- 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 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 2020-02-03T17:35:46.000Z
The project connects farmers with suppliers, improve agriculture extension services and inputs, and stimulate market growth to present new opportunities for millions of households to improve their standard of living and quality of life. This data asset contains agricultural prices for select markets on a monthly basis from January 2000 to December 2016 in Kebbi State. Data consists of 14 files with monthly prices for maize, millet, sorghum and rice in select markets in Kebbi State.
- 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).
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 2020-02-06T16:22:36.000Z
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 2019-12-02T20:12:58.000Z
This dataset contains information on dietary diversity of female household members of producer beneficiaries included in the FY 18 producer survey. This dataset is Module C of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.
- 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 Interim Population-Based Assessment of Cambodia, Modules H-I, Anthropometry and Food Consumed by Children: Section 2data.usaid.gov | Last Updated 2020-02-06T15:48:26.000Z
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.