House Median Value Rank of School District within 50 miles of Hardin County School District
Based on ACS 2006-2010 data*
A total of 26 results found. Show Results on Map.
Rank | House Median Value ▼ | School District / Population |
1. | $124,800 | Muscle Shoals City School District / 12,910 |
2. | $114,200 | Henderson County School District in Lexington / 7,641 |
2. | $114,200 | Lexington City Elementary School District / 7,641 |
4. | $112,100 | Jackson-Madison Consolidated School District / 97,378 |
5. | $109,200 | Lauderdale County School District / 52,941 |
6. | $104,200 | Florence City School District / 38,821 |
7. | $102,500 | Chester County School District / 16,793 |
8. | $95,100 | Corinth School District / 14,584 |
9. | $91,600 | Lawrence County School District / 41,319 |
10. | $91,100 | Colbert County School District / 24,080 |
11. | $90,400 | Lewis County School District / 12,003 |
12. | $88,700 | Hardeman County School District / 27,655 |
13. | $86,600 | Hardin County School District / 25,995 |
14. | $84,200 | McNairy County School District / 25,760 |
15. | $83,100 | Tuscumbia City School District / 8,315 |
16. | $82,700 | Henderson County School District / 19,877 |
17. | $80,800 | South Carroll Special School District / 2,708 |
18. | $80,000 | Alcorn School District / 22,124 |
19. | $78,300 | Booneville School District / 6,829 |
20. | $77,800 | Sheffield City School District / 9,141 |
21. | $74,500 | Wayne County School District / 17,016 |
22. | $73,200 | Tishomingo County Schools / 19,535 |
23. | $71,600 | Perry County School District / 7,778 |
24. | $67,300 | Prentiss County School District / 15,230 |
25. | $66,500 | Decatur County School District / 11,716 |
26. | $65,600 | North Tippah School District / 7,035 |
Please note that we only rank locations with 'House Median Value' data. The rank above might not be a complete list. Locations without 'House Median Value' 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.