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  3. Murrells Inlet
SC843854

Murrells Inlet

CBSA 34680 * Micropolitan * SC * 54.8K residents

Compare

54.8K

Population

$63.9K

Median income

per household

$252K

Home value

17.1%

Poverty rate

What stands out

  • Median household income: $63.9K.
  • Median home value: $252K.
  • Poverty rate: 17.1%.

Categories vs U.S.

Economy

0 of 6 metrics better than U.S. benchmarks

Median household income

$63.9K

U.S.

$81K

Median home value

$252K

U.S.

$333K

Poverty rate

17.1%

U.S.

12.4%

Housing stress

Rent-burdened renters (≥30%)

56.1%

U.S.

51.1%

Severely rent-burdened (≥50%)

23.7%

U.S.

25.9%

Affordability Ratios

Rent-to-Income

21.0%

Below 30% threshold

Home-Value-to-Income

3.9×

Within typical 3-5x range

Income distribution

Share of households by income bracket (ACS).

< $50k
38.0%
$50–100k
33.0%
$100–200k
21.0%
$200k+
8.0%

Health

4 of 6 available metrics better than U.S.

CDC PLACES 2025 estimates (derived from county-level data; some measures may be unavailable).

Obesity

31.8%

U.S.

33.2%

Diabetes

16.9%

U.S.

12.1%

Current smoking

11.9%

U.S.

12.8%

Map

CBSA 34680

Murrells Inlet

Population

54.8K

Area

813.7 sq mi

Density

67.4/sq mi

Nearby CBSAs

Charleston-North CharlestonMyrtle Beach-Conway-North Myrtle Beach

Counties

Counties in this CBSA (1)

Georgetown County, SC
Data Sources & Notes

Data freshness

ACS 5-year
2020–2024
CDC PLACES
2025
BLS Labor
2025-12
Page updated
2026-02-23

Release schedule and upstream dates: Sources.

Data sources

U.S. Census (ACS 5-year)U.S. Census TIGER/LineCDC PLACESBureau of Labor Statistics (BLS)

Derived statistics

  • ACS-based CBSA estimates are aggregated from ZCTA (ZIP) values for ZIPs in the CBSA; totals may differ from official CBSA ACS tables.
  • Health metrics (when shown) are derived from county-level CDC PLACES.
  • Median age, household size, and mean commute time (when shown) are estimated as population-weighted averages of ZIP values.
  • If a CBSA unemployment series is unavailable, unemployment is derived as a population-weighted average of member counties.
  • Population density is computed as population ÷ land area.

Data accuracy & methodology

CBSA pages use 2020–2024 ACS 5-year ZCTA (ZIP) estimates aggregated across ZIPs in the CBSA, plus other public datasets when available (see Sources). Aggregated ZIP-based totals can differ from official CBSA ACS tables. Health estimates are derived from county-level CDC PLACES data when available.