IVF Success Rates in Europe: How to Read the Numbers Without Being Misled

Last updated: February 2026

A clinic claiming 60% success rates and a clinic claiming 35% might be equally good. The first is quoting pregnancy rate per embryo transfer in patients under 35 using donor eggs. The second is quoting live birth rate per cycle started across all ages with own eggs. Same procedure, same quality of care, completely different numbers because they measured different things.

This is the central problem with IVF success rates in Europe. There is no single standard for what “success rate” means, no mandatory reporting in most countries, and no penalty for cherry-picking the most flattering metric.

Who Reports What

CountryReporting bodyMandatory?Latest data yearMetric used
UKHFEAYes2021Live birth rate per embryo transferred
SpainSEF (Sociedad Española de Fertilidad)Yes (since 2022)2020Clinical pregnancy rate + live birth rate
GermanyDIR (Deutsches IVF-Register)Voluntary2022Clinical pregnancy rate per transfer
FranceAgence de la biomédecineYes2021Cumulative delivery rate
Czech RepublicUZIS (Institute of Health Information)Partial2019Varies
GreeceNo national registryNoN/ASelf-reported by clinics
TurkeyMinistry of Health (not reported to ESHRE since 2012)Limited2019 (survey)Per-transfer rates (25-centre survey)
BelgiumBELRAPYes2020Cumulative live birth rate
DenmarkDanish Health AuthorityYes2021Clinical pregnancy rate
North CyprusNoneNoN/ASelf-reported
Pan-EuropeanESHRE EIM ConsortiumVoluntary2019Multiple metrics

ESHRE’s European IVF Monitoring (EIM) Consortium collects data from participating countries and publishes aggregated reports. The latest full report covers 2019 data from 40 countries. But reporting is voluntary, not all countries submit, and the data arrives 3-5 years late (ESHRE EIM, 2023).

The gap: Greece, North Cyprus, and Turkey (since 2012) have no mandatory national reporting. Success rates from clinics in these countries are self-reported and unaudited. That doesn’t mean they’re wrong. It means you can’t independently verify them.

What the Data Actually Shows

By Age (the variable that matters most)

Age groupLive birth rate per embryo transfer (own eggs)Source
Under 3532-38%HFEA 2021, ESHRE EIM 2019
35-3728-33%HFEA 2021, ESHRE EIM 2019
38-3920-25%HFEA 2021, ESHRE EIM 2019
40-4212-18%HFEA 2021, ESHRE EIM 2019
43-445-8%HFEA 2021
45+Under 3%HFEA 2021
Donor eggs (all recipient ages)40-55%ESHRE EIM 2019

Age is the single strongest predictor. A 30-year-old at an average clinic will have better outcomes than a 42-year-old at the best clinic in Europe. No amount of lab technology compensates for egg quality.

By Country

Meaningful country-level comparisons barely exist. Different reporting standards, different patient populations (Czech Republic and Spain see more egg donation patients, which inflates aggregate rates), different inclusion criteria. The ESHRE EIM report is the closest thing to an apples-to-apples comparison, but even it warns against cross-country comparisons.

What we can say from Turkey’s 2019 survey of 25 centres (PMC, 2024):

These are in line with European averages. Turkey’s numbers aren’t outliers. But they come from 25 of 165 centres (15% response rate), so they may skew toward better-performing clinics that chose to participate.

How Clinics Inflate Their Numbers

Six common tactics. Not all are dishonest. some are just selective presentation. But you should know how each one works.

1. Pregnancy rate instead of live birth rate. A positive pregnancy test (beta-hCG) counts as “success.” But 15-25% of clinical pregnancies end in miscarriage. Quoting pregnancy rate inflates the number by 15-25% compared to live birth rate. Always ask for live birth rate.

2. Per transfer instead of per cycle started. If 100 women start IVF but only 70 make it to embryo transfer (30 cancelled due to poor response), reporting “per transfer” ignores the 30 who got nothing. Per cycle started is the honest denominator.

3. Excluding cancelled cycles. Related to above. Some clinics exclude patients who cancelled mid-cycle, which removes the hardest cases from the statistics.

4. Patient selection. A clinic that declines older patients or those with low ovarian reserve will have better success rates, not because they’re better doctors but because they chose easier cases. A clinic with strict admission criteria and 45% success might be turning away the patients a clinic with 30% success is treating.

5. Donor egg rates mixed with own-egg rates. Donor egg cycles have 40-55% live birth rates regardless of recipient age. If a clinic does 50% donor egg cycles, their aggregate “success rate” will look much higher than a clinic doing mostly own-egg cycles. Spain and Czech Republic see disproportionately more donor egg patients, which inflates their national aggregates.

6. Small sample size. A clinic that does 50 cycles per year and had a good run might claim 55% success. Next year, random variation gives them 30%. With small numbers, the margin of error swallows the data. Ask how many cycles the reported rate is based on. Under 200, take it with salt.

The 6 Questions to Ask Any Clinic

  1. What is your live birth rate per cycle started (not per transfer, not pregnancy rate) for my age group with own eggs?
  2. How many cycles is that based on? Under 200 cycles is too small to be meaningful.
  3. Do you report to a national registry? If yes, which one? Can you see the registry data independently?
  4. What percentage of your cycles are donor egg? If it’s over 40%, their aggregate rate is boosted. Ask for own-egg rates specifically.
  5. What’s your cancellation rate? A 10% cancellation rate is normal. Over 20% might mean aggressive patient selection or conservative stimulation protocols.
  6. What’s your multiple pregnancy rate? A clinic with high success rates but 30% twins is transferring multiple embryos. High multiples rates are a sign of aggressive practice, not superior skill. Best practice is single embryo transfer (ESHRE recommendation).

A clinic that answers all six clearly and without deflection is telling you something about how they operate.

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Sources

  1. ESHRE European IVF Monitoring (EIM) Consortium. ART in Europe, 2019 data: https://www.eshre.eu/Data-collection-and-research/Consortia/EIM
  2. HFEA. Fertility treatment 2021: https://www.hfea.gov.uk/about-us/publications/
  3. PMC: Survey of IVF practices in Turkey (2019 data): https://pmc.ncbi.nlm.nih.gov/articles/PMC10921078/
  4. PMC: Experience of IVF data collection in Turkey: https://pmc.ncbi.nlm.nih.gov/articles/PMC8420751/
  5. SEF (Sociedad Española de Fertilidad): https://www.registrosef.com/
  6. DIR (Deutsches IVF-Register): https://www.deutsches-ivf-register.de/