AumniVIDA

HbA1c to average glucose: conversion chart

Updated October 31, 2026 · 10 sources · Written by the AumniVIDA team

Units

Short answer

Estimated average glucose (eAG) in mg/dL equals 28.7 x A1c minus 46.7, from the ADAG study of 507 people. An A1c of 6% is about 126 mg/dL (7.0 mmol/L)7.0 mmol/L (126 mg/dL), 7% about 154 mg/dL (8.6 mmol/L)8.6 mmol/L (154 mg/dL) and 8% about 183 mg/dL (10.2 mmol/L)10.2 mmol/L (183 mg/dL). Individual averages vary widely around each estimate .

Estimated average glucose for each HbA1c, with ADAG 95% limits

Show the data
Estimated average glucose for each HbA1c, with ADAG 95% limits
ItemValue (mg/dL estimated average glucose)LowHighNote
A1c 5%9776120
A1c 6%126100152
A1c 7%154123185
A1c 8%183147217
A1c 9%212170249
A1c 10%240193282
A1c 11%269217314
A1c 12%298240347
Each HbA1c maps to a central average glucose, but the 95% range is wide: at 7%, true averages ran from 123 to 185 mg/dL.

Key takeaways

  1. 1

    eAG (mg/dL) = 28.7 x A1c minus 46.7; eAG (mmol/L) = 1.5944 x A1c minus 2.594 [1].

  2. 2

    The formula explained 84% of the variation in average glucose (R squared 0.84) [1].

  3. 3

    At an A1c of 7%, 95% of true averages fell between 123 and 185 mg/dL [1].

  4. 4

    GMI estimates A1c from CGM: 3.31 + 0.02392 x mean glucose in mg/dL; it can differ from lab A1c by 0.5 points or more [2] [3].

How do you convert A1c to average glucose?

Multiply your A1c by 28.7 and subtract 46.7 to get estimated average glucose in mg/dL, or multiply by 1.5944 and subtract 2.594 for mmol/L. This is the ADAG regression, and the table gives each value with its 95% range [1].

Worked example: an A1c of 6.5% gives 28.7 x 6.5 minus 46.7, or about 140 mg/dL (7.8 mmol/L)7.8 mmol/L (140 mg/dL). An A1c of 5.7% gives about 117 mg/dL (6.5 mmol/L)6.5 mmol/L (117 mg/dL) [1].

The HbA1c chart lists every value from 4% to 14%, including mmol/mol. Remember that the published ADAG table covered 5% to 12% [1].

HbA1c to estimated average glucose with ADAG 95% ranges [1]
A1c (%)eAG (mg/dL)95% range (mg/dL)eAG (mmol/L)95% range (mmol/L)
59776 to 1205.44.2 to 6.7
6126100 to 1527.05.5 to 8.5
7154123 to 1858.66.8 to 10.3
8183147 to 21710.28.1 to 12.1
9212170 to 24911.89.4 to 13.9
10240193 to 28213.410.7 to 15.7
11269217 to 31414.912.0 to 17.5
12298240 to 34716.513.3 to 19.3

What was the ADAG study?

The A1c-Derived Average Glucose (ADAG) study measured glucose about 2,700 times per person over 3 months in 507 people with type 1, type 2 or no diabetes at 10 international centers, then compared it with a central lab A1c. The linear fit had R squared 0.84 [1].

Participants combined at least 2 days of CGM every month with seven-point finger-stick profiles at least 3 days a week. The group included 268 people with type 1 diabetes, 159 with type 2 and 80 without diabetes [1].

The regression did not differ significantly by age, sex, diabetes type, race or ethnicity, or smoking, which is why one formula is used for most people. People with known sickle cell trait or anemia were excluded before the analysis, so the formula does not cover them [1].

Before ADAG, A1c was reported only as a percentage that many patients found hard to relate to their meter readings. The study was designed so that labs and clinicians could report A1c in the same units people see on a glucose meter. It also checked that the relationship held across continents, with centers in North America, Europe, Africa and Asia [1].

Separate regressions using only CGM data (28.0 x A1c minus 36.9) or only finger-stick profiles (29.1 x A1c minus 50.7) gave similar results, which supports the combined formula [1].

How accurate is the A1c to average glucose formula?

It is accurate for groups and approximate for individuals. The standard error of the prediction was 15.7 mg/dL overall, rising from 13.4 mg/dL at an A1c of 6% to 18.0 mg/dL at 8%, so two people with the same A1c can differ by 60 mg/dL or more in true average glucose [1].

Picture the ADAG scatter as a cloud around a straight line. The line gives the central estimate; the cloud widens as A1c rises. At 7%, the 95% range of true averages ran from 123 to 185 mg/dL, and at 9% from 170 to 249 mg/dL [1].

Much of that spread comes from biology, not error. Red cells live for different lengths of time in different people, and longer-lived cells collect more glucose at the same average [4] [5].

Estimated average glucose for each HbA1c, with ADAG 95% limits

Show the data
Estimated average glucose for each HbA1c, with ADAG 95% limits
ItemValue (mg/dL estimated average glucose)LowHighNote
A1c 5%9776120
A1c 6%126100152
A1c 7%154123185
A1c 8%183147217
A1c 9%212170249
A1c 10%240193282
A1c 11%269217314
A1c 12%298240347
Each HbA1c maps to a central average glucose, but the 95% range is wide: at 7%, true averages ran from 123 to 185 mg/dL.

What is GMI and how is it different from A1c?

GMI, the glucose management indicator, converts CGM mean glucose into an estimated A1c: GMI (%) = 3.31 + 0.02392 x mean glucose in mg/dL. It often differs from a lab A1c, by 0.4 points or more in 71% of people without diabetes in one study [2] [3].

The formula was renamed from estimated A1c in 2018 to make clear it is a different measure, not a prediction of the lab test [2]. In people without diabetes, GMI ran 0.59 points higher than lab HbA1c on average [3].

A consistent gap between your GMI and lab A1c is common and usually reflects your red cell biology. Many clinicians use CGM metrics such as time in range alongside A1c rather than instead of it [6] [7].

When does the A1c to glucose conversion not apply?

The conversion does not apply well when red cell lifespan or hemoglobin is unusual: anemia, iron deficiency, recent blood loss or transfusion, hemoglobin variants, pregnancy and advanced kidney disease. ADAG excluded people with sickle cell trait and anemia [1] [8].

In these cases, measured glucose from a meter or CGM is a better guide to average glucose than any number derived from A1c [7] [9]. See when HbA1c can be misleading for the full list with effect sizes.

How do you calculate A1c from average glucose?

Rearrange the ADAG formula: A1c (%) = (average glucose in mg/dL + 46.7) / 28.7. An average of 120 mg/dL corresponds to about 5.8%, 140 mg/dL to about 6.5% and 150 mg/dL to about 6.9% [1].

This reverse calculation uses the same regression as eAG. For CGM users, GMI is the purpose-built version of this estimate, with a slightly different formula [2].

The result is only as good as the average you put in. An average from a few finger-stick checks, mostly taken before meals, will underestimate true average glucose and so underestimate A1c. A CGM average over at least 2 weeks is the closest practical input; the time in range consensus recommends 14 days of data for reliable metrics [6].

Average glucose to HbA1c, rearranging the ADAG formula [1]
Average glucose (mg/dL)Average glucose (mmol/L)Estimated A1c (%)Estimated A1c (mmol/mol)
1005.65.1%32
1106.15.5%36
1206.75.8%40
1307.26.2%44
1407.86.5%48
1508.36.9%51
1608.97.2%55
18010.07.9%63
20011.18.6%70

More about HbA1c

Protocols that act on HbA1c

Common questions

What A1c is an average blood sugar of 120?

About 5.8% (40 mmol/mol)40 mmol/mol (5.8%), using A1c = (120 + 46.7) / 28.7 from the ADAG formula [1].

What A1c is an average blood sugar of 150?

About 6.9% (52 mmol/mol)52 mmol/mol (6.9%) by the ADAG formula [1].

Why doesn't my meter average match my eAG?

Meter averages often come from fasting or pre-meal checks, which miss after-meal highs, and the ADAG formula has a wide individual spread [1]. Red cell lifespan also differs between people [4].

What is the A1c formula?

eAG (mg/dL) = 28.7 x A1c minus 46.7, and mmol/mol = 10.929 x (A1c % minus 2.15) for converting units [1] [10].

Sources

  1. 1.Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ; A1c-Derived Average Glucose Study Group. Translating the A1C assay into estimated average glucose values. Diabetes Care, 2008. doi:10.2337/dc08-0545
  2. 2.Bergenstal RM, Beck RW, Close KL, et al. Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring. Diabetes Care, 2018. doi:10.2337/dc18-1581
  3. 3.Shah VN, Vigers T, Pyle L, Calhoun P, Bergenstal RM. Discordance Between Glucose Management Indicator and Glycated Hemoglobin in People Without Diabetes. Diabetes Technology and Therapeutics, 2023. doi:10.1089/dia.2022.0544
  4. 4.Cohen RM, Franco RS, Khera PK, et al. Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c. Blood, 2008. doi:10.1182/blood-2008-04-154112
  5. 5.Bunn HF, Haney DN, Kamin S, Gabbay KH, Gallop PM. The biosynthesis of human hemoglobin A1c. Slow glycosylation of hemoglobin in vivo. Journal of Clinical Investigation, 1976. doi:10.1172/JCI108436
  6. 6.Battelino T, Danne T, Bergenstal RM, et al. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care, 2019. doi:10.2337/dci19-0028
  7. 7.American Diabetes Association Professional Practice Committee for Diabetes. 6. Glycemic Goals, Hypoglycemia, and Hyperglycemic Crises: Standards of Care in Diabetes-2026. Diabetes Care, 2026. doi:10.2337/dc26-S006
  8. 8.American Diabetes Association Professional Practice Committee for Diabetes. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2026. Diabetes Care, 2026. doi:10.2337/dc26-S002
  9. 9.Galindo RJ, de Boer IH, Neumiller JJ, Tuttle KR. Continuous Glucose Monitoring to Optimize Management of Diabetes in Patients with Advanced CKD. Clinical Journal of the American Society of Nephrology, 2023. doi:10.2215/CJN.04510422
  10. 10.Hoelzel W, Weykamp C, Jeppsson JO, et al. IFCC reference system for measurement of hemoglobin A1c in human blood and the national standardization schemes in the United States, Japan, and Sweden: a method-comparison study. Clinical Chemistry, 2004. doi:10.1373/clinchem.2003.024802

AumniVIDA explains health data for general wellness. Talk to your clinician about your own results, medication and diagnosis.

Track your HbA1c over time.

Bring every lab report into one history, compare results with your own baseline, and ask the coach what changed. Join the iPhone beta.

Join the iPhone beta. We send TestFlight invitations in batches.