Healthcare Financing and Expenditure

**Overview**
This data package contains estimates on Development Assistance for Health (DAH) and trends in international disbursements of grants and loans for health projects in low and middle-income countries from key agencies disaggregated by the funding agency, country and geographic region, and health focus area.

**Description**
This data package contains data on Development Assistance for Health (DAH) and international disbursements of grants and loans for health projects in low and middle-income countries from key agencies; Development Assistance for Health (DAH) allocable by country and/or region; Development Assistance for Health (DAH) provided to faith-based organizations (FBOs), as divided among FBO and non-FBO funding; estimates of total health spending and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health; and domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients. The data are disaggregated by the funding agency, country, and geographic region, and health focus area including health current, constant and per capita disbursements in US dollars for specific focus areas including the health sector, HIV/AIDS, tuberculosis, noncommunicable diseases, maternal and child health, and health sector program support.

**Benefits**
- This data is useful researchers seeking to have a comprehensive analysis of trends in development assistance for health and international disbursements of grants and loans from key agencies by a funding agency, country/geographic region, and health focus area. this can be used for by officials and program managers for potential interventions, setting priority areas for action and evaluating progress
- policymakers for policy use and development
- development agencies aid in allocating resources and budget for development.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Development Assistance for Health 1995 to 2014](https://www.johnsnowlabs.com/marketplace/development-assistance-for-health-1995-to-2014)
- This dataset provides estimates of total health spending and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health.
- [Development Assistance for Health Database 1990 to 2016](https://www.johnsnowlabs.com/marketplace/development-assistance-for-health-database-1990-to-2016)
- This dataset provides estimates for 1990-2016 Development Assistance for Health (DAH) which are based on project databases, financial statements, annual reports, Internal Revenue Service (IRS) 990s, and correspondence with agencies.
- [Development Assistance for Health Faith-Based Organizations 1990-2013](https://www.johnsnowlabs.com/marketplace/development-assistance-for-health-faith-based-organizations-1990-2013)
- This dataset provides the development assistance for health (DAH) provided to faith-based organizations (FBOs), as divided among FBO and non-FBO funding.
- [Development Assistance for Health Recipient Level 1990 to 2010](https://www.johnsnowlabs.com/marketplace/development-assistance-for-health-recipient-level-1990-to-2010)
- This database only contains Development Assistance for Health (DAH) allocable by country and/or region and does not contain DAH that could not be traced to a specific region or country.
- [Global Expected Health Spending 2016 to 2040](https://www.johnsnowlabs.com/marketplace/global-expected-health-spending-2016-to-2040)
- This dataset provides projected health spending estimates for 2016 to 2040 for 188 countries. The estimates cover total health spending, and health spending disaggregated by the source into government spending, out-of-pocket, prepaid private, and development assistance for health. GDP and all-sector government spending were extracted for 1980–2015 and used with retrospective health spending estimates for 1995-2015 to forecast GDP, all-sector government spending, and health spending through 2040.
- [Global HIV AIDS Spending 2000 to 2015](https://www.johnsnowlabs.com/marketplace/global-hiv-aids-spending-2000-to-2015)
- This dataset provides estimates for Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome (HIV/AIDS) spending for 188 countries for 2000 to 2015. Data is taken from the Institute for Health Metrics and Evaluation (IHME) and the Global Health Data Exchange.
- [Global Public Health Financing 1995 to 2006](https://www.johnsnowlabs.com/marketplace/global-public-health-financing-1995-to-2006)
- This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
- [Global Retrospective Health Spending 1995 to 2014](https://www.johnsnowlabs.com/marketplace/global-retrospective-health-spending-1995-to-2014)
- This dataset provides retrospective national health spending estimates for 184 countries from 1995-2014. Data is taken from the Institute for Health Metrics and Evaluation (IHME) and the Global Health Data Exchange.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).