This dataset contains basic demographic and land ownership data for producer beneficiaries included in the FY 18 producer survey. This dataset is Module A of a data asset contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

This dataset contains information on horticultural crop production by producer beneficiaries included in the FY 18 producer survey. This dataset is Module D of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

This dataset contains information on the value and volume of horticultural produce sold by producer beneficiaries included in the FY 18 producer survey. This dataset is Module G of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

This dataset contains information on the value of loans accessed by producer beneficiaries included in the FY 18 producer survey. This dataset is Module H of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

This dataset contains information on the buyers to whom producer beneficiaries sold horticultural produce, as recorded in the FY 18 producer survey. This dataset is Module F of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

This dataset contains basic information on household composition of producer beneficiaries included in the FY 18 producer survey. This dataset is Module B of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

This data asset contains data from the beneficiary based fiscal year 2019 annual results survey of private sector firms assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using one level of stratification, firm type. Firms were selected from five different categories: Processor, Buyer, Local input supplier, Regional input supplier, Finance provider, and Other service provider. In total, 321 firms were surveyed. The data is split into modules. Module A captures basic identifying data on the firm. Module B captures information on the proprietors. Modules C, D, E, F, G and H capture data on sales of products and services. Module I captures information on business practices. Module J captures information on production costs. Module K captures information on access to finance.

This data asset contains data from the beneficiary based fiscal year 2019 annual results survey of private sector firms assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using one level of stratification, firm type. Firms were selected from five different categories: Processor, Buyer, Local input supplier, Regional input supplier, Finance provider, and Other service provider. In total, 321 firms were surveyed. The data is split into modules. Module A captures basic identifying data on the firm. Module B captures information on the proprietors. Modules C, D, E, F, G and H capture data on sales of products and services. Module I captures information on business practices. Module J captures information on production costs. Module K captures information on access to finance.

This dataset contains information on dietary diversity of female household members of producer beneficiaries included in the FY 18 producer survey. This dataset is Module C of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.