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Columbia County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Columbia CountyFloridaU.S.
Total Housing Units28,460, 100%9,051,851132,741,033
No Bedroom390, 1.37%, see rank1.80%2.17%
1 Bedroom937, 3.29%, see rank10.62%11.16%
2 Bedrooms7,368, 25.89%, see rank33.79%26.69%
3 Bedrooms15,389, 54.07%, see rank38.45%39.70%
4 Bedrooms3,955, 13.90%, see rank12.90%16.05%
5 or More Bedrooms421, 1.48%, see rank2.45%4.22%

ACS 2008-2012 data

 Columbia CountyFloridaU.S.
Total Housing Units28,451, 100%8,983,414131,642,457
No Bedroom292, 1.03%, see rank1.76%2.16%
1 Bedroom1,008, 3.54%, see rank10.74%11.12%
2 Bedrooms7,404, 26.02%, see rank33.72%26.85%
3 Bedrooms16,259, 57.15%, see rank38.50%39.76%
4 Bedrooms3,085, 10.84%, see rank12.90%15.95%
5 or More Bedrooms403, 1.42%, see rank2.38%4.16%

ACS 2006-2010 data

 Columbia CountyFloridaU.S.
Total Housing Units27,993, 100%8,863,057130,038,080
No Bedroom181, 0.65%, see rank1.41%1.84%
1 Bedroom1,255, 4.48%, see rank10.97%11.32%
2 Bedrooms7,005, 25.02%, see rank34.24%27.20%
3 Bedrooms16,115, 57.57%, see rank38.34%39.80%
4 Bedrooms2,961, 10.58%, see rank12.76%15.80%
5 or More Bedrooms476, 1.70%, see rank2.28%4.04%

ACS 2005-2009 data

 Columbia CountyFloridaU.S.
Total Housing Units25,986, 100%8,641,264127,699,712
No Bedroom196, 0.75%, see rank1.30%1.66%
1 Bedroom1,293, 4.98%, see rank11.22%11.48%
2 Bedrooms6,633, 25.53%, see rank34.68%27.48%
3 Bedrooms14,770, 56.84%, see rank38.08%39.79%
4 Bedrooms2,691, 10.36%, see rank12.50%15.64%
5 or More Bedrooms403, 1.55%, see rank2.21%3.94%

US Census 2000 data

 Columbia CountyFloridaU.S.
Total Housing Units23,579, 100%7,302,947115,904,641
No Bedroom382, 1.62%, see rank3.38%2.95%
1 Bedroom1,493, 6.33%, see rank14.14%13.38%
2 Bedrooms7,512, 31.86%, see rank36.63%28.39%
3 Bedrooms11,795, 50.02%, see rank34.56%38.37%
4 Bedrooms2,194, 9.30%, see rank9.78%13.81%
5 or More Bedrooms203, 0.86%, see rank1.52%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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