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Ward County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Ward CountyNorth DakotaU.S.
Total Housing Units29,046, 100%332,010132,741,033
No Bedroom472, 1.63%, see rank1.70%2.17%
1 Bedroom2,915, 10.04%, see rank10.16%11.16%
2 Bedrooms8,418, 28.98%, see rank29.49%26.69%
3 Bedrooms10,228, 35.21%, see rank32.98%39.70%
4 Bedrooms4,866, 16.75%, see rank18.64%16.05%
5 or More Bedrooms2,147, 7.39%, see rank7.04%4.22%

ACS 2008-2012 data

 Ward CountyNorth DakotaU.S.
Total Housing Units27,185, 100%319,468131,642,457
No Bedroom473, 1.74%, see rank1.60%2.16%
1 Bedroom2,751, 10.12%, see rank9.91%11.12%
2 Bedrooms7,685, 28.27%, see rank29.94%26.85%
3 Bedrooms10,015, 36.84%, see rank33.36%39.76%
4 Bedrooms4,619, 16.99%, see rank18.62%15.95%
5 or More Bedrooms1,642, 6.04%, see rank6.57%4.16%

ACS 2006-2010 data

 Ward CountyNorth DakotaU.S.
Total Housing Units26,294, 100%312,861130,038,080
No Bedroom216, 0.82%, see rank1.33%1.84%
1 Bedroom2,451, 9.32%, see rank10.19%11.32%
2 Bedrooms7,749, 29.47%, see rank30.02%27.20%
3 Bedrooms9,779, 37.19%, see rank33.61%39.80%
4 Bedrooms4,564, 17.36%, see rank18.50%15.80%
5 or More Bedrooms1,535, 5.84%, see rank6.34%4.04%

ACS 2005-2009 data

 Ward CountyNorth DakotaU.S.
Total Housing Units26,087, 100%309,043127,699,712
No Bedroom205, 0.79%, see rank1.23%1.66%
1 Bedroom2,442, 9.36%, see rank10.32%11.48%
2 Bedrooms7,684, 29.46%, see rank30.44%27.48%
3 Bedrooms9,627, 36.90%, see rank33.41%39.79%
4 Bedrooms4,804, 18.42%, see rank18.50%15.64%
5 or More Bedrooms1,325, 5.08%, see rank6.10%3.94%

US Census 2000 data

 Ward CountyNorth DakotaU.S.
Total Housing Units25,097, 100%289,677115,904,641
No Bedroom393, 1.57%, see rank1.86%2.95%
1 Bedroom2,803, 11.17%, see rank11.37%13.38%
2 Bedrooms7,151, 28.49%, see rank29.89%28.39%
3 Bedrooms10,005, 39.87%, see rank34.65%38.37%
4 Bedrooms3,779, 15.06%, see rank17.21%13.81%
5 or More Bedrooms966, 3.85%, see rank5.02%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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