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Georgia Percentage of House with a Mortgage where Monthly Holding Costs $3000 or More County Rank

Based on ACS 2006-2010 data*

A total of 123 results found. Show Results on Map.

RankPercentage of House with a Mortgage where Monthly Holding Costs $3000 or More ▼County / Population
1.20.7%Fulton, GA / 886,982
2.15.9%Fayette, GA / 105,344
3.12.9%Baker, GA / 3,657
4.12.9%Forsyth, GA / 163,885
5.10.8%Oconee, GA / 31,508
6.9.9%Greene, GA / 15,844
7.9.9%Dawson, GA / 21,758
8.9.6%Cobb, GA / 677,402
9.8.8%Union, GA / 21,083
10.8.7%Dekalb, GA / 685,371
11.8.0%Cherokee, GA / 206,283
12.7.9%Glynn, GA / 77,632
13.7.0%Hall, GA / 175,001
14.6.6%Putnam, GA / 20,925
15.6.6%Chatham, GA / 256,428
16.6.2%Gwinnett, GA / 778,022
17.5.9%Morgan, GA / 17,741
18.5.8%Columbia, GA / 117,858
19.5.5%Rabun, GA / 16,266
20.5.4%Harris, GA / 30,807
21.5.2%Pickens, GA / 29,155
22.5.1%Bibb, GA / 154,810
23.5.1%Douglas, GA / 127,800
24.5.0%Henry, GA / 193,717
25.4.9%Rockdale, GA / 83,135
26.4.5%Thomas, GA / 44,451
27.4.3%Franklin, GA / 22,121
28.4.3%Pulaski, GA / 11,632
29.4.1%Bryan, GA / 29,039
30.3.8%Habersham, GA / 42,212
31.3.7%Jenkins, GA / 8,400
32.3.6%Carroll, GA / 109,227
33.3.6%Dade, GA / 16,595
34.3.6%Jackson, GA / 58,347
35.3.5%Coweta, GA / 121,528
36.3.5%Muscogee, GA / 187,629
37.3.5%Sumter, GA / 32,865
38.3.4%Jones, GA / 28,292
39.3.4%Gilmer, GA / 28,076
40.3.2%Effingham, GA / 50,513
41.3.1%Clarke, GA / 115,070
42.3.1%Towns, GA / 10,430
43.3.1%Camden, GA / 49,293
44.3.1%Walton, GA / 81,491
45.3.0%Lumpkin, GA / 28,875
46.3.0%Dougherty, GA / 94,514
47.3.0%Bartow, GA / 97,423
48.2.9%Floyd, GA / 95,810
49.2.8%Paulding, GA / 134,875
50.2.7%Echols, GA / 3,973
51.2.7%Troup, GA / 65,652
52.2.7%Spalding, GA / 63,304
53.2.7%Tift, GA / 39,823
54.2.6%Baldwin, GA / 46,905
55.2.4%White, GA / 26,498
56.2.4%Whitfield, GA / 99,910
57.2.2%Lowndes, GA / 104,916
58.2.2%Hart, GA / 25,024
58.2.2%Lamar, GA / 17,837
60.2.2%Fannin, GA / 23,337
61.2.1%Lincoln, GA / 8,111
62.2.1%Screven, GA / 14,799
63.2.1%Monroe, GA / 25,864
64.2.1%Richmond, GA / 198,170
65.2.1%Turner, GA / 9,025
66.2.0%Laurens, GA / 48,034
66.2.0%Emanuel, GA / 22,348
68.2.0%Candler, GA / 10,715
69.2.0%Houston, GA / 134,880
70.1.9%Grady, GA / 24,738
71.1.9%Newton, GA / 96,833
72.1.9%Tattnall, GA / 24,263
73.1.8%Meriwether, GA / 22,425
74.1.8%Mcintosh, GA / 13,817
75.1.7%Banks, GA / 17,840
76.1.7%Lee, GA / 27,998
77.1.7%Barrow, GA / 66,359
78.1.7%Clinch, GA / 6,841
79.1.6%Murray, GA / 39,925
79.1.6%Bacon, GA / 10,969
81.1.5%Walker, GA / 67,845
82.1.5%Bulloch, GA / 67,298
83.1.5%Haralson, GA / 28,574
84.1.5%Upson, GA / 27,308
85.1.4%Jasper, GA / 13,695
86.1.4%Crisp, GA / 23,182
87.1.3%Stephens, GA / 25,876
88.1.3%Taylor, GA / 8,875
88.1.3%Pike, GA / 17,411
90.1.3%Coffee, GA / 41,647
91.1.2%Madison, GA / 27,798
92.1.2%Catoosa, GA / 62,951
93.1.2%Gordon, GA / 54,059
94.1.1%Lanier, GA / 9,404
95.1.1%Heard, GA / 11,720
96.1.1%Hancock, GA / 9,649
97.1.1%Warren, GA / 5,936
98.1.0%Wilkinson, GA / 9,685
99.1.0%Dooly, GA / 14,283
100.1.0%Butts, GA / 23,401
100.1.0%Peach, GA / 26,883
102.0.9%Seminole, GA / 8,797
103.0.9%Wayne, GA / 29,705
104.0.9%Talbot, GA / 6,920
105.0.9%Berrien, GA / 18,708
106.0.9%Polk, GA / 41,095
106.0.9%Wilkes, GA / 10,580
106.0.9%Atkinson, GA / 8,332
109.0.8%Clayton, GA / 260,156
110.0.7%Long, GA / 13,142
111.0.7%Montgomery, GA / 9,138
112.0.6%Mcduffie, GA / 21,719
113.0.6%Oglethorpe, GA / 14,556
113.0.6%Mitchell, GA / 23,697
115.0.6%Burke, GA / 23,083
115.0.6%Liberty, GA / 63,854
117.0.5%Washington, GA / 21,112
118.0.5%Wilcox, GA / 9,041
119.0.5%Macon, GA / 14,553
120.0.4%Jefferson, GA / 16,919
120.0.4%Chattooga, GA / 25,985
122.0.2%Colquitt, GA / 44,712
123.0.1%Ware, GA / 36,006

Please note that we only rank locations with 'Percentage of House with a Mortgage where Monthly Holding Costs $3000 or More' data. The rank above might not be a complete list. Locations without 'Percentage of House with a Mortgage where Monthly Holding Costs $3000 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.


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