Free Tool

IVF Success Rate Estimator

Get a population-based live birth estimate using your age, health profile, and national SART aggregate outcome data. Takes about 60 seconds.

This tool produces illustrative estimates based on aggregate national statistics, not medical advice. Results are for educational purposes only.

About you

Fertility history

AMH level (optional)

AMH is measured by a blood test and tells your doctor about your egg reserve. If you don't know your AMH, leave this blank and we'll use age-based averages.

Important: These estimates are based on published national aggregate statistics, not a clinical assessment of your individual case. Results are for educational purposes only and are not medical advice. Your actual outcomes will depend on many factors this tool cannot capture. Always consult your reproductive endocrinologist.

Your estimated success rates

Live birth per cycle
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Live birth per patient (first transfer)
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How you compare to the national average for your age group
Based on national SART data.

What does this mean?

How your factors affect this estimate

How to improve your chances

    Find a SART-certified clinic near you

    Success rates vary significantly by clinic. A clinic with strong lab quality and experienced embryologists can improve your individual odds beyond national averages. We're building a clinic directory with verified SART data and real patient reviews.

    Browse clinic directory NYC-area listings available now
    Important disclaimer. This tool provides estimates based on published national aggregate data from SART's 2022 national summary. Individual outcomes vary significantly based on factors this tool cannot capture, including embryo quality, uterine receptivity, clinic lab quality, and genetic screening results. This is for educational purposes only and is not medical advice. Consult your reproductive endocrinologist for a personalized assessment.

    Data source: Society for Assisted Reproductive Technology (SART) 2022 National Summary Report. This tool is an approximation using published aggregate statistics and does not use SART's proprietary patient-level dataset or the exact SART prediction algorithm.

    What affects IVF success rates?

    Age — the strongest predictor

    A woman's age at egg retrieval is the single biggest factor. Egg quality and quantity decline with age. Women under 35 have significantly better outcomes than women 38 and older. This is why many doctors recommend freezing eggs before 35 if you're planning to delay childbearing.

    AMH — your ovarian reserve

    Anti-Mullerian Hormone reflects the number of egg follicles remaining. A higher AMH means more eggs are available to retrieve per cycle, which increases the chance of having at least one viable embryo. Very low AMH (under 0.5 ng/mL) may mean fewer eggs retrieved per cycle, though egg quality is still primarily determined by age.

    BMI — moderate impact

    Obesity (BMI above 30) is associated with lower IVF success rates — roughly a 5–10% reduction in live birth probability per cycle. This is thought to be related to hormonal imbalances and reduced embryo implantation rates. Being underweight (BMI below 18.5) also slightly reduces success rates. A BMI between 20–27 is generally considered optimal for fertility treatment.

    Diagnosis

    The reason for IVF matters. Male factor infertility and unexplained infertility tend to have better outcomes because the female partner's eggs and uterus are typically healthy. Diminished ovarian reserve and uterine factors tend to have lower success rates. PCOS and tubal factor are intermediate.

    Pregnancy history

    Having had a prior pregnancy or live birth is a positive prognostic sign — it demonstrates that implantation and pregnancy can occur. This is a moderate positive factor in the model.

    Methodology

    This tool uses the SART 2022 National Summary Report's published live birth rates per egg retrieval cycle, stratified by patient age band. It then applies evidence-based adjustment multipliers for BMI, AMH level, infertility diagnosis, and pregnancy history.

    This is a simplified approximation. SART's own published predictor uses a proprietary regression model trained on patient-level records from thousands of U.S. clinics. Our model uses aggregate statistics and published research on modifier effect sizes.

    Data source: Society for Assisted Reproductive Technology (SART) 2022 National Summary Report. Published at sartcorsonline.com.