A total of 102 results found. Show Results on Map.
Rank | Other Vacant Housing Units Percentage ▼ | County / Population |
1. | 15.0% | Pulaski, IL / 6,262 |
2. | 11.7% | Alexander, IL / 8,449 |
3. | 9.5% | Brown, IL / 6,897 |
4. | 9.4% | Hardin, IL / 4,402 |
5. | 9.0% | Clark, IL / 16,545 |
6. | 8.4% | Cass, IL / 13,648 |
6. | 8.4% | Massac, IL / 15,425 |
8. | 8.2% | Gallatin, IL / 5,773 |
9. | 8.1% | Calhoun, IL / 5,118 |
9. | 8.1% | Perry, IL / 22,488 |
11. | 8.0% | Hancock, IL / 19,227 |
12. | 7.8% | Johnson, IL / 12,710 |
13. | 7.8% | Winnebago, IL / 293,972 |
14. | 7.7% | Edwards, IL / 6,707 |
15. | 7.6% | Crawford, IL / 19,864 |
16. | 7.4% | Henderson, IL / 7,462 |
17. | 7.3% | Hamilton, IL / 8,453 |
18. | 7.2% | Scott, IL / 5,374 |
19. | 7.0% | Pike, IL / 16,580 |
20. | 7.0% | Fayette, IL / 22,007 |
20. | 7.0% | Morgan, IL / 35,755 |
22. | 6.9% | Union, IL / 17,959 |
23. | 6.9% | Marion, IL / 39,722 |
24. | 6.8% | Randolph, IL / 33,567 |
25. | 6.7% | Schuyler, IL / 7,527 |
26. | 6.7% | Clay, IL / 13,927 |
27. | 6.6% | Mcdonough, IL / 32,730 |
28. | 6.5% | Saint Clair, IL / 266,727 |
29. | 6.4% | Macon, IL / 110,719 |
30. | 6.4% | Williamson, IL / 65,579 |
31. | 6.4% | Christian, IL / 34,936 |
32. | 6.4% | Jackson, IL / 59,864 |
33. | 6.3% | Cumberland, IL / 11,073 |
34. | 6.3% | Wabash, IL / 12,141 |
35. | 6.3% | Jersey, IL / 22,932 |
36. | 6.3% | Dewitt, IL / 16,672 |
37. | 6.2% | Franklin, IL / 39,528 |
38. | 6.2% | Shelby, IL / 22,362 |
39. | 6.1% | Saline, IL / 25,171 |
40. | 6.1% | Piatt, IL / 16,708 |
40. | 6.1% | Mason, IL / 14,921 |
42. | 5.9% | Carroll, IL / 15,615 |
43. | 5.6% | Ford, IL / 14,113 |
44. | 5.6% | Wayne, IL / 16,846 |
45. | 5.5% | Richland, IL / 16,166 |
46. | 5.5% | White, IL / 14,800 |
47. | 5.3% | Iroquois, IL / 30,068 |
48. | 5.2% | Jefferson, IL / 39,202 |
49. | 5.2% | Lawrence, IL / 16,849 |
50. | 5.1% | Fulton, IL / 37,205 |
51. | 5.0% | Greene, IL / 13,983 |
52. | 5.0% | Madison, IL / 268,005 |
53. | 4.8% | Pope, IL / 4,426 |
53. | 4.8% | Jasper, IL / 9,752 |
55. | 4.8% | Menard, IL / 12,702 |
56. | 4.8% | Stephenson, IL / 47,791 |
56. | 4.8% | Logan, IL / 30,440 |
58. | 4.7% | Boone, IL / 53,567 |
59. | 4.7% | Montgomery, IL / 30,230 |
60. | 4.6% | Cook, IL / 5,172,848 |
61. | 4.6% | Adams, IL / 67,030 |
62. | 4.6% | Washington, IL / 14,841 |
63. | 4.4% | Bond, IL / 17,904 |
64. | 4.4% | Livingston, IL / 39,010 |
65. | 4.3% | Macoupin, IL / 47,980 |
66. | 4.3% | Knox, IL / 52,932 |
67. | 4.2% | Warren, IL / 17,745 |
67. | 4.2% | Rock Island, IL / 147,524 |
69. | 4.0% | Peoria, IL / 185,108 |
70. | 4.0% | Jo Daviess, IL / 22,728 |
71. | 3.9% | Whiteside, IL / 58,750 |
72. | 3.8% | Kankakee, IL / 112,100 |
73. | 3.6% | La Salle, IL / 113,789 |
73. | 3.6% | Sangamon, IL / 195,288 |
75. | 3.6% | Stark, IL / 6,086 |
75. | 3.6% | Mercer, IL / 16,551 |
77. | 3.4% | Henry, IL / 50,477 |
78. | 3.3% | Bureau, IL / 35,083 |
79. | 3.2% | Marshall, IL / 12,763 |
80. | 3.2% | Putnam, IL / 5,982 |
81. | 3.0% | Lee, IL / 36,100 |
82. | 2.9% | Vermilion, IL / 82,033 |
83. | 2.8% | Effingham, IL / 34,232 |
84. | 2.7% | Grundy, IL / 48,744 |
85. | 2.6% | Ogle, IL / 53,578 |
86. | 2.3% | Clinton, IL / 37,395 |
87. | 2.0% | Mclean, IL / 166,706 |
88. | 2.0% | Moultrie, IL / 14,723 |
89. | 1.9% | Will, IL / 667,977 |
90. | 1.9% | Champaign, IL / 197,867 |
91. | 1.8% | Woodford, IL / 38,226 |
92. | 1.8% | Lake, IL / 697,179 |
93. | 1.8% | Mchenry, IL / 306,050 |
94. | 1.6% | Tazewell, IL / 133,863 |
95. | 1.3% | Kane, IL / 502,628 |
96. | 1.2% | Edgar, IL / 18,776 |
97. | 1.0% | Dekalb, IL / 104,026 |
98. | 0.8% | Dupage, IL / 911,481 |
99. | 0.8% | Kendall, IL / 105,602 |
100. | 0.6% | Monroe, IL / 32,431 |
101. | 0.5% | Douglas, IL / 20,012 |
102. | 0.5% | Coles, IL / 53,568 |
Please note that we only rank locations with 'Other Vacant Housing Units Percentage' data. The rank above might not be a complete list. Locations without 'Other Vacant Housing Units 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.