Per capita national health expenditures in the United States have increased significantly since 1960. In 2023, national health expenditures amounted to **** thousand U.S. dollars per capita. For comparison, in 1960, per capital expenditures for health stood at *** U.S. dollars. According to recent data, the U.S. has some of the highest health care costs in the world. Health care expenditures With increased per capita health expenditures, U.S. health care expenditures as a percentage of the gross domestic product (GDP) have also increased over the decades. Among developed countries, the U.S. has the highest health expenditure as a proportion of the GDP. The high level of health costs in the U.S. may be attributable to high costs for prescribed drugs and health services as well as high administrative costs. Cost areas A large proportion of all health care spending in the U.S. is attributable to hospital care and physician and clinical services. In recent years, many sectors have seen an increase in health care spending. However, data suggests that prescription drugs have seen some of the most dramatic increases in spending in recent years. The annual prescription drug expenditures in the U.S. reached an all-time high by the end of 2022.

Global Health Spending

Country Global Health Spending Over Time

By Eva Murray [source]

About this dataset

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How to use the dataset

To get started with this data, begin by exploring the location and time columns as these will provide a breakdown of which countries are represented in the dataset as well as when each observation was collected. To drill down further into the analysis, use indicators, subjects and measures fields for comparison between healthcare spending for different topics like drug access or acute care across countries over time. The values field contains actual values related to healthcare spending while flag codes tell you if there are any discrepancies in data quality so it is important look into those too if necessary.

This dataset is useful for research relatedto how global health expenditures have varied across different countries over time and difference sources of funding among a few other applications. Understanding what's included in this dataset will help you determine how best to use it when doing comparative country-level analyses or international studies on healthcare funding sources over time

Research Ideas

• Identify countries with high public health spending as a percentage of GDP and determine if their population has better health outcomes than those with lower spending.
• Compare public health investments across various countries during the same period to ascertain areas that need more attention, such as medical research, vaccinations, medication and healthcare staffing.
• Determine the trends in health expenditures over time for key indicators such as life expectancy to gain insights into how well a country is managing its healthcare sector

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: DP_LIVE_18102020154144776.csv | Column name | Description | |:---------------|:-----------------------------------------| | LOCATION | Country or region of the data. (String) | | INDICATOR | Health spending indicator. (String) | | SUBJECT | Health spending subject. (String) | | MEASURE | Measurement of health spending. (String) | | FREQUENCY | Frequency of data collection. (String) | | TIME | Year of data collection. (Integer) | | Value | Value of health spending. (Float) | | Flag Codes | Codes related to data quality. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Eva Murray.

In 2023, U.S. national health expenditure as a share of its gross domestic product (GDP) reached 17.6 percent, this was an increase on the previous year. The United States has the highest health spending based on GDP share among developed countries. Both public and private health spending in the U.S. is much higher than other developed countries. Why the U.S. pays so much moreWhile private health spending in Canada stays at around three percent and in Germany under two percent of the gross domestic product, it is nearly nine percent in the United States. Another reason for high costs can be found in physicians’ salaries, which are much higher in the U.S. than in other wealthy countries. A general practitioner in the U.S. earns nearly twice as much as the average physician in other high-income countries. Additionally, medicine spending per capita is also significantly higher in the United States. Finally, inflated health care administration costs are another of the predominant factors which make health care spending in the U.S. out of proportion. It is important to state that Americans do not pay more because they have a higher health care utilization, but mainly because of higher prices. Expected developmentsBy 2031, it is expected that health care spending in the U.S. will reach nearly one fifth of the nation’s gross domestic product. Or in dollar-terms, health care expenditures will accumulate to about seven trillion U.S. dollars in total.

Graph and download economic data for Health Expenditures per Capita (HLTHSCPCHCSA) from 2000 to 2021 about healthcare, health, expenditures, per capita, and USA.

Health expenditure in the U.S. has been a hotly debated topic among political parties, especially on the verge of presidential elections. Health expenditures in the U.S. have been increasing over time and are projected to keep increasing. As of 2023, the U.S. spent a total of *** trillion U.S. dollars on healthcare. U.S. health expenditure in comparison The U.S has some of the highest expenditures for health care in the world. With a total health spending of roughly ** percent of the country’s GDP, the U.S. has far surpassed the country with the second highest health expenditure as a share of GDP, Germany. The United States, despite having a mixed method of healthcare financing and insurances, also has one of the highest shares of domestic governmental health expenditures. U.S. health care payers There are several different governmental and non-governmental agencies that are responsible for health care funding and payments in the United States. Currently, private insurance and Medicare are the two largest payers of U.S. health care. Direct health care costs are not the only things that these payers are responsible for. They may also be partly responsible for prescription drug costs. Again, private insurance and Medicare are the two largest payers of prescription drug costs in the U.S. Among all the payers of health care costs in the U.S., Medicare has experienced the highest level of health spending increases in recent years.

Technical notes and documentation

The Compendium of Healthcare Costs in Spain (CONCEPT-COSTS Database) is a database of Spanish healthcare unit costs estimated from different national sources.

Version 3.0 of the CONCEPT-COSTS Database contains costs estimates (expresed in EUR 2024) for a core set of service items commonly used in the chronic health problems evaluated in CONCEPT Project.

It is a living document planned to be regularly updated and expanded in terms of the covered service over time.

Aims of CONCEPT-COSTS project:

CONCEPT-COSTS is part of the coordinated CONCEPT Project, which comprises four subprojects whose objective is to analyse the effectiveness and efficiency of care pathways (CP) in three chronic health problems of high prevalence and socioeconomic impact, which are diabetes mellitus type 2, breast cancer and ischemic stroke. As a common denominator, CONCEPT shares the innovative perspective of focusing its analysis on CP as a key determinant of healthcare adequacy, adherence to treatment, health outcomes and economic consequences. CONCEPT-COSTS' first objective is to complement the results produced by each CONCEPT clinical cohort, with a broad proposal of economic analyses based on real-world data (RWD), including incurred costs, avoidable costs and efficiency evaluation of identified CP. These results will be used to inform the clinical and management decisions about those CP to be promoted or avoided. As a second objective, CONCEPT-COSTS will identify the ethodological and logistical challenges faced by economic evaluations based on RWD, to develop a framework that will include recommendations for improvements related to feasibility, validity and transferability of results.

Files included in this publication:

• CONCEPT_COSTS_Database_v3.csv
• CONCEPT_COSTS_Database_v3.html
• Readme_v3.doc

What's new

• Costs updated to 2024
• Some sources updated

The HCUP Summary Trend Tables include monthly information on hospital utilization derived from the HCUP State Inpatient Databases (SID) and HCUP State Emergency Department Databases (SEDD). Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD. The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics: Overview of monthly trends in inpatient and emergency department utilization All inpatient encounter types Inpatient stays by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Inpatient encounter type -Normal newborns -Deliveries -Non-elective inpatient stays, admitted through the ED -Non-elective inpatient stays, not admitted through the ED -Elective inpatient stays Inpatient service line -Maternal and neonatal conditions -Mental health and substance use disorders -Injuries -Surgeries -Other medical conditions Emergency department treat-and-release visits Emergency department treat-and-release visits by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Description of the data source, methodology, and clinical criteria

Healthcare spending in the United Kingdom stood at 317 billion British pounds in 2024. When looking at real healthcare expenditure*, spending already exceeded this amount in 2021, where it reached 324 billion British pounds in 2024 prices. Health expenditure in the UK compared to Europe In 2024, the UK spent almost 11 percent of its GDP on healthcare. In comparison to other European countries, this ranked the UK fifth in terms of health expenditure. At the top of the list was Switzerland, which spent 12 percent of its GDP on healthcare that year.  Performance of the NHS in the UK Waiting times have been getting worse in the A&E department over the years. The NHS has been falling behind the target that 95 percent of patients should be seen within four hours of arrival. As a result, the primary reasons for dissatisfaction with the NHS among the public are the length of time required to get a GP or hospital appointment and the lack of staff.

United Healthcare Transparency in Coverage Dataset

Unlock the power of healthcare pricing transparency with our comprehensive United Healthcare Transparency in Coverage dataset. This invaluable resource provides unparalleled insights into healthcare costs, enabling data-driven decision-making for insurers, employers, researchers, and policymakers.

Key Features:

• Extensive Coverage: Access detailed pricing information for a wide range of medical procedures and services across the United States, covering approximately 76,000 employers.
• Granular Data: Analyze costs at the provider, plan, and employer levels, allowing for in-depth comparisons and trend analysis.
• Massive Scale: Over 400TB of data generated monthly, providing a wealth of information for comprehensive analysis.
• Historical Perspective: Track pricing changes over time to identify patterns and forecast future trends.
• Regular Updates: Stay current with the latest pricing information, ensuring your analyses are always based on the most recent data.

Detailed Data Points:

For each of the 76,000 employers, the dataset includes: 1. In-network negotiated rates for covered items and services 2. Historical out-of-network allowed amounts and billed charges 3. Cost-sharing information for specific items and services 4. Pricing data for medical procedures and services across providers, plans, and employers

Use Cases

For Insurers: - Benchmark your rates against competitors - Optimize network design and provider contracting - Develop more competitive and cost-effective insurance products

For Employers: - Make informed decisions about health plan offerings - Negotiate better rates with insurers and providers - Implement cost-saving strategies for employee healthcare

For Researchers: - Conduct in-depth studies on healthcare pricing variations - Analyze the impact of policy changes on healthcare costs - Investigate regional differences in healthcare pricing

For Policymakers: - Develop evidence-based healthcare policies - Monitor the effectiveness of price transparency initiatives - Identify areas for potential cost-saving interventions

Data Delivery

Our flexible data delivery options ensure you receive the information you need in the most convenient format:

• Custom Extracts: We can provide targeted datasets focusing on specific regions, procedures, or time periods.
• Regular Reports: Receive scheduled updates tailored to your specific requirements.

Why Choose Our Dataset?

1. Expertise: Our team has extensive experience in healthcare data retrieval and analysis, ensuring high-quality, reliable data.
2. Customization: We can tailor the dataset to meet your specific needs, whether you're interested in particular companies, regions, or procedures.
3. Scalability: Our infrastructure is designed to handle the massive scale of this dataset (400TB+ monthly), allowing us to provide comprehensive coverage without compromise.
4. Support: Our dedicated team is available to assist with data interpretation and technical support.

Harness the power of healthcare pricing transparency to drive your business forward. Contact us today to discuss how our United Healthcare Transparency in Coverage dataset can meet your specific needs and unlock valuable insights for your organization.

The United States has the highest expenditure on health care per capita globally. However, the U.S. has an unique way of paying for their health care where a majority of the expenditure falls upon private insurances. In FY 2024, around one ***** of all health expenditure is paid by private insurance. Public insurance programs Medicare and Medicaid accounted for ** and ** percent, respectively, of health expenditure during that same year. U.S. health care system Globally health spending has been increasing among most countries. However, the U.S. has the highest public and private per capita health expenditure among all countries globally, followed by Switzerland. As of 2020, annual health care costs per capita in the United States totaled to over ** thousand U.S. dollars, a significant amount considering the average U.S. personal income is around ** thousand dollars. Out of pocket costs in the U.S. Aside from overall high health care costs for U.S. residents, the total out-of-pocket costs for health care have been on the rise. In recent years, the average per capita out-of-pocket health care payments have exceeded *** thousand dollars. Physician services, dental services and prescription drugs account for the largest proportion of out-of-pocket expenditures for U.S. residents.

Graph and download economic data for Expenditures: Healthcare by Age: Age 65 or over (CXUHEALTHLB0407M) from 1988 to 2023 about 65-years +, healthcare, age, health, expenditures, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Medical Care in U.S. City Average (CPIMEDSL) from Jan 1947 to Sep 2025 about medical, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Objective Although value-based healthcare (VBHC) views accurate cost information to be crucial in the pursuit of value, little is known about how the costs of care should be measured. The aim of this review is to identify how costs are currently measured in VBHC, and which cost measurement methods can facilitate VBHC or value-based decision making.

Design Two reviewers systematically search the PubMed/MEDLINE, Embase, EBSCOhost and Web of Science databases for publications up to 1 January 2022 and follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify relevant studies for further analysis.

Eligibility criteria Studies should measure the costs of an intervention, treatment or care path and label the study as ‘value based’. An inductive qualitative approach was used to identify studies that adopted management accounting techniques to identify if or how cost information facilitated VBHC by aiding decision-making. Results We identified 1930 studies, of which 215 measured costs in a VBHC setting. Half of these studies measured hospital costs (110, 51.2%) and the rest relied on reimbursement amounts. Sophisticated costing methods that allocate both direct and indirect costs to care paths were seen as able to provide valuable managerial information by facilitating care path adjustments (39), benchmarking (38), the identification of cost drivers (47) and the measurement of total costs or cost savings (26). We found three best practices that were key to success in cost measurement: process mapping (33), expert input (17) and observations (24).

Conclusions Cost information can facilitate VBHC. Time-driven activity-based costing (TDABC) is viewed as the best method although its ability to inform decision-making depends on how it is implemented. While costing short, or partial, care paths and surgical episodes produces accurate cost information, it provides only limited decision-making information. Practitioners are advised to focus on costing full care cycles and to consider both direct and indirect costs through TDABC.

In 1970, some 7.5 billion U.S. dollars were spent on the Medicare program in the United States. Fifty plus years later, this figure stood at 1,122.1 billion U.S. dollars. This statistic depicts total Medicare spending from 1970 to 2024. Increasing Medicare coverage Medicare is the federal health insurance program in the U.S. for the elderly and those with disabilities. In the U.S., the share of the population with any type of health insurance has increased to over 90 percent in the past decade. As of 2019, approximately 18 percent of the U.S. population was covered by Medicare in particular. Increasing Medicare costs Medicare costs are forecasted to continue increasing over time, with outlays rising to a predicted 1.78 trillion U.S. dollars by 2031 as the population continues to age. Certain diseases of old age, such as Alzheimer’s disease, are increasing in prevalence in the U.S., which will reflect on healthcare costs for the elderly. In 2021, Alzheimer's disease was estimated to cost Medicare and Medicaid around 239 billion U.S. dollars in care costs; by 2050, this number is projected to climb to 798 billion dollars.

This statistic displays the annual public healthcare spending in the United Kingdom from 2000 to 2023. The total public healthcare spending increased over the period concerned to approximately ***** British pounds per capita in 2022, the highest in the provided time interval, before slightly falling to ***** British pounds in 2023.

Dataset Overview

This dataset presents a focused snapshot of Primary Health Care (PHC) Expenditure per Capita across 114 countries. The data spans from 2016 to 2022, though not all years are represented for each country. It reflects the financial commitment of nations to primary health care, providing a basis for comparative analysis of health spending priorities and trends over time.

Data Science Applications

Despite its modest size, this dataset is ripe for exploratory data analysis, trend analysis, and cross-country comparisons. It can be used to model health expenditure growth, forecast future spending, and identify outliers. Data scientists can also merge it with other datasets to study correlations between PHC expenditure and health outcomes or economic indicators.

Column Descriptors

• Countries: The nation to which the data pertains.
• Indicators: Specifies the type of data, here it's PHC Expenditure per Capita.
• 2016 - 2022: Yearly expenditure data in US dollars. Note that not all countries have data for each year.

Ethically Collected Data

The data was sourced from the WHO's publicly available Global Health Expenditure Database, ensuring ethical collection and sharing practices. It adheres to international standards for health data transparency and accessibility.

Acknowledgements

I extend my gratitude to the United Nations and its specialized agencies for compiling and maintaining the health expenditure data and to Dall E3 for enhancing my dataset presentation with relevant imagery.

This dataset is a list of healthcare expenditure categorized by state of residence in 2009 . All health spending is displayed in millions of dollars. Total health spending includes all privately and publicly funded hospital care, physician services, nursing home care, and prescription drugs etc. by state of residence. This spending includes hospital spending and is the total net revenue that is calculated as gross charges less contractual adjustments, bad debts, and charity care.

Summary Trend TablesThe HCUP Summary Trend Tables include information on hospital utilization derived from the HCUP State Inpatient Databases (SID), State Emergency Department Databases (SEDD), National Inpatient Sample (NIS), and Nationwide Emergency Department Sample (NEDS). State statistics are displayed by discharge month and national and regional statistics are displayed by discharge quarter. Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD.The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics:Overview of trends in inpatient and emergency department utilizationAll inpatient encounter typesInpatient encounter typeNormal newbornsDeliveriesNon-elective inpatient stays, admitted through the EDNon-elective inpatient stays, not admitted through the EDElective inpatient staysInpatient service lineMaternal and neonatal conditionsMental health and substance use disordersInjuriesSurgeriesOther medical conditionsED treat-and-release visitsDescription of the data source, methodology, and clinical criteria (Excel file, 43 KB)Change log (Excel file, 65 KB)For each type of inpatient stay, there is an Excel file for the number of discharges, the percent of discharges, the average length of stay, the in-hospital mortality rate per 100 discharges,1 and the population-based rate per 100,000 population.2 Each Excel file contains State-specific, region-specific, and national statistics. For most files, trends begin in January 2017. Also included in each Excel file is a description of the HCUP databases and methodology.

In the United States, average employee premium contributions and deductibles as a percentage of median household income have risen in the past decade. In 2020, an employee’s total potential out-of-pocket medical costs (premium and deductible) amounted to 11.6 percent of median income. This included 6.9 percent in employee premium contributions and 4.7 percent in deductibles. However, states varied greatly in median income spent on premiums and deductibles, with workers in Mississippi having to spend on average 19 percent of their income on potential out-of-pocket medical costs.

Employer sponsored health insurance In 2020, over half of the U.S. population has some type of employment-based health insurance coverage. The Affordable Care Act penalizes large employers (with 50 or more full-time employees), if they do not provide health insurance to their employees. Nevertheless, of the uninsured aged under 65 years, the large majority worked either full or part-time (or someone in their household did).

Out-of-pocket medical costs Despite having insurance coverage, most plans have a deductible, the amount an insured must pay themselves that year before their insurance starts covering for them. The average annual deductible for single coverage amounted to roughly 1,700 U.S. dollars in 2021. Even after reaching their deductible, most insured have other forms of out-of-pocket health costs in the form of co-payments and co-insurance for health services or prescription drugs.

Children's Hospitals Pricing Data

Hospital pricing information for Children's Hospitals and Clinics of Minnesota

By Amber Thomas [source]

About this dataset

This dataset provides machine-readable hospital pricing information from Children's Hospitals and Clinics of Minnesota. It includes three files: 2022-top-25-hospital-based-clinics-list.csv, which contains the top 25 primary care procedure prices for hospital-based clinics at Children's Hospitals; 2022-standard-list-of-charges-hospital-op.csv, which comprises the standard charges for outpatient procedures in 2022, including procedure codes, fees, and insurance coverage; and 2022-msdrg.csv, containing machine-readable hospital pricing information specifically related to the 2022 Medicare Severity Diagnosis Related Groups (MS-DRG) codes. These datasets were obtained directly from Children's Hospitals' website as part of their compliance with the Centers for Medicare and Medicaid Services IPPS Final Rule. The data was collected programmatically using a custom script written in Node.js and Microsoft Playwright, then mirrored on the data.world platform. If you come across any errors or discrepancies in this data, please report them in the Discussion tab or contact supportdata.world

How to use the dataset

• Understanding the Files:

  • The dataset consists of three files: 2022-top-25-hospital-based-clinics-list.csv, 2022-standard-list-of-charges-hospital-op.csv, and 2022-msdrg.csv.
  • 2022-top-25-hospital-based-clinics-list.csv contains the top 25 primary care procedure prices for hospital-based clinics at Children's Hospitals and Clinics of Minnesota.
  • 2022-standard-list-of-charges-hospital-op.csv includes the standard list of charges for outpatient procedures at Children's Hospitals and Clinics of Minnesota, including procedure codes, fees, and insurance coverage.
  • The file 2022-msdrg.csv provides machine-readable hospital pricing information specifically related to the Medicare Severity Diagnosis Related Groups (MS-DRG) codes.

• Accessing the Data:

  • The data can be accessed from their source on the Children's Hospitals and Clinics of Minnesota website.

• Data Collection Method:

  • All data in this dataset was collected programmatically using a custom script written in Node.js and utilizing Microsoft Playwright, an open-source library for browser automation.

• How to Handle Errors or Suggestions:

  • If you have found any errors or have suggestions regarding this dataset, you can leave a note on the Discussion tab of this dataset on Kaggle or reach out via email to supportdata.world.

• Dataset Use Cases:

  a) Research & Analysis: Analyze primary care procedure prices at Children's Hospitals and Clinics of Minnesota based on different procedure codes present in the top-25 list from 2022 hospital-based clinics file (2022-top-25-hospital-based-clinics-list.csv).

  b) Cost Comparison: Compare fees and charges for outpatient procedures at Children's Hospitals and Clinics of Minnesota with other healthcare providers using the 2022 standard list of charges file (2022-standard-list-of-charges-hospital-op.csv).

  c) Insurance Coverage Analysis: Investigate insurance coverage details for outpatient procedures at Children's Hospitals and Clinics of Minnesota by referring to the insurance coverage column in the 2022 standard list of charges file (2022-standard-list-of-charges-hospital-op.csv).

  d) Medicare Severity Diagnosis Related Groups (MS-DRG): Explore machine-readable hospital pricing information specifically

Research Ideas

• Price comparison: This dataset can be used to compare the prices of different primary care procedures and outpatient procedures at Children's Hospitals and Clinics of Minnesota. This information can help patients make informed decisions about their healthcare options based on affordability.
• Insurance coverage analysis: The dataset includes information about insurance coverage for each procedure, which can be analyzed to understand which procedures are covered by different insurance providers. This analysis can help patients determine if their insurance will cover a specific procedure or if they will need to pay out-of-pocket.
• Trend analysis: By comparing the pricing information from previous years' datasets, this dataset can be used to analyze trends in healthcare costs over time at Children's Hospitals and Clinics of Minnesota. This analysis can provide insights into how healthcare costs are changing and help identify areas where cost improvements may be needed

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