- API data.usaid.gov | Last Updated 2019-12-16T16:48:20.000Z
Feed the Future (FTF) initiative in Ghana is a collaborative effort that supports country-owned processes and plans for improving food security and nutrition, particularly in the northern part of the country. These datasets cover the interim survey that took place in 2015 and was designed as a follow-up to the baseline survey that happened from 2012 to 2013. The survey covered a range of indicators organized around four groups: (1) economic well-being; (2) women and children anthropometry; (3) hunger and diet diversity; and (4) women's empowerment. The survey design involved two stages in which enumeration areas were selected followed by households. Data was collected in a face-to-face fashion using well-designed questionnaires and other study materials.
- API data.usaid.gov | Last Updated 2018-11-13T19:35:18.000Z
The Rwanda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in almost the entire country, including all four provinces and all of rural Rwanda. This is an individual dataset with all women with a completed interview in Module H of the questionnaire.
- 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 2019-10-22T18:02:45.000Z
The A Ganar Alliance impact evaluations (IEs) are two interrelated studies designed to assess the effectiveness of the A Ganar sport-for-development program in Honduras and Guatemala, allowing USAID to compare outcomes in different contexts, increasing the external validity, or generalizability, of evaluation findings. Both evaluations utilize a mixed-methods, randomized control trial (RCT) approach to provide quantitative estimates of project impact as well as qualitative data regarding the lived experiences of beneficiaries. Both studies answer the “proof-of-concept” question: to what extent does participation in and completion of the A Ganar program increase the likelihood that youth will obtain and maintain jobs, return to school, start their own business or reduce risky behavior? It is important to note that reduction in risk behavior was not an objective of the A Ganar program, but USAID added this metric because A Ganar was working in high violence contexts and wanted to understand programmatic effects on violent/risky behaviors. Additionally, by comparing A Ganar to similar non-sports programs, the Guatemala evaluation explores whether or not sport provides additional benefits to workforce development programming. This submission contains baseline, midline, and endline data from both countries where the program was implemented, in Guatemala and Honduras. The A Ganar program hypotheses was tested through a rigorous five-year RCT. The target population for the intervention is at-risk youth living in Tegucigalpa, San Pedro Sula, Guatemala City and surrounding areas. Data was collected from six cohorts (two pilot cohorts and four evaluation cohorts), each surveyed at three distinct times between 2013 – 2016: (1) a baseline completed within two weeks of the final application interview, (2) an immediate post-program follow-up, and (3) an endline occurring 18 months after program completion. Excluding the pilot cohorts, the total sample size for the study is 3,070 respondents (1,219 in Guatemala and 1,851 in Honduras). Randomized assignment was conducted at the individual level within each local implementing organization (IO) resulting in three groups: 1,389 treatment youth (A Ganar), 410 comparison program youth (non-sports), and 1,271 control youth (no program). For endline, an attempt was made to survey all 3,070 youth. Enumeration teams were able to complete interviews with 2,593 (75 percent in Guatemala and 90 percent in Honduras) of the youth.
- API data.usaid.gov | Last Updated 2018-11-13T03:28:52.000Z
A part of the 2014 round of public opinion surveys implemented by LAPOP, the Colombia survey was carried out between March 28st and May 5th of 2014. It is a follow-up of the national surveys since 1991. The 2014 survey was conducted by Vanderbilt University and the Universidad de los Andes and the Observatorio de la Democracia with the field work being carried out by the Centro Nacional de Consultoria (CNC). The 2014 AmericasBarometer received generous support from many sources, including USAID, UNDP, IADB, Vanderbilt U., Princeton U., Université Laval, U. of Notre Dame, among others.
- 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.
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.
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 2019-12-02T19:53:35.000Z
GH Pro conducted an endline evaluation of USAID’s Maternal Child Survival Program (MCSP-MNCH)1 to assess if it had achieved its objectives and planned outputs, as stated in its program description, in Nigeria’s Ebonyi and Kogi states. Five questions evaluated increases in access and utilization of reproductive, maternal, newborn, and child health interventions; gender-transformative strategies; sustainability; the program’s learning agenda vis-à-vis the Nigerian government’s learning needs; and use of program data. The evaluation team used a retrospective analytic and a cross-sectional design to address the five questions, and mixed methods were used for data collection, including reviews of the national District Health Information System (DHIS) 2, MCSP-MNCH datasets, and 51 program documents. Apparent improvements were noted in the utilization of six interventions: oxytocin, partograph, Chlorhexidine 4% gel, newborn resuscitation, essential newborn care, and integrated Community Case Management, particularly with referral of danger signs. MCSP-MNCH baseline data was not available nor calculable for magnesium sulphate or Kangaroo Mother Care. Data was also not available for postpartum family planning for first-time parents and Bubble Continuous Positive Airway Pressure for newborn resuscitation, as a study was undergoing analysis and data was not ready. Furthermore, the dataset MCSP-MNCH provided to the evaluation team was incomplete, imprecise, and contained errors, raising concerns about noted improvements. The program’s work in male engagement and Mothers Savings and Loans Clubs hold promise for transforming gender norms but reached too few people. Most of the program’s reproductive health and MNCH interventions are likely to be included in budgets in Ebonyi and Kogi through the World Bank’s Saving One Million Lives project, but without specific commitment from the states’ governors, funding release may be jeopardized. The learning agenda helped inform implementation, but the government did not help shape the research. Last, MCSP-MNCH project created a new DHIS database instance for its project data only, including new indicators that it introduced (like application of Chlorhexidine 4% gel for newborn cord care), as well as indicators that were already available in the national DHIS 2 database; it is housed within the same server as the national DHIS 2.