- API data.usaid.gov | Last Updated 2019-07-18T17:31:57.000Z
The purpose of this survey is to determine the current knowledge and confidence of livestock owners in urban Managua, Nicaragua regarding safety and health procedures related to raising livestock within the city. This study seeks to describe the needs in order to inform future projects to develop curriculum to teach livestock safety and health in urban Nicaragua. This data asset was produced by The Ohio State University in cooperation with CIAT Nicaragua under a US Borlaug Fellows in Food Security grant.
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 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 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 2019-07-31T21:33:38.000Z
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).
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.
- 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 2020-03-17T21:14:34.000Z
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.