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Williams County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Williams CountyNorth DakotaU.S.
Total Housing Units13,063, 100%332,010132,741,033
No Bedroom244, 1.87%, see rank1.70%2.17%
1 Bedroom1,005, 7.69%, see rank10.16%11.16%
2 Bedrooms3,947, 30.22%, see rank29.49%26.69%
3 Bedrooms4,624, 35.40%, see rank32.98%39.70%
4 Bedrooms2,028, 15.52%, see rank18.64%16.05%
5 or More Bedrooms1,215, 9.30%, see rank7.04%4.22%

ACS 2008-2012 data

 Williams CountyNorth DakotaU.S.
Total Housing Units10,884, 100%319,468131,642,457
No Bedroom147, 1.35%, see rank1.60%2.16%
1 Bedroom895, 8.22%, see rank9.91%11.12%
2 Bedrooms3,241, 29.78%, see rank29.94%26.85%
3 Bedrooms3,761, 34.56%, see rank33.36%39.76%
4 Bedrooms1,855, 17.04%, see rank18.62%15.95%
5 or More Bedrooms985, 9.05%, see rank6.57%4.16%

ACS 2006-2010 data

 Williams CountyNorth DakotaU.S.
Total Housing Units10,184, 100%312,861130,038,080
No Bedroom91, 0.89%, see rank1.33%1.84%
1 Bedroom1,038, 10.19%, see rank10.19%11.32%
2 Bedrooms2,940, 28.87%, see rank30.02%27.20%
3 Bedrooms3,520, 34.56%, see rank33.61%39.80%
4 Bedrooms1,851, 18.18%, see rank18.50%15.80%
5 or More Bedrooms744, 7.31%, see rank6.34%4.04%

ACS 2005-2009 data

 Williams CountyNorth DakotaU.S.
Total Housing Units9,766, 100%309,043127,699,712
No Bedroom61, 0.62%, see rank1.23%1.66%
1 Bedroom950, 9.73%, see rank10.32%11.48%
2 Bedrooms2,969, 30.40%, see rank30.44%27.48%
3 Bedrooms3,308, 33.87%, see rank33.41%39.79%
4 Bedrooms1,739, 17.81%, see rank18.50%15.64%
5 or More Bedrooms739, 7.57%, see rank6.10%3.94%

US Census 2000 data

 Williams CountyNorth DakotaU.S.
Total Housing Units9,680, 100%289,677115,904,641
No Bedroom135, 1.39%, see rank1.86%2.95%
1 Bedroom959, 9.91%, see rank11.37%13.38%
2 Bedrooms3,014, 31.14%, see rank29.89%28.39%
3 Bedrooms3,213, 33.19%, see rank34.65%38.37%
4 Bedrooms1,669, 17.24%, see rank17.21%13.81%
5 or More Bedrooms690, 7.13%, 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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