Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | Japanese Population Percentage ▼ | City / Population |
| 1. | 3.6% | Starr, SC / 168 |
| 2. | 1.7% | Oakland, SC / 1,199 |
| 3. | 0.7% | Wade Hampton, SC / 20,320 |
| 4. | 0.7% | Oak Grove, SC / 9,821 |
| 5. | 0.5% | Mauldin, SC / 20,765 |
| 6. | 0.5% | Greenwood, SC / 22,481 |
| 7. | 0.4% | Shell Point, SC / 2,534 |
| 8. | 0.4% | Woodfield, SC / 9,363 |
| 9. | 0.4% | Elloree, SC / 759 |
| 10. | 0.4% | Red Hill, SC / 12,412 |
| 11. | 0.3% | Simpsonville, SC / 16,770 |
| 12. | 0.3% | Burton, SC / 7,268 |
| 13. | 0.3% | Parker, SC / 9,350 |
| 14. | 0.3% | Johnsonville, SC / 1,505 |
| 15. | 0.3% | Aiken, SC / 28,884 |
| 16. | 0.2% | Seabrook Island, SC / 1,674 |
| 17. | 0.2% | Sumter, SC / 38,741 |
| 17. | 0.2% | Landrum, SC / 2,595 |
| 17. | 0.2% | Laurel Bay, SC / 5,268 |
| 20. | 0.2% | Five Forks, SC / 12,425 |
| 21. | 0.2% | Charleston, SC / 112,349 |
| 21. | 0.2% | Florence, SC / 32,011 |
| 23. | 0.2% | Easley, SC / 19,865 |
| 24. | 0.2% | Myrtle Beach, SC / 29,945 |
| 25. | 0.2% | Abbeville, SC / 5,549 |
| 25. | 0.2% | Hartsville, SC / 7,373 |
| 25. | 0.2% | Red Bank, SC / 9,516 |
| 28. | 0.1% | Boiling Springs, SC / 7,144 |
| 29. | 0.1% | Goose Creek, SC / 36,049 |
| 30. | 0.1% | Bluffton, SC / 9,623 |
| 30. | 0.1% | Saint Andrews, SC / 20,898 |
| 32. | 0.1% | North Charleston, SC / 92,589 |
| 33. | 0.1% | Columbia, SC / 126,193 |
| 34. | 0.1% | Greenville, SC / 59,249 |
| 34. | 0.1% | Clemson, SC / 12,650 |
| 36. | 0.0% | Mount Pleasant, SC / 63,583 |
| 36. | 0.0% | Summerville, SC / 42,825 |
| 38. | 0.0% | Rock Hill, SC / 64,698 |
| 38. | 0.0% | Hilton Head Island, SC / 34,362 |
| 40. | 0.0% | Spartanburg, SC / 39,385 |
Please note that we only rank locations with 'Japanese Population Percentage' data. The rank above might not be a complete list. Locations without 'Japanese Population Percentage' 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.