Hospital Intelligence Brief

What SPARCS Data Can Reveal About New York Hospital Markets

SPARCS is the closest thing New York has to a statewide map of hospital care. Used carefully, its public files show demand, market share and patient flow.

HealthcareHospital Market Intelligence4 min readSources checked October 2026

By Two Pillars & Co Advisory Group · Sources checked October 2026

Short answer

New York’s SPARCS data cover every inpatient discharge and outpatient visit reported by hospitals and licensed ambulatory surgery sites, and the de-identified public files show facility, county, patient age group, patient three-digit ZIP, diagnosis groupings, severity, payer type and charges. That is enough to estimate market share, patient flow and service mix, but not profitability.[1][2][3]

What is SPARCS and why does it matter for market analysis?

SPARCS, the Statewide Planning and Research Cooperative System, is New York State’s all-payer data reporting system, established in 1979. It collects patient-level detail on characteristics, diagnoses and treatments, services provided and charges for each hospital inpatient stay and each outpatient visit, including ambulatory surgery and emergency department visits.[1] Because it covers all payers and nearly all hospitals in the state, it supports analysis that a single hospital’s own data cannot: how large a market is, who serves it and where patients go.

For hospital leaders, planners and consultants, the public use files make this possible without a formal data request. The Department of Health publishes de-identified SPARCS datasets free of charge on Health Data NY.[2]

Which public datasets are most useful for market questions?

A catalog search on Health Data NY on October 23, 2026 found, among others, annual inpatient discharge files for each year from 2009 through 2024, inpatient discharge summaries by facility and by patient county of residence, quality and safety indicator datasets, and emergency department datasets.[2] For market work, the summaries by facility and by county are usually the quickest route, because they already aggregate discharges to the level planners need.

The annual inpatient file offers more flexibility. Its fields include health service area, hospital county, operating certificate number, facility name, patient ZIP code (three digits), age group, gender, race, ethnicity, length of stay, admission type, disposition, APR DRG, severity of illness, risk of mortality, payment typology and charges.[3] With those fields, an analyst can estimate market share by service line, patient flow between counties, the case mix and severity profile of each hospital, and the payer mix of its discharges.

What can you learn from them?

Five questions are well suited to this data. Who serves the market, and with what share? How much demand is there for a service, and where is it growing? Where do the residents of a county receive care, and how much leaves the area? How do hospitals differ in case mix, severity and length of stay? And how has the market changed over time?

An invented example: a county’s residents had 12,000 inpatient discharges in a year. Using the county summary, an analyst finds that 8,400 (70 percent) were at hospitals in the county, 2,400 at hospitals in a neighboring county and 1,200 at an academic center 60 miles away. The county’s hospitals could then ask which service lines account for the 3,600 out-of-county discharges and whether they could be captured locally. The numbers are illustrative.

What are the limits?

Several limits apply. The three-digit ZIP and the blanking of ZIP codes in small populations and small cells make fine geography impossible.[3] The Department states that at the time of release some facilities are not in full compliance with reporting requirements, so counts may be incomplete, particularly for recent months.[3] SPARCS collects pre-adjudicated claim data, meaning records are submitted before payers have finished processing them.[5]

The inpatient file also excludes individual secondary diagnoses, procedures and revenue codes, and gives age only in groups, which limits clinical and cohort analysis.[3] And the data show where care was delivered, not why patients chose it. Market share is a descriptive measure, not an explanation.

How should the data be used responsibly?

Record the dataset name, year and release date for every figure. Read the data dictionary and release notes. Do not use SPARCS compliance dashboards for public counts; the Department says they should not be used for that purpose.[4] And remember that profitability cannot be inferred: charges are not revenue and the files hold no cost or margin information beyond a limited cost field. A separate article in this series explains what public hospital data cannot say about profitability.

Frequently asked questions

What does SPARCS data include?

Patient-level data on characteristics, diagnoses, treatments, services and charges for each hospital inpatient stay and outpatient visit in New York.[1]

Is SPARCS data free?

The de-identified public use files are free on Health Data NY. More detailed data require an application and fees.[2]

Can SPARCS show hospital market share?

Yes, approximately, using the facility and county fields in the public inpatient files, subject to completeness and geography limits.[3]

How precise is geography in SPARCS public files?

Patient ZIP codes are limited to three digits and blank in small populations, so analysis is approximate.[3]

Can SPARCS tell me a hospital’s profitability?

No. Charges are not revenue, and the files do not contain complete cost or margin information.

What to do next

  1. Choose the service area and service lines to analyze.
  2. Download the facility and county summaries first.
  3. Read the data dictionary and release notes.
  4. Document dataset, year and release date for every figure.

Optional · interactive example

See it in an interactive example.

Hospital Market Explorer: a market dashboard comparing a five-hospital market by service category, an outmigration capture scenario, evidence-linked answers from APIS, and a sample brief, all on synthetic data.

The experience below uses a synthetic five-hospital market built to look like public discharge data. It is not New York data, or data for any real market, and every figure is illustrative. The counts are discharges, not dollars.

  1. Select the Orthopedics row in the service-category table. The hospital table below re-filters to that category. Who gained?
  2. Compare overall share with share in one category. Where is the story different?
  3. Ask APIS “What can this data not tell us about profitability?”

Explore Your Hospital’s Opportunities

Two Pillars can help hospital leadership investigate market, financial, operational and strategic questions using relevant organizational data, public information and a structured assessment process. A good first step is a market scan that uses public discharge data to show where your service area’s patients go and which gaps are worth a closer look.

Discuss Your Hospital’s ChallengesHow we approach thisMore Healthcare intelligence

Sources

  1. New York State Department of Health, Statewide Planning and Research Cooperative System (SPARCS): Overview. Accessed October 2026.
  2. New York State Department of Health, Health Data NY (open data portal). Accessed October 2026.
  3. New York State Department of Health, Hospital Inpatient Discharges (SPARCS De-Identified): 2024. Accessed October 2026.
  4. New York State Department of Health, SPARCS Data Submission Compliance Reports. Accessed October 2026.
  5. New York State Department of Health, SPARCS Data Submission. Accessed October 2026.

Sources checked October 2026. This guide is general information for healthcare leaders and is not legal, financial, clinical or compliance advice. Figures and rules are cited to the sources below and may have changed since they were accessed, so confirm anything you rely on against the current source. Two Pillars & Co is independent of the organizations cited. See our editorial policy.