Student Loan Repayment for Neurosurgeons
Neurosurgery is a 7-year residency — the longest in medicine — followed by the highest median attending salary of any specialty at $948K. Despite a long training period at resident income, neurosurgeons have the income to pay off $245K in medical school debt in as little as 1–2 years of attending practice, making the debt load among the most manageable of any specialty relative to earning power.
$948K salary · 7-yr residency · pre-loaded
Key numbers
Avg med school debt
$245K
AAMC GQ 2025
Resident salary (PGY-1)
$69K
ACGME median
Residency length
7 yrs
+ fellowship common
Debt-to-income ratio
0.26x
Debt ÷ attending salary
Attending Salary Distribution
Source: Marit Health, Jun 2026 · Median used in calculator
Residency Salary Progression
| Year | Salary | Monthly IDR est.* |
|---|---|---|
| PGY-1 | $68K | ~$285/mo |
| PGY-2 | $70K | ~$304/mo |
| PGY-3 | $73K | ~$328/mo |
| PGY-4 | $78K | ~$363/mo |
| PGY-5 | $82K | ~$399/mo |
| PGY-6 | $85K | ~$423/mo |
| PGY-7 | $89K | ~$460/mo |
* Salaries: AAMC 2025 national averages. IDR estimate assumes SAVE plan, single filer, no dependents.
PSLF Timeline
residencyFinish
residencyLoans
forgiven 🎉
With PSLF, loans forgiven after 10 years of qualifying payments — as early as Year 10 for neurosurgery physicians.
Salary & IDR Estimate
$950K
Monthly
~$7,634/mo
Annual
~$91,608/yr
Estimate assumes SAVE plan, single filer, no dependents.
Run full calculationPSLF fit
Weak — rare qualifying employers
PSLF is essentially irrelevant for neurosurgeons. At nearly $1M in median attending income, IDR payments would approach or exceed standard repayment amounts — leaving nothing meaningful to forgive. Even for academic neurosurgeons at lower salaries, the 7-year residency means only 3 attending years to PSLF forgiveness, which can produce some benefit for those earning $400–600K in academia.
Check if your employer qualifiesRefinancing
When it makes sense
Neurosurgeons have the highest earning power in medicine and some of the best loan payoff math. At $948K, directing $15–20K/month to loans eliminates $245K in 12–18 months. Refinancing to a lower rate during this compressed payoff window saves modest interest but the primary win is pure income. Most neurosurgeons pay off medical school debt faster than nearly any other specialty.
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Common questions
Neurosurgery loan repayment, answered.
How quickly can a neurosurgeon pay off medical school loans?
Extremely fast. At a $948K median salary, directing $20K/month to loans eliminates $245K in approximately 12 months. Even conservative payoff of $10K/month clears the debt in under 2 years. Neurosurgery has the best loan payoff math in medicine — the long training period is the cost, and the attending income is the reward.
Does PSLF ever make sense for neurosurgeons?
Rarely. At $948K, IDR payments under SAVE would be $4,000–6,000/month — close to standard repayment. The forgiven amount after 10 years of high payments is minimal. The one exception is a neurosurgeon who takes an academic position at $400–600K and has 7 years of training already counting toward PSLF — in that case, only 3 attending years to forgiveness can produce real savings.
Should neurosurgery residents refinance during training?
Generally no. Even for a specialty where PSLF is unlikely to apply, refinancing during residency eliminates federal protections (income-driven repayment, deferment options, discharge provisions) that can be valuable during a 7-year training. Most neurosurgeons refinance immediately after training when income jumps and aggressive payoff begins.
How does a neurosurgery fellowship affect loan repayment?
A 1-year fellowship (spine, vascular, pediatric neurosurgery) adds one more year of training income but is considered a standard step in academic neurosurgery careers. For a neurosurgeon not pursuing PSLF — essentially everyone — one additional year of fellowship at $80–100K stipend is a small cost relative to the lifetime income premium from subspecialization.
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PSLF vs aggressive payoff vs refinancing — modeled with your salary, debt, and training timeline. Adjust any input and results update in real time.