London was the city in the United Kingdom with the highest costs for constructing a general hospital in 2024. Meanwhile, among cities included in this selection, Leeds was the cheapest one to build that kind of structure. The expenses of such a construction in London were over *** British pounds higher than in Glasgow. The capital of the UK is the most expensive area for public building construction. Hospital bed numbers still in decline The number of hospital beds in the UK has been declining since 2000. Between 2000 and 2020, figures decreased from ******* to ******* number of beds. The reduction in hospital beds is, among other reasons, attributed to technical improvements in surgery rooms, patients with mental health problems being treated in different settings, and most importantly, cuts to NHS funding. However, the number of beds increased slightly again in 2021 and 2022. Increased healthcare spend Despite past funding cuts and declining availability of hospital beds, healthcare spending has significantly increased in the past twenty years. In 2022, expenditure reached a peak of nearly *** billion British pounds, whereas in 2000, this figure amounted to ** billion British pounds. The value of healthcare expenditure as a share of GDP also increased significantly in the past years.

In the second quarter of 2025, Portland and San Francisco were some of the most expensive cities in the United States for the construction of general hospitals. The cost of building a hospital in Portland ranged between ***** and ***** U.S. dollars. Boston and Los Angeles were the next cities in the ranking. Meanwhile, Las Vegas was one of the cheapest city in the list to build a general hospital.

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

In 2023, on average the expenses incurred by a non-profit hospital for one inpatient day amounted to 3,288 U.S. dollars, compared to 2,529 U.S. dollars of expenses for for-profit hospitals. State or local government hospitals have costs somewhere in-between.

After several turbulent years, hospital construction activity is bouncing back, with contractors experiencing a much-needed rebound after the disruption brought on by the pandemic. The industry hit a low point between 2020 and 2023, when project activity stalled because of strict capital budgets, labor and material shortages and uncertainty about hospital demand. Contractors who saw a dwindling backlog during this time have enjoyed a resurgence in bidding and a ramping up of both new construction and remodeling jobs, spurred in part by rising hospital occupancy and the lure of federal tax incentives for energy-efficient upgrades. Climbing occupancy at hospitals has also boosted remodeling work, benefiting contractors. Overall, industry revenue has been increasing at a CAGR of 2.1% to total an estimated $34.6 billion in 2025, including an estimated 3.4% increase in 2025. Hospital construction contractors had to navigate persistent cost pressures and tough competition, all while handling shifts in hospital funding. Profitability took a hit as material prices and wages soared through 2022, with heightened material costs and labor shortages complicating job pricing and scheduling. Contractors were forced to accept slimmer profit just to keep projects moving when private hospitals delayed or downsized capital investments and nonprofit community hospitals struggled under tighter Medicaid reimbursements and operational losses. Only as pandemic-era constraints eased did capital flows begin to strengthen, allowing contractors to rebuild lost ground and pass on more costs to end customers from 2023 to 2025. Still, tariffs have led to climbing construction material costs, putting additional pressure on profit. Looking ahead, the outlook is a mix of opportunity and risk. Federal policy changes, including the One Big Beautiful Bill Act and the expiration of 179D tax credits, will shake up funding streams, pushing rural hospitals in particular to reshape their construction plans as they work through shrinking Medicaid reimbursements and temporary relief programs. On the other hand, rising occupancy rates and looming seismic retrofit mandates in states like California are expected to drive a wave of new projects, especially modernization and expansion work. Industry revenue is forecast to increase at a CAGR of 3.5% to total an estimated $41.1 billion through the end of 2030.

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.

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.

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.

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

According to the study, the construction of one square meter of general hospitals in Paris cost around ***** euros in 2018. Similarly, the cost construction of one square meter of regional hospitals was estimated to ***** euros.

This line chart compares the median cost vs. median charge for cesarean deliveries with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..

Graph and download economic data for Producer Price Index by Industry: New Health Care Building Construction (PCU236224236224) from Jun 2012 to Sep 2025 about healthcare, health, buildings, construction, new, PPI, industry, inflation, price index, indexes, price, and USA.

The Hospital Provider Cost Report dataset provides select measures from the hospital annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

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 Healthcare Provider Cost Report Information System (HCRIS) contains annual reports submitted by Medicare-certified institutional providers to Medicare Administrative Contractors (MAC). This dataset contains all numeric data reported on a cost report such as costs, charges, ratios, number of beds, etc.

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.

This line chart compares the median cost vs. median charge for other pneumonia with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

Source

GitHub

Hospital Price transparency

The Centers for Medicare and Medicaid Services recently required hospitals under 45 CFR §180.50 to publish a list of prices on their websites. They specifically instruct hospitals to make these lists... - As a comprehensive machine-readable file with all items and services.
- In a display of shoppable services in a consumer-friendly format.

There is a lot of variation in adherence to these policies. Without strong guidance on formatting from CMS, it is no wonder hospitals are all over the map on formatting. Many hospitals have complied with the new rules but in ways that are not consumer friendly. 500 Megabytes of JSON data is not a strong start!

This repository cuts out pricing noise purposefully introduced by these hospital systems. You can easily search for a given CPT or HCPCS code and compare those prices across hospitals.

Supplied Data

If you don't have the proclivity to transform these data yourself with docker, there are CSV extracts available in ./volumes/data/extracts. They are broken down into four distinct groups.

• gross: this is often the top line item that the hospital never actually charges
• cash: this is the self-pay discounted price you would pay without insurance
• max: this is the maximum negotiated rate by an insurance company in the hospital network.
• min: this is the minimum negotiated rate by an insurance company in the hospital network

Ontology

We rely on the excellent work of the Athena vocabulary to define the ontology of healthcare procedures. This maps CPT and HCPCS codes into a common data model.

Coverage

Only North Carolina is covered right now because I happen to live there. Submit a PR if you have found data for other hospital systems.

Usage

Quickstart with docker-compose docker-compose up

Run the flyway migrations docker-compose run flyway

Run the ETL docker-compose run etl

Interactive PSQL client docker exec -it postgres psql -d postgres -U builder

What this is not

I sacrificed some scalabilty for the name of speed. There are some excellent examples how you could scrape your way through this to complete automation. I introduced a s manual step of downloading a file and naming it by the hospital ID. All other transformations are codified and reproducible in the container.

Contact

Submit an issue if you find anything inconsistent. Like all data products, we make assumptions and provide no warrantee.

📝 Dataset Overview: This dataset provides a comprehensive view into patient care and hospital operations at Eko Hospital, Lagos. It captures both clinical and financial details — including patient demographics, diagnoses, treatment procedures, and billing data.

It is a powerful tool for health data analysts, students, and researchers to explore real-world healthcare delivery in a Nigerian context.

🔍 Dataset Features: Column Name Description Patient_ID Unique patient identifier (anonymized) Name Patient's name (consider anonymizing further before public use) Age Age of the patient Gender Gender identity Department Medical department visited (e.g., Pediatrics, Cardiology) Doctor Name of the attending physician Diagnosis Medical condition diagnosed Admission_Date Date of hospital admission Discharge_Date Date the patient was discharged Bill_Amount (₦) Total cost incurred (in Nigerian Naira) Lab_Tests_Conducted Number or type of lab tests carried out Medications_Administered Types or count of drugs administered Nurses_Assigned Number of nurses responsible during care Surgery_Cost (₦) Cost of any surgical procedures performed

🎯 Ideal Use Cases: Create interactive Power BI dashboards for patient flow or billing breakdowns

Analyze treatment cost per diagnosis

Predict length of stay or discharge patterns using machine learning

Monitor resource allocation (nurses, doctors)

Understand clinical performance across departments

🧰 Tools to Use: Python (Pandas, Scikit-learn, Seaborn)

Power BI / Tableau for dashboarding

R (Shiny, ggplot2)

Excel pivot tables and charts

📌 Important Notes: Please ensure patient names are anonymized before full public sharing.

Excellent for portfolio projects, capstone work, or public health exploration.

👤 Created By: Fatolu Peter (Emperor Analytics) Healthcare analytics specialist working on real Nigerian datasets to bridge the gap between clinical care and data intelligence. This marks Project 10 in my growing analytics journey 🚀

✅ LinkedIn Post: 🩺 New Healthcare Dataset Alert 📊 Eko Hospital Patient Care Analytics – Now Live on Kaggle 🔗 Check it out here

Looking to sharpen your healthcare analytics or build a project with real-world medical data?

This dataset features:

Admissions & discharges

Diagnosis, medications, surgeries

Billing info (₦), lab tests, and staffing

You can use it to: ✅ Build Power BI dashboards ✅ Train ML models to predict outcomes or costs ✅ Analyze treatment patterns by age, gender, or department

Let’s use data to improve healthcare outcomes. If you build anything with it, tag me — I’d love to share and learn from you.

KaggleDataset #HealthcareAnalytics #PowerBI #PublicHealth #NigerianData #DataScience #FatoluPeter #EmperorAnalytics #Project10 #RealWorldData #PatientCare #HospitalAnalytics

Graph and download economic data for Gross government fixed investment: Structures: State and local: New: Buildings: Hospital (chain-type price index) (B848RG3A086NBEA) from 1929 to 1997 about hospitals, state & local, chained, fixed, buildings, investment, gross, new, government, GDP, price index, indexes, price, and USA.