Fertilizer Profitability Trials and Household Survey in Ethiopia

Replication Data for a study on fertilizer profitability in Ethiopia combines data from on-farm validation trials in 2021 and a 2023 survey of about 1000 cereal-producing households. The data was collected under the CGIAR Excellence in Agronomy initiative and includes secondary geospatial and market price data. The author is Oyinbo, Oyakhilomen from Harvard Dataverse.

Use Cases

• Analyze the relationship between landscape_position and fertilizer profitability using survey and trial data.
• Model fertilizer use decisions by correlating farm-household survey demographics with market_price data from FEWS NET and africafertilizer.org.
• Predict crop yield response by integrating on-farm trial results with geospatial soil_properties from iSDA and rainfall data from CHIRPS.
• Assess the impact of targeted_advisories on adoption rates across eight districts in Amhara, Oromia, and SNNP regions.

Strengths

• Survey covers about 1000 households across eight districts.
• Integrates primary survey/trial data with secondary geospatial and market data from authoritative sources like iSDA and CHIRPS.
• Geospatial soil data is provided at 30-meter spatial resolution.

Limitations

• Sample size of 1000 households may limit granular sub-regional analysis.
• Trial data from 2021 may not reflect current seasonal conditions.
• Unknown data completeness and handling of missing values for survey and secondary data.

Provenance

Source

CGIAR Excellence in Agronomy (EiA) initiative, Harvard Dataverse.

Collection Method

On-farm validation trials, random sample farm-household survey, and compilation from secondary sources (FEWS NET, africafertilizer.org, iSDA, CHIRPS).

Time Range

Trials from 2021, survey from 2023, secondary data time ranges unspecified.

Freshness

Data includes trials from 2021 and a survey from 2023; last updated in March 2026.

Geography

Eight districts in Amhara, Oromia, and SNNP regions of Ethiopia.