Median Weekly Earnings by Age Group — BLS Q4 2023
The Bureau of Labor Statistics publishes median usual weekly earnings for full-time wage and salary workers by age group each quarter. The Q4 2023 data (the most recent full-year benchmark available) shows a clear earnings arc across the career.
| Age group | Median weekly | Annual (×52) | vs. peak |
|---|---|---|---|
| 16–24 | $685 | $35,620 | −44% |
| 25–34 | $1,070 | $55,640 | −12% |
| 35–44 | $1,207 | $62,764 | −1% |
| 45–54 | $1,220 | $63,440 | Peak |
| 55–64 | $1,154 | $59,992 | −5% |
| 65+ | $1,048 | $54,496 | −14% |
Source: Bureau of Labor Statistics, Usual Weekly Earnings of Wage and Salary Workers, Q4 2023 (BLS.gov). Full-time workers only. Medians; not averages — average earnings are higher due to high earner skew.
Why Earnings Peak in the 45–54 Band
The 45–54 peak reflects the compounding of several factors over a 20–25 year career: accumulated industry expertise, management seniority, professional networks, and credential advancement. Workers in this band are typically in mid-to-senior individual contributor or management roles rather than entry-level or junior positions.
The slight decline from 55 onward does not necessarily mean older workers are paid less — it reflects composition effects. High earners in high-cost metropolitan areas often retire earlier, leaving the 55–64 working population weighted toward workers in lower-cost areas or less-senior roles. Additionally, some workers voluntarily step back to part-time arrangements, which BLS excludes, or to bridge employment before retirement.
The Gender Pay Gap — What the 16.3% Reflects
In Q4 2023, women working full-time earned a median of $1,017 per week; men earned $1,214 per week — a gap of $197, or 16.3% (Source: BLS, Table 1). This is the headline gap in median earnings, not a controlled within-occupation comparison.
Two main factors explain most of the gap:
1. Occupation and industry mix. Women are more concentrated, as a group, in occupations with lower median pay (education, social work, administrative support) and less concentrated in higher-paying fields (engineering, finance, technology). This reflects both historical barriers that have substantially narrowed and ongoing differences in field selection. Research by economists Claudia Goldin (2023 Nobel laureate in Economics) and others finds this factor accounts for a significant portion of the earnings gap at the aggregate level.
2. Career interruptions. Women are statistically more likely to take parental leave, work part-time for a period, or exit the workforce temporarily for caregiving. Even short career gaps compound over time through lost seniority, reduced raises, and slower promotion timelines. Research from Harvard Business School and NBER finds that the earnings penalty for career interruptions is largest in high-paying, high-demand occupations like finance and law where hours-intensity is highest.
Within the same occupation, hours worked, and experience level, controlled pay gaps are substantially smaller — but research consistently finds they are not zero. Estimates vary widely by study design and data source; a reasonable range from peer-reviewed literature is 5–8% within-occupation for comparable workers (Source: NBER Working Paper No. 18533, Goldin 2014; National Academy of Sciences 2020 report on pay equity).
What These Numbers Mean for Career Planning
The BLS data is a useful benchmark, not a ceiling. The 25–34 median of $1,070/week ($55,640 annually) is a midpoint — roughly half of 25-to-34-year-old full-time workers earn more, half earn less. Field, employer, geographic market, and education level create significant variance around these medians.
The steepest earnings growth typically happens between the early 20s and mid-30s — a window where job-switching tends to produce larger income gains than staying put. Research from the Atlanta Federal Reserve's Wage Growth Tracker shows that workers who switched jobs consistently earned higher wage growth than job-stayers from 2014 to 2023.