Audited 29 Jul 2026·Last updated 28 Oct 2026·6 citations·Tier 1·0 uses

HOMA-IR Calculator

HOMA1-IR and insulin sensitivity (%S) from fasting glucose and insulin. There is no universal normal value, so compare with your own lab's cut-off.

HOMA-IR Calculator

After 8+ hours without food
Glucose unit
µU/mL, also written mIU/L — not pmol/L
No universal value exists — use your own lab's
HOMA1-IR
1.7762
Fasting insulin (µU/mL) times fasting glucose (mmol/L) divided by 22.5: a unitless index on which the model's reference adult scores 1. There is no universal normal value, so compare it only with ranges from the same laboratory and assay.
HOMA1-%S (sensitivity)
56.2988%
Fasting glucose (mmol/L)
4.9957
Fasting glucose (mg/dL)
90
Your cut-off
2.05
Margin to your cut-off
-0.2738
Vs your cut-off
Below your cut-off

Background.

Ask whether a HOMA-IR of 2.8 is normal and you run into a refusal from the people best placed to answer. The Diabetes Trials Unit at the University of Oxford, which looks after the homeostasis model, says there is no universal normal value for HOMA indices: results depend on the particular glucose and insulin assays a laboratory uses, and for that reason no thresholds for normal and abnormal have been defined. Every "normal range" quoted online belongs to somebody's study population, measured on somebody's insulin assay, under somebody's definition of metabolic syndrome.

What the index does capture is a real physiological pattern. When muscle, liver and fat respond less readily to insulin, the pancreas compensates by releasing more of it, and for a long time fasting glucose can stay where it was. A glucose result on its own misses that phase entirely. Put the fasting insulin beside it and the compensation becomes visible: the same glucose held in place by twice the insulin describes a body working twice as hard to keep it there.

David Matthews and colleagues at Oxford turned that idea into arithmetic in 1985. Their linear approximation, now called HOMA1, multiplies fasting insulin in µU/mL by fasting glucose in mmol/L and divides by 22.5, a constant chosen so that their reference adult scores exactly 1. Against the glucose clamp, the laborious reference method for measuring insulin sensitivity, the estimate correlated at Rs = 0.88 — yet the same paper warned that a coefficient of variation of 31% limits what it can say about one person.

Those two facts shape the calculator. It reports HOMA1-IR and its reciprocal, HOMA1-%S. It compares your result with a cut-off you choose, pre-filled with 2.05, one Spanish population study's value for non-diabetic men rather than any standard. It converts mg/dL using the exact molar mass of glucose. And it diagnoses nothing: HOMA-IR is a research measure that can prompt a conversation with a clinician and can follow change over time in one laboratory, supporting clinical judgement rather than replacing it.

What is homa-ir calculator?

HOMA-IR, the homeostasis model assessment of insulin resistance, is a single number built from a fasting glucose and a fasting insulin taken from the same blood draw. The model treats the pair as the resting balance point of a feedback loop — glucose prompting the pancreas to secrete insulin, insulin restraining the liver's release of glucose — and reads the position of that balance point as a measure of how resistant the body is to insulin's action. HOMA1-IR is the 1985 linear shortcut to the model; HOMA2, a computer model the same Oxford group released in 1998, solves the physiology numerically and gives different values. The companion HOMA1-%S expresses the same information as sensitivity, a percentage of the model's normal reference population, and equals 100 divided by HOMA1-IR. Neither is a diagnostic criterion for any condition.

How to use this calculator.

  1. Use glucose and insulin from the same fasting sample, drawn after at least eight hours without food or caloric drinks. A glucose from one visit paired with an insulin from another does not describe a single balance point.
  2. Enter the glucose and pick its unit. Switching the unit converts whatever is already in the box — 90 mg/dL becomes 4.9957 mmol/L — so if you typed the number first and then realised the unit was wrong, re-enter the figure from your report.
  3. Enter fasting insulin in µU/mL; a report that says mIU/L means the same number. If yours gives pmol/L, ask the laboratory for the µU/mL value or for its own conversion factor rather than using one found online.
  4. Replace the 2.05 cut-off with the threshold your laboratory, clinician or study protocol uses. If you have none, keep the default but give the comparison little weight.
  5. Read HOMA1-IR first, then the margin to your cut-off. A margin smaller than about 31% of the result sits inside the scatter the model's authors reported for a single measurement.
  6. Take the index, both raw results and the laboratory's reference ranges to your clinician. One HOMA-IR is a reason to talk and perhaps repeat the test, not a diagnosis.

The formula.

HOMA1-IR = ( I₀ × G₀ ) ⁄ 22.5

HOMA1-IR = (I₀ × G₀) ÷ 22.5, where I₀ is fasting insulin in µU/mL and G₀ is fasting glucose in mmol/L. Oxford's HOMA FAQ gives the equation in exactly this form, and the EPIRCE investigators state the same expression, with the same units, independently. The divisor is the product of a reference fasting insulin of 5 µU/mL and a reference fasting glucose of 4.5 mmol/L, so a person at that reference point scores 1.0 and any result reads as a multiple of the reference.

Because the two measurements multiply, they trade off proportionally: a 20% rise in insulin moves the index exactly as far as a 20% rise in glucose. In practice fasting insulin varies far more from person to person than fasting glucose does, so the insulin result is usually what separates a high HOMA-IR from a low one.

Glucose entered in mg/dL is first divided by 18.0156, the number of mg/dL in one mmol/L of glucose. That factor follows from the molar mass of glucose, 180.156 g/mol, calculated from IUPAC's 2023 standard atomic weights for carbon, hydrogen and oxygen. Many sources give a mg/dL shortcut instead, insulin × glucose ÷ 405; since 405 is 22.5 × 18, the shortcut rounds the conversion factor to 18. At 90 mg/dL and 8 µU/mL the exact route gives 1.7762 and the shortcut 1.7778, a gap of under a tenth of a percent that explains small disagreements between tools and never changes an interpretation.

HOMA1-%S = 100 ÷ HOMA1-IR. The reciprocal is steep at the low end and flat at the high end: moving from 1 to 2 halves sensitivity from 100% to 50%, while moving from 4 to 5 takes it only from 25% to 20%. The margin is HOMA1-IR minus your cut-off, and the position line says "at or above" whenever the index equals or exceeds that cut-off. Glucose above 40 mmol/L (about 720 mg/dL) or insulin above 1,000 µU/mL is refused: such values lie far outside the fasting state the model describes, and an insulin that high usually means a pmol/L figure typed into the µU/mL field.

A worked example.

Example

A fasting panel reports glucose of 5.6 mmol/L and insulin of 15 µU/mL, and the default cut-off of 2.05 is left in place. The glucose is already in the model's unit, so it goes straight into the equation: 15 × 5.6 = 84, and 84 ÷ 22.5 = 3.7333. Anyone reading the report in conventional units would see 5.6 × 18.0156 = 100.89 mg/dL. Sensitivity is 100 ÷ 3.7333 = 26.79%, a little over a quarter of the model's reference. The margin is 3.7333 − 2.05 = 1.6833, so the position reads "At or above your cut-off". Most of that result comes from the insulin. With the same glucose and the reference insulin of 5 µU/mL the index would be 5 × 5.6 ÷ 22.5 = 1.2444, and at this glucose it takes about 8.24 µU/mL of insulin to reach 2.05. Allowing the model's 31% coefficient of variation either side, a single 3.73 is consistent with a true value of roughly 2.6 to 4.9 — all of it above the cut-off, which makes this a result worth repeating and discussing with a clinician rather than a diagnosis of anything.

glucose Unitmmol/L
reference Cutoff2.05
fasting Insulin15
fasting Glucose5.6

Frequently asked questions.

What counts as a normal HOMA-IR?
No figure holds everywhere. Oxford's Diabetes Trials Unit, which maintains the model, says HOMA values depend on the glucose and insulin assays used and that no thresholds for normal versus abnormal have been defined. Insulin immunoassays are calibrated differently and react differently with proinsulin, so the same blood can give noticeably different results in two laboratories. Published cut-offs therefore belong to the population, assay and definition that produced them. If your laboratory prints its own reference range for HOMA-IR, that is the range to compare against.
Where does the default cut-off of 2.05 come from?
From the EPIRCE study, a cross-sectional survey of 2,459 Spanish adults published in BMC Endocrine Disorders in 2013. Under the International Diabetes Federation definition of metabolic syndrome, the optimal HOMA-IR cut-off for non-diabetic men was 2.05; under the ATPIII definition it was 1.85. For women it shifted with age — 2.31 at 30, 2.07 at 50 and 2.47 at 70 — and a 90th-percentile rule gave 3.46. The authors noted that every value fell between the 70th and 75th percentiles of their population, and that cut-offs differ with ethnicity, measurement method and metabolic condition.
My report gives insulin in pmol/L. What should I enter?
Ask the laboratory for the µU/mL (mIU/L) figure, or for the conversion factor it uses itself. More than one factor circulates, because the relationship between the two units depends on the reference standard the assay was calibrated against, which is why the calculator has no pmol/L option. A pmol/L number typed straight into the µU/mL field inflates the result several-fold; values above 1,000 are refused partly because they usually signal exactly that slip.
Is HOMA1-IR the same as HOMA2-IR?
No. HOMA1 is the 1985 approximation computed here. HOMA2 is a computer model the Oxford group released in 1998 that solves the underlying physiology numerically, allowing for factors such as renal glucose loss and the proinsulin content of insulin assays, and Oxford itself describes the HOMA1 formulae as only linear approximations. The two give different numbers for the same blood, so a HOMA1 result cannot be judged against a HOMA2 threshold. When you read a study, check which model it used before holding your result against its figures.
Why does another calculator give me a slightly different number?
Usually because it uses the mg/dL shortcut of dividing by 405. That shortcut converts glucose with a factor of 18 instead of 18.0156, so at 90 mg/dL and 8 µU/mL it returns 1.7778 where this calculator returns 1.7762 — a difference in the third decimal place and nothing more. A larger disagreement usually means the other tool reports HOMA2 rather than HOMA1, or that one of the inputs went in under the wrong unit.
How precise is a single HOMA-IR result?
Less precise than its decimals suggest. Matthews and colleagues found their estimate tracked the euglycaemic clamp closely across a group (Rs = 0.88), but they also reported coefficients of variation of 31% for insulin resistance and 32% for beta-cell function and wrote that this low precision limits the model's use. Taking 31% either side, a measured 2.4 is consistent with anything from about 1.7 to 3.1. Small gaps between two results, or between a result and a cut-off, sit within that scatter; a doubling that persists across repeat tests does not.
Can HOMA-IR be used if I take insulin?
Not meaningfully. The 1985 paper rests on the premise that fasting glucose and insulin settle where they do because of a feedback loop between them — glucose stimulating the pancreas, insulin holding glucose down. Injected insulin enters from outside that loop, so the fasting insulin no longer shows what the pancreas is producing in response to glucose, and some insulin assays also cross-react with insulin analogues. Anyone on insulin treatment should ask their care team about other ways of assessing insulin resistance.
Does a high HOMA-IR mean I have prediabetes or diabetes?
No. Diabetes and prediabetes are diagnosed from glucose measurements and HbA1c, and HOMA-IR is not among the diagnostic criteria. What a high value can reveal is the compensated pattern that often comes first: a normal-looking glucose held there by a lot of insulin. That makes it a reasonable prompt for a wider look at metabolic health with a clinician, and for repeating the test, but deciding what the result means for you rests with the clinician who knows your full history.
Why is beta-cell function (HOMA-%B) not shown?
The 1985 paper derived a beta-cell function index alongside the resistance index, but this calculator reports only the resistance side: HOMA1-IR and its reciprocal, %S. Oxford's public FAQ states the HOMA1 equation for insulin resistance, and that is the equation used here. If you need beta-cell function, Oxford's HOMA2 calculator reports %B together with %S and IR, though its values come from the newer model and will not line up with HOMA1 figures.
Can I use HOMA-IR to track change over time?
That is where it earns its keep. When the same laboratory measures both values with the same assays after the same length of fast, much of the assay dependence that makes cross-laboratory comparison unreliable cancels out. Even then, judge the trend rather than a single step: with roughly 31% scatter per measurement, a fall from 3.7 to 3.0 could be noise, while a fall from 3.7 to 1.8 that holds across two or three tests is far more likely to be real.

References& sources.

  1. [1]Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. "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. Original model. Source of the feedback-loop premise, the clamp correlation Rs = 0.88, and the authors' own precision caveat (coefficients of variation 31% for insulin resistance and 32% for beta-cell deficit). Abstract open on PubMed (PMID 3899825); full text paywalled. Retrieved 29 July 2026.
  2. [2]University of Oxford, Radcliffe Department of Medicine, Diabetes Trials Unit. "HOMA — Frequently Asked Questions." The custodians of HOMA. Source of the equation 'HOMA1_IR = (FPI x FPG)/22.5', of the statement that HOMA1 formulae provide 'only linear approximations of HOMA_%B and HOMA_IR, the inverse of HOMA_%S', and of the key scope limit: 'There is no absolute value for HOMA indices. These will depend on the specific assays used for glucose, insulin and C-peptide. Because of this, there are no defined thresholds for normal vs. abnormal values.' Retrieved 29 July 2026.
  3. [3]University of Oxford, Radcliffe Department of Medicine, Diabetes Trials Unit. "HOMA Calculator" overview page: "The Homeostasis Model Assessment (HOMA) estimates steady state beta cell function (%B) and insulin sensitivity (%S), as percentages of a normal reference population." Source of the definition of %S as a percentage of a normal reference population. Retrieved 29 July 2026.
  4. [4]Gayoso-Diz P, Otero-González A, Rodriguez-Alvarez MX, Gude F, García F, De Francisco A, Quintela AG. "Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population: effect of gender and age: EPIRCE cross-sectional study." BMC Endocrine Disorders. 2013;13:47. doi:10.1186/1472-6823-13-47. Independent statement of the equation and units ('fasting serum insulin (μU/ml) × fasting plasma glucose (mmol l⁻¹)/22.5'); source of the population cut-offs quoted on this page (men 1.85 ATPIII / 2.05 IDF; women 2.31 at 30, 2.07 at 50, 2.47 at 70; 3.46 at the 90th percentile) from 2,459 Spanish adults, and of the statement that cut-offs 'are different according to ethnicity, clinical methods of estimation, and metabolic conditions'. Open access; retrieved 29 July 2026.
  5. [5]Wallace TM, Levy JC, Matthews DR. "Use and abuse of HOMA modeling." Diabetes Care. 2004;27(6):1487-1495. doi:10.2337/diacare.27.6.1487. The standard review of appropriate and inappropriate uses of HOMA, and of the relationship between the 1985 approximation formulae and the later computer model. Publisher full text paywalled; open bibliographic record with abstract at Oxford University Research Archive, retrieved 29 July 2026. Cited for the HOMA1/HOMA2 distinction only.
  6. [6]International Union of Pure and Applied Chemistry, Commission on Isotopic Abundances and Atomic Weights. Standard atomic weights, 2023 abridged table: C = 12.011, H = 1.0080, O = 15.999. Used to derive the glucose molar mass 180.156 g/mol and hence the exact mg/dL-to-mmol/L factor of 18.0156 that this calculator uses in place of the rounded 18 embedded in the conventional 405 divisor. Retrieved 29 July 2026.

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HOMA1-IR = ( I₀ × G₀ ) ⁄ 22.5
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