Sleep · Metric

Sleep Efficiency

The percentage of time in bed actually spent asleep. A core clinical sleep metric and one of the most actionable numbers your wearable reports.

Definition

Sleep efficiency is calculated as: (Total sleep time ÷ Time in bed) × 100. A person who spends 8 hours in bed but sleeps for only 6.4 hours has a sleep efficiency of 80%.

The metric originated in polysomnography (PSG) research as a way to distinguish time in bed from actual restorative sleep. It remains one of the core metrics in clinical sleep assessment and cognitive behavioral therapy for insomnia (CBT-I).

Clinical benchmarks

Efficiency %Clinical CategoryInterpretation
≥ 90%ExcellentHighly consolidated sleep
85–89%NormalClinically typical for healthy adults
75–84%Below averageMay indicate sleep fragmentation
< 75%PoorClinical threshold for insomnia diagnosis

Source: Morin CM et al. Psychological and pharmacological treatments for insomnia. Am J Psychiatry. 2006. American Academy of Sleep Medicine guidelines.

How sleep efficiency changes with age

Age GroupMean Sleep EfficiencyTypical Range
18–3089%82–95%
31–4587%79–93%
46–6084%74–91%
61–7580%68–88%
75+75%62–84%

Source: Ohayon MM et al. Meta-analysis of quantitative sleep parameters across the lifespan. Sleep. 2004.

How wearables measure it

Oura Ring
PPG + accelerometer. Generally underestimates wake-after-sleep-onset.
Garmin
Actigraphy-based. Efficiency visible in Garmin Connect.
Whoop
Inputs into Sleep Performance score, not reported directly.
Apple Watch
Sleep efficiency accessible via Health app third-party apps.
Wearable accuracy: Consumer wearables tend to overestimate sleep efficiency by 5–10% compared to PSG gold standard, primarily due to underdetection of brief awakenings.
Not medical advice: Data presented here is for educational reference only. Consult a qualified clinician for health concerns.