The data includes the total income and various income of 1280 households at domestic and abroad, which is used to support the analysis of livelihood output in sustainable livelihoods. The field survey data collected by the research group. Before collecting the data, the research group and the invited experts conducted a pretest to improve the questionnaire; before the formal survey, the personnel participating in the data collection were strictly trained; during the formal survey, each questionnaire could be filed after three times of inspection. The data is of great value for understanding the livelihood results of farmers in the vulnerable areas of environment and economy, and is an important supplement to the national and macro data in this area.

File naming and required software

File naming: data is stored in Excel format and named as income.xls
Data reading mode: Excel, Stata and SPSS are recommended to read and analyze data.

Data Citations Data citation guideline What's data citation?

Cite as:

Linxiu, Z., Bai, Y. (2021). Dataset of sustainable livelihood: Income (2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.271144. CSTR: 18406.11.Socioeco.tpdc.271144. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)