Data / Rankings / Housing vacancy rate, all vacant units (US) / Cities in South Carolina

Cities in South Carolina by housing vacancy rate, all vacant units (US)

North Myrtle Beach, SC had the highest housing vacancy rate, all vacant units (US) of 43 cities in 2022, at 66.4%. Tega Cay, SC had the lowest, at 1.5%. The median was 9.5% and the figure for South Carolina was 14.4%. Source: the U.S. Census Bureau.

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Highest66.4North Myrtle Beach, SC
Lowest1.5Tega Cay, SC
Median9.543 cities
South Carolina14.4History

All cities, 2022

North Myrtle Beach, SC: 66.4 %North Myrtle Beach, SC66.4Hilton Head Island, SC: 43.4 %Hilton Head Island, SC43.4Myrtle Beach, SC: 33 %Myrtle Beach, SC33Orangeburg, SC: 20.1 %Orangeburg, SC20.1Beaufort, SC: 17.1 %Beaufort, SC17.1Gaffney, SC: 16.5 %Gaffney, SC16.5Florence, SC: 14.8 %Florence, SC14.8Columbia, SC: 14.8 %Columbia, SC14.8Sumter, SC: 13.3 %Sumter, SC13.3Conway, SC: 13 %Conway, SC13Charleston, SC: 12.8 %Charleston, SC12.8Newberry, SC: 12.4 %Newberry, SC12.4North Augusta, SC: 12.1 %North Augusta, SC12.1Anderson, SC: 11.9 %Anderson, SC11.9Aiken, SC: 11.9 %Aiken, SC11.9North Charleston, SC: 10.9 %North Charleston, SC10.9Spartanburg, SC: 10.2 %Spartanburg, SC10.2Clemson, SC: 9.8 %Clemson, SC9.8Forest Acres, SC: 9.7 %Forest Acres, SC9.7Greenwood, SC: 9.6 %Greenwood, SC9.6Greenville, SC: 9.6 %Greenville, SC9.6Fountain Inn, SC: 9.5 %Fountain Inn, SC9.5Mount Pleasant, SC: 9 %Mount Pleasant, SC9York, SC: 8.7 %York, SC8.7Hanahan, SC: 8.2 %Hanahan, SC8.2Summerville, SC: 8.2 %Summerville, SC8.2Bluffton, SC: 8.1 %Bluffton, SC8.1Irmo, SC: 7.9 %Irmo, SC7.9James Island, SC: 7.7 %James Island, SC7.7Greer, SC: 7.7 %Greer, SC7.7Port Royal, SC: 7.6 %Port Royal, SC7.6Easley, SC: 7.5 %Easley, SC7.5Cayce, SC: 6.7 %Cayce, SC6.7Rock Hill, SC: 6.3 %Rock Hill, SC6.3West Columbia, SC: 5.9 %West Columbia, SC5.9Simpsonville, SC: 5.7 %Simpsonville, SC5.7Lexington, SC: 5.6 %Lexington, SC5.6Goose Creek, SC: 5.3 %Goose Creek, SC5.3Mauldin, SC: 5.3 %Mauldin, SC5.3Moncks Corner, SC: 5.1 %Moncks Corner, SC5.1Fort Mill, SC: 5.1 %Fort Mill, SC5.1Hardeeville, SC: 1.8 %Hardeeville, SC1.8Tega Cay, SC: 1.5 %Tega Cay, SC1.5North Myrtle Beach, SC: 66.4 %North Myrtle Beach, SC66.4Hilton Head Island, SC: 43.4 %Hilton Head Island, SC43.4Myrtle Beach, SC: 33 %Myrtle Beach, SC33Orangeburg, SC: 20.1 %Orangeburg, SC20.1Beaufort, SC: 17.1 %Beaufort, SC17.1Gaffney, SC: 16.5 %Gaffney, SC16.5Florence, SC: 14.8 %Florence, SC14.8Columbia, SC: 14.8 %Columbia, SC14.8Sumter, SC: 13.3 %Sumter, SC13.3Conway, SC: 13 %Conway, SC13Charleston, SC: 12.8 %Charleston, SC12.8Newberry, SC: 12.4 %Newberry, SC12.4North Augusta, SC: 12.1 %North Augusta, SC12.1Anderson, SC: 11.9 %Anderson, SC11.9Aiken, SC: 11.9 %Aiken, SC11.9North Charleston, SC: 10.9 %North Charleston, SC10.9Spartanburg, SC: 10.2 %Spartanburg, SC10.2Clemson, SC: 9.8 %Clemson, SC9.8Forest Acres, SC: 9.7 %Forest Acres, SC9.7Greenwood, SC: 9.6 %Greenwood, SC9.6Greenville, SC: 9.6 %Greenville, SC9.6Fountain Inn, SC: 9.5 %Fountain Inn, SC9.5Mount Pleasant, SC: 9 %Mount Pleasant, SC9York, SC: 8.7 %York, SC8.7Hanahan, SC: 8.2 %Hanahan, SC8.2Summerville, SC: 8.2 %Summerville, SC8.2Bluffton, SC: 8.1 %Bluffton, SC8.1Irmo, SC: 7.9 %Irmo, SC7.9James Island, SC: 7.7 %James Island, SC7.7Greer, SC: 7.7 %Greer, SC7.7Port Royal, SC: 7.6 %Port Royal, SC7.6Easley, SC: 7.5 %Easley, SC7.5Cayce, SC: 6.7 %Cayce, SC6.7Rock Hill, SC: 6.3 %Rock Hill, SC6.3West Columbia, SC: 5.9 %West Columbia, SC5.9Simpsonville, SC: 5.7 %Simpsonville, SC5.7Lexington, SC: 5.6 %Lexington, SC5.6Goose Creek, SC: 5.3 %Goose Creek, SC5.3Mauldin, SC: 5.3 %Mauldin, SC5.3Moncks Corner, SC: 5.1 %Moncks Corner, SC5.1Fort Mill, SC: 5.1 %Fort Mill, SC5.1Hardeeville, SC: 1.8 %Hardeeville, SC1.8Tega Cay, SC: 1.5 %Tega Cay, SC1.5
%. Source: Invokely calculation with data from U.S. Census Bureau. Retrieved 2026-10-12.

Full ranking

RankCities2022 (%)Change on 2021
1North Myrtle Beach, SC66.4-1 pts
2Hilton Head Island, SC43.4-1.1 pts
3Myrtle Beach, SC33-3.9 pts
4Orangeburg, SC20.1+0.1 pts
5Beaufort, SC17.1+2.3 pts
6Gaffney, SC16.5-2.4 pts
7Florence, SC14.8+1.1 pts
8Columbia, SC14.8+0.3 pts
9Sumter, SC13.3+1.2 pts
10Conway, SC13-1.5 pts
11Charleston, SC12.8-0.3 pts
12Newberry, SC12.4+1.4 pts
13North Augusta, SC12.1+0.2 pts
14Anderson, SC11.9+0.9 pts
15Aiken, SC11.9+0.8 pts
16North Charleston, SC10.9-0.5 pts
17Spartanburg, SC10.2-1.8 pts
18Clemson, SC9.8-2.1 pts
19Forest Acres, SC9.7+0.2 pts
20Greenwood, SC9.6-1.8 pts
21Greenville, SC9.6-0 pts
22Fountain Inn, SC9.5-2.2 pts
23Mount Pleasant, SC9+0.6 pts
24York, SC8.7-0 pts
25Hanahan, SC8.2+0.8 pts
26Summerville, SC8.2-1.6 pts
27Bluffton, SC8.1-0.7 pts
28Irmo, SC7.9+1.6 pts
29James Island, SC7.7-0.6 pts
30Greer, SC7.7-0.7 pts
31Port Royal, SC7.6-0.1 pts
32Easley, SC7.5-1 pts
33Cayce, SC6.7-0.3 pts
34Rock Hill, SC6.3-0.2 pts
35West Columbia, SC5.9-1.9 pts
36Simpsonville, SC5.7+1 pts
37Lexington, SC5.6-1.3 pts
38Goose Creek, SC5.3-0.4 pts
39Mauldin, SC5.3+0.5 pts
40Moncks Corner, SC5.1+1 pts
41Fort Mill, SC5.1+0.3 pts
42Hardeeville, SC1.8+1.3 pts
43Tega Cay, SC1.5+0.6 pts

Other periods

About this ranking

Vacant housing units as a percentage of all housing units.

More on how it is measured
  • Vacant units include those for rent or for sale, rented or sold but not yet occupied, for seasonal, recreational or occasional use, for migrant workers, and other vacant units.
  • United States: American Community Survey five-year estimate, where the period shown is the last year of the five-year span.

This gross rate counts seasonal and other off-market vacant units, so it is much higher than the rental and homeowner vacancy rates of the Housing Vacancy Survey (rental_vacancy_rate and homeowner_vacancy_rate) and cannot be compared with them. Counties with many holiday homes have high rates.

Every value in the ranking comes from the same publisher and the same period, so the cities are compared on one definition. Equal values share a rank.

How to cite

U.S. Census Bureau. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more). https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

U.S. Census Bureau. (2026). American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more) (Cities in South Carolina by housing vacancy rate, all vacant units (US), 2022) [Data set]. Retrieved October 12, 2026, from https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat

MLA 9

American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more), Cities in South Carolina by housing vacancy rate, all vacant units (US), 2022. U.S. Census Bureau, 29 Jan. 2026, https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat. Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-carolina-cities?period=2022. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Census Bureau. 2026. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more). Cities in South Carolina by housing vacancy rate, all vacant units (US), 2022. Dataset. Accessed October 12, 2026. https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat. Also distributed by Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-carolina-cities?period=2022.

Harvard

U.S. Census Bureau (2026) American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more), Cities in South Carolina by housing vacancy rate, all vacant units (US), 2022 [Dataset]. Available at: https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat, via Invokely: https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-carolina-cities?period=2022 (Accessed: 12 October 2026).

BibTeX
@misc{census_cities_in_south_carolina_2022,
  author = {{U.S. Census Bureau}},
  title = {{American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more): Cities in South Carolina by housing vacancy rate, all vacant units (US), 2022}},
  year = {2026},
  howpublished = {Data set},
  url = {https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-carolina-cities?period=2022. Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more). https://www2.census.gov/programs-surveys/acs/summary\_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - U.S. Census Bureau
TI  - American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more): Cities in South Carolina by housing vacancy rate, all vacant units (US), 2022
PY  - 2026
DA  - 2026/01/29
PB  - U.S. Census Bureau
DB  - Invokely
UR  - https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat
L2  - https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-carolina-cities?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/housing-vacancy-rate-all-vacant-units/south-carolina-cities?period=2022.
N1  - Publisher attribution: U.S. Census Bureau. American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more). https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData/acsdt5y2022-b25002.dat. Retrieved 2026-10-12.
ER  -
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Questions

Which city has the highest housing vacancy rate, all vacant units (US)?

North Myrtle Beach, SC, with 66.4% in 2022, according to the U.S. Census Bureau.

Which city has the lowest housing vacancy rate, all vacant units (US)?

Tega Cay, SC, with 1.5% in 2022.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, American Community Survey 5-year estimates, table B25002: vacant housing units as a percentage of all housing units, calculated with stored inputs, US cities (incorporated places of 10,000 or more). Retrieved 2026-10-12.

Housing vacancy rate, all vacant units (US): other rankings

Cities in South Carolina: more rankings