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The main factor affecting occupational growth rates is the growth rate of the industries in which they are employed. But over time, industries also change the mix of occupations used to create their output. Occupational projections incorporate changes to both those factors. For more information, refer to the evaluation methodology.
How often did BLS correctly project growth and decline for occupational groups?
BLS correctly projected whether an occupational group would grow or decline 86 percent of the time.
What did BLS project as the average growth rate for occupations from 2014 to 2024?
The projected average growth rate for occupations from 2014 to 2024 was 6.5 percent.
What was the actual average growth rate for occupations?
The actual average growth rate for occupations from 2014 to 2024 was 12.9 percent.
What contributed to the difference?
Recovery and expansion in the years following the Great Recession1 and the later COVID-19 pandemic2 contributed to actual average growth rates exceeding the projected average growth rate. BLS projections assume stable GDP growth and a full-employment labor market in the target (end) year3.
How accurate were the projected growth rates compared with the actual growth rates for the major occupational groups?
For the 22 major occupational groups, BLS projected that 4 would have slower than average growth than the economy (less than 4.5 percent), 10 would have as fast as average growth (4.5 to 8.5 percent), 6 would have above average growth (more than 8.5 percent), and 2 were projected to decline. Actual growth rates showed 3 groups had slower than average growth, 1 had average growth, 14 showed above average growth, and 4 had employment declines.
An important way to evaluate any projection is to compare it against other, similar projections. This is not possible for occupational projections because there are no comparable projections which are not in some way derived from BLS projections. When no comparable projection exists another way of evaluating is to compare against a naïve model. The occupational evaluation uses the occupational–share naïve model, which assumes that the overall proportion of each occupation in the economy was not projected to change over the 10-year period.
Occupational projections were evaluated for:
Projections of major occupational groups (See Table 1 and Table 3.)
Projections of detailed occupations (See Table 2.)
Projections of occupations combined based on the level of education, experience, and training BLS assigned in 2014 (See Table 4.)
These evaluations show how well BLS projected groups of related occupations. Each was compared with the occupational–share naïve model by summing the absolute differences from the actual result. A lower value indicates a more accurate projection.
Source: U.S. Bureau of Labor Statistics.
| Measure | BLS | Naïve | Best performer | |||
|---|---|---|---|---|---|---|
|
Sum of absolute differences of employment shares |
9.6 | 11.5 | BLS | |||
|
Count of better score |
13 | 9 | BLS | |||
|
Source: U.S. Bureau of Labor Statistics. |
||||||
| Measure | BLS | Naïve | Best performer | |||
|---|---|---|---|---|---|---|
|
Sum of absolute differences of employment shares |
19.6 | 21.1 | BLS | |||
|
Count of better score |
475 | 345 | BLS | |||
|
Source: U.S. Bureau of Labor Statistics. |
||||||
| Occupational group | BLS | Naïve | Best performer |
|---|---|---|---|
|
Management |
2.17 | 2.11 | Occupational-Share Naïve |
|
Business and financial operations |
1.13 | 1.22 | BLS |
|
Computer and mathematical |
0.45 | 0.62 | BLS |
|
Architecture and engineering |
0.06 | 0.12 | BLS |
|
Life, physical, and social science |
0.03 | 0.02 | Occupational-Share Naïve |
|
Community and social services |
0.18 | 0.24 | BLS |
|
Legal |
0.01 | 0.00 | Occupational-Share Naïve |
|
Education, training, and library |
0.41 | 0.35 | Occupational-Share Naïve |
|
Arts, design, entertainment, sports, and media |
0.06 | 0.02 | Occupational-Share Naïve |
|
Healthcare practitioners and technical |
0.04 | 0.55 | BLS |
|
Healthcare support |
0.46 | 0.02 | Occupational-Share Naïve |
|
Protective service |
0.02 | 0.06 | BLS |
|
Food preparation and serving related |
0.16 | 0.16 | Occupational-Share Naïve |
|
Building and grounds cleaning and maintenance |
0.36 | 0.37 | BLS |
|
Personal care and service |
0.37 | 0.62 | BLS |
|
Sales and related |
1.55 | 1.69 | BLS |
|
Office and administrative support |
1.44 | 2.07 | BLS |
|
Farming, fishing, and forestry |
0.02 | 0.05 | BLS |
|
Construction and extraction |
0.03 | 0.11 | BLS |
|
Installation, maintenance, and repair |
0.05 | 0.05 | Occupational-Share Naïve |
|
Production |
0.29 | 0.84 | BLS |
|
Transportation and material moving |
0.30 | 0.20 | Occupational-Share Naïve |
|
Note: Ties are broken using unrounded data. Source: U.S. Bureau of Labor Statistics. |
|||
| Education, experience, and training classification | BLS | Naïve | Best performer |
|---|---|---|---|
|
Education |
|||
|
No formal educational credential |
4.75 | 5.13 | BLS |
|
High school diploma or equivalent |
6.59 | 7.19 | BLS |
|
Some college, no degree |
0.14 | 0.34 | BLS |
|
Associate's degree |
0.36 | 0.36 | BLS |
|
Bachelor's degree |
5.83 | 6.21 | BLS |
|
Master's degree |
0.47 | 0.55 | BLS |
|
Postsecondary nondegree award |
1.04 | 0.97 | Occupational-Share Naïve |
|
Doctoral or professional degree |
0.42 | 0.39 | Occupational-Share Naïve |
|
Work experience in a related occupation |
|||
|
No related work experience |
15.49 | 16.75 | BLS |
|
Less than 5 years |
2.28 | 2.47 | BLS |
|
5 years or more |
1.83 | 1.92 | BLS |
|
Typical on-the-job training |
|||
|
No on-the-job training |
7.99 | 8.45 | BLS |
|
Short-term on-the-job training |
7.45 | 7.9 | BLS |
|
Moderate-term on-the-job training |
2.85 | 3.38 | BLS |
|
Long-term on-the-job training |
0.54 | 0.6 | BLS |
|
Apprenticeship |
0.17 | 0.2 | BLS |
|
Internship/residency |
0.59 | 0.61 | BLS |
|
Note: Ties are broken using unrounded data. Source: U.S. Bureau of Labor Statistics. |
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The Employment Projections program relies on various data sources. Changes in methodology and classifications in these programs and surveys result in challenges with evaluating occupational projections at a detailed level.
1 Joseph Stuart, Jr., "Employment continued to expand in 2015," Monthly Labor Review, U.S. Bureau of Labor Statistics, April 2016, https://doi.org/10.21916/mlr.2016.18.
2 Ryan Ansell, “Total nonfarm employment recovers in 2022, with some major industry sectors lagging behind," Monthly Labor Review, June 2023. https://doi.org/10.21916/mlr.2023.12.
3 For more information on the Employment Projections (EP) program’s methodology, see “Employment Projections: Overview,” Handbook of Methods (U.S. Bureau of Labor Statistics, last modified September 10, 2025), https://www.bls.gov/opub/hom/emp/.
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Last modified date: April 10, 2026