Abstract

The data discussed in this article is related to the article entitled “Identity and trust in government: A comparison of locals and migrants in urban China” (Niu and Zhao, 2018) [1], which analyses the political trust among three groups of urban residents in China (rural–urban migrants, urban–urban migrants, and urban locals) based on a sample with 4059 observations extracted from the 2010 Chinese General Social Survey (CGSS). The dataset contains detailed information on respondents’ political and social attitudes, demographic characteristics, and socio-economic status.

Highlights

  • Survey data on political attitudes of China's urban residents compiled from the Chinese General Social Survey (CGSS)

  • The data discussed in this article is related to the article entitled “Identity and trust in government: A comparison of locals and migrants in urban China” (Niu and Zhao, 2018) [1], which analyses the political trust among three groups of urban residents in China based on a sample with 4059 observations extracted from the 2010 Chinese General Social Survey (CGSS)

  • Data The data is based on the 2010 Chinese General Social Survey (CGSS), which is a national representative survey dataset

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Summary

Data accessibility

The data was based on the CGSS dataset and was extracted using STATA and reorganized using the Stata tabstat and ologit package. Identity and trust in government: A comparison of locals and migrants in urban China, Cities. The dataset contains detailed information on social and political attitudes (in particular, political trust in the central and local governments), demographic characteristics, and socio-economic indictors. The dataset can be used by both researchers and policy makers to understand social attitudes in urban China. The data is based on the 2010 Chinese General Social Survey (CGSS), which is a national representative survey dataset. The original CGSS data consists of respondents from both rural and urban areas in China. The data used in this article only includes respondents residing in urban areas.

Survey design
Sample selection
Data measurements and variable definition
Method
Full Text
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