- API data.usaid.gov | Last Updated 2018-11-14T18:44:40.000Z
Electronic Capital Planning and Investment Control System is one of the primary systems used by the government to gather, analyze and submit Information Technology (IT) business cases to the Office of Management and Budget (OMB). The system application is a web-based, Government-owned technology solution that Federal Agencies use to support their internal Portfolio Management, IT Capital Planning, and IT Governance processes and also to meet their external reporting requirements to the Office of Management and Budget (OMB). eCPIC was developed to address agency needs to IT Capital Planning.
Feed The Future Interim Population-Based Assessment of Cambodia, Modules H-I, Anthropometry and Food Consumed by Children: Section 2data.usaid.gov | Last Updated 2018-11-11T19:25:58.000Z
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 Feed The Future Interim Population-Based Assessment of Cambodia, Modules H-I, Anthropometry and Food Consumed by Children.
Feed The Future Interim Population-Based Assessment of Cambodia, Module E1-05, Expenditures on Food Actually Consumed During the Last Weekdata.usaid.gov | Last Updated 2018-11-11T19:26:41.000Z
This dataset records the expenditures for that part of food purchased on specific foods actually consumed by the household during the 7 days before the survey from the first interim assessment of Feed the Future's population-based indicaors for the ZOI in Cambodia. It has 1019 rows and 300 columns. The ZOI is the Pursat, Battambang, Kampong Thom, and Siem Reap Provinces. The sampling design called for a two-stage cluster sample. In the first stage, 84 villages were selected; in the second stage, households were selected within each sampled village. The sampling of villages was stratified by province, with the number of villages in each stratum proportional to the population in the stratum and with villages selected with probability proportional to size, based on the 2013 Commune Database. The data is split into survey modules. Modules A through C includes location information, informed consent, and the household roster. Module D includes household characteristics. Module E is the expenditures module broken up into 8 different parts. Modules F and G include the hunger scale data and WEIA index data. Data in modules H and I include mother and child dietary diversity.
- API data.usaid.gov | Last Updated 2018-11-11T20:06:01.000Z
The Zambia Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in five districts — Chipata, Katete, Lundazi, Nyimba, and Petauke in Zambia. This dataset contains responses from women surveyed.
- API data.usaid.gov | Last Updated 2019-04-08T21:06:56.000Z
The survey of Macedonian public opinion was conducted on behalf of the International Republican Institute by the Brima market research firm. Data was collected from September 29 to October 5, 2015 using in-person, face-to-face methodology by trained professional interviewers. A total of 1,106 interviews was completed yielding an overall margin of error of plus or minus three percent at the midrange of the 95-percent confidence level. A nationally representative sample was based on a multistage stratification proportionate to population sample distribution, with a random selection of households and respondents. The refusal rate stands at 382 cases, out of which 71 refused to take part in the survey due to resistance to political questions.
Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger--Agricultural Practices: Section 2data.usaid.gov | Last Updated 2018-11-13T05:02:48.000Z
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.
Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Non-Food Expenditures Over Past One Monthdata.usaid.gov | Last Updated 2018-11-11T23:21:15.000Z
Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=53,070, vars=17) contains data from sub-Module E3: Non-Food Expenditures Over Past One Month. Each household with data for non-food expenditures over the past month has multiple records (for the 29 non-food items in sub-Module E3). (53,070 records divided by 29 non-food items = 1,830 Module E households with sub-Module E3 data.)
- API data.usaid.gov | Last Updated 2018-12-06T19:19:56.000Z
To fulfill international aid reporting requirements, USAID built a data repository for tracking all foreign assistance activities funded by the U.S. Government. This collection of datasets contains the U. S. Government's Annual Assistance Report (USAAR) to the Development Assistance Committee (DAC) of the Organization for Economic Cooperation and Development (OECD).
- API data.usaid.gov | Last Updated 2019-07-29T20:51:59.000Z
The post distribution monitoring (PDM) surveys relate to household food security and the role of food assistance in achieving household food security. The survey asked how beneficiaries use food assistance transfers, whether that usage is consistent with the way in which the project was designed. Through an accountability mechanism, the beneficiaries could also speak to challenges and provide feedback.
Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Child Healthdata.usaid.gov | Last Updated 2018-11-13T05:02:49.000Z
This dataset describes the children and their health interviewed as part of Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda. This dataset contains data from Module D of the questionnaire and has 201 columns and 6,001 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.