IFPRI Datasets

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

× This dataset is was created by re-compiling available open, gender/sex-disaggregated Feed the Future datasets for Bangladesh and applying standard processing methods to enhance their accessibility and interoperability. This process entailed the standardization of variable names and labels, the creation of derived socio-economic indicators such as dietary diversity scores, household dependency ratios, and household age and gender composition. This dataset allows researchers to easily use data for Bangladesh, as well as make cross country comparisons with other standardized datasets. Moreover, the provision of household GIS coordinates (offset for confidentiality purposes) allows users to match data at different levels. This work combines multi-topic household and community socio-economic and agricultural surveys with biophysical datasets from multiple sources, including remote sensing, for a thorough comparison of different phenomena. These biophysical sources include the International Soil Reference and Information Centre (ISRIC) World Soil Information, NASA MODIS vegetation indices and land surface temperature data, and the HarvestChoice spatially-disaggregated subnational crop production statistics database (Spatial Production Allocation Model; SPAM).

× Funded under the Feed the Future (FTF) Initiative, the Bangladesh Agricultural Value Chains (AVC) project being implemented by Development Alternatives International (DAI) is working to improve food (and nutrition) security through strengthened agricultural value chains.

The dataset comprises information gathered from a baseline survey of farmer households in rural districts in southern Bangladesh. The sample was composed of 1,000 households primarily growing a food crop (mung bean) and 1,000 household growing a non-food crop (jute). The survey collected information on: demographics; agricultural production and marketing; assets, expenditures and consumption, and women’s empowerment in agriculture.

× Funded under the Feed the Future (FTF) Initiative, the Bangladesh Agricultural Value Chains (AVC) project was implemented by Development Alternatives International (DAI) and strove to improve food and nutrition security through strengthened agricultural value chains.

This dataset contains data from the final round of household survey interviews from the Impact Evaluation associated with the Bangladesh AVC project, which covered producer and input retailer households for two value chains. The sample is divided into five groups. Groups 1 through 3 refer to interviews along the jute value chain, while groups 4 and 5 refer to interviews along the mung bean value chain. Group 1 households are jute farmer households interviewed in 2016, 2017 and 2018. Group 2 households are jute farmer households interviewed in 2017 and 2018 (after expanding the original sample). Group 3 households are jute input retailers interviewed in 2017 and 2018. Group 4 households are mung bean farmer households interviewed in 2018. Group 5 households are mung bean input retailers interviewed in 2018.

Households completed two interview forms. A household-level form was administered to all households and included questions on household characteristics, agricultural production, and input purchases (or sales). An individual-level form was administered to male and female respondents, and included questions on household demographics and consumption. Group 2 households also completed a series of modules as part of the Project-Level Women’s Empowerment in Agriculture Index (Pro-WEAI).

× Funded under the Feed the Future (FTF) Initiative, the Bangladesh Agricultural Value Chains (AVC) project being implemented by Development Alternatives International (DAI) is working to improve food (and nutrition) security through strengthened agricultural value chains.

This dataset contains data from the second round of household survey interviews from the impact evaluation of the Bangladesh AVC project. The dataset contains three respondent groups. Group 1 households are jute farmer households who were previously interviewed in 2016. Group 2 households are jute farmer households added to the sample at midline (2017). Group 3 households are local jute input retailers.

The dataset contains information on: household composition and socio-demographic characteristics of household members; agricultural production (including jute, other crops, input & labor usage, and agricultural practices used; relations with other value chain actors (input sellers); and household assets and expenditures on food and non-food items.

× This dataset is the result of the household survey conducted to gather data at baseline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The baseline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had four components—(i) census, (ii) household survey, (iii) community survey, and (iv) frontline health workers survey. The census gathered data on household composition and child age, and was used to generate the sampling frame for the survey in the selected survey villages. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

The data included here are from the survey of households. The survey was conducted in the 20upazilas across 13 districts in Bangladesh between April and August 2010 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

×
This dataset is the result of the frontline health worker (FLW) survey conducted to gather data at baseline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The baseline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had four components—(i) census, (ii) household survey, (iii) community survey, and (iv) frontline health workers survey. The census gathered data on household composition and child age, and was used to generate the sampling frame for the survey in the selected survey villages. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

Two questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, and (ii) Shasthya Kormi (SK) questionnaire. The data included here are from the survey of Shasthya Kormi. The survey was conducted in the 20 upazilas across 13 districts in Bangladesh between April and August 2010 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

×
This dataset is the result of the frontline health worker (FLW) survey conducted to gather data at baseline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The baseline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had four components—(i) census, (ii) household survey, (iii) community survey, and (iv) frontline health workers survey. The census gathered data on household composition and child age, and was used to generate the sampling frame for the survey in the selected survey villages. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

Two questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, and (ii) Shasthya Kormi (SK) questionnaire. The data included here are from the survey of Shasthya Shebika. The survey was conducted in the 20 upazilas across 13 districts in Bangladesh between April and August 2010 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the household survey conducted to gather data at endline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The endline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had three components—(i) household survey, (ii) community survey, and (iii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The endline household survey was developed using the baseline evaluation questionnaires as a base, and adapted to capture key program activities, particularly with regards to the use of A&T community services and exposure to mass media. The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

The data included here are from the survey of households. The survey was conducted in the 20 upazilas across 10 districts in Bangladesh between April and June 2014 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the frontline health worker (FLW) survey conducted to gather data at an endline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The endline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had three components—(i) household survey, (ii) community survey, and (iii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The endline household survey was developed using the baseline evaluation questionnaires as a base, and adapted to capture key program activities, particularly with regards to the use of A&T community services and exposure to mass media. The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

Three questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, (ii) Shasthya Kormi (SK) questionnaire, and (iii) Pushti Kormi questionnaire. The data included here are from the survey of Pushti Kormi. The survey was conducted in the 20 upazilas across 10 districts in Bangladesh between April and June 2014 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the frontline health worker (FLW) survey conducted to gather data at an endline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The endline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had three components—(i) household survey, (ii) community survey, and (iii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The endline household survey was developed using the baseline evaluation questionnaires as a base, and adapted to capture key program activities, particularly with regards to the use of A&T community services and exposure to mass media. The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

Three questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, (ii) Shasthya Kormi (SK) questionnaire, and (iii) Pushti Kormi questionnaire. The data included here are from the survey of Shasthya Kormi. The survey was conducted in the 20 upazilas across 10 districts in Bangladesh between April and June 2014 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the frontline health worker (FLW) survey conducted to gather data at an endline as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The endline survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had three components—(i) household survey, (ii) community survey, and (iii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The endline household survey was developed using the baseline evaluation questionnaires as a base, and adapted to capture key program activities, particularly with regards to the use of A&T community services and exposure to mass media. The community survey provided data on key community characteristics such as availability of infrastructure, availability, and access to education, health services, and healthcare providers. The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, and their job motivation, satisfaction, and supervision.

Three questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, (ii) Shasthya Kormi (SK) questionnaire, and (iii) Pushti Kormi questionnaire. The data included here are from the survey of Shasthya Shebika. The survey was conducted in the 20 upazilas across 10 districts in Bangladesh between April and June 2014 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the household survey conducted to gather data for a process evaluation as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The process evaluation survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had two components—(i) household survey, and (ii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, complementary feeding, sanitation and hygiene practices, and their job supervision and contact with other workers; their knowledge and skills about Pustikona.

The data included here are from the survey of households. The survey was conducted in the 25 upazilas across 13 districts in Bangladesh between April and August 2013 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the frontline health worker (FLW) survey conducted to gather data for a process evaluation as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of the A&T community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The process evaluation survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had two components—(i) household survey, and (ii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, complementary feeding, sanitation and hygiene practices, and their job supervision and contact with other workers; their knowledge and skills about Pustikona.

Three questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, (ii) Shasthya Kormi (SK) questionnaire, and (iii) Pushti Kormi questionnaire. The data included here are from the survey of Pushti Kormi. The survey was conducted in the 25 upazilas across 13 districts in Bangladesh between April and August 2013 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the frontline health worker (FLW) survey conducted to gather data for a process evaluation as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The process evaluation survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had two components—(i) household survey, and (ii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, complementary feeding, sanitation and hygiene practices, and their job supervision and contact with other workers; their knowledge and skills about Pustikona.

Three questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, (ii) Shasthya Kormi (SK) questionnaire, and (iii) Pushti Kormi questionnaire. The data included here are from the survey of Shasthya Kormi. The survey was conducted in the 25 upazilas across 13 districts in Bangladesh between April and August 2013 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× This dataset is the result of the frontline health worker (FLW) survey conducted to gather data for a process evaluation as a part of an impact evaluation study of Alive & Thrive (A&T) interventions delivered through Building Resources Across Communities' (BRAC) Essential Health Care (EHC) Program in Bangladesh. The objective of the impact evaluation study is to evaluate the synergistic impact of A&T’s community component along with media communications and private sector activities such as the promotion and integration of micronutrient powders.

A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

In Bangladesh, A&T is working with the government, nongovernmental organizations, and private initiatives to support the implementation of the National IYCF Strategy and Action Plan. The BRAC organization is delivering A&T’s community interventions within its EHC Program and its Maternal, Neonatal, and Child Health (MNCH) Program. BRAC’s frontline health workers, known as Shasthya Shebika and Shasthya Kormi, delivered age-appropriate IYCF counseling and support services during home visits, antenatal and postnatal sessions, and health forums.

The process evaluation survey conducted as part of the impact evaluation of A&T interventions delivered through BRAC’s EHC platform had two components—(i) household survey, and (ii) frontline health workers survey. The household survey captured the main impact indicators for A&T (WHO-recommended IYCF indicators and child anthropometry), use and exposure to A&T’s intervention platforms, and a variety of other data related to the use of the interventions. This included data on caregiver knowledge and perceptions about IYCF practices, challenges experienced in relation to IYCF practices, caregiver resources (such as education, childcare knowledge, and experience, and physical and mental health) and household resources (such as household composition, socioeconomic status, and food security). The frontline health worker survey gathered data on service provision by BRAC frontline health workers, traditional birth attendants (TBA), and village doctors. Data were also gathered on health worker time commitment, knowledge and attitude and training related to IYCF, complementary feeding, sanitation and hygiene practices, and their job supervision and contact with other workers; their knowledge and skills about Pustikona.

Three questionnaires were developed for frontline health workers survey—(i) Shasthya Shebika (SS) questionnaire, (ii) Shasthya Kormi (SK) questionnaire, and (iii) Pushti Kormi questionnaire. The data included here are from the survey of Shasthya Shebika. The survey was conducted in the 25 upazilas across 13 districts in Bangladesh between April and August 2013 by the IFPRI team in collaboration with Data Analysis and Technical Assistance, Ltd. (DATA).

× The Bangladesh Climate Change Adaptation Survey (BCCAS), Round I contains data on 800 farming households. It provides information on demographic characteristics, social capital, land tenure, crop and livestock management, input use, extension, incidence of climatic shocks in the last five years and adaptation options. The survey was conducted from December 2010 to February 2011, covering data from the previous production year. It covers households in the 7 broad agroecological zones a s grouped by the Bangladesh Center for Advanced Studies. (2014)

× The Bangladesh Climate Change Adaptation Survey (BCCAS), Round II is a follow up survey to BCCAS, Round I. About 97.34 percent of households from BCCAS I were reinterviewed in 2012. The survey captures information on demographic characteristics, social capital, land tenure, crop and livestock management, input use, extension, incidence of climatic shocks in the last five years and adaptation options and if there are any changes from 2010 survey. . The survey was conducted from September to October 2012, covering data from the previous production year. It covers households in the 7 broad agroecological zones as grouped by the Bangladesh Center for Advanced Studies. (2014-11-21)

× The original objective for collecting this detailed household data set arose from the concern about food security of the rural households and non-availability of job opportunities during the flood of 1998 and in the period following the flood, and to suggest policy measures to improve household food security in a sustainable way. The data collected covers 757 households in seven flood-affected rural areas at three points in time over a period of a year between November 1998 and December 1999 to capture the difference in labor participation and food security in the period following the flood and to understand the capabilities of recovering from the shock of the flood. Topics in the household survey include household information, education, employment and training, agricultural activity, fishing and livestock activity, allocation of family labor, social assistance, household assets, credit, housing and sanitation, non-food spending, food expenditure and consumption, health status, and anthropometry. Topics in the community survey include level of agricultural production, employment, prices, cost of farming, economic activity, law and order, intervention programs, and information about the flood at the thana, union, and village level.

× Bangladesh Integrated Household Survey (BIHS) 2011-2012 is the only nationally representative survey that has collected data on (1) plot-level agricultural production and practices, (2) dietary intake of individual household members, and (3) anthropometric measurements of all household members.The BIHS covers 6500 households in 325 primary sampling units. The sample is statistically representative at following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet; and (c) representative of the Feed the Future (FTF) zone of influence.

× Bangladesh that collects detailed data on (1) plot-level agricultural production and practices, (2) dietary intake of individual household members, (3) anthropometric measurements (height and weight) of all household members, and (4) data to measure women’s empowerment in agriculture index (WEAI). A community survey supplements the BIHS data to provide information on area-specific contextual factors. The BIHS covers 6500 households in 325 primary sampling units. The sample is statistically representative at following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet; and (c) representative of the Feed the Future (FTF) zone of influence.

The first round of survey can be accessed at http://hdl.handle.net/1902.1/21266.

× This is the third round of the Bangladesh Integrated Household Survey (BIHS). BIHS is the only nationally representative survey in Bangladesh that collects detailed data on (1) plot-level agricultural production and practices, (2) dietary intake of individual household members, (3) anthropometric measurements (height and weight) of all household members, and (4) data to measure women’s empowerment in agriculture index (WEAI). A community survey supplements the BIHS data to provide information on area-specific contextual factors. The BIHS covers 5604 households in 325 primary sampling units. The sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; and (b) representative of rural areas of each of the seven administrative divisions of the country: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet.

× The SHAHAR (Supporting Household Activities for Health, Assets and Revenue) project aims to increase incomes and improve unhygienic environments and sanitation conditions in poor urban communities, including slums, in major selected secondary cities in Bangladesh. Using relevant indicators namely socioeconomic; health and hygiene; nutrition and diet; and governance and social institutions the project provides insight into the livelihood conditions and the livelihood security of these slum households. The SHAHAR baseline survey was conducted in July to August, 2002 in slum (basti) communities in Dinajpur. The SHAHAR census survey suggested that only 52 percent of households had children under 5 years of age; doubling the sample size would ensure that the final sample would have at least this many households with children under 5 years of age. This gave an estimated sample size of 271 * 2 = 542. As slum dwellers are assumed to be highly mobile, and the losses would increase over the year between round I in July – August, 2002 and round III a year later, a substantial reserve was added to the sample, as well as some allowance for refusal or other non-response, for a final total of 614 households. The field survey was carried out by two teams, each consisting of three male and female pairs and a supervisor. One pair interviewed one household at a time, with the female interviewer interviewing the main female member of the household and collecting information on household composition, migration and education; training; savings; loans; food consumption; household food security; health; anthropometry and childcare; environment, water and sanitation; shocks and coping strategies; social capital; crime, violence, physical security; governance; and women’s status. The male interviewer interviewed the main male member of the household asking questions on language, religion, and migration; training; employment; transfers, social assistance and other income; household assets; land ownership and tenure; urban agriculture; savings; loans; housing; non food expenditure; shocks and coping strategies; social capital; crime, violence and physical security; and governance. The pairs on each team worked together to cover three households per day and the 614 households surveyed in approximately 39 days in July to August, 2002 in Dinajpur. The first baseline data of SHAHAR project, 2000 is also available from IFPRI’s website at http://www.ifpri.org/data/bangladesh04.htm.

× The SHAHAR (Supporting Household Activities for Health, Assets and Revenue) project implemented by CARE-Bangladesh aims to establish household livelihood security for vulnerable urban households. Using relevant indicators, the project intends to assess changes in various household livelihood security measures that are expected due to SHAHAR's interventions. The information in the baseline dataset is meant to provide a basis for monitoring changes over the life of the project. The SHAHAR Baseline Survey was conducted in August 2000 in slums and low-income settlements within the municipal areas of Jessore and Tongi in Bangladesh. Households were selected randomly from a complete listing done as part of a census in the areas only a few months before. The sample size was chosen based on a desire to estimate the prevalence of malnutrition of children 0-60 months old with a confidence level of 90 percent and an error level of 5 percent (requiring a sample size of 271). Because only about half the households had children 60 months and younger, and because a simple random sampling method was used, the team surveyed about twice that number to ensure obtaining a sample of at least 271 households in each location with children 60 months and younger. The team actually surveyed 563 households in Jessore and 557 households in Tongi. This gives higher levels of precision for overall household-level variables. Topics in the baseline dataset include household composition, migration and education, status of employment and earnings, transfers, social assistance and other income, household assets, urban agriculture, savings, loans, housing, environment, water and sanitation, daily food, consumption, diarrhea and other illnesses, health, nutrition knowledge and practice, pre-school feeding, utilization of health care facilities for pregnancy/birth, anthropometry, community participation, general household livelihood security. The SHAHAR Census Survey was administered to all households in the selected settlement areas of Jessore and Tongi in April-May 2000. The total number of households in the census survey is estimated at 11,228 in Jessore and 13,664 in Tongi. The total number of household members is estimated at 51,832 persons in Jessore and 56,689 persons in Tongi. Topics include household demographics, literacy, gross monthly income, ownership of homestead land, housing, migration, water and sanitation facilities, and practice of urban agriculture.

× This dataset provides information on the impact of commercial vegetable and polyculture fish production on income, household resource allocation, and nutrition in Bangladesh. The questionnaire was administered to 5,541 individuals in 955 rural households in 47 villages in four rounds from June, 1996 through September, 1997. The data were collected as part of an impact evaluation of new agricultural technologies being disseminated through NGOs. Topics in the household survey include income, household value of consumed goods; social capital; shock history; credit given and obtained; inheritance/assets at wedding/divorce; family background; health care and birth control use; household sanitation behavior; reproductive history and mortality; nutrition knowledge; food preferences; women's autonomy and decision making. Topics in the community survey include temperature and rainfall. This dataset, along with the KwaZulu-Natal Income Dynamics Survey dataset and the Strengthening and Evaluation of the Hogares Comunitarios Program in Guatemala City dataset, were collected with the objective of examining to what extent intrahousehold allocation processes would affect the outcome of development policies, with particular emphasis on gender as a determinant of intrahousehold allocation. Because the data were designed to make some analyses comparable across countries, several modules are similar for all three datasets. The common modules include: information on assets at marriage of husband and wife, family background information, individual education and anthropometric data. Other modules are different because each country study has a different emphasis. See Table 1 (PDF 65K) for a comparison of these datasets.

× This data study contains data on the activities by concerned farmer organizations and focuses on household, farmers? way of life, family members, property and income-generating activities through agriculture and livestock. Project title: Sustainable Intensification of Key Farming Systems in the Sudano-Sahelian Zone of West Africa. Project abstract: As part of the Feed the Future Initiative, the United States Agency for International Development (USAID) is supporting an innovative multi-stakeholder agricultural research program, the Africa Research in Sustainable Intensification for the Next Generation (Africa RISING). The program?s main objective is to identify and validate scalable options for the sustainable intensification of key African cereal-based farming systems to increase food production and improve the livelihoods of smallholder farmers and at the same time conserve or improve the natural resource base. Project website: http://africa-rising.net

× In Uganda, use of high-quality agricultural inputs like hybrid seed, agrochemicals, and fertilizer is extremely low. This depresses farm incomes and contributes to low agricultural productivity that continues to be hampered by poor agronomic practices, low quality germplasm, declining soil fertility, and losses due to pests, disease, and postharvest handling practices. Low levels of agricultural technology adoption have been compounded by a lack of farmer trust in the current inputs supply system, which has been plagued by counterfeiting. Counterfeit products range from benign fake or adulterated materials to banned substances that are harmful to crops and human health. Counterfeit agricultural inputs directly reduce productivity and, together with the perception of widespread counterfeiting, reduce demand for high-quality inputs. This lowers input prices and reduces profits for producers of genuine products, causing a form of “adverse selection” in which counterfeit products push high-quality genuine products out of the market.

In the face of this problem, United States Agency for International Development (USAID) through the Feed the Future (FTF) initiative is supporting the development of a program for input quality assurance called e-verification (EV). E-verification involves labeling genuine agricultural inputs with a scratch-off label that provides an authentication code that can be used to confirm that the labeled product is genuine. Given the potential importance of this initiative, USAID is funding an independent impact evaluation of the effectiveness of the EV system at improving adoption of high-quality inputs and reducing the prevalence of counterfeiting. The impact evaluation will estimate the impact of the e-verification scheme on each of these outcomes and will examine how the e-verification project achieved its results.

To undertake the impact evaluation, IFPRI conducted a baseline survey of communities, shops, and households. This survey resulted in the dataset contained in this study. The team identified ten major maize growing regions, termed market hubs, which covered districts (and surroundings) of Hoima, Iganga, Kasese, Kiboga, Luwero, Masaka, Masindi, Mbale, Mityana, and Mubende. Within these market hubs, the study sampled 120 market locations (trading centres or collections of shops) from which households source agricultural inputs. Within each market location, a matched pair of two villages was sampled. The baseline survey was targeted towards ten households in each of the 240 villages (LC1s). The sample ultimately resulted in 2,378 households being surveyed. The study is designed to measure the impact of e-verification interventions on glyphosate herbicide, hybrid maize seed and inorganic fertilizer. Glyphosate herbicide is expected to be the first input released through the e-verification scheme.

× In Uganda, use of high-quality agricultural inputs like hybrid seed, agrochemicals, and fertilizer is extremely low. This depresses farm incomes and contributes to low agricultural productivity that continues to be hampered by poor agronomic practices, low quality germplasm, declining soil fertility, and losses due to pests, disease, and postharvest handling practices. Low levels of agricultural technology adoption have been compounded by a lack of farmer trust in the current inputs supply system, which has been plagued by counterfeiting. Counterfeit products range from benign fake or adulterated materials to banned substances that are harmful to crops and human health. Counterfeit agricultural inputs directly reduce productivity and, together with the perception of widespread counterfeiting, reduce demand for high-quality inputs. This lowers input prices and reduces profits for producers of genuine products, causing a form of “adverse selection” in which counterfeit products push high-quality genuine products out of the market.

In the face of this problem, United States Agency for International Development (USAID) through the Feed the Future (FTF) initiative is supporting the development of a program for input quality assurance called e-verification (EV). E-verification involves labeling genuine agricultural inputs with a scratch-off label that provides an authentication code that can be used to confirm that the labeled product is genuine. Given the potential importance of this initiative, USAID is funding an independent impact evaluation of the effectiveness of the EV system at improving adoption of high-quality inputs and reducing the prevalence of counterfeiting. The impact evaluation will estimate the impact of the e-verification scheme on each of these outcomes and will examine how the e-verification project achieved its results.

To undertake the impact evaluation, IFPRI conducted a baseline survey of communities, shops, and households. This survey resulted in the dataset contained in this study. The team identified ten major maize growing regions, termed market hubs, which covered districts (and surroundings) of Hoima, Iganga, Kasese, Kiboga, Luwero, Masaka, Masindi, Mbale, Mityana, and Mubende. Within these market hubs, the study sampled 120 market locations (trading centres or collections of shops) from which households source agricultural inputs. Within each market location, a matched pair of two villages was sampled. The baseline survey was targeted towards ten households in each of the 240 villages (LC1s). The sample ultimately resulted in 2,378 households being surveyed. The study is designed to measure the impact of e-verification interventions on glyphosate herbicide, hybrid maize seed and inorganic fertilizer. Glyphosate herbicide is expected to be the first input released through the e-verification scheme.

× In Uganda, use of high-quality agricultural inputs like hybrid seed, agrochemicals, and fertilizer is extremely low. This depresses farm incomes and contributes to low agricultural productivity that continues to be hampered by poor agronomic practices, low quality germplasm, declining soil fertility, and losses due to pests, disease, and postharvest handling practices. Low levels of agricultural technology adoption have been compounded by a lack of farmer trust in the current inputs supply system, which has been plagued by counterfeiting. Counterfeit products range from benign fake or adulterated materials to banned substances that are harmful to crops and human health. Counterfeit agricultural inputs directly reduce productivity and, together with the perception of widespread counterfeiting, reduce demand for high-quality inputs. This lowers input prices and reduces profits for producers of genuine products, causing a form of “adverse selection” in which counterfeit products push high-quality genuine products out of the market.

In the face of this problem, United States Agency for International Development (USAID) through the Feed the Future (FTF) initiative is supporting the development of a program for input quality assurance called e-verification (EV). E-verification involves labeling genuine agricultural inputs with a scratch-off label that provides an authentication code that can be used to confirm that the labeled product is genuine. Given the potential importance of this initiative, USAID is funding an independent impact evaluation of the effectiveness of the EV system at improving adoption of high-quality inputs and reducing the prevalence of counterfeiting. The impact evaluation will estimate the impact of the e-verification scheme on each of these outcomes and will examine how the e-verification project achieved its results.

To undertake the impact evaluation, IFPRI conducted a baseline survey of communities, shops, and households. This survey resulted in the dataset contained in this study. The team identified ten major maize growing regions, termed market hubs, which covered districts (and surroundings) of Hoima, Iganga, Kasese, Kiboga, Luwero, Masaka, Masindi, Mbale, Mityana, and Mubende. Within these market hubs, the study sampled 120 market locations (trading centres or collections of shops) from which households source agricultural inputs. Within each market location, a matched pair of two villages was sampled. The baseline survey was targeted towards ten households in each of the 240 villages (LC1s). The sample ultimately resulted in 2,378 households being surveyed. The study is designed to measure the impact of e-verification interventions on glyphosate herbicide, hybrid maize seed and inorganic fertilizer. Glyphosate herbicide is expected to be the first input released through the e-verification scheme.

× In Uganda, use of high-quality agricultural inputs like hybrid seed, agrochemicals, and fertilizer is extremely low. This depresses farm incomes and contributes to low agricultural productivity that continues to be hampered by poor agronomic practices, low quality germplasm, declining soil fertility, and losses due to pests, disease, and postharvest handling practices. Low levels of agricultural technology adoption have been compounded by a lack of farmer trust in the current inputs supply system, which has been plagued by counterfeiting. Counterfeit products range from benign fake or adulterated materials to banned substances that are harmful to crops and human health. Counterfeit agricultural inputs directly reduce productivity and, together with the perception of widespread counterfeiting, reduce demand for high-quality inputs. This lowers input prices and reduces profits for producers of genuine products, causing a form of “adverse selection” in which counterfeit products push high-quality genuine products out of the market.

In the face of this problem, United States Agency for International Development (USAID) through the Feed the Future (FTF) initiative is supporting the development of a program for input quality assurance called e-verification (EV). E-verification involves labeling genuine agricultural inputs with a scratch-off label that provides an authentication code that can be used to confirm that the labeled product is genuine. Given the potential importance of this initiative, USAID is funding an independent impact evaluation of the effectiveness of the EV system at improving adoption of high-quality inputs and reducing the prevalence of counterfeiting. The impact evaluation will estimate the impact of the e-verification scheme on each of these outcomes and will examine how the e-verification project achieved its results.

To undertake the impact evaluation, IFPRI conducted a baseline survey of communities, shops, and households. This survey resulted in the dataset contained in this study. The team identified ten major maize growing regions, termed market hubs, which covered districts (and surroundings) of Hoima, Iganga, Kasese, Kiboga, Luwero, Masaka, Masindi, Mbale, Mityana, and Mubende. Within these market hubs, the study sampled 120 market locations (trading centres or collections of shops) from which households source agricultural inputs. Within each market location, a matched pair of two villages was sampled. The baseline survey was targeted towards ten households in each of the 240 villages (LC1s). The sample ultimately resulted in 2,378 households being surveyed. The study is designed to measure the impact of e-verification interventions on glyphosate herbicide, hybrid maize seed and inorganic fertilizer. Glyphosate herbicide is expected to be the first input released through the e-verification scheme.

× This survey includes data from the Enquête des Petits Producteurs (Small Farmer Survey) carried out by IFPRI and LARES (Laboratoire d'Analyse Regionale et d'Expertise Sociale, Cotonou, Republic of Benin). The objectives were to describe rural livelihoods, examine how conditions for farmers have changed over time, and assess the impact of agricultural reforms on rural households. The training of enumerators, field testing of the survey and final revision of the questionnaire took place in June-July 1998. The survey itself was carried out over the period August to November 1998. The households were selected using a two-stage stratified random sample procedure based on the 1997 Pre-Census of Agriculture. In each of the six departments, villages randomly selected, with the number of villages proportional to the volume of agricultural production, subject to a minimum of 10 villages per department. In total, 100 villages were selected. In each village, nine households were randomly selected using listed prepared for the pre-Census. Three alternative households were selected for each village in case one or more of the nine were unavailable. In a few villages, the number of interviewed households was eight or ten, resulting in a final sample size of 899 farm households. Topics addressed in the survey include household and land characteristics, crop production, main agricultural activities, use of fertilizers and other inputs, source of credit, sale and use of crops, storage, consumption, time allocation, and sources of income as well as community level data on transport structure, marketing of agricultural products, village groups, agricultural production, extension services, and formal/informal credit.

× Biomass yield is taken on seasonal basis and the effect of supplementing the fodder to livestock in terms of weight gain/milk yield is documented using different tools following the growth and harvest of the fodder. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/irr_rain_fodder

× Contour farming with banks stabilization using fodder crops (trees and grass) was introduced and validated by Africa RISING researchers in Kongwa and Kiteto district. The technology involves the construction of Fanya chini (bank-below-ditch) along a contour on the upper edge of the field as the first line of defense to capture run-off entering the field, and Fanya juu (bank-over-ditches) is constructed along contours within the field to intercept run-off water. Food crops are grown in the alleys between the Fanya juus. Fodder trees ( e.g. Gliricidia sepium), grass fodder (e.g. Guatemala; Tripsacum spp), and/or cover crops can be planted on the banked soil to stabilize the ridges and provide multiple benefits to farmers. The benefits of this technology include the reduction of soil erosion and the loss of nutrients to rehabilitate land for crop production. In addition, it produces fodder and fuelwood from vegetation grown on the banks to diverse production and income sources as a risk mitigation and climate adaptation strategy. This dataset contains data collected to validate this technology with farmers.

× The 1996 Bolivia Social Accounting Matrix (SAM) permits a meaningful and detailed analysis of the productive structure of the economy as well as alternative trade reforms and income distribution channels. Agricultural activities are further disaggregated into agriculture and livestock production. Manufactures are disaggregated into multiple sectors and products in order to identify export manufacture. Labor is disaggregated according to skill, and type of occupation, while households are classified according to geographical location (urban vs. rural). Taxes are differentiated into income, sales and tariffs. Finally, the accompanying paper describes both the macroeconomic and microeconomic SAMs, paying special attention to a careful documentation of data sources, assumptions, and balancing methods.

× The Bolivia Social Accounting Matrix (SAM), 2012 was built with a focus on analyzing the structure and importance of the agricultural sector and gender differences in the Bolivian economy, and understanding the linkages between agricultural production, factor income distribution, and households' incomes and expenditures. It is the most detailed, openly accessible SAM for Bolivian economy to date. The 2012 Input-Output (I-O) was the main data source used in building the disaggregated activity sector and comm odity accounts of the 2012 Bolivia SAM.

× The Botswana Social Accounting Matrix (SAM), 2007 is an update of the official 1996/97 and 2002/03 SAM. It separates 32 activities and 32 commodities; labor is disaggregated by 5 occupation groups; and household into 6 groups based on the rural/urban and income status of the household head. This SAM is a useful database for conducting economywide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× The aggregated and disaggregated Brazil Social Accounting Matrices for 1995-96 are primarily based on the 1995 Input-Output Table and National Accounts for Brazil, as well as the 1995-96 Agricultural Census. The disaggregated SAM has a total of 119 accounts. This SAM is characterized by its disaggregation of agricultural production activities by region (Amazon, Northeast, Center-west, and South and Southeast) and farm size (small and large). The aggregated version is based on the disaggregated SAM. It has a total of 71 accounts; agricultural activities and factors are not disaggregated by region. For a description of the construction and use of these SAMs, see Research Report #129, Balancing Agricultural Development and Deforestation in the Brazilian Amazon.

× The aggregated and disaggregated Brazil Social Accounting Matrices for 1995-96 are primarily based on the 1995 Input-Output Table and National Accounts for Brazil, as well as the 1995-96 Agricultural Census. The disaggregated SAM has a total of 119 accounts. This SAM is characterized by its disaggregation of agricultural production activities by region (Amazon, Northeast, Center-west, and South and Southeast) and farm size (small and large). The aggregated version is based on the disaggregated SAM. It has a total of 71 accounts; agricultural activities and factors are not disaggregated by region. For a description of the construction and use of these SAMs, see Research Report #129, Balancing Agricultural Development and Deforestation in the Brazilian Amazon.

× This data set contains GIS source data files showing breakeven installed costs for solar PV system (unit: US$/Wp) over Africa South of Sahara calculated in a study that compares the economic cost of groundwater pumping for irrigation powered by solar PV and diesel energy. It consists of three sets of data files for three scenarios:

Breakeven installed cost calculated under reference diesel fuel price scenario (price escalation rate=2%);
Breakeven installed cost calculated under high diesel fuel price scenario (price escalation rate=4%);
Breakeven installed cost calculated under low diesel fuel price scenario (price escalation rate=0).

× This dataset is generated from the study conducted to evaluate the effect of information and communications technology (ICT) based extension services on knowledge, attitudes, and practices among smallholder farmers in Tanzania. A baseline survey of randomly selected 100 dairy farmers was conducted to collect information on the basic characteristics of the sample. After the baseline survey, short and clear messages about dairy and poultry production were disseminated over 14 weeks using the MWANGA platform, a short message service. An endline survey along with focus group discussion was conducted at five sites in the Babati District of Tanzania. Data collected included uptake of improved forages, knowledge in the use of forages and animal husbandry, and practices in animal production among others.

× This dataset is the baseline survey for the impact evaluation of the World Bank- funded program: PNDSA II (Programme National de Services Agricoles) in Burkina Faso. The objective of this program was to strengthen the Rural Producers Organizations (POs) capacities to provide services for their members. The program also created PO councils at the district level "Départements" in Burkina Faso, through which the organizations can exchange information on their experiences. The sampling design included several independent strata meant to reflect different agro-ecological areas in the North, the Central North, the West, the South, and the Southeast. Within each district, 14 villages were randomly selected. When the number of villages in the district was less than 14, all villages were included in the sample and additional villages were eventually selected in larger districts. Four series of questionnaires were used: village-level; household-level; PO-level; and specific PO activities. Topics covered are information at the village level; basic information on all households in the community, including their participation in the different POs in the village; information on all POs in the village (with a limit of five), and on collective field, cotton, trade, and horticulture when such activities were undertaken by the POs. A related survey is Senegal PSAOP Impact Analysis Baseline Survey, 2002-2003, which used similar questionnaires in Senegal.

× IMPACT lite is a tool, developed by the International Livestock Research Institute (ILRI) that provides a unifying framework for collecting detailed information on farm resources, farm management strategies, farm productivity and household economics at the household-level.
The objective of this survey is to capture within-site variability on key livelihood indicators that could be used for a range of analysis including the modelling of impact of adaptation and mitigation strategies on livelihoods, food security and the environment. The survey was carried out in 13 other benchmark sites across East Africa, West Africa, and South Asia. IMPACT Lite data from Satkhira, Bangladesh were collected by IFPRI as part of the IFPRI-CCAFS Gender and Climate Change Survey Data.

× Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an effort to make such datasets harmonized and interoperable. For Africa South of the Sahara (SSA) region, the HarvestChoice CELL5M Database was developed in this spirit of moving multidisciplinary data into one harmonized, geospatial database. The database includes over 750 biophysical and socio-economic indicators, many of which can be easily expanded to global scale. The CELL5M database provides a platform for cross-cutting spatial analyses and fine-grain visualization of the mix of farming systems and populations across SSA. It was created as the central core to support a decision-making platform that would enable development practitioners and researchers to explore multi-faceted spatial relationships at the nexus of poverty, health and nutrition, farming systems, innovation, and environment. The database is a matrix populated by over 350,000 grid cells covering SSA at five arc-minute spatial resolution. Users of the database, including those conduct researches on agricultural policy, research, and development issues, can also easily overlay their own indicators. Numerical aggregation of the gridded data by specific geographical domains, either at subnational level or across country borders for more regional analysis, is also readily possible without needing to use any specific GIS software. See the HCID database ( http://dx.doi.org/10.7910/DVN/MZLXVQ ) for the geometry of each grid cell. The database also provides standard-compliant data API that currently powers several web-based data visualization and analytics tools.

× This data files includes full metadata records of 12,131 SCI-indexed journal articles authored by CGIAR scientists published between January 2000 to November 2016, retrieved from Web of Science by Thomson Reuters. With this data, co-authorships of research outputs published by CGIAR scientists were analyzed to examine whether CGIAR’s scientific and technical partnerships were broadened across CGIAR Centers and with external partners. Scientometric analysis showed that CGIAR scientists’ research partnership steadily increased over the years. Percentage of articles co-authored with external partners did not change much, yet many new partnerships were formed within CGIAR as well as with external partners. Number of total journal articles also steadily increased in more diverse research topics, published in more diverse journals.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Ghana. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Ghana. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing for analysis of the impact of COVID-19 through time.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Kenya. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 600 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Kenya. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 600 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Kenya. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Kenya. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 600 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 540 women and 219 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time. This is Round 1 of the five surveys done so far.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 490 women and 200 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time. This is Round 2 of the five surveys done so far.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 449 women and 178 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time. This is Round 3 of the five surveys done so far.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 421 women and 161 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time. This is Round 4 of the five surveys done so far.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 449 women and 178 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time. This is Round 5 of the five surveys done so far.

× This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nigeria. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

× The Cereal Systems Initiative for South Asia (CSISA) was launched in 2009 with support from the Bill and Melinda Gates Foundation (BMGF) and the United States Agency for International Development (USAID). CSISA’s objective is to develop and deploy more efficient, productive and sustainable technologies for the diverse rice-wheat production systems of the Indo-Gangetic Plains (IGP) that ultimately improve food supply and improve the livelihoods of the poor in the region. CSISA builds on previous collaborative efforts (notably the Rice-Wheat Consortium, RWC) by bringing IRRI and CIMMYT together with the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), and the WorldFish Center to accelerate sustainable intensification of cereal productivity growth in South Asia and to improve the poverty impacts of such growth. CSISA’s vision is to decrease hunger and malnutrition and to increase food and income security for resource-poor farm households in Bangladesh, India, Nepal and Pakistan through the accelerated development and inclusive deployment of new and improved crop varieties, sustainable technologies and management practices, and improved policies. CSISA activities are based on a “hub approach”, which emphasizes the role of a central innovation and delivery center from which activities are directed. Hubs serve as unique platforms for integrating scientific research into on-farm trials with the help of partners from government and private sector organizations. The hubs are created to provide farmers with a complete range of quality inputs, objective technical guidance, easy crop financing, and direct output linkages for farmers. Hub scientists focus on a suite of technologies geared toward sustainable increases in cereal productivity and farm income. These technologies are made accessible to resource-poor farmers, providing a means by which they may potentially escape the trap of persistent poverty. (2013-09-04)

× This dataset is part of the focus on forages and feed as a key opportunity for driving sustainable intensification of crop livestock systems in Tanzania. It falls under integrated livestock feeds component (ILF) to enhance integration of improved management and feeding strategies with emphasis on utilization of local feed resources for indigenous poultry. The objective of the study was characterization and quantification of different indigenous chicken production, feeding and management systems in Babati District. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/baseline-dataset

× The 1996 SAM for Chile breaks down the economy into two sectors: the productive sector which is classified in 13 different activities (agriculture, wood and paper, fishing, mining (except oil), oil, extraction and refinery, manufactures, electricity, gas and water, construction, commerce, transport and communication, other services) and the institutional sectors: private non-financial sector (households, rest of the private non-financial sector), public sector (government, public non-financial firms), financial institutions (Central Bank, private banks, other financial institutions). The sources for this SAM are official studies published by the Central Bank of Chile, a non-official study, and a non-official study prepared for internal use by the Central Bank of Chile, Ministerio de Planificación y Cooperación (MIDEPLAN) and Comisión Económica para América Latina y el Caribe (CEPAL).

× China wheat middlemen survey is the study of Chinese middlemen in the wheat value chain in the province of Hena. These data allow us to quantify the extent of food loss in the middlemen level using consistent approaches that are comparable across commodities and regions. They also enable us to characterize the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× China wheat wholesaler survey is the study of the wholesalers in the wheat value chain in the province of Henan. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× China Wheat Producer Survey is the study of the producers in the wheat value chain in the province of Henan. These data allow quantifying the extent of food loss in the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× This dataset provides information on key economic indicators, agricultural output and inputs, public investments, poverty, and various social indicators in China. Cross-section (29 provinces) and time-series (50 years from 1952 to 2001) data are included in this dataset. The dataset consists of 50 variables altogether, including agricultural and nonagricultural GDP, agricultural labor, agricultural output, agricultural population, arable land, share of rural population with college education, total telecommunication expenditures (rural and urban), draft animals, education expenditures, rural electricity consumption, total expenditures in electricity construction, fertilizer use in pure nutrients, rural illiteracy rate, machinery use, official rural poverty rates, rural education expenditures, agricultural research expenditures, road construction expenditures, rural telephones, etc.

× The Chronic Poverty and Long Term Impact Study in Bangladesh project, which focuses on 102 villages characteristic of rural Bangladesh, aims to further our understanding of the economic, social and political processes that shape chronic poverty in Bangladesh together with the impact of selected anti-poverty interventions on poverty dynamics. After initial community level fieldwork approximately 1,907 core households first surveyed in 1994, 1996, or 2000 were interviewed in late 2006 to ascertain how their living standards, endowment and other characteristics have changed over time and what role selected interventions have had on their welfare trajectories. 365 households who had split from their original households were also interviewed Detailed life-histories were then collected from a stratified sub-sample of approximately 293 adult men and women living in 161 households in order to better understand which events, institutions and processes have trapped certain households in chronic poverty while allowing others to escape from it. By analysing the results of the community level focus groups, panel survey and life-histories interviews together, a much fuller and more nuanced understanding of chronic poverty and the impact of the selected interventions is produced. The panel survey component of the study builds on evaluation studies on the provision of Food or Cash for Education (FFE/CFE) to poor families; production-related interventions, through the introduction of new agricultural technologies; and microfinance, through Non-Governmental organizations (NGOs). This webpage presents the combined dataset of all the three individual datasets for each study. The Food for Education (FFE) survey was conducted in Bangladesh in 2000 and 2003 to evaluate the effect of a conditional transfer of food or cash to poor families, which was designed to increase school attendance. In 2000, the survey covered 600 households in 60 villages in 30 unions in 10 thanas, and 110 schools in the same 30 unions from which the household sample was drawn. In 2003, two thanas were dropped from the sample, reducing the sample size to 480 households and the number of thanas to 8. In 2006/7, there were 511 households from 8 upazilas (the new name for thana). These datasets are available from IFPRI’s website at Impact Evaluation of Food for Education Program in Bangladesh, 2000 and Comparing Food versus Cash for Education Program in Bangladesh, 2003. The Micronutrients-Gender study, also known as the Agricultural Technology Study, was carried out in 1996-1997 to evaluate the micronutrient/gender impact of new agricultural technologies being disseminated by nongovernmental organizations (NGOs) through a variety of targeting mechanisms in three sites in rural Bangladesh: improved vegetables (Saturia); individual fishponds (Mymensingh); and group fishponds (Jessore). The survey covered 330 households in three categories in each site: NGO-member adopting households, NGO-member likely adopter households in villages where the technology was not yet introduced, and a sampling of all other households in both types of villages to represent the general population. This individual dataset is available from IFPRI’s website at Commercial vegetable and polyculture fish production — their impacts on income, household resource allocation, and nutrition, 1996-1997. The Microfinance study was conducted in Bangladesh in 1994 to analyze the determinants of the formation of and participation in group-based rural financial institutions and the effects of participation on household resource allocation, income generation, and food and nonfood consumption. The study included a 120-village community level survey, 128 credit groups, and a household survey of 350 households in 7 villages. The study included credit groups formed by three Nongovernmental organizations (NGOs)- Association for Social Advancement (ASA), Bangladesh Rural Advancement Committee (BRAC), and Rangpur-Dinajpur Rural Services (RDRS). Household surveys were based on stratified random sampling, with household possession of land as the stratifier, irrespective of membership in NGO programs. This individual dataset is available from IFPRI’s website at Rural Finance and Food Security Study in Bangladesh, 1994.

× The Cocoa Sector Expenditure and Revenue in Ghana dataset contains expenditure and revenue data from cocoa sector in Ghana. The dataset aggregates information from various sources including Food and Agriculture Organization (FAO), Ghana Cocoa Board (COCOBOD), and Producer Price Review Committee (PPRC). These data are available from 1996-2012.

× The coffee producer survey was conducted to study the coffee value chains in order to make recommendations to policymakers on how to improve the value chain to the benefit of farmers. The data collected in this survey helps to understand how the coffee value chains are transforming in terms of quality and demand of coffee, adoption of modern inputs in coffee farming, and farmers' access to input and services.

× This data study contains field trial data on crop management, yield, farmers field school (FFS) attendance. Project title: Decentralized System for Community-Based Seed Production and Extension Provision. Project abstract: Unavailability of quality seed of commonly grown crops was one of the priority constraints to increased agricultural productivity identified during the PCA. It is the aim of this activity to develop a system whereby this bottleneck can be addressed in a sustainable manner, as far as possible relying on private initiative and community interest rather than be dependent on extension / input support provided by BoAs line agencies and/or NGOs. The approach will work closely with the Model/Lead Farmer concept (1 to 5) which is widely promoted by the GoE with a Farmer Field School (light) approach, that promotes farmer-to-farmer extension. Project website: http://africa-rising.net

× Trade-off analysis of BROAD BEANS/forage production system. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/faba_analysis

× The Comparing Food versus Cash for Education survey was conducted in Bangladesh in 2003 to compare the effect of using food or cash as a conditional transfer, designed to increase school attendance, to poor households. The original survey, carried out in 2000 including Food for Education (FFE) program beneficiaries and nonbeneficiaries, covered 600 households in 60 villages in 30 unions in 10 thanas, and 110 schools in the same 30 unions from which the household sample was drawn. Ten thanas were first randomly selected with probability proportional to size (PPS), based on thana-level population data from the 1991 census, and two FFE unions and one non-FFE union were selected per thana. From each union, two villages were randomly selected with PPS using village-level population data from the 1991 census. A complete census of the households was then carried out in each of the selected villages, and ten households that had at least one primary-school-age child (6 to 12 years old) were randomly selected in each village from the census list of households. IFPRI resurveyed the same households in 2003, to construct the 2000 and 2003 panel dataset for households and schools, with the exception of households in two thanas, which were dropped from the 2003 survey.The 2000 survey is also available from IFPRI's website at Impact Evaluation of Food for Education Program in Bangladesh.

× The present data is from a long-term trial set at Msekera Research Station in Zambia to monitor and evaluate the long-term effects of conservation agriculture practices on soil quality, soil water dynamics, weeds, pests/diseases, and crop yield. This trial was conducted from 2012 to 2020. The ten treatments including control were: T1: Control plot 1 (CPM1): traditional farmers practice mouldboard plough on the flat, maize as a sole crop, no residue retention, stubble incorporated into the row for the following season. T2: Control plot 2 (CPM2); ridge and furrow system dug by hand, maize as a sole crop, no residue retention, stubble incorporated into the row for the following season T3: Basins (BAM), residue retention on the surface, maize as a sole crop T4: Dibble stick (DISM), residue retention on the surface, maize as a sole crop T5: Direct seeder (DSM), residue retention on the surface, maize as a sole crop T6: Direct seeding maize/cowpea intercropping (DS-M/C), 90cm rows, residue retention on the surface T7: Direct seeding cowpea (Cowpea-maize rotation) (DS-MC), residue retention on the surface T8:Direct seeding maize (Maize-cowpea rotation) (DS-CM), residue retention on the surface T9:Direct seeding soya (Soybean-maize rotation) (DS-MS), residue retention on the surface T10: Direct seeding maize (Maize-soybean rotation) (DS-SM), residue retention on the surface

× This study contains data originated from on-farm trials that were conducted to test and demonstrate the crop yield and economic benefits derived from manual and animal traction conservation agriculture (CA) systems on smallholder farms where the ridge and furrow tillage system is the traditional practice. The farm trials were conducted at six farms in Chipata, Lundazi, and Sinda districts of the eastern province of Zambia. In each site, the trials were replicated four times and had two general treatment sets:1) manual CA; and 2) animal traction CA. The manual CA system trial consisted of three treatments and these treatments were compared with conventional ridge and furrow practice at each farmer's field. The four treatments including control were: - Conventional ridge and furrow with continuous sole maize (CRF); - No-tillage / Dibblestick CA system with continuous sole maize; - Dibblestick CA system with maize intercropped with cowpea; - Dibblestick CA with maize rotated with legumes. The animal traction CA system consisted of two treatments that were compared with a conventional ridge and furrow practice at each farmer's field. The three treatments including control were: - Conventional ridge and furrow with continuous sole maize (CRF); - Animal traction (AT) ripline seeding with continuous sole maize; - Animal traction (AT) ripline seeding with maize rotated with legumes.

× This study contains data originated from on-farm trials that were conducted to test and demonstrate the crop yield and economic benefits derived from manual and animal traction conservation agriculture (CA) systems on smallholder farms where the ridge and furrow tillage system is the traditional practice. The farm trials were conducted at six farms in Chipata, Lundazi, and Sinda districts of the eastern province of Zambia. In each site, the trials were replicated four times and had two general treatment sets:1) manual CA; and 2) animal traction CA. The manual CA system trial consisted of three treatments and these treatments were compared with conventional ridge and furrow practice at each farmer's field. The four treatments including control were: - Conventional ridge and furrow with continuous sole maize (CRF); - No-tillage / Dibblestick CA system with continuous sole maize; - Dibblestick CA system with maize intercropped with cowpea; - The animal traction CA system consisted of two treatments that were compared with a conventional ridge and furrow practice at each farmer's field. The three treatments including control were: - Conventional ridge and furrow with continuous sole maize (CRF); - Animal traction (AT) ripline seeding with continuous sole maize; - Animal traction (AT) ripline seeding with maize rotated with legumes.

× This dataset is a result of a study that was carried out in nine on-farm sites of Central and Southern Malawi to understand and compare the effects of different cropping systems (conservation agriculture (CA) and conventional) on soil physical and chemical parameters and long-term maize productivity. Six experiments were established in each target community. Each experiment had three treatments at one farm and was treated as a replicate, plot sizes were 0.1 ha per treatment. The treatments were as follows: 1. Conventional control plot consisting of the traditional ridge and furrow land preparation planted with continuous monocrop maize (CPM). The residues were managed using methods commonly practiced in each extension planning area; i.e., the residues were incorporated into the ridges. Continuous monocrop maize was planted on the ridges. 2. CA plot with continuous monocrop maize (CAM) planted into the previous years? ridges (where they still existed) or directly into the plot without previous ridge formation. Crop residues from the previous years? harvests were retained as a surface mulch. Maize seeds were planted as sole crops in no-till methods using a pointed stick (dibble stick). 3. CA plot with maize intercropped with a legume [cowpea or pigeon pea or groundnut. Both crops were planted with the dibble stick into the previous years? ridges (where they still existed) or directly into the plot without further ridging. Crop residues were retained as surface mulch as in treatment 2.

× This dataset is a result of a study that was carried out in nine on-farm sites of Central and Southern Malawi to understand and compare the effects of different cropping systems (conservation agriculture (CA) and conventional) on soil physical and chemical parameters and long-term maize productivity. Six experiments were established in each target community. Each experiment had three treatments at one farm and was treated as a replicate, plot sizes were 0.1 ha per treatment. The treatments were as follows: 1. Conventional control plot consisting of the traditional ridge and furrow land preparation planted with continuous monocrop maize (CPM). The residues were managed using methods commonly practiced in each extension planning area; i.e., the residues were incorporated into the ridges. Continuous monocrop maize was planted on the ridges. 2. CA plot with continuous monocrop maize (CAM) planted into the previous years? ridges (where they still existed) or directly into the plot without previous ridge formation. Crop residues from the previous years? harvests were retained as a surface mulch. Maize seeds were planted as sole crops in no-till methods using a pointed stick (dibble stick). 3. CA plot with maize intercropped with a legume [cowpea or pigeon pea or groundnut. Both crops were planted with the dibble stick into the previous years? ridges (where they still existed) or directly into the plot without further ridging. Crop residues were retained as surface mulch as in treatment 2.

× The data is collected through a primary field survey of around 600 ginger-cultivating farm households in Nepal, using a structured questionnaire. It aims at identifying the determinants of participation in contract farming of ginger in Nepal and assess impact of contract on farmers’ profits and adoption of food safety practices at farm-level. The data includes farm and farmer characteristics, cropping pattern, economics of cultivation, marketing channels, and good agricultural practices. The survey was conducted during December 2014 in the hill districts of Pyuthan, Palpa, and Arghakhanchi, located in the Western and Mid-western development regions of Nepal. These districts were chosen due to high concentration of contract farmers there. The sample comprises 322 contract farmers and 283 noncontract farmers.

× In collaboration with AR partners, contribute to the integration of R&D activities at project level and the joint planning & implementation of activities. This may include the following: - In collaboration with Internal Livestock Research Institute (ILRI), plan and carry out nutrient analysis of crop residues suitable as animal feed such as broad beans residues and wheat straw (led by ILRI). - In collaboration with International Center for tropical agriculture (CIAT), follow up on value chain work on priority crops and livestock and contribute to the development of value chain activities (led by CIAT); - In collaboration with International Water Management Institute (IWMI), explore the use of small scale irrigation facilities for the production of high value crops such as potato during off season periods (led by IWMI); - Identification and exploitation of potential synergies between International Potato Center's (CIP) AR component and the Humid Tropics program; - Explore opportunities with International Maize and Wheat Improvement Center (CIMMYT), International Center for Agricultural Research in the Dry Areas (ICARDA) and national partners to initiate joint system level research and development (R&D) activities. Project title: Contribute to the integration of AR activities into coherent project programmes. Project abstract: In 2014, participatory community analyses (PCA) were undertaken by multi-disciplinary facilitation teams in 8 kebeles in the Amhara, Tigray, Oromia and SNNPR regions, producing a list of priority farming enterprises, their current bottlenecks, as well as farmer-perceived opportunities for improving income, food security and/or reducing overall risks by intensifying farm enterprises. The PCA was carried out in discussions with kebele members and local leaders, with over 250 men, women and young people. Feedback on the results will be given to the farmers and future participatory planning and implementation of activities based on the results of the PCA and feedback sessions. Project website: http://africa-rising.net

× The 1997 SAM for Costa Rica takes into account the new non-traditional export sectors spurred by the export promotion policies of the past two decades. The existing SAMs for Costa Rica do not include these new sectors and the productive linkages between these and the rest of the economy. To attend this serious gap,an effort was carried out to compile a 1997 SAM for Costa Rica, the construction of which is explained in this document along the lines of a ‘top-down’ estimation procedure. The entries of the new SAM were first adjusted in a summary set of national accounts and then subsets of estimates were adjusted to the controlling aggregate totals. The elimination of data discrepancies, in particular the reconciliation of national accounts data and survey data, was successfully implemented using the Cross-Entropy (CE) method whereby a comprehensive set of constraints could be imposed using all the prior reliable information available. The macro SAM was disaggregated to arrive at a ‘raw micro SAM’. The activity account was split into the 17 production activity accounts, including but not limited to domestic, traditional and non-traditional export agriculture, food industries, textiles, wood products, oil and chemicals, paper, construction, trade, restaurants and hotels, transport and communucation, electricity, gas and water, financial services and insurance. In consistency with the activity breakdown, the flows in the commodity account were split into 17 accounts. Row-wise these flows included intermediate consumption, private and government consumption, gross fixed capital formation, inventory change,export subsidies, and exports. Column-wise the disaggregation was for sale and consumption taxes, import tariffs, export taxes and imports, using national accounts data at the commodity level.

× This data study explores raising and sustaining productivity in cereal-legume cropping systems in northern Ghan. Project title: AfricaRISING - Sustainable intensification of cereal-based farming systems in the Guinea-Sudan-Savanna of Ghana and Mali. Project abstract: Mono-cropping of sesame(Sesame indicum L.) is being promoted for cash to diversify smallholder income in the northern Ghana. The objective of this activity is to evaluate agronomic options for integrating sesame into maize, sorghum, and millet cropping systems. A split-plot design replicated in 3-4 communities per region will be used within row spacing 1 and 2 weeks after planting maize. For the trials, data will be collected on growth of maize and sesame, light interception/leaf area index, weed diversity and biomass, grain yield of maize and sesame, soil temperature, soil moisture, and plant pest and diseases. Output and input will be collected for cost benefit analysis. Project website: https://africa-rising.net

× This is a processed dataset of approximately 20,000 near-surface remote sensing images acquired using inexpensive smartphones within the context of a picture-based insurance (PBI) initiative of 1,685 smallholder farmers fields in northwest India. Monitoring crop growth and disturbances is critical in strengthening farmers’ ability to manage production risks. The data presented monitors winter wheat growth and includes meta-data, either manually or automatically derived, to quantify 5 crop greenness, phenology and damage events as well as management practices. Our dataset offers granular visual field data, with processed images and detailed meta-data that provide information on the timing of key developmental phases of winter wheat and crop growth disturbances which are not registered by common satellite remote sensing vegetation indices or national crop cut surveys. The purpose of this high-resolution dataset is to provide a rich source of inputs in supporting of crop modeling and production risk assessment in support of food security in smallholder agricultural systems. We, therefore, foresee that these data will find applications in crop modeling, remote sensing validation and machine learning-based crop assessment.

× Physical and chemical evaluation of crop residue samples and measurement of biomass wastage. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/crop_residue_mgm

× This data study contains cost-benefit analysis data for different vegetable technologies. Project title: AfricaRISING- Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa. Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods, and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa, the project is being implemented in Tanzania and Malawi, and Zambia. In Tanzania, the project is being implemented in Babati and Kongwadistricts in Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agroecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. The pilot site for the study will be Eastern and Lusaka provinces in Zambia. Project website: http://africa-rising.net

× The data provide details on the costs of two interventions on gendered community-based advisory services. One intervention took place in Mozambique, focusing on agricultural extension on sustainable land management (SLM) practices, the other in Tanzania, which provided paralegal aid through community workers advising farmers on land rights. For each of the two programs, detailed data were collected on costs incurred by the implementation agency for the period of the project—May 2013 through July 2014 for Tanzania and 2010 to 2013 for Mozambique. The data were recorded monthly in Tanzania, and in an even more detailed manner in Mozambique, by time of acquisition or expenditure of each item or activity. The costs were all based on actual expenditures, and not on budgeted figures. In the case of Tanzania, cost data were submitted by implementing agency, Mama's Hope Organization for Legal Assistance (MHOLA), to the research team every three months, giving opportunity to obtain timely clarification and ask for corrections in cases of incorrect entries, while in the case of the Mozambique program, data were obtained from the project after project completion. All data were available highly disaggregated by labour cost (including type of labour and type of compensation such as allowances, salary, stipends, and so forth), transport costs (for example, fuel), capital outlays (such as purchase of motorcycles and furniture), office operational costs, workshop and training expenses, and other categories.

In the Tanzania project, expenditures were recorded at the district level of the two intervention districts, such that the intervention cost can be measured separately for each district. Some types of costs that were more centralized and were not direct field outlays were assigned to the central project office in Bukoba. The spatial details of costs are richer and more complex in the Mozambique program. Costs at the lowest (community) level center around goods and services directly provided to contact farmers. The most significant costs at the administrative post level are those associated directly with extension officers, of which two are deployed in each post. At the district level, the program put in place a district facilitator and an environmental specialist to attend to various aspects of the project. Central costs include all the expenses of compensation of non-field-project staff for them to design and conduct the program, their travel costs to get to the field sites, capital outlays such as for vehicles, and various operational expenditures.

× Democratic Republic of the Congo (DRC) Micronutrient Cross-Sectional Household Survey is a comprehensive nutritional survey among women (18–45 years) and their children (6–59 months) in the South Kivu and Kongo Central Provinces of the Democratic Republic of Congo (DRC). The survey was conducted to assess the prevalence of anemia and micronutrient deficiencies among women of childbearing age and children under five years of age.

In this cross-sectional survey, 744 mother-child pairs were recruited using a probability proportionate to size (PPS) sampling method in select health zones of South Kivu and the rural district of Lukaya in Kongo Central, DRC between June and October 2014. This dataset includes information on household's socio-economic characteristics; water, sanitation and hygiene practices; child health and health-seeking behavior; and consumption of bean.

Anthropometric measurements were taken by trained personnel using the Food and Nutrition Technical Assistance (FANTA) Anthropometric Indicators Measurement Guide.

× Estabilishing platfroms at different levels, Regular Innovation Platform meetings, IP Facilitation Guidelines, Training on Facilitation, Coordination and Communiation for IP members, Farmers Field Day. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/innovation_platform_design

× This data study contains data from participatory community analyses (PCA) in 8 kebeles in the Amhara, Tigray, Oromia and SNNPR regions. Project title: Develop community Action Plans for Meher 2014. Project abstract: In 2014, participatory community analyses (PCA) were undertaken by multi-disciplinary facilitation teams in 8 kebeles in the Amhara, Tigray, Oromia and SNNPR regions, producing a list of priority farming enterprises, their current bottlenecks, as well as farmer-perceived opportunities for improving income, food security and/or reducing overall risks by intensifying farm enterprises. The PCA was carried out in discussions with kebele members and local leaders, with over 250 men, women and young people. Feedback on the results will be given to the farmers and future participatory planning and implementation of activities based on the results of the PCA and feedback sessions. Project website: http://africa-rising.net

× HarvestPlus, part of the CGIAR Research Program on Agriculture for Nutrition and Health (A4NH), seeks to improve the nutrient density of staple food crops through conventional plant breeding.the nutrient density of staple food crops through conventional plant breeding. In 2011, three first-wave varieties of yellow cassava, containing 6-7 ppm of provitamin A, were released in Nigeria, while the full target (15 ppm of provitamin A) varieties are expected to be released in 2015/2016. Initially, the target levels of provitamin A in cassava were set by using rough estimates on cassava intake (grams/day); bioconversion, the retinol equivalency of provitamin A carotenoids, and losses of provitamin A during processing and cooking. However, accurate information on the above parameters were needed to confirm our initial assumptions. A study on bioconversion was performed as well as retention studies. In the present study we aimed to assess the cassava intake and the vitamin A deficiency among women and preschool children in Nigeria. Therefore, we conducted a cross-sectional survey in rural to moderately-urbanized areas of Akwa-Ibom, a state identified as having high cassava consumption and high prevalence of vitamin A deficiency among children under the age of 5. The specific aims of the study were: 1) to quantify the cassava and nutrient intake, and 2) to assess the vitamin A and iron status among preschool children and women of childbearing age. (2015-03-24)

× This data is from a study conducted with 80 directors of agriculture in Ghana’s Metropolitan, Municipal, and District Assemblies (MMDAs). The aim of the survey was to identify how the devolution of agriculture functions to the MMDAs since 2012 has affected their job functions and ability to provide agricultural services to the communities in which they work.

The survey is split into 9 modules:
1. Location (LN) – preliminary characteristics of the location where the DDA is employed; the gender of the respondent is also recorded in this module
2. General Information (ID) – basic demographic and educational background, as well as the length of time the director has served in the MMDA
3. Employment History (EH) – details on the current job, number of previous jobs, district location of previous jobs, job experiences, and aspirations within the civil service
4. Agricultural Planning and Implementation (AP) – questions related to the agricultural planning process within the district
5. Agricultural Budgets and Expenditures (AB) – details on the agricultural budgeting and expenditure process
6. Engagement with the District Assembly (DA) – questions related to directors’ relationship with the other sectoral departments of the MMDA
7. Devolution Transition Process (DT) –details about the 2012 devolution transition process and the perceived challenges and opportunities that emerged from that reform
8. Staffing and Resources (SR) – opinions and perspectives of the directors on the staffing and resource availability in their offices
9. Final Section (FI) – enumerator observations

× Ethiopia has made efforts to tackle the challenges of low crop and livestock productivity and degradation of land resources through various rural development strategies. However, increasing demands for food, animal feed, fuel, and income-generating activities are putting pressure on the land. In this paper, we describe the production pressure and competition between crop and livestock production, quantify rates of land-use/cover (LULC) changes, and examine driving forces and consequences of land conversion. The study was conducted in Gudo Beret watershed, North Shewa Zone of Amhara region, Ethiopia. It used a combination of methods including remote sensing, household interviews, field observations, focus group discussions, and key informant interviews. Supervised and unsupervised image classification methods were employed to map LULC classes for 31 years (1984–2016). The results of satellite remote sensing revealed that 51% of the land in the study area was subject to accelerated land conversions. The household survey results indicated that feed resources and grain production pressures were 1.43 and 1.34 t ha−1 respectively. The observed annual changes in plantation and settlement areas were 2.6% and 2.9%. This was mainly at the expense of bushland and grazing land systems. Cropland increased (0.4% year−1) while grazing land reduced (3.5% year−1) under contrasting dynamics and competitive changes. An increase in human and livestock populations and farm expansion were major drivers of land conversion that adversely affected household livelihoods and the natural ecosystem. The consequences of these pressures resulted in a lack of animal feed, low crop-livestock productivity, and a reduction in natural vegetation coverage. We suggest that sustainable land resource management, more integrated crop-livestock production, and the use of productivity-enhancing technologies could play a role in managing competition for land resources.

× This study contains data from individual household survey on different transhumance practices; local perceptions on benefits and constraints of these practices; and the effects of these practices on natural resource management.

× This study contains data originated from on-farm trials that were conducted to test and demonstrate the crop yield and economic benefits derived from conservation agriculture (CA) systems on smallholder farms where the ridge and furrow tillage system is the traditional practice. The farm trials were conducted at six farms in Chipata, Lundazi, and Sinda districts of the eastern province of Zambia. In each site, the trials were replicated four times and had two general treatment sets:1)conservation agriculture; and 2) Conventional ridge and furrow systems. The sub-treatments were: - Sole cropping groundnuts; - Sole cropping pigeonpea. - Full population of groundnuts + half population of pigeonpea; - Full population of groundnuts and pigeon; -The trials were conducted over multiple years: - Year 1: Legume phase; - Year 2: Maize phase + legume phase; - Year 3: Legume phase + maize phase.

× This dataset was generated from the research conducted to evaluate the impact of intercropping on crop productivity and drought resistance in terms of crop yield, whole-system yield based on nutritional yields and Land Equivalent Ratio, and yield loss due to drought. The experiment was conducted at a previously established ICRAF field trial in Manyusi village, Kongwa District, Dodoma, Tanzania. The drought was imposed in the field using rainout shelters on five cropping systems with and without fertilizer application in the 2019 cropping season. The treatment factors and levels were as follows: cropping system (sole maize, sole pigeonpea, maize-pigeonpea, maize-gliricidia, and maize-pigeonpea-gliricidia, fertilization (fertilized, unfertilized), and water (ambient rainfall, drought). The experiment layout was a randomized split-split-plot with the main plot in a randomized complete block design with three replications. The drought was imposed beginning at maize anthesis and continued past harvests of maize and pigeonpea. Data were collected in the field on-site rainfall, air temperature and relative humidity, and photosynthetically active radiation, and in the laboratory on crop grain biomass, gravimetric water content, and soil properties using crop and soil samples from the field. Crop grain yields were calculated from laboratory measurements and used to calculate nutritional yield, land equivalent ratio, and drought resistance, vapor pressure deficit was calculated from air temperature and relative humidity, and the fraction of transmitted photosynthetically active radiation was calculated from field-measured data.

× Ecuador potato middlemen survey is the study of the middlemen in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the middlemen level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Ecuador potato producer survey is the study of the producers in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Ecuador potato wholesaler survey is the study of the wholesalers in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Local chickens in rural areas are mostly kept under minimal input of resources though they contribute significantly to food security, poverty alleviation and ecologically sound management of natural resources. The free-range system is predominant, whilst a few households have adopted a semi-intensive system or intensive system. Under scavenging and semi-intensive systems, chickens are rarely fed more than kitchen leftovers, although occasionally they are supplemented with grains or their by-products. Given the low number of chickens, farmers do not find it economical to construct a separate house for their chickens and in most cases, chickens spend the night time in the human dwelling. Periodic disease outbreaks resulting from inadequate biosecurity measures and poor feeding which consequently leads to low growth rate and low egg production with high mortality rates. Losses are mostly observed in young chicks and growers. The Africa RISING projects introduced technologies to assess simple and low cost-effective technologies of improved supplementation and housing for increased performance of local chickens in rural areas of Babati district. The technologies were: - Improved feed rations (compounded) using vegetable wastes and other locally available grains and by-products as feed components; - Improved poultry housing for full or partial confinement of chicken; The current data reflects the effect of the introduced technologies on growth, egg production and mortality rate of local chickens.

× The objective of this study is to compare two approaches to targeting donated supplementary food to young children. The study compares the effectiveness of the widely-used curative approach where targeting is based on the child's poor nutritional status to a preventive approach which targets children in poor communities solely on the basis of age and provides supplementary food to all children aged 6-23 months. Cost-effectiveness of the two targeting approaches will also be assessed.

× These data are from phone surveys conducted for 1,767 wheat and tomato farmers spread across four districts in the state of Haryana, India. These surveys were conducted by phone during the harvest of the Rabi (winter) crop of 2020 in the context of an ongoing panel survey on agricultural risk management and coincided with the imposition of COVID-19 related lockdown in India. In the case of wheat farmers, the phone surveys were conducted between April and May 2020 and included a series of questions related to the effects of the lockdown on crop losses, harvesting practices, harvest costs, and commercialization of produce after harvest. In the case of tomato, a multi-picking crop, we administered the same set of questions through several follow-up surveys over the course of the harvesting season from June to July 2020, allowing us to explore the dynamic effects of the lockdown restrictions. In addition, for both wheat and tomato producers, the survey asked about borrowing and included a short module on household’s access to food before and after the lockdown, providing insights on lockdown-related borrowing and disruptions in food security. These datasets provide insight into the effects of lockdown on different phases of production and marketing and the linkages between agricultural income losses and risk coping mechanisms. These datasets consist of:(1) one wheat farmer survey; (2) six tomato farmer surveys, including 4 weekly surveys and a first and last survey; and (3) one dataset presenting select data from earlier rounds of data collection.

× This data contains data produced from cross-sectional survey and lab experiment on shelf life of processed legume.

× The questionnaire was administered to randomly selected wholesale and retail traders in 18 governorates (Cairo and Alexandria; Damietta, Dakahlia, Sharkia, Ismailia, Qalubia, Kafr El-Sheikh, Gharbia, Menufia, and Beheira in Lower Egypt; Giza, Fayum, Beni Suef, and Minia in Middle Egypt; Assiut and Sohag in Upper Egypt; and Matruh of the Frontier governorates) from June 1997 through the end of May 1998. Data on the daily purchase and sale price for both wholesale and retail traders were collected for domestic wheat grain, 82% extraction (baladi) flour, domestic 72% extraction (fino) flour, and imported 72% extraction (fino) flour.

× This data study includes disaggregated social accounting matrix (SAM) for the Egyptian economy for year 2010/11. This new SAM builds on the previous SAM 2010/11 built and published by Central Agency for Public Mobilization and Statistics (CAPMAS) with the support of the International Food Policy Research Institute (IFPRI). This SAM was constructed with a special focus on the agriculture sector and on income distribution amongst households. It is composed of 52 activity sectors, 49 commodity sectors, three types of factors of production: labor (unskilled labor, semiskilled labor, and skilled labor), land, and capital; a government account, as well as, enterprises, households, savings and investment, and the rest of the world (ROW). The household sector is divided spatially into urban and rural households, with each disaggregated into 10 deciles according to expenditure. The disaggregated SAM allows for analyzing agricultural issues at the detailed crop level and to better understand the potential impacts of policy changes for both better off and more vulnerable households.

× The 1997 questionnaire was administered to 2,500 households from 20 governorates using a two-stage, stratified selection process from March through May, 1997. Topics include household information, housing characteristics, access to facilities, migration, subsidized food expenses, all food expenses, non-food expenses, health, anthropometrics, maternity history, childcare, wage employment, farming, livestock ownership, non-farm enterprises, credit and savings, remittances and transfers, and other income. In addition to the household level data, data were collected on the overall characteristics of the community/villages containing the surveyed households. The EIHS 1999 survey was conducted on a sub-sample (348 households) of the EIHS 1997. The EIHS 1999 household questionnaire consists of the following sections or topics: household Information, housing characteristics, Income Sources, food expenses, non-food expenses, farming, livestock ownership, non-farm enterprises, non-farming assets, and other income sources, and subsidized food expenses (Tamwin sugar and oil, Balady bread).

× The questionnaire was administered at 524 public and private sector wheat flour mills (91 of the 131 public mills, 25 or the 34 contracted private mills, 408 of the 4462 village mills) in 18 governorates from June to September, 1997, and covered the operations of the mills for the year 1996. Topics include the general characteristics of the mills; wheat purchases; flour production and sales; their marketing, transport and communication networks; operating costs; perceived profitability; assets; investment activities; and opinions on the role of government in regulating and setting policy in the wheat milling sector.

× The questionnaire was administered to 800 geographically weighted, randomly selected wheat producing households located in 80 districts during the third quarter of 1998. Topics include the general characteristics of the households; characteristics of the household members; land use and cropping patterns; crop production and sales; wheat usage; wheat by-product use; wheat storage; wheat and bread consumption; labor use; input usage; ownership of farm assets; credit; ownership of consumer durables; sources of income; sources of information; and farmer perceptions.

× The questionnaire was administered to 1,984 geographically weighted, randomly selected wheat and wheat flour traders located in 141 districts in 18 governorates from August through December, 1996. Topics include the general characteristics of the traders; the structure of their trading business; their trading flows and networks; their transport, communication, storage and cost structures; credit transactions; relative profitability and investment activities; and their opinions on the role of government in regulating trading activities.

× The purpose of this study is to assess if the Enhanced Homestead Food Production Plus (EHFP+) Program implemented by HKI in Mwanza, Tanzania, enhances uptake of Micronutrient Powder (MNP) supplementation in children, helps maintaining reduced anemia levels among children after a blanket provision of MNP, and has an impact on child growth, infant and young child feeding (IYCF) practices, maternal knowledge related to health, nutrition, WASH and malaria prevention, food security and women's empowerment.

× This dataset originated from the CIAT led project entitled ?Enhancing and monitoring impacts of complementary and linked land and water management technologies and approaches at landscape/ watershed levels.? The data were collected at the sites after CIAT implemented runoff plots. The data collected includes biomass yield, grain yield, and soil depth and moisture to measure the effect of soil and water conservation structures on soil moisture and wheat yield.

× This is a value-added secondary dataset, derived from the third (2010/11) and fourth (2016/17) Malawi Integrated Household Survey (MIHS) datasets compiled by the National Statistical Office of Malawi with technical assistance from the World Bank. The dataset combines nutrient composition and retention data with cleaned and improved dietary recall data included in the MIHS survey. This information can be used for various other analyses in which dietary intake or nutrients from specific foods or food groups are of interest.

× As part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR) program. The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Ethiopia, Tanzania, Malawi, Mali, and (potentially) Zambia. 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 the result of the community survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions, delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of IYCF practices in two regions where the IFHP operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

The Ethiopia baseline survey had two broad objectives. The first objective was to gather data on the primary impact indicators of the evaluation, prior to implementation of any A&T interventions, to establish a baseline against which changes would be measured. The second objective was to assess different factors that may influence the outcomes of interest, and thus shape the impact of the primary impact indicators. These factors were determined at five different levels: 1) child, 2) maternal/caregiver, 3) household, 4) community, 5) health care providers, 6) health system. These factors will also provide useful information to interpret the results of the impact evaluation and also signal key issues to pay attention to in the process evaluation.
The Ethiopia baseline survey used five separate questionnaires that aimed to capture elements along the program impact pathways. These tools include 1) a household questionnaire, 2) a staff questionnaire of HEWs, 3) a staff questionnaire of supervisors of HEWs, 4) a VCHP), and 5) a community questionnaire.
The community questionnaire provided information on the following: 1) general characteristics of the cluster: population, number of households’ languages, livelihood, season of food shortage, topography; 2) infrastructure: access to main road (both during dry and rainy season), electricity, access to clean water; 3) distance from the nearest major town, type of transportation used to reach this town; 4) access to the nearest market; 5) migration pattern; 6) social and food assistance, such as presence of productive safety net program, community-based nutrition program, etc.; 7) natural disaster occurring in the area during the three years before the survey; 8) availability and access to health services: health post, government hospital, private clinic, etc.; 9) availability of education facility: junior and high school, college.
The community questionnaire was administered to a group of community members to gather information on the contextual factors related to each community as well as to understand differences in community characteristics across the clusters (enumeration areas (EA)). This information at the community level is critical to control for externalities that could influence the outcome of the program.

× This dataset is the result of the health extension workers (HEW) survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions, delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of IYCF practices in two regions where the IFHP operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The Ethiopia baseline survey had two broad objectives. The first objective was to gather data on the primary impact indicators of the evaluation, prior to implementation of any A&T interventions, to establish a baseline against which changes would be measured. The second objective was to assess different factors that may influence the outcomes of interest, and thus shape the impact of the primary impact indicators. These factors were determined at five different levels: 1) child, 2) maternal/caregiver, 3) household, 4) community, 5) health care providers, 6) health system. These factors will also provide useful information to interpret the results of the impact evaluation and also signal key issues to pay attention to in the process evaluation.
The Ethiopia baseline survey used five separate questionnaires that aimed to capture elements along the program impact pathways. These tools include 1) a household questionnaire, 2) a staff questionnaire of health extension workers (HEW), 3) a staff questionnaire of supervisors of HEWs, 4) a volunteer community health promoters (VCHP), and 5) a community questionnaire.
Three types of health staff questionnaires (HEW, VCHP, and supervisors) were applied to health staff who are closest to the community or work in the community.
In the Health Extension Program (HEP), the key frontline health workers (FHWs) are the health extension workers (HEWs).
The health extension workers (HEW) questionnaire (along with the other two health workers questionnaires (VCHP and supervisors)) aimed at assessing three major issues: 1) frequency of interactions between health staff and caregivers, and avenues for these interactions; 2) content of the discussion between caregivers and health staff, and the time spent on IYCF-related discussions; and 3) knowledge and training received by the health staff on IYCF. In addition, the frontline health worker questionnaires capture the organizational context within which FHWs deliver their interventions. These are captured by inclusion of questions on perceptions related to their workload and their level of satisfaction with their overall job. This is particularly important to capture volunteer workers who receive no salary.

× This dataset is the result of the household survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions, delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of IYCF practices in two regions where the IFHP operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The Ethiopia baseline survey had two broad objectives. The first objective was to gather data on the primary impact indicators of the evaluation, prior to implementation of any A&T interventions, to establish a baseline against which changes would be measured. The second objective was to assess different factors that may influence the outcomes of interest, and thus shape the impact of the primary impact indicators. These factors were determined at five different levels: 1) child, 2) maternal/caregiver, 3) household, 4) community, 5) health care providers, 6) health system. These factors will also provide useful information to interpret the results of the impact evaluation and also signal key issues to pay attention to in the process evaluation.
The Ethiopia baseline survey used five separate questionnaires that aimed to capture elements along the program impact pathways. These tools include 1) a household questionnaire, 2) a staff questionnaire of HEWs, 3) a staff questionnaire of supervisors of HEWs, 4) a VCHP), and 5) a community questionnaire.
The household questionnaire in Ethiopia consisted of 14 different modules covering a wide range of information both for assessing the outcomes of interests as well as factors that influence the uptake and adoption of A&T interventions, such as household food security, socioeconomic status, parental characteristics, maternal knowledge and skills about IYCF, exposure to A&T and other IYCF/nutrition interventions, exposure to media, household gender relationships, and child characteristics, e.g., age, gender, perceptions about size and birth. The questions are largely based on previously validated questions or modules.

× This dataset is the result of the supervisors of health extension workers survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions, delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of IYCF practices in two regions where the IFHP operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The Ethiopia baseline survey had two broad objectives. The first objective was to gather data on the primary impact indicators of the evaluation, prior to implementation of any A&T interventions, to establish a baseline against which changes would be measured. The second objective was to assess different factors that may influence the outcomes of interest, and thus shape the impact of the primary impact indicators. These factors were determined at five different levels: 1) child, 2) maternal/caregiver, 3) household, 4) community, 5) health care providers, 6) health system. These factors will also provide useful information to interpret the results of the impact evaluation and also signal key issues to pay attention to in the process evaluation.
The Ethiopia baseline survey used five separate questionnaires that aimed to capture elements along the program impact pathways. These tools include 1) a household questionnaire, 2) a staff questionnaire of HEWs, 3) a staff questionnaire of supervisors of HEWs, 4) a VCHP), and 5) a community questionnaire.
Three types of health staff questionnaires (HEW, VCHP, and supervisors) applied to health staff who are closest to the community or work in the community. These questionnaires were aimed at assessing three major issues: 1) frequency of interactions between health staff and caregivers, and avenues for these interactions; 2) content of the discussion between caregivers and health staff, and the time spent on IYCF-related discussions; and 3) knowledge and training received by the health staff on IYCF.
The roles of the supervisors are somewhat different from the other two types of health staff. They do not come in direct contact with caregivers, yet they are mainly responsible for providing training to the HEWs and monitoring and supervising the training of volunteers, conducted by the HEWs. The questionnaire for supervisors, therefore, aims at capturing these interactions. Together, combining information from the HEW/VCHP questionnaires with those administered to the supervisors of individual staff in the survey will generate valuable data on the organization context for the FHWs prior to the introduction of A&T interventions in the health system.

× This dataset is the result of the volunteer community health promoters (VCHP) survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions, delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of IYCF practices in two regions where the IFHP operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The Ethiopia baseline survey had two broad objectives. The first objective was to gather data on the primary impact indicators of the evaluation, prior to implementation of any A&T interventions, to establish a baseline against which changes would be measured. The second objective was to assess different factors that may influence the outcomes of interest, and thus shape the impact of the primary impact indicators. These factors were determined at five different levels: 1) child, 2) maternal/caregiver, 3) household, 4) community, 5) health care providers, 6) health system. These factors will also provide useful information to interpret the results of the impact evaluation and also signal key issues to pay attention to in the process evaluation.
The Ethiopia baseline survey used five separate questionnaires that aimed to capture elements along the program impact pathways. These tools include 1) a household questionnaire, 2) a staff questionnaire of HEWs, 3) a staff questionnaire of supervisors of HEWs, 4) a VCHP), and 5) a community questionnaire.
Three types of health staff questionnaires (HEW, VCHP, and supervisors) were applied to health staff who are closest to the community or work in the community.
In the Health Extension Program (HEP), the key frontline health workers (FHWs) are the health extension workers (HEWs). In addition to HEWs, HEP has invested in developing community volunteers known as Volunteer Community Health Promoters (VCHP), who are trained by HEWs. This volunteer position, although not directly a part of the health system, is nevertheless integral to providing essential health care at the community level.
The volunteer community health promoters (VCHP) questionnaire, along with the other two health workers questionnaires (HEW and supervisors), aimed at assessing three major issues: 1) frequency of interactions between health staff and caregivers, and avenues for these interactions; 2) content of the discussion between caregivers and health staff, and the time spent on IYCF-related discussions; and 3) knowledge and training received by the health staff on IYCF. In addition, the frontline health worker questionnaires capture the organizational context within which FHWs deliver their interventions. These are captured by inclusion of questions on perceptions related to their workload and their level of satisfaction with their overall job. This is particularly important to capture volunteer workers who receive no salary.

× This dataset is the result of the community survey that was conducted to gather data at endline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions, delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of IYCF practices in two regions where the IFHP operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The impact evaluation of A&T’s community-based intervention and mass media activities applied an “adequacy design,” which involves pre- and post-intervention assessments without a non-intervention comparison group. A total of 75 enumeration areas (EAs) were randomly selected from woredas (districts) that were part of the IFHP platform for A&T in Tigray and SNNPR. Repeated cross-sectional surveys were conducted at baseline (2010) and endline (2014) in the 75 EAs.
A short questionnaire was administered to community leaders to gather information on the contextual factors at the community level as well as to understand differences in characteristics across the clusters (EA) over time. One questionnaire was completed for each cluster (EA). This information at the community level is critical to control for externalities that could influence the outcome of the program.
The Ethiopia endline community questionnaire provided information on the following: 1) General characteristics of the EA/kebele (population, livelihood, season of food shortage), 2) Infrastructure (access to main road, electricity, access to clean water, 3) Distance from the nearest major town, type of transportation use to reach the town, 4) Access to the nearest market, 5) Migration patterns, 6) Social and food assistance (productive safety net program, community-based nutrition program), 7) Natural disasters occurred in the area during the last year, 8) Availability and access to health and education facilities (health post, government hospital, private clinic, junior and high school, college).

× This dataset is the result of the health extension workers (HEW) survey that was conducted to gather data for the endline part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The impact evaluation of the A&T Ethiopia community-based intervention and mass media activities includes the 2010 baseline and 2014 endline surveys and a smaller-scale 2013 process evaluation survey. Together, these studies generate answers to one of the major learning objectives for the overall initiative: how A&T interventions achieve their impact.
The Ethiopia endline survey applied five separate questionnaires that aimed to capture elements along the program impact pathways. These instruments included a household questionnaire, a community questionnaire and 3 frontline health workers questionnaires, which are:
- health extension workers (HEW) questionnaire

- supervisors of HEWs questionnaire

- volunteer community health promoters questionnaire

The health extension workers (HEW) questionnaire, along with the other two FLW questionnaires, aimed at assessing four major issues: (1) frequency of interactions between FLWs and mothers/caregivers and modes of interactions; (2) content of the interactions between FLWs and mothers/caregivers, especially discussions about IYCF messages and the time spent on IYCF-related discussions; (3) IYCF knowledge and training received by FLWs; and (4) FLWs’ motivation and satisfaction about their jobs. These are captured by questions on perceptions related to workload and level of job satisfaction.

× This dataset is the result of the household survey that was conducted to gather data for the endline part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The impact evaluation of the A&T Ethiopia community-based intervention and mass media activities includes the 2010 baseline and 2014 endline surveys and a smaller-scale 2013 process evaluation survey. Together, these studies generate answers to one of the major learning objectives for the overall initiative: how A&T interventions achieve their impact.
The Ethiopia endline survey applied five separate questionnaires that aimed to capture elements along the program impact pathways. These instruments included a household questionnaire, a community questionnaire and 3 frontline health workers questionnaires.
The Ethiopia endline household survey aimed at detecting changes in three age-specific indicators: (1) rates of exclusive breastfeeding (EBF) among infants 0-5.9 months of age; (2) complementary feeding (CF) practices among children 6-23.9 months of age; and (3) stunting prevalence among children 24-59.9 months of age. The same two-stage cluster sampling method for selecting households applied at baseline was used for the endline survey. After random sampling and selection of households across three sampling frames: children aged 0-5.9 months (n=619), 6-23.9 months (n=875), and 24-59.9 months (n=1475) for the three age groups, an oversample of all additional households with children aged 24-35.9 months (n=727) were included in the endline survey to improve the reliability of stunting estimates.

× This dataset is the result of the supervisors of health extension workers survey that was conducted to gather data for the endline part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The impact evaluation of the A&T Ethiopia community-based intervention and mass media activities includes the 2010 baseline and 2014 endline surveys and a smaller-scale 2013 process evaluation survey. Together, these studies generate answers to one of the major learning objectives for the overall initiative: how A&T interventions achieve their impact.
The Ethiopia endline survey applied five separate questionnaires that aimed to capture elements along the program impact pathways. These instruments included a household questionnaire, a community questionnaire and 3 frontline health workers questionnaires, which are:
- health extension workers (HEW) questionnaire

- supervisors of HEWs questionnaire

- volunteer community health promoters questionnaire

The supervisors of HEWs questionnaire, along with the other two FLW questionnaires, aimed at assessing four major issues: (1) frequency of interactions between FLWs and mothers/caregivers and modes of interactions; (2) content of the interactions between FLWs and mothers/caregivers, especially discussions about IYCF messages and the time spent on IYCF-related discussions; (3) IYCF knowledge and training received by FLWs; and (4) FLWs’ motivation and satisfaction about their jobs. These are captured by questions on perceptions related to workload and level of job satisfaction.
The roles of supervisors are somewhat different from the other two types of FLWs. They do not come in direct contact with caregivers, yet they are mainly responsible for providing training and supervision to HEWs, and monitoring and supervising the training of volunteers conducted by HEWs. The questionnaires for supervisors, therefore, aim at capturing these interactions. Together, combining information from the HEW and HDA/WDA questionnaires with those administered to supervisors will generate valuable data about the organizational context for FLWs.

× This dataset is the result of the volunteer community health promoters (VCHP) survey that was conducted to gather data for the endline part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The impact evaluation of the A&T Ethiopia community-based intervention and mass media activities includes the 2010 baseline and 2014 endline surveys and a smaller-scale 2013 process evaluation survey. Together, these studies generate answers to one of the major learning objectives for the overall initiative: how A&T interventions achieve their impact.
The Ethiopia endline survey applied five separate questionnaires that aimed to capture elements along the program impact pathways. These instruments included a household questionnaire, a community questionnaire and 3 frontline health workers questionnaires, which are:
- health extension workers (HEW) questionnaire

- supervisors of HEWs questionnaire

- volunteer community health promoters questionnaire.

Volunteers include all kind of volunteers working on promoting health and nutrition such as volunteer community health promoter (VCHP), health development agent (HAD), development agent (DA), health animator etc.
The volunteer community health promoters (VCHP) questionnaire, along with the other two FLW questionnaires, aimed at assessing four major issues: (1) frequency of interactions between FLWs and mothers/caregivers and modes of interactions; (2) content of the interactions between FLWs and mothers/caregivers, especially discussions about IYCF messages and the time spent on IYCF-related discussions; (3) IYCF knowledge and training received by FLWs; and (4) FLWs’ motivation and satisfaction about their jobs. These are captured by questions on perceptions related to workload and level of job satisfaction. This is particularly important to capture among volunteers who receive no salary.

× This dataset is the result of the health extension workers survey that was conducted to gather data for the process evaluation part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. In Ethiopia, the studies that have been conducted as part of the process evaluation include: 1) a case study in 2011 to explore the extent of the training rollout among frontline health workers (FHWs) and to assess FHW and household exposure to interpersonal communication (IPC) tools developed by A&T, 2) a qualitative study in 2012 that included in-depth interviews with health extension workers (HEWs), HEW supervisors, and volunteers and shorter interviews with mothers and fathers to understand modalities of service delivery under IFHP and other A&T platforms, and 3) a quantitative survey in 2013 among FHWs and households to assess different aspects of service delivery and exposure to A&T community based program interventions.
Three types of FHW questionnaires (HEW, VCHP, and supervisors) applied to health staff who are closest to the community or work in the community.
The health extension workers (HEW) questionnaire, along with the other two FHW questionnaires, were aimed at assessing four major issues: 1) FHW’s exposure to training and IPC tools provided by the A&T program, 2) FHW’s exposure to the A&T multi-media components (radio and television messages), 3) FHW’s knowledge and understanding of IYCF and nutrition, 4) the FHW work environment related to IYCF service delivery (motivation, supportive supervision, time commitments to different tasks, and the ability to integrate sustained IYCF counseling into daily routines).

× This dataset is the result of the household survey that was conducted to gather data for the process evaluation part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. In Ethiopia, the studies that have been conducted as part of the process evaluation include: 1) a case study in 2011 to explore the extent of the training rollout among frontline health workers (FHWs) and to assess FHW and household exposure to interpersonal communication (IPC) tools developed by A&T, 2) a qualitative study in 2012 that included in-depth interviews with health extension workers (HEWs), HEW supervisors, and volunteers and shorter interviews with mothers and fathers to understand modalities of service delivery under IFHP and other A&T platforms, and 3) a quantitative survey in 2013 among FHWs and households to assess different aspects of service delivery and exposure to A&T community based program interventions.
The Ethiopia process evaluation surveys of frontline health workers and households had two broad objectives. The first objective was to assess and understand the FHW work environment related to IYCF service delivery, in order to better answer how A&T interventions achieve impact. The second objective was to assess households’ exposure to the A&T program components/activities, as well as to compare IYCF knowledge and practices to the baseline survey in 2010 in order to get an idea of progress toward impact.
The Ethiopia process evaluation survey used four separate questionnaires that aimed to capture elements along the program impact pathways. These tools include 1) a household questionnaire, 2) a staff questionnaire of HEWs, 3) a staff questionnaire of supervisors of HEWs, and 4) a volunteer community health promoters (VCHP) questionnaire.
The main objectives of the Ethiopia household survey are to assess: 1) Exposure of the mothers/caregivers of children less than two years of age to key IYCF messages promoted by A&T, 2) Source of messages (FHW, mass media, community), 3) Sources of support for IYCF related issues, 4) Frequency of contacts with FHWs, 5) Knowledge and understanding of key IYCF messages promoted by A&T, and 6) Adoption of selected IYCF practices promoted by A&T and factors that facilitate the message.

× This dataset is the result of the supervisors of health extension workers survey that was conducted to gather data for the process evaluation part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.

The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. In Ethiopia, the studies that have been conducted as part of the process evaluation include: 1) a case study in 2011 to explore the extent of the training rollout among frontline health workers (FHWs) and to assess FHW and household exposure to interpersonal communication (IPC) tools developed by A&T, 2) a qualitative study in 2012 that included in-depth interviews with health extension workers (HEWs), HEW supervisors, and volunteers and shorter interviews with mothers and fathers to understand modalities of service delivery under IFHP and other A&T platforms, and 3) a quantitative survey in 2013 among FHWs and households to assess different aspects of service delivery and exposure to A&T community based program interventions.

The Ethiopia process evaluation surveys of frontline health workers and households had two broad objectives. The first objective was to assess and understand the FHW work environment related to IYCF service delivery, in order to better answer how A&T interventions achieve impact. The second objective was to assess households’ exposure to the A&T program components/activities, as well as to compare IYCF knowledge and practices to the baseline survey in 2010 in order to get an idea of progress toward impact.
Three types of FHW questionnaires (HEW, VCHP, and supervisors) applied to health staff who are closest to the community or work in the community. These questionnaires were aimed at assessing four major issues: 1) FHW’s exposure to training and IPC tools provided by the A&T program, 2) FHW’s exposure to the A&T multi-media components (radio and television messages), 3) FHW’s knowledge and understanding of IYCF and nutrition, 4) the FHW work environment related to IYCF service delivery (motivation, supportive supervision, time commitments to different tasks, and the ability to integrate sustained IYCF counseling into daily routines).
The roles of the supervisors are somewhat different from the other two types of health staff. They do not come in direct contact with caregivers, yet they are mainly responsible for providing training to the HEWs and monitoring and supervising the training of volunteers, conducted by the HEWs. The questionnaire for supervisors, therefore, aims at capturing these interactions.

× This dataset is the result of the volunteer community health promoters (VCHP) survey that was conducted to gather data for the process evaluation part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia. The broad objective of the impact evaluation in Ethiopia is to measure the impact of A&T’s community-based interventions (CBI), delivered through the government's health extension program (HEP) platform, in the reduction of stunting and improvement of infant and young child feeding (IYCF) practices in two regions where the integrated family health program (IFHP) operates, namely Tigray and SNNPR (Southern Nations, Nationalities, and People’s Region).
A&T is a six-year initiative funded by the Bill & Melinda Gates Foundation to facilitate change for improved infant and young child feeding (IYCF) practices at scale in Bangladesh, Ethiopia, and Viet Nam. The goal of A&T is to reduce avoidable death and disability due to suboptimal IYCF in the developing world by increasing exclusive breastfeeding (EBF) until 6 months of age and reducing stunting of children 0-24 months of age.
The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. In Ethiopia, the studies that have been conducted as part of the process evaluation include: 1) a case study in 2011 to explore the extent of the training rollout among frontline health workers (FHWs) and to assess FHW and household exposure to interpersonal communication (IPC) tools developed by A&T, 2) a qualitative study in 2012 that included in-depth interviews with health extension workers (HEWs), HEW supervisors, and volunteers and shorter interviews with mothers and fathers to understand modalities of service delivery under IFHP and other A&T platforms, and 3) a quantitative survey in 2013 among FHWs and households to assess different aspects of service delivery and exposure to A&T community based program interventions.
The Ethiopia process evaluation surveys of frontline health workers and households had two broad objectives. The first objective was to assess and understand the FHW work environment related to IYCF service delivery, in order to better answer how A&T interventions achieve impact. The second objective was to assess households’ exposure to the A&T program components/activities, as well as to compare IYCF knowledge and practices to the baseline survey in 2010 in order to get an idea of progress toward impact.
Three types of FHW questionnaires (HEW, VCHP, and supervisors) applied to health staff who are closest to the community or work in the community.
Volunteers include all kind of volunteers working on promoting health and nutrition such as volunteer community health promoter (VCHP), health development agent (HAD), development agent (DA), health animator etc.
The volunteer community health promoters (VCHP) questionnaire, along with the other two FHW questionnaires, were aimed at assessing four major issues: 1) FHW’s exposure to training and IPC tools provided by the A&T program, 2) FHW’s exposure to the A&T multi-media components (radio and television messages), 3) FHW’s knowledge and understanding of IYCF and nutrition, 4) the FHW work environment related to IYCF service delivery (motivation, supportive supervision, time commitments to different tasks, and the ability to integrate sustained IYCF counseling into daily routines).

× The household survey was carried out in the Nile River Basin in Ethiopia. The household sampling frame in Ethiopia was developed to ensure representation for the Nile River Basin at the woreda (district) level regarding level of rainfall patterns in terms of both annual total and variation; the four classes of traditionally defined agro-ecological zones (AEZs) found in the basin; vulnerability of food production systems (through the proxy of frequency of food aid in the past ten years); and irrigation prevalence. All data used for the sample frame is from the Atlas of the Ethiopian Rural Economy (Benson et al., 2006).; Each woreda was classified based on : agroecological zone (Kolla, Weynadega, Dega, and Bereha), the percent of cultivated land under irrigation (no data, 0-2%, 2-4%, 4-8%, and 8% or greater), average annual rainfall (0-854mm, 854-1133mm, 1133-1413mm, 1413-1692mm, 1692mm or greater), rainfall variability (coefficient of variation for annual rainfall), and vulnerability (number of years of food aid received in the past 10 years). ;Twenty woredas were selected such that across each of the above dimensions the proportion falling into each class for the sample matched as closely as possible the proportions for the entire Ethiopian Nile basin. Peasant associations (administrative units lower than districts) were also purposely selected to include households that irrigate their farms. One peasant association was selected from every woreda for a total of 20 peasant associations. Random sampling was used in selecting 50 households from each peasant administration within the 20 woredas. Thus, the final dataset contains 1,000 observations from 20 woredas in 5 regional states in Ethiopia (Tigray, Amhara, Oromiya, Benishangul Gumuz, and Southern Nations Nationalities and Peoples (SNNP)).

× Ethiopia producer teff survey is the study of the producers in the teff value chain in Ethiopia. These data allow quantifying the extent of food loss at the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× The productive safety net program (PSNP) community survey collected information from focus groups in 8 communities where PSNP is active. It was administered simultaneously to a panel of prominent members of the community. The purpose of the survey was to provide researchers with the data necessary to construct Local Economy-wide Impact Evaluation (LEWIE) models used for evaluation of the PSNP program.

In particular, the survey inquired about PSNP interventions in the surveyed locations, including the type of work conducted (road building, school building, tree planting, etc.), how it affected the communities access to amenities and services (schools, markets, clinics) or agricultural productivity. In addition, the community survey will be used to determine the structure of business activity in the community, as well as the dynamics of local markets and physical connections to regional and national markets.

× The productive safety net program (PSNP) community survey collected information from focus groups in 8 communities where PSNP is active. It was administered simultaneously to a panel of prominent members of the community. The purpose of the survey was to provide researchers with the data necessary to construct Local Economy-wide Impact Evaluation (LEWIE) models used for evaluation of the PSNP program.

In particular, the survey inquired about PSNP interventions in the surveyed locations, including the type of work conducted (road building, school building, tree planting, etc.), how it affected the communities access to amenities and services (schools, markets, clinics) or agricultural productivity. In addition, the community survey will be used to determine the structure of business activity in the community, as well as the dynamics of local markets and physical connections to regional and national markets.

× The PSNP business survey collected data from select businesses in 8 communities studies where PSNP is active. The purpose of the survey was to provide researchers with the data necessary to construct Local Economy-wide Impact Evaluation (LEWIE) models used for evaluation of the PSNP program.

In particular, the survey collected data about hired labor necessary to accurately model production functions in LEWIE, as well as input and output markets.

× The Ethiopia Social Accounting Matrix (SAM), 2005-06 provides a coherent and detailed database on production, income, consumption, investment, external trade and other flows in the economy. The SAM distinguishes 42 production activities, 61 commodity groups, 5 primary factors, 2 household groups, 17 tax instruments as well as aggregate accounts for trade margins, transport margins, government, investment, and the rest of the world.

× The main objective of the project was to assess policy, institutional and technological strategies to promote more productive and sustainable land management in the environmentally degraded highlands of Ethiopia. Primary cross-sectional data was collected at community, household and plot levels in the highlands of Tigray beginning in late 1998, and the highlands of Amhara beginning in late 1999, covering 500 and 434 households, respectively. The household survey includes information on household endowments, land, labor, education, livestock and other assets; access to factors of production and credit, income sources, and livelihood strategies. The plot level survey contains information on plot level factors including plot quality characteristics (soil type, slope, size), land tenure, land investments, land management practices, inputs used (fertilizers, seeds, herbicides, insecticides), yields, and erosion indicators. The community survey covers topics on market access, population, irrigation programs and organizations; local prices of crops, livestock and livestock products; community natural resource management, land use and land tenure.

× The Ethiopia Rural Household Survey (ERHS) is a unique longitudinal household data set covering households in a number of villages in rural Ethiopia. Data collection started in 1989, when a team visited 6 farming villages in Central and Southern Ethiopia. In 1989, IFPRI conducted a survey in seven Peasant Associations located in the regions Amhara, Oromiya and the Southern Ethiopian People’s Association (SNNPR). Civil conflict prevented survey work from being undertaken in Tigray. Under extremely difficult field conditions, household data were collected in order to study the response of households to food crises. The study collected consumption, asset and income data on about 450 households. In 1994, the survey was expanded to cover 15 villages across the country. An additional round was conducted in late 1994, with further rounds in 1995, 1997, 1999, 2004, and 2009. In addition, nine new villages were selected giving a sample of 1477 households. The nine additional communities were selected to account for the diversity in the farming systems in the country, including the grain-plough areas of the Northern and Central highlands, the enset-growing areas and the sorghum-hoe areas. Topics addressed in the survey include household characteristics, agriculture and livestock information, food consumption, health, women’s activities, as well as community level data on electricity and water, sewage and toilet facilities, health services, education, NGO activity, migration, wages, and production and marketing.

× This dataset is a supplemental data to Feed the Future I (FtF) Ethiopia end-line Survey 2018. The purpose of the survey was to collect data on details of land access and use, women land rights, second-level land certification process, land related legal knowledge, and land rental market participation, which were not covered in FtF end-line Survey 2018. The survey covered a total of 1,984 rural households in four regions of Ethiopia that were interviewed during FtF end-line 2018.
A structured household questionnaire was used to collect household, plot, and individual level data. Questionnaire modules related with land related legal knowledge and advice, and land rental market participation were administered separately for the head and spouse. Hence, a detail gender dis-aggregated data enables a closer analysis of gendered aspects of the impact of the second-level land certification program not only at household level (inter-household dimensions), but also within a household (intra-household aspects).

× This dataset is a follow-up for households who were visited during Feed the Future I (FtF) Ethiopia end-line Survey 2018 and who participated in land rental market in Tigray and Amhara regions. Participation in the land rental market is defined as if a household rented in, sharecropped in, rented out or sharecropped out at least one parcel. The land rental market partners of 730 FtF end-line households (with 1551 parcels) were visited in land rental market partners survey in 2019. The partners survey covered 739 households and 2,745 parcels. Even if the partners survey is conducted few months later after FtF end-line survey, it follows the same time period and data collection instrument which is consistent with FtF end-line survey.
A structured household questionnaire was used to collect household, plot, and individual level data. The questionnaire modules cover household characteristics, land use (crop production), input use, labor, livestock ownership, shocks, off-fam employment, access to credit, ownership of productive equipment’s and remittances. This dataset, combined with the main FtF end-line 2018 data, enables to assess land rental market interactions between landlords and tenants.

× In the Sudanian region of Mali where sorghum is an important crop, inorganic fertilizer use is limited due to the high cost and limited availability, and limited soil moisture availability. However, fertilizers from livestock and poultry manure are largely available. This study evaluated different fertilizer response scenarios which will combine both organic and inorganic sources. Our target is to increase productivity (grain and biomass). Biomass so produced could further be used as a source of feed for the livestock and vice-versa. Furthermore, data collected from different agro-ecologies will be used to set up crop simulation models with climate model output of the Coupled Model Inter-comparison Project Phase 5 (CMIP5) to assess climate change impacts on sorghum yields and to evaluate the marginal cost-benefit of different fertility scenarios and varieties as adaptation options to climate change.

× The Africa RISING program adopts the mother-baby trial approach to test, validate and disseminate research results. Under this approach farmers have been exposed to the technologies tested and validated on-farm (mother trials). Thereafter, farmers are given the opportunity to experiment technology they chose on their farms (baby trials) after a training. In this context, ICRAF and partners developed fertilizer recommendations (30 kg P/ha and 60 kg N/ha) for maize in semi-arid Tanzania during the 2013 and 2014 growing seasons. Farmers were involved to test these rates widely in their fields (as baby plots) when integrated with improve maize varieties and different types of fertilizers. Fertilizer tested were Minjingu and Yara Mila Cereals fertilizers and maize varieties were Staha, Kilima, SEED Co and a local variety known as Gunzi Jekundu. The work started with training farmers on promising fertilizer technologies and good agronomic practices (GAP) during the beginning of the 2015 (293 farmers) and 2016 seasons (682 farmers). About 605 farmers (55% Male and 45% Female) who attended training in 2016 established baby trials to validate fertilizer-maize variety technologies. Each baby farmers had a max of four plots assessing performance of improved maize variety and local variety with and without Minjingu (Nafaka Plus for basal application at planting and Minjingu top dressing) or Yara Mila Cereal fertilizers. Yara Mila Cereal was used for a basal and top dressing applications as per guideline printed in the fertilizer bag and from the company?s agronomist.This data study contains data produced from these trials. Project title: Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania to Increase Farm Productivity and Improve Farming Natural Resource Base. Project abstract: The aim of the Africa RISING project in Kongwa and Kiteto Districts, Tanzania is to provide a scientific basis for sustainably intensifying agricultural production in semi-arid areas of central Tanzania. The project activities are falls under 4 thematic areas that address three critical elements of sustainable intensification (SI), i.e. genetic, ecological and socio-economic intensification technologies. The scope of activities being implemented include: packaging of new legume and cereal varieties with over 120% yield advantage, packaging and validation of integrated productivity enhancing technologies for cereals, legumes, legume trees and soil health technologies, food safety primarily to reduce aflatoxin contamination and integration of livestock into the cropping systems. The innovation platform is used to set R4D priority in the action sites. The project team is comprised of national partners (e.g. ARI-Hombolo, District Agricultural Officers, SUA and UDOM) and CG Partners (CIMMYT and ICRAF) under the leadership of ICRISAT. Project website: http://africa-rising.net http://africa-rising.net/where-we-work/west-africa/

× In this study, 484 shallow wells were geo-referenced, mapped and studied in two districts, Bougouni and Koutiala, in southern Mali to understand the dynamics of groundwater recharge and relationship with rainfall in different seasons.

× To evaluate the impacts of the rural extension policy (PNATER), five territories were selected in three different Brazilian states, including Alto Jequitinhonha (Minas Gerais State), Cantuquiriguaçu (Paraná State), Pontal do Paranapanema (São Paulo State), São Paulo’s Southwestern (São Paulo State), and Vale do Ribeira (Paraná State). An indicator system was elaborated to collect and analyze data from farmers and extension agents in each territory. 12 indicators were proposed to accomplish the desired evaluation. These indicators express the meaningful aspects of the extension reform policy document’s values, principles, and objectives.

Data collection instruments were composed of questionnaires focusing on objective questions, allowing only closed answers to identify the interviewee’s perception of his or her reality. The possibilities for responses were elaborated on a five-point Likert scale—from the least to the greatest—asking respondents to indicate how much they agree or disagree, approve or disapprove, or believe to be true or false. The questionnaire for family farmers was composed of 56 questions, encompassing different indicators, among which three were specific for black rural and indigenous communities. The researchers also added questions from the Brazilian Food Insecurity Scale.

In total researchers conducted 1,000 interviews with farmers and 87 interviews with extensionists (in some territories the goal of 20 interviews with the extensionists in each territory was not achieved due to the difficulty in contacting them or their unavailability in the study period) in the five territories between August 2014 to January 2015.

× Evaluation of existing and potential feed resources in the study sites using Feed Assessment Tool (FEAST) developed by ILRI. The assessment was conducted in three communities in Koutiala cercle (Sirakel?, Zanzoni and Namposs?la) and three communities in Bougouni/Yanfolila cercles (Di?ba, Sibirila and Yorobougoula) in October and November, 2013. In each community, a group discussion involving about 20 key informants was conducted addressing the constraints and opportunities to mixed crop-livestock production systems and livelihood options. In addition to the group discussion, twelve out of the key informants were interviewed for quantitative information on available feed resources ? sources, seasonality, quality, and purchase/sale of feeds. Samples of common feeds mentioned by the interviewees were collected for laboratory analysis. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/feed_evaluation

× This dataset is a result of household surveys conducted in two major cotton producing districts, Lira and Kasese, in Uganda. The information were mainly collected on household characteristics, cotton production and current practices. The cotton producing villages were identified with the help of local extension agents. Out of these cotton produ cing villages, three villages in Lira and seven in Kasese were selected. A total of 150 household heads were interviewed, 30 in Lira and 120 in Kasese. These households were selected randomly from a list of producers provided by a ginneries operating in each district. The number of households selected from a village followed a qualitative evaluation by local extension agents of cotton produced in each village. The information was primarily collected for the 2007 growing season. Some additional information was also collected for 2006 growing season.

× The data in this study were collected to assess preferences with respect to drip irrigation systems, which was promoted under Punjab Irrigated-Agriculture Productivity Improvement Project (PIPIP) in Pakistan. The survey was conducted among 475 households across four districts (Attok, Chakwal, Layyah, and Sahiwal) in the Punjab province of Pakistan. These districts capture contrasting agroecological zones as well as contrasting agricultural systems. The survey was designed primarily to capture differential preferences along a gradient of drip irrigation experience and exposure. In addition, the survey collects household information such as education, farm holdings, cropping systems, and patterns.

× Groundwater is a common pool resource which experiences depletion in many places around the world. The increased use of irrigation and water demanding cash crops stimulate this development. This project aims to test whether experimental games can only be used to measure collective action but also to strengthen collective action for managing shared natural resources (groundwater) in Andhra Pradesh, India. Two NGOs (Foundation for Ecological Security and Jana Jagriti) ran the games in communities in which they were working to improve watershed and water management. The game looks at how people make decisions in what crops to plant. Games were played with groups of five men or five women, followed by a community debriefing. Two different payment methods (flat-fee for a community fund or individual payments) were used to test whether the payment method affects behavior and the way people play the games.

Behavioral and attitudinal variables regarding water use and mechanisms for regulating and responding to changes and uncertainty in social and ecological conditions were also monitored at the household and community levels. Treatment groups were villages in which field experiments with collective action games were implemented. Control cases were comparable communities where no such experiments were conducted but the same NGOs are working to strengthen collective groundwater management.

Follow up game sessions and surveys were conducted two years after the initial sessions to explore any lasting effect, if any, of such intervention. The game protocol was slightly modified in the second wave to incorporate domestic water consumption in the game scenario. Overall, this project analyses whether the experimental exercise changes participants’ mental models about the interactions between resource dynamics, group goals, and private interests.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for exploration such scenarios.

At IMPACT's core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research centers through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset is an extended set of results from IMPACT version 3.2.1 generated for the analysis originally presented in Sulser et al (2015) and covers “baseline scenarios” of different socioeconomic assumptions, climate change, and no climate change from 2010 to 2050.

× Small land holdings are among the main constraints for smallholders to produce enough food and feed to meet household demands. During the main cropping season, when all the land is covered by stable crops, feed is critically in short supply. Africa RISING?s diagnostic surveys showed that during such times weeds growing with faba bean crop are used as important feed resource by farmers in Ethiopia. Farmers leave the weed to grow with the faba bean until a certain stage, which is against the recommended agronomic practice through the extension system. A series of experiments were conducted to explore the rationale behind farmers preference, involving three faba bean production practices: 1) the traditional management practice (where weeds are used as forage), 2) improved practice (where weeds are frequently removed from faba bean plots) and 3) intercropping faba bean with fodder oat. The dataset contains the grain yield, straw yield, forage yield and gross income from the different practices and faba bean varieties in the Lemo district of Africa RISING site.

× This is the baseline dataset for the Farm and Family Balance Study. Sample consists of married sugarcane farmers associated with a large sugar company near Jinja, Uganda. All eligible farmers who agreed to participate are included. Both husbands and wives are interviewed. Survey includes questions regarding demographics, sugar production, other agricultural production, time use and employment, and empowerment.

× The survey, Farmer's Preferences for Abiotic Stress Tolerance in Hybrid versus Traditional Rice: Evidence from Bihar, India (2012-13), was designed to assess farmer's willingness to pay for drought-tolerant paddy in Bihar, India. The survey includes carefully designed discrete choice experiments and a risk experiment to collect information on demand for drought tolerance characteristics in rice and the role of both the public and the private sector in the research and development of the same. The data were collected from 576 rice-producing households in rural Bihar, as a part of a study under the Cereal Systems Initiative for South Asia (CSISA).CSISA's vision is to decrease hunger and malnutrition and to increase food and income security for resource-poor farm households in Bangladesh, India, and Nepal through the accelerated development and inclusive deployment of new and improved crop varieties, sustainable technologies and management practices, and improved policies.

× The objective of this study is to test the feasibility and effectiveness of distributing micronutrient sprinkles to 6-20 month old children participating in an integrated maternal and child health and nutrition program in rural Haiti. The micronutrient sprinkles have been formulated to prevent or treat anemia in 6-23 month old children. Effectiveness in reducing the prevalence of anemia will be assessed.

× The Feed the Future Phase One Zone of Influence (ZOI) Endline Survey was implemented by IFPRI through Bangladesh Integrated Household Survey (BIHS) 2018-2019. Data collection in the Feed the Future ZOI stratum took place in 20 districts in southern Bangladesh, which is divided between three divisions—that is, Barishal, Khulna, and part of the Dhaka Division—from November 2018 to February 2019. The endline survey followed the same households as the baseline, making the baseline Feed the Future ZOI Survey data directly comparable to the endline Feed the Future ZOI Survey data. Therefore, the panel format of the dataset means the economic progress of these households between 2011/2012 and 2018/2019 can be assessed. The total number of households included in Feed the Future ZOI is 2064 and is representative of Feed the Future ZOI.

× Most farmers and extension officers in Tanzania use blanket fertilizer recommendations, which can be ineffective in sustaining crops productions. The most recent fertilizer recommendation report (Marandu et al., 2014) do not have guidelines for semiarid zones. Besides, developing agronomic rates (Mkoma, 2015), our work in 2016 seasons addressed the aspects of use efficiency and costs of fertilizer by refining the recommended rates into micro-dose rate. Fertilizer micro dosing involves application of small doses of fertilizer 5-6 kg P/ha (2-4g/hill as NPK) at sowing or shortly after germination to improve uptake or use efficiency and crops yields. The technique also holds high potential to reduce inputs costs because the amount of fertilizer is reduced substantially compared to recommended rate. Fertilizer micro-dosing trials were established in Mlali, Molet and Njoro villages during the 2016 growing seasons using the randomized complete block design (RCBD) with the three replications. Treatments include N (0, 15, 30 and 60 kg/ha) and P (0, 7.5, 15, and 30kg P/ha) in a factorial combination and the 16 treatment combinations were allocated randomly to each block. The test crop was maize, variety Staha. Maize was planted at 90 cm x 60 cm in Mlali and Molet villages and at a spacing of 75 cm x 60 cm in Njoro village. The plot size in both sites was 5 m x 6 m. This study includes data generated from this study trial. Project title: Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania to Increase Farm Productivity and Improve Farming Natural Resource Base. Project abstract: The aim of the Africa RISING project in Kongwa and Kiteto Districts, Tanzania is to provide a scientific basis for sustainably intensifying agricultural production in semi-arid areas of central Tanzania. The project activities are falls under 4 thematic areas that address three critical elements of sustainable intensification (SI), i.e. genetic, ecological and socio-economic intensification technologies. The scope of activities being implemented include: packaging of new legume and cereal varieties with over 120% yield advantage, packaging and validation of integrated productivity enhancing technologies for cereals, legumes, legume trees and soil health technologies, food safety primarily to reduce aflatoxin contamination and integration of livestock into the cropping systems. The innovation platform is used to set R4D priority in the action sites. The project team is comprised of national partners (e.g. ARI-Hombolo, District Agricultural Officers, SUA and UDOM) and CG Partners (CIMMYT and ICRAF) under the leadership of ICRISAT. Project website: http://africa-rising.net http://africa-rising.net/where-we-work/west-africa/

× The Financial and Health Diaries capture high-detail high-frequency data on how low-income households in developing countries manage money and make spending choices around healthcare. The data provide detailed weekly information on individuals’ financial activities, health events and interactions with healthcare providers.

× Yield growth rate (%) of major crop commodities in CGIAR CRP II priority countries were computed using the FAOSTAT-retrieved national crop production statistics data for five most recent years (2009-2013 in most countries; where available, 2014 data was also included).

× The project aimed at testing the hypothesis that the application of sustainable intensification technologies (cereal-legume-vegetable-livestock integrated systems) by smallholder households in North Ghana changes the level of inter and intra-specific crop diversity managed on-farm at household level. The project included two main activities: (1) analyses of the baseline socioeconomic survey data gathered by IFPRI and IITA from a diversity perspective; and (2) implementation and analysis of a series of focus group discussions in 12 communities to assess the overall diversity of plant species that households manage and derive benefits from. Study title: Focus Group Discussions-Agrobiodiversity Assessment Study description: A series of FGDs in 12 communities were carried out during the earlier part of 2016. The objective of FGDs on agricultural biodiversity was to elicit the local knowledge about the agricultural and useful wild biodiversity present in the study areas in order to generate: (a) an ordered inventory (list) of all useful plants used by local communities for human food, animal feed, medicine, fuel, etc. and their local names; and (b) an inventory of species and other products bought and sold in markets that people attend. The aim was to have a subjective assessment of the overall diversity of species households manage and derive benefits from, how important each species is and how it contributes to the household?s food and income, as well as how it is used. Project website: http://africa-rising.net

× The postharvest management research of Africa RISING focuses on testing innovative postharvest handling, processing and storage technologies to reduce postharvest loss and increase the quality and market value of maize. The goal is to improve the income and nutritional status of smallholder farmers. Project title: Postharvest Management Research of Africa RISING in Tanzania. Project abstract: The project focuses on post-harvest research including fortification practices and awareness. Project website: http://africa-rising.net/

× The motivation to measure food policy research capacity stems from a pressing need to understand what a country's primary constraints are in undertaking food policy research and using it effectively in the policy process. With such understanding, capacity-development interventions can become easier to design and capacity building programs can be more effective. Food policy research is defined here as any socioeconomic or policy-related research in the food, agriculture, and natural-resource sectors. In this database, two country-level food policy research capacity indicators are presented. The first indicator is the number of full-time equivalent analysts or researchers with PhDs or their equivalent analysts or researchers with PhDs or their equivalent per one million rural citizens. This number is indicative of a country's investment in policy research activities. Although financial and physical resources are not explicitly included in this measure, it is assumed that the number of researchers acts as a proxy for these other food policy research inputs. This indicator includes staff at government ministries, higher education institutes, and research organizations that undertake food policy research as defined above. Staff members with a master's degree are valued at half of a PhD, and those with a bachelor's degree are valued at a quarter of a PhD. The number of staff is also scaled by the proportion of time spent on food policy research which is dependent on the type of institution.

The second indicator is the number of food policy relevant journal articles published internationally within the last five years per full-time PhD-equivalent researcher. This input-output ratio measure is indicative of the efficiency of the policy research environment. The number of publications was determined from searches in the EconLit and Web of Science databases for journal articles related to food policy and authored by experts who were counted in the assessment of the first indicator. Earlier attempts to quantify and collect comparable data on other policy research outputs, such as policy briefs, interactions with government ministries, or conference contributions presented numerous challenges. For this reason, and because international publications guarantee a minimum and comparable level of quality, this indicator was chosen.

× Food policy research plays a crucial role in guiding agricultural transformation in developing countries. To achieve food security goals, countries need to strengthen their capacity to conduct food policy research. Strong local policy research institutions help shaping evidence-based policymaking. Measuring national capacity for food policy research is important for identifying capacity gaps in food policy research and guiding the allocation of resources to fill those gaps. “Food policy research capacity” is defined as the ability to do socioeconomic or policy-related research in the areas of food, agriculture, nutrition, or natural resources. To measure this capacity, the International Food Policy Research Institute (IFPRI) has developed a set of indicators for the quantity and quality of policy research at the country level.
IFPRI created the Food Policy Research Capacity Indicators (FPRCI) database in 2010 and has since continued to expand and refine it. Data are currently collected for 33 countries; data for Myanmar was added in 2017. A consistent methodology is followed to enable a comparison of values across time and countries. The database was most recently updated with numbers for 2019.
Analysts/researchers counts the professionals employed at local organizations whose work involves food policy research or analysis. To introduce some uniformity, IFPRI also presents a modified quantification of this headcount: full-time equivalent analysts/researchers with PhD. To obtain an indicator of per capita food policy research capacity, this research capacity is then divided by the country’s rural population (full-time equivalent researchers per million rural residents). This helps to illustrate the impact of local food policy research in a country. This indicator was last updated in 2015.
The quality of a country’s food policy research capacity is estimated by tallying the number of relevant international publications in peer-reviewed journals over a five-year period. IFPRI views this as a reflection of the local enabling intellectual environment for food policy research. This indicator allows for comparison across countries, as it ensures an internationally accepted standard of quality for publications. The final indicator is derived by dividing the number of international publications by the number of full-time equivalent researchers with a PhD, providing a measure of productivity.

× Food policy research plays a crucial role in guiding the agricultural development of countries. To achieve food security goals, countries need to strengthen their capacity to conduct food policy research. Strong local policy research institutions help in shaping an evidence-based policy-making process. Measuring national capacity for food policy research is important for identifying capacity gaps in food policy research and guiding allocation of resources to fill those gaps. Food policy research capacity is defined as any socioeconomic or policy-related research capacity in the area of food, agriculture, or natural resources. To measure this capacity, the International Food Policy Research Institute (IFPRI) developed a set of indicators of the quantity and quality of policy research at the country level.

IFPRI created a database for food policy research capacity in 2010, and has continued to expand and refine it. The data presented are currently collected for 33 countries; data for Myanmar were added in 2017. A consistent methodology is followed to enable comparison of values across time and countries. The database was most recently updated with numbers for 2017.

“Analysts/researchers” is a head count of professionals employed at local organizations whose work involves food policy research or analysis. To introduce some uniformity, IFPRI also presents a modified quantification of the head count: "full-time equivalent analysts/researchers with PhD equivalent." To obtain an indicator of per capita food policy research capacity, this research capacity is then divided by the country’s rural population ("full-time equivalent researchers per million rural residents"). This helps to illustrate the impact of local food policy research in a country. This indicator was last updated in 2015.

The quality of a country’s food policy research capacity is estimated by tallying the number of relevant international publications in peer-reviewed journals over a five-year period. IFPRI views this as a reflection of the local enabling environment for food policy research. This indicator allows for comparison across countries, as it ensures an internationally accepted standard of quality for publications. The final indicator ("publications per full-time equivalent researcher") is derived by dividing the number of international publications by the number of full-time equivalent researchers with a PhD, providing a measure of productivity.

× Food policy research plays a crucial role in guiding the agricultural development of countries. To achieve food security goals, countries need to strengthen their capacity to conduct food policy research. Strong local policy research institutions help in shaping an evidence-based policy-making process. Measuring national capacity for food policy research is important for identifying capacity gaps in food policy research and guiding the allocation of resources to fill those gaps. Food policy research capacity is defined as any socioeconomic or policy-related research capacity in the area of food, agriculture, or natural resources. To measure this capacity, the International Food Policy Research Institute (IFPRI) developed a set of indicators of the quantity and quality of policy research at the country level.

IFPRI created a database for food policy research capacity in 2010 and has continued to expand and refine it. The data presented are currently collected for 33 countries; data for Myanmar were added in 2017. A consistent methodology is followed to enable comparison of values across time and countries. The database was most recently updated with numbers for 2018.

“Analysts/researchers” is a head count of professionals employed at local organizations whose work involves food policy research or analysis. To introduce some uniformity, IFPRI also presents a modified quantification of the headcount: "full-time equivalent analysts/researchers with the Ph.D. equivalent." To obtain an indicator of per capita food policy research capacity, this research capacity is then divided by the country’s rural population ("full-time equivalent researchers per million rural residents"). This helps to illustrate the impact of local food policy research in a country. This indicator was last updated in 2015.

The quality of a country’s food policy research capacity is estimated by tallying the number of relevant international publications in peer-reviewed journals over a five-year period. IFPRI views this as a reflection of the local enabling environment for food policy research. This indicator allows for comparison across countries, as it ensures an internationally accepted standard of quality for publications. The final indicator ("publications per full-time equivalent researcher") is derived by dividing the number of international publications by the number of full-time equivalent researchers with a Ph.D., providing a measure of productivity.

× The Food Security Simulator is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks on food security and people’s diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, household-level outcomes of economic crises and policy responses in a timely manner. The tool allows users to enter positive and negative price or income changes in percentage terms and provides simulated changes for a diverse set of food-consumption- and diet-quality-related indicators. In addition to detailed tabular presentations of all simulation results by household income quintile and residential area, key indicator results are summarized in concise overview tables and visualized in graphs for easy export and use in reports. The underlying data include estimates from representative household survey data and rigorous, sophisticated food demand models to capture consumer behavior.

× The Food Security Simulator is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks on food security and people’s diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, household-level outcomes of economic crises and policy responses in a timely manner. The tool allows users to enter positive and negative price or income changes in percentage terms and provides simulated changes for a diverse set of food-consumption- and diet-quality-related indicators. In addition to detailed tabular presentations of all simulation results by household income quintile and residential area, key indicator results are summarized in concise overview tables and visualized in graphs for easy export and use in reports. The underlying data include estimates from representative household survey data and rigorous, sophisticated food demand models to capture consumer behavior.

× In Burkina Faso very little is known about levels of vitamin A, iron, and zinc deficiencies. The lack of detailed knowledge about food and nutrients intake and deficiency levels is a substantial obstacle to the design, implementation and evaluation of effective food-based interventions such as biofortification. The present study, a preliminary study of a sorghum biofortification project, was conducted to contribute to fill that knowledge gap in two rural provinces of Burkina Faso.
Its objectives were: (i) to provide reliable information on sorghum consumption, micronutrient intakes and micronutrient deficiencies among women of reproductive age and their preschool children, in order to better inform sorghum micronutrient content breeding targets and future interventions; and (ii) to investigate the relationship between biomarkers of status and dietary intakes of iron, zinc and vitamin A among the study subjects in order to better inform the evaluation design of future biofortification interventions.
This work is part of the Grand Challenges in Global Health (#9), an initiative of the Bill and Melinda Gates Foundation through a grant to the International Food Policy Research Institute; with additional funds from the Institut de Recherche pour le Développement.

× This dataset is generated from the research study conducted to understand gender issues surrounding the adoption and sustainability of living mulch technologies at the household as well as community level. The survey was conducted among farmers who were practicing living mulch in Northern Ghana. Data were collected from 77 farmers in 12 communities across six districts from Jan-Feb, 2019. The data collected include demographic information, general farm system description, gender and household processes, and market participation among others. The main data generation strategy of this study was focus group discussions.

× Through research and scaling, Africa RISING strives to create opportunities for smallholder farm households to move out of hunger and poverty. However, knowledge about gendered differences in the adoption of intensification practices is still limited and often based on results from quantitative studies only. The evaluation is to gain an in-depth understanding of gender issues surrounding the adoption and sustainability of maize leaf stripping technologies on the household as well as community level. This includes an understanding of intra-household decision-making and labor allocation; access to resources, participation as well as benefit-sharing among male and female households and community members. The data covers basic demographic information, general farm system description, gender and household processes, and market participation of 60 farmers involved in maize leaf stripping in Northern Ghana. The main data generation strategy of this study was focus group discussions.

× Through research and scaling, Africa RISING strives to create opportunities for smallholder farm households to move out of hunger and poverty. However, knowledge about gendered differences in the adoption of intensification practices is still limited and often based on results from quantitative studies only. The Gender Evaluation of Tomato and Eggplant in Southern Mali study is conducted to gain an in-depth understanding of gender issues around the cultivation of tomatoes and eggplants. The data set covers demographic information, general farm system description, market participation, gender and household processes of 75 tomato and eggplant farmers in the Koutiala and Bougouni district of Southern Mali. The main data generation strategy of this study was focus group discussions.

× In 2015, livestock scientists implementing Africa RISING research-in-development activities (R-in-D) introduced forage chopper machines in seven villages in Babati District, northern Tanzania. The dataset included in this study was generated from the research conducted an year later to understand the gender implications of the new processing practices. The survey was conducted among households who used forage chopper machines and included questions about intra-household decision-making, previous knowledge of the technology, training, and willingness to pay among many others. Altogether 53 male and female respondents were selected for the survey.

× This study contains data from the survey conducted to assess gender roles in household legume utilization for complementary feeding in Dedza and Ntcheu districts of Malawi.

× As part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting three multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR) program. The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Ethiopia, Tanzania, Malawi, Mali, and (potentially) Zambia. In West Africa, IITA works with multi-disciplinary 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 realities7. 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 soil 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.

× This data is from a study conducted with 960 Ghanaian households to gather citizen perspectives on decentralization in general and specifically on the impacts of Ghana’s devolution of agricultural services, which began in 2012.
The survey is split into 9 survey modules:
1. Sampling (SA) – location information about the region, district, and community where the respondent is based
2. General Information (ID) – basic demographic, educational, household background, and occupational information of respondent
3. Farming & Livestock (FL) – details about household’s farming and livestock activities
4. Agricultural Extension Services (EX) – details about access to, and use of, agriculture or livestock advisory services for the subset of the sample that has agricultural land or has their primary or secondary occupation in agriculture
5. Political and Community Participation (PP) – information about respondent’s degree of participation in collective action and voting, engagement with elected officials, and frequency of access to the news
6. Perspectives on Local Government and Decentralization (LG) - subjective views about how well local government is functioning and preferences for investment in respondent’s community
7. Household Welfare (HW) – questions about the range of assets owned by the respondent’s household, as well as access to major services (e.g. water, electricity, etc.)
8. Access to facilities (AF) – degree of household’s access to public services and facilities, such as health post, market, etc.
9. Final (FI) – enumerator observations

× This dataset was created by re-compiling available open, gender/sex-disaggregated Feed the Future data for Ghana and applying standard processing methods to enhance their accessibility and interoperability. This process entailed the standardization of variable names and labels, the creation of derived socio-economic indicators such as dietary diversity scores, household dependency ratios, and household age and gender composition. This dataset allows researchers to easily use data for Ghana, as well as make cross-country comparisons with other standardized datasets. Moreover, the provision of household GPS coordinates (offset for confidentiality purposes) allows users to match data at different levels. This work combines multi-topic household and community socioeconomic and agricultural surveys with biophysical datasets from multiple sources, including remote sensing, for a thorough comparison of different phenomena. These biophysical sources include the International Soil Reference and Information Centre (ISRIC) World Soil Information, NASA MODIS vegetation indices and land surface temperature data, and the HarvestChoice spatially-disaggregated subnational crop production statistics database (Spatial Production Allocation Model; SPAM).

× This dataset provides information on livelihoods and household food and nutrition security in an urban setting. The questionnaire was administered to 559 households in 16 enumeration areas in the Greater Accra Metropolitan Area from January through April, 1997. The sample is representative of households with children under 36 months. Topics in the household survey include complete household income, including information on credit and transfers; employment status; household food consumption (including detailed information on street food consumption); household food and non-food expenditures, assets; educational attainment for the head of the household and the mother of the index child, morbidity and health seeking behavior; anthropometry of all children in the household and the mother of the index child; care practices; food coping strategies; adaptive strategies; and hygiene spot check. Topics in the community survey include market prices, street foods, quality of services, and NGO activity.

× In 2000, UNICEF–Ghana and IFPRI agreed upon a program of action research to evaluate the scope for food-based strategies to reduce micronutrient undernutrition in Ghana. The food-based strategies were planned as one component of UNICEF’s broader Integrated Community Based Development (ICBD) program. Although UNICEF had been operating its ICBD program in other districts, the food-based micronutrient strategies were first introduced as part of the ICBD program in Savelugu/Nanton District. The 2001 Ghana Savelugu-Nanton Survey is one of the early steps in the program of action research to evaluate the effectiveness of food-based strategies to increase the consumption of micronutrient-rich foods, especially among young children and women of reproductive age. The survey interviewed 1,684 households living in 64 communities, and collected information about agricultural production, food consumption, nutritional status, use of credit, education, community infrastructure and services, and a range of other topics. The 2001 survey provides baseline information on conditions that existed prior to the implementation of the program interventions. A follow-up survey was conducted in 2004 to evaluate the impact of the program not only on the consumption of micronutrient-rich foods, but also on a number of other outcomes of interest, including access to and use of credit, children’s nutritional status, women’s control of resources, and household incomes.

× In 2000, UNICEF–Ghana and IFPRI agreed upon a program of action research to evaluate the scope for food-based strategies to reduce micronutrient undernutrition in Ghana. The food-based strategies were planned as one component of UNICEF’s broader Integrated Community Based Development (ICBD) program. Although UNICEF had been operating its ICBD program in other districts, the food-based micronutrient strategies were first introduced as part of the ICBD program in Savelugu/Nanton District. The 2004 Savelugu/Nanton Household Survey was collected by the International Food Policy Research Institute (IFPRI) in collaboration with the Food and Nutrition Security Unit (FNSU) at the University for Development Studies (UDS), which is based in Tamale, northern Ghana. It is a cross-sectional survey that, when paired with the baseline survey conducted in 2001, formed the basis for an IFPRI-led impact evaluation of interventions sponsored by the United Nations Children’s Fund (UNICEF) to increase the micronutrient content of young children’s diets. The 2001 baseline household and community survey is also available from IFPRI at http://www.ifpri.org/data/Ghana02.asp.

× The 2005 Ghana Social Accounting Matrix (SAM) is a consistent data framework that captures the information contained in the national income and product accounts and the input-output table, as well as the monetary flows between institutions. The SAM estimates the structure of the Ghanaian economy in 2005 and includes detailed information on 56 production sectors, six factors of production, income and expenditures of rural and urban households, the government budget, and the balance of payments. A regionally disaggregated version of the SAM is available from the authors upon request.

× The purpose of this data compilation effort was to use the data for research on fiscal decentralization and public investment in Ghana. The dataset, which consists of district-level observations, covers all of Ghana’s 110 districts in existence during the period 1994 to 2004. (Since then, the number of districts in Ghana has grown as the result of administrative rearrangements.) The dataset was compiled from administrative data sources of the Ministry of Local Government, Rural Development, and Environment (MLGRDE) of Ghana, Inspectorate Division (under the then-leadership of Mr. Johnson Alifo). Some of the data were obtained directly from the Ministry, while other parts of the data had been previously obtained from the Ministry by researchers at the Institute for Statistical Social and Economic Research (ISSER) in the University of Ghana, Accra. These data are secondary, “raw” data, however were compiled and organized by IFPRI staff from both electronic sources, as well as from hardcopy sources available only in Ghanaian government physical archival records. Additional data management activities undertaken were the compilation of the data into a consistent format (e.g. each row represents a district), the application of the same spelling of districts across files, and the use of a consistent variable name across files.
The values in the dataset were denoted in ‘old’ cedi, not the new Ghana cedi (GHC), which was introduced in July 2007. One new GHC is equivalent to 10,000 ‘old’ cedi. The dataset retains the denomination used in the original dataset (which pertains to the years 1994-2004, before the introduction of the GHC). The values are nominal (not adjusted for inflation). No questionnaires or other survey instruments have been used, since this was a collection of secondary administrative data. (2012-03-13)

× The objective of the study is to test different plant arrangements between maize and Gliricidia sepium and evaluate its effects on soil quality and productivity. Below is the list of treatments applied during the experiment. - Traditional Maize- Groundnuts rotation [with half recommended fertilizer on maize, no fertilizer on groundnuts]; - Maize-Groundnut rotation with Gliricidia [ Maize/Gliricidia (COMACO?s Gliricidia spacing: 5m x 1m) ? Groundnuts/Gliricidia]; - Doubled up Maize-Groundnut rotation with Gliricidia [Maize/Gliricidia (Dispersed shading spacing; 10m x 5m)/pigeonpea ? Groundnuts/Gliricidia/Pigeonpea].

× The objective of the study is to test different plant arrangements between maize and Gliricidia sepium and evaluate its effects on soil quality and productivity. Below is the list of treatments applied during the experiment. - Traditional Maize- Groundnuts rotation [with half recommended fertilizer on maize, no fertilizer on groundnuts]. - Maize-Groundnut rotation with Gliricidia [ Maize/Gliricidia (COMACO?s Gliricidia spacing: 5m x 1m) ? Groundnuts/Gliricidia]. - Doubled up Maize-Groundnut rotation with Gliricidia [Maize/Gliricidia (Dispersed shading spacing; 10m x 5m)/pigeonpea ? Groundnuts/Gliricidia/Pigeonpea].

× The data contained here are a preliminary version of the Urban-Rural urban mask. Improved versions will follow. All urban areas with a population of 1,000 persons or more have been included. Note that for many countries, the data collection did not include settlements as small as 1,000 persons. Ancillary information indicating the smallest settlement size is forthcoming. No population values are given here, but will be available in complementary data products.; Demographic information is often provided on a national basis, but global environmental and other cross-disciplinary studies usually require data that are referenced by geographic coordinates, such as latitude and longitude, rather than by political or administrative units. In this dataset, the distribution of human population is converted from national or subnational units to a series of eoreferenced quadrilateral grids.; Developed in 1999-2000, GPW version 2, incorporates a number improvements to the original version of this popular dataset. GPW version 2 provides estimates of the population of the world in 1990 and 1995, both population counts (raw counts) and population densities (per square km). National figures have been reconciled to be consistent with United Nations population estimates for those years; unadjusted data are also available. Both images and data are downloadable.

× Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global gridscape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts

× Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global gridscape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts.

× Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global grid-scape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts.

× One of the obstacles in applying advanced crop simulation models such as DSSAT at a grid-based platform is the lack of gridded soil input data at various resolutions. Recently, there has been many efforts in scientific communities to develop spatially continuous soil database across the globe. The most representative example is the SoilGrids 1km released by ISRIC in 2014. In addition recent AfSIS project put a lot of efforts to develop more accurate soil database in Africa at high spatial resolution. Taking advantage of those two available high resolution soil databases (SoilGrids 1km and ISRIC-AfSIS at 1km resolution), this project aims to develop a set of DSSAT compatible soil profiles on 5 arc-minute grid (which is HarvestChoice’s standard grid). Six soil properties (bulk density, organic carbon, percentage of clay and silt, soil pH and cation exchange capacity) available from the original SoilGrids 1km or ISRIC-AfSIS were directly used as DSSAT inputs. We applied a pedo-transfer function to derive some soil hydraulic properties (saturated hydraulic conductivity, soil water content at field capacity, wilting point and saturation) which are critical to simulate crop growth. For other required variables, HarvestChoice’s HC27 database are used as a reference. Final outputs are provided in *.SOL file format (DSSAT soil database) for each country at 5-min resolution. In addition, uncertainty maps for organic carbon and soil water content at wilting points at the top 15 cm soil layers were generated to provide brief idea about accuracy of the final products. The generated soil properties were evaluated by visualizing their global maps and by comparing them with IIASA-IFPRI cropland map and AfSIS-GYGA’s available water content maps.

× This data study contains data on tree Lucerne particularly tree height, diameter, survival, and biomass yield to evaluate its growth performance in Africa RISING sites. Project title: Integrating tree Lucerne (Chamaetysisus palmensis) in the crop-livestock farming systems of the Ethiopian highlands for multiple products and service Project abstract: Tree Lucerne is a nitrogen fixing, fast growing and ecologically adaptable multipurpose plant species that is considered for evaluation in the Africa RISING sites. Integration of tree Lucerne in the crop-livestock farming systems is aimed at contributing to income diversification, improving crop and livestock productivity and enhancing the participation of women and children in the research process to benefit them equitably. This research is conducted in the 4 Africa RISING sites. Two research kebles are used in eah site. Tree Lucerne Farmer Research Groups (FRGs) formed in each of the Africa RISING research kebeles. The number of farmers engaged in the FRGs varies from 23-56 and representing a range of social groups. Project website: http://africa-rising.net

× Guatemala beans middlemen survey is the study of the middlemen in the beans value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Guatemala beans producer survey is the study of the producers in the beans value chain in Guatemala. These data allow quantifying the extent of food loss at the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Guatemala beans wholesaler survey is the study of the wholesalers in the beans value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Guatemala middlemen survey is the study of the middlemen in the maize value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Guatemala maize producer survey is the study of the producers in the maize value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Guatemala maize wholesaler survey is the study of the wholesalers in the maize value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× This survey was designed to provide a qualitative and quantitative assessment of the operations and impact of the Hogares Comunitarios program, a day care program under the auspices of the office of the First Lady of Guatemala. Two surveys were carried out: a random sample of 1340 households in one municipio of Guatemala City; and an impact evaluation sample of 550 households divided into participating and control households. Topics in the random sample survey include mother's income and employment status and history; assets; social capital; literacy and schooling; children under seven and mother's anthropometry; household composition, child care arrangements; family history; and hygiene spot check. Topics in the impact evaluation sample survey include household income; employment; household value of consumed goods; assets; social capital; literacy and schooling; morbidity of children 2-5 years old; anthropometry of 2-5 year olds and mother; household composition; child care arrangements; hamily history; hygiene spot check; house construction material; availability of water, sanitation, garbage-removal services; and child's diet. This survey was designed to provide a qualitative and quantitative assessment of the operations and impact of the Hogares Comunitarios program, a day care program under the auspices of the office of the First Lady of Guatemala. Two surveys were carried out: a random sample of 1340 households in one municipio of Guatemala City; and an impact evaluation sample of 550 households divided into participating and control households. Topics in the random sample survey include mother's income and employment status and history; assets; social capital; literacy and schooling; children under seven and mother's anthropometry; household composition, child care arrangements; family history; and hygiene spot check. Topics in the impact evaluation sample survey include household income; employment; household value of consumed goods; assets; social capital; literacy and schooling; morbidity of children 2-5 years old; anthropometry of 2-5 year olds and mother; household composition; child care arrangements; hamily history; hygiene spot check; house construction material; availability of water, sanitation, garbage-removal services; and child's diet. This dataset, along with the KwaZulu-Natal Income Dynamics Survey dataset and the Bangladesh Commercial Vegetable and Fish Polyculture Production dataset, were collected with the objective of examining to what extent intrahousehold allocation processes would affect the outcome of development policies, with particular emphasis on gender as a determinant of intrahousehold allocation. Because the data were designed to make some analyses comparable across countries, several modules are similar for all three datasets. The common modules include: information on assets at marriage of husband and wife, family background information, individual education and anthropometric data. Other modules are different because each country study has a different emphasis. See Table 1 (PDF 65K) for a comparison of these datasets.

× The HC27 soil profile database consists of generic soil profiles developed by John Dimes and Jawoo Koo. The 27 soil profiles were generated based on three criteria that crop models are most responsive to: texture, rooting depth (proxy of water availability), and organic carbon content (proxy of fertility). Three levels for each category were classified using the boundary conditions based on the meta-analysis of WISE 1.1 soil profiles measured at crop land areas in Sub-Saharan Africa.

There are multiple ways to utilize these generic soil profiles in crop modeling applications, especially when soil measurement data is not available for the study site. For example, (1) users can choose the one that best matches the soil typically found in the study area by following the decision tree of three multiple-choice questions and use it as a starting point, or (2) users can run models with all 27 soil profiles for a given study site to create a possible range of simulation results, which can be narrowed down later as more site-specific information becomes available.
These generic soil profiles does not replace existing soil mapping efforts nor site-specific soil measurements. Instead this approach addresses the need for a set of reasonably representative and prototypical soil profiles in certain types of crop modeling applications (e.g., global-scale modeling studies). Due to the nature of being "generic," there will be applications for which the use of HC27 is not desirable, especially where detailed soil property dynamics beyond the three criteria are emphasized.

× HCID is a global grid identification system offering users to refer the location and boundary of a grid cell, available at multiple spatial resolutions, using a single integer number. Instead of using the coordinates (latitude and longitude) of two corners of the grid cell bounding box (i.e., upper-left and lower-right), we assign each grid cell with a sequential integer number, or a grid cell ID, unique to each spatial resolution. This system was developed by HarvestChoice (http://harvestchoice.org) and is being widely used to facilitate analysis of spatial data layers, including the visualization, domain analysis, spatial aggregation/dis-aggregation, and general exchange of spatially-explicit data across disciplines - without needing to use a GIS software and spatial analysis skills. For the five arc-minute resolution of grids, we call the ID system as "CELL5M", whereas ones for 30 arc-second, 30-minute and 1 degree are called CELL30S, CELL30M and CELL1D, respectively. Assigning 0 starting at the upper-left corner (longitude: -180.0, latitude: 90.0) with a geographic projection, for example, CELL5M ranges up to 9,331,199 at the lower-right corner (longitude: 180.0, latitude: -90.0). The grid cell ID at a specific location can be easily computed mathematically, and this can be also easily converted to different resolutions.

× As part of an IFPRI-funded project, raw and partially processed secondary data have been harmonized and analyzed to examine the effects of weather variability on household welfare, the latter measured using per capita total household expenditure. This cross-country project covers rural Ghana, Uganda, and Tanzania. Household survey data, a time series of monthly precipitation and temperature, as well as other biophysical data have been harmonized and analyzed using Stata software. Several Stata do files have been created for data processing and analysis as noted in the attached “READ ME.txt” file.

The sources of household survey data are the following: National Household Budget Surveys and National Panel Surveys (for Tanzania); National Household Surveys and National Panel Surveys (for Uganda); and Ghana Living Standards Surveys (for Ghana). Precipitation data are obtained from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). Temperature data are obtained from the Center for Climatic Research at the University of Delaware. Other landscape-level biophysical data analyzed include night lights, population density, and agroecological zones (AEZ).

× Subnational poverty headcount ratios were derived from 66 nationally representative household surveys and population census information conducted in various years around 2008 for 26 countries. Our poverty calculations are based on the comparison between the household per-capita consumption expenditure (a synthetic indicator expressing the money-metric welfare utility level) and the $1.90 and $3.10/day poverty lines expressed in international equivalent purchasing power parity (PPP) dollars in 2011. Poverty headcount with standard deviation, gap, severity, and Gini index are also provided.

× A multi-stage cluster survey was conducted in two rural rice-producing regions in Bangladesh in 2007-2008 as the initial project of a HarvestPlus multi-stage research program to determine the potential impact of zinc-biofortified rice on the zinc and health status among children in Bangladesh who are at risk of zinc deficiency.
In each region, 240 children ages 24-48 months were enrolled. Dietary information was collected primarily by direct observation and weighing of food preparation and consumption, including test weighing of milk intakes by breast-fed children. Height and weight were measured in all children, and in a subset of children, blood samples were collected and analyzed for concentrations of serum zinc and indicators of infection.

× Helen Keller International (HKI) has been implementing homestead food production (HFP) programs in Asia for the past 20 years and has recently begun implementing HFP programs in Africa as well. In general, these programs target women and are designed to improve maternal and child health and nutrition outcomes. The start date is February 2010 and estimated completion date is June 2017. The collaborators for this trial are: United States Agency for International Development (USAID); Bill and Melinda Gates Foundation. The International Food Policy Research Institute (IFPRI) sponsored this trial.

× Honduras beans middlemen survey is the study of the middlemen in the beans value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Honduras beans producer survey is the study of the producers in the beans value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Honduras beans wholesaler survey is the study of the wholesalers in the beans value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Honduras maize middlemen survey is the study of the middlemen in the maize value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Honduras maize producer survey is the study of the producers in the maize value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Honduras maize wholesaler survey is the study of the wholesalers in the maize value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× The dataset focuses on household food and nutrition security in western Honduras. The questionnaires were administered to 4,810 individuals in 691 households from 39 communities in four rounds from March, 1997, through April, 1998. Two-thirds of the households surveyed either received or were expected to receive services from an IFAD-funded rural development project. The other one-third were matched control communities. Topics include general household and household member characteristics; employment and sources of off-farm income; access to land; on-farm production; use and post-harvest losses of farm produce; production of key crops; household assets; credit and transfers in; participation in organized groups; schooling and literacy; housing conditions; coping strategies; anthopometry of children under five years; and diet, feeding, mordibity, and hunger.

× This dataset is generated from the study comparing the cooking performance of on-farm produced fuels such as wood from Gliricidia sepium (Jacq.) Kunth ex Walp. and Cajanus cajan (L.) Millsp. (pigeon pea stalks) with the off-farm fuelwood species Mimusops obtusifolia (Lam. Sapotaceae). Fuel performance was tested using Three-Stone Fire stoves and artisan-made Improved Cooking Stoves. 75 cooking tasks, cooking a standardized pre-defined meal with two pots were completed in five villages in Chamwino and Kongwa districts, Dodoma region. The Controlled Cooking Test design assessed four key performance indicators: (1) time until water is boiling in pot A, (2) time until food item in pot A is ready to be consumed, (3) total cooking time per meal, including food items in pots A and B, (4) total fuel consumption per meal, including food items in pots A and B.

× This new database of emissions in agricultural production provides data on emissions by type, commodity, source, and country. Wherever possible, this matrix was derived by reverse-engineering the Food and Agriculture Organization (FAO) emission data to ensure that the total matched the FAOSTAT. Where this was not possible, as in the case of emissions from pesticides, a similar Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodology was used to generate comparable estimates. Emission sources are identified used eleven FAOSTAT-based categories plus emissions from agricultural pesticides. The first step was to define the activity levels associated with commodity outputs, such as the area used for rice cultivation. The second was to calculate the emission coefficients (EC) for CH4, CO2, and N2O by activity level using, wherever possible, the FAOSTAT database. Finally, emissions of N2O and CH4 were converted to CO2 equivalents using 310 and 21 for N2O and CH4 respectively.

× The IFPRI-CCAFS Gender and Climate Change Survey data were collected between April and May 2013 as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) under the project "Increasing Women’s Resilience to Confront Climate Change." It aimed to enhance understanding of gendered climate change perceptions, impacts, adaptation, and coping strategies, as well as the constraints to adaptation within two CCAFS research sites in Bangladesh, Bagerhat and Satkhira.
Data were collected on the three previous agricultural seasons, that is, from August 2011 to August 2012. The survey covered the same households that were sampled for the IMPACT Lite surveys, designed by researchers at the International Livestock Research Institute (ILRI) in order to supplement the detailed productivity-related information collected through that survey.

Gender-disaggregated data were gathered on climate change perceptions, agricultural activities, decision-making, weather information, risk perceptions, and adaptation. Information was also collected on assets, farming decisions, agricultural practices, respondents’ access to information, extension services, and credit; and their participation in community groups. Data were gathered through the use of questionnaires administered through face-to-face interviews. Two adult decision makers (one male and one female) were interviewed separately per household in order to capture independent perceptions.

× The IFPRI-CCAFS Gender and Climate Change Survey data were collected in four sites in Africa south of the Sahara in early 2013 as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) under the project "Increasing Women’s Resilience to Confront Climate Change." It aimed to enhance understanding of gendered climate change perceptions, impacts, adaptation and coping strategies, as well as the constraints to adaptation within selected CCAFS baseline sites in Kenya, Senegal, and Uganda. Specifically, the survey was designed to answer questions such as:
• How do men and women perceive climate change and, particularly, the livelihood risks associated with climate change?

• What are the gender disparities in access to and control over assets and how and to what degree does the disparity in assets affect how men and women experience climate shocks and change?

• How and to what degree does asset disparity determine how men and women respond to climate shocks and change?

• Which coping strategies and adaptation options are favored by women and men, respectively, and why?

The survey collected detailed gender-disaggregated data on these issues to inform strategies to increase climate change resilience among both women and men.The gender survey contained 13 modules, posing questions at the household and individual levels. These modules are: 1) a household roster; 2) sketch of the farm (pre-populated from a previous survey—IMPACT Lite); 3) land ownership, management, and decision making; 4) decision-making authority on agricultural, livestock, and household decisions; 5) adoption and knowledge of climate-smart agriculture practices; 6) access to and use of climate and agricultural information services; 7) access to and use of credit; 8) membership in groups; 9) fuel and water use; 10) experience with climate shocks and coping strategies; 11) perception of climate change and its potential impacts; 12) identification of adaptation strategies; and 13) cognitive decision-making and personal values questions.

Four sets of data are generated from the survey conducted in four sites-Nyando and Wote in Kenya, Rakai in Uganda, and Kaffrine in Senegal. This study contains data from Kaffrine.

× The IFPRI-CCAFS Gender and Climate Change Survey data were collected in four sites in Africa south of the Sahara in early 2013 as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) under the project "Increasing Women’s Resilience to Confront Climate Change." It aimed to enhance understanding of gendered climate change perceptions, impacts, adaptation and coping strategies, as well as the constraints to adaptation within selected CCAFS baseline sites in Kenya, Senegal, and Uganda. Specifically, the survey was designed to answer questions such as:
• How do men and women perceive climate change and, particularly, the livelihood risks associated with climate change?

• What are the gender disparities in access to and control over assets and how and to what degree does the disparity in assets affect how men and women experience climate shocks and change?

• How and to what degree does asset disparity determine how men and women respond to climate shocks and change?

• Which coping strategies and adaptation options are favored by women and men, respectively, and why?

The survey collected detailed gender-disaggregated data on these issues to inform strategies to increase climate change resilience among both women and men. The gender survey contained 13 modules, posing questions at the household and individual levels. These modules are: 1) a household roster; 2) sketch of the farm (pre-populated from a previous survey—IMPACT Lite); 3) land ownership, management, and decision making; 4) decision-making authority on agricultural, livestock, and household decisions; 5) adoption and knowledge of climate-smart agriculture practices; 6) access to and use of climate and agricultural information services; 7) access to and use of credit; 8) membership in groups; 9) fuel and water use; 10) experience with climate shocks and coping strategies; 11) perception of climate change and its potential impacts; 12) identification of adaptation strategies; and 13) cognitive decision-making and personal values questions.

Four sets of data are generated from the survey conducted in four sites-Nyando and Wote in Kenya, Rakai in Uganda, and Kaffrine in Senegal. This study contains data from Nyando.

× The IFPRI-CCAFS Gender and Climate Change Survey data were collected in four sites in Africa south of the Sahara in early 2013 as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) under the project "Increasing Women’s Resilience to Confront Climate Change." It aimed to enhance understanding of gendered climate change perceptions, impacts, adaptation and coping strategies, as well as the constraints to adaptation within selected CCAFS baseline sites in Kenya, Senegal, and Uganda. Specifically, the survey was designed to answer questions such as:
• How do men and women perceive climate change and, particularly, the livelihood risks associated with climate change?

• What are the gender disparities in access to and control over assets and how and to what degree does the disparity in assets affect how men and women experience climate shocks and change?

• How and to what degree does asset disparity determine how men and women respond to climate shocks and change?

• Which coping strategies and adaptation options are favored by women and men, respectively, and why?

The survey collected detailed gender-disaggregated data on these issues to inform strategies to increase climate change resilience among both women and men. The gender survey contained 13 modules, posing questions at the household and individual levels. These modules are: 1) a household roster; 2) sketch of the farm (pre-populated from a previous survey—IMPACT Lite); 3) land ownership, management, and decision making; 4) decision-making authority on agricultural, livestock, and household decisions; 5) adoption and knowledge of climate-smart agriculture practices; 6) access to and use of climate and agricultural information services; 7) access to and use of credit; 8) membership in groups; 9) fuel and water use; 10) experience with climate shocks and coping strategies; 11) perception of climate change and its potential impacts; 12) identification of adaptation strategies; and 13) cognitive decision-making and personal values questions.

Four sets of data are generated from the survey conducted in four sites-Nyando and Wote in Kenya, Rakai in Uganda, and Kaffrine in Senegal. This study contains data from Rakai.

× The IFPRI-CCAFS Gender and Climate Change Survey data were collected in four sites in Africa south of the Sahara in early 2013 as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) under the project "Increasing Women’s Resilience to Confront Climate Change." It aimed to enhance understanding of gendered climate change perceptions, impacts, adaptation and coping strategies, as well as the constraints to adaptation within selected CCAFS baseline sites in Kenya, Senegal, and Uganda. Specifically, the survey was designed to answer questions such as:
• How do men and women perceive climate change and, particularly, the livelihood risks associated with climate change?

• What are the gender disparities in access to and control over assets and how and to what degree does the disparity in assets affect how men and women experience climate shocks and change?

• How and to what degree does asset disparity determine how men and women respond to climate shocks and change?

• Which coping strategies and adaptation options are favored by women and men, respectively, and why?

The survey collected detailed gender-disaggregated data on these issues to inform strategies to increase climate change resilience among both women and men. The gender survey contained 13 modules, posing questions at the household and individual levels. These modules are: 1) a household roster; 2) sketch of the farm (pre-populated from a previous survey—IMPACT Lite); 3) land ownership, management, and decision making; 4) decision-making authority on agricultural, livestock, and household decisions; 5) adoption and knowledge of climate-smart agriculture practices; 6) access to and use of climate and agricultural information services; 7) access to and use of credit; 8) membership in groups; 9) fuel and water use; 10) experience with climate shocks and coping strategies; 11) perception of climate change and its potential impacts; 12) identification of adaptation strategies; and 13) cognitive decision-making and personal values questions.

Four sets of data are generated from the survey conducted in four sites-Nyando and Wote in Kenya, Rakai in Uganda, and Kaffrine in Senegal. This study contains data from Wote.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
The IMPACT model was used to evaluate impacts of climate change on aggregate food production, food consumption (kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits from close interactions with scientists across CGIAR and other leading global economic modeling efforts around the world through the Agricultural Model Intercomparison and Improvement Project (AgMIP).
This dataset summarizes results from the latest IMPACT projections to 2030 and 2050, for a scenario that includes the impacts of climate change and a “baseline” scenario that assumes no climate change (for comparison). These results update previous projections by showing aggregations to six regions: Central and West Asia and North Africa; Eastern and Southern Africa; Latin America and the Caribbean; South Asia; Southeast Asia; West and Central Africa; and the rest of the world.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for exploration such scenarios.

At IMPACT's core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research centers through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset summarizes results from the latest IMPACT projections to 2030 and 2050. Results are included for production, consumption, and trade of major food commodity groups, by regions and country. The projections are for two "baseline scenarios"-one considers the impacts of climate change, while the assumes no climate change (for comparison).

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for exploration such scenarios.

At IMPACT's core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research centers through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset summarizes results from the latest IMPACT projections to 2030 and 2050. Results are included for total demand and demand index of various agricultural commodities, by region and for selected countries. The projections are for two "baseline scenarios"-one considers the impacts of climate change, while the assumes no climate change (for comparison).

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for exploration such scenarios.

At IMPACT's core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research centers through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset summarizes results from the latest IMPACT projections to 2030 and 2050. Results are included for production, consumption, and for the population at risk of hunger, by region and for selected countries. The projections are for two "baseline scenarios"-one considers the impacts of climate change, while the assumes no climate change (for comparison).

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.

At IMPACT's core is a partial equilibrium, the multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research center through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset summarizes results from the latest IMPACT projections to 2030 and 2050. Results are included for production, consumption, and for the population at risk of hunger, by region and for selected countries. The projections are for two "baseline scenarios"-one considers the impacts of climate change, while the assumes no climate change (for comparison).

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for exploration such scenarios.

At IMPACT's core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research centers through the Global Futures and Strategic Foresight (GFSF) program, and with other l

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.

At IMPACT's core is a partial equilibrium, the multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research center through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset summarizes results from the latest IMPACT projections to 2030 and 2050. Results are included for production, consumption, and trade of major food commodity groups, by regions and country. The projections are for two "baseline scenarios"-one considers the impacts of climate change, while the assumes no climate change (for comparison).

×
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
The IMPACT model was used to evaluate impacts of climate change on aggregate food production, food consumption (kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits from close interactions with scientists across CGIAR and other leading global economic modeling efforts around the world through the Agricultural Model Intercomparison and Improvement Project (AgMIP).
This dataset summarizes results from the latest IMPACT projections to 2030 and 2050, for a scenario that includes the impacts of climate change and a “baseline” scenario that assumes no climate change (for comparison). These results update previous projections by showing aggregations to six regions: Central and West Asia and North Africa; Eastern and Southern Africa; Latin America and the Caribbean; South Asia; Southeast Asia; West and Central Africa; and the rest of the world.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
The IMPACT model was used to evaluate impacts of climate change on aggregate food production, food consumption (kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits from close interactions with scientists across CGIAR and other leading global economic modeling efforts around the world through the Agricultural Model Intercomparison and Improvement Project (AgMIP).
This dataset summarizes results from the latest IMPACT projections to 2030 and 2050, for a scenario that includes the impacts of climate change and a “baseline” scenario that assumes no climate change (for comparison). These results update previous projections by showing aggregations to six regions: Central and West Asia and North Africa; Eastern and Southern Africa; Latin America and the Caribbean; South Asia; Southeast Asia; West and Central Africa; and the rest of the world.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices. The International Food Policy Research Institute's IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for exploration such scenarios.

At IMPACT's core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policy makers at national, regional, and global levels. IMPACT benefits from close interactions with scientists at all 15 CGIAR research centers through the Global Futures and Strategic Foresight (GFSF) program, and with other leading global economic modeling efforts around the world through Agricultural Model Intercomparison and Improvement Project (AgMIP).

This dataset summarizes results from the latest IMPACT projections to 2030 and 2050. Results are included for production, consumption, and trade of major food commodity groups, by regions and country. The projections are for two "baseline scenarios"-one considers the impacts of climate change, while the assumes no climate change (for comparison).

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
The IMPACT model was used to evaluate impacts of climate change on aggregate food production, food consumption (kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits from close interactions with scientists across CGIAR and other leading global economic modeling efforts around the world through the Agricultural Model Intercomparison and Improvement Project (AgMIP).
This dataset summarizes results from the latest IMPACT projections to 2030 and 2050, for a scenario that includes the impacts of climate change and a “baseline” scenario that assumes no climate change (for comparison). These results update previous projections by showing aggregations to six regions: Central and West Asia and North Africa; Eastern and Southern Africa; Latin America and the Caribbean; South Asia; Southeast Asia; West and Central Africa; and the rest of the world.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
The IMPACT model was used to evaluate impacts of climate change on aggregate food production, food consumption (kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits from close interactions with scientists across CGIAR and other leading global economic modeling efforts around the world through the Agricultural Model Intercomparison and Improvement Project (AgMIP).
This dataset summarizes results from the latest IMPACT projections to 2030 and 2050, for a scenario that includes the impacts of climate change and a “baseline” scenario that assumes no climate change (for comparison). These results update previous projections by showing aggregations to six regions: Central and West Asia and North Africa; Eastern and Southern Africa; Latin America and the Caribbean; South Asia; Southeast Asia; West and Central Africa; and the rest of the world.

× Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
The IMPACT model was used to evaluate impacts of climate change on aggregate food production, food consumption (kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s core is a partial equilibrium, multimarket economic model that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits from close interactions with scientists across CGIAR and other leading global economic modeling efforts around the world through the Agricultural Model Intercomparison and Improvement Project (AgMIP).
This dataset summarizes results from the latest IMPACT projections to 2030 and 2050, for a scenario that includes the impacts of climate change and a “baseline” scenario that assumes no climate change (for comparison). These results update previous projections by showing aggregations to six regions: Central and West Asia and North Africa; Eastern and Southern Africa; Latin America and the Caribbean; South Asia; Southeast Asia; West and Central Africa; and the rest of the world.

× IFPRI in collaboration with UNICEF and WFP conducted a study of the effectiveness of food and cash transfers linked to participation in an Early Childhood Development (ECD) program in Uganda. This evaluation is part of a multicountry study to assess the relative impact of food and cash transfers on food security, nutrition, and other measures of human capital. The Uganda case study had two main objectives. First, it estimated the relative impact and cost-effectiveness of cash and food transfers on household food security. Second, it measured the impact and cost-effectiveness of cash or food transfers, joint with child participation in the ECD centers, on child development and nutrition.

The Uganda ECD study was designed as a prospective, cluster-randomized control trial, in which treatment households would receive seven transfers of food or cash on approximately 6-week distribution cycles, conditional on having a child aged 3-5 years participating in an ECD center. The value of each transfer was 25,500 UGX (approximately $10.25) for both food and cash. The intervention started in April 2011, with a baseline survey conducted in Sep-Nov 2010 and an endline survey conducted in Mar-May 2012. The study used four survey instruments in each survey round: 1. Household questionnaire; 2. Child assessment and anthropometry; 3. ECD caregiver questionnaire; and 4. Community questionnaire. The household questionnaire collected detailed household-level information on socioeconomic characteristics and uses of resources, as well as individual-level information including ECD participation, education, and health. The child assessment and anthropometry questionnaire measured child development, anthropometric outcomes, and (only at endline) hemoglobin levels for selected children in the household. The ECD caregiver questionnaire collected information on characteristics of the ECD center’s primary caregiver, experiences running the ECD center, and the ECD center itself. The community questionnaire included information on socioeconomic and demographic characteristics of the community, its access to infrastructure, and a market survey.

× IFPRI in collaboration with UNICEF and WFP conducted a study of the effectiveness of food and cash transfers linked to participation in an Early Childhood Development (ECD) program in Uganda. This evaluation is part of a multicountry study to assess the relative impact of food and cash transfers on food security, nutrition, and other measures of human capital. The Uganda case study had two main objectives. First, it estimated the relative impact and cost-effectiveness of cash and food transfers on household food security. Second, it measured the impact and cost-effectiveness of cash or food transfers, joint with child participation in the ECD centers, on child development and nutrition.

The Uganda ECD study was designed as a prospective, cluster-randomized control trial, in which treatment households would receive seven transfers of food or cash on approximately 6-week distribution cycles, conditional on having a child aged 3-5 years participating in an ECD center. The value of each transfer was 25,500 UGX (approximately $10.25) for both food and cash. The intervention started in April 2011, with a baseline survey conducted in Sep-Nov 2010 and an endline survey conducted in Mar-May 2012. The study used four survey instruments in each survey round: 1. Household questionnaire; 2. Child assessment and anthropometry; 3. ECD caregiver questionnaire; and 4. Community questionnaire. The household questionnaire collected detailed household-level information on socioeconomic characteristics and uses of resources, as well as individual-level information including ECD participation, education, and health. The child assessment and anthropometry questionnaire measured child development, anthropometric outcomes, and (only at endline) hemoglobin levels for selected children in the household. The ECD caregiver questionnaire collected information on characteristics of the ECD center’s primary caregiver, experiences running the ECD center, and the ECD center itself. The community questionnaire included information on socioeconomic and demographic characteristics of the community, its access to infrastructure, and a market survey.

× In April 2011, the World Food Program (WFP) expanded its assistance to address the food security and nutrition needs of Colombian refugees and to support their integration into Ecuadorian communities. The new program was designed as a prospective randomized control trial and consisted of six monthly transfers of cash, food vouchers, or food to Colombian refugees and poor Ecuadorian households. The objectives of the program were three-fold: 1) to improve food consumption by facilitating access to more nutritious foods, 2) to increase the role of women in household decision-making related to food consumption, and 3) to reduce tensions between Colombian refugees and host Ecuadorian populations. The program was implemented in seven urban centers in the provinces of Carchi and Sucumbíos.
IFPRI conducted an impact evaluation targeted at estimating the relative impact and cost-effectiveness of cash, food vouchers, and food transfers on household food security indicators; as well as complimentary indicators such as household expenditure and female status.

× In April 2011, the World Food Program (WFP) expanded its assistance to address the food security and nutrition needs of Colombian refugees and to support their integration into Ecuadorian communities. The new program was designed as a prospective randomized control trial and consisted of six monthly transfers of cash, food vouchers, or food to Colombian refugees and poor Ecuadorian households. The objectives of the program were three-fold: 1) to improve food consumption by facilitating access to more nutritious foods, 2) to increase the role of women in household decision-making related to food consumption, and 3) to reduce tensions between Colombian refugees and host Ecuadorian populations. The program was implemented in seven urban centers in the provinces of Carchi and Sucumbíos.
IFPRI conducted an impact evaluation targeted at estimating the relative impact and cost-effectiveness of cash, food vouchers, and food transfers on household food security indicators; as well as complimentary indicators such as household expenditure and female status.

× C’est la Vie! is an education edutainment TV series developed and produced by the Réseau Africain pour l’Education à la Santé (RAES), a Senegalese non-governmental organization with support from UN partners. C’est la vie! is specifically designed to address issues related to adolescents’ and women’s rights – including gender-based violence, sexual and reproductive health and maternal and child health. The plot revolves around everyday life in a maternal health clinic in Senegal and characters are based on extensive formative research. In 2019, the International Food Policy Research Institute (IFPRI) with partners including the University of North Carolina, MobiCiné and ASSMOR Consulting initiated an evaluation of season 1 of C’est la Vie! in rural Senegal. The evaluation was a cluster-randomized controlled trial (RCT) focusing on outcomes related to knowledge, attitudes and behaviors around gender-based violence, sexual and reproductive health and maternal and child health in Kaolack and Kolda regions.
This dataset is from the baseline survey conducted between November and December 2019 via in person interviews. In total, the survey includes 4,069 target females between the ages of 14 and 34 years old, 1,169 of their male partners, 4,061 households and 120 villages they reside in. The baseline data is part of a multi-round RCT following target women over time to assess the impact of C’est la vie! in rural Senegal.

× The Impact Evaluation of Food for Education (FFE) survey was conducted in Bangladesh in 2000 to evaluate the effect of a conditional transfer of food to poor families that was designed to increase school attendance. The survey covered 600 households in 60 villages in 30 unions in 10 thanas, and 110 schools in the same 30 unions from which the household sample was drawn. Ten thanas were first randomly selected with probability proportional to size (PPS), based on thana-level population data from the 1991 census, and two FFE unions and one non-FFE union were selected per thana. From each union, two villages were randomly selected with PPS using village-level population data from the 1991 census. Because the focus of the FFE program was on economically disadvantaged areas, the sample of non-FFE unions was also selected from neighboring economically disadvantaged areas. This means that the subsequent sample cannot be regarded as representative of rural Bangladesh as a whole, but it does broadly characterize the conditions in the poorest upazilas in the country. A complete census of the households was then carried out in each of the selected villages, and ten households that had at least one primary-school-age child (6 to 12 years old) were randomly selected in each village from the census list of households. The 2003 survey is also available from IFPRI's website at Comparing Food versus Cash for Education Program in Bangladesh.

× Undernutrition is widespread in Bangladesh. In 2011, according to the Bangladesh Demographic and Health Survey, 41.3 per cent of children under age five were stunted, 36.4 per cent were underweight, 15.6 per cent were wasted, and more than 50 per cent were anaemic. Prevalences were even higher among extremely poor households. Meanwhile, evidence from South Asia shows that high rates of economic growth and reduction in poverty have not led to similarly large reductions in undernutrition (see 1, 2, 3). These findings have suggested that improvements in income alone may not be sufficient to improve nutritional status. Extensive research has also shown that the critical window for nutritional interventions is during the "first thousand days" of life (see 4, 5), from the time when a child is in utero until about two years of age. Based on this accumulated evidence, growing attention has come to introducing nutrition interventions that target children's "first thousand days" alongside household poverty reduction programmes. In particular, there has been growing emphasis on nutrition interventions that aim to improve infant and young child feeding practices—through increasing nutritional knowledge of women who are pregnant, lactating, or likely to be pregnant in the future—as well as to improve the nutritional status of these women themselves.

× This dataset contains observations from 604 farmers interviewed in 2018 to study the impact of the use of Laser Land Leveller (LLL) in a severe drought struck region of India. LLL offers various advantages like precise land levelling, reduced time and water for irrigation, uniform distribution of water in fields, good germination, and growth of crops, etc. Thus, various studies have tried to examine the effectiveness of LLL using an ex-ante assessment but in this study, we try to evaluate the impact of LLL on farmers’ livelihood using an ex-post analysis in Raichur district of India.

× Establishment of demonstration plots on improved crop varieties (maize, groundnuts, soybeans and beans) and best-bet agronomic pratices and soil and water conservation practices in Babati, Kongwa, kiteto, Mvomero, Mbozi, Kilosa and Kilolo in Tanzania. Training of lead farmers and extension staff to empower them with knowledge on improved technologies so that they can also train others. This study contains data from different cereal legume rotation systems in northern Ghana. Project title: Enhancing Partnership among Africa RISING (AR), NAFAKA and TUBORESHE CHAKULA (TUBOCHA) Programs for Fast-Tracking Delivery and Scaling of Agricultural Technologies in Tanzania. Project abstract: This project is implemented in partnership between Africa RISING research team and NAFAKA and focuses on scaling of agricultural technologies that include deployment of improved maize varieties and legumes (beans, soybean, groundnuts), deployment of improved water and soil conservation practices and improved good agricultural practices in Babati, Kongwa, Kiteto, Kilosa, Mvomero, Mbozi and Kilolo districts of Tanzania. The project is implemented by CIMMYT, IITA, CIAT, ICRAF, ARI-Hombolo, AMINATA Quality Seeds compnay, Meru Agro-Tours and Cosultants seed company, NAFAKA and Selian Agricultural Research Institute. Project website: http://africa-rising.net

× Napier grass Accessions intercroped with legumes Agronomic and growth data. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/improved-forages

× Napier grass Accessions intercroped with legumes Agronomic and growth data. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/improved-storage-processing-and-utilization-crop-residues-for-ruminants

× The E-FooD Dataset provides income and price elasticities of food demand in developing countries. The elasticities are derived from food demand system estimations, using representative household survey data. The elasticities are available by income quintiles in rural and urban areas. The dataset will be updated periodically to include more countries and survey rounds.

× This data is from a study conducted on informal food retail in three of Ghana’s cities – Accra, Kumasi and Tamale. The aim of the survey is to gather information on the livelihoods of these traders, the challenges they face, and the governance constraints they encounter, especially those selling different types of food products. Interviews with 1,214 informal food vendors – 474 in Accra, 516 in Kumasi, and 310 in Tamale – across 4-7 markets in each city, allow for a better understanding of the role of informal food vendors as a key component of agricultural transformation and food security, while also examining how their treatment by government officials affects their own food security and their ability to facilitate agricultural transformation. The survey is split into 11 survey modules:
Sampling (SA) – preliminary characteristics of the informal food trader
General Information (ID) – basic demographic, educational and household background information
Employment (EM) – details on current job
Business (BS) – information on business management and the associated fees paid to operate
Taxes and Fees (TX) – range of fees and taxes paid and the benefits received from those payments
Government Engagement (GE) – type and level of interaction between government officials and food traders
Food Safety and Food Security (FS) – awareness of food safety and source of personal food
Service Delivery and Accountability (SD) – services offered in the market and who could best deliver them
Public Participation and Associational Membership (PP) – involvement in different associations and participation in public and community affairs
Household Welfare (HW) – details on household assets and services
Final (FI) – enumerator observations

× This data is from a study conducted on informal food retail in two of Nigeria’s secondary cities, Calabar and Minna. The aim of the survey is to gather information on the livelihoods of these traders and the governance constraints they encounter outside of the region’s capital and primate cities. Interviews with 1,097 informal food vendors – 530 in Calabar and 567 in Minna – across nine markets in each city, allow for a better understanding of the role of informal food vendors in secondary cities as a key component of agricultural transformation and food security, while also examining how their treatment by government officials affects their own food security and their ability to facilitate agricultural transformation.

The survey is split into 11 survey modules:
1. Sampling (SA) – preliminary characteristics of the informal food trader
2. General Information (ID) – basic demographic, educational and household background information
3. Employment (EM) – details on current job
4. Business (BS) – information on business management and the associated fees paid to operate
5. Taxes and Fees (TX) – range of fees and taxes paid and the benefits received from those payments
6. Government Engagement (GE) – type and level of interaction between government officials and food traders
7. Food Safety and Food Security (FS) – awareness of food safety and source of personal food
8. Service Delivery and Accountability (SD) – services offered in the market and who could best deliver them
9. Public Participation and Associational Membership (PP) – involvement in different associations and participation in public and community affairs
10. Household Welfare (HW) – details on household assets and services
11. Final (FI) – enumerator observations

× This input data set for the IMPACT model was specifically created for a study on the interdependencies between land and water resources, agricultural production and environmental outcomes in Latin America and the Caribbean. The data set contains baseline levels of land use, livestock production, water infrastructure, and trade parameters; as well as future scenarios of cultivated area growth, pasture area growth, and fertilizer intensity application.

× This dataset is generated from the study conducted to evaluate the impact of improved Napier grass and maize stover based diets on milk yield under smallholder conditions. Farms were used as experimental units and lactating cows were used as replicates. 23 farmers from six villages participated in the trial. 24 lactating cows with two genotypes (local and improved cattle) were selected and were fed with Napier grass or maize stover based diets supplemented with bean haulms at different levels (100, 80, 70, and 60%). Data were collected for 45 days with a 7-day adjustment. Data included information on breed type, fodder, supplementation type, pre-study fodder type, milk production, lactation length, source of feed, and feed and water intake among others.

× We conduct a scoping study to establish determinant sociological, infrastructural, biological, and agronomic factors that currently affect vegetable production and offer scope for future vegetable production in the study area. Project title: Research in Sustainable Intensification in the Sub-Humid Maize-Based Cropping Systems of Babati, Tanzania Project abstract: Scoping study to assess current status and future potential, increase awareness and develop partnerships for action research, technology development, and capacity building. Project website: http://africa-rising.net

× Project title: Research in Sustainable Intensification in the Sub-Humid Maize-Based Cropping Systems of Babati, Tanzania. Project abstract: We undertake a profitability analysis of the incremental changes in existing practices by farmers in comparison with standard farmer practices so as to enable farmers to visualize the economic benefits of the proposed technologies including vegetable-cereal intercropping and crop rotation trials for new technology adoption. Project website: http://africa-rising.net

× This research was undertaken aiming to improve farm fied productivity and profitability in Mali. In this research, demonstration trials were implemented by farmer's communities in collaboration with the local non-government organization L?Association Malienne d?Eveil au D?veloppement Durable (AMEDD). Vegetable biodata were collected for Bougouni and Koutiala of Mali and Northern, Uppereast and Upperwest regions of Ghana. Project title: Research Program on Soil & Water Management. Project abstract: As part of the Feed the Future Initiative, the United States Agency for International Development (USAID) is supporting an innovative multi-stakeholder agricultural research program, the Africa Research in Sustainable Intensification for the Next Generation (Africa RISING). The program?s main objective is to identify and validate scalable options for the sustainable intensification of key African cereal-based farming systems to increase food production and improve the livelihoods of smallholder farmers and at the same time conserve or improve the natural resource base. Project website: http://africa-rising.net

× The optimal design of informal contracts in agricultural value chains depends on when farmers prefer to be paid for their output. While the evidence from the time
preference experiments suggests a preference for early payments, ?eld studies often indicate that farmers will defer regular payments if given the opportunity. In this study, we explicitly test whether farmers are more patient regarding regular, earned income than regarding experimental windfall payments. We asked farmers in a dairy cooperative in Kenya to allocate both their milk income and a one-time gift between an early and a deferred payment date. We ?nd that a large majority of participants deferred their milk payments, while rarely choosing to defer the gift. Participants� survey responses suggest that we observe this di?erence because of mental accounting: participants earmarked their regular milk payments, but not the gift, to save for bulky expenditures. We conclude that deferred payments can provide value to producers by functioning as a savings device, even when decisions over windfall income suggest a preference for early payments. We are sharing the data collected through this experiment as well as our do-files for replication and further analysis purposes.

× This data study includes Iraq Social Accounting Matrix (SAM) for the year 2011. The SAM includes 15 agricultural sectors (including livestock), 2 mining sectors (oil and rest), 3 industrial sectors, and 6 service sectors. This database draws information on income, expenditure and labor from Iraq Household Socio-Economic Survey (IHSES) and separates out households into 12 groups and production factors into 10 groups. The households are classified based on the gender of the household head , per capital expenditure quintiles of the households, and whether the household resides in rural or urban area. Similarly, production factors were dis-aggregated into 6 categories of labor ( 3 levels of skill and gender), 3 types of capital (agriculture, oil and rest) and land. This SAM gives the detailed representation of Iraqi economy and is an ideal database for conducting further analysis such as economy wide impact assessment, multiplier analysis, and trade flow.

× Feed shortage and poor quality of available feeds are major constraints for livestock production in the highlands of Ethiopia. A trial was conducted to assess if producing irrigated oat-vetch fodder during the dry period could adequately supplement the diet of fattening sheep and generate additional income for smallholders. For this purpose, a group of interested farmers from two districts (Lemo and Angacha) in southern Ethiopia were sensitized and trained to produce oat-vetch fodder with irrigation using water from shallow wells as well as manual pumps. A total of 14 farmers participated in the trail with each farmer fattening 5 sheep for about 70 days by supplementing approximately 200 g dry matter oat-vetch fodder per day. This dataset contains the body weight development of the sheep and the nutritional composition of local feed resources and the supplemental irrigated fodder used for the experiment.

× The Land Tenure, Agricultural Productivity and the Environment: Suba and Laikipia Districts, Kenya, 2001 dataset accompanies a study that examines the relationships between the land tenure, agricultural productivity, and the environment in order to provide the necessary policy guidelines to the Government and other stakeholders. The study was carried out in two districts, Suba and Laikipia. It is believed that these two districts provide a wide range of tenure systems, cultural backgrounds and agro-ecological diversities on which reasonable policy conclusions can be made. Specific objectives of this study were: Establish the relationship between security of tenure and agricultural productivity; Identify and establish the link between security of tenure and investment in environmental conservation and soil fertility enhancement and maintenance; Establish the link between tenure system and environmental degradation; and Analyze gender relations, land tenure and productivity. The dataset contains information on household characteristics such as household income, occupation, socioeconomic background, land characteristics such as parcel size, sale of land, security of access to land, and others including environmental degradation, conservation measures, hired labor, livestock ownership, infrastructure, and access to credit. The survey was undertaken in 4 sub-locations per district. These were randomly selected from a cluster of 10 sub-locations in each district. Each of these clusters was expected to have almost the same agro-ecological conditions with a wide range of tenure systems. In each selected cluster, a list of the household heads were compiled. The target respondents were then randomly selected from this list. A total of 40 respondents was randomly selected from each cluster (sub-location).

× The data for this study comes from a survey of rural households in Machakos and Taita-Taveta Districts. Four sub-locations were chosen in each district on the basis of terracing density and physical infrastructural endowments such as road network. Two sublocations with higher terracing density but with higher and lower physical infrastructural endowments were selected in each district. Likewise, two sublocations with lower terracing density but with higher and lower physical infrastructural endowments were also selected. A village was then selected randomly from each of the sub-locations. The survey through the use of a structured questionnaire then commenced in each district with about 40 households in each village, chosen randomly also. In addition to this, village profiles using focused group discussions were carried out. The overall objective of the study was to investigate, analyze, and document farm level social capital in marginal areas and evaluate its effects on soil conservation investments, resource use patterns and agricultural productivity with consequent food security implications. The specific objectives were: To study and characterize social capital. To investigate whether differential social capital influence farm level soil and water conservation investments. To investigate whether there is a link between social capital, resource use and agricultural productivity.

× The data included in this study were collected as a part of 'situation analysis' based on landscape characteristics and condition. The data were collected in four Africa RISING sites?Basona, Michew, Jawe, and Sinana?across four regions simultaneously with the soil sampling exercise.

× Land and water management practices like that of contour bunding, drip irrigation and shallow wells have been implemented by farmers over time in southern Mali. Farmers use these practices to improve yield performance and increase the household income. The impact of land and water management practices will be evaluated on two major staple food crops (sorghum and maize) grown in two agro-ecologies of southern Mali. The data collected will be augmented with data collected in 2015 and 2016. In the current year, data will be collected from the four established technology parks in Bougouni and Koutiala.

× The dataset is meant for developing fertilizer management decision support tool for an effective crop-nutrient management. The dataset is developed on the basis of landscape targeting on-farm trials on crop-nutrient response and crop yield gap assessment across the Africa Rising target districts and other scaling up locations in the Ethiopian highlands.

× Feed shortages during the cropping season constrain to livestock production in small-scale crop-livestock systems in northern Ghana. The effect of stripping the lower leaves of maize at tasseling and silking to feed livestock on grain and stover yields of maize was tested over two years in northern Ghana.

× The Lesotho Social Accounting Matrix (SAM), 2007 is constructed using data that available during the second half of 2011. The SAM provides a detailed representation of the Lesotho economy. It separates 24 activities and 23 commodities; labor is disaggregated by 3 broad skill groups (high, medium and low); and households into 6 groups based on the rural/urban and income earning status of the household head. The SAM is a useful database for conducting economy-wide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× This dataset is from a study conducted on taxation and service delivery in Lusaka’s informal markets. Over 800 informal workers in 11 of Lusaka’s markets were interviewed in order to address two main questions: 1) What drives tax compliance among informal workers? 2) Does paying taxes affect demands for political representation among informal workers in the same way that political economy scholarship has found for the broader citizenry? To answer these questions and explore the potential reasons for low compliance, the survey is composed of 9 modules:

Sampling (SA) – preliminary characteristics of the informal trader
General Information (ID) – basic demographics, educational and household background information
Tax Attitudes (TX) – range of fees and taxes paid and the benefits received from those payments
Service Delivery and Accountability (SD) – services offered in the market and who could best deliver them
Public Participation and Associational Membership (PP) – involvement in different associations and participation in public and community affairs
Value Chains (VC) – source, frequency, and method of payment for merchandise sold
Social Protection (SP) – plans made for retirement or difficult times
Household Welfare (HW) – details on household assets and services
Final (FI) – enumerator observations

× This study contains data on indicators of nutritional status such as weight for height based on the framework of baseline assessments and methods developed for an agriculture technology-transfer project in southern Mali.

× The project tested different spatial maize/pigeon peas arrangements in the field with already recommended varieties that are differentiated by maturity periods (which affect canopy interactions). The maize varieties included PAN 691, a long maturing maize variety, Mkombozi, an early to medium maturity high yielding maize variety, and SC 627, an early maturing variety. These were intercropped with pigeon peas variety Mali from ICRISAT, a long maturing and high yielding variety that was considered new in the study sites. Project title: Research in Sustainable Intensification in the Sub-Humid Maize-Based Cropping Systems of Babati. Project abstract: Promoting sustainable intensification through efficient application of a local source of phosphorus (Minjingu PR). Project website: http://africa-rising.net

× Many developing-country farmers cultivating vegetatively propagated crops (VPCs)—crops such as cassava, potato, sweetpotato, and yam—face constrained access to quality planting material. This challenge is distinct from the challenges facing cereal crops, and is associated with both the unique biological and economic nature of vegetative propagation. Although technological solutions exist, there are other limiting factors relating to policies, institutions, and markets that shape VPC seed systems, e.g., quality assurance mechanisms, certification regulations, sanitary and phytosanitary standards, and plant variety protection.

This research project aims to provide actionable evidence on policy and investment options to accelerate seed system and market development in countries where VPCs are important to food security and agricultural development. By taking a collaborative and multidisciplinary approach to the research, the project (1) analyzes current policy initiatives and success factors underpinning models that incentivize cost-effective multiplication and distribution of VPC seed to smallholders; and (2) develops a set of crop-specific case studies in Kenya, Nigeria, and Vietnam that encourage closer consideration of more appropriate policy options. This document provides a brief summary of the project and accompanies the key informant interview guides to collect data for analysis purposes.

× As part of the US government's Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting three multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR) program. The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Tanzania, Malawi, Ethiopia and (potentially) Zambia. In Malawi, the project (led by IITA) will be supporting cereal-based Farming Systems. 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 Malawi, IFPRI contracted Invest in Knowledge Initiative (IKI) to conduct baseline household and community surveys in Ntcheu and Dedza districts. Ntcheu and Dedza are the two districts in which participatory action r

× Several initiatives in Malawi have sought to strengthen the processes through which the design and content of policies, strategies, and programs in the agriculture sector that affect the nation’s food security are established. A two-part study was done under the New Alliance Policy Acceleration Support: Malawi Project (NAPAS: Malawi) to assess the quality of these policy processes and the institutional framework through which they are conducted and how perceptions of their quality have changed over time. The study is based on a two-round survey of national stakeholders in Malawi on issues centered on agriculture or food security that was conducted in 2015 and 2017/18.

This study contains data from the endline survey. The endline survey was conducted in late 2017 and early 2018. The 86 individuals who made up the analytical sample for the baseline survey were contacted again and asked to complete an online questionnaire that replicated three of the five modules from the baseline survey. In total 55 respondents, while the other 12 endline survey respondents were replacements for baseline survey respondents who no longer participate in agriculture and food security policy processes in Malawi. These replacements generally were the current holders of the institutional positions held by the earlier baseline survey respondents.

The endline survey consists of three modules.

Respondent details; influence of institution within policy processes
Opinion on quality of agriculture and food security policy processes in Malawi
Opinion on quality of institutional architecture for agriculture and food security policy processes in Malawi

× Several initiatives in Malawi have sought to strengthen the processes through which the design and content of policies, strategies, and programs in the agriculture sector that affect the nation’s food security are established. A two-part study was done under the New Alliance Policy Acceleration Support: Malawi Project (NAPAS: Malawi) to assess the quality of these policy processes and the institutional framework through which they are conducted and how perceptions of their quality have changed over time. The study is based on a two-round survey of national stakeholders in Malawi on issues centered on agriculture or food security that was conducted in 2015 and 2017/18.

This study contains data from the baseline survey. The baseline survey was administered between June and August 2015 to a purposively selected survey sample made of about 100 national level stakeholders in these policy processes. These individuals were asked to complete an online questionnaire that captured their opinions on a range of questions related to the quality of agriculture and food security policy processes at the national level in Malawi. At the end of the baseline survey administration period, responses had been obtained from 86 individuals.

The baseline survey consists of five modules: 1)Respondent details; influence of institution within policy processes; 2)Opinion on quality of agriculture and food security policy processes in Malawi; 3) Opinion on quality of institutional architecture for agriculture and food security policy processes in Malawi; 4) Factors that affect agenda-setting within policy processes on agriculture and food security issues and the design of the policies or programs considered; 5)Participation by respondent in agriculture and food security policy process events.

× The Complementary Panel Survey (CPS) is a continuation of the work undertaken by the Malawi Poverty Monitoring System (PMS) since 1997. Four rounds of the CPS were conducted between January 2000 and September 2002. The PMS itself was conceived as part of the Government of Malawi's Poverty Alleviation Programme (PAP) launched in 1994. The Policy Framework for PAP articulated the overall objective of the PMS as being to assist the government monitor poverty by collecting and analyzing data relevant to track progress in poverty reduction and to help guide the formulation of poverty alleviation policies and programs. The Malawi National Statistical Office, the National Economic Council (NEC) and the Center for Social Research of the University of Malawi along with the technical assistance of the International Food Policy Research Institute (IFPRI), a program encompassing the implementation of a regular detailed Integrated Household Survey (IHS) was designed. The resulting Complementary Panel Survey is based on the IHS sample and complementary to the IHS, and the poverty analysis of the data collected by the two survey programs. The IHS was to be conducted every three to five years, while the panel survey twice a year. The final sample size of the CPS in the first round was 758 households. The CPS dataset includes information on education; morbidity; food security and coping strategies; labour and employment; income, expenditures, and transfers. The questionnaire for the fourth round of the CPS was developed explicitly to allow a welfare indicator to be constructed that would be comparable to the welfare indicator developed in the poverty analysis of the 1997-98 Integrated Household Survey. This was necessary to allow the IHS data and poverty analysis to be linked to the CPS data in order to undertake an analysis of the dynamics of household welfare in the CPS sample between the IHS and the fourth round.

× The Land Resources Evaluation Project (LREP), which ran from 1988 to 1992, was a joint government of Malawi, United Nations Development Programme (UNDP), and Food and Agriculture Organization (FAO) project that involved a close reconnaissance of the agro-ecological resources of Malawi. Extensive fieldwork was done to map the soils across the country at the moderately detailed scale of 1:250,000 (1 cm = 2.5 km). Weather data were analyzed to generate averages for various indicators for use in mapping the agro-climatological zones of Malawi at the same geographic scale.
The soils and agroclimatic maps developed were then overlaid to develop a ‘land unit’ map for Malawi. Each land unit is defined by a unique combination of relatively homogeneous soil and climate properties within its boundaries. These land units were then used with information on the optimal soil and climate conditions for growing a range of rainfed agricultural crops, as well as irrigated rice and tree species, to undertake a spatial suitability analysis for the production of each in each land unit.
The soil survey mapping involved examining soil profiles from several thousand locations across the country between November 1987 and September 1991. The soil surveyors recorded information on the soil profiles and on individual horizons within the soil profiles on standard forms while they were in the field. The data collection forms in paper format were then archived by the Land Husbandry Branch (later renamed Land Resources and Conservation Branch). Soil samples were also collected for chemical analysis. Key professional personnel involved in the collection of the soil profile data included J.A. Eschweiler, S.J. Nanthambwe, S. Paris, J.H. Venema, A.J.M. Lorkeers, R.I. Green, A.E. Kandodo, P. Banda, Mr. Chikowi
Digital records of the soil profile data were not created under the LREP-Malawi project. In 1999, members of the Maize Commodity Team at Chitedze Agricultural Research Station, led by Todd Benson, created digital files of the LREP soil profile and horizon data from the paper field data forms. The majority of the data entry was done by Sophie C. Nambuzi, with assistance from Ivy Ligowe and Maction Komwa. The efforts of the team were generously assisted by Mr. Stephen J. Nanthambwe of the Land Resources and Conservation Branch, who was a participant in the original soil sampling exercise.

× The questionnaire was administered in three rounds between February and December, 1995, to 404 households in 45 villages in five districts: Dowa, Nkhotakota, Rumphi, Mangochi, and Dedza. About half of the sample participated in credit groups by the Malawi Rural Finance Company, Malawi Mudzi Fund, MOWCACDSW's credit program 'Promotion of Micro-Enterprises for Rural Women', and Malawi Union of Savings and Credit Cooperatives; the other half of the sample either previously participated in the former credit program of the Smallholder Agricultural Credit Administration or never participated in a formal credit program. Topics include household demographics; land tenure, agricultural production, and livestock ownership; asset ownership and transactions; food and non-food consumption; credit, savings, and gift transactions; wage and self-employment income and time allocation; anthropometric status of preschoolers and their mothers. The agricultural data cover the 1993/94 and 1994/95 seasons.

× The 1998 Malawi SAM includes 38 productive activities and three distribution activities (trade and transport margins). Of the 38 productive activities, the SAM includes 11 agricultural activities, 18 manufacturing activities and 9 service activities. The SAM also distinguishes between small-scale and large-scale activities in three of the agricultural sectors: tea, coffee, and other crops. There are 8 labor categories distinguished by type of occupation and level of education; two land factors (small-scale and large-scale); and three capital factors. Finally, the SAM distinguishes 14 household types, three enterprises accounts, two government accounts, an investment/saving account, and a rest-of-the-world account. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 69: (PDF 137K)

× This data study contains data on the intensification of common bean varieties at different altitudes in Malawi. Project title: Malawi: Dwarf and Climbing Bean Integration. Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project website: http://africa-rising.net

× This data study contains data on the intensification of production of soyabean, groundnut, cowpea and maize. Project title: Malawi: Grain Legumes Productivity in Different Crop Arrangements Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project website: http://africa-rising.net

× This data study contains data on milk yields from livestock. Project title: Africa RISING: Malawi Dairy Production. Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move toward more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project web site: http://africa-rising.net

× The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. Project title: AfricaRISING - Sustainable intensification of maize-legume-livestock integrated farming systems in East and Southern Africa. Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project website: http://africa-rising.net

× This data study contains data on the integration of pigeonpea in farming system for system resilience. Project title: Malawi: Pigeonpea Above and Below Ground Biomass Inputs. Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project website: http://africa-rising.net

× This study contains data from a survey about yield cuts in Malawi. Project title: Malawi: Yield Cuts Survey. Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project website: http://africa-rising.net

× This data study contains data on the village level rangeland biomass measurements. Project title: Mali Africa RISING: Agronomic Trials in Bougouni, 2013. Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. Project website: http://africa-rising.net

× This data study contains data on the trials on integrated intensification options for cereals and legumes in Bougouni (2013). Project title: Mali AfricaRISING: Biomass Assessment in Bougouni, 2013 Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. Project website: http://africa-rising.net/where-we-work/west-africa/

× This data study contains data on the farm characterization survey conducted in the villages of Sirakele, Sibirila, and Dieba. Project title: Africa RISING- Research in Sustainable Intensification of Cereal-Based Farming Systems in the Guinea-Sudan-Savanna of West Africa Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. Project website: http://africa-rising.net

× This data study contains data on the sheep feeding trials conducted in Yorobougoula, Sibirila, and Dieba in Mali. Project title: Mali Africa RISING: Integrated Intensification Options for Livestock Feeding Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. Project website: http://africa-rising.net

× As part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting three multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR) program. The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Ethiopia, Tanzania, Malawi, Mali, and (potentially) Zambia. In West Africa, IITA works with multi-disciplinary R4D partners in selected communities located in Northern Ghana and Southern Mali. More particularly, in Southern Mali the AR-WA project focuses on sorghum-millet-legume-vegetable-livestock systems in the Bougouni, Yanfolila and Koutiala districts, which are situated in the Sikasso region. The Africa RISING partners in Mali include several international institutions: the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), the International Livestock Research Institute (ILRI), the Asian Vegetable Research and Development Center (AVRDC), the International Center for Research in Agroforestry or World Agroforestry Center (ICRAF); as well as local partners: L’Association Malienne d’Eveil et de Développement Durable (AMEDD), L'Association Malienne pour la Sécurité et la Souveraineté Alimentaires (AMASSA), Mouvement Biologique du Mali (MOBIOM).

× This case study took place in Niafunké in northern Mali where the International Fund for Agricultural Development (IFAD) has an agricultural development project, the "Projet du Développement de la Zone Lacustre". The site was selected in order to represent food security issues in West African semi-arid and arid environments as well as to represent a francophone country. These data consist of a four round survey of 275 households in 10 villages within the Zone Lacustre, collected in 1997 and 1998. In each survey round, men and women were interviewed separately. Each survey covered the household composition, migration, possessions, agricultural production, nonagricultural income, objective and subjective food consumption measures, and nonfood expenditures. Additional questions on poverty perception and nutritional knowledge, practices, and attitudes were asked in the second, third, and fourth round.

× This study contains data about mapping prevalence, incidence, and severity of MLN in northern Tanzania. Project title: Integrated Approaches to Manage Maize Lethal Necrosis (MLN) Disease in Tanzania Project abstract: Mapping prevalence, incidence and severity of MLN in northern Tanzania. Project website: http://africa-rising.net

× This dataset contains observations from 478 households interviewed in 2011 and 2012 as part of a study titled “Market segmentation strategies for the dissemination of new agricultural production technologies in India.” The data were collected as part of a demand elicitation exercise and randomized control trial of custom-hired laser land leveling services provided to study participants. The study was conducted in the Maharajganj, Gorakhpur, and Deoria districts of eastern Uttar Pradesh, India under the auspices of the Cereal Systems Initiative for South Asia (CSISA). These three districts represent the regional spectrum of productivity in rice–wheat cropping systems. From each district, eight villages were randomly selected from a population of villages that met specific criteria set forth in the publications noted above. In addition to household data on the study participants, the dataset contains information on 926 plots cultivated by the study participants. Aside from household survey data, this study also contains data from village, social network, and monitoring surveys.

× International Food Policy Research Institute (IFPRI) in collaboration with the Savannah Agricultural Research Institute (SARI) of Council for Scientific and Industrial Research and Ministry of Food and Agriculture designed "Medium and Large-Scale Farmers and Agricultural Mechanization in Ghana" survey targeting large to medium scale farmers and tractor owners. The survey was aimed at characterizing the transition of smallholders farmers who have become medium- and large-scale commercial farmers in Ghana, assessing agricultural machinery ownership, and patterns of demand for agricultural mechanization among farmers in the country.

The survey covered a sample of 1843 farm households and contains data on their demography, farming history, land tenure security, farm land use, input use, crop production and tractor ownership among many others. This survey was designed to provide valid estimates at selected district level and not at regional or national level. Estimates generated from the survey data will be case study results for the sampled districts. Farm level and tractor ownership weight variables need to be used when generating these district estimates, otherwise any statistics without weights should be reported as sample statistics. Since small-scale farmers were not the primary focus of this survey, our random sample for this group is likely to have weak statistical power given that the sample was derived from the representative Ghana Agricultural Production Survey (GAPS) sample. Therefore, any comparison by farm size group should be done with caution and would require ex-post statistical power testing for the small-scale farmer's group.

× In 1997, the federal government of Mexico introduced the Programa de Educación, Salud y Alimentación (the Education, Health, and Nutrition Program), known by its Spanish acronym, PROGRESA, as part of its renewed effort to break the intergenerational transmission of poverty. Beginning early 1998, IFPRI at the request of PROGRESA conducted an evaluation of its major rural anti-poverty program. For more information about IFPRI's work with PROGRESA, see Targeted Interventions to Reduce and Prevent Poverty . The experimental design used for the evaluation of PROGRESA takes advantage of the sequential expansion of the program in order to come up with a set of localities that serve the role of controls. Specifically, the sample consists of repeated observations (panel data) collected for 24,000 households from 506 localities in the seven states of Guerrero, Hidalgo, Michoacan, Puebla, Queretaro, San Luis Potosi and Veracruz. Of the 506 localities, 320 localities were assigned to the treatment group and 186 localities were assigned as controls. The 320 treatment localities were randomly selected using probabilities proportional to size from a universe of 4,546 localities that were covered by phase II of the program in the 7 states mentioned above. Using the same method, the 186 control localities were selected from a universe of 1,850 localities in these 7 states that were to be covered by PROGRESA in later phases. In November 1997 PROGRESA conducted a survey of the socio-economic conditions of rural Mexican households (Encuesta de Caracteristicas Socioeconomicas de los Hogares or ENCASEH) in the evaluation communities to determine which households would be eligible for benefits. Then based on PROGRESA's beneficiary selection methods, households were classified as eligible and non-eligible for participation in the program in both treatment and control communities. The first evaluation survey (Encuesta Evaluation de los Hogares or ENCEL) took place in March 1998 before the initiation of benefits distribution in May 1998. In combination these two surveys provide the baseline observations available for all households before the initiation of the distribution of cash benefits in the treatment villages. The rest of the evaluation surveys were conducted after beneficiary households started receiving benefits from PROGRESA. One round of surveys took place in October/November 1998 (ENCEL98O), which was well after most households received some benefits as part of their participation in the program. The next two waves took place in June 1999 (ENCEL98M) and November 1999 (ENCEL99N). A number of core questions about the demographic composition of households and their socio-economic status were applied in each round of the survey. These core questions were accompanied by specific questionnaires, focused on collecting information critical to a thorough evaluation of the impact of the program. The topics of these modules included collecting information about family background, assets brought to marriage, schooling indicators, health status and utilization, parental attitudes and aspirations towards children's schooling, consumption of food and non-food items, the allocation of time of household members in various activities, and self-employment activities. The preceding surveys were supplemented by school and clinic surveys, community questionnaires, data on student achievement test scores, and other school and clinic administrative data. The evaluation surveys (ENCEL) collected by PROGRESA did not allow for an evaluation of the nutritional component of the program. For the purposes of evaluating the nutritional component of PROGRESA separate surveys of the same families were carried out by the National Institute of Public Health (INSP) in Cuernavaca. These surveys included collection of data on anthropometric measures (weight and height) data of children, collection of blood samples for tests for anemia and other deficiencies.

× This is a regionalized SAM of Mexico, which differentiates production across five regions, four rural and a fifth "national" urban region. The rural regions are differentiated by their agricultural production technologies. There are three households in each region, disaggregated by income level, for a total of 15 households. Each rural region has 6 agricultural production activities, which are destined to national commodity markets, plus one national livestock-forestry-fisheries sector. The urban region contains 14 other production sectors. Each rural region has its own agricultural labor and its own irrigated and non-irrigated land. The urban region employs 4 labor types: professional, white collar, blue collar and unskilled/informal. One capital factor is used by all regions. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 97: (PDF 260K)

× Project title: SIMLEZA-AR Project website: http://africa-rising.net

× Design and pilot processes and tools for monitoring and evaluating the impact of innovation platforms. To learn more about this dataset, please visit the ILRI Dataset Portal http://data.ilri.org/portal/dataset/innovation_platform_m_e

× This research aims to (1) monitor the market prices on quarterly basis in Bougouni and Koutiala, (2) make a comparative analysis of on-farm trials conducted in intervention zones of the project, (3) value chain analysis of main crops, and (4) make an adoption evaluation of technologies promoted by the project in Bougouni and Koutiala districts.

× This SAM is distinguished by an explicit separation of activities and households into rural and urban. It has a detailed treatment of aspects that are linked to the rural economy. Among the 45 activities, 38 are rural and 7 urban. Most rural sectors are part of crop or livestock agriculture. The non-agricultural sectors are classified as rural or urban. The SAM has 34 commodities, 14 factors of production, 4 households, a government account and two rest-of-the-world accounts, EU and non-EU. The distinction in the latter account permits an analysis of Morocco's regional trade (imports and exports) with the EU and the rest of the non-EU world. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 41

× Smallholder households in rural Mozambique are typically characterized by low agricultural productivity, which is in part caused by very low levels of usage of inputs. In the study area, in four districts of Nampula province, farmers are generally far from towns where agricultural input providers are based and formal banking services are available. In absence of these services, smallholders typically face liquidity constraints during the planting season when returns to input usage are the highest. In order to explore potential policy solutions to this challenge, the project combines training and incentives to use mobile money technology alongside targeted input marketing visits to promote formal saving strategies and increase take-up of basic inputs, primarily seeds and fertilizer. The goal of the pilot project was to determine whether combining group-level trainings in mobile money technology with targeted direct marketing could increase input usage, and consequently boost agricultural productivity. In collaboration with Vodacom, IFPRI organized a series of trainings, first at the individual level with farm group leaders carried out in Nampula city in June 2014. This was followed by group trainings at local sites to which all farm group members were invited in July-August 2014. Sampled households (irrespective of whether a member attended training) were then interviewed in August-September 2014. Input marketing visits were carried out by a local input provider, IKURU from October 2014-January 2015. A follow-up survey was then conducted in October-November 2015.

× The Mozambique Social Accounting Matrix (SAM), 2007 is built using the supply-use tables from national accounts, government budgets, and balance of payments, and so provides a detailed representation of the Mozambican economy. It separates 33 activities and commodities; labor is disaggregated by education level; and households by rural and urban per capita expenditure quintiles. Information on labor is drawn from the 2008/09 Household Survey. Finally, the SAM identifies government, investment and foreign accounts. It is therefore an ideal database for conducting economywide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× Smallholders in rural Mozambique are typically characterized by low agricultural productivity, which is in part caused by very low levels of input usage. In the study area, four districts of Nampula province, farmers are generally far from towns where agricultural input providers are based and formal banking services are not available. In absence of these services, smallholders typically face liquidity constraints during the planting season when returns to input usage are the highest. In order to explore potential policy solutions to this challenge, the project combines training and incentives to use mobile money technology alongside targeted input marketing visits to promote formal saving strategies and increase take-up of basic inputs, primarily seeds, and fertilizer. The goal of the pilot project was to determine whether combining group-level trainings in mobile money technology with targeted direct marketing could increase input usage, and consequently boost agricultural productivity.
In collaboration with Vodacom, IFPRI organized a series of trainings, first at the individual level with farm group leaders carried out in Nampula city in June 2014. This was followed by group trainings at local sites to which all farm group members were invited in July-August 2014. Sampled households (irrespective of whether a member attained training) were then interviewed in August- September 2014 (baseline survey). Input marketing visits were carried out by a local input provider, IKURU from October 2014-January 2015. A follow-up survey was then conducted in October-November 2015 (endline survey).
Both baseline and endline surveys are now available.

× This dataset is a supplemental data to Mozambique’s National Agricultural Survey (TIA) 2014. The purpose of the survey was to collect data on details of intra-household access to and control over land, land transfer (lease or inheritance) activities, household and farm-specific indicators of perceived tenure (in)security, and knowledge of the existing land law, which were not covered in TIA 2014. The survey covered a total of 3,556 households in seven (rural) provinces of Mozambique that were interviewed during TIA 2014.
A structured household questionnaire was used to collect household, plot, and individual level data. Questionnaire modules related with access to land, land related legal knowledge, intra-household bargaining power were administered separately for the head and spouse. Hence, a detail gender dis-aggregated data was used to analyze the role social and economic transformations play in dictating the perceived tenure security of individuals with varying social status by comparing the within- and across-household differential effects.

× The first round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,100 households–was implemented between December 2021 and February 2022. The objective of the survey was to collect data on a wide range of household and individual welfare indicators–including wealth, livelihoods, unemployment, food insecurity, diet quality, health shocks, and coping strategies–in a country exceptionally hard hit by conflict, severe economic collapse, and several damaging waves of COVID-19. The respondents interviewed in the MHWS were purposely selected from a large phone database aimed at being representative at the region/state level and urban/rural level in Myanmar. A novel sampling strategy in combination with the development of household and population weights allows for estimates that are nationally, regionally, and urban/rural representative.

× The Namibia Social Accounting Matrix (SAM), 2007 is constructed using data that available during the second half of 2011. The national SAM is built using 2007 National Accounts data for Namibia, UN National Accounts Official Country Data, OECD/ADB African Economic Outlook data, a 2004 SAM, UNComTrade data and WB Development Indicators. The SAM provides a detailed representation of the Namibian economy. It separates 24 activities and 25 commodities; labor is disaggregated by 3 skill groups; and households into 6 groups based on the rural/urban and income status of the household head. The SAM is a useful database for conducting economy-wide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× This study contains data that were collected to assess the status of vegetable seed production across Nepal. The data contains information from 600 households from 20 districts in Nepal. This dataset provides an in-depth look at vegetable seed systems and market in Nepal. The data collected includes information on household demography land utilization, plots cultivated and inputs used risk preference consumption and expenditure household income and assets shocks and agricultural credit. Information on the types of vegetables grown and farmers’ knowledge concerning the vegetable seeds they utilize for production is also included.

× This study contains data that were collected to assess the status of vegetable seed retailers and markets across Nepal. The data contains information from 98 retailers from 20 districts in Nepal. The data collected includes information on vegetable seed retailers inventory and purchases and buyers of vegetable seeds.

× The Nicaraguan Red de Protección Social (RPS), modeled after PROGRESA in Mexico, is a program designed to address both current and future poverty via cash transfers targeted to households living in poverty in rural Nicaragua. RPS comprised two phases over five years, starting in 2000. In order to assess whether the program merited expansion in the same or in an altered form, the Government of Nicaragua solicited various external evaluations of Phase I. The International Food Policy Research Institute (IFPRI) conducted the quantitative impact evaluation, using a randomized community-based design. The survey sample is a stratified random-sample at the comarca level from all 42 comarcas. The data originates from three phases of the survey, as well as the census and community surveys. The evaluation data are from an annual household panel data survey implemented in both intervention and control areas of RPS before the start of the program in 2000, and in 2001 and 2002 after the program began operations. The questionnaire was a comprehensive household questionnaire based on the 1998 Nicaraguan LSMS instrument, expanded in some areas (e.g., child health and education) to ensure that all the necessary program indicators were captured, but cut in other areas (e.g., income from labor and other sources) to minimize respondent burden and ensure collection of high-quality data in a single interview. An anthropometric module for children under age 5 was implemented in 2000 and 2002, but not in 2001. In this module, height (or length), weight, and hemoglobin were measured following standard international procedures.The community questionnaire was used to assess 1) whether the community has basic infrastructure, health, educational, postal services, and sources of credit; 2) other development programs present in the communities; and 3) economic events/shocks that have occurred.

× This study contains data originated from on-farm trials that were conducted to provide viable options to smallholder farmers to improve soil fertility and human nutrition, to increase biomass for fodder and groundcover and to enhance the resilience of current farming systems against the negative effects of climate variability and change. Green manures or cover crop were used as the option. The trials were conducted at farms in Chipata and Lundazi districts of the eastern province of Zambia. The following treatments were used for the trial: - Sole cropping maize; - Maize ? Pigeonpea intercropping; - Maize ? Pigeonpea intercropping with 60-day cowpea; - Maize ? Dolichos Lablab intercropping; - Maize/Gliricidia sepium/pigeonpea intercrop (year 1: groundnuts/Gliricidia; Year 2 soybean/pigeonpea/Gliricidia; year 3 - Maize/Pigeonpea/Gliricidia

× This study contains data originated from on-station trials that were conducted to evaluate the performance of green manure cover crops on crop productivity, and soil quality and residual effects. These trials were conducted at Msekera Research Station in Zambia. The following treatments were used. - Maize ? sole cropping; - Maize ? Pigeonpea intercropping; - Lablab ? sole cropping (in rotation with maize in year 2); - Maize ? lablab intercropping planted at the same time as maize; - Maize ? lablab intercropping planted 1 week later than maize; - Maize ? lablab intercropping planted 3 weeks after the maize; - Cowpea - sole cropping (in rotation with maize in year 2); - Maize - Cowpea intercropping planted at the same time as maize; The following were used as sub-treatments. - No fertilizer addition; - Application of 100kg ha-1 Compound D (10:20:10).

× The dataset contains baseline data of the impact evaluation in Burkina Faso of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Burkina Faso and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Burkina Faso by integrating two preventive interventions into the screening at monthly well-baby consultations offered at the health center:
(1) behavior change communication on essential nutrition and hygiene actions to improve child nutrition and health-seeking behavior, including for malnutrition;
(2) the provision of a small-quantity lipid-based nutrient supplement (SQ-LNS) to all children to increase intake of essential nutrients (and prevent undernutrition) and to incentivize caregivers to participate regularly in acute malnutrition screening.
The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains endline data of the impact evaluation in Burkina Faso of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Burkina Faso and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Burkina Faso by integrating two preventive interventions into the screening at monthly well-baby consultations offered at the health center:
(1) behavior change communication on essential nutrition and hygiene actions to improve child nutrition and health-seeking behavior, including for malnutrition;
(2) the provision of a small-quantity lipid-based nutrient supplement (SQ-LNS) to all children to increase intake of essential nutrients (and prevent undernutrition) and to incentivize caregivers to participate regularly in acute malnutrition screening.
The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains endline data (at the child platform level) of the impact evaluation in Burkina Faso of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Burkina Faso and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Burkina Faso by integrating two preventive interventions into the screening at monthly well-baby consultations offered at the health center:
(1) behavior change communication on essential nutrition and hygiene actions to improve child nutrition and health-seeking behavior, including for malnutrition;
(2) the provision of a small-quantity lipid-based nutrient supplement (SQ-LNS) to all children to increase intake of essential nutrients (and prevent undernutrition) and to incentivize caregivers to participate regularly in acute malnutrition screening.
The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains enrollment data of the longitudinal study of the impact evaluation in Burkina Faso of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Burkina Faso and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Burkina Faso by integrating two preventive interventions into the screening at monthly well-baby consultations offered at the health center:
(1) behavior change communication on essential nutrition and hygiene actions to improve child nutrition and health-seeking behavior, including for malnutrition;
(2) the provision of a small-quantity lipid-based nutrient supplement (SQ-LNS) to all children to increase intake of essential nutrients (and prevent undernutrition) and to incentivize caregivers to participate regularly in acute malnutrition screening.
The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains longitudinal data (child*month follow-up) of the impact evaluation in Burkina Faso of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Burkina Faso and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Burkina Faso by integrating two preventive interventions into the screening at monthly well-baby consultations offered at the health center:
(1) behavior change communication on essential nutrition and hygiene actions to improve child nutrition and health-seeking behavior, including for malnutrition;
(2) the provision of a small-quantity lipid-based nutrient supplement (SQ-LNS) to all children to increase intake of essential nutrients (and prevent undernutrition) and to incentivize caregivers to participate regularly in acute malnutrition screening.
The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains longitudinal data ( child*month*Platform follow-up) of the impact evaluation in Burkina Faso of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Burkina Faso and Mali. Using cluster randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Burkina Faso by integrating two preventive interventions into the screening at monthly well-baby consultations offered at the health center:
(1) behavior change communication on essential nutrition and hygiene actions to improve child nutrition and health-seeking behavior, including for malnutrition;
(2) the provision of a small-quantity lipid-based nutrient supplement (SQ-LNS) to all children to increase intake of essential nutrients (and prevent undernutrition) and to incentivize caregivers to participate regularly in acute malnutrition screening.
The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains baseline data of the impact evaluation in Mali of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Mali and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Mali by integrating small-quantity lipid-based nutrient supplement (SQ-LNS) into community-based screening for Acute Malnutrition.

The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains endline data at the child*Platform level of the impact evaluation in Mali of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Mali and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Mali by integrating small-quantity lipid-based nutrient supplement (SQ-LNS) into community-based screening for Acute Malnutrition.

The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains endline data (at the child level) of the impact evaluation in Mali of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Mali and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Mali by integrating small-quantity lipid-based nutrient supplement (SQ-LNS) into community-based screening for Acute Malnutrition.

The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains data collected at enrollment in the longitudinal study of the impact evaluation in Mali of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Mali and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Mali by integrating small-quantity lipid-based nutrient supplement (SQ-LNS) into community-based screening for Acute Malnutrition.

The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains follow-up (longitudinal study) data at the child*Month level of the impact evaluation in Mali of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Mali and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Mali by integrating small-quantity lipid-based nutrient supplement (SQ-LNS) into community-based screening for Acute Malnutrition.

The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The dataset contains follow-up (longitudinal study) data at the Child*Month*Platform level of the impact evaluation in Mali of the “Innovative Approaches for the Prevention of Childhood Malnutrition” (PROMIS) project, which integrated a preventive intervention package into Community Management for Acute Malnutrition (CMAM) programming in Mali and Mali. Using cluster-randomized designs, we evaluated the impact of integrating preventive services into screening for child acute malnutrition on acute malnutrition screening and treatment coverage and acute malnutrition prevalence and incidence. The PROMIS program sought to address the low screening coverage in Mali by integrating small-quantity lipid-based nutrient supplement (SQ-LNS) into community-based screening for Acute Malnutrition.

The intervention was implemented by Helen Keller International through the national health system. Data were collected by the International Food Policy Research Institute (IFPRI) in collaboration with AfricSanté.

× The questionnaire was administered in 14 rounds over five years to approximately 800 rural households. Topics include household characteristics and composition; anthropometry, child health and nutrition; land ownership and tenure; agricultural production and disposition by season; household expenditures on labor, factors of production, food and other nonfood elements; male and female labor use; time allocation of household members(male and female); household asset ownership; long and short term credits; livestock and poultry ownership and income; male and female nonfarm activities and income; women's fertility history; pensions, other transfer incomes, income from trade and crafts. Community/village level information were collected on crop yields, crop prices and irrigation water rate, the daily wage rate on farm and nonfarm activities, the price of essential food and nonfood items, the availability of public services in a village, rural education, migration and employment. Data were also collected on technology adoption and technical skills of wheat farmers, labor on different farm activities and returns to labor.

× The Pakistan Rural Household Panel Survey (PRHPS) 2013, Round 2 is the second round of the PRHPS; Round 1 was conducted in 2012. This survey aims to provide a quantitative basis to identify and address urgent economic development and policy priorities in Pakistan. Many modules and questions are consistent with the prior round. PRHPS Round 2 covers 2002 of the 2090 households surveyed during Round 1 in 76 primary sampling units in the rural areas of three provinces namely: (i) Punjab; (ii) Sindh; and (iii) Khyber Pakhtunkhwa (KPK). Information on 88 households could not be collected because they refused to respond, migrated or were not available. The sample is representative of the rural areas of Punjab and Sindh provinces, and of the rural areas in 11 of the districts in KPK province. The survey collected information on a large number of topics including sources of income, nature of employment, consumption patterns, time use, assets and savings, loans and credit, education, migration, economic shocks, governance, and participation in social safety nets. Four survey instruments were developed to collect this information. These included two household questionnaires (designed to collect individual- and household-level information from a main male and a main female respondent who were interviewed separately), a community questionnaire, and a price questionnaire.

× The Pakistan Rural Household Panel Survey (PRHPS) 2014, Round 3 is the third round of the PRHPS; Round 1 and 2 were conducted in 2012 and 2013 respectively. This survey aims to provide a quantitative basis to identify and address urgent economic development and policy priorities in Pakistan. Many modules and questions in Round 3 are consistent with the prior rounds. PRHPS Round 3 was able to collect complete data from 1,876 households in the rural areas of three provinces namely: (i) Punjab; (ii) Sindh; and (iii) Khyber Pakhtunkhwa (KPK).The sample is representative of the rural areas of Punjab and Sindh provinces, and of the rural areas in 11 of the districts in KPK province. The survey collected information on a large number of topics including sources of income, nature of employment, consumption patterns, time use, assets and savings, loans and credit, education, migration, women decision making, economic shocks, transfers in and out, health and nutrition, and participation in social safety nets. Four survey instruments were developed to collect this information. These included two household questionnaires (designed to collect individual- and household-level information from a main male and a main female respondent who were interviewed separately), a community questionnaire, and a price questionnaire.

× Pakistan Rural Household Panel Survey (PRHPS), 2012 is the 1st round of the Rural Household Panel Survey, which aims to provide a quantitative basis to identify and address urgent economic policy priorities. The RHPS covers 2090 households in 76 primary sampling units in the rural areas of three provinces namely: (i) Punjab; (ii) Sindh; and (iii) Khyber Pakhtunkhwa (KPK). The sample is nationally representative of the rural areas of the three provinces. This survey collected information on a large number of topics, such as sources of income, nature of employment, consumption patterns, time use, assets and savings, loans and credit, education, migration, economic shocks, participation in social safety nets, and household aspirations. Six survey instruments were developed to collect this information. These included three household-level questionnaires (two were designed to collect household information on various household and individual level aspect by males and females separately, and the third was an aspirations questionnaire, conducted on a household member between ages 18-35), a community questionnaire, a price questionnaire, and a school questionnaire.

× To study the efficiency of genetically modified cotton markets in Pakistan, a series of household surveys were designed and implemented in 2013. Aside from the four rounds of household surveys, the research team also designed a biophysical survey. The purpose of the biophysical survey was to measure the presence and expression level of Cry protein in farmers’ fields. The plot selected to collect tissue samples to be tested was the “main” cotton plot identified in the household surveys implemented in 2013-14.

The collection, tests, and analysis of the cotton tissue (leaves and bolls) was led by the University of Agriculture, Faisalabad (UAF), and the National Institute for Genomics and Advanced Biotechnology (NIGAB), Islamabad, in collaboration with International Food Policy Research Institute (IFPRI), and Innovative Development Studies. Two different tests were carried out. The first one was the strip test that test for the presence or absence of the Cry1Ac protein. The second was the enzyme-linked immunosorbent assay (ELISA) that quantifies the expression level of this protein. Two rounds of tests were conducted, the first at approximately 70 days after sowing (DAS) and the second at approximately 120 DAS. The resultant dataset combines information from 593 sampled households with corresponding plant tissue diagnostics from 70 DAS, as well as information from 589 sampled households with corresponding diagnostics from 120 DAS.

× The dataset "Pakistan Cotton Survey 2013, Round 1.1" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodying insect-resistance traits from the soil bacterium Bacillus thurigiensis (Bt) that have been conferred through genetic modification.

The survey was designed by the International Food Policy Research Institute (IFPRI) and implemented by Innovative Development Studies (IDS). It collected data on household, farm and plot characteristics of cotton growers. Data were collected in face-to-face interviews with 728 farmers who were selected in a statistically representative sample of all cotton-growing agroclimatic zones in both Punjab and Sindh Provinces, accounting for more than 99 percent of the cotton cultivated in Pakistan. The first round was implemented between March-May in 2013, soon after participants planted cotton.

× The dataset "Pakistan Cotton Survey 2013, Round 1.2" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodying insect-resistance traits from the soil bacterium Bacillus thurigiensis (Bt) that have been conferred through genetic modification.

The survey was designed by the International Food Policy Research Institute (IFPRI) and implemented by Innovative Development Studies (IDS). It collected data related to input use and pesticide poisoning symptoms up to the first picking of cotton. Round 1.2 was implemented between September-November in 2013, during or immediately following the first picking. Data were collected from the households sampled in Round 1.1. Of the original sample of 728 households, 46 chose not to grow cotton in kharif 2013, 70 lost their crops to flood or other natural disasters, four migrated and eight dropped out in the second- or third-round surveys.

× The dataset "Pakistan Cotton Survey 2014, Round 1.3" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodying insect-resistance traits from the soil bacterium Bacillus thurigiensis (Bt) that have been conferred through genetic modification.

The survey was designed by the International Food Policy Research Institute (IFPRI) and implemented by Innovative Development Studies (IDS). It collected data on the harvest from each picking and the total sales of cotton. Round 1.3 was implemented between January-February in 2014, immediately after the last harvest. Data were collected from the households sampled in Round 1.1. Of the original sample of 728 households, 46 chose not to grow cotton in kharif 2013, 70 lost their crops to flood or other natural disasters, four migrated and eight dropped out in the second- or third-round surveys.

× Pakistan Rural Household Panel Survey (PRHPS) 2012, Round 1.5 is a sub-sample consisting of agricultural households captured in Round 1 of the panel survey. It covers information of households, who either managed or cultivated agricultural plots, during the production year 2011-12, and two crop seasons, namely: (i) Kharif 2011; (ii) Rabi 2011-12. The survey gathers information on agricultural production (including inputs and outputs of crop and livestock production), agricultural water use, farm and household assets, access to extension services, climate change, credit, employment and income, household consumption and expenditures, and the linkage between pesticides and health. This survey covers 942 agricultural households in 76 primary sampling units in the rural areas of three provinces namely: (i) Punjab; (ii) Sindh; and (iii) Khyber Pakhtunkhwa (KPK). The sample is nationally representative of the rural areas of the three provinces. Data was collected using a questionnaire based on discussion among IFPRI, PSSP and IDS staff and feedback from enumerators.

× The dataset "Seed Dealer Survey" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodying insect-resistance traits from the soil bacterium Bacillus thurigiensis (Bt) that have been conferred through genetic modification. The purpose of the seed dealer survey and seed collection was to test the seed, through DNA fingerprinting, for purity and other traits (germination, moisture etc.).

The survey was designed by the International Food Policy Research Institute (IFPRI) and implemented by Innovative Development Studies (IDS). The sample selection of seed dealers involved three steps: i) identification of markets from where most of the survey households in our sample for the study purchase seeds; ii) preparation of a list of all cotton seed dealers in these identified markets; and iii) selection of five seed dealers in each market and collect samples of three top selling varieties.

The household survey identified that nearly 32 percent of the selected cotton growers purchased seeds from markets. These markets were located in 42 tehsils. Keeping in view the representation of all agroecological zones (AEZs) of cotton growing areas, 27 tehsil markets were randomly selected. A list of cotton seed dealers and cotton varieties that they purchased to sell in (kharif) 2015 were prepared in the selected tehsil markets. A cotton seed dealer is defined as a vendor of cotton seed. From the dealer listing, five seed dealers were selected randomly and subsequently top three selling cotton seed varieties per dealer were selected. In total, we had 135 seed dealers in our sample. A structured questionnaire was administered to collect information on the sale, purchase, and inventory of cotton seed varieties. Seeds of selected three cotton varieties were collected from each seed dealer. In total seeds of 404 cotton seed samples were collected. These samples were packed in bags and sent to the University of Agriculture, Faisalabad for DNA fingerprinting.

× In May – July, 2018, the International Food Policy Research Institute (IFPRI) implemented a rural household survey to investigate the food systems of rural households in four lowland areas of Papua New Guinea and how they assure sufficient food to meet the nutritional needs of their household members. The survey was implemented in East Sepik (Maprik), Sandaun / West Sepik (Nuku), and Madang (Middle Ramu) provinces (districts) and the Autonomous Region of Bougainville (ARoB - Buin and Siwai areas of Southern Bougainville). A total of 1,026 households were surveyed. The survey set out to achieve two goals: 1) use the household survey results to inform agricultural productivity, enhanced food security, child nutrition outcomes; and 2) collect baseline data for recently development programs supported by World Vision (WV). The rural household survey includes modules on:

1. Household characteristics (demographics, education, migration, etc.)
2. Agricultural production (crop production, use of household labor, etc.)
3. Household assets (production equipment and consumer durables, livestock ownership, and housing quality)
4. Income apart from own agricultural activities (wage employment, own business activities, and income transfers and gifts)
5. Consumption and expenditures (nonfood expenditures, food consumption, and dietary diversity)
6. Economic shocks and food insecurity (perceptions of poverty, recent food insecurity, and health and nutrition extension)
7. Gender roles and social expectations (asked separately for men and women)
8. Female health (pregnancy care and breastfeeding practices)
9. Child health (healthcare, vaccinations, and anthropometry)

× Quantitative data collected to understand the level of women farmers? participation in four agricultural research processes ? design, testing, dissemination, and M&E. Data were collected in four woredas (districts), within the Ethiopian highlands (i.e. Basona Worena, Sinana, Lemo and Endamehoni), located in the regions of Amhara, Oromia, Southern Nations Nationalities People (SNNP) and Tigray respectively. Data were collected from women farmers who participate in the Africa RISING project and those who did not participate in the project.

× This data study contains data related to participatory variety selection (PVS) and double cropping of cereals, broad beans, and potato. Project title: Second Agreement Africa RISING (Research in Sustainable Intensification for the Next Generation: ILRI Contract No. ASSP-14/2014 Project abstract: The Ethiopian highlands are characterized by cereal-food legume production system where the productivity is very low due to pests, poor agronomic practices and growing of unimproved cultivars. Potato is becoming an integral parts of the production system of the highlands. Sustainability of cereals (wheat and barley) and potato is maintained through regular rotation with food legumes in small and main rainy seasons of the highlands. During the implementation of Africa RISING (AR) in Bale highlands and other projects, it was possible to identify high yielding cereal, broad beans and potato cultivars that can provide high yield and contribute to food security. However, many varieties are not tested in all the four AR sites. Moreover, there are early maturing legumes that can be used in double cropping with cereal and potato to increase land productivity in the highlands. Most of the wheat, barley, potato and broad beans cultivars released are developed with little or involvements of farmers and hence there is a need to put these varieties under PVS where farmers? inputs will be considered. Therefore, this study/intervention is designed to evaluate cultivars of the four commodities following PVS approaches as well as testing double cropping to increase land productivity. Project website: http://africa-rising.net

× This dataset is generated from maize response trials (legume/maize rotation system) that were conducted in Linthipe EPA, Dedza district, and Ntubwi EPA in Machinga district in Malawi, 2019/2020 cropping season. In the previous season, certifies and recycled seed of different varieties of groundnut were grown. In the current season, maize was planted as a test crop.

× Peru potato middlemen survey is the study of the middlemen in the potato value chain in Lima. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Peru potato producer survey is the study of the producers in the potato value chain in Lima. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× Peru potato wholesaler survey is the study of the wholesalers in the potato value chain in Lima. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

× The questionnaire was administered in 4 rounds over two years to approximately 450 households. Topics include household information; parcels of land owned and cultivated; production of sugar, corn, rice, and other crops; agricultural wage labor; other sources of income; backyard production; assets; food and non-food expenditures; preschool feeding; health services and nutritional knowledge; time allocation; anthropometry and morbidity; and household food intake.

× This data set contains the 2003 and 2004 rounds of the Bukidnon Panel Survey, a survey spanning 19 years. Bukidnon is a landlocked province in the Philippines comprising 20 municipalities and two cities, Malaybalay and Valencia, on the island of Mindanao. The first rounds, in 1984 and 1985, collected data on food and nonfood expenditures, agricultural production, income, asset ownership, credit use, anthropometry and morbidity, education, and 24-hour food consumption recall. These rounds are also available from IFPRI’s website at http://www.ifpri.org/data/philippines01.htm. The 2003 and 2004 rounds, covering the originally sampled households and the households of children of the original householders – both those that live locally and migrants. The data cover similar topics as did the 1984/5 survey. These data are part of a rare long-term panel study that follows the migrant children of the households originally surveyed. They include sample and attrition weights, consumption and income aggregates, spatial data, and a good mapping of the 2003/4 rounds onto the 1984/5 rounds.

× The study draws on household survey data collected in 2000-2001. The survey was conducted in three hog producing cities in the provinces of Batangas and Laguna in Southern Luzon, Philippines. To understand why some smallholders participate in hog production and others do not, a total of 291 households were randomly identified from a stratified sample frame, of which 150 households were hog producers (including 50 small-scale contract farms) and 141 households were non-livestock raisers. The sampled smallholders are household-based backyard growers (who use their own capital and family labor) and/or semi-commercial growers (who employ hired labor and use external financing for livestock production) holding an inventory ranging up to 300 head of hogs at any given period. Some of the variables collected are: farm-specific output and inputs prices, quantity of output in kilograms liveweight, different types of activity, family and hired labor, value of breeding stock; value of buildings and equipment, different market outlets, household characteristics, access to information, credit, and veterinary services.

× This dataset serves to shed light on the feasibility of picture-based crop insurance (PBI), which is a new way of delivering affordable and easy-to-understand crop insurance, using farmers’ smartphone pictures to minimize the costs of loss verification. During the winter (Rabi) 2016-17 season, a formative evaluation of PBI in Haryana and Punjab, India invited 750 wheat producers to take regular pictures of selected wheat sites throughout the cultivation season.

To make the data from this formative evaluation publicly available, we are sharing a site-level dataset (with approximate GPS coordinates, precision of ~10km, and information on yields, damage visible in the pictures as assessed by experts, and whether data triggered insurance payouts) and a picture-level dataset (with information on the timing and frequency of pictures taken, as well as approximate GPS coordinates of pictures taken, precision of ~10km).

× This data study contains data on pigeonpea and soybean intensification through phosphorous fertilization. It contains data on cropping system, phosphorous level, treatments and variety of pigeonpea, and yields among many others. Project title: AfricaRISING - Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa Project abstract: The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past two decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts. Project website: http://africa-rising.net

× This study contains data generated from the on-station trial that was conducted to evaluate the various management methods that are being advocated in the region. The following treatments were used for this trial. - Sole maize continuous; - Full Pigeonpea/maize rotation - Maize + Pigeonpea full growth no ratooning; - Maize + Pigeonpea, uprooting at harvest and re-seeding every year; - Maize + Pigeonpea, ratooning at harvest and at seeding;- Maize + Pigeonpea, ratooning at harvest and 2 weeks after maize seeding; - Maize + Pigeonpea, ratooning at harvest and 3 weeks after maize seeding; - Maize + cut Pigeonpea from last season at ground level 2 weeks after maize planting and reseed; - Maize + delay planting of maize by a minimum of 14 days, cut Pigeonpea at base, reseed Pigeonpea with maize 14 days after the planting window.

× This dataset includes data generated from the on-station trial that was conducted to evaluate the various management methods that are being advocated in the Southern Africa region. The following treatments were used for this trial. - Sole maize continuous; - Full Pigeonpea/maize rotation; - Maize + Pigeonpea full growth no ratooning; - Maize + Pigeonpea, uprooting at harvest and re-seeding every year; - Maize + Pigeonpea, ratooning at harvest and at seeding; - Maize + Pigeonpea, ratooning at harvest and 2 weeks after maize seeding; - Maize + Pigeonpea, ratooning at harvest and 3 weeks after maize seeding; - Maize + Pigeonpea, strip harvest of pigeonpea pods (no ratooning), plant maize and pigeonpea at seeding time, cut pigeonpea at ground level 2 weeks after maize planting; - Maize + Pigeonpea, strip harvest of pigeonpea pods (no ratooning), delay planting of maize by a minimum of 14 days, cut pigeonpea at base, reseed pigeonpea with maize 14 days after the planting window.

× The Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems was one of four pilot studies undertaken as precursors to the Millennium Ecosystem Assessment. The study identifies linkages between crop production systems and environmental services such as food, soil resources, water, biodiversity, and carbon cycling, in the hopes that a better understanding of these linkages might lead to policies that can contribute both to improved food output and to improved ecosystem service provision. The PAGE Agroecosystems report includes a series of 24 maps that provide a detailed spatial perspective on agroecosystems and agroecosystem services. Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems Dataset offers the 9 geospatial datasets used to build these maps. The datasets are:; PAGE Global Agricultural Extent. The data describe the location and extent of global agriculture and are derived from GLLCCD 1998; USGS EDC1999a.; PAGE Global Agricultural Extent version 2. The data are an update of the original PAGE Global Agricultural Extent, based on version 2 of the Global Land Cover Characteristics Dataset (GLCCD v2.0, USGS/EDC 2000). The methods used to create this dataset were the same as those employed to create the original PAGE Global Agricultural Extent.; Mask of the Global Extent of Agriculture. This dataset displays the global extent of agricultural areas as defined by the PAGE study. The other datasets made available on this site (eg. tree cover, soil carbon, area free of soil constraints) only show values for areas within this agricultural extent.; PAGE Global Agroecosystems. These data characterize agroecosystems, defined as "a biological and natural resource system managed by humans for the primary purpose of producing food as well as other socially valuable nonfood products and environmental services."; Percentage Tree Cover within the Extent of Agriculture. This is a raster dataset that shows the proportion of land area within the PAGE agricultural extent that is occupied by "woody vegetation" (mature vegetation whose approximate height is greater than 5 meters).; Carbon Storage in Soils within the PAGE Agricultural Extent. The data give a global estimate of soil organic carbon storage in agricultural lands, calculated by applying Batjes' (1996 and 2000) soil organic carbon content values by soil type area share of each 5 x 5 minute of the Digital Soil Map of the World (FAO 1995).; Agriculture Share of Watershed. This dataset depicts agricultural area as a share of total watershed area. The share of each watershed that is agricultural was calculated by applying a weighted percentage to each PAGE agricultural land cover class.; Area Free of Soil Constraints. The data show the proportional area within the PAGE agricultural extent that is free from soil constraints. The area free of soil constraints is based on fertility capability classification (FCC) applied to FAO's Digital Soil Map of the World (1995).; Outline of Land and Water Area. These data are used to provide a boundary for land areas and facilitate the readability of maps.

× The 1998 to 2001 social accounting matrices for Tanzania incorporate the recently released input-output table (1992) and Labor Force (LFS) and Household Budget (HBS) surveys (both for 2000/01). The SAMs distinguish between 43 productive sectors (activities) and the 43 commodities that they produce. There are nine labor categories drawn from the LFS and disaggregated according to education and gender (including one category for child labor). The SAMs also include agricultural and non-agricultural capital and agricultural land. There are 12 household categories distinguished by (i) being urban or rural, (ii) being below, between or above the two national poverty lines, and (iii) the education level of the head of the household. These poverty-focused categories were chosen based on findings from the HBS. Other institutions contained in the SAMs include the rest of the world, the government, enterprises, and the savings-investment account.

× A study conducted by IFPRI in Haiti provided the first programmatic evidence, using a cluster randomized evaluation design, that preventing child undernutrition in children under two years of age (PM2A) through an integrated program providing food rations, BCC and preventive health and nutrition services is both feasible and highly effective. The study's principal aim was to compare a newly designed preventive approach with the traditional (recuperative) food assisted MCHN program approach, and therefore included only two comparison groups: one group of communities that was randomly assigned to the preventive approach and another group assigned to the recuperative approach. For logistical and financial reasons, the study did not include a randomized control group receiving no intervention.

× This study contains data based on investigations on technologies being used by farmers in Malawi as part of sustainable intensification. Project title: Africa Rising Malawi-Nutrition. Project abstract: The project focuses on profiling farmer innovations around legume technologies

× In 2014 the Government of Mali began implementing its “Filets Sociaux (Jigisémèjiri)” program that aims at reducing poverty and improving human capital accumulation through targeted cash transfers, accompanying measures (or trainings), and preventive nutrition packages. In order to rigorously and independently assess the impacts of the program, the Government of Mali collaborated with research partners, International Food Policy Research Institute (IFPRI) and Institut de recherché pour le développement (IRD), to undertake an impact evaluation. The impact evaluation assesses how the “Jigisémèjiri” program impacts household welfare, and, in particular, household food consumption, food security, and dietary diversity, in addition to child nutrition and development. The impact evaluation is designed as a two-stage randomized control trial in which 96 communes were randomly assigned to begin receiving the program in 2014 or 2015 (early treatment) or in 2016 or 2017 (late treatment). Within a subset of the early treatment communes deemed eligible for nutrition packages, villages were randomly assigned to receive the nutrition packages or not receive them.
This dataset is from the baseline survey conducted from September 2014–February 2015, before the start of the program across 5 regions of Mali. The baseline sample was designed to be representative of Jigisemejiri beneficiaries with a child 6-23 months old. In total, 3,175 households across the 96 communes were planned to be sampled at baseline. Due to security concerns, 6 communes in Mopti were not sampled, leading to 3,080 households across 90 communes that were actually sampled in the baseline data.

× In 2014 the Government of Mali began implementing its “Filets Sociaux (Jigisémèjiri)” program that aims at reducing poverty and improving human capital accumulation through targeted cash transfers, accompanying measures (or trainings), and preventive nutrition packages. In order to rigorously and independently assess the impacts of the program, the Government of Mali collaborated with research partners, International Food Policy Research Institute (IFPRI) and Institut de recherché pour le développement (IRD), to undertake an impact evaluation. The impact evaluation assesses how the “Jigisémèjiri” program impacts household welfare, and, in particular, household food consumption, food security, and dietary diversity, in addition to child nutrition and development. The impact evaluation is designed as a two-stage randomized control trial in which 96 communes were randomly assigned to begin receiving the program in 2014 or 2015 (early treatment) or in 2016 or 2017 (late treatment). Within a subset of the early treatment communes deemed eligible for nutrition packages, villages were randomly assigned to receive the nutrition packages or not receive them. This dataset is from the midline panel survey conducted in August–November 2016, before the late treatment was rolled into the program.

× This study contains data from twelve (12) sites/farmers on sustainable intensification through efficient application of different fertilizers. These 12 sites/farmers were selected from Hallu, Long, Seloto, and Sabilo villages. Farmer selection was participatory, but among farmers who were willing to provide land and were also committed to implementing the trials.The project tested intercropping of maize/pigeonpea varieties that are differentiated by maturity periods.The maize varieties include PAN 691, a long maturing maize variety, Mkombozi, an early to medium maturity high yielding maize variety, and SC 627, an early maturing variety. These will be intercropped with pigeonpea variety Mali from ICRISAT, a long maturing and high yielding variety that is considered new in the study sites. Project title: Identification of the Key Biophysical Production Constraints to Crops and Livestock at Farm and Landscape Levels Project abstract: Maize and pigeonpeas intercropping will be microdosed with different sources of P fertilizer to enhance BNF and environmental quality. Project website: http://africa-rising.net

× This dataset includes constructed diffused light storage (DLS) number. Project title: Promotion of Diffused Light Storage. Project abstract: Storage losses including impaired quality are partly caused by harvested crops not being stored in a product specific manner. Diffused Light Storage (DLS) is a post-harvest technology which uses natural indirect light instead of low temperature to control excessive sprout growth of potato seeds, extend their storage life, reduce the associated storage losses and improve productivity of the potato crop. It is a low cost method which provides a new opportunity for farmers to preserve the quality of seed potato. Quality Declared Planting Material (QDPM) is a value added product and must be stored in DLS. Project website: http://africa-rising.net

× This data study contains data from on-farm trials to compare the performance of quality seed versus poor quality seed and field day at flowering and harvesting season. Project title: Promotion of Quality Seed for Potato. Project abstract: Quality seed is more expensive than ordinary seed. While farmers in most communities demand access to quality seed, few farmers are actually willing to pay the premium associated with seed of better quality. It is therefore necessary to promote the merits of quality seed so as to create a farmer-based demand and market for quality seed. Project website: http://africa-rising.net

× The qualitative research protocols were designed by the International Food Policy Research Institute (IFPRI) in collaboration with the Millennium Challenge Corporation (MCC) to identify issues that most constrain women’s access to employment and entrepreneurship opportunities in Malawi and to understand how benefit streams for economic growth due to low participation of women in employment and entrepreneurship can be unlocked through removing constraints. More broadly, the protocols are part of an effort to improve the integration of gender into growth constraints diagnostics, an analytic approach commonly used by development organizations, such as MCC, to identify ‘binding’ constraints to economic growth within a particular economy and prioritize policy reforms to ease those constraints.

× This data study explores raising and sustaining productivity in cereal-legume cropping systems in northern Ghana. Mamprusi districts in the Northern region and Guru and Builsa district in Upper East region Presbyterian Agricultural Services. However, Zia farming is an innovative technology which involves the burial of manure/organic matter in holes/ pits and planting the crop later on top of the pit. The objectives of this study are to evaluate and disseminate the Zia and fertilizer Micro-dosing techniques on-farm; to undertake cost benefit analysis of the Zia and fertilizer Micro-dosing; to explore the potential increase in grain yield of Zia and fertilizer Micro-dosing over farmers practice in the Africa RISING intervention communities; to undertake comparative analysis of the effect of Zia and fertilizer Micro-dosing on maize,sorghum, and millet. Project website: http://africa-rising.net http://africa-rising.net/where-we-work/west-africa/

× This survey was conducted to collect baseline data for a randomized control trial preceding the introduction of improved energy cookstoves in the Dedza District in the Central Region of Malawi. A similar baseline study was also conducted in Mozambique in the district of Angonia. Dedza district in Malawi was selected because it shares a transboundary with Angonia district in Mozambique and has similar biophysical and socioeconomic conditions. This selection was intended because the project was set out to examine how differences in policies in the two countries contributed to the adoption and use of improved cookstoves under a randomized control trial experiment. The data also includes a section on discrete choice experiments that test several price subsidy policy options and their impact on the possible uptake of improved cookstoves. The data also includes another section again on discrete choice experiments testing fertilizer subsidy policy options and how they could impact on the uptake of agroforestry.

× This survey was conducted to collect baseline data for a randomized control trial preceding the introduction of improved energy cookstoves in the Angonia district in Mozambique. A similar baseline study was also conducted in Malawi in the district of Dedza. Angonia district in Mozambique was selected because it shares a transboundary with the Dedza district in Malawi and has similar biophysical and socioeconomic conditions. This selection was intended because the project was set out to examine how differences in policies in the two countries contributed to the adoption and use of improved cookstoves under a randomized control trial experiment. The data also includes a section on discrete choice experiments that test several price subsidy policy options and their impact on the possible uptake of improved cookstoves. The data also includes another section again on discrete choice experiments testing fertilizer subsidy policy options and how they could impact on the uptake of agroforestry.

× This survey was conducted to collect endline data for a randomized control trial study. The endline survey was conducted two years after the introduction of improved energy cookstoves in the Dedza District in the Central Region of Malawi. A similar endline study was also conducted in Mozambique in the district of Angonia. Dedza district in Malawi was selected because it shares a transboundary with Angonia district in Mozambique and have similar biophysical and socioeconomic conditions. This selection was intended because the project was set out to examine how differences in policies in the two countries contributed to adoption and use of improved cookstoves under a randomized control trial experiment.

× This survey was conducted to collect endline data for a randomized control trial, two years after the introduction of the improved cookstoves in the Angonia District of Mozambique. A similar endline study was also conducted in Malawi in the district of Dedza. Angonia district in Mozambique was selected because it shares a transboundary with the Dedza district in Malawi and has similar biophysical and socioeconomic conditions. This selection was intended because the project was set out to examine how differences in policies in these two countries contributed to the adoption and use of improved cookstoves under a randomized control trial experiment.

× This data study contains household and community survey data in support of Africa RISING farming systems analysis. Project title: AfricaRISING- Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa the project is being implemented in Tanzania and Malawi, and Zambia. - In Tanzania the project is being implemented in Babati and Kongwa districts in Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agroecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. - In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. The pilot site for the study will be Eastern and Lusaka Provinces in Zambia. Project website: http://africa-rising.net

× This data study contains household and community survey in support of Africa RISING farming systems analysis. Project title: Rapid Characterization of Farming Systems in Africa RISING-MALI Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa the project is being implemented in Tanzania and Malawi, and Zambia. - In Tanzania the project is being implemented in Babati and Kongwadistricts in Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agroecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. - In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. - The pilot site for the study will be Eastern and Lusaka Provinces in Zambia. Project website: http://africa-rising.net

× This data study contains data from a household and community survey in support of Africa RISING farming systems analysis. Project title: AfricaRISING-Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa, the project is being implemented in Tanzania, Malawi, and Zambia. In Tanzania, the project is being implemented in Babati and Kongwa districts in Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agroecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. The pilot site for the study will be Eastern and Lusaka Provinces in Zambia. Project website: http://africa-rising.net

× This data study contains household and community survey data in support of Africa RISING farming systems analysis. Project title: Africa RISING- Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa. Project abstract: Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa the project is being implemented in Tanzania and Malawi, and Zambia. In Tanzania the project is being implemented in Babati and Kongwa districts in the Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agroecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. The pilot site for the study will be Eastern and Lusaka Provinces in Zambia. Project website: http://africa-rising.net

× Yield gap of nine priority commodities of the African Development Bank was assessed and aggregated at two levels across the Africa continent: 1) agro-ecological zones and 2) agro-ecological zones by country. In this rapid assessment, the yield gap was defined as the percentage difference between the actual yield estimated from spatially-disaggregated crop production statistics database and the potential yield retrieved from the FAO's Global Agro-Ecological Zones database, both at the 10-km pixel level.

× Between 2006 and 2009, HarvestPlus conducted the Reaching End Users (REU) project in Mozambique and Uganda. The objective of the project was to distribute the first biofortified crop with high micronutrient density, provitamin A-rich orange-fleshed sweet potato (OFSP). HarvestPlus selected regions of Uganda and Mozambique for this initiative because in these areas of each country white- or yellow-fleshed sweet potato is either the staple crop (Uganda) or an important secondary source of starch (Mozambique). The project strategy involved conducting a coordinated three-pronged approach to encourage adoption and consumption of OFSP including: (i) vine distribution and agricultural extension (seed systems), (ii) demand creation through nutrition trainings; and (iii) trainings in marketing and product development. HarvestPlus planned to reach over 10,000 farming household in each country, but also wanted to use this opportunity to learn about how the impact and cost-effectiveness of integrated dissemination strategies of differing intensity. The data were used for a rigorous impact evaluation and cost-effectiveness study of the REU OFSP project conducted from 2006-2009 in Mozambique, and the 2012 data were collected to understand how adoption and dietary intakes had evolved.

HarvestPlus collaborated with the International Food Policy Research Institute (IFPRI) and the International Potato Center (CIP) to design and implement a randomized-controlled evaluation during the implementation of the REU project in each country. The point of intervention for the REU project included local farmer groups in Uganda and more loosely organized community or church-based groups in Mozambique. Before the intervention, these groups were sampled for the evaluation study and group members with young children were randomly selected for the evaluation household sample. Baseline surveys were conducted in the sampled church groups in Mozambique in 2006. The baseline included a detailed socioeconomic and agricultural survey as well as a nutrition and dietary intake survey. The dietary intake survey included 24-hour dietary recall interviews to measure intakes of vitamin A and other nutrients of target groups of young children and women in the sample. As a basis for identifying impact through the evaluation, sampled farmer groups or church groups were randomly assigned into one of three intervention arms: the intensive 2-3 year intervention (Model 1), a less intensive intervention with reduced activity after the first year (Model 2) and a Control group. In 2009, endline surveys were conducted in Mozambique, and in 2012, the communities were visited a third time, three years after the intervention had left.

× This is a replication data for the tables presented in the article, "Can transfers and complementary nutrition programming reduce intimate partner violence four years post-program? Experimental evidence from Bangladesh.” A detailed description of each variable in this dataset is included in this article. The sampling procedure employed and the raw data are also described in the article.

× This dataset includes data and do-files for reproducing results presented in the article "Designing better Input Support Programs: Lessons from Zinc Subsidies in Andhra Pradesh, India." The data used in the analysis of this paper were generated from a survey of 1621 farming households, 78 agricultural input dealers, and 61 government extension workers in six districts—Chittoor, East Godavari, West Godavari, Krishna, Nellore, and Srikakulam—of Andhra Pradesh.
The surveys were conducted in Rabi season, 2018-19, and collected data on cultivation practices, the use of chemical inputs including micronutrients over Kharif 2018 and Rabi 2018-19, and awareness about micronutrient benefits from farmers. The surveys of extension workers and fertilizer dealers included questions on the main roles and responsibilities and issues faced in the implementation of the micronutrient subsidy scheme.
The data files included are raw data generated from the survey. The "Analysis" do-file will generate constructed variables from the raw data which are described in the S1 Table of the paper. The remaining results, figures (Fig 1-6), and tables (Table 2, Table 3, Table 4, S2 Table) used in the paper can also be reproduced running this do file.

× The dataset consists of the replication files from the analysis of the empowerment impact of the Agriculture, Gender, and Nutrition Linkages (ANGeL) project in Bangladesh. ANGeL was a cluster-randomized controlled trial implemented by the Ministry of Agriculture, Government of Bangladesh, with IFPRI as its evaluation partner. ANGeL aimed to assess interventions that can leverage agricultural growth to increase farm household incomes, improve nutrition, and enhance women’s empowerment in Bangladesh. There were three types of interventions: (1 ) Agriculture Production: Facilitating the production of the high-value food commodities that are rich in essential nutrients; (2) Nutrition Knowledge: Conducting high-quality behavior change communication (BCC) to improve the nutrition knowledge of women and men; (3) Gender Sensitization: Undertaking gender sensitization activities that lead to the improvement in the status/empowerment of women and gender parity between women and men. We implemented a clustered randomized controlled trial with the following arms: T-A: Agricultural Production training; T-N: Nutrition Behavior Change Communication (BCC); T-AN: Agricultural Production training and Nutrition BCC; T-ANG: Agricultural Production training, Nutrition BCC, and Gender Sensitization; and C: Control. Details on sampling can be found in Quisumbing et al. (2021) [https://doi.org/10.1016/j.worlddev.2021.105622].
Baseline data were collected between November 2015 and January 2016. Endline data were collected between January and March 2018. In each household, both the primary female beneficiary and primary male beneficiary were interviewed. Although the male and female beneficiaries were interviewed separately, some modules were answered by only the male (e.g., household demographics, assets and wealth, agricultural production, non-food consumption, and expenditures), some were answered by only the female (e.g., food consumption and food security indicators, dietary data, anthropometry, women’s status and decision-making autonomy, the experience of IPV), and some were answered separately by each (e.g., data needed to construct the Women’s Empowerment in Agriculture Index (WEAI), gender attitudes, time preferences, agency). Several modules related to empowerment, gender attitudes, IPV, and experience with the program were administered only at endline. In the case of empowerment, the pro-WEAI (Malapit et al. 2019) [https://doi.org/10.1111/dpr.12374] was administered at endline but was not available at baseline as it was still under development; instead, at baseline, the abbreviated WEAI (A-WEAI, see Malapit et al. 2017) [http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/131231] was fielded. Questions on gender attitudes and IPV were motivated in part by the Nurturing Connections curriculum, which was made available after baseline, thus were included only at endline.

× The project-level Women’s Empowerment in Agriculture Index (pro-WEAI) is a survey-based index designed for use by agriculture development projects to measure project impacts on women’s empowerment, diagnose areas of women’s disempowerment, and inform strategies to address deficiencies in specific settings. Pro-WEAI was developed jointly by the International Food Policy Research Institute (IFPRI), the Oxford Poverty and Human Development Initiative (OPHI), and 13 agricultural development projects in Africa and South Asia as part of the Gender, Agriculture, and Assets Project, Phase 2 (GAAP2). Pro-WEAI is an adaptation of the Women’s Empowerment in Agriculture Index (WEAI), originally developed in 2012 by IFPRI, the United States Agency for International Development (USAID), and OPHI. This data package contains baseline data from five GAAP2 projects and Stata .do files necessary for replicating the results of Malapit et al. (2019). The data include all items needed to calculate pro-WEAI, as well as the basic demographic information (gender and household type) used in the analysis.

× This dataset is a cleaned subset of a household survey conducted in and around the Rohingya settlement camps in Southeastern Bangladesh. The data underlines the study “Food transfers, electronic food vouchers and child nutritional status among Rohingya children living in Bangladesh." It includes anthropometry of 523 children aged between 6 and 23 months in households receiving either a food ration consisting of rice, pulses, vegetable oil (362 children) or an e-voucher (161 children) that could be used to purchase 19 different foods. In addition, this dataset also provides information on the characteristics of the mothers and the households in which they lived, including household demographics, consumption and expenditure, coping strategies, livelihoods and income profiles, and access to assistance.

× This dataset contains the data and scripts required to reproduce the tables and figures in the study titled "Income, consumer preferences, and the future of livestock-derived food demand." R scripts were run using R version 4.0.5 on Windows 10 x64.
All the data and script should be placed in one folder. Add a R project into the folder (for example, "project_ldfDemand.Rproj"). Open the R project before running the scripts.
The scripts (extension .R) are ordered sequentially, and should be run sequentially for the first time. The script "22masterFile.R" is the master file that runs all scripts sequentially from start to finish.
The study generated simulation results in GAMS. The GAMS code is not part of the scripts in this dataset. Please direct any questions on the GAMS code and input data to Adam Komarek (a.komarek@uq.edu.au)

× National Family Health Survey (NFHS-4) is a national, state, and district representative sample of 601,509 households with a response rate of 97.6%. In all households, women age 15-49 are eligible to participate. The study focuses on a sample of over 200,000 women with a mean age of 26.8 years who had a living child in the 5 years preceding the survey (N=196386, 48% female, 52% male). The exposure variable was obtained from the National Sample Survey-Consumer Expenditure(NSS-CES) rounds 50 (1993/94), 55 (1999/00), 61 (2004/05), and 69 (2011/12). The NSS-CES cross-sectional surveys are representative at the national and state levels. The NSS-CES survey over 100,000 households in each round and provide information on demographic characteristics of all household members. The study used data on free meals obtained at schools, among girls aged 6-10 years, to calculate the exposure to the Mid-day Meal (MDM) program by state, socioeconomic status (SES), and birth-year. The India Human Development Survey (IHDS) is a panel survey of 42,152 households. It provided data on school meals and education and the height of direct beneficiaries.

× These files comprise dataset and do-files for reproducing results presented in the article, "Perceptions of Relative Deprivation and Women's Empowerment" (Kosec, Mo, Schmidt, and Song, 2021). The dataset "Data_PNG_all_tables" is constructed from the Papua New Guinea Household Survey on Food Systems, 2018. A detailed description of each variable in this dataset is included in section 4 of the article. The sampling procedure employed and the raw data are described in the publication "Papua New Guinea Survey Report: Rural Household Survey on Food Systems" (Schmidt et al., 2019).

× This database provides estimates of the burden of undernutrition and its costs to societies around the world. To derive these estimates, various health outcomes were attributed to undernutrition, as suggested in the literature. The health outcomes that are covered in the World Health Organization's (WHO) Global Burden of Disease (GBD) study and that relate directly to undernutrition are: protein –energy malnutrition, iodine deficiency, vitamin A deficiency, and iron-deficiency anemia. Furthermore, 18 percent of diarrheal diseases and 41 percent of lower respiratory infections can be attributed to zinc deficiency, and 5 percent of maternal mortality can be attributed to iron-deficiency anemia. Aggregating the Disability Adjusted Life Years (DALYs) lost due to these various health outcomes (and using 2011 population figures to generate DALYs estimates for 2011 from the WHO's data for 2004) yields results for the burden of hunger in all its forms in terms of DALYs lost in 2011 at the global and country level. Globally, 44 million DALYs are lost due to micronutrient malnutrition (hidden hunger) and 21 million DALYs are lost due to undernourishment (chronic hunger). While the same individual can be both undernourished and suffering from one or another micronutrient deficiency, in the calculation of DALYs the various health outcomes are clearly differentiated by cause; that is, DALYs lost are summable (which is one of their conceptual strengths). Therefore, added together, the global burden of hunger in all its forms amounts to 65 million DALYs lost — about 4 percent of the total burden of disease. All these calculations use the latest data on DALYs lost at the country–level provided by the WHO. In addition, another set of estimates of the cost of undernutrition at the global level is derived from more recent, but less disaggregated data from the Institute for Health Metrics and Evaluation (IHME).

× These files comprise data and do-files for reproducing results presented in the article "Taxing Informality: Compliance and Policy Preferences in Urban Zambia" (Resnick, 2020). The dataset "Zambia_informal_taxation.dta" is constructed from the Lusaka Market Study on Taxation and Service Delivery, 2020. The sampling procedure employed is described in section 4 of the article.

× These files consist of the do-files and data for reproducing results presented in the article, ""The Gendered Impacts of Income Fluctuations on Household Departure, Labor Supply, and Human Capital Decisions"" (Kosec et al., 2021). The data files were constructed from Kyrgyz Integrated Household Survey (KIHS) spanning from 2004 to 2016. KIHS is a nationally-representative, multi-topic rotating panel household survey conducted quarterly since during 2003-2016.The primary respondent is the household head or a knowledgeable member, who completed a household roster and employment module covering individuals aged 15�65, among other modules. Each year
up to 2013, up to 25 percent of households exited the sample; in 2013, an entirely new sample was selected. There are on average three observations per household each year, and the median household is in the sample for four years. In total data from 164,997 individuals from 14934 households were used for the analysis.

× This dataset is produced from the randomized controlled trial (RCT), which was conducted to test for a causal impact of aflatoxin exposure on child growth. Participants were recruited from among households containing women in the last 5 months of pregnancy in 28 maize-growing villages within Meru and Tharaka-Nithi Counties in Kenya. Households in villages assigned to the intervention group are offered rapid testing of their stored maize for the presence of aflatoxin each month; any maize found to contain more than 10 ppb aflatoxin is replaced with an equal amount of maize that contains less than this concentration of the toxin. They are also offered the opportunity to buy maize that has been tested and found to contain less than 10 ppb aflatoxin at local shops. Clusters (villages) were allocated to the intervention group (28 villages containing 687 participating households) or control group (28 villages containing 536 participating households) using a random number generator.

Data collection at baseline and follow-up were done at participants’ homes through face-to-face interviews. A pre-coded survey was administered to the expectant mother immediately after enrollment, her height and weight were measured, and self-reported month of pregnancy was recorded. Expectant mothers were also asked to provide a venous blood sample to be analyzed for serum aflatoxin. A similar survey was repeated during follow-up data collection at 24 months after enrollment. Participants enrolled in the fourth through sixth waves were additionally followed-up 24 months after the third enrollment wave. At each follow-up visit, the length and weight of the child in utero at baseline (reference child) were recorded, and a venous blood sample was taken from this child for serum aflatoxin analysis.

× The dataset contains the data and scripts required to generate the tables and figures in the article titled "Trade-offs and synergies associated with maize leaf stripping within crop-livestock systems in Northern Ghana."

× As part of an IFPRI-led study, raw and partially processed secondary data have been harmonized and analyzed to examine the ex-ante effects of different legume and fertilizer practices on cropping systems indicators for maize-based smallholder farmers in the Golomoti Extension Planning Area of central Malawi. The current dataset contains the data files and code needed to replicate the results presented in the publication "Trade-Offs and Synergies Between Yield, Labor, Profit, and Risk in Malawian Maize-Based Cropping Systems."

Household survey data collected as part of the Africa Research In Sustainable Intensification for the Next Generation (Africa RISING) program, along with secondary data from journal articles and the Malawian Agricultural Market Information System, as well as other biophysical and economic data have been harmonized and analyzed using Stata. Stata do files have been created for data processing and analysis as noted in the "Documentation" file included in this study.

× Resilience of food security in the arid and semi-arid lowlands (ASAL) in Kenya, were assessed using repeated cross-sectional data (collected in 1993, 1998, 2003, and 2008). We measure short- and long-term food security in response to changing agro-climatic conditions, using indicators of child and woman nutritional status. Since measurements over time on the same units of analysis are not available, synthetic cohorts of individuals (children and women) having similar characteristics have been reconstructed, resulted in a pseudo-panel dataset. The dataset is used to observe resilience to agro-climatic shocks, including temperature increases, drought, and changes in vegetation cover.

× This is replication data used in the analysis for the correspondence article published at Nature Climate Change: "Subnational socio-economic dataset availability."

× The dataset provides rice yield information in selected districts in Tanzania. Project title: Enhancing Partnership among Africa RISING, NAFAKA and TUBORESHE CHAKULA Programs for Fast Tracking Delivery and Scaling of Agricultural Technologies in Tanzania. Project abstract: Enhancing partnership among Africa RISING, NAFAKA and TUBORESHE CHAKULA Programs for fast tracking delivery and scaling of agricultural technologies in Tanzania. Project website: http://africa-rising.net

× The data included in this study were a part of research that was conducted to assess the impacts of different land uses and soil water conservation (SWC) interventions on runoff and sediment yield at different scales in the highlands of Ethiopia. Run-off and soil loss data were collected from the experimental runoff plots that were set up to monitor daily runoff and sediment yield under different land use and management practices in Gudoberet Kebele (North Shewa). It includes data from four treatment plots--woodlot, grazing, cropland with (SWC) and cropland without SWC--with two replications that were established on 60 square meter area from 2014 to 2017.

× This survey was conducted to identify the current capacity within Nigeria for providing evidence for policymaking and for creating this capacity for future generations. This is part of the program to support the designing and implementing of evidence-based, pro-poor, gender sensitive and environmentally sustainable agricultural and rural development policies and strategies in Nigeria. The data presented originates from the survey conducted in 2008. A total of 25 institutions and 184 individuals were sampled. Topics covered for institutions include statements seeking to establish an understanding of the agricultural and rural policy environment and process, institution and institutional environment, financial resource management, human resources management, staff performance and performance appraisal, organizational management, autonomy in personnel and budgetary issues, and technical capacity. Topics covered for individuals include background information about respondent, experience with the agricultural and rural development policy process, gender in the policy process, environmental issues in the agricultural and rural development policy process, job satisfaction and institutional incentives.

× The Rural Finance and Food Security survey was conducted in Bangladesh in 1994 to analyze the determinants of the formation and participation in group-based rural financial institutions and the effects of participation on household resource allocation, income generation, and food and nonfood consumption. The community level survey covered 120 villages, and the household survey covered 1,181 individuals in 350 households in 7 villages in 5 thanas. The study included credit groups formed by three Nongovernmental organizations (NGOs)- Association for Social Advancement (ASA), Bangladesh Rural Advancement Committee (BRAC), and Rangpur-Dinajpur Rural Services (RDRS). Selection of respondents for the household surveys was based on stratified random sampling, with household possession of land as the stratifier, irrespective of membership in NGO programs. Household surveys focused on collecting data related to household composition, occupation, education, school participation, dwelling characteristics, assets, expenditures, food consumption, anthropometric measurements of women and children, and use of the Food for Education (FFE) system.

× This dataset was generated to assess the impact of market access on different socioeconomic indicators. The study focuses on Alefa woreda in the rugged terrain of northwestern Ethiopia just west of Lake Tana and approximately 100 kilometers from the city of Gonder. This is an isolated area with little to no electricity and mobile phone access and without any development or humanitarian assistance programs provided by non-governmental organizations. The sample area was chosen because the large variation in transportation costs over relatively short distances in the woreda allows to carefully assess the impact of these varying costs by comparing it with a situation of similar physical and climatic conditions.
The survey took place shortly after the main cropping season (meher) harvest over a five-week period in November and December 2011, interviewing 850 households. The data collected includes household demographics, land and agricultural production, housing quality and household assets, input access, expenditures and consumption, and anthropometrics of mother and children among others.

× The survey was a research collaboration between International Food Policy Research Institute (IFPRI), Wageningen University and Research Center (WUR), and the National Program for Sustainable Rural Development (PRONADERS) of the Honduran Ministry of Agriculture and Livestock (SAG).The data were collected at three levels: farm household, parcel (distinguished by tenure status), and plot (distinguished by land use type). The survey contains a total of 376 farms, 1066 parcels, and 2143 plots. The survey collected information about household composition, education, asset ownership, labor use, sources of income, sales of crop and livestock products, participation in credit markets, membership of organizations, participation in training and extension, collective action and others at the farm level. The survey also collected information about cropping patterns, crop yields, and technology use including use of inputs at the plot level and land tenure, conservation practices, and conservation investments at the parcel level. In order to better understand the performance of the farm enterprise, the survey also collected detailed biophysical data for a sample of two plots on each farm including landscape attributes, size, type of soil parent material, erosion status, and presence of physical conservation structures. Soil samples were also taken and analyzed in a local soil laboratory resulting in data regarding pH, nutrient content, organic matter content, and soil texture. These data were mainly used for the calculation of water availability, soil fertility, and erosion risk which together served as a basis for soil suitability ratings. Finally, the survey data were supplemented by adding secondary information regarding rainfall, population density, and road density. The raw data are available in Access format and in SPSS format.

× An impact assessment (IA) study was conducted in Rwanda in 2015 to determine the adoption and diffusion rates of high iron beans (HIB) varieties after eight seasons of active dissemination; understand HIB adoption and diffusion patterns across varieties and over time (the percentage of farmers currently planting, the percentage rate of addition, the percentage rate of dropout, the percentage of bean area currently under HIB, and so forth); and assess the socioeconomic and nutrition impacts resulting from HIB adoption. A nationally representative listing exercise preceded the main household survey for the impact assessment. The listing exercise was conducted across 120 rural villages in 29 provinces of Rwanda and was administered to a total of 19,575 households. The data included here are from both the listing exercise and the main impact assessment survey.

× Anemia remains a public health problem in Rwanda, affecting 38% of young children and 17% of reproductive-aged women (Demographic and Health Survey [DHS] 2010). The importance of iron deficiency (ID) as a cause of anemia in Rwanda is not known. We conducted a cluster randomized survey, selecting 408 rural households each in the Northern and Southern Provinces of Rwanda in 2010, to estimate the prevalence of ID and iron deficiency anemia (IDA) among young children and women of reproductive age.

× The 2011 Social Accounting Matrix for Rwanda is based on newly estimated supply-use tables, national accounts, state budgets, and balance of payments. The SAM reconciles these data using cross-entropy estimation techniques. The final SAM is a detailed representation of Rwanda's economy. It separates 54 activities and commodities; labor by different sectoral types; and households by rural/urban areas as well expenditure quintiles. Labor and household information is drawn from the most recent Rwanda Living Expenditure Survey. Finally, the SAM identifies government, investment and foreign accounts. It is therefore an ideal tool for economywide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× This data study explores raising and sustaining productivity in cereal-legume cropping systems in northern Ghana. About the project. Project title: AfricaRISING - Sustainable Intensification of Cereal-Based Farming Systems in the Guinea-Sudan-Savanna of Ghana and Mali. Project abstract: In Ghana, Zia has been successfully been introduced on a limited scale to farmers in the East Gonja, East Mamprusi districts in the Northern region and Guru and Builsa district in Upper East region Presbyterian Agricultural Services. However, Zia farming is an innovative technology which involves the burial of manure/organic matter in holes/ pits and planting the crop later on top of the pit. The objectives of this study are to evaluate and disseminate the Zia and fertilizer Micro-dosing techniques on-farm; to undertake cost benefit analysis of the Zia and fertilizer Micro-dosing; to explore the potential increase in grain yield of Zia and fertilizer Micro-dosing over farmers practice in the Africa RISING intervention communities; to undertake comparative analysis of the effect of Zia and fertilizer Micro-dosing on maize,sorghum, and millet. Project website: http://africa-rising.net http://africa-rising.net/where-we-work/west-africa/

× This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from among those that reported cell phone numbers in a previous multi-topic, in person survey in several regions of rural Malawi.

× This dataset was compiled by processing and harmonizing multiple secondary datasets, covering Nigeria and three states in India (Bihar, Odisha, and Uttar Pradesh), to help those working in the agricultural development sector identify and characterize groups of smallholder farmers that have the highest potential leverage in terms of increasing agricultural productivity. The dataset includes multiple various covering the agricultural production constraints, opportunities, and gender issues of the identified groups, aiming to fill a data gap in the understanding of the context at the farm level and how that affects what types of technologies, practices, or services are needed.

× IFPRI in collaboration with the Laiterie du Berger (milk factory in Richard Toll, Senegal), the GRET (international NGO), University Gaston Berger (UGB) in Saint Louis, Senegal and the Cellule de Lutte contre la Malnutrition (CLM) conducted an impact evaluation of a dairy value chain program in Senegal. The aim of the study was to assess if a dairy value chain could be used to distribute a micronutrient-fortified yoghurt (MNFY), to improve hemoglobin concentration and decrease anemia prevalence among preschool children at the individual level, in a remote area in Northern Senegal. Delivery of the MNFY was conditional on regular delivery of milk to the dairy cooperative supplying the MNFY and collecting milk from milk producing households. A cluster randomized control trial was used to compare children 24 to 59 months of age at baseline from households who received the MNFY coupled to a behavior change communication campaign (BCC) focusing on anemia prevention, to children from a control group (receiving BCC only) after one year. Randomization was at the level of the family concession (households from extended family). Households eligible were those having a child of the target age at baseline and willing to deliver milk to the dairy factory. The intervention started in February 2013 and lasted one year. A baseline survey was conducted in January 2013, two follow-up surveys in April and September 2013 and an endline survey in January 2014. Data were collected with questionnaires at the household, maternal and child level, during the baseline and endline surveys. The household questionnaire collected household-level information on socioeconomic characteristics, household composition and on household food insecurity. The mother questionnaire collected individual-level information on education, nutrition and health knowledge and maternal hemoglobin concentration. Hemoglobin levels for selected children in the household were collected longitudinally at baseline, follow-up surveys and at endline.

× This dataset is the baseline survey for the impact evaluation of the World Bank-funded program: the PSAOP (Programme de Services Agricoles et Organisations de Producteurs) in Senegal. The objective of this program was to strengthen the Rural Producers Organizations (POs) capacities to provide services for their members. The program also created PO councils at the district level "Communautés Rurales" in Senegal, through which the organizations can exchange information on their experiences. The sampling design included several independent strata meant to reflect different agro-ecological areas in the Bassin Arachidier, the Niayes, and the Senegal River Valley. Within each district, 14 villages were randomly selected. When the number of villages in the district was less than 14, all villages were included in the sample and additional villages were eventually selected in larger districts. Four series of questionnaires were used: village-level; household-level; PO-level; and specific PO activities Topics covered are information at the village level; basic information on all households in the community, including their participation in the different POs in the village; information on all POs in the village (with a limit of five), and on collective field, cattle-breeding, trade, horticulture, irrigated perimeters management, and fishing when such activities were undertaken by the POs. A related survey is Burkina Faso PNDSA II Impact Analysis Baseline Survey, 2002-2003, which used similar questionnaires in Burkina Faso.

× The topics treated during the nutrition field school sessions were (1) nutrition of children between six and 24 months and preparation of enriched porridge using whole grain millet, (2) nutrition of pregnant and breast feeding (nursing) mothers and preparation of enriched peanut sauce and (3) auto-diagnostic of nutritional status of children between 6 months and 5 years and prevention of Vitamin A, iron and iodine deficiency (4) Food needs of sick children and the preparation of sorghum porridge enriched with legumes; (5) Food Groups: Proteins and preparation of enriched leaf sauce; (6) Food groups that provide energy: Carbohydrates and lipids, and cooking of Laro; (7) Food Groups: Vitamins and minerals and preparation of ?to? from soyabean flour. During each session the essential hygiene and nutrition messages, as identified by the Helen Keller International were also repeated. Project title: Sustainable Intensification of Key Farming Systems in the Sudano-Sahelian Zone of West Africa

× This dataset consists of half-degree resolution simulated land use/land cover projections (in hectares) for the entire globe for the years 2005 and 2050. The future climates are derived from five General Circulation Models (GCMs) using Representative Carbon Pathway (RCP) 8.5 (Riahi, K. et al., 2011).
The Land Use and Land Cover (LULC) classes consist of nine natural vegetation categories (barren, savanna, deciduous/mixed, evergreen broadleaf forest, evergreen needleleaf forest, grassland, shrubland, tundra, and woody savanna) and twelve cropland categories (rainfed and irrigated for maize, rice, sorghum, soybeans, wheat, and all other crops). Three different data sources were used to estimate the natural vegetation component and each result simulation is reported separately. One set of cases indicates the potential area for the natural vegetation classes if there were no cropland. The second set includes cropland and thus the natural vegetation areas are reduced. The total cropland areas are derived from the IMPACT model with adjustments made for multi-cropping.

× Understanding the nature of farm tractors ownership and their uses by private individuals who are mostly in the informal sector, is critical in African countries like Nigeria. This survey captures relevant information from tractor owners in Benue state in Nigeria. Benue state was selected because it was one of the seven focal states selected by the USAID in which IFPRI Nigeria project was requested to conduct research in 2018. Among the 7 states, Benue state has been selected because IFPRI’s earlier work, as well as secondary survey data and interactions with the local stakeholders, suggested that there had been significant growths of private sector tractor ownership and hiring-out services, but they had remained largely in the informal sector and information had been lacking.

The survey covers 71 tractor owners in Benue states. The survey captures information regarding the nature of tractor usages, hiring business operations, evolutionary histories, and what challenges they have been able to overcome or continue to face.

× This dataset includes a baseline and endline survey from a cluster-randomized sample of households within villages covering the five uppermost Extension Planning Areas (EPAs) in the Shire River Basin in southern Malawi, spanning the districts of Balaka, Machinga, and Zomba. These EPAs were identified by the Malawian Department of Land Resources Conservation (DLRC) as the key riparian areas to the Shire River. Additionally, it includes registration and monitoring data from two years of the experimental intervention, with the intervention consisting of varying incentive structures and visual monitoring of land management practices. Finally, the data include an accounting of what, if anything, recipients purchased with the voucher they received. In sum, these data include detailed assessments of farm and household characteristics; detailed crop-level measurements of inputs and production for all plots (baseline and endline surveys) or the main plot (intervention registrations; summaries at plot-level for all other plots); assessments of access to services, coupons, and markets; an economic experiment designed to assess marginal willingness-to-accept a conservation agriculture (CA) incentive (baseline), and the perceived risks associated with CA (year 2 intervention and endline).

× The 1994 and 1995 Mozambican social accounting matrices (SAMs) include an aggregate macro-SAM called MACSAM, and a disaggregated version called MOZAM. With 13 agricultural and two agricultural processing activities, the primary sectors are particularly well represented in MOZAM. There are also 40 commodities, and the three factors of production: agricultural and non-agricultural labour, and capital. Two household types (urban and rural) are identified, and government expenditure is divided into two separate accounts, recurrent government and government investment. MOZAM includes a number of innovative features, partly reflected in household demand, where a distinction is made between home consumption of own production and private consumption of marketed commodities. Home consumption avoids trade and transport margins. Thus, MOZAM captures prevailing incentives for households to avoid markets and function more as autonomous production/consumption units. The disaggregation of household demand brings marketing margins in focus in relation to decisions regarding production. However, transactions costs are also important for exported and imported commodities. Domestic, export and import marketing margins are therefore explicitly broken out for each activity in MOZAM. Procedures used to balance MACSAM and MOZAM are also documented, including the use of maximum entropy methods to estimate the SAMs, which make efficient use of all available data in a framework that incorporates prior information and constraints.

× Social Accounting Matrix for India 2017-18 accounts 112 sectors of Indian economy of which 39 sectors are accounted for agriculture and allied activities, 18 sectors are related to agriculture-based processing activities, 4 mining sectors, 24 manufacturing sectors other than agro-processing, 3 sectors related to utilities, 1 construction sector and 23 service sectors including transport and trade. The primary factor input has been classified into 8 types of labor, 4 types of capital, and one category of land. The categorization of labor is based on the level of education of the workers and geographical location i.e. rural and urban. The 4 types of capital are; crop, live animal, mining, and other financial capital. This SAM distinguishes households into three broad categories like rural farm households, rural non-farm households, and urban households. Households are further disaggregated into per capita expenditure quintiles. Therefore, this database is useful for scholars and policymakers who are interested to work on macroeconomic policy analysis for the Indian economy.

× More frequent data collection, especially when coupled with shorter recall periods, may produce more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events that may merit policy or other forms of development intervention. Although there have been survey efforts that have collected a small number of data from rural households on the moderately high basis, to date there have been no significant efforts to collect a broad range of data from rural households with high frequency. The data included in this study was collected through the smartphone-based data collection technique that allowed participants to submit data at various frequencies and with various recall periods, thereby permitting the analysis of the relative merits of more frequent data streams. This study captured data from 480 farmers of northwestern Bangladesh over approximately one year of continuous data on key measures of household and community well-being that could be particularly useful for the design and evaluation of development interventions and policies. While the data discussed here provide a snapshot of what is possible, we also highlight their strength for providing opportunities for interdisciplinary research in the household agricultural production, practices, seasonal hunger, etc., in a low-income agrarian society.

× The data included in this study were a part of research that was conducted to assess the impacts of different land uses and soil water conservation (SWC) interventions on runoff and sediment yield at different scales in the highlands of Ethiopia. Run-off and soil loss data were collected from the experimental runoff plots that were set up to monitor daily runoff and sediment yield under different land use and management practices in Gudoberet Kebele (North Shewa). It includes data from four treatment plots?woodlot, grazing, cropland with (SWC) and cropland without SWC?with two replications that were established on 60 square meter area from 2014 to 2017.

× The data included in this study were collected to assess the health of the soil at four Africa RISING sites: Basona, Michew, Jawe, and Sinana. The data were collected following land degradation surveillance framework (LDSF) whereby within a 10km by 10km sites, we considered 16 clusters of 1km by 1km and within each cluster we have 0.1 ha plots, within which 0.01 ha subplots were located for sampling. International Center for Tropical Agriculture (CIAT) led the data collection.

× The Land Degradation Surveillance Framework (LDSF) used by AfSIS was employed to conduct a systematic biophysical assessment of various ecological and soil health metrics. The LDSF was based on a hierarchical spatially stratified, random sampling approach consisting of 100 km2 sentinel landscapes, which were statistically representative of the variability in climate, topography, and vegetation of the study area under consideration. To predict soil properties for areas where samples were not collected, relatively large number of samples from representative locations were taken. To overcome the huge cost of analyzing large soil samples using conventional laboratory techniques, near and mid-infrared spectroscopy approaches were used. Project title: Identification of the Key Biophysical Production Constraints to Crops and Livestock at Farm and Landscape Levels Project abstract: The project undertakes soil survey to characterize 2 sentinel sites (Long and Matufa); and agronomic survey to estimate farmers' actual yield. Project website: http://africa-rising.net/

× This household survey was conducted as part of a project aimed to provide policymakers and stakeholders in South Africa with tools to better understand, analyze, and form policy decisions to adapt to global change. The survey was conducted in the Limpopo River Basin in South Africa during 2005. A total of 794 households from 19 districts, in 5 Water Management Areas (WMAs), across 4 provinces of South Africa were sampled. The South Africa sample was designed to capture the diverse agricultural patterns in the basin area: farming strata, type of cultivation (dry land and irrigation), major and minor crops and livestock, and all the sub-catchment areas in each of the 5 WMAs. Topics covered include household roaster including background information, farm and non-farm activities, assets, basic services, disease, shocks; land ownership and land holdings; farm machinery, farm buildings, wells and pumps, and wage rates; crop production including production cost and income for seasonal crops and for perennial crops; crop water use; livestock production; access to extension, markets and credit; expenditures on food and income; and climate change and adaptation options.

× This dataset combines the KwaZulu-Natal portion of the first South African national household survey, the Project for Statistics on Living Standards and Development (PSLSD), which was undertaken in the last half of 1993 under the leadership of the Southern Africa Labour and Development Research Unit at the University of Cape Town with a re-survey of the same households from March to June 1998. Combining these two surveys yields a panel dataset in which the same individuals and households have been interviewed at two points in time. In 1993, the KwaZulu-Natal portion of the PSLSD sample was representative at the provincial level, conditional on the accuracy of the 1991 census and other information used for the sampling frame, and contained 1519 households of all races. It was decided not to re-survey the small number of white (112) and coloured (53) households in 1998. So the 1998 sample includes only African and Indian households. The 1993 survey was an integrated household survey similar in design to a World Bank Living Standards Measurement Survey. The main component was a comprehensive household survey that collected a broad array of information on the socio-economic condition of households and included sections on household demographics, household environment, education, food and non-food expenditures, remittances, employment and income, agricultural activities, health, and anthropometry. The 1998 household questionnaire largely followed the 1993 version with a few important changes: (1) greater focus on individual ownership of assets and control over their use; (2) expanded emphasis on those individuals not living in the household but economically linked to it; (3) four new sections on economic shocks, social capital, assets brought to marriage, and household decisionmaking. Community surveys were also completed in both years; the 1998 community questionnaire included new sections on economic shocks and social capital in addition to sections on local economic activity, infrastructure, and prices. This dataset, along with the Bangladesh Commercial Vegetable and Fish Polyculture Production dataset and the Strengthening and Evaluation of the Hogares Comunitarios Program in Guatemala City dataset, were collected with the objective of examining to what extent intrahousehold allocation processes would affect the outcome of development policies, with particular emphasis on gender as a determinant of intrahousehold allocation. Because the data were designed to make some analyses comparable across countries, several modules are similar for all three datasets. The common modules include: information on assets at marriage of husband and wife, family background information, individual education and anthropometric data. Other modules are different because each country study has a different emphasis. See Table 1 (PDF 65K) for a comparison of these datasets.

× The 1993, 1998, and 1999 SAMs for South Africa were constructed with the intention of incorporating the recently released supply-use tables for the country for these years. In line with this database, the SAM distinguishes between 43 productive sectors (activities) and the 43 commodities that they produce. By making use of the supply-use table, the SAM reflects how producers can produce more than a single commodity, and conversely, how a single commodity can be produced by more than a single producer. Therefore the SAM is a notable extension on existing SAMs for the country. The SAM accounts for four factors of production. These include unskilled, semi-skilled, and skilled labor, as well as the production factor capital. The SAM contains 14 representative households disaggregated across income deciles (with the exception of the top income decile, which is further subdivided into five income categories). Other institutions contained in the SAM include the rest of the world, the government, enterprises, and the savings-investment account.; For a description of the construction and use of the 1998 dataset, download the Trade and Macroeconomics Division Discussion Paper Number 100: (PDF 363K); Although there is no description of the construction of either the 1993 or the 1999 SAM, both use the same structure and data sources as the 1998 SAM for South Africa.

× The South African SAMs identify 39 activities and 39 commodities, which are further disaggregated across the nine provinces. The South African SAMs also disaggregate labour across nine provinces, three population groups, and three skill categories. The population groups include African, White, and Other Races. Finally, households are disaggregated across nine provinces, two area types (rural and urban), three population groups, and five per capita expenditure quintiles.The SAM construction took place in two stages. In the first stage a macro-SAM was created based on national accounts and other more aggregate data sources. Production was then distributed across provinces. The latter was done using shares and therefore did not imbalance the SAM. At the second stage, the factor and household accounts were disaggregated using information from the household surveys. Since income and expenditures did not reconcile in the surveys it was necessary to balance the household accounts. This was done using cross-entropy estimation. The estimation procedure draws on the prior information contained within the balanced aggregate-household SAM and the detail household information from the surveys. The South Africa SAMs are built on the framework originally presented in Thurlow and Seventer (2002) (PDF 363K).

× GIS dataset for constructing three-dimensional Development Domain for ASARECA's operation area in 12 East and Central Africa countries. Data layers of market accessibility, agricultural potential, and population density of 2010 at 5 arc-minute resolution were compiled from HarvestChoice.

× Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating Africa South of the Sahara-wide grid-scape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts.

× In many developing countries, weak institutions and fiscal mismanagement often lead to poor access and weak delivery of public services, such as health, education, and basic infrastructure. Improving the efficiency of public spending is an important economic and political tool, along with good governance and a strong revenue stream, for improved public sector management. An efficient public sector serves an important role in a country 's economic development by promoting adequate and appropriate allocation of resources. Even small steps toward prudent fiscal management can benefit the poor and other disadvantaged groups by allowing the provision of effective and targeted public services. A better understanding of the linkages between public expenditure and development can provide insights for poverty reduction strategies and key development goals. With this objective, IFPRI has compiled the Statistics of Public Expenditure for Economic Development (SPEED) database, providing the most comprehensive and publicly available public expenditure information for 147 countries and 10 sectors: agriculture, communication, education, health, defense, mining, social protection, transport, transportation and communication as a group, and total expenditures for the time period 1980-2010. The SPEED database is available for use by researchers, policymakers, donors, and others in the development community for a variety of economic and policy applications.

× In many developing countries, weak institutions and fiscal mismanagement often lead to poor access and weak delivery of public services, such as health, education, and basic infrastructure. Improving the efficiency of public spending is an important economic and political tool, along with good governance and a strong revenue stream, for improved public sector management. An efficient public sector serves an important role in a country 's economic development by promoting adequate and appropriate allocation of resources. Even small steps toward prudent fiscal management can benefit the poor and other disadvantaged groups by allowing the provision of effective and targeted public services. A better understanding of the linkages between public expenditure and development can provide insights for poverty reduction strategies and key development goals. With this objective, IFPRI has compiled the Statistics of Public Expenditure for Economic Development (SPEED) database, providing the most comprehensive and publicly available public expenditure information for 67 countries and six sectors: agriculture, education, health, defense, social protection, and transportation and communication, for the time period 1980-2007. The SPEED database is available for use by researchers, policymakers, donors, and others in the development community for a variety of economic and policy applications.

× The 2019 Statistics on Public Expenditures for Economic Development (SPEED) database contains public expenditure data for 164 countries from 1980 to 2017 for ten sectors: agriculture, communication, education, defense, health, mining, social protection, fuel and energy, transport, and transport and communication combined as one sector. Indicators reported include percentage of sector expenditure in total expenditure, percentage of total expenditure to total gross domestic product, and per capita sector and total expenditure in constant prices.

The data were compiled from multiple sources, including the International Monetary Fund, the World Bank, and national governments, and conducted extensive data checks and adjustments to ensure consistent spending measurements over time that are free of exchange-rate fluctuations and currency denomination changes.

SPEED is a user-friendly tool that could help governments to better allocate their resources to be consistent with their policy objectives, and citizens’ needs and priorities. Because of the wide coverage of time periods, countries, and sectors, it could help policymakers and researchers to better understand the linkages between different types of public expenditure and development. It could also help examine historical trends and compare those to other countries.

× The Statistics on Public Expenditures for Economic Development (SPEED) database is a resource of the International Food Policy Research Institute (IFPRI) that contains information on agricultural and other sectoral public expenditures in 147 countries from 1980 to 2014.

Policy makers, researchers, and other stakeholders can use this robust database to examine both historical trends and the allocation of government resources across sectors. It also allows for comparisons with other countries within a region or at a similar level of development. Because the SPEED database covers many countries for a long time period, it allows analysts of government spending to examine national policy priorities, as reflected in the allocation of public expenditures, and track development goals and the cost-effectiveness of public spending both within and across countries.

Indicators reported in this data study include total agricultural expenditure, agricultural spending per capita, and the ratio of agricultural spending to agricultural gross domestic product (GDP) for years 1980, 1995, and 2014. IFPRI researchers have compiled data from multiple sources, including the International Monetary Fund, World Bank, United Nations, and national governments, and conducted extensive data checks and adjustments to ensure consistent spending measurements over time that are free of exchange-rate fluctuations and currency denomination changes.

× The Statistics on Public Expenditures for Economic Development (SPEED) database is a resource of the International Food Policy Research Institute (IFPRI) that contains information on agricultural and other sectoral public expenditures in 147 countries from 1980 to 2016.

Policymakers, researchers, and other stakeholders can use this robust database to examine both historical trends and the allocation of government resources across sectors. It also allows for comparisons with other countries within a region or at a similar level of development. Because the SPEED database covers many countries for a long time period, it allows analysts of government spending to examine national policy priorities, as reflected in the allocation of public expenditures, and track development goals and the cost-effectiveness of public spending both within and across countries.

Indicators reported in this data study include total agricultural expenditure, agricultural spending per capita, and the ratio of agricultural spending to the agricultural gross domestic product (GDP) for years 1995, 2000, and 2016. IFPRI researchers have compiled data from multiple sources, including the International Monetary Fund, World Bank, United Nations, and national governments, and conducted extensive data checks and adjustments to ensure consistent spending measurements over time that are free of exchange-rate fluctuations and currency denomination changes.

× This dataset presents government expenditures by economic classification of expenses rather than by functional classification as it was the case in previous versions. The dataset includes sixteen economic categories and sub-categories of government expenses. The Government Finance Statistics Manual 2014 (IMF, 2014) provides details of the economic classification of expenditures (See particularly Chapter 6). According to IMF 2014 (page 114), “the economic classification of expense identifies the types of expense incurred according to the economic process involved”. Below is a list of the economic categories and sub-categories of government expenses included in the dataset along with some definitions taken from the IMF Government Finance Statistics Manual. In brackets are the corresponding variables names used in the dataset.
Total expense (expense) which is the sum of all economic categories listed below
Compensation of employees (comp_emp): Compensation of employees is the total remuneration, in cash or in kind, payable to an individual in an employer-employee relationship in return for work performed by the latter during the reporting period… Compensation of employees comprises wages and salaries and employers’ social contributions payable by employers on behalf of employees to social insurance schemes (IMF 2014, pages 115 and 116).
Consumption of fixed capital (cons_cap): Consumption of fixed capital is the decline, during the course of the reporting period, in the current value of the stock of fixed assets owned and used by a government unit as a result of physical deterioration, normal obsolescence, or normal accidental damage (IMF 2014, pages 124-125).
Grants expense (gt_exp): Grants expenses are transfers payable by government units to other resident or nonresident government units or international organizations and that do not meet the definition of a tax, subsidy, or social contribution (IMF, page 134).
Grants expense to foreign government (gt_exp_for)
Grants expense to other general government (gt_exp_gov)
Grants expense to international organization (gt_exp_int)
Interest expense (int_exp): Interest expense is a form of investment income that is receivable by the owners of certain kinds of financial assets (SDRs, deposits, debt securities, loans, and other accounts receivable) for putting these financial and other resources at the disposal of another institutional unit (IMF, page 127).
Interest expense to other general government (int_exp_gov)
Interest expense to non-residents (int_exp_nr)
Interest expense to residents other than general government (int_exp_res)
Other expense (ot_exp): Other expense comprises property expense other than interest, transfers not elsewhere classified, and amounts payable in respect of premiums, fees, and claims payable related to nonlife insurance and standardized guarantees (IMF, page 137).
Social benefits expense (soc_exp): Social benefits expense are current transfers receivable by households intended to provide for the needs that arise from social risks—for example, sickness, unemployment, retirement, housing, education, or family circumstances (IMF, page 13).
Subsidies expense (sub_exp): Subsidies expense are current unrequited transfers that government units make to enterprises on the basis of the level of their production activities or the quantities or values of the goods or services they produce, sell, export, or import (IMF, page 131).
Subsidies expense to other sectors (sub_oth)
Use of goods and services (use_gs): Use of goods and services consists of the value of goods and services used for the production of market and nonmarket goods and services (IMF 2014, page 120).

× Public expenditure is a powerful instrument for governments to use in achieving sustainable growth, poverty reduction, and transformation. Understanding the linkages between different types of public expenditure and development can help governments to better allocate their resources in a manner consistent with their policy objectives and citizens’ needs and priorities. Development practitioners, donors, and the general public have increasingly requested expenditure accountability and transparency in the use of public resources. Transparency in public spending allows governments to better track, monitor, and evaluate the impacts of investment decisions and to invest in the provision of public goods and services that benefit the rural poor (such as agricultural research and extension, health, education, and social protection) and provide a conducive environment for private-sector investments.

Against this background, the International Food Policy Research Institute (IFPRI) launched and made publicly available the Statistics on Public Expenditures for Economic Development (SPEED) database in 2010. The database aims to provide policymakers, researchers, and the broader development community with the most comprehensive public expenditure information. This is the third major update of the dataset since 2010 (the second major update was made available in 2013). This third update includes an expanded time coverage, 1980 to 2012, and an additional economic sector, fuels and energy. While data were not always available for all the 147 countries included in the dataset, significant efforts were made in updating the data for as many countries as possible.

This 2015 version includes a total of ten sectors: agriculture, communication, education, defense, health, mining, social protection, fuel and energy, transport, and transport and communication (as a group). Prior to 1990, the International Monetary Fund (IMF) presented the expenditures on transport and communications as one combined sector. Since 1990, the expenditures have been reported separately as two sectors. The new version of the SPEED dataset presents the expenditures on the two sectors separately as well as combined for completeness of information.

× This dataset contains estimates of the poor and extreme poor rural population within each region (administrative level 1) of the CRPs countries. The poverty lines are defined using the thresholds of 3.10$/day and 1.90$/day respectively, expressed in 2011 PPP $. With the exception of India, all the other estimates are based on authors’ calculations using data from nationally representative household surveys

× This dataset include survey instrument and data used in a collaborative technology adoption study conducted by the Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) and IFPRI. The study aimed to track the adoption and diffusion of selected technologies generated and promoted by in Tanzania, DRC and Rwanda. The studies were undertaken under the "Monitoring the Geospatial Diffusion of Agricultural Technologies" project funded Research Program on Policies, Institutions and Markets (PIM). The studies involved use of cost-effective ICT-based survey technique to track adoption and diffusion of agricultural technologies and explore scalable options for monitoring farmer's use of agricultural technologies. This innovative approach sought to document extent of technology adoption and diffusion over time and space since there is little evidence in this area with other approaches. The main objective of the survey was to test innovative methodologies for tracking adoption and generate data, knowledge and information on how far the agricultural technologies have been adopted by smallholder farmers and diffused over time and space. The specific objectives of the diffusion surveys were to: (i) establish the level of adoption of the technologies promoted by ASARECA within the target countries; (ii) identify, track and map out new areas where the technologies promoted by ASARECA have been adopted and diffused over time within the target countries; (iii) identify factors that are limiting the adoption of the technologies promoted by ASARECA within the target countries; and (iv) establish why farmers have stopped using the technologies and estimate level of technology dis-adoption among the target farmers. These studies looked at two technologies promoted by ASARECA within the region: QPM in Tanzania and DRC; and Climbing beans in Rwanda. Survey tools developed by IFPRI in collaboration with ASARECA and implemented as the TechTracker Survey Application developed by Spatial Development International.

× This dataset includes information collected face-to-face from 1,014 civil society organization (CSO) leaders from 48 communes in rural and urban Mali during January -- March 2021. The goal of the CSO leaders' survey is two-fold. We aim to measure several relevant characteristics distinguishing different CSOs from one another. Within each of these 48 communes, we used block randomization to select 20 or 24 CSOs, respectively. We blocked on CSO gender composition (all male, all female, or mixed) and CSO formality (formal or informal), creating six group types; we then selected at least four CSOs in the commune from each particular group type. The resulting sample of 1,020 CSOs (of which we were successfully able to interview 1,014) thus expresses substantial variation within each commune on both gender composition and formality.

× The survey questionnaires were designed by the International Food Policy Research Institute (IFPRI) in collaboration with the Millennium Challenge Corporation (MCC) to collect information on the experiences of and constraints to employment and entrepreneurship among men and women of working age (18-54 years old) in Malawi, and more broadly, to improve the integration of gender into growth constraints diagnostics, an analytic approach commonly used by development organizations, such as MCC, to identify ‘binding’ constraints to economic growth within a particular economy and prioritize policy reforms to ease those constraints.

× The survey on local conventions governing natural resources management was conducted in three communities in Koutiala site (Sirakel?, Zanzoni and Namposs?la) and three communities in Bougouni/Yanfolila site (Di?ba, Sibirila and Yorobougoula) in November and December, 2013. The survey included group discussion including local administrative authorities and technical services in Koutiala ?cercle? and in Bougouni/Yanfolila ?cercles?. The group discussion involved 10 to 15 participants. In addition, group discussion was conducted in each community involving 10 to 15 customary and opinion leaders. The group discussion looked at the strength and weakness of local conventions, the elaboration and implementation processes and strategies to strengthen them. To capture the involvement of community members in the elaboration and implementation of existing local conventions, between 25 and 30 individuals were randomly selected and interviewed on their level of participation in the elaboration and implementation of local conventions, and their perception on their benefits and challenges. Data analysis of this study is on-going. To learn more about this dataset, please visit the ILRI Datasets Portal http://data.ilri.org/portal/dataset/conventions_survey

× This study examines the sustainability of the impact of a biofortification program that introduced provitamin-A-rich orange-fleshed sweet potatoes (OSP) to farming households in Uganda. The crop was introduced in a randomized controlled experiment to test the impact and cost-effectiveness of introducing OSP on crop adoption and dietary intakes of vitamin A. A previous impact evaluation of the two-year project using baseline and endline data found large impacts on both OSP adoption and vitamin A consumption in project households. This study examines the sustainability of the intervention by studying the profile of OSP adoption during the project and over four seasons after the project’s end.

× The datasets contain field level trial data on low-input agriculture systems in Zambia. Project title: AfricaRISING- Sustainable Intensification of Maize-Legume-Livestock Integrated Farming Systems in East and Southern Africa Project abstract: Sustainable intensification of mixed crop-livestock systems is a key pathway towards better food security, improved livelihoods, and a healthy environment. As part of the US government?s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa, the project is being implemented in Tanzania and Malawi, and Zambia. In Tanzania, the project is being implemented in Babati and Kongwa districts in Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agro-ecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. The pilot site for the study will be Eastern and Lusaka Provinces in Zambia. Project website: http://africa-rising.net

× The project aims to evaluate the implications of sustainable intensification of crop and livestock production systems (SIPS) on human nutrition in northern Ethiopia. The existing infrastructure and ongoing research and development of the Innovation Lab for Small Scale Irrigation (ILSSI) in the Lake Tana basin of Northern Ethiopia is used as a platform to efficiently conduct research to evaluate SIPS for crop and livestock production and their environmental, economic and nutritional consequences.

× The project aims to evaluate the implications of sustainable intensification of crop and livestock production systems (SIPS) on human nutrition in northern Ethiopia. The existing infrastructure and ongoing research and development of the Innovation Lab for Small Scale Irrigation (ILSSI) in the Lake Tana basin of Northern Ethiopia is used as a platform to efficiently conduct research to evaluate SIPS for crop and livestock production and their environmental, economic and nutritional consequences.

× The project aims to evaluate the implications of sustainable intensification of crop and livestock production systems (SIPS) on human nutrition in northern Ethiopia. The existing infrastructure and ongoing research and development of the Innovation Lab for Small Scale Irrigation (ILSSI) in the Lake Tana basin of Northern Ethiopia is used as a platform to efficiently conduct research to evaluate SIPS for crop and livestock production and their environmental, economic and nutritional consequences.

× The Swaziland Social Accounting Matrix, 2007 is an update of the 2004 SAM using UN National Accounts data, UN Comtrade data and selected publications from the IMF, World Bank, and OECD/ADB. The SAM provides a detailed representation of the Swaziland economy. It separates 22 activities and 24 commodities; labor is disaggregated by 3 skill groups; and households into 6 groups based on the rural/urban and income status of the household head. The SAM is a useful database for conducting economy-wide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× Dual purpose crops that meet the demands of smallholders for food and feed have a higher likelihood of being adopted by farmers. Africa RISING project in the Ethiopian highlands in collaboration with Amhara Agricultural Research Institute has evaluated sweet lupine as an alternative dual-purpose crop which can serve as a source of food for humans and feed for livestock. As a legume crop, the grain contains high level of protein (above 35%), with minimum level of alkaloid content, as opposed to the local lupine variety grown in the North western part of the country. When harvested green, the forage contains up to 20% crude protein. This dataset includes the performance of two sweet lupine varieties (Vitabor and Sanabor) evaluated at different planting space (seed rate) in the Africa RISING sites.

× Tree Lucerne (Chamaecytisus palmensis) is a multipurpose fodder tree that grows very well in cooler highlands of Ethiopia and can serve as a source of high-quality protein supplement for farm animals. Despite its potential, the level of adoption and utilization is very limited. Africa RISING project in the Ethiopia highlands has conducted action research on tree Lucerne to fill knowledge gaps and promote its adoption. To recommend optimal level of use of the foliage, a feeding experiment was conducted using yearling Menz sheep. The experiment involved graded levels of tree Lucerne hay supplementation (100 g, 200 g, 300 g, and 400 g/day) to sheep fed barely straw basal diet ad libitum. The feeding trial lasted for 90 days followed by 7 days of digestibility trial and carcass evaluation. Data were generated on feed intake, nutrient digestibility, body weight gain, and carcass quality for the different treatments.

× As part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting three multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR) program. The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Ethiopia, Tanzania, Malawi, Mali, and (potentially) Zambia. 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.

× The Tanzania Social Accounting Matrix (SAM) for the year 2009 is a detailed representation of Tanzania's economy. It separates 58 activities and commodities; labor by different levels of education levels; and households by rural/urban areas as well as expenditure quintiles. Labor and household information are drawn from the most recent Tanzania Household Budget Survey. Finally, the SAM identifies government, investment, and foreign accounts. It is, therefore, an ideal tool for economywide impact assessments, including SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

× The producer/household survey was conducted to study teff value chains in order to make recommendations to policymakers on how to improve the value chain for farmers, wholesalers, retailers, and consumers in Ethiopia. The data collected in this survey helps to understand how the teff value chains are transforming in terms of quality and demand of teff, adoption of modern inputs in teff farming, farmers' access to inputs and services, their income and wealth among many other things.

× This data study explores integrating vegetable into cereal-legume cropping productions systems in Ghana. Project title: AfricaRISING - Sustainable Intensification of Cereal-based Farming Systems in the Guinea-Sudan-Savanna of Ghana and Mali. Project abstract: Four vegetable crops will be compared across subsets of 30-50 households in each of the 3 northern regions using two planting densities and they are Amaranth for Upper West Region, Jute Mallow for the Northern region and Roselle for the Upper East region. Three fruit vegetables (Okra in all the regions), African eggplant and tomato in the other two regions and one spice vegetable (Pepper), in all the three regions. Project website: http://africa-rising.net

× This study explores raising and sustaining productivity in cereal-legume cropping systems in northern Ghana. Project title: AfricaRISING - Sustainable Intensification of Cereal-Based Farming Systems in the Guinea-Sudan-Savanna of Ghana and Mali. Project abstract: In 2013, four mother-baby trials started to test and demonstrate crop variety and combinations of variety and agronomic options will continue for the second year. A split-plot design replicated in 4-6 communities per region will be used in the trials with 30 babies per community for each mother trial. Project website: https://africa-rising.net

× This data study contains farm trial data conducted on wheat.

× The Vietnam Social Accounting Matrix (SAM), VIETSAM, is constructed for 1996 and 1997, and includes 97 producing sectors with eight agricultural sectors, two agricultural service sectors and 13 food processing industries. In addition, the SAM includes five factors of production (three types of labor distinguished by skill level, one type of capital and one type of land), six household types (distinguished by rural/urban, agricultural/non-agricultural, wage/self-employed), and one account each for enterprises, government, investment/savings and rest-of-world. The rest-of-world account is a purely non-trade-related account that keeps track of financial transfers between Vietnamese institutions and the rest of the world. Imports and exports of goods and services are distinguished by trading partner - more specifically, 94 partner countries are identified.

× A multi-stage cluster survey was conducted in two rural rice-producing regions in Bangladesh in 2007-8 as the initial project of a HarvestPlus multi-stage research program to determine the potential impact of zinc-biofortified rice on the zinc and health status among children in Bangladesh who are at risk of zinc deficiency. The project protocol “Assessment of rice intakes and total dietary zinc intakes in rural Bangladesh” was conducted in collaboration with the University of California, Davis and the International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B). In each region, 240 children ages 24-48 months and their primary female caregiver were enrolled. Dietary information was collected primarily by direct observation and weighing of food preparation and consumption, including test weighing of milk intakes by breast-fed children. Height and weight were measured in all children and women, and in a subset of children, blood samples were collected and analyzed for concentrations of serum zinc and indicators of infection.

× This data was generated as a part of the research project undertaken to evaluate the influence of feeding and housing systems on the growth rate, survival rate, and diseases and loss incidences of local chicken flocks in three villages of Babati, Tanzania. A total of 912 chicks of six weeks of age were used for this study. The chicks were randomly allocated to four feeding and housing systems namely housed with home-made balanced feed, housed with non-balanced feeds (locally available ingredients mainly maize bran and grains), non-housed (scavenging) with supplementation of home-made balanced feeds, and non-housed (scavenging) relying entirely on scavengeable feed resources with rare supplementation of non-balanced feeds (locally available ingredients mainly maize bran/ grains/ kitchen left over) The chickens were monitored to the twentieth week of age when they attained their maturity.

× This project will address two critical gaps related to the integration of preventive and treatment programs: 1) screening and treatment of MAM/SAM have not yet been systematically integrated into routine health-center visits or mainstreamed into community outreach programs; and 2) screening programs often do not offer any preventive services for those children found not to be suffering from MAM/SAM at the time of screening; mothers of children identified as non-MAM/SAM case are usually sent home without receiving any health or nutrition inputs and as a result, may fail to come back for screening because they do not see any tangible benefit associated with their participation in the screening. This project will specifically address these gaps by assessing the effect of an integrated approach consisting of higher screening coverage and preventive Behavior Change Communication (BCC) + Small-Quantity Lipid-based Nutrient supplementation (SQ-LNS) on both prevention and treatment of child undernutrition.

× This project will address two critical gaps related to the integration of preventive and treatment programs: 1) screening and treatment of MAM/SAM have not yet been systematically integrated into routine health-center visits or mainstreamed into community outreach programs; and 2) screening programs do not offer any preventive services for those children found not to be suffering from MAM/SAM at the time of screening; mothers of children identified as non-MAM/SAM case are usually sent home without receiving any health or nutrition inputs and as a result, may fail to come back for screening because they do not see any tangible benefit associated with their participation in the screening. This project will specifically address these gaps by assessing the effect of an integrated approach consisting of higher screening coverage and preventive Behavior Change Communication (BCC) + Small-Quantity Lipid-based Nutrient supplementation (SQ-LNS) on both prevention and treatment of child undernutrition.