Physician Specialty Demand Assessment
Executive Summary
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Neighborhood Overview
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SPECIALTIES ASSESSED
LARGEST TRADE AREA
LEADING SPECIALTY VISITS
Key Findings
- Findings will appear when MEPS estimates are available.
Use the specialty comparison on the following page to compare the scale of resident-generated visits across the trade area. These modeled estimates describe historical office-based and hospital outpatient physician use, including care received outside the area. They do not measure inpatient stays, emergency-department visits, every service a specialty may provide, unmet need, available physician capacity, or the visit volume a new practice could capture.
Source: MEPS national v2.9.1; utilization reference 2024; ACS 2020–2024. Whole block groups intersecting each radius are included. Radii overlap; specialty visits may overlap and should not be combined into a unique total.
Curis Physician Specialty Demand
Estimated annual visits generated by residents, by physician specialty and trade-area radius.
| Physician specialty | 1-Mile Visits | 3-Mile Visits | 5-Mile Visits |
|---|---|---|---|
| Loading 25 specialties from MEPS demand estimates… | |||
MEPS specialty estimates have not yet loaded.
Modeled resident-generated historical use, wherever care occurs; these are not observed local visits, unmet clinical need, or projected practice volumes. Whole block groups intersecting each radius are included in full, so boundary populations extend beyond the circle. Radii overlap and must not be added. Specialty visit counts may overlap and should not be summed into a unique-visit total.
Demographic Profile
Population & Households by Radius
| Age Group | 1-Mile Radius | 3-Mile Radius | 5-Mile Radius |
|---|---|---|---|
| Total Population | Unavailable | Unavailable | Unavailable |
| Total Households | Unavailable | Unavailable | Unavailable |
| Total Families | Unavailable | Unavailable | Unavailable |
| Average Household Size | Unavailable | Unavailable | Unavailable |
Age Distribution Analysis
Population by Age Group (5-Mile Radius)
| Age Group | 1-Mile | 3-Mile | 5-Mile | Trade Area % | County % | Difference (pp) |
|---|---|---|---|---|---|---|
| Ages 0-17 | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable |
| Ages 18-34 | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable |
| Ages 35-54 | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable |
| Ages 55-64 | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable |
| Ages 65+ | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable | Unavailable |
Source coverage is checked when the report loads.
Loading matched ACS 2020–2024 age data and county benchmark…
Healthcare Market Context
| Category | Listings | Per 100,000 Residents |
|---|---|---|
| Medical clinics | Unavailable | Unavailable |
| Doctor listings | Unavailable | Unavailable |
| Hospitals | Unavailable | Unavailable |
| Pharmacies | Unavailable | Unavailable |
| Medical labs | Unavailable | Unavailable |
Google Maps healthcare location counts load when the report is generated.
Economic Indicators
Income Distribution
| Income Range | Households | % of Total |
|---|---|---|
| Under $25,000 | Unavailable | Unavailable |
| $25,000 - $49,999 | Unavailable | Unavailable |
| $50,000 - $74,999 | Unavailable | Unavailable |
| $75,000 - $99,999 | Unavailable | Unavailable |
| $100,000 - $149,999 | Unavailable | Unavailable |
| $150,000+ | Unavailable | Unavailable |
Estimated Median Household Income Comparison
Employment & Education
| Metric | Value | Benchmark |
|---|---|---|
| Labor Force Participation Rate | Unavailable | Unavailable |
| Unemployment Rate | Unavailable | Unavailable |
| Bachelor's Degree or Higher | Unavailable | Unavailable |
| High School Graduate or Higher | Unavailable | Unavailable |
| Management, Business, Science & Arts Occupations | Unavailable | Unavailable |
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Housing Characteristics
MEDIAN HOME VALUE
MEDIAN RENT
HOUSING UNITS
5-Year Growth Projections
Forecasts use source growth rates where historical records are available.
Population Growth Forecast
| Radius | 2024 ACS Baseline | 2029 Trend Scenario | Change | CAGR |
|---|---|---|---|---|
| 1-Mile | Unavailable | Unavailable | Unavailable | Unavailable |
| 3-Mile | Unavailable | Unavailable | Unavailable | Unavailable |
| 5-Mile | Unavailable | Unavailable | Unavailable | Unavailable |
Household & Income Projections
| Metric (Largest Radius) | 2024 ACS Baseline | 2029 Trend Scenario | % Change |
|---|---|---|---|
| Total Households | Unavailable | Unavailable | Unavailable |
| Family Households | Unavailable | Unavailable | Unavailable |
| Median Household Income | Unavailable | Unavailable | Unavailable |
| Per Capita Income | Unavailable | Unavailable | Unavailable |
Age Group Shifts
Modeled Age Distribution Changes (2024 to 2029 Trend Scenario)
| Age Group | Current Share | Modeled Projected Share | Trend |
|---|---|---|---|
| Ages 0-17 | Unavailable | Unavailable | Unavailable |
| Ages 18-34 | Unavailable | Unavailable | Unavailable |
| Ages 35-54 | Unavailable | Unavailable | Unavailable |
| Ages 55-64 | Unavailable | Unavailable | Unavailable |
| Ages 65+ | Unavailable | Unavailable | Unavailable |
Thematic Map — Population by Block Group
Specialty Demand Across the Trade Area
Modeled annual visits per 1,000 residents, by block group. All maps share the same geography and color scale. Darker green indicates more visits per resident.
Family practice
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Dermatology
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Pediatrics
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Oncology
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Source: MEPS national v2.9.1, utilization reference 2024; ACS 2020–2024 population from the MEPS project. Whole intersecting block groups are shown. Modeled resident-generated historical use wherever care occurs; not unmet need or visits a new practice could capture. Rates use all residents, including for pediatrics. Gray: unavailable. Off-white: no residents.
Put This Assessment to Work
Turn a population view of specialty demand into a focused conversation about your next market, location, or service.
Compare locations
Use estimated annual specialty visits to compare the scale of resident-generated use around candidate sites. Keep geography, source periods, and included services consistent.
Explore the specialty mix
Review which specialties generate the most visits, then consider how that mix aligns with your service strategy, referral relationships, and delivery model.
Read the maps together
Population shows where residents live. Total visits describe the scale of expected use. Visits per 1,000 residents reveal differences in utilization relative to population size.
Add local intelligence
Bring in provider capacity, patient travel, access, referrals, and operating economics. Use these together to evaluate the portion of demand an organization could serve.
Reading the Numbers
Visits include repeat care. Annual visits count encounters, rather than unique patients or people with a condition. A resident can generate visits in several specialties.
Radii overlap. The smaller areas sit within the larger ones. Compare them rather than adding their totals. Whole intersecting block groups extend beyond each circle.
Demand starts with residents. Estimates include care received outside the trade area. Assess achievable volume with explicit assumptions about patient flows, capacity, and capture.
A Population Perspective on Healthcare Opportunity
Every market has a different healthcare demand profile.
Curis helps you understand yours.
Curis applies modeled specialty-use relationships to local population profiles to estimate the specialty visits residents generate. Explore differences across neighborhoods, compare potential locations, and bring a consistent population perspective to healthcare real estate and service planning.
A consistent framework for comparing expected specialty utilization across markets and service areas.
Explore patterns across block groups and defined trade areas, informed by the population living there.
Connect population demand with your market knowledge, provider information, and organizational priorities.
How we develop local estimates
We analyze healthcare survey data weighted to statistically represent the U.S. civilian, noninstitutionalized population. Individual-level records allow us to examine how specialty use varies with age, recorded sex, race and ethnicity, region, and income. The current estimates cover office-based and hospital outpatient physician visits across 25 specialty categories. We apply the modeled relationships to the population profile of a defined geography.
Use the results alongside local evidence. Modeled historical utilization does not directly measure unmet clinical need or predict practice revenue, market share, or site viability.
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