Feed the Future Nepal Interim Survey in the Zone of Influence: This dataset contains records for all children under 3 years of age (0-35 months) (n=229, vars=49). This file includes data in Module I for children's consumption of the Nepal-specific nutrient rich value chain commodities (NRVCC).

This dataset contains records describing each household sampled during the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. This dataset includes variables from Modules A, D, and F in the questionnaire. The unique identifier for this file is pbs_id, Please note that all key household-level derived variables are also included in the household dataset, including, for example, gendered household type (“ghht”) and the household hunger indicator (“hhhunger”)

The Latin America Public Opinion Project (LAPOP) implemented this survey in Costa Rica as part of its 2006 round of surveys. The 2006 survey was conducted by Vanderbilt University, and the field work was carried out by Central American Population Center (CCP) of the University of Costa Rica.

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.

This dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger as well as the water and sanitation resources available to the household. It has 200 columns and 7,337 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Niger. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later.

The C-CURE System manages certain aspects of the access control system, including collecting employee and contractor names and photographs. The Office of Security uses C-CURE to collect this information to verify that individual employees are who they say they are.

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

The Latin America Public Opinion Project (LAPOP) implemented this survey in Costa Rica as part of its 2004 round surveys. The 2004 survey was conducted by the Central American Population Center de CCP of the University of Costa Rica.

Feed the Future Uganda Interim Survey in the Zone of Infuence: This dataset is an individual-level dataset for all women age 15-49 with a completed interview captured in Module H of the questionnaire (n=760, vars=112).

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 Feed The Future Interim Population-Based Assessment of Cambodia, Module E1-03, Quantities of Foods Consumed During the Last Week.