Data sets for the baseline survey for blended fertilizer. This dataset explores demographic details as well as knowledge, attitudes and practices of farmers in intervention zones in Ethiopia in relation to the above agricultural innovations. Furthermore, the surveys provide radio and ICT exposure information which will be used to measure changes in KAPs at endline. The New Alliance ICT Extension Challenge Fund is funded by several donors including the U.S. Government's Feed the Future initiative through USAID, UK Aid from the UK Government, the Bill & Melinda Gates Foundation and the International Fund for Agricultural Development. Farm Radio International is a sub-grantee under Digital Green's project in Ethiopia.

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 three in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information.

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 three in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information.

In Tanzania, the project, led by the International Institute of Tropical Agriculture (IITA), will be supporting cereal-based farming systems. Multiple participatory and adaptive agricultural interventions are currently taking place in Babati, Kongwa, and Kiteto, three districts in Tanzania, led by researchers from the IITA. Experts from IITA have supported or introduced intercropping, drought-tolerant crop varieties, water harvesting practices, and organic fertilizer application. 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 Tanzania, IFPRI contracted Economic Development Initiatives (EDI) to conduct baseline household and community surveys in Babati, Kongwa, and Kiteto districts. 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 Tanzania. 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.

In West Africa, IITA works with multi-disciplinary Results for Development (R4D) partners in selected communities located in Northern Ghana and Southern Mali. More particularly, in Northern Ghana three regions were chosen for the study: the Northern, Upper-East and Upper-West regions. These areas cover both maize-based and rice/vegetables-based systems and therefore allow to address the production constraints characterizing both realities. As IFPRI (2012) highlights, the northern regions of Ghana are characterized by small land holdings and low input / low output farming systems, which adversely impact food security. In particular, they are subject to a seasonal cycle of food insecurity of three to seven months for cereals (i.e., maize, millet and sorghum) and four to seven months for legumes (i.e., groundnuts, cowpeas, and soybeans). These crops in the savannahs are often produced in a continuous monoculture, steadily depleting the soil's natural resources and causing the yields per unit area to fall to very low levels. The poverty profile of Ghana identifies the three northern regions as the poorest and most hunger-stricken areas in the country. Gender inequalities are also apparent in these regions, since women have limited access to resources and therefore limited capacity to generate income on their own.

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 two in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE- Children File.

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 dataset contains the data describing non-food expenditures over the month prior to the survey collected as part of the baseline survey generated in support of an impact evaluation of the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project.

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.

The Feed the Future Partnering for Innovation (FTF-P4I) initiative is a USAID-funded program that helps commercialize agricultural innovations in smallholder markets by supporting public-private partnerships to meet food security objectives. FTF-P4I requires private sector subawardees to report on proprietary business and sales data rather than collect farmer-level data, and when necessary program staff then use this data in combination with assumptions around product usage to calculate specific indicators such as the number of farmers impacted by program activities or the number of hectares under improved technologies or management practices. FTF-P4I then confirms farmer-level impact with additional field surveys, especially for subawardees with significant potential impact on women or with sales to farmers through third party distributors. These measures guarantee greater data quality of both sales data and assumptions used to calculate indicators, such as the number of farmers applying improved technologies, as well as promote better precision on farmer-level impact and impact on women. The submitted dataset includes the results of seven subawardees located in Kenya (Surehatch, AATF) and Mozambique (BOM, iDE, NCBA CLUSA, EMCL).