- 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 2019-07-18T17:31:57.000Z
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 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.
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 Malawi Interim Survey in the Zone of Infuence, Women's Empowerment in Agriculture Index-Time Use Filedata.usaid.gov | Last Updated 2018-11-12T00:04:19.000Z
This dataset is the second of two datasets needed to calculate the Women’s Empowerment in Agriculture Index (WEAI). It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. It includes all of the 24-hour time allocation data from Module G6, the time use questionnaire, and thus each respondent in Module G has multiple records—one for each of the 18 time use activities (17,064 records ÷ 18 activities = 948 WEAI respondents). The unique identifiers are pbs_id + idcode + activity.
- 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 2019-07-29T20:51:59.000Z
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.
- API data.usaid.gov | Last Updated 2020-02-10T19:18:03.000Z
NHSDP is a five-year, USAID- and DFID-funded project designed to increase quality of and access to an essential package of health services (ESP) in Bangladesh, especially among poor and under-served rural and urban populations. In order to achieve this, the project will directly engage with the Sujer Hashi network of 26 service delivery NGOs to strengthen the delivery and local ownership of health services through the provision of clinical and organizational technical support and capacity building.
Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger--Mother Pregnancydata.usaid.gov | Last Updated 2018-11-13T05:02:48.000Z
This dataset describes the behavior of the mothers during pregnancy as determined in the Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger. It has 19 columns and 2,262 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Niger. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later.
- 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.