Latest available · Census ACS 5-Year (2024)
What Is the Median Home Value in ZCTA5 29482, South Carolina?
ZIP code · Census ACS 5-Year estimates
The median home value in ZCTA5 29482, South Carolina (ZIP 29482) is $2,000,001, based on Census ACS 5-Year estimates (2024). The median gross rent is $2,375/month, and the median household income is $192,813/year. Source: U.S. Census Bureau, American Community Survey, 2024 5-Year Estimates.
Housing Metrics for ZIP 29482
| Metric | Value |
|---|---|
| Median Home Value | $2,000,001 |
| Median Gross Rent | $2,375 |
| Median Household Income | $192,813 |
| Total Housing Units | 798 |
| Renter-Occupied Units | 117 |
| Renter-Occupied Share | 15% |
How does ZIP 29482 compare?
Median home value ranked against all ZIP codes in South Carolina.
Higher home value than 100% of ZIP codes in South Carolina · 1st of 384
| # | ZIP code | Value |
|---|---|---|
| 1 | ZCTA5 29941 | $2,000,001 |
| 1 | ZCTA5 29482(you are here) | $2,000,001 |
| 3 | ZCTA5 29451 | $1,581,300 |
| … 378 more … | ||
| 382 | ZCTA5 29168 | $34,900 |
| 383 | ZCTA5 29364 | $22,900 |
| 384 | ZCTA5 29377 | $9,999 |
More data for ZIP 29482
Frequently asked questions
What is the median home value in ZCTA5 29482, South Carolina?
The median home value in ZCTA5 29482, South Carolina (ZIP 29482) 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 29482, South Carolina?
The median gross rent in ZCTA5 29482, South Carolina (ZIP 29482) is $2,375/month, based on Census ACS 5-Year estimates (2024).
What is the median household income in ZCTA5 29482, South Carolina?
The median household income in ZCTA5 29482, South Carolina is $192,813/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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