Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/119116
Title: | HarvestStat Africa : harmonized subnational crop statistics for Sub-Saharan Africa |
Author(s): | Lee, Donghoon Meyer, Carsten [und viele weitere] |
Issue Date: | 2025 |
Type: | Article |
Language: | English |
Abstract: | Sub-Saharan Africa faces severe agricultural data scarcity amidst high food insecurity and a large agricultural yield gap, making crop production data crucial for understanding and enhancing food systems. To address this gap, HarvestStat Africa presents the largest compilation of open-access subnational crop statistics and time-series across Sub-Saharan Africa. Based on agricultural statistics collated by USAID’s Famine Early Warning Systems Network, the subnational crop statistics are standardized and calibrated across changing administrative units to produce consistent and continuous time-series. The dataset includes 574,204 records, primarily spanning from 1980 to 2022, detailing quantity produced, harvested areas, and yields for 33 countries and 94 crop types, including key cereals in Sub-Saharan Africa such as wheat, maize, rice, sorghum, barley, millet, and fonio. This new dataset enhances our understanding of how climate variability and change influence agricultural production, supports subnational food system analysis, and aids in operational yield forecasting. As an open-source resource, it establishes a precedent for sharing subnational crop statistics to inform decision-making and modeling efforts. |
URI: | https://opendata.uni-halle.de//handle/1981185920/121072 http://dx.doi.org/10.25673/119116 |
Open Access: | ![]() |
License: | ![]() |
Journal Title: | Scientific data |
Publisher: | Nature Publ. Group |
Publisher Place: | London |
Volume: | 12 |
Original Publication: | 10.1038/s41597-025-05001-z |
Page Start: | 1 |
Page End: | 13 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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s41597-025-05001-z.pdf | 5.07 MB | Adobe PDF | ![]() View/Open |