HarvestStat Africa - harmonized subnational crop statistics for Sub-Saharan Africa
Data files
Sep 04, 2024 version files 76.54 MB
Abstract
Sub-Saharan Africa (SSA) 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 SSA. 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 546,605 records, primarily spanning from 1980 to 2022, detailing crop production, harvested areas, and yields for 33 countries and 90 crop types, including key cereals in SSA 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 sets an important precedent for sharing subnational crop statistics to inform decision-making and modeling efforts.
README: Data for: HarvestStat Africa - harmonized subnational crop statistics for Sub-Saharan Africa
Authors:
D. Lee, W. Anderson, X. Chen, F. Davenport, S. Shukla, R. Sahajpal, M. Budde, J. Rowland, J. Verdin, L. You, M. Ahouangbenon, K. Davis, E. Kebede, S. Ehrmann, C. Justice, and C. Meyer
Author Information
Donghoon Lee
Department of Civil Engineering, University of Manitoba, Winnipeg, Manitoba, Canada\
Email: Donghoon.Lee@umanitoba.ca
Weston Anderson
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA\
Email: Weston@umd.edu
Xuan Chen
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA\
Email: X.Chen@cgiar.org
Frank Davenport
Climate Hazards Center, Department of Geography, University of California, Santa Barbara, California, USA\
Email: frank.davenport@geog.ucsb.edu
Shraddhanand Shukla
Climate Hazards Center, Department of Geography, University of California, Santa Barbara, California, USA\
Email: shrad@geog.ucsb.edu
Ritvik Sahajpal
Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA\
Email: ritvik@umd.edu
Michael Budde
U.S. Geological Survey, Earth Resources Observation and Science Center, Sioux Falls, SD, USA\
Email: mbudde@usgs.gov
James Rowland
U.S. Geological Survey, Earth Resources Observation and Science Center, Sioux Falls, SD, USA\
Email: rowland@usgs.gov
Jim Verdin
U.S. Agency for International Development, Washington, DC, USA\
Email: jverdin@usaid.gov
Liangzhi You
International Food Policy Research Institute, Washington, DC, USA\
Email: L.YOU@CGIAR.ORG
Matthieu Ahouangbenon
Department of Geography and Spatial Sciences, University of Delaware, Newark, DE 19716, USA\
Email: mathdel@udel.edu
Kyle Frankel Davis
Department of Geography and Spatial Sciences, University of Delaware, Newark, DE 19716, USA\
Email: kfdavis@udel.edu
Endalkachew Kebede
Department of Geography and Spatial Sciences, University of Delaware, Newark, DE 19716, USA\
Email: endiabe@udel.edu
Steffen Ehrmann
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany\
Email: steffen.ehrmann@idiv.de
Christina Justice
Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA\
Email: justicec@umd.edu
Carsten Meyer
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany\
Email: carsten.meyer@idiv.de
File List
- hvstat_africa_data_v1.0.csv A CSV file containing harmonized subnational crop statistics.
- hvstat_africa_boundary_v1.0.gpkg\ A GeoPackage file with FEWS NET’s administrative boundaries, aligned with crop statistics via FNID.
- fdw_raw_data_v1.0zip\
A zipped file containing raw FDW data for 33 countries, including:
- adm_crop_data_raw_AO.csv (Angola)
- adm_crop_data_raw_BF.csv (Burkina Faso)
- adm_crop_data_raw_BI.csv (Burundi)
- adm_crop_data_raw_BJ.csv (Benin)
- adm_crop_data_raw_CD.csv (Democratic Republic of the Congo)
- adm_crop_data_raw_CF.csv (Central African Republic)
- adm_crop_data_raw_CM.csv (Cameroon)
- adm_crop_data_raw_ET.csv (Ethiopia)
- adm_crop_data_raw_GH.csv (Ghana)
- adm_crop_data_raw_GN.csv (Guinea)
- adm_crop_data_raw_KE.csv (Kenya)
- adm_crop_data_raw_LR.csv (Liberia)
- adm_crop_data_raw_LS.csv (Lesotho)
- adm_crop_data_raw_MG.csv (Madagascar)
- adm_crop_data_raw_ML.csv (Mali)
- adm_crop_data_raw_MR.csv (Mauritania)
- adm_crop_data_raw_MW.csv (Malawi)
- adm_crop_data_raw_MZ.csv (Mozambique)
- adm_crop_data_raw_NE.csv (Niger)
- adm_crop_data_raw_NG.csv (Nigeria)
- adm_crop_data_raw_RW.csv (Rwanda)
- adm_crop_data_raw_SDSS.csv (South Sudan and Sudan)
- adm_crop_data_raw_SL.csv (Sierra Leone)
- adm_crop_data_raw_SN.csv (Senegal)
- adm_crop_data_raw_SO.csv (Somalia)
- adm_crop_data_raw_TD.csv (Chad)
- adm_crop_data_raw_TG.csv (Togo)
- adm_crop_data_raw_TZ.csv (Tanzania)
- adm_crop_data_raw_UG.csv (Uganda)
- adm_crop_data_raw_ZA.csv (South Africa)
- adm_crop_data_raw_ZM.csv (Zambia)
- adm_crop_data_raw_ZW.csv (Zimbabwe)