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.

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.

The public and private per capita health expenditure differs significantly by country. As of 2024, the United States had by far the highest public per capita spending worldwide. Moreover, the U.S. had the second-highest private expenditure on health globally, just after Switzerland. Health expenditures globally Health expenditures include the consumption of health goods, services and public health programs as well as insurance and government spending. Globally, health expenditures are on the rise. Among all countries, the average per capita health expenditure is projected to see an increase of over 30 percent from the 2019 totals by the year 2050. Despite the growing expenditures, there are still countries with relatively low health expenditures. The countries with the lowest governmental health expenditure include South Sudan, Eritrea and Bangladesh. Health expenditures spotlight: the U.S. In 2023 the U.S. national health expenditure was at an all-time high. However, the projections indicate that total health expenditures will increase even more. The per capita health expenditures for the U.S. looked equally grim, with 2023 being the most expensive year for health care on record.

The average for 2021 based on 186 countries was 1368.8 U.S. dollars. The highest value was in the USA: 11999.09 U.S. dollars and the lowest value was in Somalia: 14.63 U.S. dollars. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

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.

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

Dataset Overview

This dataset contains information about individuals' demographic, lifestyle, and healthcare costs, likely used for analyzing Medicare or insurance-related expenses. It consists of 1,338 entries and 7 columns.

Columns Description

1. age (int):

   • Age of the individual.
   • Range: 18 to 64 years
   • Mean: 39.2 years

2. sex (object):

   • Gender of the individual.
   • Values: 'male', 'female'

3. bmi (float):

   • Body Mass Index, a measure of body fat based on height and weight.
   • Range: 15.96 to 53.13
   • Mean: 30.66

4. children (int):

   • Number of children/dependents covered by health insurance.
   • Range: 0 to 5
   • Mean: 1.09

5. smoker (object):

   • Smoking status of the individual.
   • Values: 'yes', 'no'

6. region (object):

   • Residential region in the U.S.
   • Values: 'southeast', 'southwest', 'northeast', 'northwest'
   • Most common: 'southeast'

7. charges (float):

   • Individual medical costs billed by health insurance (in USD).
   • Range: $1,121.87 to $63,770.43
   • Mean: $13,270.42
   • Standard Deviation: $12,110.01

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

This dataset contains medical insurance cost information for 1338 individuals. It includes demographic and health-related variables such as age, sex, BMI, number of children, smoking status, and residential region in the US. The target variable is charges, which represents the medical insurance cost billed to the individual.

The dataset is commonly used for:

Regression modeling

Health economics research

Insurance pricing analysis

Machine learning education and tutorials

Columns

age: Age of primary beneficiary (int)

sex: Gender of beneficiary (male, female)

bmi: Body Mass Index, a measure of body fat based on height and weight (float)

children: Number of children covered by health insurance (int)

smoker: Smoking status of the beneficiary (yes, no)

region: Residential region in the US (northeast, northwest, southeast, southwest)

charges: Medical insurance cost billed to the beneficiary (float)

Potential Uses

Build predictive models for medical costs Explore how smoking and BMI impact charges Teach students about regression and feature engineering Analyze healthcare affordability trends

The retirement healthcare cost index compares the estimated cost of healthcare at retirement against expected social security benefits (before taxes) throughout retirement. The retirement healthcare cost index for a healthy 65-year-old- couple retiring in 2023 in the U.S. is estimated to be **** percent in the first year. In the next ten years, it is projected to rise to ** percent, and by the end of their lives, it is most likely to offset their social security payments.

The dataset contains a summary of government spending on healthcare, presented as a share of a country's GDP in selected years. Data are presented for the years 1880–2020, in 10-year intervals (i.e. in 1880, 1890, 1900, …, 2010, 2020). The aim of the summary was to present changes in the approach of governments of selected countries in Europe (including Poland), the USA, China andIndia over the 140 years studied.

The database contains information on government health allocations and spending for the years 2017-2022. It also contains data on total government allocations and spending, subnational spending (health and total), obligatory social health insurance contributions, and on-budget special funds (emergency/disaster funds, COVID-19 funds, and contingency funds) over the same period.

Graph and download economic data for Unit Labor Costs for Health Care and Social Assistance: Medical and Diagnostic Laboratories (NAICS 6215) in the United States (IPURN6215U100000000) from 1994 to 2024 about diagnostic labs, healthcare, unit labor cost, medical, social assistance, health, NAICS, IP, and USA.

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.

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.

This data includes the top 25 list for costliest prescribed drugs, most frequently prescribed drugs and the prescribed drugs with the highest monthly median out-of-pocket cost for members. Each of these top 25 lists are broken out by payer type (i.e., All Payers, All Payers W/O Medi-Cal, Commercial, Medicare or Medi-Cal) and drug category (i.e., All, Brand, Generic, Biosimilar or Biologic). The includes National Drug Code (NDC), Year, Top 25 Ranking, National Drug Code, Drug Name, number of prescriptions, number of individuals, total costs, average cost per unit, average dispensed units per fill, drug unit of measure, monthly median out-of-pocket cost, 25th percentile for monthly out-of-pocket cost, 75th percentile for monthly out-of-pocket cost, and percent of monthly out-of-pocket cost with zero dollar amounts for each NDC in each top 25 list.

Total dollar value and number of projects either in review, pending construction, in construction, or in closure aggregated into California counties, once every two weeks since September 2013. A construction project moves through the Department of Health Care Access and Information (HCAI) in four stages - In Review; Pending Construction Start; Under Construction; and In Closure. A project can only be in one of these four stages at any time. Additional data when available will be added to this dataset approximately once every two weeks.

Health and medical insurance companies experienced significant fluctuations in performance in recent years. The onset of COVID-19 led to a substantial increase in healthcare spending in 2020 and 2021, as demand for medical services surged. Consequently, investment in health insurance witnessed a dramatic rise, contributing to robust revenue growth during these years. However, with inflation peaking in 2022, consumer purchasing power diminished, causing households to reduce their spending on health insurance. This factor, coupled with a slowdown in health expenditure growth as the immediate pandemic effects waned, resulted in meager revenue growth for insurers in 2022, a notable deceleration compared to prior years. The industry performed better in 2023 as low inflation enabled consumers to more easily afford health insurance, with revenue then rising significantly in 2024 due to soaring investment income. More broadly, providers have been influenced by slowing healthcare inflation, despite a historically rapid rise in prior decades. For example, from 1970 to 2010, health expenditures skyrocketed, buoyed by substantial innovations. However, recent years have seen this growth plateau. This is attributed to a shift toward less costly innovation, focusing more on pharmaceutical advancements rather than costly healthcare system overhauls. Consequently, providers have faced slower revenue growth. Consolidation has risen as the industry’s largest players have used economies of scale, acquisitions and advertising to take over more of the market. Regardless, internal competition has soared as more providers have entered the industry to capture new revenue streams due to rising short-term health spending and the aging of the US population, constraining profit. Overall, revenue for health and medical insurance companies has swelled at a CAGR of 3.8% over the past five years, reaching $1.5 trillion in 2025. This includes a 2.5% rise in revenue in that year. The industry's landscape is set for further evolution over the next five years. Anticipated steady economic growth, with GDP projected to rise and unemployment to remain low, is likely to bolster health insurance revenue streams, primarily through heightened spending on employer-sponsored and private health plans. However, the potential for economic disruptions, such as the implementation of tariffs, could affect providers’ stability. As the population ages and healthcare demand grows, insurers will seek to tailor their policies to address the needs of an older demographic, necessitating comprehensive services. Overall, revenue for health and medical insurance providers is forecast to expand at a CAGR of 2.7% over the next five years, reaching $1.8 trillion in 2030.

In 2023, single coverage health insurance for employees cost more than ***** U.S. dollars for the year. this figure has increase every year since 2000, with the average annual cost of health insurance for singles being ***** in 2000.