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Houston County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Houston CountyAlabamaU.S.
Total Housing Units45,844, 100%2,190,638132,741,033
No Bedroom175, 0.38%, see rank1.21%2.17%
1 Bedroom2,281, 4.98%, see rank6.20%11.16%
2 Bedrooms10,232, 22.32%, see rank23.92%26.69%
3 Bedrooms26,076, 56.88%, see rank49.95%39.70%
4 Bedrooms6,234, 13.60%, see rank15.40%16.05%
5 or More Bedrooms846, 1.85%, see rank3.33%4.22%

ACS 2008-2012 data

 Houston CountyAlabamaU.S.
Total Housing Units45,310, 100%2,172,647131,642,457
No Bedroom210, 0.46%, see rank1.13%2.16%
1 Bedroom2,269, 5.01%, see rank6.24%11.12%
2 Bedrooms10,458, 23.08%, see rank24.11%26.85%
3 Bedrooms25,802, 56.95%, see rank50.35%39.76%
4 Bedrooms5,747, 12.68%, see rank15.04%15.95%
5 or More Bedrooms824, 1.82%, see rank3.13%4.16%

ACS 2006-2010 data

 Houston CountyAlabamaU.S.
Total Housing Units44,633, 100%2,146,513130,038,080
No Bedroom153, 0.34%, see rank0.77%1.84%
1 Bedroom2,462, 5.52%, see rank6.45%11.32%
2 Bedrooms10,309, 23.10%, see rank24.90%27.20%
3 Bedrooms25,219, 56.50%, see rank50.32%39.80%
4 Bedrooms5,692, 12.75%, see rank14.53%15.80%
5 or More Bedrooms798, 1.79%, see rank3.04%4.04%

ACS 2005-2009 data

 Houston CountyAlabamaU.S.
Total Housing Units43,362, 100%2,139,970127,699,712
No Bedroom143, 0.33%, see rank0.63%1.66%
1 Bedroom2,314, 5.34%, see rank6.71%11.48%
2 Bedrooms10,224, 23.58%, see rank25.76%27.48%
3 Bedrooms24,513, 56.53%, see rank49.79%39.79%
4 Bedrooms5,365, 12.37%, see rank14.22%15.64%
5 or More Bedrooms803, 1.85%, see rank2.89%3.94%

US Census 2000 data

 Houston CountyAlabamaU.S.
Total Housing Units39,571, 100%1,963,711115,904,641
No Bedroom431, 1.09%, see rank1.15%2.95%
1 Bedroom2,785, 7.04%, see rank8.07%13.38%
2 Bedrooms10,276, 25.97%, see rank27.78%28.39%
3 Bedrooms21,325, 53.89%, see rank48.29%38.37%
4 Bedrooms4,284, 10.83%, see rank12.43%13.81%
5 or More Bedrooms470, 1.19%, see rank2.28%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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