In order to better understand how the FARM II project reached farmer-based organizations (FBOs) and farmers across the Greenbelt region and how the project may have influenced beneficiaries to use improved technologies or management practices, FARM II conducted two process evaluations in March 2016. The evaluations were conducted in 28 payams across eight counties of Central, Eastern, and Western Equatoria states. This first evaluation, the FBO survey, assessed the technical and managerial capacity of elected leaders of farmer-based organizations that received assistance from the FARM II project. The second evaluation, the farmer survey, measured knowledge, attitudes, and the application of improved technologies and management practices by targeted farmer beneficiaries.

In order to better understand how the FARM II project reached farmer-based organizations (FBOs) and farmers across the Greenbelt region and how the project may have influenced beneficiaries to use improved technologies or management practices, FARM II conducted two process evaluations in March 2016. The evaluations were conducted in 28 payams across eight counties of Central, Eastern, and Western Equatoria states. This first evaluation, the FBO survey, assessed the technical and managerial capacity of elected leaders of farmer-based organizations that received assistance from the FARM II project. The second evaluation, the farmer survey, measured knowledge, attitudes, and the application of improved technologies and management practices by targeted farmer beneficiaries.

This data asset contains the results of a 2013 household baseline survey in the Greenbelt region of South Sudan as part of an impact evaluation of the Food, Agribusiness, and Rural Markets (FARM) Project, which is intended to improve agricultural sector productivity and marketing in the Greenbelt and to support increasing South Sudan's food supply to reach food self-sufficiency. The survey used a stratified random sampling technique to identify 45 Farmer Based Organizations (FBOs), groups of farmers who work together to farm at least 10 feddans of communal land, from the 174 new FBOs the FARM Project planned to reach in 2013.

In Ethiopia, the project, led by the International Livestock Research Institute (ILRI), will be supporting crop-livestock farming systems. Multiple participatory and adaptive agricultural interventions are currently taking place in eight kebeles (Goshe Bado, Gudo Beret, Salka, Ilu-Sanbitu, Jawe, Upper Gana, Emba Hasti and Tsibet) in four regions (Amhara, Oromia, Southern Nations Nationalities and Peoples (SNNP), and Tigray) in Ethiopia, led by researchers from the ILRI. Experts from ILRI have supported or introduced intercropping, new crop varieties, water conservation practices, and integrated tree cropping. The International Food Policy Research Institute (IFPRI) leads the monitoring and evaluation (M&E) activities of the AR program. As part of the M&E activities in Ethiopia, IFPRI contracted BDS Center for Development Research to conduct baseline household and community surveys in Amhara, Oromia, SNNP, and Tigray regions. The main objective of this survey is to collect high-quality baseline household data to support the M&E activities of the AR Program in Ethiopia. More specifically, the survey aims to collect detailed information on the composition of the household, employment, health, agriculture, income and expenditures, credit, assets, subjective welfare and food security, shocks, and the anthropometric status of children and women.

This dataset is derived from a 2013 household baseline survey in the country's Greenbelt region as part of an impact evaluation of the Food, Agribusiness, and Rural Markets (FARM) Project, which is intended to improve agricultural sector productivity and marketing in the Greenbelt and to support increasing South Sudan's food supply to reach food self-sufficiency. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fifth spreadsheet of seven in the Baseline Survey for an Impact Evaluation of the Greenbelt Transformation Initiative in South Sudan-Data.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet of seven in the Baseline Survey for an Impact Evaluation of the Greenbelt Transformation Initiative in South Sudan-Data.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the seventh spreadsheet of seven in the Baseline Survey for an Impact Evaluation of the Greenbelt Transformation Initiative in South Sudan-Data.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet of seven in the Baseline Survey for an Impact Evaluation of the Greenbelt Transformation Initiative in South Sudan-Data.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet of seven in the Baseline Survey for an Impact Evaluation of the Greenbelt Transformation Initiative in South Sudan-Data.