- API data.usaid.gov | Last Updated 2018-11-26T15:58:54.000Z
The objective of the Rwanda Feed the Future program is to sustainably reduce poverty and hunger by improving nutritional status of women and children and through inclusive agriculture sector growth. To reduce hunger and poverty in Rwanda, Feed the Future is tackling major constraints to agricultural investment. This includes core investments committed to building market linkages, increasing agricultural productivity, and improving infrastructure and nutrition. The assessment is designed for use as a monitoring tool, and as such provides point estimates of the indicators with an acceptable level of statistical precision.
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 2020-03-04T17:59:06.000Z
Twenty-two organizations that received sub-awards under the Moldova Partnerships for Sustainable Civil Society (MPSCS) undergone an Organizational Development Assessment (ODA), resulting in organizational profiles with quantitative measures based on which their progress is tracked annually. ODA is a self-evaluation of CSOs across seven main capacity areas: governance, implementation and management practices, human resources management, financial management and sustainability, constituency-centered programs, networking and advocacy, and media and promotion. Each area is ranked on a four-part scale: nascent (0–1.4), emerging (1.5–2.9), expanding (3–4.4), and mature (4.5–6). MPSCS facilitated ODA for 22 CSOs in 2013, 2014 and 2015.
- API data.usaid.gov | Last Updated 2018-11-13T05:14:40.000Z
The Measuring Impact of Stabilization Initiatives (MISTI) project was awarded to Management Systems International (MSI) on March 14, 2012 and concluded on September 30, 2015.USAID/Afghanistan’s MISTI ranks as the largest and most comprehensive trends analysis and impact evaluation of stabilization interventions that the U.S. Government has ever undertaken. It is also the only one to date subjected to peer review; in addition, three peer review papers for publication in leading journals and a presentation for the 2015 annual conference of the American Evaluation Association are in preparation. This MISTI survey data file contains the combined response data from five semi-annual iterations or “waves” of surveys conducted from September 2012 through November 2014 to determine whether USAID project activities caused changes in stability and resilience at the district and village levels.At the start, MISTI compiled a baseline stabilization and impact evaluation and survey. For the five waves of surveys, each of which was conducted over several months, a total of 190,264 individual interviews were undertaken in 5,093 different villages across 130 districts of the 23 provinces where stabilization initiatives were being implemented or considered. These data were compiled into one file to facilitate easy access for international development practitioners, researchers and other interested parties in accordance with the USAID’s Open Data Policy. As part of this process, village names and locations have been replaced with unique village identifiers to ensure the safety of Afghan stakeholders. This preserves a researcher's ability to access granular data and see trends at the village-level, but prevents data consumers from attributing responses to a named Afghan village.The datasets supplied here are in CSV format. In addition to the response-level dataset (MISTI_Survey_Data), we are providing a village-level dataset (MISTI_Village_Data). Each row of this dataset contains data from one unique village surveyed by MISTI in Waves 1-5. The dataset is in wide format. Each variable is identified by a wave number and a proximity to the village. Data include village demographic characteristics, violent incident counts, stabilization and NSP project activities, and perception indicators from individual survey interviews aggregated to the village mean. These data were analyzed for the MISTI impact evaluation of USAID stabilization programming in Afghanistan, 2012-2014.Codebooks are supplied for each dataset as is the final survey instrument used. By way of supplement, we also provide the original SPSS files, which may speed analysis for certain researchers.
- API data.usaid.gov | Last Updated 2019-08-28T14:03:06.000Z
Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This baseline survey seeks to capture data on women’s empowerment in agriculture, household food security, consumption, nutrition, and wellbeing of households in the geographic areas targeted by Feed the Future interventions, known as Feed the Future Zones of Influence (ZOI). The ZOI in northern Kenya comprises nine counties and approximately two-thirds of Kenya’s total land area. This dataset is a household-level file with records for each sampled household with a completed interview (n=1837, variables=102).
- API data.usaid.gov | Last Updated 2020-03-12T20:20:43.000Z
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 2019-08-08T23:35:44.000Z
This dataset is the second of two interim surveys administered from October 2015 through October 2016 to enable the Feed the Future PRIME project in Ethiopia to monitor program performance by reviewing changes in a number of standardized indicators. These indicators reflect data collected through population-based surveys (PBS) in the geographic areas targeted by Feed the Future interventions, known as the Feed the Future Zones of Influence (ZOI). Each survey was administered to a sample of over 400 households in 17 kebeles (communities) once a month over a 6-month period creating for a total of six rounds of data for each survey.
- API data.usaid.gov | Last Updated 2018-11-09T22:52:59.000Z
This dataset contains the percent of program funds leveraging private capital through the DCA during the period 2010-2016, a part of the USAID Forward reform initiative that ran from 2010-2016. USAID Forward improved the way that the Agency delivers foreign assistance by embracing new partnerships, investing in the catalytic role of innovation, and demanding a renewed focus on results. In 2017, the Agency determined that the work advanced under USAID Forward had largely been institutionalized. On this site, you will find the FY 2012-2016 data related to USAID Forward's three main areas of focus: 1) Deliver results on a meaningful scale through a strengthened USAID, 2) Promote sustainable development through high-impact partnerships and local solutions, and 3) Identify and scale up innovative, breakthrough solutions to intractable development challenges. As of October 2017, we are no longer updating information, including collecting indicators, on this legacy effort.
Impact Surveys for Smallholder Customers of Agricultural technologies in Kenya and Mozambique as Part of the Feed the Future Initiative- Datadata.usaid.gov | Last Updated 2019-08-15T20:27:31.000Z
The Feed the Future Partnering for Innovation (FTF-P4I) initiative is a USAID-funded program that helps commercialize agricultural innovations in smallholder markets by supporting public-private partnerships to meet food security objectives. FTF-P4I requires private sector subawardees to report on proprietary business and sales data rather than collect farmer-level data, and when necessary program staff then use this data in combination with assumptions around product usage to calculate specific indicators such as the number of farmers impacted by program activities or the number of hectares under improved technologies or management practices. FTF-P4I then confirms farmer-level impact with additional field surveys, especially for subawardees with significant potential impact on women or with sales to farmers through third party distributors. These measures guarantee greater data quality of both sales data and assumptions used to calculate indicators, such as the number of farmers applying improved technologies, as well as promote better precision on farmer-level impact and impact on women. The submitted dataset includes the results of seven subawardees located in Kenya (Surehatch, AATF) and Mozambique (BOM, iDE, NCBA CLUSA, EMCL).
Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Household Consumption Expendituresdata.usaid.gov | Last Updated 2018-11-11T23:21:04.000Z
Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=1,837, vars=66) contains variables from Module E, the Household Consumption Expenditures module used to calculate the poverty and expenditure indicators. It includes household-level derived variables (including the expenditure and poverty indicator variables), as well as variables from sub-module E6:Housing Expenditures.