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Columbia County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Columbia CountyGeorgiaU.S.
Total Housing Units51,125, 100%4,114,496132,741,033
No Bedroom151, 0.30%, see rank1.26%2.17%
1 Bedroom681, 1.33%, see rank7.39%11.16%
2 Bedrooms7,212, 14.11%, see rank23.13%26.69%
3 Bedrooms23,222, 45.42%, see rank43.93%39.70%
4 Bedrooms15,479, 30.28%, see rank18.08%16.05%
5 or More Bedrooms4,380, 8.57%, see rank6.22%4.22%

ACS 2008-2012 data

 Columbia CountyGeorgiaU.S.
Total Housing Units48,843, 100%4,086,231131,642,457
No Bedroom63, 0.13%, see rank1.24%2.16%
1 Bedroom998, 2.04%, see rank7.42%11.12%
2 Bedrooms7,753, 15.87%, see rank23.32%26.85%
3 Bedrooms22,943, 46.97%, see rank44.08%39.76%
4 Bedrooms13,436, 27.51%, see rank17.90%15.95%
5 or More Bedrooms3,650, 7.47%, see rank6.03%4.16%

ACS 2006-2010 data

 Columbia CountyGeorgiaU.S.
Total Housing Units46,314, 100%4,020,736130,038,080
No Bedroom79, 0.17%, see rank0.96%1.84%
1 Bedroom1,046, 2.26%, see rank7.70%11.32%
2 Bedrooms7,533, 16.27%, see rank23.81%27.20%
3 Bedrooms22,212, 47.96%, see rank44.22%39.80%
4 Bedrooms11,774, 25.42%, see rank17.59%15.80%
5 or More Bedrooms3,670, 7.92%, see rank5.72%4.04%

ACS 2005-2009 data

 Columbia CountyGeorgiaU.S.
Total Housing Units42,673, 100%3,944,621127,699,712
No Bedroom71, 0.17%, see rank0.80%1.66%
1 Bedroom1,049, 2.46%, see rank7.73%11.48%
2 Bedrooms6,614, 15.50%, see rank24.35%27.48%
3 Bedrooms20,412, 47.83%, see rank44.28%39.79%
4 Bedrooms11,376, 26.66%, see rank17.44%15.64%
5 or More Bedrooms3,151, 7.38%, see rank5.41%3.94%

US Census 2000 data

 Columbia CountyGeorgiaU.S.
Total Housing Units33,321, 100%3,281,737115,904,641
No Bedroom77, 0.23%, see rank1.58%2.95%
1 Bedroom917, 2.75%, see rank9.77%13.38%
2 Bedrooms5,335, 16.01%, see rank26.22%28.39%
3 Bedrooms17,282, 51.87%, see rank43.99%38.37%
4 Bedrooms8,069, 24.22%, see rank14.84%13.81%
5 or More Bedrooms1,641, 4.92%, see rank3.60%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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