- 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.
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.
- API data.usaid.gov | Last Updated 2019-07-31T21:33:38.000Z
This dataset contains information about cost and quantity of products derived from the farm’s livestock. The table can be combined with other datasets in this data asset using the 'hhid' column. The purpose of collecting these data was to examine farm expansion and labor markets in rural Tanzania. Data were collected in 8 rural districts of Tanzania: Mvomero, Kilombero, Njombe, Kiteto, Magu, Moshi Rural, Mkuranga and Liwale. The data were collected through the Feed the Future Innovation Lab for Food Security Policy (FSP).
Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger--Mother Pregnancydata.usaid.gov | Last Updated 2018-11-13T05:02:48.000Z
This dataset describes the behavior of the mothers during pregnancy as determined in the Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger. It has 19 columns and 2,262 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.
- API data.usaid.gov | Last Updated 2019-07-02T18:37:41.000Z
The Office of the Chief Information Officer in the Management Bureau of USAID launched initiatives designed for IT cost savings and avoidance. This dataset includes those initiatives where some or all planned cost savings and avoidance has been realized and the total by year of the realized cost savings and avoidance. The dataset will be updated periodically to reflect new initiatives or adjustments to the totals.
- API data.usaid.gov | Last Updated 2019-08-26T19:47:02.000Z
The President’s Malaria Initiative (PMI) is a U.S. Government initiative designed to reduce malaria deaths and illnesses in target countries in sub-Saharan Africa with a long-term vision of a world without malaria. This data asset contains one dataset which reports on the insecticides used under the President's Malaria Initiative (PMI) Vector Control efforts by locality for 23 countries over time. Locality is reported at region/province, district/zone and village level along with Global Positioning System (GPS) coordinates and an identifier code.
- API data.usaid.gov | Last Updated 2019-05-10T17:05:42.000Z
The Famine Early Warning Systems Network is a leading provider of early warning and analysis on food insecurity. Created by USAID in 1985 to help decision-makers plan for humanitarian crises, FEWS NET provides evidence-based analysis on some 34 countries. Implementing team members include NASA, NOAA, USDA, and USGS, along with Chemonics International Inc. and Kimetrica.