- To provide a unique crop yield data set that spans the twentieth century for many of the world's major bread baskets.
- The Twentieth Century Crop Statistics, 1900-2017 data set consists of national or subnational maize and wheat production, yield, and harvested area statistics for all available years for the period 1900-2017. It combines a new digitization of crop statistics from Italy, Spain, Indonesia, China, Mexico, Uruguay, Chile, Sweden, and Morocco with existing, publicly available, digitized data sets from India, Australia, the United States, Canada, Southern Brazil, Argentina, England, Austria, Belgium, Croatia, Czech Republic, Finland, Germany, Spain, Portugal, France, the Netherlands, and South Africa. All units are converted to hectares (ha) for units of harvested areas, tonnes for units of production, and tonnes/ha for units of yield. A ratio of 1/36.744 is used to convert wheat bushels to tonnes, and a value of 1/39.368 is used to convert maize bushels to tonnes. In all cases, the Harvest_year reported in the data set is the harvest year for the crop.
- Recommended Citation(s)*:
Anderson, W., W. Baethgen, F. Capitanio, P. Ciais, G. Rocca da Cunha, L. Goddard, B. Schauberger , K. Sonder, G. Podesta, M. van der Velde, L. You, and Y. Ru. 2022. Twentieth Century Crop Statistics, 1900-2017. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/tmsp-sg82. Accessed DAY MONTH YEAR.
* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.
† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.
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