- 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 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.
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.)
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.
- 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 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.
- 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 2018-11-26T16:23:05.000Z
Feed the Future Rwanda Interim Survey in the Zone of Influence: This dataset is an individual-level dataset with the data for all women age 15-49 with a completed interview captured in Module H of the questionnaire (n=1,155, vars=31).