Human-Factor Risk Calculator
Calculate who may experience human-factor risk this year.
The biggest risks on a site are not always physical. Over a year, many workers will go through periods where financial stress, mental health strain, fatigue, grief, illness, gambling, substance use, or major life events temporarily elevate risk. Those periods can show up on site as distraction, unsafe acts, performance drift, and wellbeing harm.
Interactive Estimate
How many people may go through periods of elevated human-factor risk this year?
Enter workforce size and choose a country. The calculator estimates how many workers may experience common periods of elevated human-factor risk in a year, then applies overlap assumptions because the same person can face more than one issue.
Switch country for preset annual rates, or choose Custom to adjust assumptions.
Financial stress
0
Money pressure follows people to work.
Mental health strain
0
Psychological distress changes attention, judgement, and recovery.
New child
0
Chronic sleep debt and changed routines.
Serious illness
0
Fear, treatment demands, and caring responsibilities.
Death or bereavement
0
Rare, high-impact disruption.
Gambling disorder
0
Behavioural addiction and financial stress risk.
Moving house
0
Disrupted sleep, travel, and routines.
Substance use disorder
0
Alcohol or drug dependence burden.
Impact you cannot ignore
0 - 0
of your workforce
Estimated people who may experience a period of elevated human-factor risk this year. The range assumes overlap between issues, because the same worker may move through financial stress, fatigue, grief, or mental health strain during the same year.
Fatigue + Distraction -> Unsafe acts -> Incidents
References and source notes
These links support the calculator assumptions and are intentionally low-prominence. Exact rates should be periodically reviewed before using this as formal evidence.
Vital statistics (births, deaths, marriage, divorce)
- AU - ABS: Births; Marriages & Divorces; Deaths.
- US - CDC/NCHS: Births; Marriage & Divorce; Mortality.
- UK - ONS: Births; Marriages; Deaths.
- CA - Statistics Canada: Births & Deaths; Marriages/Divorces.
- JP - MHLW: Vital Statistics. KR - KOSIS: Vital Statistics.
- DE - Destatis: Births; Marriages & Divorces; Deaths.
- FR - INSEE: Births; Marriages; Deaths. ES - INE: Natural population movement.
Moving house / residential mobility
- AU - ABS: Residential mobility.
- US - U.S. Census: Geographic mobility. UK - ONS: Internal migration.
- CA - StatCan: Mobility & migration. JP - e-Stat: Internal migration.
- KR - KOSIS: Internal migration. DE - Destatis: Moves within Germany.
- FR - INSEE: Residential mobility. ES - INE: Residential variations.
Mental health (12-month prevalence / adult surveys)
- AU - AIHW: National Study of Mental Health & Wellbeing.
- US - SAMHSA: NSDUH annual report. UK - NHS Digital: Adult Psychiatric Morbidity Survey.
- CA - StatCan: Mental disorders in Canada.
- JP - NIMH: National mental health statistics. KR - MOHW: National Mental Health Survey.
- DE - RKI: Health reporting. FR - Santé publique France: Baromètre santé. ES - INE: National Health Survey modules.
Substance use disorder (alcohol/drugs)
- AU - AIHW: SUD prevalence.
- US - SAMHSA: NSDUH alcohol & drug use disorder. UK - APMS: Alcohol/drug dependence modules.
- CA - StatCan: MHACS including SUD. JP - Cabinet Office: Addictions survey context.
- KR - MOHW: Alcohol/nicotine use disorder stats.
- DE/FR/ES - WHO/UNODC: WHO GHO substance use; UNODC World Drug Report.
Gambling disorder
- AU - AGRC/AIFS: Participation & problem gambling.
- US - NCPG: National reports & dashboards. UK - Gambling Commission: Gambling Survey for Great Britain.
- CA - PHAC: Problem gambling. JP - Cabinet Office: Gambling addiction prevalence.
- KR - NGCC: Prevalence bulletins. DE - BZgA: National survey.
- FR - Observatoire des Jeux: Gambling harms reports. ES - DGOJ: Prevalence & studies.
Serious illness (proxy: cancer incidence)
- AU - AIHW: Cancer in Australia. US - American Cancer Society: Facts & Figures.
- UK - Cancer Research UK: Incidence statistics. CA - Canadian Cancer Society: Cancer statistics.
- JP - NCC: Cancer stats. KR - Korea Central Cancer Registry: Annual statistics.
- DE - RKI/ZfKD: Krebs in Deutschland. FR - INCa: Chiffres clés. ES - SEOM: Cancer statistics.
Retirement (labour-force exits before 65)
- AU - ABS: Retirement & Retirement Intentions.
- US - BLS/Fed: Labour flows; SHED retirement transitions.
- UK - ONS: Economic inactivity. CA - StatCan: Retirement transitions.
- JP - Statistics Bureau: Labour Force Survey. KR - Statistics Korea: Labour indicators.
- DE - Destatis: Labour market. FR - INSEE: Employment notes. ES - INE: EPA inactivity.
Financial stress / economic fragility
- AU - ABS: General Social Survey. US - Federal Reserve: SHED.
- UK - Money & Pensions Service: MoneyView; FCA: Financial Lives Survey.
- CA - StatCan: Household finances. JP - Cabinet Office/e-Stat: Living surveys.
- KR - KOSIS: Household income & expenditure. DE - SOEP: Financial worries.
- FR - INSEE: Household living conditions. ES - INE: Household Budget Survey.
Why human-factor risk matters
Safety
Fatigue and distraction are precursors to serious incidents.
Performance
Presenteeism, rework, quality escapes, and downtime rise when attention is split.
Financial exposure
Psychological and fatigue-linked claims can be longer, costlier, and harder to defend.
People and culture
Workers disengage or leave when periods of elevated risk are treated as personal weakness.
Board duty
Lagging indicators are not evidence that human-factor risk is actively controlled.
The Control Gap
Traditional tools were not built for invisible frontline risk periods.
Surveys are too slow
Annual or quarterly snapshots arrive after the risk has already crystallised. Incidents do not wait.
EAP sits downstream
Counselling is important but reactive. Leaders still need early signal before crisis.
Supervisors are not clinicians
Frontline leaders need systems and boundaries, not guesswork about private lives.
Apps do not fit the work
Gloves, dust, shift work, and shared devices make app-based controls brittle for crews.
How Echo Helps
Make the invisible visible without turning workers into surveillance data.
90-second phone check-ins
Low-friction voice check-ins reach workers without an app, login, or dashboard.
Signals, not surveillance
Echo routes fatigue, stress, fairness, and goal-conflict signals with privacy boundaries.
Action-ready controls
Managers receive the smallest useful next move, not raw audio or worker transcripts.
Defensible evidence
Time-stamped signals, actions, and response loops help show active risk control.
Echo is not a clinical service and does not provide diagnosis or therapy. It complements, not replaces, EAP and safety systems.
Ready to see live risk signal?
Start with a pilot site and turn invisible risk periods into active control.
Echo helps leaders spot human-factor risk early, route safe actions, and create evidence that the control loop actually operated.