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China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909 (ICPSR 27063)

Released/updated on: 2016-09-06

Geographic coverage: Asia, China (Peoples Republic)

Time period: 1749-01-01--1909-01-01

The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities.

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China Multi-Generational Panel Dataset, Shuangcheng (CMGPD-SC), 1866-1913 (ICPSR 35292)

Released/updated on: 2021-10-14

Geographic coverage: Asia, China (Peoples Republic)

Time period: 1866-01-01--1913-01-01

The China Multi-Generational Panel Dataset - Shuangcheng (CMGPD-SC) provides longitudinal individual, household, and community information on the demographic and socioeconomic characteristics of a resettled population living in Shuangcheng, a county in present-day Heilongjiang Province of Northeastern China, for the period from 1866 to 1913. The dataset includes some 1.3 million annual observations of over 100,000 unique individuals descended from families who were relocated to Shuangcheng in the early 19th century. These families were divided into 3 categories based on their place of origin: metropolitan bannermen, rural bannermen, and floating bannermen. The CMGPD-SC, like its Liaoning counterpart, the CMGPD-LN (ICPSR 27063), is a valuable data source for studying longitudinal as well as multi-generational social and demographic processes. The population categories had salient differences in social origins and land entitlements, and landholding data are available at a number of time periods, thus the CMGPD-SC is especially suitable to the study of stratification processes.

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Great Plains Population and Environment Data: Agricultural Data, 1870-1997 [United States] (ICPSR 4254)

Released/updated on: 2005-06-22

Geographic coverage: Montana, United States, Wyoming, Oklahoma, South Dakota, Minnesota, Kansas, Nebraska, Iowa, New Mexico, Texas, Colorado, North Dakota

Time period: 1870-01-01--1997-01-01

The data in this series of studies were assembled by an interdisciplinary research team led by Myron Gutmann of the University of Michigan between 1995 and 2004, as part of a research project funded by the National Institute of Child Health and Human Development (Grant Number R01HD033554 to the University of Michigan). The goal of the project was to amass information about approximately 500 counties in 12 states of the Great Plains of the United States, and then to analyze those data in order to understand the relationships between population and environment that existed between the years of about 1870 and 2000. The data distributed here are all data about counties. They fall into four broad categories: about the counties, about agriculture, about demographic and social conditions, and about the environment. The information about counties (name, area, identification code, and whether the project classified the county as part of the Great Plains in a given year) is embedded in each of the other data files, so that there will be three series of data (agriculture, demographic and social conditions, and environment), containing individual data files for each year for which data are available. The United States Census of Agriculture has been conducted since 1850 on a regular schedule that was decennial until 1920, and more frequently thereafter (every five years from 1925 to 1950, then in 1954, 1959, 1964, 1978, and every five years since 1982). The agricultural data included in this collection consist of a single data file for each agricultural census year between 1870 and 1997 that includes selected material compiled as part of the United States Agricultural Census. The county-level agricultural data produced by the United States government as part of the census constitute a consistent series of measures of changing agriculture and land use.

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Social Structure of Argentina: Census Data on Economic Development, 1965 (ICPSR 57)

Released/updated on: 1992-02-16

Geographic coverage: South America, Argentina, Global

This study contains data on the social structure of Argentina in 1965. Principal variables in the study cover the active population and its occupational segments, extent of commerce, industry, and rural development, production per capita, density of population, illiteracy, family size, and agricultural production. Derived measures include indices of rural occupational stability, dependency within the urban middle class, and rural landowners.

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Southern Farms Study, 1860 (ICPSR 7419)

Released/updated on: 1992-02-16

Geographic coverage: United States

This study presents 1860 data on population and farm production in 5,228 farms located in 405 major cotton-producing counties in the South. The data was compiled from the agriculture, slave, and population schedules of the 1860 United States manuscript Census. For each farm, variables describing farm land, machinery, crops, and livestock are included, as well as production figures for specific crops and types of livestock on the farm. The population variables tabulate the free and slave residents of each farm by sex, race, and age in five- or ten-year categories.

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Vietnam Life History Survey, 1991 (ICPSR 31101)

Released/updated on: 2011-08-10

Geographic coverage: Hai Duong, Long Ho, Can Tho, Vietnam (Socialist Republic)

Time period: 1926-01-01--1991-01-01

The 1991 Vietnam Life History Survey is a cross-sectional study conducted to examine households and individuals in Vietnam. A 2-part survey was conducted, the first part focused on the respondents' household as the unit of analysis, information was collected for up to 15 respondents, although most households had only 4 to 6 respondents. The second part of the survey focused on individuals, the respondent's position in the household and their personal background. In the Individual dataset, observations were collected for up to 15 of the respondent's siblings. The 2 parts examined 4 samples of about 100 households, each stratified by region and urban/rural status in Vietnam with the household survey containing 403 household responses and the individual survey containing 921 respondents. Demographic variables in the Household dataset include region, household configuration, socioeconomic status, gender, ethnicity, appliance ownership, and house construction. Demographic variables in the Individual dataset include information on parents and siblings, familial occupations, ethnicity, sex, education, job history, marital status, and children information.

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Vietnam Longitudinal Survey, 1995-1998 (ICPSR 33506)

Released/updated on: 2015-07-14

Geographic coverage: Vietnam (Socialist Republic)

Time period: 1995-01-01--1998-01-01

The Vietnam Longitudinal Survey, 1995-1998 (VLS) sought to analyze the impact of changing household economies on demographic phenomena such as marriage, pregnancy, and family composition in Vietnam. The VLS was the first longitudinal sociological survey and one of the largest sociological surveys ever conducted in Vietnam. The study was part of a long-term collaborative research program between the Institute of Sociology (IOS), Hanoi - Vietnam, and Professor Charles Hirschman from the University of Washington-Seattle.

The VLS emerged as the result of extensive exchange between IOS researchers and Charles Hirschman following their first collaborative project, the Vietnam Life History Survey (VLHS), which was conducted in 1991 (ICPSR 31101). During the 1994-95 academic year, Hirschman and IOS jointly developed a detailed plan for the VLS based on their previous experiences from the VLHS. Ten communes in the provinces of Nam Ha and Ninh Binh were selected for the VLS survey using probability sampling methods. In July 1995, the pretest survey was carried out in the Dai Xuyen commune approximately 40km south of Hanoi. Baseline interviews were conducted from September to November of 1995, with 1,855 households and 4,464 individuals surveyed for the first round. The second round of interviewing was carried out from August to September of 1996, with 1,820 households and 4,340 individuals successfully re-interviewed. The third round was carried out in July and August of 1997, with 1811 households and 4309 individuals re-interviewed. The fourth and final round of the survey was conducted in July and August of 1998, with a final household count of 1,795 and 4,222 individual respondents.

Data were collected at the individual and household level for each survey year. Household-level variables measured several household attributes, including size of land and living space, house construction materials, number of rooms and amenities, ownership of appliances, vehicles, and livestock, types and amount of agricultural production. Individual-level variables measured traditional courtship and wedding customs, familial marriage negotiations, marital history, pregnancy and birth history, as well as experiences with abstinence, various contraceptive methods, abortion, pregnancy, and breastfeeding. Household-level demographic variables provide information on household composition, including number of members, age, sex, ethnicity, education level, marital status, and occupation of each household member, as well as total household income. Individual-level demographic variables include age, sex, ethnicity, religion, education level, occupation, job history, income, marital status, and information on children of respondents.