State of Lone Worker Safety · FY26

A year of duress alarms, measured.

20,433 real activations. 815 confirmed emergencies - one every 10.7 hours. Every event logged by the monitoring centre that answers Duress alarms, from 1 July 2025 – 30 June 2026, published because nobody else in this industry shows their numbers.

Published 2026-07-22 · By Trav Heaven, Founder & CEO · Free to cite with attribution

7sMedian operator pickup
94.2%Answered within 30 seconds
815Confirmed emergencies
1m 43sMedian case resolution
Response

When the alarm goes, a human answers in seconds.

Across every activation - real, false, day, night - the median time from alarm to a monitoring operator on the case was 7 seconds. 71.6% were answered inside 10 seconds; 99% inside 52.

0–5s
13.5%
5–10s
52.8%
10–15s
16.7%
15–20s
5.8%
20–30s
5.2%
30–60s
5.9%

Share of activations by time to operator pickup, FY26.

The finding that matters

Risk concentrates exactly when nobody is watching.

22%of activations happen after hours (6pm–6am)
34%of confirmed emergencies happen after hours
17%of activations happen on weekends
25%of confirmed emergencies happen on weekends

An alarm raised after hours is roughly twice as likely to be a confirmed emergency as one raised during the working day. The hours when a supervisor-based check-in system is weakest - evenings, nights, weekends - are the hours when the alarm is most likely to be real.

Triggers

1 in 6 alarms was raised by the system, not the worker.

17.7% of activations were automatic - fall detection, missed check-ins and expired safety timers firing when the worker couldn't, or didn't, press anything.

Device button press
48.7%
App (slide-to-alert, triple tap)
29.7%
Fall detectionauto
9%
Missed check-inauto
5.8%
Safety timer expiredauto
2.9%
Integrations + other
2.4%
Phoenix button
1.2%
The honest number

93% of alarms didn't end up needing emergency services. We answered every one anyway.

Of 20,433 activations, 93% resolved as false alarms, or de-escalated with an operator on the line without needing emergency services - real enough to raise an alarm, resolved without escalation. That number is the price of the 815 that were real: a monitoring model that screens harder, calls back later, or waits for confirmation is a model that eventually misses one. Median time to a human, false alarm or not: 7 seconds. No other provider in this category publishes this figure.

Year on year

Faster answers, more real emergencies caught.

Same methodology run over the prior year (FY25: 1 July 2024 – 30 June 2025). The operators got two seconds faster while confirmed emergencies rose 39% - and the after-hours risk skew held at 34% in both years, which is what makes it a pattern rather than a quirk.

Median operator pickup 9s 7s 2 seconds faster
Answered inside 10 seconds 64% 72% +8 points
Confirmed emergencies 587 815 +39%
Total activations 22,771 20,433 −10% · less noise, more signal

FY26 introduced systematic use of the "de-escalated" outcome (512 events vs 11 in FY25), so part of the confirmed-emergency growth reflects finer-grained classification of live incidents, not only more emergencies.

Patterns

When alarms actually happen

By hour of day

0
6
12
18

Activations peak mid-morning and early afternoon - the shape of community visits, store floors and field work. The after-hours tail is smaller but carries double the emergency rate.

By month

Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun

Volume grew through the year - June 2026 ran 10% above July 2025 - with the expected summer-holiday dip across December and January.

The week

Sunday is the most dangerous day of the week.

Share of activations confirmed as real emergencies, by day raised. Weekdays sit in a tight band; the weekend climbs, and Sunday roughly doubles it - the same shape as the after-hours skew, for the same reason: risk peaks when supervision is thinnest.

Monday
3.7%
Tuesday
3.3%
Wednesday
4%
Thursday
3.6%
Friday
3.3%
Saturday
5%
Sunday
7.1%

Confirmed-emergency rate by day of week, FY26. The weekend-over-weekday pattern also held in FY25 under identical rules.

7.7%

Confirmation rate on Australia's 8 national public holidays, against a 4.1% everyday baseline. A modest sample, so read it as direction rather than a precise multiple - but the direction matches Sundays and after-hours exactly.

Industries

Every industry has its own rhythm of risk.

Activations classified by organisation type. Sector figures are rates, so no individual customer or region is identifiable - and each sector is compared with its own baseline, because the interesting question is not which industry is safest, it is when your industry's risk peaks.

Retail

  • Evening trade (6pm to 9pm) confirms at 7.4%, well over double the 3.0% morning rate
  • After midnight is the highest-risk window: 8.4%
  • The holiday quarter (November to January) sustained the year's highest retail confirmation rates, around 6%
  • 96% of retail alarms are a worker deliberately pressing a trigger - the risk is a person in front of you
Read the deep dive ›

Community services

  • Between 9pm and midnight, 16.7% of activations are confirmed emergencies - one in six
  • Sundays confirm at 14.3%, several times the weekday rate
  • After hours overall: 10.1% vs 5.4% in business hours
Read the deep dive ›

Government

  • The heaviest users of automatic protection: 37% of activations are timers, check-ins and fall detection
  • Usage is overwhelmingly precautionary - alarms mostly confirm safe outcomes, which is what a working check-in culture looks like
Read the deep dive ›

Healthcare

  • Activation volume follows the shape of clinic hours and community visits, peaking mid-morning to mid-afternoon
  • Sits between retail's press-the-button profile and the community sector's timer-led profile
Read the deep dive ›
The cost of answering

A false alarm costs 90 seconds. That's the whole premium.

Median operator time from case open to case close, by outcome. Answering every alarm - and 93% resolve as false alarms or de-escalations - costs a minute and a half of trained attention each. A real emergency runs nine minutes of live response. That asymmetry is why screening harder to avoid false alarms is a bad trade: the cost of answering everything is small, and the cost of missing the real one is not.

1m 30sFalse alarm
2.7mDe-escalated - no services required
9.1mConfirmed emergency (p90: 18.2m)
Method

How these numbers were made

  • Source: the complete emergency-event log of the accredited monitoring centre that answers Duress alarms, 1 July 2025 – 30 June 2026. Every activation, no sampling.
  • Pickup time is measured from alarm raised to a monitoring operator opening the case.
  • Customer identities are anonymised; figures are aggregates across all monitored organisations in Australia, New Zealand and the UK.
  • Industry figures classify activations by organisation type and are published as rates only, so no individual customer or region is identifiable. Internal test organisations are excluded from sector cuts.
  • Year-on-year comparatives use the equivalent FY25 export (1 July 2024 – 30 June 2025) processed with identical rules.
  • Figures are point-in-time as at publication and will be refreshed in the FY27 edition.
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Duress, State of Lone Worker Safety FY26 (2026-07-22). 20,433 monitored duress activations, 815 confirmed emergencies, 7-second median operator pickup. https://www.duress.com/en-nz/resources/lone-worker-safety-report-2026/

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A year of duress alarms, measured: 20,433 real activations, 815 confirmed emergencies, a 7-second median operator pickup. Published with full methodology - including the false-alarm rate nobody else prints.

https://www.duress.com/en-nz/resources/lone-worker-safety-report-2026/
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Questions

About this report

Where does this data come from?
Every number is drawn from the complete emergency-event log of the accredited monitoring centre that answers Duress alarms for 1 July 2025 – 30 June 2026: 20,433 real activations. Test activations are excluded. No sampling, no estimates.
Why publish the false-alarm rate?
Because it is the honest cost of never missing a real emergency. 93% of activations turn out to be false alarms, or situations that de-escalated with an operator on the line without needing emergency services - and every single one was still answered by a human in a median of 7 seconds. A system that filters harder misses the 815 that were real.
What counts as a confirmed emergency?
An activation where the operator verified a genuine emergency and escalated - dispatching emergency services, executing the escalation plan, or staying live with the worker until resolution. De-escalated live situations (512 in FY26) are counted separately.
Can I cite these figures?
Yes, with attribution to "Duress, State of Lone Worker Safety FY26" and a link to this page. For media enquiries or the underlying methodology, contact info@duress.com.

Written and reviewed by

Trav Heaven, Founder & CEO

Trav Heaven is the founder and CEO of Duress. He has spent 10 years building frontline-worker safety technology, now relied on by more than 20,000 teams across Australia, New Zealand and the United Kingdom.

This is what answering in 7 seconds looks like, at scale.