IFPRI Dataverse

The International Food Policy Research Institute (IFPRI) views the products of its research, including research datasets, as global public goods, and is committed to enabling their widespread distribution and use.

This is in keeping with the IFPRI Research Data Management and Open Access (RDMOA) Policy and the CGIAR Open Access and Data Management Policy.

The IFPRI Dataverse comprises datasets collected during the course of IFPRI research. These datasets include tables in various standard formats, survey instruments, codebooks, metadata, and other associated documentation. The Terms of Use require proper attribution of these datasets to IFPRI and any named authors.

Please direct questions about IFPRI datasets to IFPRI-Data or IFPRI-Library. For information on the latest resources and news on research data management, please visit IFPRI’s Research Data website.

Agricultural Science and Technology Indicators (ASTI) Dataverse

Nexus SAM

IFPRI HarvestChoice Dataverse

International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) Dataverse

Statistics on Public Expenditures for Economic Development (SPEED) Dataverse

Africa RISING Dataverse

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

71 to 80 of 950 Results

Assessment of the COVID-19 Pandemic Impact on Agriculture and Food Security in Tajikistan Oct 15, 2024 International Food Policy Research Institute (IFPRI), 2024, "Assessment of the COVID-19 Pandemic Impact on Agriculture and Food Security in Tajikistan", https://doi.org/10.7910/DVN/CKOL8D, Harvard Dataverse, V1, UNF:6:WqUrL1/v1QkQ+w7JrCDjtw== [fileUNF] This dataset comprises household farm survey data gathered through a phone-based survey in 2020 to generate insights on the impact of the COVID-19 pandemic on rural farm households in Tajikistan. Data collection occurred between September and October 2020 across 12 districts in southwest Khatlon, part of USAID’s Zone of Influence. The sample includ...
Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Bangladesh Oct 10, 2024 International Food Policy Research Institute (IFPRI), 2024, "Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Bangladesh", https://doi.org/10.7910/DVN/OBHUQ5, Harvard Dataverse, V1, UNF:6:RVOLFewjCqD++Dyl0eMQcw== [fileUNF] The datasets and questionnaires in this package come from the second phase of IFPRI's "Digital Financial Services Adoption among SMEs in the Midstream of Agricultural Value Chains" project. This phase focused on midstream actors in the rice and potato value chains in Bangladesh, using tailored surveys to explore their financial capabilities and con...
Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda Oct 10, 2024 International Food Policy Research Institute (IFPRI), 2024, "Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda", https://doi.org/10.7910/DVN/EXJKYH, Harvard Dataverse, V1, UNF:6:0f5lApU9XnPYyuQiSQxLgA== [fileUNF] The datasets and questionnaires included in this package are derived from the second phase of the International Food Policy Research Institute (IFPRI) project titled "Digital Financial Services Adoption among Small and Medium Enterprises (SMEs) in the Midstream of Agricultural Value Chains." This project focused on midstream actors within the arabi...
Preferences Over Decision-Making Oct 1, 2024 Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Preferences Over Decision-Making", https://doi.org/10.7910/DVN/M6F0UX, Harvard Dataverse, V3 The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovat...
Motivational Autonomy and Internalized Norms Oct 1, 2024 Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Motivational Autonomy and Internalized Norms", https://doi.org/10.7910/DVN/M9SQSS, Harvard Dataverse, V3, UNF:6:Vx1WOPL5XSZ/qHTOL3ZDcA== [fileUNF] The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovat...
Gender and Occupation: Automatic Cognition Test Oct 1, 2024 Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Gender and Occupation: Automatic Cognition Test", https://doi.org/10.7910/DVN/Y5JWAI, Harvard Dataverse, V3, UNF:6:0sLNE+q/1jUCxkDujqkFug== [fileUNF] The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovat...
Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania Aug 22, 2024 - Africa RISING Dataverse International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 2024, "Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania", https://doi.org/10.7910/DVN/VFF2EE, Harvard Dataverse, V1, UNF:6:mcRNQP+cJoqfmMZ1d3GUvA== [fileUNF] Data was collected from 138 caregivers of reproductive age (20-49 years) residing in four villages—Laikala, Mlali, Moleti, and Chitego—in Kongwa District, Dodoma Region, Tanzania. The caregivers were from households with school-aged children (5–12 years) and were randomly selected using the random walk sampling method. In each selected household, o...
Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines Aug 22, 2024 - Africa RISING Dataverse International Institute of Tropical Agriculture (IITA), 2022, "Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines", https://doi.org/10.7910/DVN/13YBCW, Harvard Dataverse, V2, UNF:6:maVmAVikWWBOU0Wa5hQ9LA== [fileUNF] This dataset is generated from the research study conducted to understand the willingness to pay (WTP) for small-scale maize shelling machines and to identify factors affecting the willingness to pay among farmers. The study was conducted in three districts in central and northern Tanzania (Kongwa, Kiteto, and Manyara districts). About 400 househol...
Africa RISING Tanzania- Maize Intensification Using Fertilizer Aug 21, 2024 - Africa RISING Dataverse World Agroforestry Center (ICRAF); Sokoine University of Agriculture (SUA), 2016, "Africa RISING Tanzania- Maize Intensification Using Fertilizer", https://doi.org/10.7910/DVN/6YPPQO, Harvard Dataverse, V2, UNF:6:/edJzlPnY2ynfiSh6AykoQ== [fileUNF] Using appropriate fertilizer recommendations and effective fertilizer materials is important to meet nutrient requirements of maize and sustain soil fertility. Unlike other agroecological zones, no fertilizer recommendations have been developed for the semi-arid zone in Tanzania, undermining the effort to target technologies in the specific biophys...
Evaluating Fertilizer Recommendations with Farmers Aug 20, 2024 - Africa RISING Dataverse World Agroforestry Center (ICRAF); Sokoine University of Agriculture (SUA), 2017, "Evaluating Fertilizer Recommendations with Farmers", https://doi.org/10.7910/DVN/TW1LEH, Harvard Dataverse, V2, UNF:6:hgIwpIDZz9A0KdpAifjRnQ== [fileUNF] 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 tra...

Assessment of the COVID-19 Pandemic Impact on Agriculture and Food Security in Tajikistan

Oct 15, 2024

International Food Policy Research Institute (IFPRI), 2024, "Assessment of the COVID-19 Pandemic Impact on Agriculture and Food Security in Tajikistan", https://doi.org/10.7910/DVN/CKOL8D, Harvard Dataverse, V1, UNF:6:WqUrL1/v1QkQ+w7JrCDjtw== [fileUNF]

This dataset comprises household farm survey data gathered through a phone-based survey in 2020 to generate insights on the impact of the COVID-19 pandemic on rural farm households in Tajikistan. Data collection occurred between September and October 2020 across 12 districts in southwest Khatlon, part of USAID’s Zone of Influence. The sample includ...

Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Bangladesh

Oct 10, 2024

International Food Policy Research Institute (IFPRI), 2024, "Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Bangladesh", https://doi.org/10.7910/DVN/OBHUQ5, Harvard Dataverse, V1, UNF:6:RVOLFewjCqD++Dyl0eMQcw== [fileUNF]

The datasets and questionnaires in this package come from the second phase of IFPRI's "Digital Financial Services Adoption among SMEs in the Midstream of Agricultural Value Chains" project. This phase focused on midstream actors in the rice and potato value chains in Bangladesh, using tailored surveys to explore their financial capabilities and con...

Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda

Oct 10, 2024

International Food Policy Research Institute (IFPRI), 2024, "Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda", https://doi.org/10.7910/DVN/EXJKYH, Harvard Dataverse, V1, UNF:6:0f5lApU9XnPYyuQiSQxLgA== [fileUNF]

The datasets and questionnaires included in this package are derived from the second phase of the International Food Policy Research Institute (IFPRI) project titled "Digital Financial Services Adoption among Small and Medium Enterprises (SMEs) in the Midstream of Agricultural Value Chains." This project focused on midstream actors within the arabi...

Preferences Over Decision-Making

Oct 1, 2024

Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Preferences Over Decision-Making", https://doi.org/10.7910/DVN/M6F0UX, Harvard Dataverse, V3

The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovat...

Motivational Autonomy and Internalized Norms

Oct 1, 2024

Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Motivational Autonomy and Internalized Norms", https://doi.org/10.7910/DVN/M9SQSS, Harvard Dataverse, V3, UNF:6:Vx1WOPL5XSZ/qHTOL3ZDcA== [fileUNF]

Gender and Occupation: Automatic Cognition Test

Oct 1, 2024

Measures for Advancing Gender Equality (MAGNET) Initiative, 2024, "Gender and Occupation: Automatic Cognition Test", https://doi.org/10.7910/DVN/Y5JWAI, Harvard Dataverse, V3, UNF:6:0sLNE+q/1jUCxkDujqkFug== [fileUNF]

Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania

Aug 22, 2024 - Africa RISING Dataverse

International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 2024, "Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania", https://doi.org/10.7910/DVN/VFF2EE, Harvard Dataverse, V1, UNF:6:mcRNQP+cJoqfmMZ1d3GUvA== [fileUNF]

Data was collected from 138 caregivers of reproductive age (20-49 years) residing in four villages—Laikala, Mlali, Moleti, and Chitego—in Kongwa District, Dodoma Region, Tanzania. The caregivers were from households with school-aged children (5–12 years) and were randomly selected using the random walk sampling method. In each selected household, o...

Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines

Aug 22, 2024 - Africa RISING Dataverse

International Institute of Tropical Agriculture (IITA), 2022, "Exploring Smallholder Farmers’ Willingness to Pay for Mechanization in Tanzania: The Case of Maize Shelling Machines", https://doi.org/10.7910/DVN/13YBCW, Harvard Dataverse, V2, UNF:6:maVmAVikWWBOU0Wa5hQ9LA== [fileUNF]

This dataset is generated from the research study conducted to understand the willingness to pay (WTP) for small-scale maize shelling machines and to identify factors affecting the willingness to pay among farmers. The study was conducted in three districts in central and northern Tanzania (Kongwa, Kiteto, and Manyara districts). About 400 househol...

Africa RISING Tanzania- Maize Intensification Using Fertilizer

Aug 21, 2024 - Africa RISING Dataverse

World Agroforestry Center (ICRAF); Sokoine University of Agriculture (SUA), 2016, "Africa RISING Tanzania- Maize Intensification Using Fertilizer", https://doi.org/10.7910/DVN/6YPPQO, Harvard Dataverse, V2, UNF:6:/edJzlPnY2ynfiSh6AykoQ== [fileUNF]

Using appropriate fertilizer recommendations and effective fertilizer materials is important to meet nutrient requirements of maize and sustain soil fertility. Unlike other agroecological zones, no fertilizer recommendations have been developed for the semi-arid zone in Tanzania, undermining the effort to target technologies in the specific biophys...

Evaluating Fertilizer Recommendations with Farmers

Aug 20, 2024 - Africa RISING Dataverse

World Agroforestry Center (ICRAF); Sokoine University of Agriculture (SUA), 2017, "Evaluating Fertilizer Recommendations with Farmers", https://doi.org/10.7910/DVN/TW1LEH, Harvard Dataverse, V2, UNF:6:hgIwpIDZz9A0KdpAifjRnQ== [fileUNF]

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 tra...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications