Once the input data has been processed through SPAM the resulted output data is more granular (10 x 10 km grid-cell resolution) and specifically based on the four variables which are calculated by the model: physical area, harvest area, production and yield, for each of the 46 (SPAM 2020) crops, split by rainfed and irrigated production system, as well as the total combination of both.
Please check the methodology section for a thorough explanation.
SPAM 2020 generates a large collection of data:
~800,000 pixels X 46 crops X 3 production systems X 4 variables = ~500 million records
Therefore in the Global Data section, we split the choices by crop, production system and variable, and in the Bundled Data section, the files are split by spatial extent (11 world regions) and variable. The Country Data section enables download for a specific country, crop, production system and variable.
Feel free to choose whatever works best for you and contact us with any questions.
SPAM 2020 v1.0 Global data (Updated 2024-04-16)
Download pre-packaged SPAM 2020 v1.0 data and map files at the global level, as one separate file for each crop, production system, variable and format. The available formats are CSV, and GeoTIFF. See the ReadMe file first!
- Harvested Area: CSV, GeoTIFF
- Physical Area: CSV, GeoTIFF
- Yield: CSV, GeoTIFF
- Production: CSV, GeoTIFF
Citation
International Food Policy Research Institute (IFPRI), 2024, "Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0.0", https://doi.org/10.7910/DVN/SWPENT, Harvard Dataverse, V1
SPAM 2017 v2.1 Sub-Saharan Africa (Updated 2020-12-21)
Download pre-packaged SPAM 2017-SSA v1.1 data and map files, as one separate file for each crop, production system, variable and format. The available formats are CSV, DBF, and GeoTIFF. See the ReadMe file first!
- Harvested Area: CSV, DBF, GeoTIFF
- Physical Area: CSV, DBF, GeoTIFF
- Yield: CSV, DBF, GeoTIFF
- Production: CSV, DBF, GeoTIFF
- Value of Production: CSV, DBF, GeoTIFF
Citation
International Food Policy Research Institute, 2020, "Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017", https://doi.org/10.7910/DVN/FSSKBW, Harvard Dataverse, V2
SPAM 2010 v2.0 Global Data (Updated 2020-07-15)
Download pre-packaged SPAM 2010 v2.0 data and map files at the global level, as one separate file for each crop, production system, variable and format. The available formats are CSV, DBF, and GeoTIFF. See the ReadMe file first!
- Harvested Area: CSV, DBF, GeoTIFF
- Physical Area: CSV, DBF, GeoTIFF
- Yield: CSV, DBF, GeoTIFF
- Production: CSV, DBF, GeoTIFF
- Value of Production: CSV, DBF, GeoTIFF
Citation
International Food Policy Research Institute, 2019, "Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0", https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V4
SPAM 2005 v3.2 Global Data
Download pre-packaged SPAM 2005 v3.2 data and map files at the global level, as one separate file for each crop, production system, variable and format. The available formats are CSV, DBF, and GeoTIFF. See the ReadMe file first!
- Harvested Area: CSV, DBF, GeoTIFF
- Physical Area: CSV, DBF, GeoTIFF
- Yield: CSV, DBF, GeoTIFF
- Production: CSV, DBF, GeoTIFF
- Value of Production: CSV, DBF, GeoTIFF
Citation
International Food Policy Research Institute (IFPRI); International Institute for Applied Systems Analysis (IIASA), 2016, "Global Spatially-Disaggregated Crop Production Statistics Data for 2005 Version 3.2", https://doi.org/10.7910/DVN/DHXBJX, Harvard Dataverse, V9
SPAM 2000 v3.0.7 Global Data
Although the SPAM 2010 is the latest version, the previous SPAM 2000 v3.0.7 is still available as pre-generated data files, split by the variable. The available formats are CSV, DBF, and GeoTIFF.
- Harvested Area: CSV, DBF, GeoTIFF
- Physical Area: CSV, DBF, GeoTIFF
- Yield: CSV, DBF, GeoTIFF
- Production: CSV, DBF, GeoTIFF
Citation
International Food Policy Research Institute, 2019, "Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7", https://doi.org/10.7910/DVN/A50I2T, Harvard Dataverse, V1