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Back to BillingsCity risk pillar

MT · Billings

Occupational exposure in Billings.

Physical strain, injury frequency, and the ability to pivot roles influence the likelihood and duration of income interruption.

This pillar describes directional exposure in Billings, Montana and does not provide individualized predictions.

Focus areas

Relative risk score70
  • Physical vs sedentary work
  • Injury frequency by occupation group
  • Skill specialization and pivot ability
Directional 0-100 score relative to peer locations (higher means higher risk).

Signals DisabilityRiskIQ reviews

High-injury occupations

Share of jobs with higher injury rates; more exposure can raise risk.

Relative signal score85

Physically demanding jobs

Higher physical demands can lead to longer recovery time away from work.

Relative signal score84

Transferable skills

A higher share of transferable skills can make job pivots easier.

Relative signal score41

Why this pillar matters in Billings

These drivers shape how income interruption shows up in Billings, from timing to how hard it is to return to work.

Local signal showing higher income interruption risk: High-injury occupations.
Local signal showing lower income interruption risk: Transferable skills.
Physical work increases injury and recovery time.
High-injury roles raise the likelihood of time away.
Specialized skills can make work pivots slower.

How to read signals

Higher physical job share can mean longer time off.
Higher injury exposure can raise interruption risk.
Lower transferable skills can slow re-entry.

Questions to ask

  • Could work be modified or scaled back quickly?
  • What alternative roles exist with similar pay?
  • How long is typical recovery in this role?

Practical actions

  • Review safety practices and ergonomic protections.
  • Build skills that allow for lighter-duty pivots.
  • Plan for a longer recovery window in savings.

Data sources

  • US Census Bureau, American Community Survey (ACS) 5-year estimates

Update cadence

  • Updated when new ACS 5-year occupation data is released.

Other risk pillars

Personal profile

Income interruption risk shifts with age, employment type, and how many people rely on the same paycheck.

Geographic context

State benefits and local policy context shape how quickly income support appears and how long it lasts.

Financial resilience

Savings runway and fixed expenses determine how much interruption a household can absorb.