According to a ranking by Statista and Newsweek, the best hospital in the United States is the *********** in Rochester, Minnesota. Moreover, the *********** was also ranked as the best hospital in the world, among over 50,000 hospitals in 30 countries. **************** in Ohio and the ************* Hospital in Maryland were ranked as second and third best respectively in the U.S., while they were second and forth best respectively in the World.

Context

There are all sorts of reasons why you'd want to know a hospital's quality rating.

• Your mom is having her second hip replacement. Her first one went terribly and you're nervous about how she'll do. Which hospital would you suggest she have her surgery?
• You're selecting a health plan on your state's Exchange, but your top two choices partner with different hospitals. How will you decide which plan to pick?
• Your brother has Cystic Fibrosis and has to go to the ER frequently. He hates waiting. Which hospitals/states provide care in the timeliest manner?
• Your in-laws moved to Florida recently to retire, and have been trying to convince you to move there too. You're looking for any way possible to show them that your state is better. Does your state have better hospitals?

Every hospital in the United States of America that accepts publicly insured patients (Medicaid or MediCare) is required to submit quality data, quarterly, to the Centers for Medicare & Medicaid Services (CMS). There are very few hospitals that do not accept publicly insured patients, so this is quite a comprehensive list.

Content

This file contains general information about all hospitals that have been registered with Medicare, including their addresses, type of hospital, and ownership structure. It also contains information about the quality of each hospital, in the form of an overall rating (1-5, where 5 is the best possible rating & 1 is the worst), and whether the hospital scored above, same as, or below the national average for a variety of measures.

This data was updated by CMS on July 25, 2017. CMS' overall rating includes 60 of the 100 measures for which data is collected & reported on Hospital Compare website (https://www.medicare.gov/hospitalcompare/search.html). Each of the measures have different collection/reporting dates, so it is impossible to specify exactly which time period this dataset covers. For more information about the timeframes for each measure, see: https://www.medicare.gov/hospitalcompare/Data/Data-Updated.html# For more information about the data itself, APIs and a variety of formats, see: https://data.medicare.gov/Hospital-Compare

Acknowledgements

Attention: Works of the U.S. Government are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your materials, however, should not give the false impression of government endorsement of your commercial products or services. See 42 U.S.C. 1320b-10.

Inspiration

Which hospital types & hospital ownerships are most common?

Which hospital types & ownerships are associated with better than average ratings/mortality/readmission/etc?

What is the average hospital rating, by state?

Which hospital types & hospital ownerships are more likely to have not submitted proper data ("Not Available" & "Results are not available for this reporting period")?

Which parts of the country have the highest & lowest density of religious hospitals?

In 2025, the state with the highest share of hospitals with an "A" grade in safety was Utah, with ** percent, followed by Rhode Island and New Jersey at ** and ** percent, respectively. Meanwhile, the states of Iowa, North Dakota, Vermont, and Wyoming did not have any hospitals with a safety grade of A. This was based on the Spring 2025 Leapfrog hospital safety grade.

Context

Every year, all U.S. hospitals that accept payments from Medicare and Medicaid must submit quality data to The Centers for Medicare and Medicaid Services (CMS). CMS' Hospital Compare program is a consumer-oriented website that provides information on "the quality of care hospitals are providing to their patients." CMS releases this quality data publicly in order to encourage hospitals to improve their quality and to help consumer make better decisions about which providers they visit.

"Hospital Compare provides data on over 4,000 Medicare-certified hospitals, including acute care hospitals, critical access hospitals (CAHs), children’s hospitals, Veterans Health Administration (VHA) Medical Centers, and hospital outpatient departments"

The Centers for Medicare & Medicaid Services (CMS) uses a five-star quality rating system to measure the experiences Medicare beneficiaries have with their health plan and health care system — the Star Rating Program. Health plans are rated on a scale of 1 to 5 stars, with 5 being the highest.

Content

• Includes the most recent Hospital General Information.csv data for each archive year found on CMS' archive site. Years: 2016-2020

| Column Name | Data Type | Description | | --- | --- | -- | | Facility ID | Char(6) | Facility Medicare ID | | Facility Name | Char(72) | Name of the facility | | Address | Char(51) | Facility street address | | City | Char(20) | Facility City | | State | Char(2) | Facility State | | ZIP Code | Num(8) | Facility ZIP Code | | County Name | Char(25) | Facility County | | Phone Number | Char(14) | Facility Phone Number | | Hospital Type | Char(34) | What type of facility is it? | | Hospital Ownership | Char(43) | What type of ownership does the facility have? | | Emergency Services | Char(3)) | Does the facility have emergency services Yes/No? | | Meets criteria for promoting interoperability of EHRs | Char(1) | Does facility meet government EHR standard Yes/No? | | Hospital overall rating | Char(13) | Hospital Overall Star Rating 1=Worst; 5=Best. Aggregate measure of all other measures | | Hospital overall rating footnote | Num(8) | | | Mortality national comparison | Char(28) | Facility overall performance on mortality measures compared to other facilities | | Mortality national comparison footnote | Num(8) | | | Safety of care national comparison | Char(28) | Facility overall performance on safety measures compared to other facilities | | Safety of care national comparison footnote | Num(8) | | | Readmission national comparison | Char(28) | Facility overall performance on readmission measures compared to other facilities | | Readmission national comparison footnote | Num(8) | | | Patient experience national comparison | Char(28) | Facility overall performance on pat. exp. measures compared to other facilities | | Patient experience national comparison footnote | Char(8) | | | Effectiveness of care national comparison | Char(28) | Facility overall performance on effect. of care measures compared to other facilities | | Effectiveness of care national comparison footnote | Char(8) | | | Timeliness of care national comparison | Char(28) | Facility overall performance on timeliness of care measures compared to other facilities | | Timeliness of care national comparison footnote| Char(8) | | | Efficient use of medical imaging national comparison | Char(28) | Facility overall performance on efficient use measures compared to other facilities | | Efficient use of medical imaging national comparison footnote | Char(8) | | | Year | Char(4) | cms data release year |

Acknowledgements

A similar dataset called Hospital General Information was previously uploaded to Kaggle. However, that dataset only includes data from one year (2017). I was inspired by this dataset to go a little further and try to add a time dimension. This dataset includes a union of Hospital General Information for the years 2016-2020. The python script used to collect and union all the datasets can be found on my [github[(https://github.com/abrambeyer/cms_hospital_general_info_file_downloader). Thanks to this dataset owner for the inspiration.

Thanks to CMS for releasing this dataset publicly to help consumers find better hospitals and make better-informed decisions.

***All Hospital Compare websites are publically accessible. As works of the U.S. government, Hospital Compare data are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your ...

According to a ranking of the best hospitals in the U.S., the best hospital for adult cancer is the University of *******************************, which had a score of *** out of 100, as of 2025. This statistic shows the top 10 hospitals for adult cancer in the United States based on the score given by U.S. News and World Report's annual hospital ranking.

As of 2025, New York-Presbyterian hospital is the largest hospital in the United States with its eight campuses based in New York City. This was followed by AdventHealth Orlando in Florida stands as the second largest hospital in the United States, boasting an impressive 2,787 beds. Evolving landscape of U.S. hospitals Despite the decline in the total number of hospitals since 1980, the healthcare sector continues to grow in other ways. U.S. hospitals now employ about 7.5 million workers and generate a gross output of around 1,263 billion U.S. dollars. The Hospital Corporation of America, based in Nashville, Tennessee, leads the pack as the largest health system in the country, operating 222 hospitals as of February 2025. This reflects a trend towards consolidation and the rise of for-profit hospital chains, which gained prominence in the 1990s. Specialization and emergency care While bed count is one measure of hospital size, institutions also distinguish themselves through specialization and emergency care capabilities. For instance, the University of California at Los Angeles Medical Center performed 22,287 organ transplants between January 1988 and March 2025, making it the leading transplant center in the nation. In terms of emergency care, Parkland Health and Hospital System in Dallas recorded the highest number of emergency department visits in 2024, with 235,893 patients seeking urgent care.

About this dataset

Looking for a dataset on hospitals in the United States? Look no further! This dataset contains information on all of the hospitals registered with Medicare in the US, including their addresses, phone numbers, hospital type, and more. With such a large amount of data, this dataset is perfect for anyone interested in studying the US healthcare system.

This dataset can also be used to study hospital ownership, emergency services

How to use the dataset

If you want to study the US healthcare system, this dataset is perfect for you. It contains information on all of the hospitals registered with Medicare, including their addresses, phone numbers, hospital type, and more. With such a large amount of data, this dataset is perfect for anyone interested in studying the US healthcare system.

This dataset can also be used to study hospital ownership, emergency services, and EHR usage. In addition, the hospital overall rating and various comparisons are included for safety of care, readmission rates

Research Ideas

1. Predicting readmission rates for different hospital conditions
2. Analyzing relationships between hospital ownership and quality of care
3. Studying the relationship between hospital type and patient experience

Acknowledgements

This dataset was originally published by Centers for Medicare and Medicaid Services and has been modified for this project

Columns

File: Hospital_General_Information.csv | Column name | Description | |:-------------------------------------------------------|:----------------------------------------------------------------------------------------------------------| | Hospital Name | The name of the hospital. (String) | | Hospital Name | The name of the hospital. (String) | | Address | The address of the hospital. (String) | | Address | The address of the hospital. (String) | | City | The city in which the hospital is located. (String) | | City | The city in which the hospital is located. (String) | | State | The state in which the hospital is located. (String) | | State | The state in which the hospital is located. (String) | | ZIP Code | The ZIP code of the hospital. (Integer) | | ZIP Code | The ZIP code of the hospital. (Integer) | | County Name | The county in which the hospital is located. (String) | | County Name | The county in which the hospital is located. (String) | | Phone Number | The phone number of the hospital. (String) | | Phone Number | The phone number of the hospital. (String) | | Hospital Type | The type of hospital. (String) | | Hospital Type | The type of hospital. (String) | | Hospital Ownership | The ownership of the hospital. (String) | | Hospital Ownership | The ownership of the hospital. (String) | | Emergency Services | Whether or not the...

The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.

Context

This are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

Content

Dataset fields:

• Provider ID
• Hospital Name
• Address
• City
• State
• ZIP Code
• County Name
• Phone Number
• Hospital Type
• Hospital Ownership
• Emergency Services
• Meets criteria for meaningful use of EHRs
• Hospital overall rating
• Hospital overall rating footnote
• Mortality national comparison
• Mortality national comparison footnote
• Safety of care national comparison
• Safety of care national comparison footnote
• Readmission national comparison
• Readmission national comparison footnote
• Patient experience national comparison
• Patient experience national comparison footnote
• Effectiveness of care national comparison
• Effectiveness of care national comparison footnote
• Timeliness of care national comparison
• Timeliness of care national comparison footnote
• Efficient use of medical imaging national comparison
• Efficient use of medical imaging national comparison

Acknowledgements

Dataset was downloaded from [https://data.medicare.gov/data/hospital-compare]

Inspiration

If you just broke your leg, you might need to use this dataset to find the best Hospital to get that fixed!

Hospitals across the U.S. have been decreasing the number of hospitals beds available. With increasing concerns about the cost of health care, less traditional services and shorter stays have become the norm. The number of beds available in the U.S. greatly depends on the hospital size. As of 2019 there were a total of about *** thousand hospital beds available in hospitals with a *** bed capacity or greater.

U.S. Hospitals

Like the decrease in number of hospital beds, there has been a steady decline in the overall number of hospitals in the U.S. since 1975. Hospitals in the U.S. are becoming increasingly more technological with things like remote patient monitoring and AI. Despite being an important factor in patient health and wellbeing, patients don’t value the up-to-dateness of technology in hospitals as highly as they value other aspects.

Hospital rankings

Hospitals are ranked across the U.S. in a variety of ways. Jackson Memorial Hospital in Miami was ranked as the top hospital in 2017 according to the number of beds they had. However, Parkland Health and Hospital System in Dallas, Texas had the most annual emergency visits in 2018. And, finally, the UCLA Medical Center was ranked as the number one hospital based on the number of organ transplants performed in the last ** years.

Annual Excel pivot tables display the top 25 MS-DRGs (Medicare Severity-Diagnosis Related Groups) per hospital. The ranking can be sorted by the number of discharges, average charge per stay, or average length of stay.

Lowest and highest performing states across various categories of patient experience.

This dataset tracks annual overall school rank from 2010 to 2013 for Southeast Louisiana State Hospital

IntroductionPatient satisfaction in the UnitedStates (U.S.) healthcare varies regionally due to cultural, socioeconomic, and infrastructure differences. The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey measures patient satisfaction across several aspects, including staff responsiveness and hospital environment. This survey influences Medicare reimbursements and helps ensure equitable, high-quality care nationwide. Analyzing these results is crucial for enhancing patient-centered care and understanding regional disparities.MethodsThis study analyzed HCAHPS data from 3,286 U.S. hospitals from July 1, 2021, to June 30, 2022. Hospitals were stratified by region. The categories analyzed included cleanliness, communication, staff responsiveness, medication information, discharge processes, care transition, overall rating, quietness, and hospital recommendations. Kruskal Wallis tests and heat maps were used to compare and visualize regional differences.ResultsThe analysis revealed significant regional differences in hospital performance across the U.S. (p 

This dataset provides the fourth quarter summary roll-up of California hospitals’ financial and utilization data for discharges by payer source.

US HAI Infections by State

Investigating Prevalence and Prevention of Healthcare-Associated Infections

By Health [source]

About this dataset

This dataset provides a comprehensive overview of Healthcare-Associated Infections (HAIs) across all US states. Spanning multiple subspecialty areas such as central lines and urinary catheters infections, HAIs can be devastating to patient care and outcomes. The data within this set is collected by the Centers for Disease Control and Prevention (CDC) through the National Healthcare Safety Network (NHSN). It contains information on infection rates along with other important data such as measure names, scores, footnotes and measure start & end dates. This dataset presents us with an opportunity to better understand the prevalence of HAIs on a state level in order to improve patient safety measures that are used in hospitals nationwide

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How to use the dataset

This dataset provides valuable insights into healthcare-associated infections (HAIs) across the United States. By understanding which states have higher rates of HAIs, we can better understand the overall state of health care in the country.

To get started using this data set, take a look at some of the columns included: Measure Name, Score, Footnote and Measure Start and End Date. The measure name will give you an overview of what type of infection is being measured in each state. Each measurement has an associated score that tells you how well each state is doing with respect to other states when it comes to preventing these infections from occurring. The footnote gives more information about specific details surrounding that particular HAI measure for that state (for instance, if all or only some hospitals are included in the measure). Finally, the start and end dates tell you when the measure began and ended in regards to data collection for each state.

Once you have explored some of these columns, start looking deeper into what data points each column contains - such as which states have a high number of infections related to surgical procedures compared to others who don't? Thinking critically about this data will reveal trends amongst different states and how they compare when it comes to providing quality health care services within their facilities.

By exploring these trends further with visuals such as charts or graphs, you can better determine which areas need improvement so that we may develop preventative measures against further incidences occurring in hospitals across all US states

Research Ideas

• Creating a state-by-state map of healthcare-associated infection rates in order to identify which states have the highest and lowest rates of HAIs.
• Developing a predictive model to determine the likelihood of an infection in a particular hospital based on data from all the other hospitals in the same state, allowing hospitals to adjust their safety protocols accordingly.
• Constructing an infographic displaying different points picked up within this dataset such as what are common sources of infection, breakdowns by states and types, etc

Acknowledgements

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

License

License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - 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. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: Healthcare_Associated_Infections_-_State.csv | Column name | Description | |:-----------------------|:------------------------------------------------------------------------------------------------------------------------|...

National patient satisfaction linear scores for HCAHPS.

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.

This dataset lists the Structural Performance Category or “SPC rating” and Nonstructural Performance Category or “NPC rating” of all General Acute Care Hospitals in California, including a building’s probability of collapse in a significant earthquake as assessed by Multi-Hazard Loss Estimation Technology (HAZUS). To link the HCAI IDs with those from other Departments, like CDPH, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk.

Total-Stockholder-Equity Time Series for Select Medical Holdings. Select Medical Holdings Corporation, through its subsidiaries, operates critical illness recovery hospitals, rehabilitation hospitals, and outpatient rehabilitation clinics in the United States. It operates through three segments: Critical Illness Recovery Hospital, Rehabilitation Hospital, and Outpatient Rehabilitation. The Critical Illness Recovery Hospital segment consists of hospitals that provide services for heart failure, infectious disease, respiratory failure and pulmonary disease, surgery requiring prolonged recovery, renal disease, neurological events, and trauma. Its Rehabilitation Hospital segment offers therapy and rehabilitation treatments, including rehabilitative services for brain and spinal cord injuries, strokes, amputations, neurological disorders, orthopedic conditions, pediatric congenital or acquired disabilities, and cancer. The Outpatient Rehabilitation segment operates rehabilitation clinics that provide physical, occupational, and speech rehabilitation programs and services; and specialized programs, such as functional programs for work related injuries, hand therapy, pelvic health rehabilitation, post-concussion rehabilitation, pediatric and cancer rehabilitation, and athletic training services. Select Medical Holdings Corporation was founded in 1996 and is headquartered in Mechanicsburg, Pennsylvania.