Data catalog

Hospital cost reports (HCRIS) by facility

Centers for Medicare & Medicaid Services

Publisher site
facilities
entity

In a RepVector build, this dataset maps the physical sites that deliver service inside a territory.

Sample of the actual data
34 rows captured for Mississippi on 2026-09-08. Showing the first 8.
HospitalCityCountyOwnershipRural/urbanFiscal year end
UNIVERSITY OF MISSISSIPPI MEDICALJACKSONHINDS10R2024-06-30
ST. DOMINIC-JACKSON MEMORIAL HOSPJACKSONHINDS1U2023-12-31
FORREST GENERAL HOSPITALHATTIESBURGFORREST9U2023-09-30
MS BAPTIST MEDICAL CENTERJACKSONHINDS1R2023-09-30
SINGING RIVER HEALTH SYSTEMPASCAGOULAJACKSON9R2023-09-30
MEMORIAL HOSPITAL AT GULFPORTGULFPORTHARRISON8R2023-09-30
CENTRAL MISSISSIPPI MEDICAL CENTERJACKSONHINDS4U2023-09-30
DELTA HEALTH-NORTHWEST REGIONALCLARKSDALECOAHOMA9R2023-09-30

What this dataset is

Audited Medicare cost report filings for every hospital: bed count, discharges, patient days, staffing FTEs, total costs, inpatient and outpatient charges, charity care, bad debt and uncompensated care, plus ownership type and rural/urban status. The standard public read on hospital size, cost structure and financial pressure. It is published by Centers for Medicare & Medicaid Services and can be queried at state and county level, refreshed annual. Each row is an individual entity — an organisation, site or practitioner — so results can be filtered, routed and turned directly into a call list.

Why it is useful

  • Produces routable addresses, so a day in the field can be planned around drive time.
  • Shows capacity and service mix, which qualifies an account before the first call.
  • Exposes coverage deserts where a facility should exist and does not.

Questions it helps answer

  • Which sites inside this radius actually deliver the service I sell into?
  • What is the realistic route for a single field day here?
  • Where are the gaps between where people live and where services exist?

How different verticals use it

RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.

Healthcare & life sciences

Produces routable sites with service mix so a field day is planned around drive time.

Manufacturing & industrial

Maps installed-base locations for service and replacement cycles.

Logistics & transportation

Identifies delivery points and their density inside a service radius.

Behavioral health & social services

Exposes coverage deserts where a site should exist and does not.

How RepVector uses it

  1. You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at state runs without you knowing any codes.
  2. The planner selects Hospital cost reports (HCRIS) by facility only when your question matches what it actually reports. It is never included to pad a result.
  3. Returned rows are normalised into the shared metric layer, so figures from Centers for Medicare & Medicaid Services line up with every other source in the same dashboard instead of sitting in an isolated table.
  4. Quality checks score coverage and recency. If Centers for Medicare & Medicaid Services suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
  5. The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.

What it does not tell you

  • Site records describe the location, not the individual clinician or buying committee inside it.
At a glance
How this dataset can be queried and how current it stays.
Publisher
Centers for Medicare & Medicaid Services
Geographic grain
state
county
Refresh cadence
Annual
Row represents
entity
Topics
hcris
cost report
hospital
beds
discharges
patient days
operating cost
charity care
uncompensated care
bad debt
margin
finance
Available fields
The columns this dataset returns in a RepVector build.
FieldKeyType
Hospitalhospitalstring
Citycitystring
Countycountygeo
Ownershipownershipstring
Rural/urbansettingstring
Fiscal year endfiscalYearEndstring
Bedsbedsnumber
Dischargesdischargesnumber
Patient dayspatientDaysnumber
Employee FTEsemployeesFtenumber
Total coststotalCostscurrency
Total chargestotalChargescurrency
Charity care costcharityCarecurrency
Uncompensated careuncompensatedCarecurrency
Uncompensated % of costuncompensatedPctOfCostpercent

How it fits with the rest of the catalog

Facility locations plus provider rosters give you both the address and the name to ask for at the desk. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to Hospital cost reports (HCRIS) by facility:

Browse all datasets

Common questions

What does Hospital cost reports (HCRIS) by facility contain?

Audited Medicare cost report filings for every hospital: bed count, discharges, patient days, staffing FTEs, total costs, inpatient and outpatient charges, charity care, bad debt and uncompensated care, plus ownership type and rural/urban status. The standard public read on hospital size, cost structure and financial pressure. It is published by Centers for Medicare & Medicaid Services at state and county grain.

How often is it refreshed?

Centers for Medicare & Medicaid Services publishes on a annual cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.

Do I need an account to use it?

No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.

Put Hospital cost reports (HCRIS) by facility to work in your market
Describe the market and the customer you want in plain language. RepVector resolves the geography, selects the datasets that actually answer it — including this one when it fits — and builds the dashboard, targets and exports.

Build the list for one county and see whether the names are right.

Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.

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