- 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.
Predictors and outcomes of perinatal HIV transmission in the PMTCT program at regional referral hospitals in Ugandadata.usaid.gov | Last Updated 2020-03-11T20:26:58.000Z
This data asset is for a retrospective study of all the HIV-exposed infants and their mothers identified between October 2012 and September 2013 at 10 USAID/SUSTAIN (Strengthening Uganda’s Systems for Treating AIDS Nationally)-supported regional referral hospitals in Uganda. The project conducted this study to better understand the predictors of MTCT to design effective strategies to eliminate MTCT HIV transmission. The following were the study objectives: 1. Determine the 24 months incidence of MTCT HIV transmission and loss to follow-up among HIV exposed children in regional referral hospitals; 2. To determine factors associated with MTCT among HIV exposed infants at Regional Referral Hospitals in Uganda; 3. To determine re-testing rates among HIV exposed infants who test negative at 1st PCR.
- API data.usaid.gov | Last Updated 2020-01-30T16:47:08.000Z
This data set contains information on programs and activities funded by the United States Agency for International Development and the Millennium Challenge Corporation that support improved land and resource governance. This information was collected as part of the U.S. Government’s commitment to support the Global Donor Working Group on Land – a coalition of bilateral and multilateral donors and development agencies committed to improving coordination and information sharing in the land and resource governance sector. As part of their commitments to support this group, the U.S. Government and other donors have agreed to provide updated information on all of their land and resource governance programming twice a year. This includes programs that are entirely focused on land and resource governance, as well as land governance and resource governance activities or components of programs with a broader focus.
- API data.usaid.gov | Last Updated 2020-01-08T17:30:49.000Z
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.
- 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).
- 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.
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.)
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.
- API data.usaid.gov | Last Updated 2020-03-12T20:25:19.000Z
Feed the Future initiative in Malawi is committed to improving food security and nutrition in farming households while reducing rural poverty through an agriculture-led, integrated economic growth, nutrition, and natural resource management strategy. The goal of the impact evaluation is to determine whether integrating nutrition interventions alongside agricultural value chain interventions will contribute to a greater reduction in malnutrition among children under 3 years of age, compared to nutrition improvements anticipated from stand-alone value chain activities. The main objectives are to enable USAID missions to meet the performance monitoring requirements of Feed the Future and maximize the use and benefits of data collected; provide high-quality empirical evidence to inform program design and investment decisions that will promote sustainable food security; ensure timely availability of highquality data for use in monitoring performance and evaluating impacts of the Feed the Future initiative; and facilitate accountability and learning about which Feed the Future interventions work best, under what conditions, and at what cost.