IMPORTANT: If you are interested in accessing restricted datasets, kindly fill out this data user agreement form.
Do not request access through individual datasets as those requests are not being monitored.


Africa Research in Sustainable Intensification for the Next Generation (Africa RISING): As part of the US government’s Feed the Future initiative to address global hunger and food security issues in Africa south of the Sahara, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. The overall aim is to transform agricultural systems through sustainable intensification projects in West Africa and East and Southern Africa, led by the International Institute of Tropical Agriculture (IITA) and in Ethiopian Highlands, led by the International Livestock Research Institute (ILRI). The International Food Policy Research Institute leads the program’s monitoring, evaluation and impact assessment.
Featured Dataverses

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

Publish Dataverse

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

Publish Dataverse

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

Delete Dataverse

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

Advanced Search

1,361 to 1,370 of 1,370 Results
Tabular Data - 3.2 MB - 13 Variables, 96516 Observations - UNF:5:8rQ53SVVUL7eMJ8albDziA==
3.1 Data: Household
This file contains data from 'Section Q: Food consumption over the past week' of the household questionnaire.
Tabular Data - 172.9 KB - 18 Variables, 5537 Observations - UNF:5:p+cPWHiovNsiJoBNPeTtBg==
3.1 Data: Household
This file contains data from 'Section R: Food consumption outside the household' of the household questionnaire.
Tabular Data - 69.4 KB - 5 Variables, 3447 Observations - UNF:5:Fi+2OCYQHQ+n6Q8RuBiEfg==
3.1 Data: Household
This file contains data related to questions 1 to 3 'Section S1: Non-food expenditures (past one week and one month)' of the household questionnaire.
Tabular Data - 599.7 KB - 5 Variables, 29874 Observations - UNF:5:b2FHCirAZS6cNhfR+ZLDyg==
3.1 Data: Household
This file contains data related to questions 4 to 6 'Section S1: Non-food expenditures (past one week and one month)' of the household questionnaire.
Tabular Data - 380.2 KB - 5 Variables, 18815 Observations - UNF:5:/RP97E8ESfo1hyK0bv8fMw==
3.1 Data: Household
This file contains data related to questions 1 to 3 'Section S2: Non-food expenditures (past 12 months)' of the household questionnaire.
Tabular Data - 124.1 KB - 6 Variables, 5745 Observations - UNF:5:vygCTnIH/AWFyQ5FODIsAw==
3.1 Data: Household
This file contains data related to questions 4 to 7 'Section S2: Non-food expenditures (past 12 months)' of the household questionnaire.
Tabular Data - 960.5 KB - 20 Variables, 26424 Observations - UNF:5:4fT4v+9GWd8Pf2GBezt4JA==
3.1 Data: Household
This file contains data from 'Section T: Recent shocks to household welfare' of the household questionnaire.
Tabular Data - 139.5 KB - 10 Variables, 5537 Observations - UNF:5:xTKwoO2D0tqio9Jfe2Bleg==
3.1 Data: Household
This file contains data from 'Section U: Women anthropometry' of the household questionnaire.
Tabular Data - 121.2 KB - 9 Variables, 5535 Observations - UNF:5:maDg3JcqfvigOs3AdzcDlg==
3.1 Data: Household
This file contains data from 'Section V: Child anthropometry' of the household questionnaire.
Adobe PDF - 451.5 KB - MD5: 1cc7ecac28bfea51b9ed9363745c27eb
1. List of files
This file documents all the data files and supporting documents contained in this study.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.