Detailed occupations
Statistical occupation categories such as firefighter, software developer or accountant.
Highest potential-barrier scoreArchitectural and engineering managers
The Workplace Fitness Burnout Index
Where work may make exercise harder to fit in.
Bespoke Fit compared work hours, commute times, workday sitting and leisure-time inactivity to see where exercise may be harder to fit around work. It measures potential barriers, not burnout or health.
How the study is organized
Three ways to explore the results.
Explore a detailed occupation category, a broader occupation group, or the industry where the work takes place.
Occupation groups
Broad families of related jobs, such as management, healthcare support or construction.
Highest potential-barrier scoreConstruction and extraction occupations
73.00View group ranking ↓
Industries
Employer sectors such as manufacturing, finance or transportation.
Highest potential-barrier scoreTransportation and warehousing
Occupation and industry: Occupation describes the work performed. Industry describes the employer's activity, and the same occupation can appear in several industries.
Scores: Higher means more potential barriers within that list. Do not compare scores across lists. They are not percentages or burnout measures.
Workweek time calculator
How much of your week is tied to work?
Enter your work and commute time, then choose your biggest exercise barrier for one practical next step.
Your weekly pictureWork + commute
48h 44m
of your week goes to work and commuting.
4h 20mspent commuting each week
52 mincommuting on each workday, round trip
Full data
Compare the rankings.
Search or sort each list. Higher scores mean more potential barriers within that list. Scores use different inputs and cannot be compared across lists.
Scroll inside the list to view every result.All metrics are shown in stacked cards on mobile.
Built around real life
Build a fitness routine around your real workweek.
Train live, one on one, with a Bespoke Fit coach by video, wherever you train.
See how coaching worksMethodology
How the index was built.
The index combines national data on work hours, commuting, workday sitting and leisure-time inactivity. Only entries with complete inputs were ranked.
Detailed occupations
The 155 detailed occupation categories were scored using average weekly hours, average one-way commute and the share of the working day spent sitting.
- Weekly hours: 50%
- One-way commute: 30%
- Workday sitting: 20%
Direct leisure-time inactivity data were not available at this detailed occupation level.
Industries and occupation groups
The 18 industries and 21 broad occupation groups were scored using reported leisure-time inactivity, weekly hours and workday sitting.
- No leisure-time exercise: 45%
- Weekly hours: 35%
- Workday sitting: 20%
Scoring and interpretation
Each metric was converted to a percentile rank within its dataset. The weighted percentiles were combined into a score from 0 to 100. Higher scores indicate greater potential barriers relative to other entries in the same ranking. The weights are analytical choices, and small score differences should not be treated as meaningful.
Because the detailed-occupation ranking uses different inputs, its scores should not be compared directly with occupation-group or industry scores. Scores are not percentages, probabilities or clinical assessments.
Scope and limitations
- Seven of 162 matched detailed occupation categories were excluded because complete ranking data were unavailable.
- Farming, fishing and forestry occupations and military-specific occupations were not ranked at the broad occupation-group level.
- Agriculture and management of companies and enterprises were not ranked at the industry level because complete inputs were unavailable.
- Industry sitting is a derived, employment-weighted estimate combining ORS and OEWS data. Public Administration uses a government-wide proxy and should be treated as indicative.
- Home workers are counted as zero commuting minutes in the detailed-occupation commute measure.
- Detailed-occupation weekly hours are suppressed where the unweighted ACS sample is below 100.
- The datasets cover different populations and years and do not represent the same individual respondents.
- Workday sitting measures sedentary exposure. It does not measure total physical workload, fatigue, injury risk or recovery needs.
- Survey estimates are presented without confidence intervals on this page. Rankings may change under different weights or updated data.