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Caswell County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Caswell CountyNorth CarolinaU.S.
Total Housing Units10,601, 100%4,385,668132,741,033
No Bedroom56, 0.53%, see rank1.26%2.17%
1 Bedroom343, 3.24%, see rank6.61%11.16%
2 Bedrooms2,986, 28.17%, see rank26.47%26.69%
3 Bedrooms5,713, 53.89%, see rank47.54%39.70%
4 Bedrooms1,232, 11.62%, see rank14.55%16.05%
5 or More Bedrooms271, 2.56%, see rank3.57%4.22%

ACS 2008-2012 data

 Caswell CountyNorth CarolinaU.S.
Total Housing Units10,598, 100%4,325,088131,642,457
No Bedroom78, 0.74%, see rank1.14%2.16%
1 Bedroom402, 3.79%, see rank6.59%11.12%
2 Bedrooms3,036, 28.65%, see rank26.98%26.85%
3 Bedrooms5,598, 52.82%, see rank47.61%39.76%
4 Bedrooms1,061, 10.01%, see rank14.29%15.95%
5 or More Bedrooms423, 3.99%, see rank3.39%4.16%

ACS 2006-2010 data

 Caswell CountyNorth CarolinaU.S.
Total Housing Units10,546, 100%4,229,552130,038,080
No Bedroom72, 0.68%, see rank0.81%1.84%
1 Bedroom275, 2.61%, see rank6.83%11.32%
2 Bedrooms2,937, 27.85%, see rank27.56%27.20%
3 Bedrooms5,906, 56.00%, see rank47.71%39.80%
4 Bedrooms923, 8.75%, see rank13.97%15.80%
5 or More Bedrooms433, 4.11%, see rank3.12%4.04%

ACS 2005-2009 data

 Caswell CountyNorth CarolinaU.S.
Total Housing Units10,254, 100%4,120,599127,699,712
No Bedroom87, 0.85%, see rank0.65%1.66%
1 Bedroom250, 2.44%, see rank6.90%11.48%
2 Bedrooms3,105, 30.28%, see rank28.06%27.48%
3 Bedrooms5,681, 55.40%, see rank47.76%39.79%
4 Bedrooms848, 8.27%, see rank13.62%15.64%
5 or More Bedrooms283, 2.76%, see rank3.00%3.94%

US Census 2000 data

 Caswell CountyNorth CarolinaU.S.
Total Housing Units9,601, 100%3,523,944115,904,641
No Bedroom52, 0.54%, see rank1.07%2.95%
1 Bedroom423, 4.41%, see rank8.12%13.38%
2 Bedrooms2,691, 28.03%, see rank30.02%28.39%
3 Bedrooms5,347, 55.69%, see rank46.80%38.37%
4 Bedrooms861, 8.97%, see rank11.76%13.81%
5 or More Bedrooms227, 2.36%, see rank2.24%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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