RMB credit income and expenditure of financial institutions in Qinghai Province (2010-2015)- A Big Earth Data Platform for Three Poles

This data set records the statistical data of RMB credit revenue and expenditure of financial institutions in Qinghai Province from 2010 to 2015, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 9 data tables

RMB credit balance of financial institutions 2010-2011.xls

RMB credit balance of financial institutions 2010-2012.xls

RMB credit balance of financial institutions 2010-2013.xls

RMB credit balance of financial institutions 2010-2014.xls

RMB credit balance of financial institutions 2010.xls

RMB credit balance of financial institutions 2015-2016.xls

RMB credit balance of financial institutions 2015-2017.xls

RMB credit balance of financial institutions 2015-2018.xls

RMB credit balance of financial institutions 2015.xls

The data table structure is the same. For example, there are four fields in the 2010-2011 data table of RMB credit revenue and expenditure of financial institutions

Field 1: Project

Field 2: item

Field 3: 2010

Field 4: 2011

File naming and required software

The data set is stored in Excel format, including nine worksheets, which are the statistics of RMB credit revenue and expenditure of financial institutions in Qinghai Province in 2010, 2011, 2012, 2013, 2014 and 2015. Data files can be opened with office software or imported into relational database system. The unit involved in data table is 100 million yuan.

Data Citations Data citation guideline What's data citation?

Cite as:

Qinghai Provincial Bureau of Statistics. (2021). RMB credit income and expenditure of financial institutions in Qinghai Province (2010-2015). 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)