This dataset draws information from a public USAID database and was web-scraped and audited by AidData. It includes expanded project descriptions for 6659 projects. AidData sector and activity codes have also been applied. Funding amounts are not included in this dataset.

"ForeignAssistance.gov is the U.S. government’s flagship website for making U.S. foreign assistance data available to the public. It serves as the central resource for budgetary and financial data produced by U.S. government agencies that manage foreign assistance portfolios. In keeping with the U.S. government’s commitment to transparency, ForeignAssistance.gov presents a picture of U.S. foreign assistance in accurate and understandable terms. The website also includes links to associated strategies and evaluations for U.S. foreign assistance programs. This site will be continually updated as data are available. Look for new features and enhancements as they come online.The primary objective of the site is to fulfill the requirements set forth in the Foreign Aid Transparency and Accountability Act of 2016 (FATAA) through the collection, tracking, and publication of the full lifecycle of all USG foreign assistance data."From Internet ArchiveMethodology:ForeignAssistance.gov captures both budgetary and financial information related to U.S. foreign assistance. These two types of data capture foreign assistance at different points in the financial lifecycle.Budgetary DataBudgetary data represents funds that are set aside to be spent by the U.S. government and its implementing partners in the future. Budgetary data is composed of request data – funds requested by U.S. government agencies – and appropriation data – funds appropriated by Congress to U.S. government agencies through spending bills signed into law. This data is reported on an annual basis for the fiscal year for which the funds were requested or appropriated.President's Budget Requests – The agencies prepare a funding request from Congress. The request data visualized on ForeignAssistance.gov comes from each agency's budget request. Each U.S. government agency prepares a budget request to Congress, which is compiled into the President's Budget submission to both the U.S. Senate and the U.S. House of Representatives. This submission provides a comprehensive outline of all programs and the associated funds the President proposes to execute in the upcoming fiscal year, and as such is not an authority to spend funds. This is also known as the Congressional Budget Justification (CBJ).Appropriations – Congress appropriates funds to U.S. government agencies in a series of appropriations acts or spending bills, which are then signed into law by the President. These laws provide funds to the agencies, which are subdivided into specific amounts to be spent on set categories or activities over a specified amount of time. In many instances, funds appropriated in a given fiscal year do not need to be obligated in that same fiscal year. The data visualized on ForeignAssistance.gov originally comes from the appropriation passed by Congress and is refreshed with final amounts for the agencies once this data is available.Financial DataFinancial data includes both obligated data – funds the U.S. government commits to an acquisition or award mechanism – and disbursed data – funds the U.S. government moves to implementing partners for the purchase of goods and services. U.S. government agencies report financial transaction data from their accounting and project management systems on a quarterly basis, if possible. The fiscal years associated with obligated and disbursed transaction data represent the years in which those transactions took place. Transaction data is more granular than activity data. Transaction data represent individual financial records in an agency's accounting system of record for program work with implementing partners and administrative expenses.What is Foreign Aid?Foreign assistance is provided by the United States to other countries to support global peace, security, and development efforts, as well as to provide humanitarian relief during times of crisis. The U.S. government provides foreign assistance because it is strategically, economically, and morally imperative for the United States and vital to U.S. national security.For purposes of this website, foreign assistance includes activities funded from appropriations accounts that are made available for assistance for foreign countries, international organizations, and other foreign entities, which may include, but is not limited to, funds, goods, services, and technical ass

The Anticorruption Projects Database includes information about USAID projects with anticorruption interventions implemented worldwide between 2007 and 2013. The database includes about 300 long-term country projects and regional or short-term projects. Projects were identified and information collected by the six implementing partners of the ENGAGE indefinite quantity contract. Criteria for selecting projects included: distinctive project interventions targeted at reducing corruption or promoting government integrity, accountability and transparency that ultimately results in reducing opportunities to corruption. Availability of sufficient information about the projects was another criterion for selecting them to the Database. This included but was not limited to project description and results, implementation timeframe, project value, and implementer. After reviewing approximately 2000 projects, more than 300 were identified for the Database.

Two USAID-funded Mali projects’ data are included in this folder covering 2015 and 2021: 1) Mali’s Girls Leadership and Empowerment Through Education (GLEE), and 2) Selective Integrated Reading Activity (SIRA). Across these projects, the folder contains the following files and numbers of each: codebooks (3), consent (11), data files (4), instruments (2), and reports (1).

This spreadhseet contains historical information regarding public-private partnerships from FY 2001 to FY 2014. It is part of the data asset that brings together information collected since 2001 on Public Private Partnerships (PPPs) that have been supported by USAID. For the purposes of this dataset a PPP is defined as a USAID-supported development project or initiative which engages the private sector (including corporations, foundations, and other non-governmental actors) as a core resource partner. Due to changes in Agency data collection systems, standards, and internal organization, the data has been collected according to different mechanisms, definitions, and timeframes from 2001-2016, and therefore cannot be considered to be comprehensive of all PPPs during this period.

The Records Management Database is tool created in Microsoft Access specifically for USAID use. It contains metadata in order to access and retrieve the information on more than 330,000 USAID projects and programs that have been manually scanned into archives stored on CD-ROM. The system tracks files required by each Bureau and Mission in the event of an emergency. A complete roster of the files stored on the system is submitted annually to M/MS/IRD.

This dataset brings together information collected since 2001 on PPPs that have been supported by USAID. For the purposes of this dataset a Public-Private Partnership is defined as a USAID-supported development project or initiative which engages the private sector (including corporations, foundations, and other non-governmental actors) as a core resource partner. Due to changes in Agency data collection systems, standards, and internal organization, the data has been collected according to different mechanisms, definitions, and timeframes from 2001-2015, and therefore cannot be considered to be comprehensive of all PPPs during this period.

Two USAID Tajikistan projects’ data are included in this folder, covering the period from 2013 to 2021. The projects are: 1) Quality Reading Project (QRP) and 2) Reading With Me (RWM). Across the projects, the folder contains the following files, with the number of each indicated in parentheses: codebooks (27), consent forms (2), data files (30), instruments (4), and reports (6).

Five USAID funded Democratic Republic of the Congo project's data are included in this folder covering the period from 2011 to 2022. The projects are: 1) Accelere!, 2) Accès, Lecture, Redevabilité et Rétention! Activity 1 (A!1) Project, 3) Integrated Youth Development Activity (IYDA), 4) MECC, and 5) Opportunities for Equitable Access (OPEQ). Across these projects, the folder contains the following files and numbers of each: codebooks (37), consent (13), data files (21), instruments (21), and reports (9).

This folder contains data from four USAID-funded Liberian education projects spanning 2008–2021: 1) Accelerated Quality Education (AQE) for Liberian Children, 2) EGRA Plus, 3) Liberia Teacher Training Program (LTTP II), and 4) READ Liberia. Across these projects, the folder includes 15 codebooks, 10 consent forms, 22 data files, 17 instruments, and 11 reports.

The USAID Deliver Project is designed to procure and deliver health supplies to USAID-supported programs worldwide. These supplies included condoms, contraceptives and reproductive health supplies, laboratory equipment and supplies, essential medicines, and special equipment, such as ambulances, ambulance boats, incubators, x-ray machines, and more. This dataset, Shipments of condoms and contraceptives, was collected under the USAID DELIVER project, Task Order 5, from October 2010 through the end of the project in September 2016.

The goal of USAID’s Maternal and Child Health Integrated Program (MCHIP) is to assist in scaling up evidence-based, high-impact MNCH interventions to contribute to significant reductions in maternal and child mortality. MCHIP has worked in India since 2009, with national, state, and district-level health departments and national programs as well as development partners to strengthen reproductive, maternal, and child health. The program built on lessons learned from four earlier USAID global technical assistance programs. Data were collected from facilities involved in USAID supported activities to improve the quality of medical care pregnant women in two states in India. The data was aggregated at the facility level. No direct reference to individual participants was reported.

In March 2016, USAID sponsored the U.S. Institute for Peace (USIP) and researchers from Princeton’s Empirical Studies on Conflict project (ESOC)in their analysis of numerous studies, articles, and data sets onstabilization programming in Afghanistan. USIP and ESOC subsequently synthesized and analyzed quantitative and qualitative data on stabilization projects and prepared a final summary report that analyzed the impact of stabilization programs in Afghanistan and other countries where USAID operates. After finalization of this ESOC report in June 2017, the team also drafted a Special Report, “Aid and Stabilization in Afghanistan: What Do the Data Say”, summarizing the main report’s findings. The summary offindings and the data reports are attached. In the process of preparing the What Do the Data Say report, the Princeton Team prepared the attached EXCEL data sets and Code Book supporting their analyses.

The Global Health Investment Landscaping project database consists of information about impact-oriented and global health-supporting investment funds or capital providers with a focus on East Africa and India. The data contains basic information about the organizations identified including size, geographic focus, and type of organization as well as descriptions about their deals and investments.

This project expands on the FY12 external facing portal implementation and leverages the Identity Management solution framework to provide greater efficiency for USAID and business and partners to securely and reliably conduct day to day business transact.

OpenText Content Services connects information from across the enterprise with the people and systems that need it. The enterprise content management software drives personal productivity with simple, intuitive tools and user experiences and process productivity through full integration with lead applications such as SAP and Microsoft. Content Services has an intuitive user interface, with role-based views to enterprise, project-oriented and personal workspaces that feature access to the most recent documents and more. Connected Workspaces simplify the deployment of ECM using templates aligned to business processes.

One USAID- funded Niger project's data is included in this folder covering the period from 2013 to 2016. The project is 1) Niger Education and Community Strengthening (NECS). The folder contains the following files and numbers of each: codebooks (13), consent (0), data files (12), instruments (11), reports (2).

This collection consists of geospatial data layers and summary data at the country and country sub-division levels that are part of USAID's Demographic Health Survey Spatial Data Repository. This collection includes geographically-linked health and demographic data from the DHS Program and the U.S. Census Bureau for mapping in a geographic information system (GIS). The data includes indicators related to: fertility, family planning, maternal and child health, gender, HIV/AIDS, literacy, malaria, nutrition, and sanitation. Each set of files is associated with a specific health survey for a given year for over 90 different countries that were part of the following surveys:Demographic Health Survey (DHS)Malaria Indicator Survey (MIS)Service Provisions Assessment (SPA)Other qualitative surveys (OTH)Individual files are named with identifiers that indicate: country, survey year, survey, and in some cases the name of a variable or indicator. A list of the two-letter country codes is included in a CSV file.Datasets are subdivided into the following folders:Survey boundaries: polygon shapefiles of administrative subdivision boundaries for countries used in specific surveys. Indicator data: polygon shapefiles and geodatabases of countries and subdivisions with 25 of the most common health indicators collected in the DHS. Estimates generated from survey data.Modeled surfaces: geospatial raster files that represent gridded population and health indicators generated from survey data, for several countries.Geospatial covariates: CSV files that link survey cluster locations to ancillary data (known as covariates) that contain data on topics including population, climate, and environmental factors.Population estimates: spreadsheets and polygon shapefiles for countries and subdivisions with 5-year age/sex group population estimates and projections for 2000-2020 from the US Census Bureau, for designated countries in the PEPFAR program.Workshop materials: a tutorial with sample data for learning how to map health data using DHS SDR datasets with QGIS. Documentation that is specific to each dataset is included in the subfolders, and a methodological summary for all of the datasets is included in the root folder as an HTML file. File-level metadata is available for most files. Countries for which data included in the repository include: Afghanistan, Albania, Angola, Armenia, Azerbaijan, Bangladesh, Benin, Bolivia, Botswana, Brazil, Burkina Faso, Burundi, Cape Verde, Cambodia, Cameroon, Central African Republic, Chad, Colombia, Comoros, Congo, Congo (Democratic Republic of the), Cote d'Ivoire, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Eswatini (Swaziland), Ethiopia, Gabon, Gambia, Ghana, Guatemala, Guinea, Guyana, Haiti, Honduras, India, Indonesia, Jordan, Kazakhstan, Kenya, Kyrgyzstan, Lesotho, Liberia, Madagascar, Malawi, Maldives, Mali, Mauritania, Mexico, Moldova, Morocco, Mozambique, Myanmar, Namibia, Nepal, Nicaragua, Niger, Nigeria, Pakistan, Papua New Guinea, Paraguay, Peru, Philippines, Russia, Rwanda, Samoa, Sao Tome and Principe, Senegal, Sierra Leone, South Africa, Sri Lanka, Sudan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe

The data provide a summary of the quantities of malaria commodities procured under the USAID/DELIVER PROJECT Task Order Malaria by country and by year. The data has two sheets on historical procurements per country and stockpiles for three countries (Democratic Republic of the Congo, Kenya, and South Sudan).

USAID/Uganda’s Strengthening Uganda’s Systems for Treating AIDS Nationally (SUSTAIN) activity supports Uganda’s Ministry of Health (MOH) to strengthen quality and comprehensive HIV/AIDS care, prevention, laboratory and tuberculosis (TB) services at selected regional referral and district health care facilities in Uganda, as well as build the capacity of the public health system to sustain these services. SUSTAIN is a six-year USAID-funded activity launched in 2010 and implemented by University Research Co., LLC (URC). SUSTAIN is one of many PEPFAR-funded activities to address the HIV/AIDS epidemic in Uganda. The main objective of the SUSTAIN program evaluation was to examine the activity’s methodology for achieving its objectives in order to inform future USAID design work. USAID noted that URC had performed well on SUSTAIN, as evidenced by its activity reports, but wanted an evaluation of the approach used by SUSTAIN to inform future program designs. SUSTAIN implementation adapted to contextual changes in the Government of Uganda's (GoU) HIV/AIDS strategy responding to a spike in new infections and people living with HIV, and major shifts in PEPFAR policy.