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Chinese Longitudinal Healthy Longevity Survey (CLHLS), Community Datasets, 1998-2014

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Restrictions

  • AVAILABLE. This study is freely available to the general public.

Summary

  • <p>These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. Additional information about the Chinese Longitudinal Healthy Longevity Survey as well as study design can be found at the Center for the Study of Aging and Human Development Web site. </p> <p>The CLHLS community datasets are auxiliary to the follow-up datasets of Chinese Longitudinal Healthy Longevity Survey (CLHLS) during the seven waves (1998, 2000, 2002, 2005, 2008, 2011, and 2014), which were collected by the Center for Healthy Aging and Development Studies (CHADS) of National School of Development at Peking University from a wide variety of publicly issued statistical yearbooks in China. The 1998-2014 CLHLS community datasets are based on the county-level areas where the elderly respondents of the same waves are living, which covers 23 provinces and more than 860 counties/districts. The CLHLS community datasets contain information about the geographical environment, population, economic conditions, social welfare statistics, etc. of province-level areas where the elderly respondents are living.</p>Cf: http://doi.org/10.3886/ICPSR37227.v1

Notes

  • Title from ICPSR DDI metadata of 2019-02-01.
  • Also available as downloadable files.

Contents

  • 1998 Community Data
  • 2000 Community Data
  • 2002 Community Data
  • 2005 Community Data
  • 2008 Community Data
  • 2011 Community Data
  • 2014 Community Data
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