Rural power, water conservancy construction and material consumption in Qinghai Province (2000-2020)- A Big Earth Data Platform for Three Poles

"The data set recorded the statistical data of rural electric power, farmland water conservancy construction and material consumption in Qinghai Province from 2000 to 2020. The data were divided by rural electric power, farmland water conservancy construction, agricultural chemical fertilizer application amount (discounted), agricultural plastic film use amount, agricultural diesel use amount and pesticide use amount, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are:

Construction of rural electric power, irrigation and water conservancy and material consumption 2000-2005. XLS

Rural electric power, irrigation and water conservancy construction and material consumption 2000-2006. XLS

Rural electric power, irrigation and water conservancy construction and material consumption 2000-2007. XLS

Rural electric power, irrigation and water conservancy construction and material consumption 2002-2003. XLS

Construction of rural electric power, irrigation and water conservancy and material consumption in 2004.xls

Rural electric power, irrigation and water conservancy construction and material consumption 2005-2009. XLS

Rural power, irrigation and water conservancy construction and material consumption 2006-2010. XLS

Rural power, irrigation and water conservancy construction and material consumption 2007-2011. XLS

Rural electric power, irrigation and water conservancy construction and material consumption 2008-2012. XLS

Construction of rural electricity, irrigation and water conservancy and material consumption in 2008. XLS

Rural power, irrigation and water conservancy construction and material consumption 2009-2013. XLS

Rural power, irrigation and water conservancy construction and material consumption 2009-2014. XLS

Rural power, irrigation and water conservancy construction and material consumption 2010-2015. XLS

Rural power, irrigation and water conservancy construction and material consumption 2011-2016. XLS

Rural power, irrigation and water conservancy construction and material consumption 2012-2017. XLS

Rural power, irrigation and water conservancy construction and material consumption 2013-2018. XLS

Rural power, irrigation and water conservancy construction and material consumption 2014-2019. XLS

Rural power, irrigation and water conservancy construction and material consumption 2015-2020. XLS

The data table structure is the same. For example, the data table of rural electricity, irrigation and water conservancy construction and material consumption from 2000 to 2006 has 9 fields:

Field 1: indicator

Field 2:2000

Field 3:2001

Field 4:2002

Field 5:2003

Field 6:2004

Field 7:2005

Field 8:2006

Field 9:2006 is % of 2005"

File naming and required software

The dataset is stored in Excel format and contains 18 worksheets, Rural electricity and farmland water in Qinghai province in 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 and 2020 respectively Benefit construction and material consumption statistics. Data files can be opened with Office software or imported into a relational database system. The units of data tables are: kilowatts, kilowatt hours, tons, and thousand hectares.

Data Citations Data citation guideline What's data citation?

Cite as:

Qinghai Provincial Bureau of Statistics. (2021). Rural power, water conservancy construction and material consumption in Qinghai Province (2000-2020). 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)