Estimate Your IUI Pregnancy Chances
Use this tool to estimate your per-cycle IUI success rate and your cumulative chance over multiple cycles.
Educational estimate only. Not a diagnosis or medical advice.
What this IUI success rate calculator tells you
Intrauterine insemination (IUI) success varies widely. This calculator gives a practical estimate using commonly discussed fertility variables: age, ovarian reserve proxy (AMH), total motile sperm count, infertility duration, diagnosis, medication protocol, and smoking status.
You get two outputs:
- Per-cycle estimated pregnancy chance (how likely one IUI attempt is to result in pregnancy).
- Cumulative chance over multiple cycles (how odds improve over 2-6 attempts).
How the estimate is calculated
1) Baseline chance
We start from a middle baseline per-cycle probability and then adjust up or down using your inputs. In real clinics, per-cycle rates commonly fall in the broad range of roughly 5% to 20%+ depending on case selection and protocol.
2) Risk and benefit adjustments
The tool applies weighted adjustments for:
- Age-related decline in egg quality and implantation potential.
- AMH as a rough signal of ovarian reserve (not egg quality by itself).
- Total motile sperm count after wash.
- Duration of infertility and diagnosis category.
- Type of ovarian stimulation protocol.
- Smoking status.
3) Cumulative probability
A common way to estimate multi-cycle chance is: 1 - (1 - p)n, where p is per-cycle probability and n is number of cycles. This assumes each cycle is independent and similarly managed.
How to interpret your result
A higher percentage does not guarantee pregnancy, and a lower percentage does not mean treatment is futile. Fertility outcomes are biologically variable. Use this estimate as a planning aid and conversation starter with your reproductive endocrinologist.
- Low range: may suggest discussing whether to optimize protocol or move sooner to IVF.
- Moderate range: often supports trying 3-4 well-timed IUI cycles.
- Higher range: can justify multiple IUI attempts before stepping up treatment.
Factors that strongly influence IUI success
Female age
Age is one of the most powerful predictors. Success is generally higher in the early 30s than in the late 30s or 40+.
Total motile sperm count (TMSC)
Post-wash TMSC can meaningfully affect chances. Higher counts generally improve odds, while very low counts may lower IUI utility.
Diagnosis and tubal status
IUI can work well in specific indications (for example, unexplained infertility or mild male factor), but is usually not appropriate with bilateral tubal blockage.
Medication strategy
Letrozole, clomiphene, and gonadotropins may produce different follicle responses and risks. More aggressive stimulation can raise pregnancy rates in some contexts, but also increases multiple-gestation risk.
When to consider IVF instead of repeated IUI
You may want to discuss earlier IVF transition if you have:
- Advanced maternal age with time-sensitive fertility goals.
- Very low post-wash motile sperm counts.
- Multiple failed IUI cycles despite optimized timing.
- Combined infertility factors reducing IUI efficiency.
Practical tips to improve IUI planning
- Track ovulation carefully and coordinate timing precisely.
- Follow medication and trigger schedules exactly.
- Address modifiable factors: smoking, sleep, alcohol, BMI, and stress support.
- Ask your clinic how they define and report success rates by age group and diagnosis.
- Review plan after each cycle and adapt rather than repeating unchanged.
Important limitations
This calculator is intentionally simple and cannot model every factor: AFC, FSH, estradiol, detailed semen parameters, endometrial thickness, luteal support, procedural technique, and lab/clinic variation. Real outcomes can differ substantially.
Bottom line
An IUI success rate calculator can help you estimate probability, compare scenarios, and set realistic expectations. Use it to prepare better questions, not to self-diagnose. If you are actively trying to conceive, personalized guidance from your fertility specialist should always lead the decision.