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Garrett County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Garrett CountyMarylandU.S.
Total Housing Units18,987, 100%2,399,375132,741,033
No Bedroom146, 0.77%, see rank1.33%2.17%
1 Bedroom1,063, 5.60%, see rank10.34%11.16%
2 Bedrooms4,349, 22.91%, see rank22.38%26.69%
3 Bedrooms8,769, 46.18%, see rank37.63%39.70%
4 Bedrooms3,273, 17.24%, see rank21.12%16.05%
5 or More Bedrooms1,387, 7.30%, see rank7.20%4.22%

ACS 2008-2012 data

 Garrett CountyMarylandU.S.
Total Housing Units18,850, 100%2,378,932131,642,457
No Bedroom182, 0.97%, see rank1.37%2.16%
1 Bedroom1,106, 5.87%, see rank10.28%11.12%
2 Bedrooms4,544, 24.11%, see rank22.62%26.85%
3 Bedrooms8,596, 45.60%, see rank37.50%39.76%
4 Bedrooms3,043, 16.14%, see rank21.07%15.95%
5 or More Bedrooms1,379, 7.32%, see rank7.16%4.16%

ACS 2006-2010 data

 Garrett CountyMarylandU.S.
Total Housing Units18,666, 100%2,354,870130,038,080
No Bedroom216, 1.16%, see rank1.13%1.84%
1 Bedroom1,127, 6.04%, see rank10.45%11.32%
2 Bedrooms4,131, 22.13%, see rank22.66%27.20%
3 Bedrooms8,753, 46.89%, see rank37.91%39.80%
4 Bedrooms3,002, 16.08%, see rank20.88%15.80%
5 or More Bedrooms1,437, 7.70%, see rank6.97%4.04%

ACS 2005-2009 data

 Garrett CountyMarylandU.S.
Total Housing Units18,817, 100%2,313,193127,699,712
No Bedroom277, 1.47%, see rank0.96%1.66%
1 Bedroom978, 5.20%, see rank10.52%11.48%
2 Bedrooms4,479, 23.80%, see rank22.79%27.48%
3 Bedrooms8,779, 46.65%, see rank38.14%39.79%
4 Bedrooms3,078, 16.36%, see rank20.89%15.64%
5 or More Bedrooms1,226, 6.52%, see rank6.71%3.94%

US Census 2000 data

 Garrett CountyMarylandU.S.
Total Housing Units16,761, 100%2,145,283115,904,641
No Bedroom116, 0.69%, see rank2.03%2.95%
1 Bedroom954, 5.69%, see rank11.88%13.38%
2 Bedrooms4,315, 25.74%, see rank22.83%28.39%
3 Bedrooms7,887, 47.06%, see rank39.02%38.37%
4 Bedrooms2,826, 16.86%, see rank19.08%13.81%
5 or More Bedrooms663, 3.96%, see rank5.16%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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