An occupation salary average is a group summary, not a personal fact. Write down the exact figure, then record which occupation, location, time period and worker groups it covers. Remove any sentence that converts that group figure into an estimate of a specific person's income. If the source is absent, private, mismatched or ambiguous, record that limit and stop.
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Spot the substitution from a group to a person
The error usually appears as a quiet slide in language: a published average for an occupation becomes "so this person probably earns around..." Nothing in the average supports that shift. A mean is an average across surveyed workers, and a median divides an occupational wage distribution in half, so individuals fall above and below either summary. The statistic describes a population, while a named person's income is a separate evidence unit that the average cannot fill. [BLS: occupation wage estimate definitions]
Label the four attributes before you use the figure
A defensible statistical claim names four things. Population: which occupation and which workers are counted. Geography: the location the estimate describes. Period: the survey or reference year. Exclusions: who is left out, such as self-employed workers and some other groups, plus the fact that wage estimates exclude employer benefit costs. Write these beside the number in your notes. If any attribute is missing from the artifact you are reading, mark it unknown rather than assuming the most convenient answer. [BLS: occupation wage estimate definitions]
| observation | limit | next step |
|---|---|---|
| A salary figure appears with an occupation name but no location or year | You cannot tell which population or period it describes | Record the gap as unknown and do not apply it to a person |
| A mean is quoted for a job category | A mean is one summary of a distribution; workers sit above and below it | Keep it as a group statistic only, not an individual estimate |
| A median is quoted from an occupational table | The median divides the distribution in half, not into a prediction for one worker | Do not convert it into a named-person earnings figure |
| The page never states exclusions | Self-employed and some other groups may be outside the estimate | Note the omission and avoid treating the figure as complete |
Remove the named-person earnings estimate
Once you have labeled the statistic, edit the sentence that used it as a personal income claim. The corrected statement keeps the group frame: the figure is an occupational average or median for a stated population, place and period, with named exclusions. The removed statement is any claim about what a specific person earns, is worth or can afford, because the aggregate does not supply that. This is a correction to a statistical claim, not a replacement guess dressed up with more decimals. [BLS: occupation wage estimate definitions]
Treat a repeated figure as repetition, not confirmation
If the same number appears on another public page, or the same profile repeats it, record the repetition as its own observation. Repetition does not turn a group statistic into evidence about an individual, and it does not close the missing population, geography, period or exclusion gaps. A hypothetical example: a public profile lists an occupation and a salary figure, and a second public page repeats the figure; the note should say the number recurs, while the occupation average remains a group summary only. [BLS: occupation wage estimate definitions]
Keep the number away from financial and personal judgments
An occupational statistic and an unverified personal figure should both stay out of decisions about credit, housing, insurance, hiring or someone's character. They also say nothing reliable about a person's lifestyle, relationship status or honesty. When a source is absent, private, mismatched or ambiguous, the correct move is to record that precise limit and stop. Do not seek private records or try to identify or contact anyone to resolve the gap. [BLS: occupation wage estimate definitions]
- Write the exact wording of the salary claim before editing it
- Add population, geography, period and exclusions beside any group figure
- Mark unknown attributes as unknown, without filling them in
- Delete sentences that estimate a named person's earnings
A short correction note you can reuse
Draft a note in your own words: the figure is an occupational average or median for a stated population, place and period; self-employed and some other groups are excluded, and benefits are not included. It does not estimate any individual's income. Any personal earnings claim from the same page is withdrawn as unsupported. Keep the note alongside your original observation so the correction is traceable. This worksheet is editorial guidance, not a platform feature test or a financial calculation. [BLS: occupation wage estimate definitions]
A couple more questions
How do I tell whether a salary figure is a group statistic or a personal income claim?
Look at what the wording attributes the number to. If it names an occupation and a survey population, it is a group statistic; if it concludes what a particular person earns or is worth, it is a personal claim the group statistic cannot support. Relabel or remove it.
What should I do when the figure lacks a location or year?
Record those attributes as unknown instead of assuming them. An unlabeled mean or median cannot be matched to a population or period, so it stays a partial observation and should not be applied to anyone.
Does a second page repeating the salary make it reliable?
No. Repetition shows that the figure appears in more than one place. It does not establish the missing population, geography, period or exclusions, and it does not turn an occupational average into evidence about an individual's income.
Can I use an occupational average to compare two people's earnings?
No. An average or median summarises an occupational distribution, with some workers above and some below it. Comparing named individuals requires separate evidence about each person, which a group summary does not provide.
Sources & editorial notes
Official references checked on October 24, 2026. Checklists, comparison tables and example wording are DateClues editorial tools, not official tests or validated risk scores.
General information. No guide or tool can certify a person’s identity, intentions or safety. Read our editorial standards.