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Putnam County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Putnam CountyNew YorkU.S.
Total Housing Units38,313, 100%8,153,309132,741,033
No Bedroom720, 1.88%, see rank4.29%2.17%
1 Bedroom3,785, 9.88%, see rank19.68%11.16%
2 Bedrooms9,283, 24.23%, see rank26.84%26.69%
3 Bedrooms14,441, 37.69%, see rank31.52%39.70%
4 Bedrooms8,620, 22.50%, see rank13.27%16.05%
5 or More Bedrooms1,464, 3.82%, see rank4.40%4.22%

ACS 2008-2012 data

 Putnam CountyNew YorkU.S.
Total Housing Units38,135, 100%8,102,223131,642,457
No Bedroom509, 1.33%, see rank4.32%2.16%
1 Bedroom3,654, 9.58%, see rank19.45%11.12%
2 Bedrooms9,036, 23.69%, see rank26.84%26.85%
3 Bedrooms14,625, 38.35%, see rank31.56%39.76%
4 Bedrooms8,624, 22.61%, see rank13.33%15.95%
5 or More Bedrooms1,687, 4.42%, see rank4.50%4.16%

ACS 2006-2010 data

 Putnam CountyNew YorkU.S.
Total Housing Units37,881, 100%8,050,835130,038,080
No Bedroom377, 1.00%, see rank3.89%1.84%
1 Bedroom3,622, 9.56%, see rank19.70%11.32%
2 Bedrooms9,008, 23.78%, see rank26.88%27.20%
3 Bedrooms14,765, 38.98%, see rank31.51%39.80%
4 Bedrooms8,352, 22.05%, see rank13.45%15.80%
5 or More Bedrooms1,757, 4.64%, see rank4.56%4.04%

ACS 2005-2009 data

 Putnam CountyNew YorkU.S.
Total Housing Units36,464, 100%7,950,035127,699,712
No Bedroom351, 0.96%, see rank3.71%1.66%
1 Bedroom3,325, 9.12%, see rank19.93%11.48%
2 Bedrooms8,469, 23.23%, see rank26.82%27.48%
3 Bedrooms14,902, 40.87%, see rank31.52%39.79%
4 Bedrooms7,623, 20.91%, see rank13.45%15.64%
5 or More Bedrooms1,794, 4.92%, see rank4.58%3.94%

US Census 2000 data

 Putnam CountyNew YorkU.S.
Total Housing Units35,030, 100%7,679,307115,904,641
No Bedroom340, 0.97%, see rank5.22%2.95%
1 Bedroom3,202, 9.14%, see rank20.83%13.38%
2 Bedrooms8,585, 24.51%, see rank26.50%28.39%
3 Bedrooms13,689, 39.08%, see rank30.53%38.37%
4 Bedrooms7,578, 21.63%, see rank12.80%13.81%
5 or More Bedrooms1,636, 4.67%, 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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