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.

In 2020, the total personal healthcare cost per person for women and men aged 85 years and above in the U.S., amounted to ****** U.S. dollars and ****** U.S. dollars respectively. This statistic depicts the total personal healthcare spending per person in the U.S. in 2020, by gender and age.

In 2020, hospital care services accounted for ** percent of the total personal healthcare spending on women aged between 19 and 44 in the United States. While, for women aged 85 years and above, spending on nursing care facilities and continuing care retirement communities accounted for ** percent of total personal healthcare costs.

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.

In 2020, the average out-of-pocket (OOP) per person spending on healthcare services by women aged 85 years and above in the U.S. amounted to ***** U.S. dollars. The per-person healthcare expenditure increased exponentially for the women in the oldest age group. In the same year, the total per-person expenditure on personal healthcare by women was also the highest in the same age group, it amounted to ****** U.S. dollars per individual.

In 2022, U.S. out-of-pocket health care payments was reported to come to an average of ******* U.S. dollars per capita. In the U.S., especially out-of-pocket payments for prescribed drugs can be very high. This statistic depicts the per capita out-of-pocket health care payments in the United States from 1970 to 2022.

Graph and download economic data for Expenditures: Health Insurance by Age: from Age 35 to 44 (CXUHLTHINSRLB0404M) from 1984 to 2023 about age, health, insurance, expenditures, and USA.

In the fiscal year 2022, medical care expenses under the health insurance system in Japan amounted to approximately **** million Japanese yen on average per person aged between 95 and 99 years. The second-highest costs were seen in 90 to 94 years, with around **** million Japanese yen.

Analysis of ‘Healthcare cost’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ravichaubey1506/healthcare-cost on 30 September 2021.

--- Dataset description provided by original source is as follows ---

A nationwide survey of hospital costs conducted by the US Agency for Healthcare consists of hospital records of inpatient samples. The given data is restricted to the city of Wisconsin and relates to patients in the age group 0-17 years. The agency wants to analyze the data to research on the healthcare costs and their utilization.

The goals of this project are:

To record the patient statistics, the agency wants to find the age category of people who frequent the hospital and has the maximum expenditure.

In order of severity of the diagnosis and treatments and to find out the expensive treatments, the agency wants to find the diagnosis related group that has maximum hospitalization and expenditure.

To make sure that there is no malpractice, the agency needs to analyze if the race of the patient is related to the hospitalization costs.

To properly utilize the costs, the agency has to analyze the severity of the hospital costs by age and gender for proper allocation of resources.

Since the length of stay is the crucial factor for inpatients, the agency wants to find if the length of stay can be predicted from age, gender, and race.

To perform a complete analysis, the agency wants to find the variable that mainly affects the hospital costs.

--- Original source retains full ownership of the source dataset ---

Among OECD member countries, the United States had the highest percentage of gross domestic product spent on health care as of 2023. The U.S. spent nearly ** percent of its GDP on health care services. Germany, France and Japan 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 ** 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 almost twice 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 compare to other wealthy countries.

This scatter chart displays health expenditure per capita (current US$) against median age (year) in the Americas. The data is about regions.

CES: 25 to 34Yrs: AAE: Healthcare: Health Insurance data was reported at 1,989.000 USD in 2016. This records a decrease from the previous number of 1,999.000 USD for 2015. CES: 25 to 34Yrs: AAE: Healthcare: Health Insurance data is updated yearly, averaging 640.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 1,999.000 USD in 2015 and a record low of 230.000 USD in 1986. CES: 25 to 34Yrs: AAE: Healthcare: Health Insurance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

Graph and download economic data for Expenditures: Medical Services by Age: Under Age 25 (CXUMEDSERVSLB0402M) from 1984 to 2023 about medical, age, expenditures, services, and USA.

Health Insurance Marketplaces

Rates, Benefits, Coverage and Networks

By Data Society [source]

About this dataset

Do you want to explore the complexities of Health Insurance Marketplace and uncover insights into plan rates, benefits, and networks? Look no further! With this dataset from the Centers for Medicare & Medicaid Services (CMS), you can investigate trends in plan rates, access coverage across states and zip codes, compare metal level plans (across years), as well as analyze benefit information all in one place.

We’ve provided six CSV files containing combined data from across all years: BenefitsCostSharing.csv provides details on benefits, BusinessRules.csv provides details about premium payment requirements for a plan or set of plans, Network.csv offers details about health plans’ networks of providers who offer services at different cost levels to members enrolled in a given plan or set of plans; PlanAttributes.csv gives attributes like age off dates for various plans; Rate.csv delivers information on rate changes; ServiceArea.csv reveals demographic characteristics related to each service area associated with a specific issuer and two CSV files that join data across years (Crosswalk2015 & Crosswalk2016).

So come on board and use your creativity to unlock the mysteries behind changes in benefits in relation to costs while exploring network providers within different regions!!!

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How to use the dataset

This dataset contains information about the health insurance plans offered in the US Health Insurance Marketplace. It includes data on plan benefits, cost-sharing, networks, rates and service areas for different states. The data can be used to compare and analyze plan characteristics across different states and ages which will help guide users decision making when purchasing a health insurance plan.

To begin using the dataset, you should start by looking at the columns available. These include State, Dental Plan, Multistate Plan (2015 & 2016), Metal Level (2015 & 2016), Child/Adult Only (2015 & 2016), FIPS Code, Zip Code Crosswalk Level, Reason for Crosswalk, Multistate Plan Ageoff (2016 & 2015) and MetalLevel Ageoff (2016 & 2015). These columns provide important information on each plan that can be used to compare them across states or between years.

Using this data you can explore several interesting questions such as: How do benefit levels vary among states? Are there any differences in network providers between states? What factors influence plan rates?

In order to answer these questions you should join together relevant tables from across years using Crosswalk 2015/2016 CSV files then organize your data accordingly so that it is easier to visualize differences in features between plans sold across different states or years. Once the information is organized it might be helpful to use visualizations such as line graphs or bar charts to view comparison between feature values of two plans versus one another more clearly in order differentiate variations of plans among Consumers.

By doing this you can gain a better understanding of how certain factors may affect rate changes over time or how certain benefit levels might differ by state which will allow Consumers make an informed choice when selecting their next health insurance plan

Research Ideas

• Analyzing the effectiveness of different plan benefits and how they affect premiums to determine a fair price point for different types of healthcare plans.
• Examining the variation in rates, benefits and coverage by state or zip code to identify potential trends or disparities in access to quality health care services across regions.
• Developing an algorithm that can predict premium prices based on certain factors such as age groups, type of plan (metal levels), multistate coverage, etc., to help consumers more easily understand the true cost of their health insurance plans before committing to purchase them

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 -...

This scatter chart displays health expenditure (% of GDP) against median age (year) in New Zealand. The data is filtered where the date is 2021. The data is about countries per year.

In 2019, healthcare spending expectedly rose with age. Total health expenditure for Italians aged over 60 years amounted to *** thousand euros per person. The largest part of this money came from the public sector, with the Italian National Health Service spending almost *** thousand euros on each elderly person. The remaining *** thousand euros came from individual private health spending, through out-of-pocket expenditure or supplementary health insurance schemes. This statistic presents the per capita healthcare spending in Italy in 2019, by public/private expenditure and age (in euros).

This statistic shows an average person's yearly expenses for health care and prescription medication in the United States, by age. In 2007, a person between 18 and 44 years of age had average expenses of ***** U.S. dollars on health care and prescription medication.

The Puerto Rican Elderly: Health Conditions (PREHCO) study investigates issues affecting the elderly (individuals over 60 years of age) population in Puerto Rico: health status, housing arrangements, functional status, transfers, labor history, migration, income, childhood characteristics, health insurance, use of health services, marital history, mistreat, sexuality, etc. It is an island-wide, longitudinal sample survey of target individuals and their spouses with two waves of data collection: 2002-2003 and 2006-2007.

This scatter chart displays health expenditure (% of GDP) against median age (year) in Central America. The data is about countries.