- 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 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 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 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 2019-08-26T19:47:02.000Z
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 2019-07-02T18:37:41.000Z
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 2019-07-18T17:31:57.000Z
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.
- API data.usaid.gov | Last Updated 2019-10-21T18:24:14.000Z
In this manuscript, we synthesize current and legacy data from multiple studies to better understand the distribution and diversity of soil types and their properties in the Plateau physiographic region of the West Usamabara Mountains in Northeastern Tanzania. Analysis of soil properties and soil classification in the resulting dataset of 468 sites by land use, landscape position, and elevation revealed important relationships relevant for management and land use planning. These sites occurred across a range of landscape positions and an elevation gradient from 1040 – 2240 m.a.s.l. Soil diversity at the U.S. Order and WRB Reference Group levels was higher than expected, with five U.S. soil orders and seven WRB Reference Groups described in the dataset, and the highest soil diversity occurring at lower landscape positions. We found that soil organic carbon (SOC) and pH were two master variables that were correlated most other soil properties. Sites under cultivated land uses had the lowest topsoil soil organic carbon (SOC) concentrations, and SOC generally increased with increasing elevation. Mature forest and charcoal production areas did not significantly differ in their depth distributions of SOC. Valley soils had significantly lower surface SOC concentrations but higher exchangeable bases and pH values than all other landscape positions. Soil pH decreased by an average of 3.5 units across the entire elevation gradient and decreased by 1 unit with elevation even after SOC, land use and landscape position were included in multiple regression models. Local pedotransfer functions were developed to assist with the use of pH, clay and SOC as proxies for more difficult to measure soil properties such as cation exchange capacity (CEC) and base saturation (B.S.), bulk density and total phosphorus. Phosphorus (P) and potassium (K) were identified as the most likely limiting nutrients in West Usambaran plateau soils in general. This information is critical for sustainable land management which will be applicable to the soils of other mountain complexes in the Eastern Arc chain.
- API data.usaid.gov | Last Updated 2019-04-08T21:06:56.000Z
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.
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.