Benchmarks · Savings rate · 26–29 · SF

Savings rate for people aged 26–29 in San Francisco

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

Modeled estimate · federal survey data
Median
11%
Upper quarter
20%
Top 10%
30%

Half of people aged 26–29 in San Francisco have a savings rate above 11%. Reaching the upper quarter takes about 20%, and the top 10% starts at 30% — roughly 2.7× the median. The lower quarter sits below 4%, and the bottom 10% is negative — more owed than owned.

The full distribution

PercentileSavings rateWhat it means
Bottom 10%-2%9 in 10 are above this
Lower quarter4%25th percentile
Median11%half above, half below
Upper quarter20%75th percentile
Top 10%30%only 1 in 10 is above this
Average (mean)11%pulled up by the top end — the median is the better "typical"

Where do you stand?

Connect your accounts and Keeping Up shows your exact percentile against people aged 26–29 in San Francisco — plus savings rate, spending by category and net worth over time. Read-only bank access via Plaid; your numbers are never shown to anyone.

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Savings rate by age in San Francisco

AgeLower quarterMedian savings rateUpper quarterTop 10%
22–252%8%16%25%
26–294%11%20%30%
30–335%13%22%33%
34–376%14%24%35%
38–417%15%25%36%
42–458%16%26%37%
46–509%17%27%38%
50 and over10%18%28%40%

Savings rate at 26–29 by city

MetroLower quarterMedian savings rateUpper quarterTop 10%
New York City4%11%20%30%
San Francisco4%11%20%30%
Los Angeles4%11%20%30%
Chicago4%11%20%30%
Boston4%11%20%30%
Washington, DC4%11%20%30%
Seattle4%11%20%30%
Austin4%11%20%30%

More for people aged 26–29 in San Francisco

Net worthIncomeRetirement savingsInvestmentsMonthly spending

Common questions

What is the median savings rate for people aged 26–29 in San Francisco?
The median savings rate for people aged 26–29 in San Francisco is 11%. Half of this group is above that figure and half below.
What savings rate puts you in the top 10% of people aged 26–29 in San Francisco?
About 30%. The 90th percentile is the level only one in ten people in this group exceeds — roughly 2.7× 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). Amounts are in current dollars. Read the full methodology.

Last updated June 2026. Cohort: people aged 26–29 in San Francisco. Model sample basis: 120.