Benchmarks · Savings rate · 46–50 · Seattle · Engineering

Savings rate for Engineering professionals aged 46–50 in Seattle

Share of take-home income saved or invested each month.

Modeled estimate · federal survey data
Household-level figures: the underlying survey (Fed SCF) measures households, grouped by the reference person's age — combined for a couple, and they read high for a single person. Why, and how this changes as live data grows.
Median
20%
Upper quarter
30%
Top 10%
41%

Half of Engineering professionals aged 46–50 in Seattle have a savings rate above 20%. Reaching the upper quarter takes about 30%, and the top 10% starts at 41% — roughly 2.0× the median. The lower quarter sits below 12%, and the bottom 10% is under 7%.

Where do you land against Engineering professionals aged 46–50 in Seattle?
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The full distribution

PercentileSavings rateWhat it means
Bottom 10%7%9 in 10 are above this
Lower quarter12%25th percentile
Median20%half above, half below
Upper quarter30%75th percentile
Top 10%41%only 1 in 10 is above this
Average (mean)20%pulled up by the top end — the median is the better "typical"

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Savings rate by age in Seattle

AgeLower quarterMedian savings rateUpper quarterTop 10%
22–25 →2%8%16%25%
26–29 →4%11%20%30%
30–33 →5%13%22%33%
34–37 →6%14%24%35%
38–41 →7%15%25%36%
42–45 →8%16%26%37%
46–509%17%27%38%
50 and over →10%18%28%40%

More for Engineering professionals aged 46–50 in Seattle

Net worth →Income →Retirement savings →Investments →Monthly spending →
Monthly update · Engineering professionals aged 46–50 in Seattle

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Common questions

What is the median savings rate for Engineering professionals aged 46–50 in Seattle?
The median savings rate for Engineering professionals aged 46–50 in Seattle is 20%. Half of this group is above that figure and half below.
What savings rate puts you in the top 10% of Engineering professionals aged 46–50 in Seattle?
About 41%. The 90th percentile is the level only one in ten people in this group exceeds — roughly 2.0× the median.
Where do these numbers come from?
They are modeled percentile distributions fitted to this cohort from federal survey microdata — the Federal Reserve's Survey of Consumer Finances, the BLS Consumer Expenditure Survey, Census ACS and BLS wage data — and they blend toward anonymized, aggregated data from Keeping Up members as each cohort grows. Full methodology at keepingup.com/methodology.

How this is built. Percentiles are modeled for this cohort from federal survey microdata — Federal Reserve Survey of Consumer Finances, BLS Consumer Expenditure Survey, Census American Community Survey and BLS Occupational Employment & Wage Statistics — with metro cost-of-living and wage adjustments. As Keeping Up members in this cohort grow, the band blends toward anonymized, aggregated live data (minimum cohort sizes apply; no individual is ever identifiable). Seeded figures are household-level, as in the SCF; live cohorts are individual-level. Amounts are in current dollars. Read the full methodology.

Last updated June 2026. Cohort: Engineering professionals aged 46–50 in Seattle. Model sample basis: 40.