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ACTUARIAL NOTE SOCIAL SECURITY ADMINISTRATION
Number 2026.3
June 2026
Actuarial Services
Baltimore, Maryland
SCALED FACTORS FOR HYPOTHETICAL EARNINGS EXAMPLES UNDER THE
2026 TRUSTEES REPORT ASSUMPTIONS
by Kyle Burkhalter, FSA, and Karen Rose, ASA
1. Introduction
Actuarial Services has traditionally used hypothetical
earnings patterns to illustrate a range of benefit levels,
replacement rates, money’s worth measures, and internal
rates of return under the Social Security program. We
have long used these illustrations to evaluate the
program under current law. In addition, these
hypothetical earnings patterns have served as a basis for
illustrating the effects of possible program changes on
benefit levels.1
Between 2001 and 2004, we developed scaled worker
hypothetical earnings patterns for four different career-
average earnings levels. These patterns express the
hypothetical earnings at each age as a percent of the
national average wage index (AWI).
2 Each of the four
scaled patterns derives from one set of raw scaled factors
based on average work and earnings of actual insured
workers over their careers. At each age, the raw scaled
factor reflects both the average earnings level of those
who worked at that age and the percent of insured
workers who actually worked at that age.
This note presents the four sets of scaled worker factors
recently updated for the hypothetical very low, low,
medium, and high lifetime earnings examples used in
table V.C7 of the 2026 Trustees Report. Table 6 shows
these final scaled factors. In many publications, we also
include a hypothetical “maximum” earner with earnings
equal to the OASDI maximum taxable earnings level for
each year. The scaled worker hypothetical earnings
patterns and the maximum earner pattern provide a wide
range of career taxable earnings levels under the Social
Security program.
1 Refer to the February 2, 2011 letter from Stephen C. Goss for an
example of this illustrative benefits analysis. This letter is located at:
http://www.ssa.gov/OACT/solvency/BowlesSimpsonRivlinDomenici
_20110202.pdf.
2 For more information on the national average wage index, including
historical values, see: http://www.ssa.gov/OACT/COLA/AWI.html.
Prior to the development of scaled workers, we
generally used hypothetical steady workers, who earn a
constant percentage of the AWI each year throughout
their careers. These hypothetical steady earnings patterns
tended to over-represent the proportion of actual lifetime
earnings received at younger and older ages, and under-
represent the proportion received at prime working ages
for most workers.
In developing these four sets of scaled factors, we
initially develop one set of raw scaled factors using
earnings from the Continuous Work History Sample
(CWHS). We make a preliminary adjustment to these
raw factors for ages 62 and older to account for the
select nature of these workers who continue working at
such ages. Then, these preliminary adjusted scaled
factors are further adjusted so that the resulting career-
average earnings levels3 are 25 percent, 45 percent, 100
percent, and 160 percent of the AWI for the very low,
low, medium, and high hypothetical workers,
respectively. We select these career-average earnings
levels to provide both a representative range of examples
and continuity with previous estimates for hypothetical
workers.
Table 1 compares overall earnings for these hypothetical
workers to those of actual retiring workers.4 We use the
Average Indexed Monthly Earnings5 (AIME), which is
based on a worker’s earnings, as a measure of overall
earnings. We develop the distribution of actual workers
retiring in 2020 through 2025 from 1 percent samples of
Social Security Administration administrative records.
3 We define career-average earnings as the average of the highest 35
years of earnings, indexed for growth in average wages to the year
prior to benefit entitlement. See further discussion under subsection
3.b. We introduced the career-average earnings concept with the
2002 Trustees Report.
4 For purposes of this Actuarial Note, “actual retiring workers” are
workers who begin receiving their retired worker benefit.
5 See http://www.ssa.gov/OACT/COLA/Benefits.html#aime for more
details on how to calculate the AIME.
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Table 1.—Distribution of AIMEs of Actual Workers Retiring in Years 2020 to 2025,
Relative to AIMEs for Hypothetical Workers Retiring in 2025
Hypothetical worker1
(Career-average earnings)2
Percent with AIME less than AIME
for hypothetical case
Percent with AIME closest to AIME
for hypothetical case3
All
men
All
women
Total,
all
workers
All
men
All
women
Total,
all
workers
Very Low ($17,353) ..................... 8.7 15.6 12.2 13.2 23.7 18.6
Low ($31,235) ........................ 17.8 31.9 24.9 17.6 29.3 23.5
Medium ($69,410) .................... 45.5 70.3 58.1 30.5 30.0 30.2
High ($111,057) ................... 74.4 90.7 82.7 26.3 13.7 19.9
Maximum ($171,995) .................. 100.0 100.0 100.0 12.4 3.3 7.8
1 See text for definition of hypothetical workers.
2 Career-average earnings of hypothetical scaled workers retiring at age 62 in 2025. Earnings are wage indexed to 2024 in this calculation.
3 Rounded values do not necessarily sum to 100 percent. The percentage of workers with AIME values closest to that of the hypothetical maximum worker is expected
to decline in future years. This is due to a significant increase in the OASDI maximum taxable earnings, relative to the AWI, in 1981 and a smaller increase in 1990.
Note: Worker distributions include individuals who are dually entitled, or may become dually entitled to a higher benefit in the future, based on another worker’s
account.
Table 1 shows that 31.9 percent of female workers
retiring in 2020 through 2025 have AIMEs below that of
a hypothetical low wage scaled worker and that about 42
percent of all workers retiring in 2020 through 2025
have AIMEs closest to that of hypothetical low or very
low wage scaled workers.
Dually entitled workers are insured for worker benefits,
but are entitled to a larger benefit as a dependent on
another worker’s account (generally as a spouse or
widow(er)) than they are entitled to as a worker
beneficiary only. A significant proportion of entitled
female workers, especially those with lower earnings,
will be entitled to higher benefits as aged spouse or aged
widow beneficiaries. If we excluded such dually entitled
workers from this analysis, a higher percentage of the
remaining workers would have earnings closer to the
higher-level hypothetical workers.
2. Developing Raw Scaled Factors from Earnings in
the CWHS
The raw scaled factors are developed in three steps:
• Select workers in the CWHS for computing the
factors;
• Tabulate the earnings for these workers; and
• Develop the raw scaled factors from the tabulated
earnings.
a. Select Workers in the CWHS for Computing the
Factors
The CWHS is a 1-percent sample of workers with some
OASDI taxable earnings during their lifetime. The
Social Security Administration’s Chief Information
Officer organization updates the CWHS annually based
on internally-developed specifications. We develop the
factors in this actuarial note using the CWHS containing
earnings data through 2023. The CWHS contains
earnings for all workers in the sample. It is important to
limit analysis to the following groups of workers: those
who are likely to be eligible for retirement or disability
benefits, and those who are likely to have dependents
eligible for survivor benefits. To include only those
workers, we used the status of fully insured. A worker is
considered fully insured if he or she has a total number
of quarters of coverage (QCs)6 at least equal to the
number of years after attainment of age 21 through the
last year considered in the analysis (in this case 2022). A
further requirement is that the worker must have a
minimum of 6 QCs. Because a worker achieves
permanent insured status with 40 QCs, any worker with
40 QCs is fully insured no matter how many years have
elapsed since age 21. Any fully insured worker is likely
to become eligible for a Social Security retirement
benefit if he or she survives to eligibility age.
6 The QC is the basic unit for determining whether a worker is
insured for Social Security benefits. In 2026, for example, a worker
needed to have $1,890 in covered earnings to obtain a QC. Workers
can earn up to 4 QCs per calendar year. Since 1978, the amount of
covered earnings required to obtain a QC has been automatically
indexed each year with the growth in the AWI. See
http://www.ssa.gov/OACT/COLA/QC.html for more information,
including a list of historical QC amounts.
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b. Tabulate Earnings for These Workers
The updated CWHS file contains taxable earnings for
years 1951 through 2023. Due to posting delays, the
earnings for 2023 in this file are less complete than for
earlier years and were not used in our analysis. For each
of the workers classified as fully insured as of 2022
(based on all earnings after 1950), our analysis includes
earnings for the most recent 20-year period (2003
through 2022) for ages 21 and older. We classify
earnings by age of worker, and express earnings as their
ratio to the AWI for the specific year.
We develop scaled factors considering both the
variations in earnings by age and the probabilities that
workers may have years with zero earnings. The
earnings records selected include years with zero
earnings, but not years in which the worker was
deceased7 or receiving a retired-worker or disabled-
worker Social Security benefit.
c. Develop Raw Scaled Factors from the Tabulated
Earnings
To normalize earnings from different years, annual
earnings amounts for each year are divided by the AWI
for that year. For each fully insured worker, normalized
earnings are tabulated by age for each age 21 and older
for years 2003 through 2022. The normalized earnings
are summed by age, and a corresponding worker count is
kept. The raw scaled factors are determined by dividing
the tabulated sum for each age, including years with zero
earnings, by the corresponding numbers of workers.
Table 2 displays the results.
7 Data concerning worker deaths appears in the CWHS. However,
death data in the CWHS does not include all state-reported death
data. Therefore, we also used the Social Security Administration’s
NUMIDENT file to identify deaths of individuals in the CWHS. The
NUMIDENT file contains, among other things, death data including
state-reported deaths.
Table 2.—Raw Scaled Worker Factors
for the 2026 Trustees Report
Age
Percent with
Earnings
Average
earnings as
% of AWI
for those
with earnings Factor
21 0.815 0.277 0.226
22 0.831 0.335 0.279
23 0.844 0.423 0.357
24 0.849 0.502 0.426
25 0.849 0.565 0.480
26 0.851 0.620 0.527
27 0.852 0.671 0.571
28 0.853 0.717 0.611
29 0.853 0.758 0.647
30 0.851 0.797 0.678
31 0.850 0.830 0.706
32 0.848 0.862 0.732
33 0.848 0.890 0.754
34 0.848 0.914 0.775
35 0.847 0.936 0.793
36 0.847 0.954 0.808
37 0.847 0.970 0.822
38 0.847 0.985 0.834
39 0.849 0.996 0.845
40 0.849 1.007 0.854
41 0.849 1.016 0.863
42 0.849 1.024 0.870
43 0.849 1.031 0.876
44 0.849 1.039 0.882
45 0.848 1.045 0.887
46 0.847 1.051 0.890
47 0.846 1.056 0.893
48 0.844 1.059 0.894
49 0.842 1.062 0.894
50 0.839 1.065 0.893
51 0.836 1.067 0.892
52 0.832 1.067 0.888
53 0.828 1.067 0.883
54 0.822 1.065 0.876
55 0.817 1.062 0.867
56 0.808 1.053 0.851
57 0.799 1.042 0.832
58 0.788 1.031 0.812
59 0.775 1.018 0.788
60 0.758 1.000 0.758
61 0.734 0.977 0.717
62 0.782 1.073 0.839
63 0.781 1.098 0.858
64 0.769 1.100 0.846
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3. Adjust Raw Scaled Factors to Match Selected
Career-Average Earnings Levels
The raw scaled factors are adjusted in three steps:
• Calculate preliminary adjusted scaled factors from
the raw scaled factors by overriding the scaled
factors at ages 62 through 64;
• Construct the earnings pattern and calculate the
career-average earnings for a hypothetical scaled
worker using the preliminary adjusted scaled
factors; and
• Calculate very low, low, medium, and high final
scaled factors from the preliminary adjusted
scaled factors such that the career-average
earnings for these hypothetical workers match the
selected percentages of the AWI for the year prior
to entitlement (25, 45, 100 and 160 percent).
a. Calculate Preliminary Adjusted Scaled Factors from
Raw Scaled Factors
The following values, based on table 2, show that there
is an accelerating decline in raw factors at ages 60 and
61, followed by increases at ages 62 and 63:
Age Raw Scaled Factor Difference
55 0.867 ---
56 0.851 -0.016
57 0.832 -0.019
58 0.812 -0.020
59 0.788 -0.024
60 0.758 -0.031
61 0.717 -0.040
62 0.839 0.122
63 0.858 0.019
64 0.846 -0.012
We do not have definitive information on the reasons for
these changes after age 59. However, it seems
reasonable to assume that some of the decline in the raw
factors at ages 60 and 61 is due to the retirement (total or
partial) of some workers before they became entitled to
their OASDI retirement benefits at age 62. The increases
in the raw factors at ages 62 and 63 may occur because
healthier, higher-wage workers, and workers who have
maintained consistent employment at older ages, are
more likely to delay entitlement to OASDI benefits until
after age 62. Our methodology removes the earnings of
many non-workers, low-wage workers, and less-healthy
workers from the tabulated group starting at age 62
because they started to receive Social Security retirement
benefits.
Due to the differences between the groups of workers
represented in data for ages just before versus just after
reaching age 62, we develop a smoother set of
“adjusted” raw factors for ages 62 through 64. Here we
assume that earnings for workers older than age 61 will
stay constant in nominal dollars, thus decreasing relative
to the AWI.
The preliminary adjusted scaled factors equal the raw
scaled factors for ages up to 61. Table 3 shows factors
for ages 62 through 64, calculated so that earnings in
nominal dollars stay constant at the level for age 61. For
example, we calculate the preliminary adjusted factor for
age 62 by dividing the factor for age 61 by the ultimate
assumed annual increase in average wages under the
intermediate assumptions of the 2026 Trustees Report.
Though it provides an imperfect approximation for all
types of workers, we adopted this approach to avoid
having different scaled factors for workers who become
entitled to OASDI benefits at different ages.
Table 3.—Scaled Factor Adjustments Made for Ages After 61
Age 61 62 63 64
Raw scaled factor 0.717 0.839 0.858 0.846
Ultimate AWI increase since age 61, based on
2026 Trustees Report, Intermediate Assumptions 1 1.0357 (1.0357)2 (1.0357)3
Preliminary adjusted scaled factor
(age 61 raw scaled factor) / (Ultimate AWI increase) 0.717 0.693 0.669 0.646
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b. Construct the Earnings Pattern and Calculate the
Career-Average Earnings for a Selected Hypothetical
Scaled Worker Using the Preliminary Adjusted Scaled
Factors
The selected hypothetical scaled worker (referred to as
the 1960-born preliminary scaled worker) was born on
January 2, 1960, has earnings from age 21 through 64,
and retires at age 65. We calculate earnings for each year
by multiplying the preliminary adjusted scaled factor for
that age by the AWI value for the corresponding year.
This worker turns age 22 in 1982, so the age 22
preliminary adjusted factor 0.278758 (rounded to 0.279
in Table 4) is multiplied by the 1982 AWI of $14,531.34
to obtain annual earnings of $4,050.73. Table 4 shows
the preliminary adjusted scaled factors, AWI amounts,
and corresponding hypothetical earnings for the 1960-
born preliminary scaled worker.
The last line of table 4 shows career-average earnings of
$57,103 (wage indexed to 2024) for the 1960-born
preliminary scaled worker. This is a slightly different
calculation than the AIME because (1) earnings are
indexed to the year prior to entitlement rather than to
two years prior to eligibility, and (2) earnings are
averaged on an annual basis instead of a monthly basis.
For the 1960-born preliminary scaled worker, who
retires at age 65 in 2025, the indexing year used to
compute career-average earnings is 2024.
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Table 4.—Computation of the Earnings Record and the Career-Average Earnings for the 1960-Born Preliminary Scaled
Worker Based on the Preliminary Adjusted Scaled Factors and the AWI Series
Year Age
Preliminary
adjusted scaled
factors
(1)
AWI for current year
(2)
Estimated earnings
for current year
(1)*(2)
(3)
Earnings wage
indexed to 2024
(4)
1981 21 0.226 $13,773.10 $3,109.99 $15,771.48
1982 22 0.279 14,531.34 4,050.73 19,470.30
1983 23 0.357 15,239.24 5,435.27 24,911.67
1984 24 0.426 16,135.07 6,877.44 29,771.52
1985 25 0.480 16,822.51 8,076.40 33,532.98
1986 26 0.527 17,321.82 9,136.71 36,841.85
1987 27 0.571 18,426.51 10,526.90 39,902.72
1988 28 0.611 19,334.04 11,817.80 42,693.24
1989 29 0.647 20,099.55 12,996.33 45,162.66
1990 30 0.678 21,027.98 14,255.20 47,350.09
1991 31 0.706 21,811.60 15,396.61 49,304.06
1992 32 0.732 22,935.42 16,777.56 51,093.68
1993 33 0.754 23,132.67 17,446.59 52,678.07
1994 34 0.775 23,753.53 18,403.90 54,116.14
1995 35 0.793 24,705.66 19,587.93 55,377.99
1996 36 0.808 25,913.90 20,948.02 56,461.87
1997 37 0.822 27,426.00 22,550.26 57,429.39
1998 38 0.834 28,861.44 24,073.82 58,260.22
1999 39 0.845 30,469.84 25,743.33 59,011.90
2000 40 0.854 32,154.82 27,464.36 59,657.97
2001 41 0.863 32,921.92 28,405.99 60,265.65
2002 42 0.870 33,252.09 28,916.52 60,739.63
2003 43 0.876 34,064.95 29,836.30 61,176.17
2004 44 0.882 35,648.55 31,449.44 61,619.21
2005 45 0.887 36,952.94 32,764.51 61,929.81
2006 46 0.890 38,651.41 34,408.64 62,179.50
2007 47 0.893 40,405.48 36,073.00 62,357.27
2008 48 0.894 41,334.97 36,950.69 62,438.15
2009 49 0.894 40,711.61 36,390.15 62,432.49
2010 50 0.893 41,673.83 37,235.32 62,407.50
2011 51 0.892 42,979.61 38,338.54 62,304.32
2012 52 0.888 44,321.67 39,368.55 62,040.94
2013 53 0.883 44,888.16 39,623.45 61,654.61
2014 54 0.876 46,481.52 40,703.03 61,163.38
2015 55 0.867 48,098.63 41,692.08 60,543.28
2016 56 0.851 48,642.15 41,389.36 59,432.09
2017 57 0.832 50,321.89 41,881.80 58,131.76
2018 58 0.812 52,145.80 42,342.29 56,715.28
2019 59 0.788 54,099.99 42,651.30 55,065.57
2020 60 0.758 55,628.60 42,145.51 52,917.37
2021 61 0.717 60,575.07 43,456.80 50,108.21
2022 62 0.693 63,795.13 44,189.32 48,381.00
2023 63 0.669 66,621.80 44,556.62 46,713.34
2024 64 0.646 69,846.57 45,103.16 45,103.16
Career-Average Earnings………………………………………………………………………………………… $57,103.00
Note: We base career-average earnings on the highest 35 years of indexed earnings (column 4). Years 1981 through 1988 and 2024
are excluded because they are not among the highest 35 years of indexed earnings.
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c. Calculate Very Low, Low, Medium, and High Final
Scaled Factors from the Preliminary Adjusted Scaled
Factors such that the Career-Average Earnings for
These Selected Hypothetical Workers Match the
Selected Percentages of the AWI in the Year Prior to
Entitlement
The selected career-average earnings level for the
medium scaled worker is the AWI in the year prior to
entitlement. Similarly, the selected career-average
earnings levels for the very low, low, and high scaled
workers are 25 percent, 45 percent and 160 percent of
the AWI in the year prior to entitlement, respectively. As
noted earlier, the career-average earnings for the 1960-
born preliminary scaled worker equals $57,103, wage
indexed to 2024 (see table 4). By comparison, the AWI
for 2024 is $69,846.57. Corresponding career-average
earnings levels for a very low, low, and high earner are
$17,462, $31,431, and $111,755, respectively. Table 5
summarizes this information and provides the ratio of
the selected career-average earnings levels to the career-
average earnings for the 1960-born preliminary scaled
worker.
A primary reason for choosing the year prior to
entitlement as the indexing year in computing the career-
average earnings is to provide a reasonable denominator
for replacement rate calculations.
8
8 This choice of denominator maintains consistency with replacement
rates computed prior to 2001 using hypothetical steady workers.
More information about replacement rates appears in recurring
Actuarial Note Number 2026.9 at
http://www.ssa.gov/OACT/NOTES/ran9/an2026-9.pdf.
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Table 5.—Table of Key Ratios Used to Finalize Scaled Worker Calculations
Case
Selected career-average
earnings levels for
hypothetical scaled workers
(1)
Career-average earnings of
the 1960-born preliminary
selected scaled worker
(2)
Ratio
(1) / (2)
(3)
Very low earner ………………………….. $17,462 $57,103 0.306
Low earner ……………………………….. 31,431 57,103 0.550
Medium earner …………………………… 69,847 57,103 1.223
High earner ………………………………. 111,755 57,103 1.957
The last step is to apply the ratios from table 5 to the
preliminary adjusted scaled factors. This step requires
four separate calculations, one each for the very low,
low, medium, and high scaled worker cases. For
example, we determine the scaled factors for the
hypothetical medium scaled worker by multiplying:
• The preliminary adjusted scaled factors for ages
21 through 64, by
• The ratio of 1.223 shown in tables 5 and 6.
Table 6 shows the calculation of the final scaled factors,
combining the preliminary adjusted scaled factors with
the adjustment factors.
Table 6.—Calculation of Final Scaled Factors
Adjustment Factors……………………………….
Final Scaled Factors by Earnings Level
Very low Low Medium High
Age
Preliminary adjusted
scaled factors 0.306 0.550 1.223 1.957
21 0.226 0.069 0.124 0.276 0.442
22 0.279 0.085 0.153 0.341 0.546
23 0.357 0.109 0.196 0.436 0.698
24 0.426 0.130 0.235 0.521 0.834
25 0.480 0.147 0.264 0.587 0.940
26 0.527 0.161 0.290 0.645 1.032
27 0.571 0.175 0.314 0.699 1.118
28 0.611 0.187 0.336 0.748 1.196
29 0.647 0.198 0.356 0.791 1.265
30 0.678 0.207 0.373 0.829 1.327
31 0.706 0.216 0.389 0.863 1.381
32 0.732 0.224 0.403 0.895 1.432
33 0.754 0.231 0.415 0.923 1.476
34 0.775 0.237 0.426 0.948 1.516
35 0.793 0.242 0.436 0.970 1.552
36 0.808 0.247 0.445 0.989 1.582
37 0.822 0.251 0.453 1.006 1.609
38 0.834 0.255 0.459 1.020 1.632
39 0.845 0.258 0.465 1.033 1.653
40 0.854 0.261 0.470 1.045 1.672
41 0.863 0.264 0.475 1.055 1.689
42 0.870 0.266 0.479 1.064 1.702
43 0.876 0.268 0.482 1.071 1.714
44 0.882 0.270 0.486 1.079 1.727
45 0.887 0.271 0.488 1.085 1.735
46 0.890 0.272 0.490 1.089 1.742
47 0.893 0.273 0.491 1.092 1.747
48 0.894 0.273 0.492 1.093 1.749
49 0.894 0.273 0.492 1.093 1.749
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Table 6.—Calculation of Final Scaled Factors (Cont.)
Adjustment Factors……………………………….
Final Scaled Factors by Earnings Level
Very low Low Medium High
Age
Preliminary adjusted
scaled factors 0.306 0.550 1.223 1.957
50 0.893 0.273 0.492 1.093 1.749
51 0.892 0.273 0.491 1.091 1.746
52 0.888 0.272 0.489 1.086 1.738
53 0.883 0.270 0.486 1.080 1.728
54 0.876 0.268 0.482 1.071 1.714
55 0.867 0.265 0.477 1.060 1.696
56 0.851 0.260 0.468 1.041 1.665
57 0.832 0.255 0.458 1.018 1.629
58 0.812 0.248 0.447 0.993 1.589
59 0.788 0.241 0.434 0.964 1.543
60 0.758 0.232 0.417 0.927 1.483
61 0.717 0.219 0.395 0.878 1.404
62 0.693 0.212 0.381 0.847 1.356
63 0.669 0.205 0.368 0.818 1.309
64 0.646 0.197 0.355 0.790 1.264
4. Developing Hypothetical Worker Earnings from
Factors
Given a year of birth, and an earnings level for scaled
workers, classified as either very low, low, medium, or
high, one can obtain annual earnings by multiplying the
relevant set of scaled factors by the AWIs in the
corresponding years. For example, consider a low
earnings worker born in 1970. To determine earnings for
this worker at age 22, multiply the scaled factor for the
low scaled worker at age 22 by the AWI in 1992, the
year in which the worker turns 22. Because the
hypothetical workers are born in January, a year of age
corresponds to a calendar year. Therefore, a worker born
on January 2, 1970 would be age 22 throughout 1992. In
this way, one can develop a series of very low, low,
medium, and high scaled earnings for any age and
hypothetical year of birth. Table 7 carries out the
calculation of hypothetical scaled worker earnings for
high earnings workers for the selected years of birth
1949, 1973, and 1997.
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Table 7.—Example: Developing Earnings for the Hypothetical High Earners Born in 1949, 1973, and 1997
Year of birth……. 1949 1973 1997
Age
Final
scaled
factors for
high earner
(1)
AWI
(2)
Age-scaled
earnings
(1)*(2)
(3)
AWI
(4)
Age-scaled
earnings
(1)*(4)
(5)
AWI
(6)
Age-scaled
earnings
(1)*(6)
(7)
21 0.442 $6,186.24 $2,733.76 $23,753.53 $10,496.92 $52,145.80 $23,043.76
22 0.546 6,497.08 3,544.47 24,705.66 13,478.14 54,099.99 29,514.18
23 0.698 7,133.80 4,979.49 25,913.90 18,088.27 55,628.60 38,829.55
24 0.834 7,580.16 6,323.26 27,426.00 22,878.36 60,575.07 50,530.82
25 0.940 8,030.76 7,545.53 28,861.44 27,117.60 63,795.13 59,940.57
26 1.032 8,630.92 8,909.62 30,469.84 31,453.75 66,621.80 68,773.10
27 1.118 9,226.48 10,315.72 32,154.82 35,950.89 69,846.57 78,092.37
28 1.196 9,779.44 11,698.60 32,921.92 39,382.67 72,025.07 86,159.61
29 1.265 10,556.03 13,357.99 33,252.09 42,078.42 75,246.70 95,219.95
30 1.327 11,479.46 15,230.13 34,064.95 45,194.94 78,286.92 103,865.48
31 1.381 12,513.46 17,287.06 35,648.55 49,247.67 81,537.43 112,642.12
32 1.432 13,773.10 19,717.87 36,952.94 52,902.62 85,047.82 121,756.28
33 1.476 14,531.34 21,448.48 38,651.41 57,050.08 88,895.99 131,211.87
34 1.516 15,239.24 23,107.41 40,405.48 61,267.22 92,915.31 140,888.38
35 1.552 16,135.07 25,036.24 41,334.97 64,138.07 96,989.47 150,495.27
36 1.582 16,822.51 26,613.81 40,711.61 64,407.23 101,085.63 159,921.09
37 1.609 17,321.82 27,873.32 41,673.83 67,059.24 105,045.59 169,033.61
38 1.632 18,426.51 30,079.89 42,979.61 70,160.97 109,064.86 178,040.15
39 1.653 19,334.04 31,968.57 44,321.67 73,285.28 113,112.48 187,029.96
40 1.672 20,099.55 33,598.19 44,888.16 75,034.57 117,242.36 195,981.09
41 1.689 21,027.98 35,508.18 46,481.52 78,489.43 121,528.53 205,215.01
42 1.702 21,811.60 37,121.09 48,098.63 81,858.89 125,983.85 214,411.48
43 1.714 22,935.42 39,314.25 48,642.15 83,378.88 130,576.20 223,824.35
44 1.727 23,132.67 39,939.52 50,321.89 86,882.85 135,325.06 233,644.39
45 1.735 23,753.53 41,218.19 52,145.80 90,485.74 140,239.16 243,349.31
46 1.742 24,705.66 43,043.23 54,099.99 94,255.25 145,313.35 253,170.96
47 1.747 25,913.90 45,277.34 55,628.60 97,195.53 150,555.40 263,053.75
48 1.749 27,426.00 47,981.47 60,575.07 105,975.39 155,964.90 272,858.81
49 1.749 28,861.44 50,488.18 63,795.13 111,598.74 161,545.30 282,596.05
50 1.749 30,469.84 53,280.46 66,621.80 116,496.84 167,321.25 292,582.86
51 1.746 32,154.82 56,133.92 69,846.57 121,933.87 173,286.57 302,513.09
52 1.738 32,921.92 57,230.11 72,025.07 125,205.41 179,452.26 311,952.40
53 1.728 33,252.09 57,444.12 75,246.70 129,991.25 185,819.54 321,009.61
54 1.714 34,064.95 58,379.49 78,286.92 134,165.78 192,394.84 329,720.53
55 1.696 35,648.55 60,474.03 81,537.43 138,319.71 199,198.57 337,919.51
56 1.665 36,952.94 61,536.26 85,047.82 141,626.75 206,238.61 343,440.96
57 1.629 38,651.41 62,956.40 88,895.99 144,796.05 213,512.79 347,775.07
58 1.589 40,405.48 64,209.81 92,915.31 147,655.08 221,029.75 351,246.36
59 1.543 41,334.97 63,776.23 96,989.47 149,646.23 228,806.23 353,027.90
60 1.483 40,711.61 60,363.94 101,085.63 149,881.74 236,861.66 351,199.64
61 1.404 41,673.83 58,510.44 105,045.59 147,484.97 245,212.23 344,280.21
62 1.356 42,979.61 58,263.75 109,064.86 147,849.82 253,867.58 344,146.38
63 1.309 44,321.67 58,012.03 113,112.48 148,051.40 262,840.05 344,027.79
64 1.264 44,888.16 56,728.31 117,242.36 148,167.37 272,142.40 343,925.37
