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Melbourne, FL Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Melbourne, FLFloridaU.S.
Total Housing Units40,237, 100%9,051,851132,741,033
No Bedroom765, 1.90%, see rank1.80%2.17%
1 Bedroom5,078, 12.62%, see rank10.62%11.16%
2 Bedrooms13,049, 32.43%, see rank33.79%26.69%
3 Bedrooms16,800, 41.75%, see rank38.45%39.70%
4 Bedrooms4,065, 10.10%, see rank12.90%16.05%
5 or More Bedrooms480, 1.19%, see rank2.45%4.22%

ACS 2008-2012 data

 Melbourne, FLFloridaU.S.
Total Housing Units40,171, 100%8,983,414131,642,457
No Bedroom617, 1.54%, see rank1.76%2.16%
1 Bedroom5,401, 13.45%, see rank10.74%11.12%
2 Bedrooms11,862, 29.53%, see rank33.72%26.85%
3 Bedrooms17,401, 43.32%, see rank38.50%39.76%
4 Bedrooms4,419, 11.00%, see rank12.90%15.95%
5 or More Bedrooms471, 1.17%, see rank2.38%4.16%

ACS 2006-2010 data

 Melbourne, FLFloridaU.S.
Total Housing Units39,908, 100%8,863,057130,038,080
No Bedroom468, 1.17%, see rank1.41%1.84%
1 Bedroom5,398, 13.53%, see rank10.97%11.32%
2 Bedrooms11,337, 28.41%, see rank34.24%27.20%
3 Bedrooms17,990, 45.08%, see rank38.34%39.80%
4 Bedrooms4,395, 11.01%, see rank12.76%15.80%
5 or More Bedrooms320, 0.80%, see rank2.28%4.04%

ACS 2005-2009 data

 Melbourne, FLFloridaU.S.
Total Housing Units39,898, 100%8,641,264127,699,712
No Bedroom433, 1.09%, see rank1.30%1.66%
1 Bedroom5,412, 13.56%, see rank11.22%11.48%
2 Bedrooms11,307, 28.34%, see rank34.68%27.48%
3 Bedrooms17,704, 44.37%, see rank38.08%39.79%
4 Bedrooms4,704, 11.79%, see rank12.50%15.64%
5 or More Bedrooms338, 0.85%, see rank2.21%3.94%

US Census 2000 data

 Melbourne, FLFloridaU.S.
Total Housing Units33,678, 100%7,302,947115,904,641
No Bedroom901, 2.68%, see rank3.38%2.95%
1 Bedroom5,606, 16.65%, see rank14.14%13.38%
2 Bedrooms9,871, 29.31%, see rank36.63%28.39%
3 Bedrooms13,337, 39.60%, see rank34.56%38.37%
4 Bedrooms3,635, 10.79%, see rank9.78%13.81%
5 or More Bedrooms328, 0.97%, see rank1.52%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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