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South Carolina Percentage of House without a Mortgage where Monthly Holding Costs $700 or More County Rank

Based on ACS 2006-2010 data*

A total of 46 results found. Show Results on Map.

RankPercentage of House without a Mortgage where Monthly Holding Costs $700 or More ▼County / Population
1.26.6%Beaufort, SC / 155,550
2.22.1%Charleston, SC / 342,434
3.10.9%Richland, SC / 372,597
4.8.8%Georgetown, SC / 60,236
5.8.3%Dorchester, SC / 129,618
6.7.6%Newberry, SC / 37,197
7.7.4%Fairfield, SC / 24,040
8.6.6%Calhoun, SC / 15,212
9.6.3%Horry, SC / 258,267
10.5.9%Colleton, SC / 38,833
11.5.7%Greenville, SC / 436,437
12.5.5%Berkeley, SC / 169,878
13.5.5%Jasper, SC / 23,634
14.5.4%Hampton, SC / 21,173
15.5.3%Lexington, SC / 252,563
16.4.8%York, SC / 214,916
17.4.4%Edgefield, SC / 26,680
18.4.2%Oconee, SC / 73,035
19.4.1%Kershaw, SC / 60,166
20.4.1%Florence, SC / 134,897
21.3.9%Orangeburg, SC / 92,475
22.3.6%Mccormick, SC / 10,203
23.3.6%Marlboro, SC / 29,112
24.3.5%Aiken, SC / 156,670
25.3.5%Sumter, SC / 106,601
26.3.5%Allendale, SC / 10,688
26.3.5%Darlington, SC / 68,602
28.3.4%Saluda, SC / 19,567
29.3.3%Clarendon, SC / 34,621
30.3.3%Abbeville, SC / 25,643
31.3.2%Marion, SC / 33,568
32.3.2%Spartanburg, SC / 278,167
33.3.2%Anderson, SC / 183,691
34.2.5%Pickens, SC / 117,823
35.2.3%Barnwell, SC / 22,748
36.2.2%Chesterfield, SC / 46,087
37.2.2%Union, SC / 29,089
38.2.1%Laurens, SC / 67,026
39.2.0%Williamsburg, SC / 34,994
40.1.9%Lee, SC / 19,615
41.1.6%Greenwood, SC / 68,890
42.1.4%Cherokee, SC / 54,832
42.1.4%Lancaster, SC / 72,302
44.1.4%Bamberg, SC / 16,139
45.1.2%Chester, SC / 33,246
46.1.1%Dillon, SC / 31,666

Please note that we only rank locations with 'Percentage of House without a Mortgage where Monthly Holding Costs $700 or More' data. The rank above might not be a complete list. Locations without 'Percentage of House without a Mortgage where Monthly Holding Costs $700 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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