,This dataset contains annual results from the City of Tempe’s Impact Report for fiscal year 2023-2024, produced by the Tempe Department of Health and Human Services and Tempe Community Council. It summarizes key outcomes from programs and services that address community needs such as homelessness, mental health, youth development, and support for vulnerable populations. The data reflects progress made through targeted investments and initiatives guided by the Social Determinants of Health model. It is used to measure results, guide future planning, and ensure resources are directed where they make the greatest impact. Data Dictionary Additional Information: Source: Excel document Contact: Kimberly Van Nimwegen Contact E-Mail: Kimberley_VanNimwegen@tempe.gov Data Source Type: Excel / Table, ZoomGrants Preparation Method: Data is collected from multiple programs and services. Staff and partners enter summarized results into a shared Excel file, or ZoomGrants database which is compiled into the annual dataset. Publish Frequency: Annual Publish Method: Manual,

,The Impact Report was developed by the City of Tempe Department of Health and Human Services in partnership with the Tempe Community Council. This interactive experience highlights significant progress made over the past year in key areas such as homelessness, mental health, youth development, and support for vulnerable populations. Utilizing the Social Determinants of Health model, it features measurable outcomes and data-driven insights that illustrate the tangible benefits of investments, reaffirming collaborative efforts and the resilience of the community.,This report includes success stories, data visualizations, and future strategies designed to enhance the quality of life for all Tempe residents. Gratitude is extended to the City Council, partners, and community members who support these vital efforts.,

This dataset contains responses by government officials from India, Tanzania and Peru who were interviewed during June-August 2017. They filled out a short survey and were introduced to the Impact Evidence website.

This dataset summarizes the impact of federal policy and funding changes on nonprofits, municipalities, and businesses in Connecticut, as reported in the Connecticut Office of Policy and Management's Federal Impact Reporting Tool: https://www.appsvcs.opm.ct.gov/FedImpact This dataset shows the count of reported incidents grouped by state agency and is based on the main Federal Impact Reporting dataset here: https://data.ct.gov/Government/Federal-Impact-Reporting/cyas-fb55/about_data Impacts reported include funding reductions, pauses and delays in accessing funds, as well as employment reductions, and impacts from tariffs. Duplicate responses to the survey have been removed from this dataset. More information on the Federal Impact Reporting Tool can be found here: https://portal.ct.gov/governor/news/press-releases/2025/04-2025/governor-lamont-launches-reporting-tool-for-entities-impacted-by-recent-federal-actions

This dataset summarizes the impact of federal policy and funding changes on nonprofits, municipalities, and businesses in Connecticut, as reported in the Connecticut Office of Policy and Management's Federal Impact Reporting Tool: https://www.appsvcs.opm.ct.gov/FedImpact This dataset shows the count of reported incidents grouped by problem experienced and is based on the main Federal Impact Reporting dataset here: https://data.ct.gov/Government/Federal-Impact-Reporting/cyas-fb55/about_data Impacts reported include funding reductions, pauses and delays in accessing funds, as well as employment reductions, and impacts from tariffs. Duplicate responses to the survey have been removed from this dataset. More information on the Federal Impact Reporting Tool can be found here: https://portal.ct.gov/governor/news/press-releases/2025/04-2025/governor-lamont-launches-reporting-tool-for-entities-impacted-by-recent-federal-actions

This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 2,434 block groups in Phoenix, AZ. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 2,434 block groups in Phoenix, AZ. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset contains data contributed by EPA/ORD/NERL/CED researchers to the manuscript " Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3" led by Dr. Ulas Im of Aarhus University in Denmark. This dataset is associated with the following publication: Im, U., J. Brandt, C. Geels, K. Hansen, J. Christensen, M. Andersen, E. Solazzo, I. Kioutsioukis, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, C. Liang, U. Nopmongcol, G. Pirovano, L. Pozzoli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, J. West, G. Yarwood, C. Hogrefe, and S. Galmarini. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 5967-5989, (2018).

Mathematica Policy Research was contracted by USAID to conduct an impact evaluation of the Amazonia Lee (ALEE) program. We partnered with the Grupo de Análisis para el Desarrollo (GRADE) as our local research and data collection partner to conduct a randomized control trial to rigorously estimate the impacts of Amazonía Lee. The main data sources for the impact evaluation are student reading assessments, classroom observations, a teacher survey, and a school infrastructure survey. We collected three rounds of survey data from a sample of program and control schools in two regions: Ucayali and San Martin. Mathematica cleaned the raw survey data collected by GRADE and produced data files for use in the final analysis. The cleaned survey data in these files are part of the deliverables of the Amazonía Lee evaluation. In preparing the cleaned survey data for delivery to USAID, we masked all direct identifiers, such as personally identifiable information (PII) of students and teachers, and randomized numeric identifiers such as student and school codes. However, because other potentially indirect identifiers remain in the data, the data files delivered to USAID are intended for restricted use only and should not be made publicly available.