Best city for retirement? Riverside, CA
Riverside may not rank at the top for retirement, but it can be a fit if you care about typical home value alongside typical rent (2br). Overall, it’s not a top-ranked option in this set (#163 of 200), so fit matters. A common tradeoff is commute 45+ min share.
Scope note (city proper)
This page scores the incorporated city limits (Census “Place”), not the metro area. Popular retirement destinations can look very different at the metro level.
Why Riverside ranks here
- Typical rent (2BR): $1,800/mo (25% higher than the national median; worse for this metric).
- Typical home value: $542,100 (56% higher than the national median; worse for this metric).
- Median household income: $88,575 (17% higher than the national median; better for this metric).
Watch-outs
- Commute 45+ min share: 24% (113% higher than the national median; worse for this metric).
- Age 65+ share: 12% (14% lower than the national median; worse for this metric).
City snapshot
Basic demographics from ACS 2023 (city proper).
Key metrics
Values shown are from ACS 2023. National medians are computed across the ranked city set.
Score breakdown (by category)
Category scores are 0–100 and summarize groups of metrics used in the final score.
Education (age 25+)
Share of adults by attainment (ACS).
Age mix
Share of residents age 65+ (ACS).
Internet access
Household broadband subscription (ACS).
Scorecard breakdown
Bars are rescaled to 0–100 for readability (percentage metrics use their actual percent).
Similar cities (by score)
FAQ
›What is Riverside’s retirement score and rank?
›Is this based on Riverside city proper or the metro area?
›What is the population of Riverside, CA?
›What is the male vs female split in Riverside, CA?
›How affordable is housing in Riverside, CA?
›What share of residents are 65+ in Riverside, CA?
›How common is broadband internet in Riverside, CA?
›What does the education mix look like in Riverside, CA?
›Where does this data come from for Riverside, CA?
Note: Scores are informational and depend on data coverage and methodology. Always validate against your personal constraints (healthcare access, neighborhoods, taxes, climate preferences, support network).