Compare MGMA DataDive with alternative physician compensation benchmark sources including SalaryDr, Sullivan Cotter, AMGA, and BLS. Cost comparison, data methodology, and FMV compliance features.
Key Takeaways
- MGMA DataDive subscriptions start above $3,000/year and require annual commitments — alternatives exist at a fraction of the cost
- Physician-reported data provides different compensation signals than employer-reported surveys like MGMA
- Using multiple benchmark sources strengthens FMV determinations and reduces regulatory risk
- On-demand benchmark reports eliminate the need for annual subscription commitments
For decades, the Medical Group Management Association (MGMA) has been the default source for physician compensation benchmarks. Their DataDive platform is widely referenced in fair market value (FMV) analyses, Stark Law compliance reviews, and physician recruitment decisions. But MGMA isn't the only option — and for many organizations, it may not even be the best one.
Whether you're a CPA conducting an FMV analysis, a healthcare attorney evaluating compensation arrangements, or a hospital system benchmarking physician pay, you have more choices than ever. This guide examines the strengths and limitations of MGMA and profiles the alternatives worth considering.
Why Organizations Look Beyond MGMA
MGMA remains a respected name in physician compensation data. However, several factors have pushed organizations to explore alternatives:
Cost. MGMA DataDive subscriptions typically exceed $3,000 per year, with premium access tiers running significantly higher. For small valuation firms or organizations that only need benchmark data periodically, an annual subscription represents a substantial commitment — especially when you may only reference the data a few times per year.
Data methodology. MGMA surveys collect data from healthcare organizations (employers), not directly from physicians. This means compensation figures reflect what organizations report paying, which can differ from what physicians actually receive. Employer-reported data may also lag market conditions, since surveys are conducted annually and published months later.
Survey fatigue and participation gaps. MGMA's survey response rates have been a persistent concern. Certain specialties and geographic regions may have thin sample sizes, which limits the statistical reliability of percentile breakdowns in those areas.
Bundled pricing. MGMA bundles compensation data with productivity metrics, staffing benchmarks, and other datasets that many users don't need. If you only require compensation percentiles for an FMV analysis, you're paying for data you won't use.
Major MGMA Alternatives for Physician Benchmarking
SalaryDr
SalaryDr takes a fundamentally different approach to physician compensation benchmarking. Rather than surveying employers, the platform collects compensation data directly from physicians, as self-reported submissions moderated before publication.
Key differences from MGMA:
- On-demand reports, no subscription. Individual benchmark reports start at $799, with premium FMV-ready reports at $1,999. No annual commitment required.
- Physician-reported data. Compensation figures come directly from practicing physicians, capturing actual take-home pay including base salary, bonuses, and incentives.
- Rolling data collection. New submissions are added continuously rather than through an annual survey cycle, meaning benchmarks reflect more current market conditions.
- BLS cross-validation. Every report cross-references Bureau of Labor Statistics occupational data to provide an independent validation layer.
- IRS §482 compliance language. Premium reports include arm's length determination statements and FMV methodology documentation suitable for regulatory submissions.
Current medians and report counts for every specialty are in SalaryDr's specialty ranking, all from self-reported, moderated physician reports.
Need physician compensation benchmark data?
SalaryDr provides on-demand physician compensation benchmark reports starting at $799 — no subscription required. Reports include percentile analysis, BLS cross-validation, and IRS §482 compliance language. Configure a report for your specialty and geography.
Sullivan Cotter
Sullivan Cotter's Physician Compensation and Productivity Survey is the other major benchmark source alongside MGMA. With over 30 years of survey history, it's particularly strong in academic medicine and large health system compensation data. Sullivan Cotter positions itself as a premium advisory service rather than a pure data product.
Strengths: deep historical datasets, strong academic medicine coverage, advisory services. Limitations: high cost (enterprise-level pricing), employer-reported data methodology, annual survey cycle.
AMGA (American Medical Group Association)
AMGA surveys compensation across nearly 200 specialties, with particular strength in multi-specialty group practice data. Their surveys include regional breakdowns and organizational size segmentation. However, AMGA membership and data access costs can be prohibitive for smaller firms.
Bureau of Labor Statistics (BLS)
The BLS Occupational Employment and Wage Statistics program provides free physician compensation data organized by SOC (Standard Occupational Classification) codes. While widely available and frequently cited, BLS data has important limitations: broad specialty groupings (e.g., "Physicians and Surgeons, All Other"), limited percentile granularity, and a publication lag of 12–18 months.
BLS data works best as a cross-validation source rather than a primary benchmark. SalaryDr reports automatically include BLS comparison data for this purpose.
Doximity
Doximity publishes an annual Physician Compensation Report based on self-reported data from its physician social network. While the sample sizes can be large, the data collection methodology (voluntary self-reporting without verification) raises questions about accuracy for compliance and FMV purposes. Doximity reports are free but do not include the percentile granularity, geographic specificity, or compliance documentation that formal benchmarking requires.
Comparing physician benchmark data sources?
See how SalaryDr compares to MGMA, Sullivan Cotter, and other providers on pricing, data methodology, and compliance features. View the full comparison.
How to Choose the Right Benchmark Source
The best choice depends on your use case:
For FMV and compliance work: You need defensible data with clear methodology documentation. Look for sources that provide percentile breakdowns (not just medians), sample sizes, and compliance-ready language. SalaryDr's premium reports and MGMA both serve this need — the key difference is pricing model (per-report vs. subscription).
For physician recruitment: Current data matters more than historical depth. Sources with rolling data collection (like SalaryDr) may better reflect current market conditions than annual surveys published with a 6–12 month lag.
For regulatory defense: OIG and DOJ guidance encourages the use of multiple independent data sources. Using a combination of MGMA, SalaryDr, BLS, and/or Sullivan Cotter strengthens your position. See our guide on using multiple benchmark sources for FMV.
Cost Comparison
| Source | Starting Price | Model | Data Type |
|---|---|---|---|
| MGMA DataDive | ~$3,000+/year | Annual subscription | Employer-reported |
| SalaryDr | $799 one-time | Per-report | Physician-reported |
| Sullivan Cotter | Enterprise pricing | Annual subscription | Employer-reported |
| AMGA | Membership + fees | Annual subscription | Employer-reported |
| BLS | Free | Open access | Government survey |
| Doximity | Free | Annual report | Self-reported |
The Multi-Source Approach
Increasingly, compliance professionals and valuation firms are using multiple benchmark sources rather than relying on a single provider. This approach offers several advantages:
- Data triangulation. When multiple independent sources agree on a compensation range, confidence in the benchmark increases.
- Regulatory defensibility. OIG guidance specifically encourages the use of multiple data sources in fair market value determinations.
- Methodology diversification. Combining employer-reported (MGMA, Sullivan Cotter) and physician-reported (SalaryDr) data provides complementary perspectives.
For a deeper dive on this approach, see our guide to determining physician fair market value.
Frequently Asked Questions
Can non-MGMA benchmark data be used for FMV determinations?
Yes. Regulatory guidance does not mandate any specific data source. What matters is that the data source uses a defensible methodology, provides adequate sample sizes, and is applied consistently. Multiple independent data sources actually strengthen FMV analyses.
How does physician-reported data compare to employer-reported data?
Physician-reported data tends to capture total compensation more comprehensively, including variable pay components like RVU bonuses and call pay that may be reported inconsistently in employer surveys. Both approaches have methodological strengths; using both provides the most complete picture.
Is a per-report pricing model more cost-effective than a subscription?
For organizations that need fewer than 4–5 benchmark analyses per year, per-report pricing is typically more cost-effective. For high-volume users (10+ analyses annually), bulk report packages or subscriptions may offer better value. SalaryDr offers 10-report and 25-report bundles at reduced per-report rates.
What sample sizes should I look for in benchmark data?
A minimum of 5 data points per specialty-geography combination is generally considered publishable, while 15+ provides sufficient statistical confidence for percentile analysis. Always check sample sizes before relying on benchmark figures — thin data can produce misleading percentiles.