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 sixth spreadsheet of seven in the Baseline Survey for an Impact Evaluation of the Greenbelt Transformation Initiative in South Sudan-Data.

This dataset is derived from a 2013 household baseline survey in the country's Greenbelt region as part of an impact evaluation of the Food, Agribusiness, and Rural Markets (FARM) Project, which is intended to improve agricultural sector productivity and marketing in the Greenbelt and to support increasing South Sudan's food supply to reach food self-sufficiency. 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.

In order to better understand how the FARM II project reached farmer-based organizations (FBOs) and farmers across the Greenbelt region and how the project may have influenced beneficiaries to use improved technologies or management practices, FARM II conducted two process evaluations in March 2016. The evaluations were conducted in 28 payams across eight counties of Central, Eastern, and Western Equatoria states. This first evaluation, the FBO survey, assessed the technical and managerial capacity of elected leaders of farmer-based organizations that received assistance from the FARM II project. The second evaluation, the farmer survey, measured knowledge, attitudes, and the application of improved technologies and management practices by targeted farmer beneficiaries.

Feed the Future Uganda Interim Survey in the Zone of Infuence: This recode dataset (n=2,334, vars=92) contaions the analytical variables derived from the Agricultural technology (Module J) analysis.

충청남도 지속가능발전목표 2030에 관련된 데이터로, 충청남도 기초생활보장수급자 비율, 사회복지비 비율, 친환경인증 면적 비율 등을 제공합니다.

This dataset contains the data describing the household roster 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. 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.

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This dataset (n=18,300, vars=17) contains variables from sub-Module E2, Non-Food Expenditures over Past 7 Days. Each household with data for non-food expenditurs over the past week has multiple records (for the 10 non-food items in sub-Module E2) (18,300 records divided by 10 non-food items=1,830 Module E households with sub-Module E2 data.)