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Gainesville, GA Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Gainesville, GAGeorgiaU.S.
Total Housing Units13,016, 100%4,114,496132,741,033
No Bedroom445, 3.42%, see rank1.26%2.17%
1 Bedroom1,786, 13.72%, see rank7.39%11.16%
2 Bedrooms4,519, 34.72%, see rank23.13%26.69%
3 Bedrooms4,143, 31.83%, see rank43.93%39.70%
4 Bedrooms1,607, 12.35%, see rank18.08%16.05%
5 or More Bedrooms516, 3.96%, see rank6.22%4.22%

ACS 2008-2012 data

 Gainesville, GAGeorgiaU.S.
Total Housing Units12,738, 100%4,086,231131,642,457
No Bedroom473, 3.71%, see rank1.24%2.16%
1 Bedroom1,780, 13.97%, see rank7.42%11.12%
2 Bedrooms4,352, 34.17%, see rank23.32%26.85%
3 Bedrooms3,730, 29.28%, see rank44.08%39.76%
4 Bedrooms1,793, 14.08%, see rank17.90%15.95%
5 or More Bedrooms610, 4.79%, see rank6.03%4.16%

ACS 2006-2010 data

 Gainesville, GAGeorgiaU.S.
Total Housing Units12,692, 100%4,020,736130,038,080
No Bedroom238, 1.88%, see rank0.96%1.84%
1 Bedroom1,806, 14.23%, see rank7.70%11.32%
2 Bedrooms4,593, 36.19%, see rank23.81%27.20%
3 Bedrooms3,964, 31.23%, see rank44.22%39.80%
4 Bedrooms1,606, 12.65%, see rank17.59%15.80%
5 or More Bedrooms485, 3.82%, see rank5.72%4.04%

ACS 2005-2009 data

 Gainesville, GAGeorgiaU.S.
Total Housing Units11,791, 100%3,944,621127,699,712
No Bedroom268, 2.27%, see rank0.80%1.66%
1 Bedroom1,705, 14.46%, see rank7.73%11.48%
2 Bedrooms3,725, 31.59%, see rank24.35%27.48%
3 Bedrooms3,808, 32.30%, see rank44.28%39.79%
4 Bedrooms1,652, 14.01%, see rank17.44%15.64%
5 or More Bedrooms633, 5.37%, see rank5.41%3.94%

US Census 2000 data

 Gainesville, GAGeorgiaU.S.
Total Housing Units8,912, 100%3,281,737115,904,641
No Bedroom283, 3.18%, see rank1.58%2.95%
1 Bedroom1,337, 15.00%, see rank9.77%13.38%
2 Bedrooms3,180, 35.68%, see rank26.22%28.39%
3 Bedrooms2,723, 30.55%, see rank43.99%38.37%
4 Bedrooms1,035, 11.61%, see rank14.84%13.81%
5 or More Bedrooms354, 3.97%, 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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