Census ACS · #150 MSA
Myrtle Beach Metro Area
The Myrtle Beach-Conway-North Myrtle Beach, Sc Metropolitan Statistical Area has 368,937 residents. The median household income is $64,623 and the median home value is $260,500.
368,937
Population
326
People / sq mi
$64,623
Median Income
$260,500
Median Home Value
The Myrtle Beach CBSA covers 1,133 sq mi of land at 325.6 people per square mile.
Race & Ethnicity
| White | 77.8% |
| Black or African American | 11.9% |
| Asian | 0.0% |
| Hispanic or Latino (any race) | 1.1% |
Economy & Income
$64,623
Median Household Income
$36,572
Per Capita Income
8.6%
Poverty Rate
2.8%
Unemployment
Cost of Living
The Myrtle Beach metro's price level is 93.6 on the BEA Regional Price Parity index (US average = 100), meaning prices are 6.4% lower the US average. The local median income of $64,623 has the buying power of $69,011 in average-priced US metros.
93.6
Price Level (US = 100)
$69,011
COL-Adjusted Median Income
$64,623
Nominal Median Income
Housing
$260,500
Median Home Value
$1,181
Median Rent
75.8%
Homeownership
Education
91.4%
High School+
26.6%
Bachelor's+
Commute
0.5%
Drive Alone
9.9%
Work From Home
23.0 min
Avg Commute
58.7%
Foreign Born
Myrtle Beach spans this state
Nearby metros
Largest cities in South Carolina
Largest counties in South Carolina
Part of South Carolina
Other metros
Metro areas in South Carolina
Metro rankings
Frequently Asked Questions
The Myrtle Beach-Conway-North Myrtle Beach, Sc Metropolitan Statistical Area has a population of 368,937 according to Census ACS 5-Year estimates, making it the #150 largest CBSA in the US.
The median household income in the Myrtle Beach metro area is $64,623, with a per capita income of $36,572.
The Myrtle Beach-Conway-North Myrtle Beach, Sc CBSA spans the state of South Carolina.
More from South Carolina
Data for the Myrtle Beach-Conway-North Myrtle Beach, Sc CBSA (34820) from the American Community Survey 5-Year estimates. Core-Based Statistical Areas combine cities, suburbs, and surrounding counties tied together by commuting patterns.
this entity is one of the data points covered by this site’s U.S. population demographics dataset. The detail above comes directly from the U.S. Census Bureau ACS and decennial files; the context that follows situates the headline numbers against the broader distribution across U.S. states, metros, cities, and ZIPs.
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.
For readers using this page as a decision input, the related-entity pages elsewhere on the site provide the comparison set. The most useful comparison for this entity is typically a peer within U.S. states, metros, cities, and ZIPs with similar size, similar exposure, or similar geography — not the national-level summary alone.
Source: U.S. Census Bureau ACS, 2026.