Latest available · Census ACS 5-Year (2024)
What Is the Median Home Value in ZCTA5 92014, California?
ZIP code · Census ACS 5-Year estimates
The median home value in ZCTA5 92014, California (ZIP 92014) is $2,000,001, based on Census ACS 5-Year estimates (2024). The median gross rent is $3,501/month, and the median household income is $198,823/year. Source: U.S. Census Bureau, American Community Survey, 2024 5-Year Estimates.
Housing Metrics for ZIP 92014
| Metric | Value |
|---|---|
| Median Home Value | $2,000,001 |
| Median Gross Rent | $3,501 |
| Median Household Income | $198,823 |
| Total Housing Units | 5,628 |
| Renter-Occupied Units | 1,538 |
| Renter-Occupied Share | 27% |
How does ZIP 92014 compare?
Median home value ranked against all ZIP codes in California.
Higher home value than 100% of ZIP codes in California · 1st of 1600
| # | ZIP code | Value |
|---|---|---|
| 1 | ZCTA5 94920 | $2,000,001 |
| 1 | ZCTA5 94924 | $2,000,001 |
| 1 | ZCTA5 94062 | $2,000,001 |
| 1 | ZCTA5 92014(you are here) | $2,000,001 |
| … 1596 more … | ||
| 1598 | ZCTA5 96113 | $73,900 |
| 1599 | ZCTA5 93562 | $66,100 |
| 1600 | ZCTA5 96075 | $53,200 |
More data for ZIP 92014
Frequently asked questions
What is the median home value in ZCTA5 92014, California?
The median home value in ZCTA5 92014, California (ZIP 92014) is $2,000,001, based on Census ACS 5-Year estimates (2024). This is the self-reported estimated value homeowners believe their property would sell for. Source: U.S. Census Bureau, American Community Survey 5-Year Estimates, 2024.
What is the average rent in ZCTA5 92014, California?
The median gross rent in ZCTA5 92014, California (ZIP 92014) is $3,501/month, based on Census ACS 5-Year estimates (2024).
What is the median household income in ZCTA5 92014, California?
The median household income in ZCTA5 92014, California is $198,823/year according to Census ACS 5-Year estimates (2024).
How reliable is Census ACS data for small areas?
The ACS 5-Year estimates combine 60 months of data for more reliable figures in smaller geographies. Each estimate has a margin of error (MOE). For example. In very small areas, MOEs can be large relative to the estimate.
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