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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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The Longitudinal Study of Older People in Anhui Province, China, 2001-2003 (ICPSR 36388)

Released/updated on: 2016-05-16
Geographic coverage: China (Peoples Republic), Global
Time period: 2001-01-01--2003-01-01

The Longitudinal Study of Older People in Anhui Province, China, 2001-2003 examined the physical and psychological well-being of older adults (aged 60 and above) living in rural Anhui Province, China. The original purpose of the study was to study the impact of rural-to-urban migration on the physical and psychological well-being of older adults left behind in rural villages by their adult children.

This collection contains two parts; Part 1: 2001 Survey and Part 2: 2003 Follow-up Survey. Similar Questions were asked in the two surveys to assess intergenerational transfers and relations of the respondents, including social support, caregiving, emotional cohesion, remittances, grandchild care, and filial piety. Respondents were also asked about their health status (physical, emotional, and cognitive). Demographic information includes age, sex, marriage status, and education.

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Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (ICPSR 34241)

Released/updated on: 2015-05-07
Geographic coverage: Argentina, Puerto Rico, United States, Uruguay, China (Peoples Republic), England, Ghana, India, Russia, Costa Rica, Cuba, Netherlands, Bangladesh, Barbados, Taiwan, Brazil, South Africa, Mexico, Chile, Indonesia
Time period: 1996-01-01--2008-01-01

The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17).

The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.

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Survey of Aging and Intergenerational Relations in Baoding City [China], 1994 (ICPSR 3800)

Released/updated on: 2006-03-30
Geographic coverage: China (Peoples Republic), Global
This data collection provides information on the intergenerational relation and exchanges between parents and adult children in three major urban districts of Baoding City, China, in 1994. Data are provided on demographic, social, and family characteristics. General areas of investigation include geographic distance and frequency of visits between parents and children, the family decision-making process, deference accorded to elders, use of corporal punishment on children, family's involvement in the selection of a child's marital partner, history of mental illness, political arrest, and deaths in the family, differences in lifestyles and ideas between parents and children, parents' living arrangements with adult child's family and its benefits and disadvantages, social engagements such as attendance at political meetings, religious activities, volunteer work, and theater outings, work and retirement history, and opinions on gender equity and individualism. The Baoding Parent Data file (Part 1) provides information on the health status, physical fitness, and daily activities of respondents. Respondents' history of hospitalization, depression, and mental illness, as well as their smoking and drinking habits and coping mechanisms are included. Other variables describe respondents' relations with their family, including financial, emotional, and housing support, and physical care received from family and others. The Baoding Child Data file (Part 2) provides information on respondents' history of relations with their parents, frequency of visits to their parents and parents-in-law, their share in parents' care, financial assistance provided to and by parents, other assistance provided to them by their parents, such as child care and help with household chores, and their relationships with their parents-in-law and siblings. Also included are items on respondents' feelings about their own and their spouse's health conditions, elderly parents living with them, and nepotism in China. Additional items include respondents' opinions on issues such as the care of the elderly, family size, husband's role in the family, differential roles of female and male children, risk-taking, individualism, premarital sex, and the relative importance of career and care of parents, friends and family, public and private ownership, and mental and manual labor. Demographic items specify date and place of birth, age, gender, occupation, work history, marital status, number of children, number of times married, education, political party membership, leadership positions, income, family social status, religion, length of stay in Baoding, nationality, home ownership, and housing characteristics.
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WHO Study on Global AGEing and Adult Health (SAGE): Wave 0, 2002-2004 (ICPSR 28502)

Released/updated on: 2013-11-15
Geographic coverage: China (Peoples Republic), South Africa, Mexico, Ghana, Global, India, Russia
Time period: 2002-01-01--2004-01-01
The World Health Organization (WHO)'s Study on Global Ageing and Adult Health (SAGE) is a longitudinal follow-up of a cohort of ageing and older adults. SAGE has been built on the experience and standardized instruments of WHO's 2000/2001 Multi-country Survey Study (MCSS) and the 2002/2004 World Health Surveys (WHS). These surveys focused on health and health-related outcomes and their determinants and impacts in nationally representative samples. These data aim to address data gaps on ageing, adult health and well-being in lower and middle income countries, whilst being comparable to surveys conducted in higher income countries (such as the Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE)). One of the major drivers of this effort has been the lack of comparability of self-reported health status in international health surveys due to systematic biases in reporting, despite using similar instruments and attempts at making questions conceptually equivalent in translation. SAGE uses standard instruments developed over the last decade, a common design and training approach with explicit strategies for making data comparable to cover a wide range of issues that directly and indirectly impact health and well-being. The survey methodology and research design has included a number of methods to address methods for detecting and correcting for systematic reporting biases in health interview surveys, including vignette methodologies, objective performance tests and biomarkers. A number of techniques have also been employed to improve data comparability, including using common definitions of concepts, common methods of data collection and translations, rigorous sample design and post hoc harmonization. The 2002-2004 WHS data from six countries (China, Ghana, India, Mexico, Russia, and South Africa) constitute Wave 0 of WHO's Study on Global Ageing and Adult Health (SAGE). A sample of these respondents were included in the follow-up 2007-2010 SAGE Wave 1 in these six countries, with new respondents added to ensure a nationally representative sample.
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WHO Study on Global AGEing and Adult Health (SAGE): Wave 1, 2007-2010 (ICPSR 31381)

Released/updated on: 2013-12-20
Geographic coverage: China (Peoples Republic), South Africa, Mexico, Ghana, Global, India, Russia
Time period: 2007-01-01--2010-01-01

The World Health Organization (WHO)'s Study on Global Ageing and Adult Health (SAGE) is a longitudinal follow-up of a cohort of ageing and older adults. SAGE has been built on the experience and standardized instruments of WHO's 2000/2001 Multi-country Survey Study (MCSS) and the 2002/2004 World Health Surveys (WHS).

These surveys focused on health and health-related outcomes and their determinants and impacts in nationally representative samples. These data will address data gaps on ageing, adult health and well-being in lower and middle income countries, whilst being comparable to surveys conducted in higher income countries (such as the United States' Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE)). One of the major drivers of this effort has been the lack of comparability of self-reported health status in international health surveys due to systematic biases in reporting, despite using similar instruments and attempts at making questions conceptually equivalent in translation. SAGE uses standard instruments developed over the last decade, a common design and training approach with explicit strategies for making data comparable to cover a wide range of issues that directly and indirectly impact health and well-being.

The survey methodology and research design has included a number of methods to address methods for detecting and correcting for systematic reporting biases in health interview surveys, including vignette methodologies, objective performance tests and biomarkers. A number of techniques have also been employed to improve data comparability, including using common definitions of concepts, common methods of data collection and translations, rigorous sample design and post hoc harmonization. The 2007-2010 SAGE Wave 1 data from six countries (China, Ghana, India, Mexico, Russia, and South Africa) is the follow-up survey project to the 2002-2004 WHO data, which constitutes Wave 0 of WHO's Study on Global Ageing and Adult Health (SAGE). A sample of these respondents from SAGE Wave 0 are included in this follow-up 2007-2010 SAGE Wave 1 in the six countries, with new respondents added to ensure a nationally representative sample.