Chinese Medical Sciences Journal ›› 2022, Vol. 37 ›› Issue (3): 234-239.doi: 10.24920/004143

• Scientific Data Sharing and Reuse:Data Article • Previous Articles     Next Articles

A National Cross-Sectional Survey Dataset on Common Disease and Influencing Factors of Chinese Internal Migrants in 2017

Shengfa Zhang1, Wei Luo2, Yuhuan Ma2, Zhili Wang3, Jing Chen4, *(), Fang Zhou4, Xiaoyu Zhang2, Wei Zhou2, *()   

  1. 1Law School, Beijing Normal University, Beijing 100875, China
    2National Population Heath Data Center, Chinese Academy of Medical Sciences, Beijing 100730, China
    3China Population and Development Research Center, National Health Commission, Beijing 100081, China
    4Migrant Population Service Center, National Health Commission, Beijing 100088, China
  • Received:2022-07-13 Accepted:2022-09-06 Published:2022-09-30 Online:2022-09-23
  • Contact: Jing Chen,Wei Zhou E-mail:okokok_cj@163.com;rkjkpt@pumc.edu.cn

This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017. The survey was part of the Chinese Migrants Dynamic Survey, which is an annually conducted large-scale national questionnaire survey on internal migrants. The respondents in the described dataset were migrants and registered local residents aged over 15 years old. A multistage stratified probability-proportional-to-size (PPS) sampling method based on the 2016 annual report data of China Migrant Population was adopted. The questionnaire was designed to collect demographic information of respondents and their family members, intention of migration or settlement, health status, health services accessibility, social integration, and epidemic influencing factors of common diseases, including hypertension, type 2 diabetes, diarrhea, fever, rash, icterus, conjunctival redness, cold, and other illnesses or injuries. The sample population in this survey include 13,998 internal migrants and 14,000 registered local residents from eight domestic cities / prefecture / districts across China. It is the most widely covering and highly representative dataset on common diseases and influencing factors of internal migrants in China. The dataset can be used to study common diseases and influencing factors among floating Chinese population. It provides data support for government to improve healthcare accessibility and the equity of public health services for internal migrants in China.

Key words: health services, floating population, population survey, common diseases, influencing factors, China

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