Final study conducted on the REVIVE (Restoring Vibrant Villages and Environments) project in the Bale Zone of Ethiopia. Focus of the study is on project outcomes related to resilience, use and perceived value of the SAPARM (Satellite Assisted Pastoral Resource Management) intervention, project sustainability, application of the D-RISK process and other outcomes.

These data come from the Restoring Vibrant Villages and Environments (REVIVE) project in 9 woredas of Oromia region of Ethiopia. Project REVIVE is a three-year project to increase vulnerable communities’ long-term resilience to climate change and climate-related shocks. REVIVE’s project framework includes a Goal and three Strategic Objectives (SOs): (1) Improved access to science and analysis for community-based Disaster Risk Reduction (DRR) decision-making, (2) Improved household and community measures to adapt to climate variability, change and resulting shocks, and (3) Enhanced community DRR and climate adaptation planning and processes integrated with, and support through the Ethiopian Government and other resiliency initiatives.

The baseline dataset for this study contains 1439 observations over 156 variables. The data describe animal numbers with some socio-demographic information and some opinions. These data come from the Restoring Vibrant Villages and Environments (REVIVE) project in 9 woredas of Oromia region of Ethiopia. Project REVIVE is a threeyear project to increase vulnerable communities’ longterm resilience to climate change and climate-related shocks.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the third spreadsheet of three in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet of three in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information.

This dataset contains the data describing non-food expenditures over the month prior to the survey collected as part of the baseline survey generated in support of an impact evaluation of the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project.

The objective of the PRIME project is to increase household incomes, enhance resilience, and bolster adaptive capacity to climate change among pastoral people in Ethiopia. Investigators use both qualitative and quantitative data to determine the impact of the project’s interventions on households’ resilience to shocks and, thus, on well-being outcomes, including poverty, food security, and children’s nutritional status.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet of two in the Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE- Children File.

This data asset contains the data from the Graduation with Resilience to Achieve Sustainable Development (GRAD) endline beneficiary-based survey in selected four woredas. The evaluation used a multi-stage cluster sampling design. GRAD implementing partners (IPs) purposively chose woredas at baseline to include one woreda per region and implementing partner. These woredas were Endamehoni in Tigray region, Lay Gayint in Amhara, Ziway Dugda in Oromia, and Hawassa Zuria in Southern Nations, Nationalities and Peoples (SNNP) regions. At endline, the GRAD final Evaluation team used the baseline kebeles as clusters from which to randomly sample household respondents, using GRAD’s kebele-level beneficiary lists to identify the final sample. The sample size for the endline survey was 1602. The Feinstein International Center of Tufts University conducted the baseline survey 2012. Ethiopian Performance Monitoring and Evaluation Service’s (EPMES’) sub-contractor, Sub-Sharan Africa Research Center undertook the endline survey data collection. The survey included different sections: Household Socio-Demographics, PSNP and GRAD Participation, Livelihoods Shocks, Household Expenditure, Income Sources, Access to Input and Output Markets, Credit & Savings, Project Outcomes and Benefits, Food Security and Nutrition and Women’s Empowerment.

The main purpose of this performance evaluation was to examine the resiliency and disaster risk reduction outcomes of CMDRR, determine the overall effectiveness of the interventions and partnerships, and generate learning that will contribute to the design of future similar Activities and the update of USAID/Ethiopia’s CDCS in 2017. CMDRR was split into two awards named as Resilience through Enhanced Adaptation, Action learning Partnership (REAAP) and Restoring Vibrant Villages and Environments (REVIVE). A population-based household survey was conducted to measure the performance of CMDRR on key indicators. Both REAAP and REVIVE conducted baseline studies in April and May 2015, respectively. The endline survey targeted, to the extent possible, the same kebeles where the baselines were conducted, and used the same sample sizes to make the methods at endline as comparable to the baseline as possible. Seven kebeles from the REAAP Activity surveyed during baseline did not receive CMDRR interventions, and so were not included in the endline evaluation. Instead, seven comparable kebeles with similar livelihoods and that received the CMDRR interventions were included in the sample. Within kebeles, villages were selected from the administrative lists. In REAAP areas, 39 households were interviewed per kebele. In REVIVE areas, the sample was half of the villages per kebele. Enumerators sampled respondent households in each kebele on location using an on-site systematic random sampling methodology. The achieved sample size was 2,228: in REAAP areas and 1,448 in REVIVE area which is equal to the calculated sample size used during the baseline (slightly higher than the sample size of 2,118 at baseline in REAAP areas and 1,438 in REVIVE areas, adjusted after Social Impact’s recalculation of sample sizes.