(See Note below regarding 2015 data). The dataset contains hospitalization counts and rates, statewide and by county, for 4 medical procedures for which there could be possible over- or under-use and for which utilization varies across hospitals or geographic areas. High or low rates, by themselves, do not represent poor quality of care. Instead, the information is intended to inform consumers about local practice patterns or identify potential problem areas that might need further study. The procedures, based upon the Agency for Healthcare Research and Quality’s (AHRQ’s) Inpatient Quality Indicators (IQIs), include: coronary artery bypass graft (CABG) (age 40+), percutaneous coronary intervention (PCI) (age 40+), hysterectomy (age 18+), and laminectomy or spinal fusion (age 18+). Note: HCAI is only releasing the first 3 quarters of 2015 data due to a change in the reporting of diagnoses/procedures from ICD-9-CM to ICD-10-CM/PCS effective October 1, 2015, and the inability of the AHRQ software to handle both code sets concurrently.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Hospital and Related Services in U.S. City Average (CUSR0000SEMD) from Jan 1978 to Sep 2025 about hospitals, urban, consumer, CPI, services, inflation, price index, indexes, price, and USA.

This statistic shows the improvement in mortality rates 2007-2009 amongst all hospitals in the United States, sorted by mortality rates for inhospital care as well as ** and *** days following hospitalization. In addition to presenting information on improvement in the United States overall, this graph includes further data on hospitals of differing quality ratings. In the United States overall, mortality rates improved by *** percent, but in five-star hospitals, mortality rates improved by **** percent.

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

...

The dataset contains risk-adjusted mortality rates, quality ratings, and number of deaths and cases for 6 medical conditions treated (Acute Stroke, Acute Myocardial Infarction, Heart Failure, Gastrointestinal Hemorrhage, Hip Fracture and Pneumonia) and 3 procedures performed (Carotid Endarterectomy, Pancreatic Resection, and Percutaneous Coronary Intervention) in California hospitals. The 2023 IMIs were generated using AHRQ Version 2024, while previous years' IMIs were generated with older versions of AHRQ software (2022 IMIs by Version 2023, 2021 IMIs by Version 2022, 2020 IMIs by Version 2021, 2019 IMIs by Version 2020, 2016-2018 IMIs by Version 2019, 2014 and 2015 IMIs by Version 5.0, and 2012 and 2013 IMIs by Version 4.5). The differences in the statistical method employed and inclusion and exclusion criteria using different versions can lead to different results. Users should not compare trends of mortality rates over time. However, many hospitals showed consistent performance over years; “better” performing hospitals may perform better and “worse” performing hospitals may perform worse consistently across years. This dataset does not include conditions treated or procedures performed in outpatient settings. Please refer to statewide table for California overall rates: https://data.chhs.ca.gov/dataset/california-hospital-inpatient-mortality-rates-and-quality-ratings/resource/af88090e-b6f5-4f65-a7ea-d613e6569d96

Graph and download economic data for Producer Price Index by Commodity: Health Care Services: Hospital Inpatient Care (WPU512101) from Dec 2008 to Sep 2025 about hospitals, healthcare, health, services, commodities, PPI, inflation, price index, indexes, price, and USA.

This section provides information about Acute Hospital Payments and Rates, and Hospital Remittance Advices and Claims Denials.

The graph displays the average hospital stay cost per inpatient day in the United States by hospital type from 1999 to 2022. The x-axis represents the years, ranging from 1999 to 2022, while the y-axis indicates the cost in dollars per inpatient day. The data is categorized into three types of hospitals: State/Local Government Hospitals, Non-Profit Hospitals, and For-Profit Hospitals.

In 1999, State/Local Government Hospitals had an average cost of $1,004.02 per inpatient day, which increased to $2,856.58 by 2022. Non-Profit Hospitals started with the highest costs at $1,139.49 in 1999 and rose to $3,166.58 in 2022, maintaining the highest costs among the three categories throughout the period. For-Profit Hospitals had the lowest starting cost at $999.03 in 1999 and reached $2,383.42 by 2022.

The data reveals that all hospital types experienced a consistent upward trend in costs over the 23-year period. Non-Profit Hospitals consistently had the highest costs, followed by State/Local Government Hospitals, and then For-Profit Hospitals. This upward trajectory highlights the increasing healthcare expenses in the United States across all types of hospitals.

Graph and download economic data for Real State and Local Government Consumption Expenditures: Sales to Other Sectors: Health and Hospital Charges (B1066L1Q225SBEA) from Q2 1947 to Q2 2025 about hospitals, state & local, health, sector, consumption expenditures, consumption, sales, government, real, GDP, rate, and USA.

In 2023, there were around *** hospital admissions per 1,000 population in the state of West Virginia. In comparison, Alaska had just ** hospital admissions per 1,000 population in the same year. Hospital admission rates in the United States have been decreasing in the last decades before dropping at the start of the pandemic.

The Institutional Cost Report (ICR) is a uniform report completed by New York hospitals to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations, (Part 86-1.2), Article 28 hospitals are required to file financial and statistical data with DOH annually. The data filed is part of the ICR and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends. This dataset includes the print image of the edited data. The ICR is a comprehensive compilation of exhibits that have been modified over time that users should consider when using the ICR dataset. It is possible that data is updated subsequent to posting on this website; therefore the data could become obsolete. To get the details related to the exhibits and data elements, please refer to the blank ICR form, the ICR Table of Contents, the ICR Instructions and the Glossary of Terms, Acronyms, and Abbreviations which are in the Supporting Information section of this site. The data posted as edited contains desk edit adjustments by DOH personnel. In 2009, this information was not audited; however effective with the 2010 ICR, all ICRs will be audited by a Certified Public Accounting Firm annually.

This data package contains the Information including the U.S. national trends in the number of inpatient stays, Healthcare Resource Group (HRG) unit costs for acute hospital procedures, Medicare Inpatient Prospective Payment System (IPPS) for discharges costs, Ambulatory Payment Classification (APC) Groups, Short-Stay Hospitals discharges information for Aged Beneficiaries, All Beneficiaries, Information on Office visit per Medicare beneficiaries and hospitalization counts and rates.

The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals.

For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.

Below is the list of tables:

MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend
MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status
MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence
MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital
MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend
MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment
MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence
MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care
MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control
MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital

From the Web site: The American Hospital Directory® provides data, statistics, and analytics about more than 7,000 hospitals nationwide. AHD.com® hospital information includes both public and private sources such as Medicare claims data, hospital cost reports, and commercial licensors. AHD® is not affiliated with the American Hospital Association (AHA) and is not a source for AHA Data. Our data are evidence-based and derived from the most definitive sources.

This version of the Institutional Cost Report (ICR) has been audited by a Certified Public Accounting Firm. The ICR is a uniform report completed by New York State hospitals to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations, (Part 86-1.2), Article 28 hospitals are required to file financial and statistical data with DOH annually. The data filed is part of the ICR and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends. For more information, check out: http://www.health.ny.gov/facilities/hospital/index.htm

The dataset contains hospital inpatient discharge rates, charges, covered payments, charge-to-payment ratios for the 100 most common DRGs among hospitals in the Medicare Prospective Payment System.

Since 2005, the Diagnosis Related Groups (DRG) statistics have provided annual information on morbidity events and morbidity trends in inpatient care, as well as on the volume and structure of demand for services, over and above the existing official hospital statistics. In particular, type of illness, case-flat-rate hospital statistic (DRGs), operations and procedures as well as length of stay and department are collected.

The aggregated data are freely accessible.

The U.S., followed by Switzerland, had the highest average cost per day to stay in a hospital as of 2015. At that time the hospital costs per day in the U.S. were on average 5,220 U.S. dollars. In comparison, the hospital costs per day in Spain stood at an average of 424 U.S. dollars. Even Switzerland, also a very expensive country, had significantly lower costs than the United States.

Number of U.S. hospitals

The number of U.S. hospitals has decreased in recent years with some increase in 2017. There are several types of hospitals in the U.S. with different ownerships. In general there are more hospitals with a non-profit ownership in the U.S. than there are hospitals with state/local government or for-profit ownership.

U.S. hospital costs

Health care expenditures in the U.S. are among the highest in the world. By the end of 2019, hospital care expenditures alone across the U.S. are expected to exceed 1.2 trillion U.S. dollars. Among the most expensive medical conditions treated in U.S. hospitals are septicemia, osteoarthritis and live births. There are different ways to pay for hospital costs in the United States. Among all payers of U.S. hospital costs, Medicare and private payers are paying the largest proportion of all costs.

The Healthcare Cost Report Information System (HCRIS) contains annual reports submitted by Medicare-certified institutional providers to Medicare Administrative Contractors (MAC). It provides information to CMS that assists with the annual settlement summary between CMS and the institutional provider. The cost report information includes facility level: utilization statistics, costs, charges, medicare payments, and financial information.

From the Centers for Medicare & Medicaid Services: Hospital price transparency helps Americans know the cost of a hospital item or service before receiving it. Starting January 1, 2021, each hospital operating in the United States will be required to provide clear, accessible pricing information online about the items and services they provide ... This information will make it easier for consumers to shop and compare prices across hospitals and estimate the cost of care before going to the hospital.

Although most hospitals comply with the letter of the law, it's still hard to compare costs across providers or even see the difference between charges to insurers vs cash payers. Alex Stein from DoltHub organized an effort to assemble over 300M rows from over 1800 hospitals. This dataset is the result.