Data Sharing for Demographic Research

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This study was originally processed, archived, and disseminated by Data Sharing and Demographic Research, a project funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).

China Multi-Generational Panel Dataset, Shuangcheng (CMGPD-SC), 1866-1914 (ICPSR 35292)

Principal Investigator(s):

Summary:

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 1914. 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.

Series: China Multi-Generational Panel Datasets Series

Access Notes

  • One or more files in this study are not available for download due to special restrictions ; consult the restrictions note to learn more. You can apply online for access to the data. A login is required to apply for access. (How to apply.)

    The restricted file contains confidential information (names, place names and geo-coordinates).

Dataset(s)

WARNING: This study is over 150MB in size and may take several minutes to download on a typical internet connection.

DS0:  Study-Level Files
DS1:  Basic and Analytic Release - Download All Files (2,772.6 MB) large dataset
DS2:  Restricted Release
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No downloadable data files available.
DS3:  Kinship File - Download All Files (6,821.4 MB) large dataset
DS4:  Disability File - Download All Files (5.6 MB)
DS5:  Position File - Download All Files (6.1 MB)

Study Description

Citation

Lee, James Z., Shuang Chen, Cameron D. Campbell, and Hongbo Wang. China Multi-Generational Panel Dataset, Shuangcheng (CMGPD-SC), 1866-1914. ICPSR35292-v1. Ann Arbor: Inter-university Consortium for Political and Social Research [distributor], 2014-07-28. http://doi.org/10.3886/ICPSR35292.v1

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Funding

This study was funded by:

  • United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD070985)
  • Shanghai Jiao Tong University. School of Humanities
  • University of California-Los Angeles. California Center for Population Research
  • Hong Kong University of Science and Technology. School of Humanities and Social Science

Scope of Study

Subject Terms:   agricultural production, agriculture, demographic characteristics, eighteenth century, family history, family structure, generations, historical data, households, immigrants, land distribution, nineteenth century, rural population

Smallest Geographic Unit:   historical village

Geographic Coverage:   Asia, China (Peoples Republic)

Time Period:  

  • 1866--1914

Date of Collection:  

  • 1985--2009

Unit of Observation:   Individual, Household, Village

Data Types:   administrative records data, census/enumeration data

Methodology

Study Purpose:   Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of region and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets.

Sample:   The population records in the CMGPD-SC are transcribed from the Eight Banner population registers preserved in the Liaoning Provincial Archives, which are also available digitally worldwide through the Genealogical Society of Utah. Like the populations covered by the CMGPD-LN dataset, the CMGPD-SC population also belonged to the Eight Banners , a civil and military administrative system established by the Qing dynasty (1644-1911) to govern the Manchurian and Mongolian provinces in Greater North and Northeast China and the Qing garrison populations in China proper. Specifically, the populations covered by CMGPD-SC were bannermen who previously lived in Beijing and the various garrisons located in Rehe and present day Liaoning and Jilin provinces. These populations moved to Shuangcheng between 1815 and 1838 under a government-organized migration. The population lived in 120 villages in Shuangcheng county in present day Heilongjiang in northeast China. The CMGPD-SC follows individuals prospectively with time-varying characteristics available annually for metropolitan and rural bannermen, who comprise over four-fifths of the CMGPD-SC population, and triennially for 'floating' bannermen, who comprise almost all the remaining population. The timing of key economic, social, family, and demographic events and transitions can thus be ascertained. Contextual information as to community and household are also available at regular intervals. The CMGPD-SC also contains rare longitudinal information on property in the form of individual landholding, which distinguishes it from many other comparable historical data sources, including the CMGPD-LN.

Data Source:

Population registers

Extent of Processing:  ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Performed consistency checks.
  • Created variable labels and/or value labels.
  • Standardized missing values.
  • Performed recodes and/or calculated derived variables.
  • Checked for undocumented or out-of-range codes.

Version(s)

Original ICPSR Release:  

Variables

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