How to calculate HOMA-IR from fasting insulin and glucose
Updated October 31, 2026 · 17 sources · Written by the AumniVIDA team
UnitsShort answer
HOMA-IR equals fasting glucose in mg/dL times fasting insulin in µIU/mL, divided by 405. With glucose in mmol/L, divide by 22.5 instead. For example, 90 mg/dL and 10 µIU/mL give 2.2. Published insulin resistance cut points range from about 1.8 to 3.8 and depend on the assay.
HOMA-IR worked example
HOMA-IR = glucose x insulin / 405 with glucose in mg/dL, or / 22.5 with glucose in mmol/L
- Glucose
- Fasting glucose
- 90 mg/dL (5.0 mmol/L)5.0 mmol/L (90 mg/dL)
- Insulin
- Fasting insulin in µIU/mL; divide pmol/L by 6.0 first
- 10 µIU/mL (60 pmol/L)60 pmol/L (10 µIU/mL)
- US units
- 90 x 10 = 900, then 900 / 405
- 2.22
- SI units
- 5.0 x 10 = 50, then 50 / 22.5
- 2.22
Formula from Matthews 1985. Cut points depend on the insulin assay and population; none is a validated target.
Key takeaways
What is the HOMA-IR formula?
HOMA-IR = fasting glucose (mg/dL) x fasting insulin (µIU/mL) / 405. In SI units, HOMA-IR = fasting glucose (mmol/L) x fasting insulin (µIU/mL) / 22.5. Both give the same number.
HOMA stands for homeostasis model assessment. Matthews and colleagues introduced it in 1985 to estimate insulin resistance and beta cell function from a single fasting glucose and insulin pair [1].
- US units: HOMA-IR = glucose (mg/dL) x insulin (µIU/mL) / 405
- SI units: HOMA-IR = glucose (mmol/L) x insulin (µIU/mL) / 22.5
The 405 is simply 22.5 x 18, because 1 mmol/L of glucose equals about 18 mg/dL. Insulin must be in µIU/mL (the same as mU/L) in both formulas. If your lab reports pmol/L, divide by 6.0 first; some labs convert with 6.945 instead, which changes the result by about 15% [2].
These simple formulas are the original 1985 approximation. The HOMA developers later released a computer model, HOMA2, and stated that it gives the correct estimate [6]. HOMA2 values are not interchangeable with the simple formula, so use one method consistently.
How do you calculate HOMA-IR? A worked example
Take a fasting glucose of 90 mg/dL (5.0 mmol/L)5.0 mmol/L (90 mg/dL) and fasting insulin of 10 µIU/mL. In US units, 90 x 10 / 405 = 2.2. In SI units, 5.0 x 10 / 22.5 = 2.2.
Step 1. Check your insulin unit. Suppose your report shows 60 pmol/L. Divide by 6.0: 60 / 6.0 = 10 µIU/mL [2].
Step 2. Multiply glucose by insulin. 90 mg/dL x 10 = 900. Or 5.0 mmol/L x 10 = 50.
Step 3. Divide. 900 / 405 = 2.22. Or 50 / 22.5 = 2.22.
Step 4. Read it in context. A HOMA-IR of 2.2 is below the Japanese reference limit of 2.5 [7] and the Spanish 75th percentile of 2.6 [8], but above the 1.775 cut point used in Iran [3] and the 2.05 metabolic syndrome cut point in Spain [9]. That spread is why a single HOMA-IR number has no universal label.
A second example: glucose 100 mg/dL and insulin 20 µIU/mL gives 100 x 20 / 405 = 4.9, above almost every published cut point except the stand-alone 5.9 threshold from clamp studies [10].
HOMA-IR lookup table
Find your fasting glucose in the left column and your fasting insulin across the top. Values are calculated with the 1985 formula and rounded to one decimal.
The table shows why insulin usually drives HOMA-IR in people without diabetes. Moving from 80 to 110 mg/dL of glucose raises HOMA-IR by about a third, while doubling insulin doubles it.
The row for 125 mg/dL is the top of the ADA prediabetes range; 126 mg/dL or higher meets the fasting glucose criterion for diabetes [11]. In diabetes, HOMA-IR becomes harder to interpret because beta cell output is failing, and different cut points apply [3].
| Fasting glucose | Insulin 5 µIU/mL (30 pmol/L) | 10 µIU/mL (60 pmol/L) | 15 µIU/mL (90 pmol/L) | 20 µIU/mL (120 pmol/L) | 25 µIU/mL (150 pmol/L) |
|---|---|---|---|---|---|
| 80 mg/dL (4.4 mmol/L)4.4 mmol/L (80 mg/dL) | 1.0 | 2.0 | 3.0 | 4.0 | 4.9 |
| 90 mg/dL (5.0 mmol/L)5.0 mmol/L (90 mg/dL) | 1.1 | 2.2 | 3.3 | 4.4 | 5.6 |
| 100 mg/dL (5.6 mmol/L)5.6 mmol/L (100 mg/dL) | 1.2 | 2.5 | 3.7 | 4.9 | 6.2 |
| 110 mg/dL (6.1 mmol/L)6.1 mmol/L (110 mg/dL) | 1.4 | 2.7 | 4.1 | 5.4 | 6.8 |
| 125 mg/dL (6.9 mmol/L)6.9 mmol/L (125 mg/dL) | 1.5 | 3.1 | 4.6 | 6.2 | 7.7 |
What HOMA-IR is considered insulin resistant?
There is no single cut point. Studies report thresholds from 1.775 in Iranian adults to 2.5 in Japan, 2.6 in Spain, 3.8 in Mexican Americans and 5.9 against clamp tests. Many clinicians treat values above about 2.5 as worth a closer look.
The differences come from three sources: who was studied, what the cut point was anchored to (a percentile, metabolic syndrome or a clamp test) and which insulin assay the lab used [12].
The Mexican American study found that 39.1% of adults were above its 3.80 cut point and noted that its result was very different from the popular clinical cut-off of 2.60 [4]. In Spain, the threshold also varied with age in women without diabetes [9].
For a person, the practical reading is relative: a value well above 3 on a standard assay usually means insulin resistance is likely, a value below about 1.8 makes it unlikely, and values in between depend on context such as waist size, triglycerides, HDL and family history.
| Study | Population | Method | Cut point |
|---|---|---|---|
| Esteghamati 2010 | 3,071 Iranian adults without diabetes | Best predictor of metabolic syndrome | 1.775 |
| Gayoso-Diz 2013 | 2,459 Spanish adults | Metabolic syndrome; 90th percentile | 2.05 (1.85 in men); 3.46 |
| Yamada 2011 | 2,153 healthy Japanese adults | CLSI reference interval | 0.4 to 2.4; 2.5 or higher flags IR |
| Ascaso 2003 | 65 Spanish adults, normal glucose | 75th percentile | 2.6 |
| Tam 2012 | US adults with clamp studies | Classification tree vs clamp | Above 5.9, or 2.8 to 5.9 with HDL below 51 mg/dL |
| Qu 2011 | 1,854 Mexican American adults | Machine learning clustering | 3.80 |
HOMA-IR cut points reported in different populations
- Below every published cut point shown
- 0 to 1.78
- Above some cut points, below others
- 1.78 to 2.6
- Above most cut points
- 2.6 to 3.8
- Above all population cut points shown
- 3.8 to 6.5
- 1.78 HOMA-IR (no unit): Iran, metabolic syndrome
- 1.85 HOMA-IR (no unit): Spanish men without diabetes
- 2.05 HOMA-IR (no unit): Spain, metabolic syndrome
- 2.5 HOMA-IR (no unit): Japan, reference interval limit
- 2.6 HOMA-IR (no unit): Spain, 75th percentile
- 2.8 HOMA-IR (no unit): US clamp study, with low HDL
- 3.46 HOMA-IR (no unit): Spain, 90th percentile
- 3.8 HOMA-IR (no unit): Mexican Americans
- 5.9 HOMA-IR (no unit): US clamp study, alone
What are the limits of HOMA-IR?
HOMA-IR works well for comparing groups but is imprecise for one person, with a coefficient of variation of about 31% in the original study. It inherits all the variability of insulin assays and is less useful in diabetes or in people treated with insulin.
- Imprecise for individuals. The original paper found HOMA-IR correlated with the clamp (Rs 0.88) but had a coefficient of variation of 31% [1]. A later study confirmed a strong group-level correlation (r = -0.82) and judged HOMA suitable for large studies [5].
- Insulin assay dependence. Assays disagree by a median of 24% [12], so the same blood can produce different HOMA-IR values on different labs.
- Single-sample noise. Fasting insulin can vary 25% to 50% between samples [13].
- Formula versions. The simple formula and the HOMA2 computer model give different numbers [6]. The developers warn that HOMA needs robust input data and careful interpretation [14].
- Not for insulin users. Injected insulin and insulin antibodies distort the insulin value [15].
- Not a diagnosis. HOMA-IR is not a diagnostic criterion in the ADA Standards of Care [11].
The reference method is the hyperinsulinemic euglycemic clamp, which is used in research rather than routine care [16].
More about Fasting insulin
- Fasting insulin: the full guideFasting insulin is the level of insulin in your blood after at least 8 hours without food.
- Fasting insulin test: why it is done and how to prepareA fasting insulin test is a blood test taken after at least 8 hours without food.
- What is a good fasting insulin level?Lab normal ranges for fasting insulin are wide, such as 2.6 to 24.9 µIU/mL (16 to 149 pmol/L).
- How to lower fasting insulinWeight loss lowers fasting insulin the most: in one trial it fell about 15% at 5% weight loss and about 48% at 16%.
- Why is my fasting insulin low?A low fasting insulin with normal glucose usually means your cells are sensitive to insulin, common in lean, active people.
Protocols that act on Fasting insulin
- Low-glycemic dietA low-glycemic diet favors carbohydrate foods that raise blood sugar slowly, rated by the glycemic index (GI): 55 or less is low and 70 or more is high.
- Time-restricted eatingTime-restricted eating means eating all of the day's food and caloric drinks within a consistent daily window, usually 6 to 10 hours, and fasting the rest of the day.
- Ketogenic dietA ketogenic diet keeps carbohydrate under about 20 to 50 g a day so the body burns fat and makes ketones, defined in supervised programs as blood BHB of 0.5 to 3.0 mmol/L.
- Zone 2 cardioZone 2 cardio is steady aerobic exercise held just below the first lactate threshold, where blood lactate stays near 2 mmol/L and you can still talk in full sentences.
Common questions
Can I calculate HOMA-IR with insulin in pmol/L?
Convert first: divide pmol/L by 6.0 to get µIU/mL, then use the formula [2]. Some labs use 6.945, which changes the result by about 15%.
What is the difference between fasting insulin and HOMA-IR?
Fasting insulin is one measurement. HOMA-IR combines it with fasting glucose, and in a meta-analysis HOMA-IR predicted coronary heart disease better than either marker alone [17].
Is a HOMA-IR of 2 good?
What is the fasting glucose to insulin ratio?
It is an older index that divides glucose by insulin. HOMA-IR and related indices are more widely validated against clamp studies [5].
Is HOMA2 better than HOMA-IR?
The HOMA developers recommend the HOMA2 computer model as the correct evaluation [6]. Its values differ from the simple formula, so do not mix the two.
Sources
- 1.Matthews DR, Hosker JP, Rudenski AS, et al. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 1985. doi:10.1007/BF00280883
- 2.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. doi:10.1177/1932296818805074
- 3.Esteghamati A, Ashraf H, Khalilzadeh O, et al. Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Nutrition & Metabolism, 2010. doi:10.1186/1743-7075-7-26
- 4.Qu HQ, Li Q, Rentfro AR, Fisher-Hoch SP, McCormick JB. The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning. PLoS One, 2011. doi:10.1371/journal.pone.0021041
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- 7.Yamada C, Mitsuhashi T, Hiratsuka N, et al. Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. Journal of Diabetes Investigation, 2011. doi:10.1111/j.2040-1124.2011.00113.x
- 8.Ascaso JF, Pardo S, Real JT, et al. Diagnosing insulin resistance by simple quantitative methods in subjects with normal glucose metabolism. Diabetes Care, 2003. doi:10.2337/diacare.26.12.3320
- 9.Gayoso-Diz P, Otero-González A, Rodriguez-Alvarez MX, et al. 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. doi:10.1186/1472-6823-13-47
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- 11.American Diabetes Association Professional Practice Committee. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2026. Diabetes Care, 2026. doi:10.2337/dc26-S002
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- 13.Crofts C, Zinn C, Wheldon M, Schofield G. Hyperinsulinemia: A unifying theory of chronic disease?. Diabesity, 2015. doi:10.15562/diabesity.2015.19
- 14.Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care, 2004. doi:10.2337/diacare.27.6.1487
- 15.Labcorp. Insulin (test 004333). Labcorp test menu, 2026. Link
- 16.DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. American Journal of Physiology, 1979. doi:10.1152/ajpendo.1979.237.3.E214
- 17.Gast KB, Tjeerdema N, Stijnen T, Smit JW, Dekkers OM. Insulin resistance and risk of incident cardiovascular events in adults without diabetes: meta-analysis. PLoS One, 2012. doi:10.1371/journal.pone.0052036