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Oneida County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Oneida CountyWisconsinU.S.
Total Housing Units30,262, 100%2,635,602132,741,033
No Bedroom511, 1.69%, see rank1.76%2.17%
1 Bedroom2,178, 7.20%, see rank9.90%11.16%
2 Bedrooms10,733, 35.47%, see rank28.88%26.69%
3 Bedrooms13,249, 43.78%, see rank41.24%39.70%
4 Bedrooms2,943, 9.73%, see rank14.72%16.05%
5 or More Bedrooms648, 2.14%, see rank3.50%4.22%

ACS 2008-2012 data

 Oneida CountyWisconsinU.S.
Total Housing Units30,083, 100%2,620,401131,642,457
No Bedroom549, 1.82%, see rank1.77%2.16%
1 Bedroom2,684, 8.92%, see rank9.85%11.12%
2 Bedrooms10,195, 33.89%, see rank28.90%26.85%
3 Bedrooms13,044, 43.36%, see rank41.33%39.76%
4 Bedrooms2,967, 9.86%, see rank14.67%15.95%
5 or More Bedrooms644, 2.14%, see rank3.48%4.16%

ACS 2006-2010 data

 Oneida CountyWisconsinU.S.
Total Housing Units29,646, 100%2,593,073130,038,080
No Bedroom446, 1.50%, see rank1.51%1.84%
1 Bedroom2,719, 9.17%, see rank9.85%11.32%
2 Bedrooms10,112, 34.11%, see rank29.02%27.20%
3 Bedrooms12,492, 42.14%, see rank41.57%39.80%
4 Bedrooms3,152, 10.63%, see rank14.61%15.80%
5 or More Bedrooms725, 2.45%, see rank3.44%4.04%

ACS 2005-2009 data

 Oneida CountyWisconsinU.S.
Total Housing Units28,994, 100%2,549,915127,699,712
No Bedroom373, 1.29%, see rank1.37%1.66%
1 Bedroom2,461, 8.49%, see rank9.89%11.48%
2 Bedrooms10,681, 36.84%, see rank28.99%27.48%
3 Bedrooms11,817, 40.76%, see rank41.66%39.79%
4 Bedrooms3,031, 10.45%, see rank14.66%15.64%
5 or More Bedrooms631, 2.18%, see rank3.45%3.94%

US Census 2000 data

 Oneida CountyWisconsinU.S.
Total Housing Units26,627, 100%2,321,144115,904,641
No Bedroom364, 1.37%, see rank1.78%2.95%
1 Bedroom2,473, 9.29%, see rank10.83%13.38%
2 Bedrooms10,598, 39.80%, see rank29.41%28.39%
3 Bedrooms10,040, 37.71%, see rank41.16%38.37%
4 Bedrooms2,591, 9.73%, see rank13.94%13.81%
5 or More Bedrooms561, 2.11%, see rank2.88%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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