Skip to main content
Population Review

Census ACS · South Carolina

ZIP Code 29732

ZIP code 29732 is located in South Carolina with a population of 57,551. The median household income is $79,936 and the median home value is $301,300.

57,551

Population

$79,936

Median Income

$301,300

Median Home Value

40.6

Median Age

Race & Ethnicity

White68.5%
Black21.8%
Asian0.0%
Hispanic (any race)1.5%

Male: 48.6% · Female: 51.4%

Economy & Income

$79,936

Median Household Income

$42,248

Per Capita Income

4.9%

Poverty Rate

Housing

$301,300

Median Home Value

$1,293

Median Rent

73.0%

Homeownership

Education

95.0%

High School+

39.9%

Bachelor's Degree+

Nearby ZIP Codes

Largest cities in South Carolina

Part of South Carolina

Metro areas in South Carolina

Frequently Asked Questions

ZIP code 29732 in South Carolina has a population of 57,551 according to latest Census ACS data.

The median household income in ZIP 29732 is $79,936. The per capita income is $42,248. The poverty rate is 4.9%.

ZIP code 29732 is located in South Carolina.

Data for ZIP Code Tabulation Area (ZCTA) 29732 from the American Community Survey 5-Year estimates. ZCTAs approximately correspond to USPS ZIP code delivery areas but are built from Census blocks and may not match exactly.

For this entity, the underlying data on this page comes from the U.S. Census Bureau ACS and decennial files. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

Every number on this page links back to the U.S. Census Bureau ACS and decennial files; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.

Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. states, metros, cities, and ZIPs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.

Source: U.S. Census Bureau ACS, 2026.