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

Based on ACS 2008-2012 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
1.27.5%Beaufort, SC / 162,316
2.24.5%Charleston, SC / 352,548
3.12.2%Georgetown, SC / 60,285
4.10.9%Mccormick, SC / 10,140
5.10.8%Newberry, SC / 37,432
6.9.7%Dorchester, SC / 136,836
7.9.7%Richland, SC / 384,596
8.9.6%Fairfield, SC / 23,804
9.7.5%Bamberg, SC / 15,941
10.7.4%Calhoun, SC / 15,134
11.6.7%Colleton, SC / 38,665
12.6.4%Berkeley, SC / 179,773
13.6.3%Horry, SC / 270,943
14.6.2%Greenville, SC / 452,931
15.5.9%Lexington, SC / 262,424
16.5.2%York, SC / 226,576
16.5.2%Oconee, SC / 74,038
18.5.1%Edgefield, SC / 26,763
19.5.1%Florence, SC / 136,714
20.4.9%Hampton, SC / 20,987
21.4.5%Saluda, SC / 19,758
22.4.5%Orangeburg, SC / 92,229
23.4.4%Abbeville, SC / 25,387
24.4.3%Aiken, SC / 160,169
25.4.2%Jasper, SC / 24,792
26.4.1%Sumter, SC / 107,279
27.4.0%Marlboro, SC / 28,750
28.4.0%Marion, SC / 33,038
29.3.9%Barnwell, SC / 22,523
30.3.9%Clarendon, SC / 34,746
31.3.9%Spartanburg, SC / 284,540
32.3.8%Darlington, SC / 68,500
33.3.8%Lee, SC / 19,160
34.3.7%Dillon, SC / 31,733
35.3.5%Kershaw, SC / 61,583
36.3.4%Laurens, SC / 66,623
37.3.3%Williamsburg, SC / 34,361
38.3.3%Anderson, SC / 187,228
39.3.2%Pickens, SC / 119,167
40.3.2%Union, SC / 28,804
41.2.7%Greenwood, SC / 69,531
42.2.7%Lancaster, SC / 76,364
43.2.5%Chesterfield, SC / 46,462
44.2.0%Chester, SC / 33,028
45.1.9%Allendale, SC / 10,399
46.1.8%Cherokee, SC / 55,351

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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