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 twoin the Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger--Agricultural Practices.

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 fourin the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Asset Value and Consumption.

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 fourin the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Asset Value and Consumption.

The USAID construction assessment is a survey of the character, scope, value and management of construction activities supported by USAID during the period from June 1, 2011 to June 20, 2013.

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 seventh spreadsheet of tenin the Data on food consumption in Zinder and Maradi in Niger.

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 fourth spreadsheet of tenin the Data on food consumption in Zinder and Maradi in Niger.

Data collected at the end of fiscal year 2018 to assess program progress in the far-west and mid-west regions of Nepal. The data set was generated by interviewing a sample of the program participants in all 14 working districts. Topics of the survey include nutrition, water, sanitation, hygiene, alternative livelihoods and governance.

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.)

Data collected at the end of fiscal year 2018 to assess program progress in the far-west and mid-west regions of Nepal. The data set was generated by interviewing a sample of the program participants in all 14 working districts. Topics of the survey include nutrition, water, sanitation, hygiene, alternative livelihoods and governance.

Project Concern International (PCI)'s Pathways to Sustainable Food Security, Njira, was a five-year Food for Peace project funded by USAID from 2015 - 2019. Together with Emmanuel International (EI), the project aimed to reduce chronic malnutrition and food insecurity, and well as build resilience among vulnerable populations in Balaka and Machinga Districts through layered nutrition, health, WASH, agriculture, livelihoods, environmental, and risk reduction interventions. Each year of implementation, Njira conducted an annual beneficiary-based survey to assess whether the project was on track for achieving the intended outcomes for direct beneficiaries. Survey results were utilized to inform program performance, adjust interventions where appropriate, and meet donor reporting requirements. The survey had 3 components with differing sample frames: agriculture, health, and a general, the latter of which included any Njira participant in its sample frame and focused on a variety of topics. More details are included in the protocol. From 2017 - 2019, the annual survey questionnaires and protocol were nearly identical so direct comparisons across annual periods can be warranted, with the exception that data collection for 2017 and 2018 surveys occurred in September/October, and data collection for the 2019 survey occurred in June. Data was collected for the 2019 annual survey between June 1 - 21, 2019.