Subscribe

Back

Who we are

With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

researcher spotlight

Elodie Becquey

Elodie Becquey is a Senior Research Fellow in the Nutrition, Diets, and Health Unit, based in IFPRI’s West and Central Africa office in Senegal. She has over 15 years of research experience in diet, nutrition, and food security in Africa, including countries such as Burkina Faso, Chad, Ethiopia, Ghana, Kenya, Mali, and Tanzania.

Back

What we do

Since 1975, IFPRI’s research has been informing policies and development programs to improve food security, nutrition, and livelihoods around the world.

Research topics

Projects and impact

Modeling tools

Project microsites

AI search assistant

What’s new

Where we work

Back

Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

IFPRI Regional Programs

IFPRI Country Programs

Research by country and region

Subscribe

IFPRI Datasets

Explore Our Latest Datasets

Type
Author
Keyword
Country
Year
foreach ($resultsArray->keywords as $keyword) { $searchDisplay .= ‘ }
By Title By Author By Country/Region By Keyword
Total 100 records
Copy all 100 citations
1 to 10 of 100

Dataset

Tajikistan Rural Household Survey (TRHS) 2025

2026International Food Policy Research Institute
Details

Tajikistan Rural Household Survey (TRHS) 2025

The Tajikistan Rural Household Survey (TRHS) is a survey data collection effort led by the International Food Policy Research Institute (IFPRI) and the Tajik Academy of Agricultural Sciences (TAAS). It is an ambitious attempt to generate data critical to filling pertinent evidence gaps on the livelihoods and the resilience of rural households in Tajikistan. The TRHS interviewed 3,267 households in the country’s three most populated regions (Sughd Region, Khatlon Region, and Districts of Republic Subordination). The in-person household survey includes a household-level questionnaire that was administered to any knowledgeable adult household member. An accompanying individual-level questionnaire was administered in private to one randomly selected household member, aged 18 to 54 years old. In households were no adult was present in the specified age range, another household member 55 years or older was allowed to respond to the individual-level questionnaire. The dataset also consists of a brief enumerator survey.

Year published

2026

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2026. Tajikistan Rural Household Survey (TRHS) 2025. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/YPTNYW. Harvard Dataverse. Version 1.

Country/Region

Tajikistan

Keywords

Central Asia; Asia; Income; Gender; Agriculture; Livelihoods; Rural Areas

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/yptnyw Source record

Project

Gender Equality

Record type

Dataset

Dataset

Ultra-poor Graduation Midline Survey in Somalia, 2023

2025International Food Policy Research Institute
Details

Ultra-poor Graduation Midline Survey in Somalia, 2023

This dataset comes from the midline survey of a randomized impact evaluation of the Ultra-Poor Graduation (UPG) Model implemented by World Vision Somalia in internally displaced persons (IDP) camps in Baidoa, Somalia. The UPG program supports extremely vulnerable households through a combination of cash transfers, savings groups, productive asset or skills training, and life-skills coaching. The midline survey, conducted from July 22 to August 7, 2023, followed up with households to assess progress toward improved food security, household consumption, and asset accumulation, along with secondary outcomes on financial inclusion, income generation, consumption patterns, social cohesion, and locus of control. Eligible households were identified using a vulnerability assessment based on the Household Hunger Scale and length of residence in the IDP site. Of 6,323 eligible households, 5,000 were enrolled, and 4,116 households (2,872 treatment and 1,244 control) were included in the evaluation. The evaluation survey tracks approximately 4,000 households over three years (2022â 2024) to assess how effectively the UPG model reduces poverty and strengthens resilience in an urban humanitarian context.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Midline Survey in Somalia, 2023. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/207AK5. Harvard Dataverse. Version 1.

Country/Region

Somalia

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Internally Displaced Persons; Conflicts; Natural Disasters; Women; Unemployment; Poverty; Livelihoods; Livestock; Development

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/207ak5 Source record

Record type

Dataset

Dataset

Ultra-poor Graduation Endline Survey in Somalia, 2024

2025International Food Policy Research Institute
Details

Ultra-poor Graduation Endline Survey in Somalia, 2024

This dataset comes from the endline survey of a randomized impact evaluation of the Ultra-Poor Graduation (UPG) Model implemented by World Vision Somalia in internally displaced persons (IDP) camps in Baidoa, Somalia. The UPG program supports extremely vulnerable households through a combination of cash transfers, savings groups, productive asset or skills training, and life-skills coaching. The endline survey, conducted from September 27 to October 20, 2024, collected follow-up data to assess final program outcomes on food security, household consumption, and asset accumulation, as well as financial inclusion, income generation, social cohesion, and locus of control. Eligible households were identified through a vulnerability assessment based on the Household Hunger Scale (HHS) and length of residence in the IDP site. Of 6,323 eligible households, 5,000 were enrolled, with 4,116 households (2,872 treatment and 1,244 control) included in the evaluation sample. The survey tracks households over three years (2022–2024) to assess the UPG model’s effectiveness in reducing poverty and strengthening household resilience in an urban humanitarian context.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Endline Survey in Somalia, 2024. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/4QFPA7. Harvard Dataverse. Version 1.

Country/Region

Somalia

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Internally Displaced Persons; Conflicts; Natural Disasters; Women; Unemployment; Poverty; Livelihoods; Livestock; Development

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/4qfpa7 Source record

Record type

Dataset

Dataset

Food Security Simulator – Malawi

2025International Food Policy Research Institute
Details

Food Security Simulator – Malawi

The Food Security Simulator Malawi (FSS-MWI) 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, along with changes in preferences, 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.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Food Security Simulator – Malawi. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/YOWPV9. Harvard Dataverse. Version 1.

Country/Region

Malawi

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Food Security; Consumer Behaviour; Diet Quality; Food Consumption; Simulation Models

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/yowpv9 Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2024 Social Accounting Matrix for Egypt

2025International Food Policy Research Institute
Details

2024 Social Accounting Matrix for Egypt

The 2024 Egypt Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2024 Social Accounting Matrix for Egypt. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/OSMX3D. Harvard Dataverse. Version 1.

Country/Region

Egypt

Keywords

Northern Africa; Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/osmx3d Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2023 Social Accounting Matrix for Sierra Leone

2025International Food Policy Research Institute
Details

2023 Social Accounting Matrix for Sierra Leone

The 2023 Sierra Leone Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Sierra Leone. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/LSMGLL. Harvard Dataverse. Version 1.

Country/Region

Sierra Leone

Keywords

Western Africa; Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/lsmgll Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2023 Social Accounting Matrix for Philippines

2025International Food Policy Research Institute
Details

2023 Social Accounting Matrix for Philippines

The 2023 Philippines Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Philippines. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/WQXUQW. Harvard Dataverse. Version 1.

Country/Region

Philippines

Keywords

South-eastern Asia; Asia; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/wqxuqw Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2023 Social Accounting Matrix for Vietnam

2025International Food Policy Research Institute
Details

2023 Social Accounting Matrix for Vietnam

The 2023 Vietnam Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Vietnam. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/9EHOYK. Harvard Dataverse. Version 1.

Country/Region

Vietnam

Keywords

South-eastern Asia; Asia; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labor; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/9ehoyk Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Nepal

2025International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Nepal

The 2022 Nepal Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2022 Social Accounting Matrix for Nepal. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/FPQHBR. Harvard Dataverse. Version 1.

Country/Region

Nepal

Keywords

Southern Asia; Asia; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/fpqhbr Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2023 Social Accounting Matrix for Indonesia

2025International Food Policy Research Institute
Details

2023 Social Accounting Matrix for Indonesia

The 2023 Indonesia Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Indonesia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/SXTMAX. Harvard Dataverse. Version 1.

Country/Region

Indonesia

Keywords

South-eastern Asia; Asia; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/sxtmax Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2023 Social Accounting Matrix for Sri Lanka

2025International Food Policy Research Institute
Details

2023 Social Accounting Matrix for Sri Lanka

The 2023 Sri Lanka Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2025. 2023 Social Accounting Matrix for Sri Lanka. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/J65L1Y. Harvard Dataverse. Version 1.

Country/Region

Sri Lanka

Keywords

Southern Asia; Asia; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/j65l1y Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2019 Social Accounting Matrix for Honduras

2025International Food Policy Research Institute
Details

2019 Social Accounting Matrix for Honduras

The 2019 Honduras Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2019 Social Accounting Matrix for Honduras. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/Z0UIKQ. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Central America; Latin America and the Caribbean; Americas; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Computable General Equilibrium Models; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/z0uikq Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2023 USAID/IFPRI Population-Based Survey (PBS) for Khatlon Province, Tajikistan

2025International Food Policy Research Institute
Details

2023 USAID/IFPRI Population-Based Survey (PBS) for Khatlon Province, Tajikistan

The 2023 USAID/IFPRI Population-Based Survey (PBS) for Khatlon Province, Tajikistan, is a collaborative data collection effort led by the International Food Policy Research Institute (IFPRI) and the Tajik Academy of Agricultural Sciences (TAAS). This survey was designed as a panel dataset linked to the 2015 Interim Zone of Influence (ZOI) Survey, with the aim of capturing household livelihood characteristics in the study area. Both the 2023 PBS and the 2015 Interim ZOI Survey collect detailed data on community, household, and individual characteristics of respondents. In total, the 2023 PBS covers 2,000 households. The survey employed two types of questionnaires: A household-level questionnaire, administered to any knowledgeable household member; and An individual-level questionnaire, administered privately to one randomly selected male and one randomly selected female household member. Unlike the 2015 survey, the 2023 survey did not specifically target the main male and female decision-makers in the household. Enumerators successfully completed the household-level questionnaire for all 2,000 households across 99 villages, consistent with the survey sample design. However, they encountered challenges in administering the individual-level questionnaire to the selected respondents. As a result, the individual-level dataset includes interviews with 535 male respondents and 1,170 female respondents.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2023 USAID/IFPRI Population-Based Survey (PBS) for Khatlon Province, Tajikistan. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/LCKCU1. Harvard Dataverse. Version 1.

Country/Region

Tajikistan

Keywords

Central Asia; Asia; Household Surveys; Women’s Empowerment; Migration; Remittances; Income; Agriculture; Nutrition; Livelihoods; Rural Areas

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/lckcu1 Source record

Project

Gender Equality

Record type

Dataset

Dataset

Nature+ Quantitative Baseline Survey, India

2025International Food Policy Research Institute; Alliance of Bioversity International and the International Center for Tropical Agriculture
Details

Nature+ Quantitative Baseline Survey, India

In 2023, the Nature Positive Solutions (Nature+) Baseline survey was conducted in India, specifically focusing on the districts of Ahmednagar, Nashik, and Nandurbar in Maharashtra. The primary objective of the study was to assess the socio-economic conditions and agricultural systems in these regions, establishing a baseline to guide ongoing Nature+ interventions. The survey encompassed 1,228 smallholder farmer households, comprising 610 treated and 618 control households. Data collection utilized a two-stage sampling method and evaluated a range of variables, including socio-economic characteristics, agricultural practices, land use, nutrition, and the adoption of Nature+ practices. This comprehensive data will facilitate the assessment of Nature+ impacts on inclusion, poverty alleviation, food security, livelihoods, and environmental sustainability. In addition, the survey included interviews with 27 communities, gathering information on socio-demographic characteristics, access to essential services, land ownership patterns, agricultural practices, extension services, and community-wide shocks. All monetary values are reported in Indian Rupees (INR).

Year published

2025

Authors

International Food Policy Research Institute; Alliance of Bioversity International and the International Center for Tropical Agriculture

Citation

International Food Policy Research Institute (IFPRI); Alliance of Bioversity International and the International Center for Tropical Agriculture. 2025. Nature+ Quantitative Baseline Survey, India. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/QTGQKG. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Agrifood Systems; Baseline Studies; Sustainable Agriculture; Natural Resources Management; Land Degradation; Food Security; Climate Change; Intensive Farming

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/qtgqkg Source record

Project

Nature-Positive Solutions

Record type

Dataset

Dataset

Replication Data for “Price and Volatility Transmission from International to Domestic Food and Fertilizer Markets in Central America”

2025International Food Policy Research Institute
Details

Replication Data for “Price and Volatility Transmission from International to Domestic Food and Fertilizer Markets in Central America”

This dataset contains replication data files for the paper “Price and Volatility Transmission from International to Domestic Food and Fertilizer Markets in Central America.” The study analyzes how international prices affect domestic price levels and volatility for key food commodities and agricultural inputs in selected Central American countries. The dataset includes time series data on domestic and international prices for 26 staple foods, cash crops, and agricultural inputs across seven Central American countries: Costa Rica, Dominican Republic, El Salvador, Guatemala, Honduras, Panama, and Nicaragua. It covers: Staple foods essential to local diets: rice, beans, maize (corn), and wheat; Major export crops: bananas and coffee; Commonly used fertilizers: diammonium phosphate (DAP), urea, and ammonium nitrate. Domestic prices were compiled from sources such as the Food and Agriculture Organization of the United Nations (FAO), the World Food Programme (WFP), and national market information systems. International prices were obtained from the FAO Statistical Database (FAOSTAT), Bloomberg, the International Coffee Organization, and the United States Department of Agriculture (USDA). All prices are reported in United States dollars (USD) and include monthly returns, enabling analysis of both price levels and price volatility. The replication files include raw and processed price data; Stata or Matlab scripts used in the analysis. These materials are intended to allow full replication of the results reported in the paper and support further research on food price transmission and volatility in developing regions.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Replication Data for “Price and Volatility Transmission from International to Domestic Food and Fertilizer Markets in Central America”. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/JAKVKD. Harvard Dataverse. Version 1.

Country/Region

Costa Rica; El Salvador; Dominican Republic; Guatemala; Honduras; Nicaragua; Panama

Keywords

Central America; Latin America and the Caribbean; Americas; Food Prices; Fertilizers; Price Volatility; Inflation; Food Security; Markets

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/jakvkd Source record

Record type

Dataset

Dataset

Replication Data for “COVID-19 and Rural Livelihoods: Lessons from a Longer-Term Assessment in Guatemala”

2025International Food Policy Research Institute
Details

Replication Data for “COVID-19 and Rural Livelihoods: Lessons from a Longer-Term Assessment in Guatemala”

The dataset comprises a panel of 1,262 agricultural households from 86 communities across the departments of Huehuetenango, Quiché, and San Marcos in Guatemala. These households were first surveyed in person in November December 2019 (baseline) and subsequently by phone in follow-up rounds conducted in May June 2020, 2021, and 2022 to assess the impacts of COVID-19 on rural livelihoods and food security. The baseline survey collected detailed information on household socioeconomic characteristics, food security, dietary diversity, migration attitudes, and other economic and financial indicators. The follow-up rounds tracked changes in selected economic, nutritional, and food security outcomes over the three years following the COVID-19 outbreak, while also capturing the effects of additional shocks such as extreme weather events. An additional round was conducted in November December 2022 with a subsample of 777 households, replicating the baseline survey to allow for direct comparisons.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Replication Data for “COVID-19 and Rural Livelihoods: Lessons from a Longer-Term Assessment in Guatemala”. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/WCOYGW. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Central America; Latin America and the Caribbean; Americas; Covid-19; Livelihoods; Food Security; Dietary Diversity; Migration; Expenditure; Extreme Weather Events; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/wcoygw Source record

Record type

Dataset

Dataset

Aflatoxin surveillance in Kenya

2025International Food Policy Research Institute
Details

Aflatoxin surveillance in Kenya

The dataset contains results of a project measuring the prevalence of aflatoxin contamination in maize purchased at retail sites across Kenya in 2021. Samples of packaged flour and informally milled (posho) flour were purchased from a variety of retailers across ten urban sampling sites every two months for a duration of one year. Samples were transported after purchase to the University of Nairobi for laboratory analysis to measure the prevalence of aflatoxin contamination. The results of this analysis are included in this dataset, along with information on the location of the mill where the flour was processed, the sampling location where it was purchased, the timing of data collection and the type of flour.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Aflatoxin Surveillance in Kenya. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/XGNOD4. Harvard Dataverse. Version 1.

Country/Region

Kenya

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Aflatoxins; Mycotoxins; Storage; Maize; Flours; Milling Quality

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/xgnod4 Source record

Project

Sustainable Healthy Diets

Record type

Dataset

Dataset

Yangon Peri-Urban Poultry Farmer Phone Survey 2020

2025International Food Policy Research Institute
Details

Yangon Peri-Urban Poultry Farmer Phone Survey 2020

The Yangon Peri-Urban Poultry Farmer Survey, conducted in 2020, assessed the impact of the COVID-19 pandemic on poultry production. This phone-based survey was carried out in six rounds: the first four rounds were conducted biweekly in June and July 2020, while the fifth and sixth rounds took place in August and November, respectively. The survey focused on a subsample of 269 chicken farms, comprising 190 broiler farms and 79 layer farms, from the 2019 Yangon Peri-Urban Livestock Survey. This subsample included all broiler and layer farms from the original survey that were reachable by phone and consented to participate. Among the surveyed farms, 74% of the broiler farms and 52% of the layer farms were integrated with fishponds. The questionnaire gathered data on farm operational status, business operations, and business sentiment.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Yangon Peri-Urban Poultry Farmer Phone Survey 2020. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/IY66P9. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

South-eastern Asia; Asia; Covid-19; Livestock; Poultry; Farms; Fish Farming; Commercial Farming; Peri-urban Agriculture

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/iy66p9 Source record

Record type

Dataset

Dataset

Yangon Peri-urban Livestock Survey 2019

2025International Food Policy Research Institute
Details

Yangon Peri-urban Livestock Survey 2019

The Yangon Peri-urban Livestock Survey, conducted in 2019, sampled commercial livestock farms within a 100 km radius of central Yangon. In the absence of any publicly available registry of livestock farms, a sample frame was developed by analyzing satellite images to identify the location of poultry-fish farms. A complete listing of livestock farms was conducted in all selected villages. The minimum size for inclusion of poultry farms in the survey was set at 500 chickens per farm, as the survey was designed to capture information on commercial farming operations. All farms in selected villages at or above this threshold were selected with 100% probability. The survey questionnaire was designed to collect detailed information on farm production practices and production economics. Interviews were conducted face to face with farm owners by trained enumerators on the respondents’ farms. The final dataset is comprised of data from 513 farms, of which 423 chicken farms.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Yangon Peri-urban Livestock Survey 2019. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/LKAQYF. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

South-eastern Asia; Asia; Livestock; Poultry; Farms; Fish Farming; Commercial Farming; Peri-urban Agriculture

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/lkaqyf Source record

Record type

Dataset

Dataset

A&T Gujarat Implementation Research Baseline Survey 2022: Frontline Workers

2025International Food Policy Research Institute
Details

A&T Gujarat Implementation Research Baseline Survey 2022: Frontline Workers

This dataset originates from the Frontline Workers (FLW) Survey, conducted as part of the baseline for the impact evaluation of the Alive & Thrive (A&T) project in Gujarat, India. The study assessed the effectiveness of systems-strengthening interventions and local governance engagement in improving the quality and co-coverage of health and nutrition services in Gujarat, India. The baseline survey was conducted from March to May 2022 across three districts, namely Bharuch, Surat, and Mahesana, in 26 blocks, with 13 blocks randomly assigned to intervention and control groups and one additional urban block in Surat. It was implemented by the International Food Policy Research Institute (IFPRI) in collaboration with the survey firm Network for Engineering and Economics Research and Management (NEERMAN). The FLW Survey collected baseline data on service delivery practices, training, supervision, and challenges faced by frontline workers. It included the following modules: Identification; Demographic Information; Training Exposure; Service Delivery; Supervision; Knowledge of Maternal Nutrition and Infant and Young Child Feeding (IYCF) Practices; Facilitators and Challenges; Motivation, Satisfaction, and Self-Confidence. This dataset provides valuable insights into frontline worker performance, motivation, and support systems, contributing to the broader evaluation of how integrated systems-strengthening strategies can improve service delivery during the first 1,000 days of life.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. A&T Gujarat Implementation Research Baseline Survey 2022: Frontline Workers. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/1SXCLG. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Baseline Studies; Decision Making; Health; Health Communication; Nutrition; Nutrition Education; Maternal Nutrition; Infant Feeding; Breast Feeding; Child Nutrition

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/1sxclg Source record

Record type

Dataset

Dataset

A&T Gujarat Implementation Research Baseline Survey 2022: Pregnant Women

2025International Food Policy Research Institute
Details

A&T Gujarat Implementation Research Baseline Survey 2022: Pregnant Women

This dataset comes from the Pregnant Women Survey, conducted as part of the baseline for the Alive & Thrive (A&T) impact evaluation in Gujarat, India. The study assessed how systems-strengthening interventions and local governance efforts improved the quality and coverage of nutrition and health services during pregnancy. The survey, carried out in three districts (Bharuch, Surat, Mahesana) between March–May 2022, collected data from women in both intervention and control blocks. It was implemented by IFPRI in partnership with Network for Engineering and Economics Research and Management (NEERMAN). The questionnaire consisted of multiple modules designed to gather comprehensive information on pregnant women’s experiences, knowledge, and service exposure. These data offer valuable insights into the reach and quality of nutrition and health services, particularly the delivery of Integrated Child Development Services (ICDS) by frontline workers such as Anganwadi Workers (AWWs) and Accredited Social Health Activists (ASHAs), as well as the effectiveness of supervisory systems and local governance in addressing service gaps.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. A&T Gujarat Implementation Research Baseline Survey 2022: Pregnant Women. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/MCH4TJ. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Baseline Studies; Decision Making; Health; Health Communication; Nutrition; Nutrition Education; Maternal Nutrition; Infant Feeding; Breast Feeding

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/mch4tj Source record

Record type

Dataset

Dataset

A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre

2025International Food Policy Research Institute
Details

A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre

This dataset originates from the Supervisory Cadre Survey, conducted as part of the baseline for the Alive & Thrive (A&T) impact evaluation study in Gujarat, India. The survey collected data from various supervisory roles, including Mukhya Sevika (MS), ASHA Facilitators (ASHA-F), Auxiliary Nurse Midwives (ANMs), Female Health Supervisors (FHS), Taluka Health Visitors (THVs), Child Development Project Officers (CDPOs), District Program Officers (DPOs), Taluka Health Officers (THOs), and Chief District Health Officers (CDHOs). The baseline survey was conducted from March to May 2022 in 26 blocks across three districts namely Bharuch, Surat, and Mahesana. Thirteen blocks were randomly assigned to intervention and control groups, with an additional urban block in Surat. The survey was carried out by the International Food Policy Research Institute (IFPRI) in collaboration with Network for Engineering and Economics Research and Management (NEERMAN). The Supervisory Cadre Survey included the following modules: Identification; Demographic Information; Training Experience; Supervision Practices; Use of Technology; Motivation and Self-Confidence; Knowledge of Maternal Nutrition and Infant and Young Child Feeding (IYCF) Practices. This dataset provides key insights into supervisory systems, their role in supporting frontline workers, and how well-equipped they are to facilitate improvements in nutrition and health service delivery during the first 1,000 days of life.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/Q7OEKU. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Baseline Studies; Decision Making; Health; Health Communication; Nutrition; Nutrition Education; Maternal Nutrition; Infant Feeding; Breast Feeding; Child Nutrition

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/q7oeku Source record

Record type

Dataset

Dataset

A&T Gujarat Implementation Research Baseline Survey 2022: Women with Children

2025International Food Policy Research Institute
Details

A&T Gujarat Implementation Research Baseline Survey 2022: Women with Children

This dataset originates from the survey of women with children under 2 years, conducted as part of the baseline for the impact evaluation of the Alive & Thrive (A&T) project in Gujarat, India. The survey was designed to assess the effectiveness of systems-strengthening interventions and local governance engagement in improving the quality and co-coverage of health and nutrition services during the first 1,000 days of life. The baseline survey used a quasi-experimental design and was conducted in three districts, namely Bharuch, Surat, and Mahesana, covering 26 blocks. Thirteen blocks (4 from Bharuch, 4 from Surat, and 5 from Mahesana) were randomly assigned to the intervention and control groups, with an additional urban block from Surat included. Data collection took place between March and May 2022 and was led by the International Food Policy Research Institute (IFPRI) in collaboration with the survey firm Network for Engineering and Economics Research and Management (NEERMAN). The Women with Children Survey includes modules on: Administrative Details; Personal and Household Schedule; Household Assets and Dwelling Characteristics; Household-Level Social Protection; Exposure to Services During Pregnancy; Exposure to Services During Delivery and Early Childhood; Interaction with Frontline Workers (FLWs); Take-Home Rations (THR); Knowledge of Maternal Nutrition and Infant and Young Child Feeding (IYCF) Practices; Household Food Security; Women’s Dietary Intake; Infant and Young Child Feeding Practices (for the youngest child aged 0–24 months). These data provide rich insights into maternal and child health behaviors, service access and quality, and the pathways through which systems-strengthening interventions may improve nutrition outcomes during the critical early years of life.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. A&T Gujarat Implementation Research Baseline Survey 2022: Women with Children. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/NRUYGD. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Baseline Studies; Children; Decision Making; Health; Health Communication; Nutrition; Nutrition Education; Maternal Nutrition; Infant Feeding; Breastfeeding

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/nruygd Source record

Record type

Dataset

Dataset

A&T Gujarat Implementation Research Baseline Survey 2022: Panchayati Raj Institution Members

2025International Food Policy Research Institute
Details

A&T Gujarat Implementation Research Baseline Survey 2022: Panchayati Raj Institution Members

This dataset originates from the survey of PRI Members Survey, conducted as part of the baseline for the Alive & Thrive (A&T) impact evaluation study in Gujarat, India. The study aimed to assess the effectiveness of systems-strengthening interventions and local governance engagement in improving the quality and co-coverage of health and nutrition services, particularly during the first 1,000 days of a child’s life. The baseline survey was conducted from March to May 2022 in three districts, namely Bharuch, Surat, and Mahesana, across 26 blocks. Thirteen blocks were randomly assigned to intervention and control groups, with one additional urban block from Surat. The survey was implemented by the International Food Policy Research Institute (IFPRI), in collaboration with the survey firm Network for Engineering and Economics Research and Management (NEERMAN). The PRI Members Survey collected information on local leaders’ involvement in nutrition and health initiatives, their awareness of service needs, and their interaction with beneficiary households. The survey included the following modules: Identification Demographic Information Training Exposure Awareness of Services for First 1,000-Day Households Interaction with Beneficiaries Knowledge of Maternal Nutrition and Infant and Young Child Feeding (IYCF) Practices This dataset contributes to understanding the role of local governance in supporting multisectoral service delivery, as part of a broader effort to scale effective nutrition interventions through the A&T initiative.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. A&T Gujarat Implementation Research Baseline Survey 2022: Panchayati Raj Institution Members. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/B4AZ7H. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Baseline Studies; Decision Making; Health; Governance; Health Communication; Nutrition; Nutrition Education; Maternal Nutrition; Infant Feeding; Breast Feeding; Child Nutrition; Training

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/b4az7h Source record

Record type

Dataset

Dataset

Experiential Learning for Groundwater Governance in India: Groundwater Game Surveys

2025International Food Policy Research Institute; Foundation for Ecological Security; International Crops Research Institute for the Semi-Arid Tropics
Details

Experiential Learning for Groundwater Governance in India: Groundwater Game Surveys

The Scaling up experiential learning tools for sustainable water governance project aims to enhance the capacity of Indian communities to sustainably manage water resources. The intervention combined collective action games, participatory planning tools, and community debriefings to promote behavioral shifts toward sustainable groundwater and surface water management. These tools are designed to support informed decision-making, foster collective action, and strengthen governance of water as a common resource. The project included a mixed-methods impact evaluation. The study took place in 4 districts across 3 Indian states: Chittoor and Anantpur (Andhra Pradesh), Bhilwara (Rajasthan), and Chikbalapur (Karnataka). Data collection took place over two rounds. The baseline survey was conducted between October 2021 and May 2022, followed by the intervention. The endline survey was implemented from January to June 2023. The data available here are from both survey rounds, which included individual surveys, focus group discussions (FGDs), and key informant interviews (KIIs) across treatment and control sites, with baseline and endline results included in the same datasets. Within each survey type, multiple datasets are available and are organized according to the structure of the corresponding survey modules. Some datasets are at the individual or household-member level, for example roster datasets that include information on all household members, not just the primary respondent. Others, such as the crop and water modules, are organized at the level of specific activities or resources, capturing details on each crop grown or water source used within a household. All datasets include a variable “unique_ID” which relates to the “habitation,” (a sub-village administrative division) where that obervation was collected, and a “TreatmentControl” variable which denotes whether or not that observation belonged to the treated group or the control group (note: treatment is assigned at the habitation level). Additionally, the individual surveys include an “individual_id” variable, corresponding to the individual respondent.

Year published

2025

Authors

International Food Policy Research Institute; Foundation for Ecological Security; International Crops Research Institute for the Semi-Arid Tropics

Citation

International Food Policy Research Institute (IFPRI); Foundation for Ecological Security (FES); International Crops Research Institute for the Semi-arid Tropics (ICRISAT). 2025. Experiential Learning for Groundwater Governance in India: Groundwater Game Surveys. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/8EGMOT. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Southern Asia; Asia; Experiential Learning; Agriculture; Groundwater; Groundwater Management; Governance; Water

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/8egmot Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Replication Data for “How Much Do Our Neighbors Really Know? The Limits of Community-Based Targeting”

2025International Food Policy Research Institute
Details

Replication Data for “How Much Do Our Neighbors Really Know? The Limits of Community-Based Targeting”

This dataset contains data and replication code for the study “How Much Do Our Neighbors Really Know? The Limits of Community-Based Targeting,” which examines the accuracy and determinants of information used by community members in participatory targeting exercises. The study was conducted in Purworejo Regency, Central Java, Indonesia, using a sample of 300 participants randomly selected across 10 neighborhood units (RTs). The data shared here is a subset of the full dataset used in the paper’s analysis. The baseline survey, conducted via in-person household visits in March–April 2021, collected data on demographic characteristics, community engagement, detailed consumption and asset ownership, exposure to shocks, and receipt of social benefits. Immediately following the survey, participants completed incentivized experimental tasks, including household wealth rankings and belief elicitation exercises related to other community members. A follow-up survey, conducted in June–July 2021 with a subsample of participants, re-administered selected ranking tasks to capture changes in perceptions over time. In each RT, a community meeting exercise was also held to generate a group-based consensus ranking of all participant households. This dataset supports replication of the study’s findings on the informational limits of community-based targeting and provides a rich resource for researchers working on social information, poverty targeting, behavioral economics, and participatory development interventions.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Replication Data for “How Much Do Our Neighbors Really Know? The Limits of Community-Based Targeting”. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/GFNRRW. Harvard Dataverse. Version 1.

Country/Region

Indonesia

Keywords

South-eastern Asia; Asia; Targeting; Information; Decision Making; Welfare; Social Networks

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/gfnrrw Source record

Record type

Dataset

Dataset

2018 Social Accounting Matrix for Rwanda

2025International Food Policy Research Institute
Details

2018 Social Accounting Matrix for Rwanda

The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2018 Rwanda SAM follows the Standard Nexus Structure. The open access version of the Rwanda SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the word.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. 2018 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/VO8EYG. Harvard Dataverse. Version 1.

Country/Region

Rwanda

Keywords

Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/vo8eyg Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Myanmar Household Welfare Survey (MHWS), Round 8

2025International Food Policy Research Institute
Details

Myanmar Household Welfare Survey (MHWS), Round 8

The eighth round of the Myanmar Household Welfare Survey (MHWS),a nationwide phone panel consisting of 12,058 households, was implemented between October, 2024 and December, 2024. 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.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Myanmar Household Welfare Survey (MHWS), Round 8. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/QM0VT0. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

South-eastern Asia; Asia; Welfare; Households; Livelihoods; Assets; Employment; Food Insecurity; Diet; Social Welfare; Migration; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/qm0vt0 Source record

Record type

Dataset

Dataset

Myanmar Household Welfare Survey (MHWS), Round 7

2025International Food Policy Research Institute
Details

Myanmar Household Welfare Survey (MHWS), Round 7

The seventh round of the Myanmar Household Welfare Survey (MHWS), a nationwide phone panel consisting of 12,800 households, was implemented between April 2024 and June 2024. 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.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Myanmar Household Welfare Survey (MHWS), Round 7. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/WA1P4X. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

South-eastern Asia; Asia; Welfare; Households; Livelihoods; Assets; Employment; Food Insecurity; Diet; Social Welfare; Migration; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/wa1p4x Source record

Record type

Dataset

Dataset

2021 Social Accounting Matrix for Okara District, Pakistan

2025International Food Policy Research Institute; International Water Management Institute
Details

2021 Social Accounting Matrix for Okara District, Pakistan

The 2021 Social Accounting Matrix for Okara District, Pakistan (SAM) dataset is part of an initiative to improve subnational economic modeling and policy analysis in Pakistan. The open-access version of the dataset disaggregates domestic production across key sectors with a special focus on agriculture and food systems. Factors of production include labor, land, and capital. Labor is further disaggregated by sector and skill level, where data allow. Households are categorized by rural and urban residence and by income or expenditure group, based on available survey data. Additional accounts include enterprises, government, taxes, savings-investment, and rest of the world to capture inter-institutional and inter-regional flows. This SAM follows a standardized structure to ensure comparability across districts and facilitate future updates and expansions. It serves as a template for developing SAMs in other districts and contributes to strengthening evidence-based policy design and regional economic planning in developing countries.

Year published

2025

Authors

International Food Policy Research Institute; International Water Management Institute

Citation

International Food Policy Research Institute (IFPRI); International Water Management Institute (IWMI). 2025. 2021 Social Accounting Matrix for Okara District, Pakistan. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/ENDU5F. Harvard Dataverse. Version 1.

Country/Region

Pakistan

Keywords

Southern Asia; Asia; Social Accounting Matrix; Household Consumption; Household Expenditure; Economic Indicators; Labour; Taxes

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/endu5f Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

Nature+ Quantitative Monitoring Household Survey, Colombia

2025International Food Policy Research Institute
Details

Nature+ Quantitative Monitoring Household Survey, Colombia

The NATURE+ survey conducted in Colombia integrated household and community-level questionnaires to develop a comprehensive understanding of the socio-economic, agricultural, and environmental dynamics influencing potential beneficiaries of NATURE+ interventions. The study focused on two key departments: Nariño and Putumayo. At the household level, the survey collected detailed socio-economic and demographic data, including household composition, education levels, land ownership, income sources, self-employment activities, and asset ownership. This information provides crucial insights into the economic conditions of the surveyed population. The survey also documented agricultural practices on farms and in chagras—traditional agroforestry systems maintained by Indigenous communities. Specific attention was given to crop and livestock production, crop biodiversity, and the use of fertilizers and pesticides. The survey further investigated the adoption of nature-positive solutions, including agroforestry practices, environmental management (such as waste handling and renewable energy use), and awareness of biodiversity benefits. Issues related to food security and dietary diversity were also addressed. At the community level, the questionnaire aimed to capture broader socio-economic, environmental, and institutional factors across selected communities in Cumbal (Nariño) and multiple municipalities in Putumayo. It gathered demographic estimates—such as population size, gender and age composition, and number of households—to construct a socio-economic profile of each community. The survey assessed the prevalence and benefits of nature-positive practices, such as biodiversity conservation, agroforestry, and sustainable land management. It also evaluated the role of external actors, including NGOs and extension agencies, in promoting these practices. Additional components covered community infrastructure, natural resource governance, and ongoing sustainability initiatives.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Nature+ Quantitative Monitoring Household Survey, Colombia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/XKBYDG. Harvard Dataverse. Version 1.

Country/Region

Colombia

Keywords

Americas; South America; Latin America and the Caribbean; Agrifood Systems; Sustainable Agriculture; Natural Resources Management; Land Degradation; Food Security

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/xkbydg Source record

Project

Nature-Positive Solutions

Record type

Dataset

Dataset

Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005–2050

2025International Food Policy Research Institute
Details

Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005–2050

This dataset presents percentage changes in agricultural yields due to climate change, comparing the projected yield in 2050 under two greenhouse gas emissions scenarios and 5 climate models, to the climate of 2005. The dataset includes spatially explicit outputs at a 0.5-degree resolution and covers seven key crops: maize, wheat, rice, soybeans, sorghum, groundnuts (peanuts), and potatoes. The analysis is done separately for growing under rainfed and irrigated conditions and includes separate results computed with and without CO2 fertilization. The yields used in the calculation were generated using the Decision Support System for Agrotechnology Transfer (DSSAT) crop model. The projections are driven by climate inputs from five global climate models (GCMs) included in the Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b), aligned with the Coupled Model Intercomparison Project phase 6 (CMIP6). Two Shared Socioeconomic Pathways—SSP370 and SSP585—are used to represent divergent climate and development trajectories. Simulations were conducted both with and without the effects of carbon dioxide (CO₂) fertilization.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005–2050. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/MXJDUC. Harvard Dataverse. Version 1.

Keywords

Africa; Sub-saharan Africa; Climate Change; Agriculture; Crop Modelling; Agricultural Production; Food Security; Crop Yield

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/mxjduc Source record

Project

Foresight

Record type

Dataset

Dataset

Food Security Simulator – Papua New Guinea

2025International Food Policy Research Institute
Details

Food Security Simulator – Papua New Guinea

The Food Security Simulator Papua New Guinea (FSS-PNG) 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, along with changes in preferences, 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.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Food Security Simulator – Papua New Guinea. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/B7IN6L. Harvard Dataverse. Version 1.

Country/Region

Papua New Guinea

Keywords

Oceania; Melanesia; Asia; Food Security; Consumer Behavior; Diet Quality; Food Consumption; Household Surveys; Simulation Models

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/b7in6l Source record

Record type

Dataset

Dataset

Replication Data for “How Agri-Food Value Chain Employment and Compensation Evolve with Structural Transformation”

2025International Food Policy Research Institute
Details

Replication Data for “How Agri-Food Value Chain Employment and Compensation Evolve with Structural Transformation”

This dataset contains replication materials for the results presented in the article “How Agri-Food Value Chain Employment and Compensation Evolve with Structural Transformation.” It includes instructions, raw data (excluding proprietary components), and code used to reproduce the data consolidation process and estimation results. The analysis relies on raw Eora Multi-Region Input-Output (MRIO) data, which are not included due to licensing restrictions. Researchers can obtain the MRIO data directly from Eora (academic discounts are available) to fully replicate the study’s analysis and findings.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Replication Data for “How Agri-Food Value Chain Employment and Compensation Evolve with Structural Transformation”. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/T6ON4W. Harvard Dataverse. Version 1.

Keywords

Agricultural Value Chains; Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/t6on4w Source record

Record type

Dataset

Dataset

HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey

2025International Food Policy Research Institute
Details

HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey

The HER+ Sustainable Land Management Study is a randomized controlled trial evaluating a bundled intervention that provides training and inputs (including 4-6 fruit tree seedlings, vegetable seeds, and tools) to encourage extremely poor rural Ethiopian households to adopt three complementary sustainable land management (SLM) practices: fruit tree planting, composting, and home gardening. The baseline survey was conducted in May-June 2023, followed by the intervention, with the endline study completed in May-June 2024. The study covers 95 sub-districts, with 20 households randomly selected in each sub-district from among beneficiaries of the Productive Safety Net Program (PSNP) who met pre-specified eligibility criteria, resulting in a total sample of 1,900 households. The data presented here is from the endline survey.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/BELDFL. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Sustainable Land Management; Gender; Climate Change; Social Protection; Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/beldfl Source record

Project

Gender Equality

Record type

Dataset

Dataset

HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey

2025International Food Policy Research Institute
Details

HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey

The HER+ Sustainable Land Management Study is a randomized controlled trial evaluating a bundled intervention that provides training and inputs (including 4-6 fruit tree seedlings, vegetable seeds, and tools) to encourage extremely poor rural Ethiopian households to adopt three complementary sustainable land management (SLM) practices: fruit tree planting, composting, and home gardening. The baseline survey was conducted in May-June 2023, followed by the intervention, with the endline study completed in May-June 2024. The study covers 95 sub-districts, with 20 households randomly selected in each sub-district from among beneficiaries of the Productive Safety Net Program (PSNP) who met pre-specified eligibility criteria, resulting in a total sample of 1,900 households. The data presented here is from the baseline survey.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/8KASCK. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Sustainable Land Management; Gender; Climate Change; Social Protection; Baseline Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/8kasck Source record

Project

Gender Equality

Record type

Dataset

Dataset

SELEVER study: Endline survey

2025International Food Policy Research Institute
Details

SELEVER study: Endline survey

The Soutenir l’Exploitation Familiale pour Lancer l’Élevage des Volailles et Valoriser l’Économie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women’s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices. Data collection took place in rural communities across three regions—Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins—over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September–October 2017 and September–October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions. The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the endline survey.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. SELEVER study: Endline survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/E7QTZZ. Harvard Dataverse. Version 1.

Country/Region

Burkina Faso

Keywords

Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women’s Empowerment; Maternal Nutrition; Communication; Water; Hygiene; Health; Child Nutrition; Infant Feeding; Dietary Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/e7qtzz Source record

Project

Sustainable Healthy Diets

Record type

Dataset

Dataset

SELEVER study: Baseline survey

2025International Food Policy Research Institute
Details

SELEVER study: Baseline survey

The Soutenir l’Exploitation Familiale pour Lancer l’Élevage des Volailles et Valoriser l’Économie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women’s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices. Data collection took place in rural communities across three regions—Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins—over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September–October 2017 and September–October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions. The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the baseline survey.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. SELEVER study: Baseline survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/M4BTGB. Harvard Dataverse. Version 1.

Country/Region

Burkina Faso

Keywords

Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women’s Empowerment; Maternal Nutrition; Child Nutrition; Infant Feeding; Communication; Hygiene; Dietary Assessment; Health

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/m4btgb Source record

Project

Sustainable Healthy Diets

Record type

Dataset

Dataset

SELEVER study: Second follow-up survey

2025International Food Policy Research Institute
Details

SELEVER study: Second follow-up survey

The Soutenir l’Exploitation Familiale pour Lancer l’Élevage des Volailles et Valoriser l’Économie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women’s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices. Data collection took place in rural communities across three regions—Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins—over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September–October 2017 and September–October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions. The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the second follow-up survey.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. SELEVER study: Second follow-up survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/X7RRHL. Harvard Dataverse. Version 1.

Country/Region

Burkina Faso

Keywords

Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women’s Empowerment; Maternal Nutrition; Communication; Water; Hygiene; Health; Child Nutrition; Infant Feeding; Dietary Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/x7rrhl Source record

Project

Sustainable Healthy Diets

Record type

Dataset

Dataset

SELEVER study: First follow-up survey

2025International Food Policy Research Institute
Details

SELEVER study: First follow-up survey

The Soutenir l’Exploitation Familiale pour Lancer l’Élevage des Volailles et Valoriser l’Économie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women’s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices. Data collection took place in rural communities across three regions—Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins—over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September–October 2017 and September–October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions. The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the first follow-up survey.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. SELEVER study: First follow-up survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/SFGXCE. Harvard Dataverse. Version 1.

Country/Region

Burkina Faso

Keywords

Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women’s Empowerment; Maternal Nutrition; Child Nutrition; Infant Feeding; Communication; Hygiene; Dietary Assessment; Health

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/sfgxce Source record

Project

Sustainable Healthy Diets

Record type

Dataset

Dataset

Papua New Guinea Rural Household Survey, 2023

2025International Food Policy Research Institute
Details

Papua New Guinea Rural Household Survey, 2023

The Papua New Guinea Rural Household Survey (2023) collected detailed household-level data on agricultural production, food and non-food consumption and expenditure, and livelihood strategies across 14 provinces, covering communities in the highlands, lowlands, and islands of Papua New Guinea (PNG). The survey was designed using a purposive sampling strategy based on defined agro-ecological zones, which allows for the analysis of key factors influencing rural households and communities. It is important to note that the survey is not nationally representative; however, given the careful random selection of survey areas, we expect that generalizable relationships between variables affecting socio-economic and other development outcomes in rural PNG communities will be consistently observed across representative samples and in this survey. These factors include those that contribute to more resilient local food systems, diversified employment opportunities, and improved household wellbeing. The survey encompasses 2,699 households in 270 communities, spanning five agroecological zones. It features detailed modules on a wide range of topics relevant to rural livelihoods, agricultural production, and household wellbeing.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025.Papua New Guinea Household Survey on Food Systems, 2023. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/BYZMZ6. Harvard Dataverse.Version 1.

Country/Region

Papua New Guinea

Keywords

South-eastern Asia; Oceania; Asia; Rural Areas; Household Expenditure; Food Systems; Anthropometry; Crop Production; Off Farm Employment; Gender; Sex-disaggregated Data; Nutrition; Health

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/byzmz6 Source record

Project

Rethinking Food Markets

Record type

Dataset

Dataset

Replication data for “Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia”

2025International Food Policy Research Institute
Details

Replication data for “Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia”

This dataset supports the replication of results presented in “Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop Cuts, and Self-Reporting in Ethiopia” (2025) by Nina Jovanovic and Jacob Ricker-Gilbert, published in the Journal of Development Economics. The data originates from the 2018/19 Ethiopia Socio-economic Survey conducted by the Central Statistical Agency of Ethiopia. The dataset combines DNA-fingerprinting of maize seeds, GPS-based plot size measurements, and crop cut data, facilitating robust comparisons with farmers’ self-reported data on seed varieties, land area, and harvested quantities. An accompanying do-file contains the Stata code required to replicate the analysis presented in the paper. The dataset has been cleaned and transformed for analytical purposes, including: Missing Data Management: Mean imputation for continuous variables. Outlier Treatment: Winsorized crop yield data. This comprehensive dataset and code package enable researchers to validate and build upon the study’s findings.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Replication data for “Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia”. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/CNLIJO. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Crop Yield; Deoxyribonuclease; Seed; Technology Adoption

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/cnlijo Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey

2025International Food Policy Research Institute
Details

Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey

This dataset is part of the IMPEL (Implementer-Led Evaluation and Learning) evaluation of SPIR-II (Strengthen PSNP Institutions and Resilience), a randomized controlled trial launched in 2022. The SPIR-II aims to enhance livelihoods, increase resilience to shocks, and improve food security and nutrition for rural households vulnerable to food insecurity in Ethiopia. The IMPEL SPIR-II impact evaluation employs an experimental design with multiple treatment arms, comparing combinations of livelihood and nutrition graduation model programming provided to the Productive Safety Net Programme (PSNP) beneficiaries relative to a control group receiving only PSNP transfers. The design includes 234 kebeles assigned to three treatment arms. In the first arm (the control group), PSNP is implemented by the government with SPIR II support for the provision of cash and food transfers only. In the second arm, SPIR II programming is rolled out to PSNP beneficiary households in conjunction with nurturing care groups targeting enhanced infant and young child nutritional practices. In the third arm, PSNP beneficiary households receive SPIR II programming and NCGs, supplemented with additional targeted cash grants. Specifically, it includes data collected from the baseline survey of the RCT conducted in August September 2022, which entailed interviews with both the primary female respondent (pregnant or lactating woman) and her spouse. The sample for the baseline survey comprises 3,015 households in 234 kebeles from 15 woredas in the Amhara and Oromia regions. The inclusion criteria required that households were PSNP beneficiaries reporting the presence of an infant under nine months of age (along with his/her mother or primary caretaker) or a pregnant woman. The realized sample corresponds to 98% of the target sample; three kebeles were excluded from the sample due to insecurity or other challenges that rendered it impossible to conduct surveys.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/U7DP3C. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Baseline Data; Social Protection; Nutrition; Gender; Climate Change; Resilience; Institutions; Food Security; Children; Women’s Empowerment; Mental Health; Domestic Violence

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/u7dp3c Source record

Record type

Dataset

Dataset

Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023)

2025International Food Policy Research Institute
Details

Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023)

This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonisé process in West Africa. The surveys are carried out in two waves each year: First wave: Conducted before the start of the lean season (around February-March) Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October) These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include: Food Consumption Score (FCS); Household Dietary Diversity Score (HDDS); Coping behaviors. Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains: Conflict and political violence; Food price anomalies; Long-term climate hazards; Rainy season performance; Extreme weather events. This comprehensive dataset provides valuable insights into food security and household coping strategies in Burkina Faso, enriched with data on various shocks impacting food security.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023). Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/IPDCDQ. Harvard Dataverse. Version 1.

Country/Region

Burkina Faso

Keywords

Western Africa; Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ipdcdq Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023)

2025International Food Policy Research Institute
Details

Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023)

This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonisé process in West Africa. The surveys are carried out in two waves each year: First wave: Conducted before the start of the lean season (around February-March) Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October) These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include: -Food Consumption Score (FCS); -Household Dietary Diversity Score (HDDS); -Coping behaviors. Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains: -Conflict and political violence; -Food price anomalies; -Long-term climate hazards; -Rainy season performance; -Extreme weather events. This comprehensive dataset provides valuable insights into food security and household coping strategies in Chad, enriched with data on various shocks impacting food security.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023). Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/SQA143. Harvard Dataverse. Version 1.

Country/Region

Chad

Keywords

Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/sqa143 Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023)

2025International Food Policy Research Institute
Details

Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023)

This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonisé process in West Africa. The surveys are carried out in two waves each year: First wave: Conducted before the start of the lean season (around February-March) Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October) These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include: -Food Consumption Score (FCS); -Household Dietary Diversity Score (HDDS); -Coping behaviors. Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains: -Conflict and political violence; -Food price anomalies; -Long-term climate hazards; -Rainy season performance; -Extreme weather events. This comprehensive dataset provides valuable insights into food security and household coping strategies in Mali, enriched with data on various shocks impacting food security.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023). Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/NNAYAM. Harvard Dataverse. Version 1.

Country/Region

Mali

Keywords

Western Africa; Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/nnayam Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023)

2025International Food Policy Research Institute
Details

Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023)

This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonisé process in West Africa. The surveys are carried out in two waves each year: First wave: Conducted before the start of the lean season (around February-March); Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October) These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include: -Food Consumption Score (FCS); -Household Dietary Diversity Score (HDDS); -Coping behaviors. Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains: -Conflict and political violence; -Food price anomalies; -Long-term climate hazards; -Rainy season performance; -Extreme weather events. This comprehensive dataset provides valuable insights into food security and household coping strategies in Niger, enriched with data on various shocks impacting food security.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023). Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/SWJOEN. Harvard Dataverse. Version 1.

Country/Region

Niger

Keywords

Western Africa; Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/swjoen Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Replication Data for “Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda”

2025International Food Policy Research Institute
Details

Replication Data for “Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda”

This dataset is provided to support the replication of the results presented in the paper “The Impact of Fertilizer Subsidies on Agricultural Productivity in Rwanda” (Spielman, David J.; Mugabo, Serge; Rosenbach, Gracie et al., forthcoming). It includes both the raw data and the processed variables used in the analysis. The data for this study is sourced from the National Institute of Statistics of Rwanda’s (NISR) Seasonal Agriculture Survey (SAS), conducted between 2017 and 2020. The dataset includes a representative sample of small-scale and large-scale farms across Rwanda. It contains detailed information on land use, crop production, fertilizer usage, crop yields, and agricultural practices across the country’s three agricultural seasons: Season A (September to February), Season B (March to June), and Season C (July to September). The SAS dataset includes data from 76,182 sampled plots across Rwanda, capturing key agricultural variables such as fertilizer application, crop types, land sizes, and yields. This dataset is further enriched with additional data from the National Agriculture Export Board (NAEB), which provides information on tea and coffee production through routine monitoring and a five-year coffee census. Input subsidies, pricing, and distribution data are sourced from the Ministry of Agriculture and Animal Resources (MINAGRI) and the Rwanda Agriculture and Animal Resources Board (RAB). Accompanying this dataset are the do-files, which contain the Stata code necessary to replicate the analysis presented in the paper. These scripts include all steps for data cleaning, analysis, and result generation. Detailed, step-by-step instructions for replicating the analysis can be found in the included README file. While the dataset is based on the original SAS data, it has been cleaned and transformed for analysis. Missing values have been handled using mean imputation for continuous variables and mode imputation for categorical variables. Outliers in crop yield data have also been adjusted based on established thresholds.

Year published

2025

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2025. Replication Data for “Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda”. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/SMGIBM. Harvard Dataverse. Version 1.

Country/Region

Rwanda

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Crop Yield; Policy Analysis; Agricultural Practices; Climate Change Adaptation; Sustainable Agriculture; Agricultural Productivity; Npk Fertilizers; Subsidies; Farm Inputs

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/smgibm Source record

Record type

Dataset

Dataset

Clustering for global market access in Bangladesh: Endline survey

2024International Food Policy Research Institute
Details

Clustering for global market access in Bangladesh: Endline survey

The “Clustering for Global Market Access Survey” was conducted to assess the impacts of shrimp farm clustering interventions implemented by the Department of Fisheries (DoF), the Bangladesh Shrimp and Fish Foundation (BSFF), and a private sector actor. The survey was carried out in two rounds: a baseline in 2023 and an endline in 2024, to evaluate the effectiveness of these interventions. The data presented here are from the endline survey conducted between May 7 and May 31, 2024. Data were collected at the household, cluster, and community levels using a two-stage simple random sampling design and analyzed through a difference-in-differences approach. The household datasets include 1,222 shrimp farms across three districts in southern Bangladesh—Bagerhat, Khulna, and Satkhira. Among these, 622 are cluster farmers, and 600 are non-cluster comparison farmers situated in either the same or adjacent villages to cluster farmers. The data encompass cluster participation, pond characteristics, inputs received from cluster operators, stocking and harvesting, feed and non-feed input use, sales revenue, integrated farming, labor use, credit access, dietary diversity, and food security. The cluster datasets cover 68 shrimp farm clusters, providing insights into cluster composition and training delivered to cluster members. The community datasets provide contextual information on the 136 villages where both cluster and non-cluster farmers reside.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Clustering for global market access in Bangladesh: Endline survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/VQJNLG. Harvard Dataverse. Version 1.

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Aquaculture; Shrimp Culture; Value Chains; Market Access; Food Security; Dietary Diversity; Credit; Labour; Income

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/vqjnlg Source record

Project

Rethinking Food Markets

Record type

Dataset

Dataset

Clustering for global market access in Bangladesh: Baseline survey

2024International Food Policy Research Institute
Details

Clustering for global market access in Bangladesh: Baseline survey

The “Clustering for Global Market Access Survey” was conducted to assess the impacts of shrimp farm clustering interventions implemented by the Department of Fisheries (DoF), the Bangladesh Shrimp and Fish Foundation (BSFF), and a private sector actor. The survey was carried out in two rounds: a baseline in 2023 and an endline in 2024, to evaluate the effectiveness of these interventions. The data presented here are from the baseline survey conducted between November 14 and December 14, 2023. Data were collected at the household, cluster, and community levels using a two-stage simple random sampling design and analyzed through a difference-in-differences approach. The household datasets include 1,222 shrimp farms across three districts in southern Bangladesh—Bagerhat, Khulna, and Satkhira. Among these, 622 are cluster farmers, and 600 are non-cluster comparison farmers situated in either the same or adjacent villages to cluster farmers. The data encompass cluster participation, pond characteristics, inputs received from cluster operators, stocking and harvesting, feed and non-feed input use, sales revenue, integrated farming, labor use, credit access, dietary diversity, and food security. The cluster datasets cover 68 shrimp farm clusters, providing insights into cluster composition and training delivered to cluster members. The community datasets provide contextual information on the 136 villages where both cluster and non-cluster farmers reside.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Clustering for global market access in Bangladesh: Baseline survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/TUXYXQ. Harvard Dataverse. Version 1.

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Aquaculture; Shrimp Culture; Value Chains; Market Access; Food Security; Dietary Diversity; Credit; Labour; Income

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/tuxyxq Source record

Project

Rethinking Food Markets

Record type

Dataset

Dataset

Baseline data for Yemen School Milk Initiative Study

2024International Food Policy Research Institute
Details

Baseline data for Yemen School Milk Initiative Study

IFPRI, in collaboration with implementation partners HSA Group and World Food Programme, evaluated the impact of adding a milk intervention to a micronutrient fortified school feeding program. The study is a cluster randomized control trial (cRCT) that took place in 42 schools in Al Mukha district, Yemen. The evaluation includes baseline surveys with households and schools conducted before implementing the milk intervention (November-December 2023), and endline surveys conducted with the same households and schools after the interventions (April-May 2024). These datasets are with respect to the baseline surveys and contains baseline household and school data. The first part comprises household-level modules such as household roster, housing, assets, food security, and occurrence of shocking events. The second part comprises individual-level modules administered to children receiving the program, which include nutritional status, diet, health, cognition, and learning. The last part includes the school level modules such as infrastructure and food environment, administered to school staff.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Baseline data for Yemen School Milk Initiative Study [dataset]. Washington, DC: International Food Policy Research Institute [dataset]. Harvard Dataverse. Version 1. https://doi.org/10.7910/DVN/UO3VPK.

Country/Region

Yemen

Keywords

Western Asia; Milk Production; Agriculture; Human Nutrition

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/uo3vpk Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5

2024International Food Policy Research Institute; Massachusetts Institute of Technology
Details

Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5

The dataset consists of high-resolution climate projections spanning 50 years, capturing spatial and temporal variations in temperature, precipitation, and extreme weather events. These climate inputs were combined with agricultural models to simulate the frequency, intensity, and impact of weather events on the yields of key crops, such as maize, in Ethiopia. It integrates hybrid frequency distributions (HFDs) from the Massachusetts Institute of Technology Integrated Global Systems Model (MIT-IGSM) with detrended gridded historical climates from Princeton Global Forcings. Using a Gaussian quadrature routine, 455 representative climate scenarios were selected for Ethiopia under each emissions scenario (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). This comprehensive dataset provides critical insights into the risks posed by climate change to food security and serves as a valuable resource for researchers and policymakers aiming to develop adaptive strategies for sustainable agriculture.

Year published

2024

Authors

International Food Policy Research Institute; Massachusetts Institute of Technology

Citation

International Food Policy Research Institute (IFPRI); Massachusetts Institute of Technology (MIT). 2024. Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/THC08J. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Extreme Weather Events; Climate; Climate Change; Risk; Weather Data; Weather Hazards; Climate Variability

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/thc08j Source record

Project

Foresight

Record type

Dataset

Dataset

Migration Propensity Index Validation Survey, Honduras

2024International Food Policy Research Institute
Details

Migration Propensity Index Validation Survey, Honduras

This dataset documents migration and empowerment indicators from a two-round survey conducted in Western Honduras as part of a study validating the Migration Propensity Index (MPI). The baseline survey (May–June 2023) reached 1,209 households across six departments, using a multi-stage cluster sampling strategy prioritizing municipalities with high migration prevalence. Data included MPI questions and potential migration factors. A follow-up survey (May–June 2024) re-interviewed 1,094 households, with additional tracking efforts yielding data on migration for 1,176 households (97% of the baseline). Migration was categorized as internal (to a different department) or external (outside Honduras). The follow-up survey also collected empowerment data on a theoretically-informed subset of indicators from the Women’s Empowerment Metric for National Statistical Systems (WEMNS) from one household respondent, focusing on intrinsic, instrumental, and collective agency, as well as agency-enabling resources, aggregated into a single empowerment index.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Migration Propensity Index Survey, Honduras. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/9P8GV9. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Migration; Remittances; Women’s Empowerment; Policies; Decision Making; Socioeconomic Aspects

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/9p8gv9 Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia

2024International Food Policy Research Institute
Details

SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia

This study’s objective is to evaluate the effectiveness of a low-cost psychotherapy intervention, group Problem Management Plus (gPM+), in improving mental health, child development, and related outcomes among rural Ethiopian households. gPM+ was delivered in separate arms by government-employed Health Extension Workers (HEWs) or stipended Local Facilitators (LFs) engaged by an NGO. Participants were drawn from the Productive Safety Net Program (PSNP) in Tigray, targeting individuals aged 18–64 years who showed signs of moderate to moderately severe depression. Villages across four districts were randomized into three arms: control, gPM+ delivered by HEWs, and gPM+ delivered by LFs. The study will be evaluated through a baseline, one-month and 12 month follow-up surveys. The data included here is from the screening and baseline surveys. The screening survey was conducted on 16,872 households to identify eligible individuals for the study, immediately followed by a baseline survey on the 3,744 households with an eligible respondent. The baseline survey collects information on household and individual characteristics including mental health, economic activities, and social behaviors. The data is organized by survey modules, screening modules include modules SA and SB, baseline modules include modules A-K. Module Z is last module on interview status filled out for all households that were screened.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/U2YUP0. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Baseline Data; Social Protection; Behaviour; Health; Social Welfare; Mental Health; Domestic Violence; Food Security; Household Consumption

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/u2yup0 Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2

2024International Food Policy Research Institute
Details

Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2

IFPRI, in collaboration with World Vision (WV) and implementation partners, evaluated the impact of a psychotherapy intervention, group Problem Management plus (gPM+), with and without a one-time lump sum cash transfer. The study is an interventional study using a cluster randomized control trial (cRCT) design that occurred in 70 kebeles across the regions of Oromia and Amhara. The evaluation includes a screening survey to assess eligible men and women; a baseline survey conducted before implementing the gPM+ or cash transfer intervention (June-July 2022); an endline survey conducted on the same individuals right after the interventions (September 2022-October 2022); and a one-year post-intervention survey conducted approximately one year after the endline (September 2023 -December 2023). This dataset is with respect to the endline survey and contains baseline demographic information on the sample in the gPM+ study. The first part comprises of household-level modules such as household roster, housing, assets, consumption, food security, investments, and occurrence of shocking events. The second part is composed of individual-level modules administered to the individuals screened for the study. These modules include instruments for measuring stress, anxiety, coping, self-efficacy, time and risk preference, savings, intimate partner violence, time use, and childcare.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/AVZSE3. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/avzse3 Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1

2024International Food Policy Research Institute
Details

Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1

IFPRI, in collaboration with World Vision (WV) and implementation partners, evaluated the impact of a psychotherapy intervention, group Problem Management plus (gPM+), with and without a one-time lump sum cash transfer. The study is an interventional study using a cluster randomized control trial (cRCT) design that occurred in 70 kebeles across the regions of Oromia and Amhara. The evaluation includes a screening survey to assess eligible men and women; a baseline survey conducted before implementing the gPM+ or cash transfer intervention (June-July 2022); and two follow up surveys (the first conducted September 2022-October 2022, and the second October 2023-January 2024). This dataset is with respect to the first follow up survey and contains baseline demographic information on the sample in the gPM+ study. The first part comprises of household-level modules such as household roster, housing, assets, consumption, food security, investments, and occurrence of shocking events. The second part is composed of individual-level modules administered to the individuals screened for the study. These modules include instruments for measuring stress, anxiety, coping, self-efficacy, time and risk preference, savings, time use, and childcare.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/ZPFK7E. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/zpfk7e Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

Irrigation technologies, Use of Solar Pumps and Gendered Impacts

2024International Food Policy Research Institute
Details

Irrigation technologies, Use of Solar Pumps and Gendered Impacts

The CGIAR Nexus Gains initiative supported a survey on irrigation solar pumps in Uganda to examine how solar pump ownership impacts the livelihoods of women and men in rural areas. This questionnaire was utilized to collect data from both beneficiaries and non-beneficiaries of the World Bank solar pump subsidy project, implemented by the Ugandan Ministry of Agriculture, Fisheries, and Animal Industry. The subsidy project required applicants to: -Contribute 25% of the pump acquisition cost. -Have access to a water source. -Own arable land. -At the time of the survey (November–December 2024), the project had expanded to all four regions of Uganda (Central, Eastern, Western, and Northern), covering 66 of the country’s 122 districts. The survey was conducted in all four regions, sampling eight districts (two per region). Due to budget constraints, the survey included a sample of 480 households, comprising 280 beneficiaries and 200 non-beneficiaries. In each household, both an adult female and an adult male were interviewed to capture gender-differentiated perspectives. Questionnaire Protocol Modules: -Household Composition -Irrigation Use -Solar Pump and Non-Solar Pump Characteristics -Women Empowerment -Energy Insecurity -Water Insecurity -Food Insecurity -Nutrition and Dietary Diversity -Production and Input -Assets -Markets and Marketing -Access to Rural Services -Access to Pump Repair Technical Services -This comprehensive survey design aims to explore the multifaceted impacts of solar pump adoption on household livelihoods, with a particular focus on gendered outcomes.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Irrigation technologies, Use of Solar Pumps and Gendered Impacts. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/JAWBMQ. Harvard Dataverse. Version 1.0

Country/Region

Uganda

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Irrigation; Irrigation Technology; Women’s Empowerment; Gender; Renewable Energy; Subsidies; Water Security

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/jawbmq Source record

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in India 2023: Retail Survey

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in India 2023: Retail Survey

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data was collected between February and June 2023 in the Nalanda district of India. The survey encompassed 50 villages in the district, focusing on formal and informal retail shops operating within the sampled villages. The types of retail shops included local grocery stores and specialized shops selling meat, fish, eggs, or dairy products. The survey utilized pretested, structured questionnaires divided into three distinct modules: 1. Interview-Based Module: Captured vendor information, assortments of essential goods, availability, resilience, food sourcing, food wastage, and dimensions of access and protection. 2. Observation + Photo Module: Documented market information, infrastructure, and aspects related to food quality, safety, and hygiene. 3. Food List Module: Recorded the availability and prices of a comprehensive list of food items found in the area

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in India 2023: Retail Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/5MAC6B. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/5mac6b Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in Nepal 2023: Market Survey

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in Nepal 2023: Market Survey

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data was collected between February and June 2023 in the Banke and Surkhet districts of Nepal. The survey covered 25 wards in each district, focusing on formal and informal multi-vendor markets offering a variety of food products. The survey utilized pretested, structured questionnaires divided into three distinct modules: 1. Interview-Based Module: Gathered information on vendors, assortments of essential goods, availability, resilience, food sourcing, food wastage, and dimensions of access and protection. 2. Observation + Photo-Based Module: Documented market details, infrastructure, and aspects related to food quality, safety, and hygiene. 3. Food List Module: Recorded the availability and prices of an extensive list of food items found in the markets.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in Nepal 2023: Market Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/POVL6D. Harvard Dataverse. Version 1.

Country/Region

Nepal

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/povl6d Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Retail Survey

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Retail Survey

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data collection took place between February and June 2023 in the Rangpur and Rajshahi districts of Bangladesh. The survey covered 50 villages in each district, focusing on formal and informal multi-vendor markets offering a variety of food products within a 10-kilometer radius of the village centroid. The types of multi-vendor markets included in the survey were village markets, weekly village markets, roadside/street markets, and wholesale markets (mandis). The survey employed pretested, structured questionnaires organized into four distinct modules: 1. Market Manager Module: Captures general information about the market as a whole. 2. Interview-Based Module: Gathers vendor-specific data, including details on the assortment of goods, availability, resilience, food sourcing, wastage, access, and protection dimensions. 3. Observation + Photo Module: Focuses on market infrastructure, food quality, safety, and hygiene, supplemented with photographic documentation. 4. Food List Module: Documents the availability and prices of an extensive range of food items at each location. This comprehensive approach ensures a detailed understanding of agrifood systems at the district level, contributing to evidence-based decision-making for sustainable development.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Market Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/S8LYJR. Harvard Dataverse. Version 1.

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure; Impact Assessment; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/s8lyjr Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in Nepal 2023: Retail Survey

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in Nepal 2023: Retail Survey

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data was collected between February and June 2023 in the Banke and Surkhet districts of Nepal. The survey covered 25 wards in each district, focusing on formal and informal retail shops operating in the sampled villages. The types of retail shops included local grocery stores and specialized shops selling meat, fish, eggs, or dairy products. The survey employed pretested, structured questionnaires organized into three modules: 1. Interview-Based Module: Captured vendor information, assortments of essential goods, availability, resilience, food sourcing, food wastage, and dimensions of access and protection. 2. Observation + Photo-Based Module: Documented market infrastructure, food quality, safety, and hygiene aspects. 3. Food List Module: Recorded the availability and prices of an exhaustive list of food items found in the location.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in Nepal 2023: Retail Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/BA5X3F. Harvard Dataverse. Version 1.

Country/Region

Nepal

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ba5x3f Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in India 2023: Market Survey

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in India 2023: Market Survey

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data collection took place between February and June 2023 in the Nalanda district of Bihar, India. The survey covered 50 villages in the district, focusing on formal and informal multi-vendor markets offering various food products within a 10-kilometer radius of the village centroid. The types of multi-vendor markets included village markets, weekly village markets, roadside/street markets, and wholesale markets (mandis). The survey employed pretested, structured questionnaires divided into three distinct modules: 1. Interview-Based Module: Collected data on vendor information, assortments of essential goods, availability, resilience, food sourcing, food wastage, and dimensions of access and protection. 2. Observation + Photo Module: Documented market information, infrastructure, and the quality, safety, and hygiene of the market. 3. Food List Module: Recorded the availability and prices of a comprehensive list of food items found at the location.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in India 2023: Market Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/TYDNVO. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/tydnvo Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

Food Security Simulator – Ethiopia

2024International Food Policy Research Institute
Details

Food Security Simulator – Ethiopia

The Food Security Simulator Ethiopia (FSSE) 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, along with changes in preferences, 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.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Food Security Simulator – Ethiopia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/LVOLEP. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Africa; Eastern Africa; Food Security; Consumer Behavior; Diet Quality; Food Consumption; Household Surveys; Simulation Models

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/lvolep Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Market Survey

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Market Survey

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data collection took place between February and June 2023 in the Rangpur and Rajshahi districts of Bangladesh. The survey covered 50 villages in each district, focusing on formal and informal multi-vendor markets offering a variety of food products within a 10-kilometer radius of the village centroid. The types of multi-vendor markets included in the survey were village markets, weekly village markets, roadside/street markets, and wholesale markets (mandis). The survey employed pretested, structured questionnaires organized into four distinct modules: 1. Market Manager Module: Captures general information about the market as a whole. 2. Interview-Based Module: Gathers vendor-specific data, including details on the assortment of goods, availability, resilience, food sourcing, wastage, access, and protection dimensions. 3. Observation + Photo Module: Focuses on market infrastructure, food quality, safety, and hygiene, supplemented with photographic documentation. 4. Food List Module: Documents the availability and prices of an extensive range of food items at each location. This comprehensive approach ensures a detailed understanding of agrifood systems at the district level, contributing to evidence-based decision-making for sustainable development.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Market Survey. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/S8LYJR. Harvard Dataverse. Version 1.

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/s8lyjr Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Local Market and Retail Census

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Local Market and Retail Census

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. Data collection was conducted between December 2022 and January 2023 in the Rangpur and Rajshahi districts of Bangladesh. The study employed a census across 50 villages per district, selected based on the probability proportional to the number of households in each village. The census included all formal and informal multi-vendor markets offering diverse food products, as well as retail food shops within the selected villages. Multi-vendor markets considered in the census included village markets, weekly village markets, roadside/street markets, and wholesale markets (mandis). Retail food shops included local grocery stores, vegetable/fruit shops (green grocers), and specialized shops selling meat, eggs, fish, or dairy products. A pretested, structured questionnaire was used for the census. Data collected included details on vendor density, vendor characteristics, operating hours and days, types of products sold, infrastructure and facilities in shops, waste disposal methods, and GPS coordinates of retail shops and markets.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Local Market and Retail Census. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/Z79IZH. Harvard Dataverse. Version 1.

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/z79izh Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

TAFSSA District Agrifood Systems Assessment in India 2023: Local Market and Retail Census

2024International Rice Research Institute; International Food Policy Research Institute
Details

TAFSSA District Agrifood Systems Assessment in India 2023: Local Market and Retail Census

TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers’ livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach. In December 2022–January 2023, data collection was conducted in the Nalanda district of Bihar, India. A census was carried out in 50 villages selected using probability proportional to the number of households in each village. The census included all formal and informal multi-vendor markets offering a variety of food products, as well as retail food shops in the selected villages. The types of multi-vendor markets covered included village markets, weekly village markets, roadside/street markets, and wholesale markets (mandis). Retail shops included local grocery stores, vegetable/fruit shops (green grocers), and specialized shops selling meat, eggs, fish, or dairy products. The census employed pretested, structured questionnaires to gather data. Information collected included market density, vendor details, opening hours and days, products sold, infrastructure and facilities in shops, waste disposal methods, and GPS coordinates of the retail shops and markets.

Year published

2024

Authors

International Rice Research Institute; International Food Policy Research Institute

Citation

International Rice Research Institute (IRRI); International Food Policy Research Institute (IFPRI). 2024. TAFSSA District Agrifood Systems Assessment in India 2023: Local Market and Retail Census. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/DEOUER. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Agrifood Systems; Diet; Food Security; Gender Equality; Natural Resources; Climate Change; Waste Disposal; Market Access; Infrastructure; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/deouer Source record

Project

Transforming Agrifood Systems in South Asia

Record type

Dataset

Dataset

Women’s Voice and Agency in the MGNREGA in Odisha: Baseline Data

2024International Food Policy Research Institute
Details

Women’s Voice and Agency in the MGNREGA in Odisha: Baseline Data

This dataset contains baseline information for the project “Women’s Voice and Agency in the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) in Odisha,” conducted in April-May 2023 across five districts in the eastern coastal state of Odisha, India. The study aimed to evaluate interventions designed to enhance women’s voice and agency in selecting assets to be created under the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), a national workfare program. The baseline data focused on female respondents actively participating in MGNREGA, capturing their demographic and socioeconomic profiles, experiences, and knowledge of the program, as well as their perspectives on agency and voice. Additional interviews were conducted with Gram Rozgar Sewaks, the primary program functionaries, and community representatives familiar with village-level facilities. The sample included 50 Gram Panchayats (villages) from each of the five districts, targeting 15 female respondents per Gram Panchayat, for a total of 3,750 intended respondents. However, due to community refusals in one district, interviews could not be conducted in 30 of the 50 Gram Panchayats, resulting in a final sample size of approximately 3,426 female respondents, 220 Gram Rozgar Sewaks, and 229 community-level interviews.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Women’s Voice and Agency in the MGNREGA in Odisha: Baseline Data. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/TF0SDZ. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Decision Making; Employment; Assets; Surveys; Women; Women’s Empowerment; Baseline Data; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/tf0sdz Source record

Project

Gender Equality

Record type

Dataset

Dataset

Myanmar Agricultural Performance Survey (MAPS), Round 5

2024International Food Policy Research Institute
Details

Myanmar Agricultural Performance Survey (MAPS), Round 5

The Myanmar Agricultural Performance Survey (MAPS) is a nationwide phone panel consisting of approximately 4,663 households. The objective of the survey is to collect data on farm characteristics and agricultural assets, area and crops planted, access to inputs, crop marketing, and constraints in agricultural activities. The respondents interviewed are a sub-sample of the Myanmar Household Welfare Survey. 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. MAPS Round 5 survey was implemented by phone by Myanmar Survey Research (MSR) from January to March, 2024. The MAPS collected information on household characteristics, overall area cultivated, crops grown, security problems, input use and farm management practices, yields, sales, output prices, and marketing behavior. MAPS Round 5 focused on the agricultural activities of crop farmers during the monsoon of 2023.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024.Myanmar Agricultural Performance Survey (MAPS), Round 5. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/TDNRPI. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

Asia; South-eastern Asia; Agriculture; Farm Management; Agricultural Prices; Marketing; Producer Prices; Weather Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/tdnrpi Source record

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Ethiopia

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Ethiopia

The 2022 Ethiopia Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ethiopia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/UNGXIW. Harvard Dataverse. Version 1.

Country/Region

Ethiopia

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ungxiw Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Bangladesh

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Bangladesh

The 2022 Bangladesh Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2024. 2022 Social Accounting Matrix for Bangladesh: A Nexus Project SAM. Data Paper. Washington, DC: International Food Policy Research Institute. handle 10568/155088 https://hdl.handle.net/10568/155088

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Macroeconomic Analysis

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/jnhp3t Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Malawi

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Malawi

The 2022 Malawi Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/RX3FYD. Harvard Dataverse. Version 1.

Country/Region

Malawi

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/rx3fyd Source record

Project

Foresight

Record type

Dataset

Dataset

2022/23 Social Accounting Matrix for India

2024International Food Policy Research Institute
Details

2022/23 Social Accounting Matrix for India

The 2022/23 India Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022/23 Social Accounting Matrix for India. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/LDUDTE. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Social Accounting Matrix; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ldudte Source record

Project

Foresight

Record type

Dataset

Dataset

2021 Social Accounting Matrix for Guatemala

2024International Food Policy Research Institute
Details

2021 Social Accounting Matrix for Guatemala

The 2021 Guatemala Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2021 Social Accounting Matrix for Guatemala. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/Y3UTRM. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Central America; Americas; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/y3utrm Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Colombia

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Colombia

The 2022 Colombia Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute; and International Center for Tropical Agriculture. 2024. 2022 Social Accounting Matrix for Colombia: A Nexus Project SAM. Data Paper. Washington, DC: International Food Policy Research Institute. handle 10568/155500 https://hdl.handle.net/10568/155500

Country/Region

Colombia

Keywords

Americas; South America; Latin America; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/va2f2e Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Ghana

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Ghana

The 2022 Ghana Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ghana. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/OPGYHL. Harvard Dataverse. Version 1.

Country/Region

Ghana

Keywords

Africa; Sub-saharan Africa; Western Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/opgyhl Source record

Project

Foresight

Record type

Dataset

Dataset

Nature+ Quantitative Baseline Household and Worker Survey, Viet Nam

2024International Food Policy Research Institute; Development and Policies Research Center
Details

Nature+ Quantitative Baseline Household and Worker Survey, Viet Nam

In 2023, the Nature Positive Solutions (Nature+) baseline survey was conducted in Vietnam, focusing on the districts of Sa Pa and Mai Son. The study aimed to describe the socio-economic conditions and agricultural systems in these areas, providing a baseline assessment to inform ongoing Nature+ interventions. The survey covered 1,153 smallholder farmer households (858 treated and 295 control) across 23 villages. Data collection employed a two-stage sampling technique and assessed various variables, including socio-economic characteristics, agricultural practices, land use, nutrition, and adoption of Nature+ practices. This data will support the evaluation of Nature+’s impacts on inclusion, poverty reduction, food security, livelihoods, and environmental sustainability. Additionally, the survey included interviews with 334 workers, covering socio-demographic characteristics, contract types, forced labor, harassment, workplace health and safety, wages, and overtime. Furthermore, community-level data were collected through interviews conducted by the team’s supervisors in all 23 surveyed villages. Each discussion involved at least three community leaders as key informants.

Year published

2024

Authors

International Food Policy Research Institute; Development and Policies Research Center

Citation

International Food Policy Research Institute (IFPRI); Development and Policies Research Center (DEPOCEN). 2024. Nature+ Quantitative Baseline Household and Worker Survey, Viet Nam. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/PZVGOH. Harvard Dataverse. Version 1.

Country/Region

Vietnam

Keywords

South-eastern Asia; Asia; Baseline Studies; Farming Systems; Smallholders; Agricultural Practices; Land Use; Nutrition; Impact Assessment; Inclusion; Poverty Alleviation; Food Security; Community Involvement

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/pzvgoh Source record

Project

Nature-Positive Solutions

Record type

Dataset

Dataset

Nature+ Quantitative Baseline Household & Worker Survey, Kenya

2024International Food Policy Research Institute; Kula Vyema Centre
Details

Nature+ Quantitative Baseline Household & Worker Survey, Kenya

In 2023, the Nature Positive Solutions (Nature+) baseline survey was conducted in Kenya, focusing on the Counties of Kisumu, Vihiga, and Kajiado. The study aimed to describe the socio-economic conditions and agricultural systems in these areas, providing a baseline assessment to inform ongoing Nature+ interventions. The survey covered 1,502 smallholder farmer households (752 treated and 750 control) across 25 villages. Data collection employed a two-stage sampling technique and assessed various variables, including socio-economic characteristics, agricultural practices, land use, nutrition, and adoption of Nature+ practices. This data will support the evaluation of Nature+’s impacts on inclusion, poverty reduction, food security, livelihoods, and environmental sustainability. Additionally, the survey included interviews with 1056 workers, covering socio-demographic characteristics, contract types, forced labor, harassment, workplace health and safety, wages, and overtime. All monetary variables are expressed in Kenyan Shilling (KSH).

Year published

2024

Authors

International Food Policy Research Institute; Kula Vyema Centre

Citation

International Food Policy Research Institute (IFPRI); Kula Vyema Centre (KVC). 2024. Nature+ Quantitative Baseline Household & Worker Survey, Kenya. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/QFQURF. Harvard Dataverse. Version 1.

Country/Region

Kenya

Keywords

Eastern Africa; Sub-saharan Africa; Africa; Baseline Studies; Farming Systems; Smallholders; Agricultural Practices; Land Use; Nutrition; Impact Assessment; Inclusion; Poverty Alleviation; Food Security; Community Involvement

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/qfqurf Source record

Project

Nature-Positive Solutions

Record type

Dataset

Dataset

2023 Social Accounting Matrix for Pakistan

2024International Food Policy Research Institute
Details

2023 Social Accounting Matrix for Pakistan

The 2023 Pakistan Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2023 Social Accounting Matrix for Pakistan. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/G8ZGSD. Harvard Dataverse. Version 1.

Country/Region

Pakistan

Keywords

Asia; Southern Asia; Macroeconomic Analysis; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/g8zgsd Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Uganda

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Uganda

The 2022 Uganda Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Uganda. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/LKK29W. Harvard Dataverse. Version 1.

Country/Region

Uganda

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/lkk29w Source record

Project

Foresight

Record type

Dataset

Dataset

2021 Social Accounting Matrix for Sudan

2024International Food Policy Research Institute
Details

2021 Social Accounting Matrix for Sudan

The 2021 Sudan Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2021 Social Accounting Matrix for Sudan. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/IKW7UT. Harvard Dataverse. Version 1.

Country/Region

Sudan

Keywords

Africa; Sub-saharan Africa; Northern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ikw7ut Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Rwanda

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Rwanda

The 2022 Rwanda Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/JRLHAT. Harvard Dataverse. Version 1.

Country/Region

Rwanda

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Social Accounting Matrix; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/jrlhat Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Nepal

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Nepal

The 2022 Nepal Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Nepal. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/E6ITMZ. Harvard Dataverse. Version 1.

Country/Region

Nepal

Keywords

Asia; Southern Asia; Social Accounting Matrix; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/e6itmz Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Cambodia

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Cambodia

The 2022 Cambodia Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2024. 2022 Social Accounting Matrix for Cambodia: A Nexus Project SAM. Data Paper. Washington, DC: International Food Policy Research Institute. handle 10568/155101 https://hdl.handle.net/10568/155101

Country/Region

Cambodia

Keywords

Asia; South-eastern Asia; Macroeconomic Analysis; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/nr89gq Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Tanzania

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Tanzania

The 2022 Tanzania Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Tanzania. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/CFYF98. Harvard Dataverse. Version 1.

Keywords

Tanzania; Africa; Sub-saharan Africa; Eastern Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/cfyf98 Source record

Project

Foresight

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Tajikistan

2024International Food Policy Research Institute
Details

2022 Social Accounting Matrix for Tajikistan

The 2022 Tajikistan Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Tajikistan. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/ASZFUC. Harvard Dataverse. Version 1.

Country/Region

Tajikistan

Keywords

Asia; Central Asia; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Agrifood Systems; Computable General Equilibrium Models

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/aszfuc Source record

Project

Foresight

Record type

Dataset

Dataset

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

2024International Food Policy Research Institute
Details

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

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 includes 1,200 households—1,047 of which were part of the baseline survey from IFPRI’s 2018 Assessment of Nutrition-Sensitive Value Chains in the Feed the Future Zone of Influence, with an additional 153 new households added due to attrition. Households were randomly selected from the baseline survey’s respondent roster, but the sample is not intended to be representative of the Zone of Influence. The survey’s questionnaire covers a range of topics at the household level, including household composition, income, expenditures, migration, mobility, dietary diversity, and intrahousehold relationships, with a strong emphasis on agriculture. The agriculture module focuses on changes in household participation in agricultural activities, land use, access to and costs of inputs, male and female labor, machinery, market access, and information.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Assessment of the COVID-19 Pandemic Impact on Agriculture and Food Security in Tajikistan. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/CKOL8D. Harvard Dataverse. Version 1.

Country/Region

Tajikistan

Keywords

Asia; Central Asia; Covid-19; Agriculture; Food Security; Households; Income; Migration; Labour; Markets; Information

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ckol8d Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

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

2024International Food Policy Research Institute
Details

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

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 constraints. The surveys were conducted between June and August 2023 in the Bogra and Rangpur districts. The data collection was iterative, designed to capture insights from intermediary actors across different segments of the agri-food value chain. In randomly selected villages within our primary study areas, a brief farmer survey was used to identify intermediary actors they had sold commodities to in the last 30 days. These identified intermediaries were then contacted and interviewed using a more comprehensive survey. In Bangladesh, 280 rice farmers and 254 potato farmers participated in the farmer surveys. For the midstream actors, the sample includes 1,066 traders, 456 processors, and 220 wholesalers in the rice value chain, and 1,117 traders, 1 processor, 235 wholesalers, and 1 aggregator in the potato value chain.

Year published

2024

Authors

International Food Policy Research Institute

Citation

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. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/OBHUQ5. Harvard Dataverse. Version 1.

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Agrifood Systems; Small and Medium Enterprises; Value Chains; Networks; Potatoes; Rice

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/obhuq5 Source record

Record type

Dataset

Dataset

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

2024International Food Policy Research Institute
Details

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

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 arabica coffee and soybean value chains in Uganda, utilizing tailored surveys to assess their financial capabilities and constraints. The surveys were conducted in May and June 2023 across the Mbale, Kasese, and Lira districts. The data collection was carried out iteratively to gather information about intermediary actors at various stages of the agri-food value chain. In randomly selected villages within the primary study districts, a small group of farmers participated in a brief survey to identify intermediary actors to whom they had sold commodities in the past 30 days. The identified intermediary actors were then contacted and interviewed using a comprehensive intermediary actor survey. In total, 433 coffee farmers and 247 soybean farmers were interviewed in Uganda. The midstream actor sample for the coffee value chain includes 1,401 traders, 111 processors, 334 wholesalers, and 16 aggregators. For the soybean value chain, the sample consists of 507 traders, 2 processors, 280 wholesalers, 9 storage facilities, and 37 aggregators.

Year published

2024

Authors

International Food Policy Research Institute

Citation

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. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/EXJKYH. Harvard Dataverse. Version 1.

Country/Region

Uganda

Keywords

Africa; Sub-saharan Africa; Eastern Africa; Agrifood Systems; Small and Medium Enterprises; Value Chains; Networks; Soybeans; Coffee

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/exjkyh Source record

Record type

Dataset

Dataset

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

2024International Crops Research Institute for the Semi-Arid Tropics
Details

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

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, one caregiver was chosen based on their prior knowledge and consumption of pigeon pea, as well as their willingness to participate in the study. The data collection involved a questionnaire designed to combine the Theory of Planned Behavior (TPB) and the Health Belief Model (HBM). This questionnaire assessed both internal and external factors influencing caregivers’ choices regarding pigeon pea consumption for their children. Respondents indicated their level of agreement or disagreement with various statements on a Likert scale, as read by interviewers. This cross-sectional data is intended to provide insights into the factors affecting pigeon pea consumption and is valuable for developing programs and interventions aimed at increasing its intake in the Kongwa District.

Year published

2024

Authors

International Crops Research Institute for the Semi-Arid Tropics

Citation

International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2022. Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https://doi.org/10.7910/DVN/VFF2EE. Harvard Dataverse. Version 1.

Keywords

Tanzania; Africa; Sub-saharan Africa; Eastern Africa; Pigeon Peas; Children; School Children; Food Consumption

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/vff2ee Source record

Record type

Dataset

Dataset

2017/18 Social Accounting Matrix for Indian State Bihar

2024International Food Policy Research Institute
Details

2017/18 Social Accounting Matrix for Indian State Bihar

The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2017/18 Indian State Bihar SAM follows the Standard Nexus Structure. The open access version of the Indian State Bihar SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita consumption expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the world.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2017/18 Social Accounting Matrix for Indian State Bihar. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/GOZMQU. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data; Economic Activities

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/gozmqu Source record

Project

Foresight

Record type

Dataset

Dataset

2017/18 Social Accounting Matrix for Indian State Uttar Pradesh

2024International Food Policy Research Institute
Details

2017/18 Social Accounting Matrix for Indian State Uttar Pradesh

The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2017/18 Indian State Uttar Pradesh SAM follows the Standard Nexus Structure. The open access version of the Indian State Uttar Pradesh SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita consumption expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the world.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. 2017/18 Social Accounting Matrix for Indian State Uttar Pradesh. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/FQHHM8. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data; Economic Activities

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/fqhhm8 Source record

Project

Foresight

Record type

Dataset

Dataset

Myanmar Agricultural Performance Survey (MAPS), Round 4

2024International Food Policy Research Institute
Details

Myanmar Agricultural Performance Survey (MAPS), Round 4

The Myanmar Agricultural Performance Survey (MAPS) is a nationwide phone panel consisting of approximately 5,500 households. The objective of the survey is to collect data on farm characteristics and agricultural assets, area and crops planted, access to inputs, crop marketing, and constraints in agricultural activities. The respondents interviewed are a sub-sample of the Myanmar Household Welfare Survey. 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. MAPS Round 4 survey was implemented by phone by Myanmar Survey Research (MSR) from June to July, 2023. The MAPS Round 4 sample has 5,001 combined respondents from Myanmar Household Welfare Survey (MHWS) Round 5 and MAPS Round 3. This includes 1,342 respondents not previously interviewed for any round of MAPS but interviewed in MHWS. MAPS Round 4 compares agricultural production in the pre/post monsoon 2022 and the pre/post monsoon 2023.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Myanmar Agricultural Performance Survey (MAPS), Round 4. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/IWQUU4. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

Asia; South-eastern Asia; Agriculture; Farm Management; Agricultural Prices; Marketing; Producer Prices; Weather Data; Gender; Food Security; Agricultural Production

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/iwquu4 Source record

Record type

Dataset

Dataset

FABLE Scenathon database 2023

2024
Douzal, Clara; Chemarin, Charlotte; Mosnier, Aline; Orduña-Cabrera, Fernando; Jones, Sarah; Adenäuer, Lucie; Vittis, Yiorgos; Cozza, Davide; Diaz, Maria; Javalera Rincón, Valeria
…more Rios, Alejandro; Sandoval, Marcial; Obersteiner, Michael; Navarrete Frias, Carolina; Declerck, Fabrice; Frank, Federico; Monjeau, Adrian; Bertranou, Camila; Navarro Garcia, Javier; Marcos-Martinez, Raymundo; Costa, Wanderson; Ramos, Fernando; Reyes, René; Zerriffi, Hisham; Paradis, Gregory; Maloney, Avery; Chavarro, John; Peña, Andres; Arguello, Ricardo; Escobar, Jorge; Marimon Bolivar, Wilfredo; Højte, Simone; Skou Fertin, Regitze; Fraas, Emil; Nyord, Tavs; Getaneh, Yonas; Nigussie, Yirgalem; Bekele, Mekonnen; Mulatu, Kalkidan; Abera, Wuletawu; Balcha, Yodit; Anshiso, Desalegn; Mohammed, Jemal; Assefa, Beneberu; Kebede, Kaleab; Eshetae, Meron; Hamza, Tagay; Tesfaye, Getachew; Tamene, Lulseged; Lehtonen, Heikki; Rämö, Janne; Rasche, Livia; Schneider, Uwe; Steinhauser, Jan; Landis, Conrad; Dellis, Konstantinos; Ioannou, Alexandra; Chatzigiannakou, Maria Angeliki; Laspidou, Chrysi; Koundouri, Phoebe; Saha, Ankit; Singh, Vartika; Das, Prantika; Joshi, Aditi; Jha, Chandan Kumar; Ghosh, Ranjan Kumar; Lotze-Campen, Hermann; Stevanović, Miodrag; Fuad, habiburrachman; Gonzalez-Abraham, Charlotte; Olguín, Marcela; Rodriguez Ramirez, Sonia; McCord, Gordon; Torres-Rojo, Juan Manuel; Flores-Martinez, Arturo; Cardenas Hernandez, Oscar; Avila Ortega, Daniel; Basnet, Shyam; Pradhan, Prajal; Acharya, Sushant; Uprety, Rajendra; Pokhrel, Pashupati; Khatri, Dil; Basnet, Ram; Van Oort, Bob; Daloz, Anne-Sophie; Strokov, Anton; Imanirareba, Dative; Hall, Marianne; Fetzer, Ingo; Tacer Caba, Zeynep; Kesici, Müge; Özuyar, Pinar; Smith, Alison; Lynch, John; Harrison, Paula; Whittaker, Freya; Wu, Grace C.; Baker, Justin; Wade, Christopher
Details

FABLE Scenathon database 2023

This database contains key parameters and variables from the 2023 Scenathon which has been run by the Food, Agriculture, Biodiversity, Land-Use, and Energy (FABLE) Consortium. A scenathon – a scenario marathon – is a multi-objective challenge that allows a decentralized global modelling approach with multiple models developed by different teams in the world at national and regional scales, and a methodology to link them ensuring international trade consistency and tracking collective progress towards the achievement of global sustainability targets. A description and analysis of the Scenathon 2023 pathways has been published in Sachs et al. (2024). The Scenathon 2023 database includes results at the global, country and rest of the world regions levels, for indicators related to food and nutrition security, land and biodiversity, GHG emissions from agriculture and land use change, and input use in agriculture. It also includes key parameters that can be used to explain the results, such as the evolution of productivity and all supply and use balance items at the commodity level. It is possible to visualise some of the key results on the Scenathon dashboard.

Year published

2024

Authors

Douzal, Clara; Chemarin, Charlotte; Mosnier, Aline; Orduña-Cabrera, Fernando; Jones, Sarah; Adenäuer, Lucie; Vittis, Yiorgos; Cozza, Davide; Diaz, Maria; Javalera Rincón, Valeria; Rios, Alejandro; Sandoval, Marcial; Obersteiner, Michael; Navarrete Frias, Carolina; Declerck, Fabrice; Frank, Federico; Monjeau, Adrian; Bertranou, Camila; Navarro Garcia, Javier; Marcos-Martinez, Raymundo; Costa, Wanderson; Ramos, Fernando; Reyes, René; Zerriffi, Hisham; Paradis, Gregory; Maloney, Avery; Chavarro, John; Peña, Andres; Arguello, Ricardo; Escobar, Jorge; Marimon Bolivar, Wilfredo; Højte, Simone; Skou Fertin, Regitze; Fraas, Emil; Nyord, Tavs; Getaneh, Yonas; Nigussie, Yirgalem; Bekele, Mekonnen; Mulatu, Kalkidan; Abera, Wuletawu; Balcha, Yodit; Anshiso, Desalegn; Mohammed, Jemal; Assefa, Beneberu; Kebede, Kaleab; Eshetae, Meron; Hamza, Tagay; Tesfaye, Getachew; Tamene, Lulseged; Lehtonen, Heikki; Rämö, Janne; Rasche, Livia; Schneider, Uwe; Steinhauser, Jan; Landis, Conrad; Dellis, Konstantinos; Ioannou, Alexandra; Chatzigiannakou, Maria Angeliki; Laspidou, Chrysi; Koundouri, Phoebe; Saha, Ankit; Singh, Vartika; Das, Prantika; Joshi, Aditi; Jha, Chandan Kumar; Ghosh, Ranjan Kumar; Lotze-Campen, Hermann; Stevanović, Miodrag; Fuad, habiburrachman; Gonzalez-Abraham, Charlotte; Olguín, Marcela; Rodriguez Ramirez, Sonia; McCord, Gordon; Torres-Rojo, Juan Manuel; Flores-Martinez, Arturo; Cardenas Hernandez, Oscar; Avila Ortega, Daniel; Basnet, Shyam; Pradhan, Prajal; Acharya, Sushant; Uprety, Rajendra; Pokhrel, Pashupati; Khatri, Dil; Basnet, Ram; Van Oort, Bob; Daloz, Anne-Sophie; Strokov, Anton; Imanirareba, Dative; Hall, Marianne; Fetzer, Ingo; Tacer Caba, Zeynep; Kesici, Müge; Özuyar, Pinar; Smith, Alison; Lynch, John; Harrison, Paula; Whittaker, Freya; Wu, Grace C.; Baker, Justin; Wade, Christopher

Citation

Douzal, C., Chemarin, C., Mosnier, A., Orduña-Cabrera, F., Jones, S., Adenäuer, L., Vittis, Y., Cozza, D., Diaz, M., Javalera Rincón, V., Rios, A., Sandoval, M., Sanchez, A., Navarrete Frias, C., Obersteiner, M., Declerck, F., Frank, F., Monjeau, A., Bertranou, C., … Wade, C. 2024. FABLE Scenathon database 2023 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11640827

Keywords

Land Use; Policies; Resilience; Sustainable Development Goals

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.5281/zenodo.11640826 Source record

Project

NEXUS Gains

Record type

Dataset

Dataset

2018 Social Accounting Matrix for Indian State Odisha

2024International Food Policy Research Institute
Details

2018 Social Accounting Matrix for Indian State Odisha

The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2018 Indian State Odisha SAM follows the Standard Nexus Structure. The open access version of the Indian State Odisha SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the world.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2024. 2018 Social Accounting Matrix for Indian State Odisha. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/74YWV2. Harvard Dataverse. Version 1.

Country/Region

India

Keywords

Asia; Southern Asia; Computable General Equilibrium Models; Household Consumption; Household Expenditure; Economic Indicators; Taxes; Agrifood Systems; Labour; Data Collection; Economic Activities

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/74ywv2 Source record

Project

National Policies and Strategies

Record type

Dataset

Dataset

2019 Social Accounting Matrix for Colombia

2024International Food Policy Research Institute; Bioversity International
Details

2019 Social Accounting Matrix for Colombia

The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2019 Colombia SAM follows the Standard Nexus Structure. The open access version of the Colombia SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the world.

Year published

2024

Authors

International Food Policy Research Institute; Bioversity International

Citation

International Food Policy Research Institute (IFPRI); Alliance Bioversity International – CIAT, 2024. 2019 Social Accounting Matrix for Colombia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/3XTADK. Harvard Dataverse. Version 1.

Country/Region

Colombia

Keywords

South America; Latin America; Americas; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/3xtadk Source record

Project

Foresight

Record type

Dataset

Dataset

Myanmar Household Welfare Survey (MHWS), Round 6

2024International Food Policy Research Institute
Details

Myanmar Household Welfare Survey (MHWS), Round 6

The sixth round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,898 households–was implemented between August, 2023 and November, 2023. 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.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Myanmar Household Welfare Survey (MHWS), Round 6. Washington, DC: IFPRI. https://doi.org/10.7910/DVN/CVKOPF. Harvard Dataverse. Version 1.

Country/Region

Myanmar

Keywords

Asia; South-eastern Asia; Social Welfare; Households; Livelihoods; Assets; Employment; Food Insecurity; Diet; Migration; Shock

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/cvkopf Source record

Record type

Dataset

Dataset

Generalized Livelihoods Self-efficacy Scale

2024Measures for Advancing Gender Equality (MAGNET) Initiative
Details

Generalized Livelihoods Self-efficacy Scale

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 innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Improving women’s self-efficacy, or their belief in own capabilities to act effectively towards their own goals, is an important and urgent policy goal. The 10-item Generalized Livelihoods Self-efficacy Scale allows us to measure self-efficacy applicable to general economic activities. As opposed to treating it as a generalized personality trait or as a domain-specific construct, it intends to be a measure that is applicable across economic activities and to capture livelihoods in general in low-income contexts. It is designed to capture both control over economic decisions and resources and the ability to engage in economic activities. This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals’ agency and decision-making. Other variables you may want to collect alongside this tool include engagement in income-generating activities, individual income, and MAGNET’s goal-setting capacity scale. This data study includes following files. 1. A survey document (including implementation guidelines). 2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook “CAPI_.xlsx” that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.

Year published

2024

Authors

Measures for Advancing Gender Equality (MAGNET) Initiative

Citation

Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Generalized Livelihoods Self-efficacy Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https://doi.org/10.7910/DVN/KVKUS4. Harvard Dataverse. Version 3.

Keywords

Africa; Sub-saharan Africa; Gender Equality; Women; Women’s Empowerment; Efficiency; Data Collection; Research; Survey Methods; Households

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/kvkus4 Source record

Record type

Dataset

Dataset

Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Malawi Case Study

2024International Food Policy Research Institute
Details

Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Malawi Case Study

The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from Malawi is one of four country case studies that developed additional market inclusion (+MI) indicators to complement the pro-WEAI. The Malawi case study was conducted as part of the Agricultural Technical Vocational Education and Training for Women (ATVET4W) Program, a gender-sensitive approach to technical training and market linkages in priority agricultural value chains led by the African Union Development Agency-New Partnership for Africa’s Development (AUDA-NEPAD) and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). To compare program beneficiaries versus non-beneficiaries, a household survey was collected from September to October 2019 in five districts where ATVET4W has (1) started some activities, (2) shown initial commitment from a community college, and (3) shown a high likelihood to continue with the program. These districts cover different regions (North, Central, South), agroecological zones, and socioeconomic profiles. This data package includes the pro-WEAI+MI questions implemented in Malawi, basic household and demographic information, and constructed pro-WEAI and +MI indicators.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2023. Project-Level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-weai+MI): Malawi Case Study. Washington, DC: IFPRI [Dataset]. https://doi.org/10.7910/DVN/QQABTY. Harvard Dataverse. Version 1.

Country/Region

Malawi

Keywords

Africa; Sub-saharan Africa; Gender; Women; Women’s Empowerment

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/qqabty Source record

Record type

Dataset

Dataset

Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Philippines Case Study

2024International Food Policy Research Institute
Details

Project-level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Philippines Case Study

The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from the Philippines is the first of four country case studies that developed additional market inclusion (+MI) indicators to complement the pro-WEAI. The Philippines case study focused on women and men working in production, processing, trading, and marketing in the abaca, coconut, seaweed, and swine VCs. Using a purposive sampling design, survey data were collected in March–August 2017 in six provinces in the Bicol and Visayas regions of the Philippines. Data on each VC was collected in two provinces, selected based on presence of production and processing activities. Abaca and coconut data were collected initially in Sorsogon and Leyte, and additional survey areas were added in Albay and Southern Leyte to reach target sample sizes. Seaweed and swine data were collected in Bohol and Cebu. This data package includes the pro-WEAI+MI questions implemented in the Philippines, basic household and demographic information, and constructed pro-WEAI and +MI indicators.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Project-Level Women’s Empowerment in Agriculture Index for Market Inclusion (Pro-weai+MI): Philippines Case Study. Washington, DC: IFPRI [Dataset]. https://doi.org/10.7910/DVN/UPKRKO. Harvard Dataverse. Version 1.

Country/Region

Philippines

Keywords

Asia; South-eastern Asia; Women; Agriculture; Abaca; Coconuts; Seaweeds; Swine; Empowerment; Households; Gender; Value Chains

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/upkrko Source record

Record type

Dataset

Dataset

Cognitive Labor

2024Measures for Advancing Gender Equality (MAGNET) Initiative
Details

Cognitive Labor

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 innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Cognitive labor refers to the mental work associated with anticipating the needs of family members (especially children), identifying options for meeting those needs, deciding among the options, and monitoring the results of those decisions (Daminger 2019). Although distinct from the physical dimensions of unpaid care and domestic labor, like these activities, cognitive labor is viewed in many societies as primarily women’s responsibility. Cognitive labor is, thus, an important component of gender inequality within households. This tool measures cognitive labor in association with different agricultural and non-agricultural activities using easily understandable language (“thinking and planning”). We recommend the use of this tool in the design, monitoring, and evaluation of development programs aimed at improving women’s empowerment and reducing women’s work burdens. This data study includes following files. 1. A survey document (including implementation guidelines). 2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook “CAPI_.xlsx” that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.

Year published

2024

Authors

Measures for Advancing Gender Equality (MAGNET) Initiative

Citation

Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Cognitive Labor. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https://doi.org/10.7910/DVN/FPQUCV. Harvard Dataverse. Version 3.

Keywords

Africa; Sub-saharan Africa; Gender Equality; Women; Women’s Empowerment; Labour; Data Collection; Research; Survey Methods; Households

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/fpqucv Source record

Record type

Dataset

Copy all 100 citations
1 to 10 of 100