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Dillon County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Dillon CountySouth CarolinaU.S.
Total Housing Units13,651, 100%2,160,383132,741,033
No Bedroom81, 0.59%, see rank1.46%2.17%
1 Bedroom554, 4.06%, see rank5.67%11.16%
2 Bedrooms4,068, 29.80%, see rank25.61%26.69%
3 Bedrooms7,030, 51.50%, see rank48.91%39.70%
4 Bedrooms1,634, 11.97%, see rank14.98%16.05%
5 or More Bedrooms284, 2.08%, see rank3.36%4.22%

ACS 2008-2012 data

 Dillon CountySouth CarolinaU.S.
Total Housing Units13,687, 100%2,134,456131,642,457
No Bedroom50, 0.37%, see rank1.82%2.16%
1 Bedroom489, 3.57%, see rank5.56%11.12%
2 Bedrooms4,508, 32.94%, see rank25.75%26.85%
3 Bedrooms6,771, 49.47%, see rank49.01%39.76%
4 Bedrooms1,596, 11.66%, see rank14.72%15.95%
5 or More Bedrooms273, 1.99%, see rank3.15%4.16%

ACS 2006-2010 data

 Dillon CountySouth CarolinaU.S.
Total Housing Units13,619, 100%2,088,161130,038,080
No Bedroom66, 0.48%, see rank1.40%1.84%
1 Bedroom552, 4.05%, see rank5.65%11.32%
2 Bedrooms4,438, 32.59%, see rank26.50%27.20%
3 Bedrooms6,741, 49.50%, see rank49.19%39.80%
4 Bedrooms1,550, 11.38%, see rank14.31%15.80%
5 or More Bedrooms272, 2.00%, see rank2.95%4.04%

ACS 2005-2009 data

 Dillon CountySouth CarolinaU.S.
Total Housing Units13,031, 100%2,020,422127,699,712
No Bedroom33, 0.25%, see rank1.07%1.66%
1 Bedroom525, 4.03%, see rank5.73%11.48%
2 Bedrooms4,089, 31.38%, see rank27.12%27.48%
3 Bedrooms6,687, 51.32%, see rank49.27%39.79%
4 Bedrooms1,434, 11.00%, see rank14.01%15.64%
5 or More Bedrooms263, 2.02%, see rank2.80%3.94%

US Census 2000 data

 Dillon CountySouth CarolinaU.S.
Total Housing Units12,679, 100%1,753,670115,904,641
No Bedroom135, 1.06%, see rank0.95%2.95%
1 Bedroom841, 6.63%, see rank7.32%13.38%
2 Bedrooms3,348, 26.41%, see rank29.45%28.39%
3 Bedrooms6,782, 53.49%, see rank48.33%38.37%
4 Bedrooms1,266, 9.99%, see rank11.82%13.81%
5 or More Bedrooms307, 2.42%, see rank2.13%3.09%

* 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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