This dataset contains the number of emerging local staff participating in formal mentoring programs during the period 2010-2016, a part of the USAID Forward reform initiative that ran from 2010-2016. USAID Forward improved the way that the Agency delivers foreign assistance by embracing new partnerships, investing in the catalytic role of innovation, and demanding a renewed focus on results. In 2017, the Agency determined that the work advanced under USAID Forward had largely been institutionalized. On this site, you will find the FY 2012-2016 data related to USAID Forward's three main areas of focus: 1) Deliver results on a meaningful scale through a strengthened USAID, 2) Promote sustainable development through high-impact partnerships and local solutions, and 3) Identify and scale up innovative, breakthrough solutions to intractable development challenges. As of October 2017, we are no longer updating information, including collecting indicators, on this legacy effort.

The Uganda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 38 districts across eight regions of the country. The PBS was conducted from October 25 to December 30, 2012. The overall objective of the survey is to provide baseline data on living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. This dataset is the second of two datasets needed to calculate the Women's Empowerment in Agriculture Index-related measures.

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 sixin the Guatemala Maternal health and Sanitation Data.

This file contains indices of stability by region based on the data from the Measuring Impact of Stabilization Initiatives Project (MISTI). The key indices studied were government capacity, local governance, quality of life and community cohesion.

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.

This dataset describes the agriculture practices of the household surveyed as part of Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda. This dataset contains data from Module G of the questionnaire and has 471 columns and 5,834 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 Uganda. 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 data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets. 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 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 Karamoja, Uganda as well as the water and sanitation resources available to the household. This dataset contains data from Modules F and J of the questionnaire and has 295 columns and 4,766 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 Uganda. 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 data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets.

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 thirteenin the USAID Construction Assessment, Subawards.

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 sixin the Guatemala Food Consumption Data.

The Latin America Public Opinion Project (LAPOP) implemented this survey in Guyana as part of its 2006 round of surveys. The 2006 survey was conducted by Vanderbilt University and the Institute of Development Studies (IDS) of the University of Guyana funded by USAID.