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Gloucester County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Gloucester CountyVirginiaU.S.
Total Housing Units15,993, 100%3,403,241132,741,033
No Bedroom148, 0.93%, see rank1.46%2.17%
1 Bedroom528, 3.30%, see rank8.47%11.16%
2 Bedrooms3,100, 19.38%, see rank23.83%26.69%
3 Bedrooms9,193, 57.48%, see rank39.65%39.70%
4 Bedrooms2,736, 17.11%, see rank20.28%16.05%
5 or More Bedrooms288, 1.80%, see rank6.31%4.22%

ACS 2008-2012 data

 Gloucester CountyVirginiaU.S.
Total Housing Units15,900, 100%3,365,855131,642,457
No Bedroom127, 0.80%, see rank1.47%2.16%
1 Bedroom393, 2.47%, see rank8.39%11.12%
2 Bedrooms3,469, 21.82%, see rank24.03%26.85%
3 Bedrooms8,833, 55.55%, see rank39.58%39.76%
4 Bedrooms2,739, 17.23%, see rank20.29%15.95%
5 or More Bedrooms339, 2.13%, see rank6.24%4.16%

ACS 2006-2010 data

 Gloucester CountyVirginiaU.S.
Total Housing Units15,706, 100%3,315,739130,038,080
No Bedroom21, 0.13%, see rank1.17%1.84%
1 Bedroom447, 2.85%, see rank8.40%11.32%
2 Bedrooms4,001, 25.47%, see rank24.34%27.20%
3 Bedrooms8,758, 55.76%, see rank39.87%39.80%
4 Bedrooms2,215, 14.10%, see rank20.21%15.80%
5 or More Bedrooms264, 1.68%, see rank6.00%4.04%

ACS 2005-2009 data

 Gloucester CountyVirginiaU.S.
Total Housing Units16,229, 100%3,264,058127,699,712
No Bedroom24, 0.15%, see rank0.99%1.66%
1 Bedroom317, 1.95%, see rank8.43%11.48%
2 Bedrooms4,065, 25.05%, see rank24.64%27.48%
3 Bedrooms9,143, 56.34%, see rank40.11%39.79%
4 Bedrooms2,355, 14.51%, see rank20.07%15.64%
5 or More Bedrooms325, 2.00%, see rank5.76%3.94%

US Census 2000 data

 Gloucester CountyVirginiaU.S.
Total Housing Units14,494, 100%2,904,192115,904,641
No Bedroom19, 0.13%, see rank1.61%2.95%
1 Bedroom711, 4.91%, see rank9.52%13.38%
2 Bedrooms3,533, 24.38%, see rank25.62%28.39%
3 Bedrooms7,923, 54.66%, see rank40.25%38.37%
4 Bedrooms2,009, 13.86%, see rank18.63%13.81%
5 or More Bedrooms299, 2.06%, see rank4.38%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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