Benchmarks · Retirement savings · 30–33 · Seattle · Engineering

Retirement savings for Engineering professionals aged 30–33 in Seattle

Balances across 401(k), 403(b), IRA and other retirement accounts.

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
$36K
Upper quarter
$106K
Top 10%
$267K

Half of Engineering professionals aged 30–33 in Seattle have a retirement savings above $36,234. Reaching the upper quarter takes about $106,125, and the top 10% starts at $266,960 — roughly 7.4× the median. The lower quarter sits below $9,571, and the bottom 10% is under $1,550.

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The full distribution

PercentileRetirement savingsWhat it means
Bottom 10%$1,5509 in 10 are above this
Lower quarter$9,57125th percentile
Median$36,234half above, half below
Upper quarter$106,12575th percentile
Top 10%$266,960only 1 in 10 is above this
Average (mean)$45,293pulled up by the top end — the median is the better "typical"

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Retirement savings by age in Seattle

AgeLower quarterMedian retirement savingsUpper quarterTop 10%
22–25 →$601$4,880$17K$46K
26–29 →$3,607$13K$40K$96K
30–33$7,214$27K$77K$186K
34–37 →$12K$46K$124K$283K
38–41 →$19K$73K$199K$437K
42–45 →$29K$107K$286K$604K
46–50 →$43K$153K$385K$797K
50 and over →$63K$214K$522K$1.1M

More for Engineering professionals aged 30–33 in Seattle

Net worth →Income →Investments →Savings rate →Monthly spending →
Monthly update · Engineering professionals aged 30–33 in Seattle

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Common questions

What is the median retirement savings for Engineering professionals aged 30–33 in Seattle?
The median retirement savings for Engineering professionals aged 30–33 in Seattle is $36,234. Half of this group is above that figure and half below.
What retirement savings puts you in the top 10% of Engineering professionals aged 30–33 in Seattle?
About $266,960. The 90th percentile is the level only one in ten people in this group exceeds — roughly 7.4× 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 30–33 in Seattle. Model sample basis: 40.