groups, with an emphasis on the ways that working affected other life domains, mental health, and well-being. Shorter surveys containing many of the same topics were administered to students in 1992, 1993, and 1994, and included questions about current family and living arrangements. In 1995, a full survey was administered covering the wide range of topics included in previous surveys as well as information about career plans and life events that had occurred in the past five years. G2 Waves 9 through 19 (1997-2011) included many of the same questions contained in earlier surveys and additional sections that focused on the respondents' educational experiences, family relationships, sources of living expenses, and health and well-being. The most recent G2 survey (2019), administered on-line, included questions about support of aging parents. The YDS is unique in its coverage of both objective and subjective work experiences from adolescence to mid-life.

The topics covered by the G3 surveys are very similar to the G2 variables described above. Variables in each G2 and G3 wave are included in cross-wave codebooks, available at the Data Archive Codebook website.

For an overview of the Youth Development Study, see Mortimer, Jeylan T. (2012) "The Evolution, Contributions, and Prospects of the Youth Development Study: An Investigation in Life Course Social Psychology." Social Psychology Quarterly 75(1, March):5-27.