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Labor force projections begin with civilian noninstitutional population (CNIP) estimates from the U.S. Census Bureau, to which BLS applies our projected labor force participation rates. Errors in BLS labor force projections can therefore come from either source. For more information, refer to our evaluation methodology.
In 2000 the Census added a new race category, "Two or more races," which limits BLS' ability to confidently evaluate the accuracy of our labor force projections by race. BLS projections were developed using the categories from before 20001, which are not comparable to the categories published in 2012.2
How often did BLS correctly project growth and decline for labor force segments?
BLS correctly projected which labor force segments would grow and which would decline about 79 percent of the time.3
How much did BLS project the labor force to grow between 2002 and 2012?
BLS projected the labor force to grow 12 percent between 2002 and 2012.
How much did the labor force actually grow?
The labor force actually grew 7 percent between 2002 and 2012.
What contributed to the difference?
After the release of the 2002–12 projections, there was a recession which reduced employment and shifted labor force participation rates. In 2012, the labor force had fewer workers in the younger cohorts and more in the older cohorts than BLS projected.
The 2012 actual CNIP was similar to the projected CNIP, with an absolute difference of less than one percent, and relatively low dissimilarity indexes.
Race | Sex | Dissimilarity index |
---|---|---|
All | All | 1.0% |
All | Male | 1.3% |
All | Female | 0.8% |
In most cases the naïve model outperformed the BLS projections, as measured by lower absolute percent error. In almost all cases the naïve model over– or under–projected the labor force in tandem with the BLS projections. The actual 2012 labor force generally had fewer workers in the younger cohorts and more in the older cohorts than BLS projected.
Age | Actual 2012 labor force | Labor force projection | Absolute percent error | Best performer | ||
---|---|---|---|---|---|---|
BLS | Naïve | BLS | Naïve | |||
16 and 17 | 1952 | 2632 | 2840 | 34.8% | 45.5% | BLS |
18 and 19 | 3870 | 5005 | 4964 | 29.3% | 28.3% | Naïve |
20 and 21 | 5715 | 6222 | 6255 | 8.9% | 9.5% | BLS |
22 to 24 | 9747 | 10519 | 10407 | 7.9% | 6.8% | Naïve |
25 to 29 | 16792 | 17599 | 17779 | 4.8% | 5.9% | BLS |
30 to 34 | 16673 | 17807 | 17659 | 6.8% | 5.9% | Naïve |
35 to 39 | 15658 | 16491 | 16026 | 5.3% | 2.3% | Naïve |
40 to 44 | 17076 | 17943 | 17571 | 5.1% | 2.9% | Naïve |
45 to 49 | 17456 | 18506 | 18301 | 6.0% | 4.8% | Naïve |
50 to 54 | 17598 | 18520 | 18574 | 5.2% | 5.5% | BLS |
55 to 59 | 14908 | 15039 | 14905 | 0.9% | 0.0% | Naïve |
60 and 61 | 4721 | 4678 | 4504 | 0.9% | 4.6% | BLS |
62 to 64 | 5081 | 4900 | 4813 | 3.6% | 5.3% | BLS |
65 to 69 | 4427 | 3889 | 4056 | 12.2% | 8.4% | Naïve |
70 to 74 | 1917 | 1522 | 1641 | 20.6% | 14.4% | Naïve |
75 to 79 | 853 | 607 | 615 | 28.8% | 27.9% | Naïve |
80 and over | 530 | 392 | 339 | 26.0% | 36.0% | BLS |
Examining the mean absolute percent errors and weighted mean absolute percent errors shown below in tables 3 and 4 reveals minor differences in the performance of the BLS projections and the naïve model. The substantially smaller weighted mean absolute percent errors indicate that the BLS projections and the naïve model both made smaller errors in the larger population cohorts.
Race | Sex | Mean absolute percent error | Best performer | |
---|---|---|---|---|
BLS | Naïve | |||
All | All | 12.2% | 12.6% | BLS |
All | Male | 11.7% | 11.6% | Naïve |
All | Female | 12.6% | 13.8% | BLS |
Race | Sex | Weighted mean absolute percent error | Best performer | |
---|---|---|---|---|
BLS | Naïve | |||
All | All | 6.7% | 6.1% | Naïve |
All | Male | 5.7% | 4.8% | Naïve |
All | Female | 8.1% | 8.0% | Naïve |
Dissimilarity indexes provide another measure of accuracy, but as with the measures presented above, BLS projections performed similarly to the naïve model for the 2002–12 labor force projections.
Race | Sex | BLS | Naïve | Best performer |
---|---|---|---|---|
All | All | 1.8% | 2.0% | BLS |
All | Male | 1.7% | 1.9% | BLS |
All | Female | 2.0% | 2.6% | BLS |
1These categories are: White, Black, Asian, Hispanic, White Hispanic, and White Non-Hispanic.
2These categories are: White, Black, Asian, Two or more, Hispanic, and White Non-Hispanic.
3Male and female, all detailed age groups.
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Last Modified Date: August 1, 2018