Total wages and index of non private sector employees by industry and region in Qinghai Province (1981-2020)- A Big Earth Data Platform for Three Poles

The data set records the divisions of qinghai province from 1981 to 2020 points in the private sector of on-the-job worker total wages and index statistics, the data is according to the data by the animal husbandry fishery, the production and supply industry, and information technology services, facilities management, and other services, culture, sports and entertainment, public management, social security industry to differentiate. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 26 data tables, all of which have the same structure. For example, the 2013 data table has 10 fields:

Field 1: Item

Field 2: Provincial total

Field 3: Xining City

Field 4: Haidong region

Field 5: Haibei State

Field 6: Huangnan Prefecture

Field 7: Hainan Prefecture

Field 8: Golo State

Field 9: Yushu Prefecture

Field 10: Haixi

File naming and required software

The dataset is stored in Excel format and contains 24 worksheets, In order, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 1981-2012, 1978-2011, 1981-2013, 1981-2014, 1981-2015, 1981-2016, 1982-2017, 1982-20 18. Information statistics of total wage and index of non-private sector employees in Qinghai Province in 2019 and 2020. Data files can be opened with Office software or imported into the relational database system. The unit of data table is: ten thousand yuan.

Data Citations Data citation guideline What's data citation?

Cite as:

Qinghai Provincial Bureau of Statistics. (2021). Total wages and index of non private sector employees by industry and region in Qinghai Province (1981-2020). A Big Earth Data Platform for Three Poles, (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.

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)