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South Carolina Percentage of House with a Mortgage where Monthly Holding Costs $1500-$2000 County Rank

Based on ACS 2005-2009 data*

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

RankPercentage of House with a Mortgage where Monthly Holding Costs $1500-$2000 ▼County / Population
1.22.0%Dorchester, SC / 122,442
2.20.8%Beaufort, SC / 147,799
3.20.6%Charleston, SC / 345,714
4.19.8%York, SC / 209,351
5.17.6%Richland, SC / 359,144
6.17.4%Greenville, SC / 430,273
7.17.2%Berkeley, SC / 163,328
8.16.5%Lexington, SC / 244,348
9.15.3%Georgetown, SC / 60,235
10.15.2%Horry, SC / 248,601
11.13.4%Pickens, SC / 116,092
12.13.1%Oconee, SC / 70,507
13.13.1%Mccormick, SC / 10,087
14.12.4%Aiken, SC / 152,647
15.12.2%Florence, SC / 132,153
16.12.1%Lancaster, SC / 73,725
17.11.7%Anderson, SC / 179,914
18.11.5%Spartanburg, SC / 276,544
19.11.5%Kershaw, SC / 58,176
20.11.1%Edgefield, SC / 25,469
21.11.0%Laurens, SC / 69,697
22.11.0%Fairfield, SC / 23,482
23.10.6%Saluda, SC / 18,947
24.9.9%Jasper, SC / 22,250
25.9.3%Greenwood, SC / 68,631
26.9.1%Newberry, SC / 37,992
27.8.9%Calhoun, SC / 14,746
28.8.8%Sumter, SC / 104,441
29.8.7%Darlington, SC / 66,771
30.8.5%Union, SC / 27,800
31.8.4%Cherokee, SC / 54,175
32.8.2%Colleton, SC / 39,128
33.8.0%Orangeburg, SC / 90,387
34.7.9%Barnwell, SC / 22,914
35.7.6%Williamsburg, SC / 34,920
36.7.0%Chesterfield, SC / 42,876
37.6.9%Abbeville, SC / 25,347
38.6.3%Marion, SC / 34,023
39.5.8%Chester, SC / 32,666
40.5.8%Dillon, SC / 30,777
41.5.5%Hampton, SC / 20,997
42.5.2%Allendale, SC / 10,459
43.5.1%Clarendon, SC / 32,863
44.4.4%Lee, SC / 20,074
44.4.4%Marlboro, SC / 28,571
46.0.8%Bamberg, SC / 15,384

Please note that we only rank locations with 'Percentage of House with a Mortgage where Monthly Holding Costs $1500-$2000' data. The rank above might not be a complete list. Locations without 'Percentage of House with a Mortgage where Monthly Holding Costs $1500-$2000' 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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