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Okaloosa County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Okaloosa CountyFloridaU.S.
Total Housing Units93,550, 100%9,051,851132,741,033
No Bedroom1,110, 1.19%, see rank1.80%2.17%
1 Bedroom6,438, 6.88%, see rank10.62%11.16%
2 Bedrooms22,699, 24.26%, see rank33.79%26.69%
3 Bedrooms44,919, 48.02%, see rank38.45%39.70%
4 Bedrooms16,349, 17.48%, see rank12.90%16.05%
5 or More Bedrooms2,035, 2.18%, see rank2.45%4.22%

ACS 2008-2012 data

 Okaloosa CountyFloridaU.S.
Total Housing Units92,577, 100%8,983,414131,642,457
No Bedroom1,270, 1.37%, see rank1.76%2.16%
1 Bedroom6,631, 7.16%, see rank10.74%11.12%
2 Bedrooms23,008, 24.85%, see rank33.72%26.85%
3 Bedrooms44,175, 47.72%, see rank38.50%39.76%
4 Bedrooms15,652, 16.91%, see rank12.90%15.95%
5 or More Bedrooms1,841, 1.99%, see rank2.38%4.16%

ACS 2006-2010 data

 Okaloosa CountyFloridaU.S.
Total Housing Units91,624, 100%8,863,057130,038,080
No Bedroom778, 0.85%, see rank1.41%1.84%
1 Bedroom6,972, 7.61%, see rank10.97%11.32%
2 Bedrooms22,306, 24.35%, see rank34.24%27.20%
3 Bedrooms44,553, 48.63%, see rank38.34%39.80%
4 Bedrooms15,080, 16.46%, see rank12.76%15.80%
5 or More Bedrooms1,935, 2.11%, see rank2.28%4.04%

ACS 2005-2009 data

 Okaloosa CountyFloridaU.S.
Total Housing Units91,943, 100%8,641,264127,699,712
No Bedroom649, 0.71%, see rank1.30%1.66%
1 Bedroom7,475, 8.13%, see rank11.22%11.48%
2 Bedrooms23,285, 25.33%, see rank34.68%27.48%
3 Bedrooms43,580, 47.40%, see rank38.08%39.79%
4 Bedrooms15,082, 16.40%, see rank12.50%15.64%
5 or More Bedrooms1,872, 2.04%, see rank2.21%3.94%

US Census 2000 data

 Okaloosa CountyFloridaU.S.
Total Housing Units78,593, 100%7,302,947115,904,641
No Bedroom1,038, 1.32%, see rank3.38%2.95%
1 Bedroom6,558, 8.34%, see rank14.14%13.38%
2 Bedrooms20,929, 26.63%, see rank36.63%28.39%
3 Bedrooms37,335, 47.50%, see rank34.56%38.37%
4 Bedrooms11,434, 14.55%, see rank9.78%13.81%
5 or More Bedrooms1,299, 1.65%, 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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