How to compare fertility clinics fairly and accurately

Comparing fertility clinics feels like it should be simple: find the highest success rate and pick it. In practice, the headline percentage on a clinic's homepage is usually answering a different question than the one you're asking. Two clinics can both show strong numbers and still not be measuring the same thing.

This guide walks through what to check, in what order, so your comparison reflects your situation rather than a marketing figure.

Start with the factor that matters most: age

Age at the time of egg retrieval is the major predictor of IVF outcome when a patient is using her own eggs, according to SART's patient guide to success rates. Egg number and quality decline over the reproductive years, and miscarriage risk rises, particularly above age 40.

That means a clinic's overall rate is close to meaningless until you find the row for your age band. National data generally shows the highest live birth rates per retrieval in patients under 35, a gradual decline through the late 30s, and a steeper drop after 40, as one clinic's plain-English explainer notes. A modest-looking rate at a clinic that treats many older or complex patients can still reflect excellent care.

Check the denominator, not just the percentage

A rate is a fraction. The headline almost never shows you the bottom half.

• How many cycles is this built on? A rate from a handful of cycles is far shakier than one built on hundreds.
• Per what? Live birth per intended egg retrieval, per actual retrieval, and per transfer are different measures with different denominators.
• Per patient or per cycle? Per-patient reporting is easier to interpret, because it may take more than one cycle to have a baby.

When reading SART and CDC tables, the categories worth examining first include the number of cycles a program performed in a given year and the percentage of retrievals resulting in a live birth, per this guide to reading the tables.

Match the patient mix before you compare

Clinics treat different populations. Some decline patients who are less likely to succeed, such as women 40 or over, which can lift a headline rate without any difference in care quality, as WIN Fertility explains. Others use different treatment approaches or cycle-reporting practices that raise or lower the number.

Ask specifically:

1. Does this figure include donor-egg cycles? Donor eggs are reported separately and are not broken down by age, because eggs from young donors change the picture entirely.
2. Which diagnosis groups are in this cohort? A rate built on unexplained infertility is not the same as one built on diminished ovarian reserve.
3. Is this a single strong year or a multi-year pattern? A standout year is not a trend.

Prefer live birth rates over pregnancy rates

Positive pregnancy tests and clinical pregnancy rates can look encouraging without reflecting how many patients actually take home a baby. Live birth rate is generally considered the most meaningful figure, since it counts deliveries of a living baby rather than early milestones.

Also look at how many embryos are transferred. High singleton live birth rates, low multiple birth rates, and a high proportion of single embryo transfers are a healthier signal than a high pregnancy rate achieved through multiple transfers.

Expect the numbers not to reconcile perfectly

The same clinic's data can appear in different formats across official sources, producing figures that look inconsistent with no obvious way to line them up. That is often a reporting artifact rather than a contradiction. Treat reconciliation as normal homework, not a red flag on its own.

A practical comparison checklist

• Find your age band and read only that row.
• Confirm whether donor eggs are included or excluded.
• Note the denominator: cycles, retrievals, transfers, or patients.
• Check the reporting year and whether the pattern holds across years.
• Compare live birth rates, not pregnancy rates.
• Look at single embryo transfer share and multiple birth rates.
• Ask what patient selection criteria the clinic applies.
• Weigh what the rate cannot capture: the doctor relationship, the lab, cost, and how the clinic handles a failed cycle.

What the numbers cannot tell you

A success rate says nothing about whether you will feel heard, how the lab is run, what treatment will cost, or how a clinic responds when a cycle fails. Those factors belong in your comparison alongside the data, not after it.

How the Featured Expert Can Help

Fertility X-Ray provides detailed, plain-English reports on U.S. fertility clinic success rates, turning CDC data into actionable dossiers for patients. The service sells individual clinic reports and comparative analyses for a fee, aimed at helping prospective patients make informed choices. You can explore it at getfertilityxray.com.

Before you treat any percentage as your odds, check what question it is answering.