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Orleans County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Orleans CountyNew YorkU.S.
Total Housing Units18,479, 100%8,153,309132,741,033
No Bedroom449, 2.43%, see rank4.29%2.17%
1 Bedroom1,846, 9.99%, see rank19.68%11.16%
2 Bedrooms4,899, 26.51%, see rank26.84%26.69%
3 Bedrooms7,725, 41.80%, see rank31.52%39.70%
4 Bedrooms2,785, 15.07%, see rank13.27%16.05%
5 or More Bedrooms775, 4.19%, see rank4.40%4.22%

ACS 2008-2012 data

 Orleans CountyNew YorkU.S.
Total Housing Units18,365, 100%8,102,223131,642,457
No Bedroom434, 2.36%, see rank4.32%2.16%
1 Bedroom1,777, 9.68%, see rank19.45%11.12%
2 Bedrooms4,392, 23.92%, see rank26.84%26.85%
3 Bedrooms7,780, 42.36%, see rank31.56%39.76%
4 Bedrooms3,025, 16.47%, see rank13.33%15.95%
5 or More Bedrooms957, 5.21%, see rank4.50%4.16%

ACS 2006-2010 data

 Orleans CountyNew YorkU.S.
Total Housing Units18,300, 100%8,050,835130,038,080
No Bedroom298, 1.63%, see rank3.89%1.84%
1 Bedroom1,614, 8.82%, see rank19.70%11.32%
2 Bedrooms4,401, 24.05%, see rank26.88%27.20%
3 Bedrooms8,099, 44.26%, see rank31.51%39.80%
4 Bedrooms3,015, 16.48%, see rank13.45%15.80%
5 or More Bedrooms873, 4.77%, see rank4.56%4.04%

ACS 2005-2009 data

 Orleans CountyNew YorkU.S.
Total Housing Units17,591, 100%7,950,035127,699,712
No Bedroom218, 1.24%, see rank3.71%1.66%
1 Bedroom1,591, 9.04%, see rank19.93%11.48%
2 Bedrooms4,408, 25.06%, see rank26.82%27.48%
3 Bedrooms7,551, 42.93%, see rank31.52%39.79%
4 Bedrooms2,958, 16.82%, see rank13.45%15.64%
5 or More Bedrooms865, 4.92%, see rank4.58%3.94%

US Census 2000 data

 Orleans CountyNew YorkU.S.
Total Housing Units17,347, 100%7,679,307115,904,641
No Bedroom199, 1.15%, see rank5.22%2.95%
1 Bedroom1,537, 8.86%, see rank20.83%13.38%
2 Bedrooms4,688, 27.02%, see rank26.50%28.39%
3 Bedrooms7,428, 42.82%, see rank30.53%38.37%
4 Bedrooms2,569, 14.81%, see rank12.80%13.81%
5 or More Bedrooms926, 5.34%, see rank4.12%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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