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Montgomery County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Montgomery CountyIndianaU.S.
Total Housing Units16,528, 100%2,811,617132,741,033
No Bedroom168, 1.02%, see rank1.38%2.17%
1 Bedroom1,336, 8.08%, see rank9.26%11.16%
2 Bedrooms4,680, 28.32%, see rank26.57%26.69%
3 Bedrooms7,765, 46.98%, see rank44.05%39.70%
4 Bedrooms2,177, 13.17%, see rank15.33%16.05%
5 or More Bedrooms402, 2.43%, see rank3.40%4.22%

ACS 2008-2012 data

 Montgomery CountyIndianaU.S.
Total Housing Units16,537, 100%2,797,237131,642,457
No Bedroom145, 0.88%, see rank1.29%2.16%
1 Bedroom1,306, 7.90%, see rank9.16%11.12%
2 Bedrooms4,603, 27.83%, see rank26.81%26.85%
3 Bedrooms7,515, 45.44%, see rank44.04%39.76%
4 Bedrooms2,418, 14.62%, see rank15.35%15.95%
5 or More Bedrooms550, 3.33%, see rank3.36%4.16%

ACS 2006-2010 data

 Montgomery CountyIndianaU.S.
Total Housing Units16,517, 100%2,778,459130,038,080
No Bedroom117, 0.71%, see rank0.98%1.84%
1 Bedroom1,540, 9.32%, see rank9.40%11.32%
2 Bedrooms4,793, 29.02%, see rank27.14%27.20%
3 Bedrooms7,147, 43.27%, see rank44.10%39.80%
4 Bedrooms2,451, 14.84%, see rank15.12%15.80%
5 or More Bedrooms469, 2.84%, see rank3.25%4.04%

ACS 2005-2009 data

 Montgomery CountyIndianaU.S.
Total Housing Units16,551, 100%2,775,849127,699,712
No Bedroom86, 0.52%, see rank0.88%1.66%
1 Bedroom1,512, 9.14%, see rank9.62%11.48%
2 Bedrooms4,693, 28.35%, see rank27.62%27.48%
3 Bedrooms7,309, 44.16%, see rank43.76%39.79%
4 Bedrooms2,474, 14.95%, see rank14.95%15.64%
5 or More Bedrooms477, 2.88%, see rank3.17%3.94%

US Census 2000 data

 Montgomery CountyIndianaU.S.
Total Housing Units15,678, 100%2,532,319115,904,641
No Bedroom157, 1.00%, see rank1.26%2.95%
1 Bedroom1,435, 9.15%, see rank10.63%13.38%
2 Bedrooms4,842, 30.88%, see rank28.90%28.39%
3 Bedrooms6,729, 42.92%, see rank42.84%38.37%
4 Bedrooms2,142, 13.66%, see rank13.78%13.81%
5 or More Bedrooms373, 2.38%, see rank2.58%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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