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World Bank Development Indicators: Health Systems
Patient Health Records & Digital Health
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About
This dataset provides a detailed digest of global health systems and spending for 2016, drawn from the World Bank Development Indicators (specifically WDI 2.12 - Health Systems). It includes key metrics such as various health expenditures per capita by country, the numbers of doctors, nurses, midwives, and specialist surgical staff per capita. Additionally, it offers insights into the completeness of birth and death registration. This data is valuable for understanding international health infrastructure and expenditure patterns, offering a foundation for analysis on how health spending levels or staffing might influence public health outcomes, such as the spread of diseases.
Columns
- Country_Region: The region as it is used in Kaggle Covid-19 spread data challenges.
- Province_State: The region’s political subdivision name, as used in Kaggle Covid-19 spread data challenges.
- World_Bank_Name: The official name of the country as used by the World Bank.
- Health_exp_pct_GDP_2016: The level of current health expenditure expressed as a percentage of GDP for 2016. This includes healthcare goods and services consumed annually but excludes capital health expenditures like buildings or machinery.
- Health_exp_public_pct_2016: The share of current health expenditures funded from domestic public sources for health in 2016. This covers internal transfers, grants, subsidies, compulsory prepayments, and social health insurance contributions, but excludes external government health spending.
- Health_exp_out_of_pocket_pct_2016: The share of out-of-pocket payments as a percentage of total current health expenditures for 2016, representing direct household spending on health.
- Health_exp_per_capita_USD_2016: Current expenditures on health per capita in current US dollars for 2016. This includes healthcare goods and services consumed during each year.
- per_capita_exp_PPP_2016: Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP) for 2016.
- External_health_exp_pct_2016: The share of current health expenditures funded from external sources for 2016. This comprises direct foreign transfers and foreign transfers distributed by government into the national health system.
- Physicians_per_1000_2009-18: The number of generalist and specialist medical practitioners per 1,000 people, with data available from 2009 to 2018.
- Nurse_midwife_per_1000_2009-18: The number of professional, auxiliary, and enrolled nurses and midwives, along with other associated personnel, per 1,000 people, with data available from 2009 to 2018.
- Specialist_surgical_per_1000_2008-18: The number of specialist surgical, anaesthetic, and obstetric (SAO) providers working in each country per 100,000 population, with data available from 2008 to 2018.
- Completeness_of_birth_reg_2009-18: The percentage of children under age 5 whose births were registered at the time of the survey, with data from 2009 to 2018.
- Completeness_of_death_reg_2008-16: The estimated percentage of deaths registered with their cause-of-death information in the vital registration system of a country, with data from 2008 to 2016.
Distribution
The dataset is provided as a CSV file, specifically
2.12_Health_systems.csv, with a size of 15.14 kB. It contains 14 columns. The number of records varies per column, with up to 210 valid entries for country names and typically around 180-190 valid entries for the health expenditure and workforce statistics, reflecting varying data availability across countries.Usage
This dataset is ideal for:
- Analysing the relationship between health spending levels (public or private) or the availability of hospital staff and health outcomes, or even the rate at which infectious diseases might spread in a country.
- Developing predictive models to forecast the growth rate of health-related cases or fatalities.
- Conducting comparative studies of global health systems and their effectiveness.
- Informing policy decisions related to health budget allocation and healthcare workforce planning.
Coverage
- Geographic Scope: Global, encompassing various countries and regions. It is important to note that there may be discrepancies in country/region naming conventions between this World Bank dataset and other external datasets, such as Covid-19 data.
- Time Range:
- Health expenditure data is primarily for 2016.
- Data for physicians, nurses, and midwives is from 2009-2018.
- Specialist surgical workforce data covers 2008-2018.
- Completeness of birth registration is for 2009-2018.
- Completeness of death registration is for 2008-2016.
- Demographic Scope: The dataset provides country-level aggregates and statistics, rather than individual demographic data.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Researchers and Academics: For studying global health economics, public health, and development.
- Data Scientists and Analysts: For building models, performing statistical analysis, and identifying trends in health expenditure and workforce.
- Policy Makers and Public Health Organisations: For evidence-based decision-making regarding national and international health strategies.
- Students: For educational projects and dissertations focused on global health indicators.
Dataset Name Suggestions
- World Bank Global Health Indicators 2016
- International Health Spending & Workforce Data
- Country Health Systems Analytics 2016
- World Bank Development Indicators: Health Systems
- Global Healthcare Statistics by Country
Attributes
Original Data Source: World Bank Development Indicators: Health Systems
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