Medicare Advantage penetration by county
Centers for Medicare & Medicaid Services
In a RepVector build, this dataset quantifies clinical need and utilisation across the population.
Carrier share and penetration for every state and county, free.
See Medicare Advantage market share by carrier| County | Year | Medicare beneficiaries | Original Medicare | Medicare Advantage | MA penetration |
|---|---|---|---|---|---|
| Bergen County | 2,025 | 191,121 | 122,262 | 68,859 | 36% |
| Ocean County | 2,025 | 167,713 | 103,586 | 64,127 | 38.2% |
| Middlesex County | 2,025 | 154,753 | 91,928 | 62,825 | 40.6% |
| Monmouth County | 2,025 | 145,454 | 100,306 | 45,148 | 31% |
| Essex County | 2,025 | 127,816 | 65,212 | 62,604 | 49% |
| Camden County | 2,025 | 105,208 | 57,933 | 47,275 | 44.9% |
| Morris County | 2,025 | 104,574 | 70,387 | 34,187 | 32.7% |
| Burlington County | 2,025 | 101,540 | 58,994 | 42,546 | 41.9% |
What this dataset is
County-level Medicare enrollment split between original fee-for-service Medicare and Medicare Advantage, with the resulting MA penetration rate, plus dual-eligible, aged, disabled and Part D / MA-PD counts. Shows how managed the Medicare population is in each county and where plan mix is shifting. It is published by Centers for Medicare & Medicaid Services and can be queried at county and state level, refreshed annual (monthly detail published). Each row is an aggregate statistic for a geography, so results describe a market as a whole rather than a single account.
Why it is useful
- Separates markets with real clinical demand from markets that only have supply.
- Grounds a territory case in published prevalence and utilisation instead of assumption.
- Highlights where need outruns available capacity — usually the fastest conversations.
Questions it helps answer
- Where is the underlying clinical need highest relative to available capacity?
- How does utilisation here compare with the state and national picture?
- Which measures are suppressed or unreported for this geography?
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.
Prioritises territories where clinical need outruns available capacity.
Quantifies prevalence and utilisation behind a programme or referral case.
Informs risk and benefit design with published utilisation patterns.
Shows community health pressures that shape support-service demand.
How RepVector uses it
- 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 county runs without you knowing any codes.
- The planner selects Medicare Advantage penetration by county only when your question matches what it actually reports. It is never included to pad a result.
- 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.
- 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.
- 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
- Aggregated and often suppressed at small geographies to protect privacy; gaps are reported rather than filled in.
| Field | Key | Type |
|---|---|---|
| County | county | geo |
| Year | year | number |
| Medicare beneficiaries | totalBenes | number |
| Original Medicare | originalMedicare | number |
| Medicare Advantage | maBenes | number |
| MA penetration | maPenetration | percent |
| Dual eligible | dualEligible | number |
| Aged | aged | number |
| Disabled | disabled | number |
| Part D enrollees | partD | number |
| MA-PD enrollees | mapd | number |
How it fits with the rest of the catalog
Need data explains why a territory matters; provider and facility data explains who you visit once you get there. 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 Medicare Advantage penetration by county:
Other health datasets
Common questions
What is Medicare Advantage penetration?
The share of Medicare beneficiaries in a county enrolled in a Medicare Advantage plan rather than original fee-for-service Medicare.
Where does the county enrollment data come from?
The CMS Medicare Monthly Enrollment file, which reports beneficiary counts by county of residence and plan type.
Can I see every county in a state?
Yes. The free Medicare Advantage penetration lookup returns every county in a state you pick, ranked by enrollment.
Build the list for one county and see whether the names are right.
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