A total of 41 results found. Show Results on Map.
Rank | Percentage of Renters Paying $2000 or More ▼ | City / Population |
1. | 75.0% | Kiawah Island, SC / 1,446 |
2. | 37.5% | Seabrook Island, SC / 1,674 |
3. | 28.0% | Sullivans Island, SC / 1,966 |
4. | 13.4% | Tega Cay, SC / 4,850 |
5. | 12.5% | Hilton Head Island, SC / 34,362 |
6. | 9.8% | Mount Pleasant, SC / 63,583 |
7. | 9.5% | Andrews, SC / 2,957 |
8. | 8.6% | Blythewood, SC / 1,482 |
9. | 8.3% | Lake Murray Of Richland, SC / 4,483 |
10. | 8.1% | Lexington, SC / 14,970 |
11. | 7.8% | Five Forks, SC / 12,425 |
12. | 7.5% | Yemassee, SC / 1,033 |
13. | 6.3% | Folly Beach, SC / 1,731 |
14. | 4.6% | Hollywood, SC / 4,605 |
15. | 3.9% | Clemson, SC / 12,650 |
16. | 3.5% | Honea Path, SC / 3,657 |
17. | 3.4% | North Myrtle Beach, SC / 15,400 |
18. | 3.3% | Union, SC / 8,060 |
19. | 3.0% | Socastee, SC / 16,294 |
20. | 2.8% | West Columbia, SC / 13,784 |
21. | 2.2% | Charleston, SC / 112,349 |
22. | 2.0% | Burton, SC / 7,268 |
23. | 2.0% | Florence, SC / 32,011 |
24. | 1.9% | Bluffton, SC / 9,623 |
25. | 1.7% | Aiken, SC / 28,884 |
26. | 1.7% | Oak Grove, SC / 9,821 |
27. | 1.2% | Columbia, SC / 126,193 |
28. | 1.1% | Summerville, SC / 42,825 |
29. | 1.1% | Easley, SC / 19,865 |
30. | 1.0% | Garden City, SC / 8,917 |
31. | 0.7% | Central, SC / 4,078 |
32. | 0.6% | Greenville, SC / 59,249 |
32. | 0.6% | Rock Hill, SC / 64,698 |
34. | 0.6% | Saint Andrews, SC / 20,898 |
35. | 0.4% | Goose Creek, SC / 36,049 |
36. | 0.4% | Seven Oaks, SC / 15,559 |
37. | 0.3% | Anderson, SC / 26,634 |
37. | 0.3% | Wade Hampton, SC / 20,320 |
39. | 0.3% | North Charleston, SC / 92,589 |
40. | 0.3% | Myrtle Beach, SC / 29,945 |
40. | 0.3% | Sumter, SC / 38,741 |
Please note that we only rank locations with 'Percentage of Renters Paying $2000 or More' data. The rank above might not be a complete list. Locations without 'Percentage of Renters Paying $2000 or More' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.