This dataset was collected and predicted on the country scale, the data from 1992 to 2019/2020 were obtained from the FAOSTAT and resourcetrade.earth websites, and that from 2020/2021-2050 were predicted using the optimizing time-series method. Three types of data including the production, consumption and trade of major agricultural products were sorted, thereinto the production data inculde the total production, yield and harvested area of crops, vegetables and fruits, and total production of livestock (meat and milk). The concumption data include major food crops (wheat, rice, barley, maize and others), vegetables and fruits, and livestock (meat and milk). The trade data include the amounts and values of import and export from the three major agricultural products.

File naming and required software

File name: the data is stored in the form of table. The name of the file is "yyyy yyyy XXXX", where yyyy represents the year and XXXX represents the specific data information stored in the file. For example, the consumption and forecast of agricultural products from 1992 to 2050 represent the consumption and forecast data of agricultural products from the five Central Asian countries from 1992 to 2050 stored in the excel table.
Data reading method: you can use Excel to open, view and analyze.

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, Y., Han, S. (2022). Production, consumption and trade of major agricultural products in the five countries in Central Asia from 1992 to 2050. A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272764. CSTR: 18406.11.HumanNat.tpdc.272764. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)