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Montgomery County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Montgomery CountyNew YorkU.S.
Total Housing Units23,159, 100%8,153,309132,741,033
No Bedroom228, 0.98%, see rank4.29%2.17%
1 Bedroom1,908, 8.24%, see rank19.68%11.16%
2 Bedrooms6,274, 27.09%, see rank26.84%26.69%
3 Bedrooms10,574, 45.66%, see rank31.52%39.70%
4 Bedrooms2,908, 12.56%, see rank13.27%16.05%
5 or More Bedrooms1,267, 5.47%, see rank4.40%4.22%

ACS 2008-2012 data

 Montgomery CountyNew YorkU.S.
Total Housing Units23,079, 100%8,102,223131,642,457
No Bedroom339, 1.47%, see rank4.32%2.16%
1 Bedroom1,887, 8.18%, see rank19.45%11.12%
2 Bedrooms6,456, 27.97%, see rank26.84%26.85%
3 Bedrooms10,139, 43.93%, see rank31.56%39.76%
4 Bedrooms2,986, 12.94%, see rank13.33%15.95%
5 or More Bedrooms1,272, 5.51%, see rank4.50%4.16%

ACS 2006-2010 data

 Montgomery CountyNew YorkU.S.
Total Housing Units23,020, 100%8,050,835130,038,080
No Bedroom267, 1.16%, see rank3.89%1.84%
1 Bedroom2,086, 9.06%, see rank19.70%11.32%
2 Bedrooms5,927, 25.75%, see rank26.88%27.20%
3 Bedrooms9,957, 43.25%, see rank31.51%39.80%
4 Bedrooms3,285, 14.27%, see rank13.45%15.80%
5 or More Bedrooms1,498, 6.51%, see rank4.56%4.04%

ACS 2005-2009 data

 Montgomery CountyNew YorkU.S.
Total Housing Units22,630, 100%7,950,035127,699,712
No Bedroom270, 1.19%, see rank3.71%1.66%
1 Bedroom1,981, 8.75%, see rank19.93%11.48%
2 Bedrooms5,927, 26.19%, see rank26.82%27.48%
3 Bedrooms9,789, 43.26%, see rank31.52%39.79%
4 Bedrooms3,311, 14.63%, see rank13.45%15.64%
5 or More Bedrooms1,352, 5.97%, see rank4.58%3.94%

US Census 2000 data

 Montgomery CountyNew YorkU.S.
Total Housing Units22,522, 100%7,679,307115,904,641
No Bedroom154, 0.68%, see rank5.22%2.95%
1 Bedroom2,087, 9.27%, see rank20.83%13.38%
2 Bedrooms6,272, 27.85%, see rank26.50%28.39%
3 Bedrooms10,018, 44.48%, see rank30.53%38.37%
4 Bedrooms2,984, 13.25%, see rank12.80%13.81%
5 or More Bedrooms1,007, 4.47%, 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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