Employment/Unemployment Data by Occupation

plug: graphs prepared using Mariner Calc

updated: 2021-10-10

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  "Res ipsa loquitur."
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Hours and Earnings


Annual Starting Salaries of New Grads (from NACE)


Starting Salaries of New Grads (from NACE)

Numbers Employed/Unemployed and Actively Seeking Work by Occupation


Numbers Employed by Extremely General Occupation Category

LNU02032201
LNU02032203
LNU02032204
LNU02032213
retrieved via https://data.bls.gov/cgi-bin/srgate

Numbers Employed by Extremely General Occupation Category (since 2000)


Numbers UnEmployed by Extremely General Occupation Category

LNU03032215
LNU03032217
LNU03032218
LNU03032227


Unemployment Rates by Extremely General Occupations

LNU04032215
LNU04032217
LNU04032218
LNU04032227


Numbers Employed by General Occupation Category

CEU5000000006
CEU5051120006
CEU5051200006
CEU6054000006
CEU6054130006
CEU6054150006
CEU6054151106
CEU6054151206
CEU6054151906
CEU6054170006
CEU6054171006
CEU6056130006
CEU6056131006
CEU6056132006
CEU6056133006
CEU6562000106

Unemployment Rates by (more or less detailed) Occupation

BLS periodically adjusts occupation categories/definitions. Sometimes, they stop reporting a detailed category & lump it into a more general category, other times they split a detailed category into 2. Occasionally, they retain a detailed category, but move it from one general category to another. Sometimes, they have to create new detailed categories as employer preferences shift. Statistics for hyper-detailed categories unavoidably have smaller effective sample sizes & are thus less reliable.

Unemployment Rates by Occupation Categories

Unemployment Rates by Occupation Categories since 2007


Computer

Full Employment Index (1 = good, 2+ = bad)

Full Employment Index zoom down into the weeds (1 = good, 2+ = bad; scale 0.9x to 2.9x)


Driver & Farming


Engineering


Management


Science

Medical ☤


Trades, etc.


Verbal


Verbal

CS Network

Teaching

Computer (zoom down into the weeds)

STEM occupations unemployment rates

Numbers in what BLS calls the "Work-Force" or "Labor-Force" by Occupation

What BLS calls the "Work-Force" or "Labor-Force" only includes those currently employed in a particular occupation + those who are unemployed and actively seeking work, whose most recent previous employment was in that particular occupation.

Someone who has been a neuro-surgeon for 30 years, but loses his job and works as a "greeter" is considered by BLS not as an under-employed neuro-surgeon, but as a fully employed "greeter", who is not a part of the neuro-surgeon nor of the medical physician nor health care work-force.

Someone who has been a software architect for 20 years, but loses his job and works as a "pet-sitter" while seeking another long-term full-time sotware product design and development job is considered by BLS not as an under-employed software developer, but as a fully employed "pet-sitter", who is not a part of the software developer work-force.

Someone who has been an agricultural worker for 20 years, but fell off the turnip truck and lands a temporary gig in "IT" while seeking another long-term full-time agricultural job is considered by BLS not as a mal-employed agricultural worker, but as a fully employed "IT professional", who is not a part of the agricultural work-force.

IT Work-Force: Network

IT Work-Force (2)

IT Work-Force

IT Work-Force log scale

Engineering Work-Force

Engineering Work-Force log scale

Science Work-Force

Science Work-Force log scale

Exec Work-Force

Exec Work-Force log scale

Exec Work-Force (2)

Science Work-Force (2)

Verbal Work-Force

Verbal Work-Force

Verbal Work-Force log scale

Other Work-Force

Other Work-Force log scale

Teaching Work-Force

(Take the graphs in the above group with a large grain of salt due to tiny sample sizes in some categories used by BLS to derive the figures at this level of specificity.

They sift them out of the monthly survey of 65K households, but only a tiny fraction of those households are in any one industry or occupation. It would require multiple samples, each aimed at a particular occupation or industry, with a couple thousand in each sample, to get reliable aggregate estimates, but some occupations have only a few thousand total people in them.

As can clearly be seen from the "IT" Work-Force graph, re-definitions of the occupational categories from time to time can wreak havoc with any attempt to find base-lines and interpret economic effects over time.)


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Challenger, Gray & Christmas
lay-off announcements
Conference Board
(leading economic indicators,
job ad index,
consumer confidence
Consumer Price Index Employment Graphs
Education UnEmployment Insurance
Visas War Casualties
Crime Data
jgo Resume jgo Reading Room
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jgo's Links  
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Kermit's home page
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