Local Data Search
A total of 38 results found. Show Results on Map.
| Rank | Median Household Income ▲ | City / Population |
| 1. | $11,954 | Russellville, SC / 387 |
| 2. | $17,019 | Greeleyville, SC / 563 |
| 3. | $17,554 | Andrews, SC / 2,958 |
| 4. | $19,167 | Jamestown, SC / 53 |
| 5. | $21,281 | Scranton, SC / 687 |
| 6. | $23,309 | Kingstree, SC / 3,426 |
| 7. | $23,750 | Atlantic Beach, SC / 279 |
| 8. | $25,417 | Bucksport, SC / 849 |
| 9. | $25,833 | Bonneau, SC / 357 |
| 10. | $26,567 | Lake City, SC / 6,690 |
| 11. | $29,286 | Hemingway, SC / 809 |
| 12. | $29,711 | Georgetown, SC / 9,302 |
| 13. | $30,625 | Stuckey, SC / 475 |
| 14. | $30,993 | Saint Stephen, SC / 2,101 |
| 15. | $35,879 | Garden City, SC / 8,864 |
| 16. | $35,999 | Conway, SC / 16,424 |
| 17. | $36,591 | Awendaw, SC / 1,247 |
| 18. | $37,669 | Myrtle Beach, SC / 26,696 |
| 19. | $38,403 | Lane, SC / 1,056 |
| 20. | $38,500 | Pamplico, SC / 1,117 |
| 21. | $40,900 | Johnsonville, SC / 1,422 |
| 22. | $42,452 | Socastee, SC / 17,108 |
| 23. | $42,500 | Aynor, SC / 795 |
| 24. | $42,708 | Coward, SC / 606 |
| 25. | $44,225 | Moncks Corner, SC / 7,508 |
| 26. | $45,490 | Surfside Beach, SC / 3,963 |
| 27. | $48,708 | Red Hill, SC / 13,846 |
| 28. | $49,554 | Bonneau Beach, SC / 1,811 |
| 29. | $50,794 | North Myrtle Beach, SC / 13,397 |
| 30. | $51,662 | Murrells Inlet, SC / 7,331 |
| 31. | $52,837 | Forestbrook, SC / 4,231 |
| 32. | $56,563 | Mcclellanville, SC / 338 |
| 33. | $60,264 | Goose Creek, SC / 34,765 |
| 34. | $66,000 | Pinopolis, SC / 1,314 |
| 35. | $75,842 | Mount Pleasant, SC / 64,208 |
| 36. | $86,477 | Isle Of Palms, SC / 4,202 |
| 37. | $96,750 | Pawleys Island, SC / 100 |
| 38. | $108,125 | Briarcliffe Acres, SC / 403 |
Please note that we only rank locations with 'Median Household Income' data. The rank above might not be a complete list. Locations without 'Median Household Income' 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.