Insulin 10 µIU/mL and glucose 90 mg/dL.
Free fasting-lab calculator
HOMA-IR Calculator
Calculate the original HOMA1-IR approximation from fasting insulin and fasting glucose, then see why the result has no universal diagnostic cutoff.
Use one fasting blood draw
Enter insulin and glucose
Use fasting insulin and fasting glucose collected at the same time. Do not combine an insulin result from one date with a glucose result from another.
A result reported as mIU/L is numerically equivalent. Do not enter pmol/L.
Enter the fasting glucose from the same laboratory draw.
Your lab values stay in this browser tab. This calculator does not send or save them.
Your calculation will appear here
The page returns the HOMA1-IR approximation and the exact formula used. It does not label the number normal or abnormal.
The quick answer
What does this calculator do?
It combines two fasting laboratory values into one research index.
HOMA stands for Homeostasis Model Assessment. The original model was published by Matthews and colleagues in 1985 to estimate insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations.
This page calculates the widely used linear approximation called HOMA1-IR. It does not directly measure insulin sensitivity, and it does not perform the later HOMA2 computer model.
Fasting insulin is entered in µIU/mL or the numerically equivalent mIU/L. The two equations return nearly identical results when the glucose conversion is handled accurately.
The cutoff problem
Why there is no universal normal range
A precise-looking answer can hide several layers of variability.
Oxford's HOMA group states that there is no absolute value for HOMA indices and no defined universal threshold separating normal from abnormal. Results depend on the assays used for glucose, insulin, and C-peptide.
Population studies have proposed different cutoffs based on age, sex, ethnicity, health status, study design, percentile choice, and the outcome researchers were trying to identify. A Spanish population study, for example, reported values ranging from about 1.85 to 3.46 depending on the subgroup and criterion. Those are study-specific findings, not universal personal targets.
| Source of variation | Why it matters | Practical implication |
|---|---|---|
| Insulin assay | Different laboratory methods may not return directly comparable insulin values. | Comparing results from different labs can create a false trend. |
| Population | Age, sex, ethnicity, diagnosis, and body composition affect distributions and study thresholds. | A cutoff from one research group may not apply to another person. |
| Fasting conditions | Food, acute stress, illness, sleep, and timing can affect glucose and insulin. | The equation assumes a fasting steady state. |
| Clinical context | Diabetes, pancreatic function, pregnancy, and medications can change the relationship. | The same number can require different interpretation. |
| Model version | HOMA1's linear formula and HOMA2's computer model are not interchangeable. | Always identify which method produced the result. |
HOMA1 versus HOMA2
Do not mix the two models
The names are similar, but the calculations are different.
| Feature | HOMA1-IR approximation | HOMA2 |
|---|---|---|
| Method | Simple linear equation | Iterative structural computer model |
| Inputs | Fasting glucose and fasting insulin | Specified combinations of glucose with insulin, specific insulin, or C-peptide |
| Outputs | Approximate HOMA1-IR | HOMA2-%B, HOMA2-%S, and HOMA2-IR |
| Can this page calculate it? | Yes | No |
| Official route | Published equation | Oxford's licensed HOMA2 calculator or API |
Oxford explains that HOMA2 does not use a simple published equation. Its iterative model may return results that differ considerably from the HOMA1 linear approximation, especially at more extreme glucose and insulin values.
If a study, laboratory, or clinician reports HOMA2-IR, do not compare it directly with the HOMA1-IR number from this page unless a qualified reviewer has established that the comparison is appropriate.
Worked examples
How the equation changes
These examples demonstrate arithmetic only, not clinical categories.
Insulin 5 µIU/mL and glucose 85 mg/dL.
Insulin 15 µIU/mL and glucose 100 mg/dL.
These examples show that the output is driven by the product of both inputs. They do not prove that one person has or does not have insulin resistance, and they do not establish a treatment target.
Input quality
What counts as a usable pair?
The model assumes a fasting, relatively steady metabolic state.
Use values from the same draw
Glucose and insulin fluctuate. A fasting insulin value from Monday and a fasting glucose value from a different month did not describe the same steady state and should not be multiplied together.
Confirm the fasting instructions
Follow the fasting instructions given by the ordering clinician or laboratory. Do not invent a fasting duration based on a generic calculator page. If the sample was not fasting or you are unsure, the page can demonstrate the arithmetic but the result may not represent HOMA's intended use.
Check the insulin unit carefully
µIU/mL and mIU/L are numerically equivalent because of the way the prefixes and volume units cancel. A value in pmol/L is not the same number. Published sources and laboratory systems have used conflicting factors when moving between insulin international units and molar units, so this calculator deliberately rejects pmol/L inputs.
Use the laboratory value, not a home glucose reading
HOMA was designed around paired fasting blood measurements. Combining a laboratory insulin value with a separate finger-stick or continuous-glucose reading adds timing, specimen, and device differences that the equation does not correct.
Record specimen and assay details
Oxford notes differences between serum and plasma insulin values and recommends documenting serum use as a limitation. If you are tracking repeated results, keep the laboratory name, specimen type, assay, date, fasting duration, medication context, and both raw values.
Clinical limitations
When HOMA-IR can mislead
A simple product cannot account for every reason insulin and glucose change.
HOMA1-IR may be difficult to interpret when the fasting steady-state assumption is not reasonable or when treatment and pancreatic function alter the relationship between glucose and insulin.
- Exogenous insulin can make a measured insulin concentration different from endogenous pancreatic insulin production.
- Insulin secretagogues and insulin-sensitizing medicines can alter one or both inputs.
- Type 1 diabetes, advanced beta-cell failure, pancreatic disease, or prior pancreatic surgery can weaken the assumptions behind the index.
- Pregnancy changes insulin sensitivity and requires pregnancy-specific clinical interpretation.
- Acute illness, infection, recent surgery, steroid exposure, severe sleep loss, and major stress can affect fasting glucose and insulin.
- Marked hyperglycemia or extreme insulin values can make the linear approximation especially unreliable.
Do not stop, start, or change medication based on this result. The calculator also cannot tell whether a medication caused a particular value.
Research versus diagnosis
What HOMA-IR cannot diagnose
The index is not one of the standard diagnostic tests for prediabetes or diabetes.
NIDDK notes that testing for insulin resistance is used primarily in research studies and that healthcare professionals may not test for it routinely. Prediabetes and diabetes are evaluated with established glucose-based tests such as A1C, fasting plasma glucose, and in some settings an oral glucose tolerance test.
A HOMA1-IR result cannot by itself diagnose or exclude:
- Insulin resistance
- Prediabetes or diabetes
- Metabolic syndrome
- Polycystic ovary syndrome
- Fatty liver disease
- Cardiovascular disease
- Pancreatic beta-cell dysfunction
It also cannot predict when a condition will develop or show whether one intervention caused a change.
Following a result
Questions for your clinician
The original values and testing context matter more than a screenshot alone.
- Were my glucose and insulin collected under the fasting conditions you intended?
- Were the specimens plasma or serum, and which insulin assay did the laboratory use?
- Does this HOMA1-IR calculation add useful information in my situation?
- Are any of my medicines, supplements, diagnoses, or recent illnesses likely to affect the inputs?
- Should the raw fasting insulin or glucose be repeated before comparing a trend?
- Which established tests are more important for my clinical decisions?
- If you use a threshold, what population, assay, and outcome is that threshold based on?
Bring the full laboratory report rather than only the calculated number. You can organize dated glucose and other markers in the Metabolic Progress Tracker.
Frequently asked questions
HOMA-IR FAQ
Direct answers without a made-up universal range.
What does HOMA-IR stand for?
HOMA-IR stands for Homeostasis Model Assessment of Insulin Resistance. This page calculates the original HOMA1-IR linear approximation.
What is the HOMA-IR formula?
With glucose in mg/dL, multiply fasting insulin in µIU/mL by fasting glucose and divide by 405. With glucose in mmol/L, divide the product by 22.5.
What is a normal HOMA-IR result?
Oxford's HOMA group states there is no absolute HOMA value and no defined universal normal-abnormal threshold because results depend on the assays and context.
Why does this calculator not show a green or red range?
Published cutoffs vary by population, assay, age, sex, health status, method, and research outcome. A universal color scale would create false certainty.
Is HOMA1-IR the same as HOMA2-IR?
No. HOMA1 uses a linear approximation. HOMA2 uses Oxford's iterative computer model and may produce materially different results.
Can I calculate HOMA2-IR with a simple formula?
No. Oxford states there is no linear approximation for HOMA2. Use the official licensed model in an appropriate professional or research context.
Do glucose and insulin need to come from the same draw?
Yes for the intended use. The model estimates a fasting steady state, so combining values from different draws or dates undermines that assumption.
Do I need to be fasting?
HOMA is a fasting steady-state model. Follow the specific fasting instructions from the ordering clinician or laboratory.
Can I use a finger-stick glucose value?
That is not the intended method. Use glucose and insulin from the same fasting laboratory draw.
Are µIU/mL and mIU/L the same for insulin?
They are numerically equivalent. A value of 10 µIU/mL equals 10 mIU/L. pmol/L is different and should not be entered without assay-appropriate conversion.
Can I convert insulin from pmol/L by dividing by 6?
A peer-reviewed review supports 6.00 pmol/L per µIU/mL for human insulin, but published laboratory systems have also used 6.945 and insulin assays remain incompletely standardized. This calculator cannot determine the convention behind your report, so ask the laboratory or ordering clinician for an international-unit result.
Can HOMA-IR diagnose insulin resistance?
Not by itself. NIDDK notes insulin-resistance testing is used mainly in research, and Oxford states there is no universal diagnostic threshold.
Can HOMA-IR diagnose prediabetes or diabetes?
No. Established glucose-based tests are used for diagnosis. A HOMA1-IR result does not replace A1C, fasting plasma glucose, or an oral glucose tolerance test when ordered.
Can medication affect HOMA-IR?
Yes. Medicines that affect insulin secretion, insulin sensitivity, glucose, or measured insulin can change the inputs and interpretation. Do not change medication because of this calculation.
Does injected insulin affect the result?
It can. A measured insulin value may include or be influenced by exogenous insulin depending on the product and assay, while HOMA assumptions concern endogenous physiology.
Can I compare HOMA-IR values from two laboratories?
Use caution. Insulin assays are a major source of variation. A difference may reflect the assay or specimen method rather than a biological change.
Should I repeat the test?
That is a clinical decision. If a repeat is useful, matching the laboratory, assay, fasting conditions, timing, health state, and medication context improves comparability.
Does a lower result always mean better health?
No. A low product can also occur when insulin secretion is impaired. The index cannot determine overall health or pancreatic function by itself.
Can this calculator estimate beta-cell function?
No. It calculates only HOMA1-IR. It does not calculate HOMA-%B, HOMA-%S, C-peptide indices, or HOMA2 outputs.
What should I save with the result?
Save the date, fasting duration, raw glucose, raw insulin, units, laboratory, specimen type, assay information if available, medicines, and relevant illness context.
Continue exploring
Related MCL tools
Compare different indirect views of glucose and metabolic patterns.
Sources
Primary guidance and research
The model, limitations, and interpretation policy are sourced directly.
- Matthews DR, et al. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412-419. doi:10.1007/BF00280883.
- Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27(6):1487-1495.
- University of Oxford Diabetes Trials Unit. HOMA Calculator Frequently Asked Questions. Formula, HOMA2, assay, specimen, input, and threshold guidance.
- University of Oxford Radcliffe Department of Medicine. HOMA Calculator.
- National Institute of Diabetes and Digestive and Kidney Diseases. Insulin Resistance and Prediabetes.
- Gayoso-Diz P, et al. Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population. BMC Endocrine Disorders. 2013;13:47.
- Knopp JL, Holder-Pearson L, Chase JG. Insulin Units and Conversion Factors: A Story of Truth, Boots, and Faster Half-Truths. Journal of Diabetes Science and Technology. 2019;13(3):597-600.
Evidence checked August 13, 2026. Clinical review required before publication.