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.

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.

Graph and download economic data for Expenditures: Healthcare by Age: from Age 25 to 34 (CXUHEALTHLB0403M) from 1984 to 2023 about healthcare, age, 25 years +, health, expenditures, and USA.

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

This data package contains the information of Medicare and Medicaid healthcare spending and healthcare cost and percentages by state.

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

Limit state-purchased health care cost growth to 2% less than the projected national health expenditures average every year through 2019.

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.

In the U.S. many employers pay a portion of health care costs for employees. As of 2019, the total annual medical costs for employees was just over 13 thousand U.S. dollars. That cost is expected to increase to 13.7 thousand U.S. dollars by 2020. There have been recent changes to employer-offered health care through the Affordable Care Act that requires employers with over 50 employees to offer affordable health care options to their employees.

U.S. health benefits at work

In the United States, both employers and employees may pay health care costs, depending on the work. In a recent survey U.S. residents were asked what benefits they expected from their employers, a vast majority of them said that they expect health care benefits. Despite the demand from employer-sponsored healthcare coverage, not all companies feel that they would be able to offer health coverage as an employment benefit. Another recent survey has illustrated that employer confidence in offering health insurance can change dramatically from year-to-year.

U.S. sick leave benefits

Another aspect of workplace health and wellness, is annual sick leave. In general, a majority of U.S. workers have access to a fixed number of paid sick days per year. However, a very small proportion of employees had access to paid sick leave as needed. As of 2017, around half of all employees utilized up to 5 days of sick leave per year. Despite that, there was still a large proportion, especially among those aged 18-30 years that went to work even though they were ill.

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.

Among OECD member countries, the United States had the ******* percentage of gross domestic product spent on health care as of 2024. The U.S. spent nearly **** percent of its GDP on health care services. Germany, Austria, and Germany followed the U.S. with distinctly smaller percentages. The United States had both significantly higher private and public spending on health compared with other developed countries. Why compare OECD countries? OECD stands for Organization for Economic Co-operation and Development. It is an economic organization consisting of 38 members, mostly high-income countries and committed to democratic principles and market economy. This makes OECD statistics more comparable than statistics of developed and undeveloped countries. Health economics is an important matter for the OECD, even more since increasing health costs and an aging population have become an issue for many developed countries. Health costs in the U.S. A higher GDP share spent on health care does not automatically lead to a better functioning health system. In the case of the U.S., high spending is mainly because of higher costs and prices, not due to higher utilization. For example, physicians’ salaries are much higher in the U.S. than in other comparable countries. A doctor in the U.S. earns more than ***** as much as the average physician in Germany. Pharmaceutical spending per capita is also distinctly higher in the United States. Furthermore, the U.S. also spends more on health administrative costs compared to other wealthy countries.

Healthcare expenditure statistics, produced to the international definitions of the System of Health Accounts 2011.

Subcategories may not sum to aggregates due to rounding.

United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data was reported at 0.781 % in 2013. This records a decrease from the previous number of 0.856 % for 2012. United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data is updated yearly, averaging 0.880 % from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 1.078 % in 2000 and a record low of 0.724 % in 2008. United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Poverty. Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure, expressed as a percentage of a total population of a country; ; Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.; Weighted Average;

China Consumption Expenditure per Capita: Health Care and Medical Services data was reported at 2,547.000 RMB in 2024. This records an increase from the previous number of 2,460.000 RMB for 2023. China Consumption Expenditure per Capita: Health Care and Medical Services data is updated yearly, averaging 743.700 RMB from Dec 1998 (Median) to 2024, with 27 observations. The data reached an all-time high of 2,547.000 RMB in 2024 and a record low of 173.200 RMB in 2000. China Consumption Expenditure per Capita: Health Care and Medical Services data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Expenditure per Capita.

Jordan JO: Current Health Expenditure: % of GDP data was reported at 6.284 % in 2015. This records a decrease from the previous number of 7.414 % for 2014. Jordan JO: Current Health Expenditure: % of GDP data is updated yearly, averaging 8.547 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 9.884 % in 2001 and a record low of 6.284 % in 2015. Jordan JO: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

This dataset contains data for the Healthcare Payments Data (HPD): Medical Out-of-Pocket Costs and Chronic Conditions report. The data covers three measurement categories: annual member count, annual median out-of-pocket count, annual median claim count. The annual member count quantify the number of unique individuals who received at least one medical service in the reporting year. Annual median out-of-pocket measurements quantifies the sum of copay, coinsurance, and deductible incurred by members. Annual median claim count measurements quantifies the number of distinct claims or encounters associated with members. Both 25th and 75th percentiles for out-of-pocket cost and claim count are also included. Measures are grouped by payer types, chronic conditions flag, chronic condition types, and chronic condition numbers.

View monthly updates and historical trends for US Health Care Inflation Rate. from United States. Source: Bureau of Labor Statistics. Track economic data …

Household out-of-pocket payment’ means a direct payment for healthcare goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the services. Data are collected according to Commission Regulation (EC) 2015/359 as regards statistics on healthcare expenditure and financing (System of Health Accounts 2011 manual).

In 2000, home health care expenditure amounted to some 32 billion U.S. dollars. By 2023, this figure had increased to 148 billion U.S. dollars. This statistic shows the home health care expenditure in the United States from 1960 to 2022.

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.