Myrtle Beach-Conway-North Myrtle Beach ranks #3 of 8 South Carolina metros on renters over the 30% rent threshold

the Grand Strand · Data as of · ALEX Intelligence

47.0% Renters Over the 30% Rent Threshold — Myrtle Beach-Conway-North Myrtle Beach
#MetroRenters Over the 30% Rent Threshold
1Columbia50.4%
2Charleston-North Charleston49.3%
3Myrtle Beach-Conway-North Myrtle Beach47.0%
4Greenville-Anderson-Greer46.8%
5Hilton Head Island-Bluffton-Port Royal45.9%
6Spartanburg44.6%
7Florence44.4%
8Sumter43.8%

Methodology

Source:
U.S. Census Bureau, American Community Survey 5-Year Estimates, 2024
Measure
Renters Over the 30% Rent Threshold, ranked highest first across 8 South Carolina metros (8 ranked in total).
How the headline figure is computed
Within South Carolina: #3 of 8 South Carolina metros. Every rank on this page is computed from the same table named under Source, filtered to the peer set named; units the source reports no value for are left out of every set. No rank is stated against any wider set.
Universe
Ranked only within the peer sets named on this page: South Carolina (8 ranked). Metros with fewer than 100,000 residents are excluded from every set. Units the source reports no value for are left out.
Vintage
2024
Reproduce this query
https://api.census.gov/data/2024/acs/acs5?get=NAME%2CB01003_001E%2CB01002_001E%2CB19013_001E%2CB25077_001E%2CB25064_001E%2CB25003_001E%2CB25003_002E%2CB25002_001E%2CB25002_003E%2CB25035_001E%2CB25010_001E%2CB25070_001E%2CB25070_007E%2CB25070_008E%2CB25070_009E%2CB25070_010E%2CB25075_001E%2CB25075_024E%2CB25075_025E%2CB25075_026E%2CB25081_001E%2CB25081_009E%2CB01001_020E%2CB01001_021E%2CB01001_022E%2CB01001_023E%2CB01001_024E%2CB01001_025E%2CB01001_044E%2CB01001_045E%2CB01001_046E%2CB01001_047E%2CB01001_048E%2CB01001_049E&for=metropolitan%20statistical%20area%2Fmicropolitan%20statistical%20area%3A%2A&key=YOUR_CENSUS_KEY

Every figure on this page is computed directly from the dataset named above by ALEX Intelligence. No figure on this page was written by hand or by a language model. The query is stated so that anyone can re-run it and obtain the same table.

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