Consumer price index of cities and counties in Qinghai Province (2016-2020)

Consumer price index of cities and counties in Qinghai Province (2016-2020)


The data set records the statistical data of consumer price index (CPI) of surveyed cities and counties in Qinghai Province from 2016 to 2020. The data is divided by year and regions such as Xining, Datong, Ledu, Pingan, Haiyan, Tongren, Fuyi, Maqin, Yushu, Golmu and Delingha. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains seven data tables, which are: To investigate the consumer price index (CPI) of cities and counties in 2016. XLS: to investigate the CPI of cities and counties in 2018. XLS: to investigate the CPI of cities and counties in 1999. Consumer Price Index of surveyed cities and counties 2000. XLS, Consumer price index of surveyed cities and counties of Qinghai Province (2019). XLS, Consumer price index of surveyed cities and counties of Qinghai Province (2020). The data table structure is the same. For example, the 1999 table had nine fields:

Field 1: Total index

Field 2: Food, tobacco and alcohol

Field 3: Clothing

Field 4: Residence

Field 5: Daily necessities

Field 6: Traffic and

Field 7: Educational culture

Field 8: Health care

Field 9: Other supplies


File naming and required software

The data set is stored in Excel format and contains 7 worksheets, which are the information statistics of consumer price index of sub-survey cities and counties in Qinghai Province in 2016, 2017, 2018, 1999, 2000, 2019 and 2020 successively. The data files can be opened using Office or imported to a relational database system. The units of the data tables are exponential (Preceding year=100).


Data Citations Data citation guideline What's data citation?
Cite as:

Qinghai Provincial Bureau of Statistics. (2021). Consumer price index of cities and counties in Qinghai Province (2016-2020). 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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 104.00 West: 89.00
South: 31.00 North: 40.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: -
  • File size: 0.07 MB
  • Views: 632
  • Downloads: 276
  • Access: Open Access
  • Temporal coverage: 2016-01-01 To 2020-12-31
  • Updated time: 2022-01-29
Contacts
: Qinghai Provincial Bureau of Statistics  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata