Best city for remote work? San Francisco, CA

B
Score
57/100
Rank #50 (top 200 cities)
Data: ACS 2023 (5-year)

San Francisco is a strong match for remote work if you value median household income alongside work-from-home share. Overall, it’s a solid performer in this set (#50 of 200). One thing to keep in mind is typical rent (2br).

Methodology · Sources · CA rankings

Scope note (city proper)

This page scores the incorporated city limits (Census “Place”), not the metro area. That’s why some cities can look very different vs their surrounding region.

Why San Francisco ranks here

  • Work-from-home share: 27% (123% higher than the national median; better for this metric).
  • Median household income: $141,446 (87% higher than the national median; better for this metric).
  • Broadband subscription: 92% (1% higher than the national median; better for this metric).

Watch-outs

  • Typical rent (2BR): $2,982/mo (107% higher than the national median; worse for this metric).
  • Commute 45+ min share: 23% (101% higher than the national median; worse for this metric).

City snapshot

Basic demographics from ACS 2023 (city proper).

Population
836,321
Estimated total population (ACS).
Male vs female
Male 51%Female 49%

Key metrics

Values shown are from ACS 2023. National medians are computed across the ranked city set.

Typical rent (2BR)
$2,982/mo
National median: $1,441/mo
Work-from-home share
27%
National median: 12%
Broadband subscription
92%
National median: 91%
Median household income
$141,446
National median: $75,598
Bachelor’s+ rate
60%
National median: 35%
Commute 45+ min share
23%
National median: 11%

Score breakdown (by category)

Category scores are 0–100 and summarize groups of metrics used in the final score.

City
National median (dataset)
Affordability
Typical 2BR rent and housing pressure.
0/100
Connectivity
Broadband availability as a practical remote-work proxy.
92/100
Workforce
Remote-work adoption and human-capital signals.
63/100
Comfort
Commute friction and climate comfort.
77/100

Education (age 25+)

Share of adults by attainment (ACS).

11%
Less than HS
29%
HS / Some college
35%
Bachelor’s
25%
Advanced

Work style

WFH vs not WFH (ACS).

27%
Work from home
73%
Not WFH

Internet access

Household broadband subscription (ACS).

92%
Broadband
8%
No broadband

Scorecard breakdown

Bars are rescaled to 0–100 for readability (percentage metrics use their actual percent).

City
National median (dataset)
Typical rent (2BR)
National median $1,441/mo
$2,982/mo
Broadband subscription
National median 91%
92%
Work-from-home share
National median 12%
27%
Median household income
National median $75,598
$141,446
Bachelor’s+ rate
National median 35%
60%
Commute 45+ min share
National median 11%
23%

Similar cities (by score)

FAQ

What is San Francisco’s remote work score and rank?
San Francisco, CA scores B (57/100) and ranks #50 out of the top 200 US cities in this dataset.
Is this based on San Francisco city proper or the metro area?
City proper (incorporated place). This uses Census ‘Place’ boundaries, not the metro area. Metro-level rankings can differ a lot from the city itself.
What is the population of San Francisco, CA?
Population is about 836,321 (ACS 2023, city proper).
What is the male vs female split in San Francisco, CA?
About 51% male and 49% female (ACS 2023).
What is a typical monthly rent in San Francisco, CA?
Typical rent (2BR) is $2,982/mo (national median: $1,441/mo).
What share of workers work from home in San Francisco, CA?
Work-from-home share is 27% (national median: 12%).
How common is broadband internet in San Francisco, CA?
Broadband subscription is 92% of households (national median: 91%).
What does the education mix look like in San Francisco, CA?
Among adults 25+, the shares are roughly: less than HS 11%, HS/some college 29%, bachelor’s 35%, advanced 25%.
Where does this data come from for San Francisco, CA?
Metrics are from Census ACS 2023 5-year estimates (city proper / incorporated place), with optional NOAA climate normals when available.

Note: Scores are informational and depend on data coverage and methodology. Always validate against your personal constraints (job, neighborhood, commute, safety, schools, healthcare).