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Bladen County Historical Amount of Bedrooms in a House Data

 

ACS 2010-2014 data

 Bladen CountyNorth CarolinaU.S.
Total Housing Units17,674, 100%4,385,668132,741,033
No Bedroom115, 0.65%, see rank1.26%2.17%
1 Bedroom844, 4.78%, see rank6.61%11.16%
2 Bedrooms4,472, 25.30%, see rank26.47%26.69%
3 Bedrooms9,922, 56.14%, see rank47.54%39.70%
4 Bedrooms1,823, 10.31%, see rank14.55%16.05%
5 or More Bedrooms498, 2.82%, see rank3.57%4.22%

ACS 2008-2012 data

 Bladen CountyNorth CarolinaU.S.
Total Housing Units17,616, 100%4,325,088131,642,457
No Bedroom136, 0.77%, see rank1.14%2.16%
1 Bedroom821, 4.66%, see rank6.59%11.12%
2 Bedrooms4,364, 24.77%, see rank26.98%26.85%
3 Bedrooms9,936, 56.40%, see rank47.61%39.76%
4 Bedrooms1,955, 11.10%, see rank14.29%15.95%
5 or More Bedrooms404, 2.29%, see rank3.39%4.16%

ACS 2006-2010 data

 Bladen CountyNorth CarolinaU.S.
Total Housing Units17,388, 100%4,229,552130,038,080
No Bedroom67, 0.39%, see rank0.81%1.84%
1 Bedroom845, 4.86%, see rank6.83%11.32%
2 Bedrooms4,387, 25.23%, see rank27.56%27.20%
3 Bedrooms9,730, 55.96%, see rank47.71%39.80%
4 Bedrooms1,946, 11.19%, see rank13.97%15.80%
5 or More Bedrooms413, 2.38%, see rank3.12%4.04%

ACS 2005-2009 data

 Bladen CountyNorth CarolinaU.S.
Total Housing Units16,052, 100%4,120,599127,699,712
No Bedroom60, 0.37%, see rank0.65%1.66%
1 Bedroom738, 4.60%, see rank6.90%11.48%
2 Bedrooms4,001, 24.93%, see rank28.06%27.48%
3 Bedrooms9,258, 57.68%, see rank47.76%39.79%
4 Bedrooms1,638, 10.20%, see rank13.62%15.64%
5 or More Bedrooms357, 2.22%, see rank3.00%3.94%

US Census 2000 data

 Bladen CountyNorth CarolinaU.S.
Total Housing Units15,316, 100%3,523,944115,904,641
No Bedroom66, 0.43%, see rank1.07%2.95%
1 Bedroom942, 6.15%, see rank8.12%13.38%
2 Bedrooms4,153, 27.12%, see rank30.02%28.39%
3 Bedrooms8,361, 54.59%, see rank46.80%38.37%
4 Bedrooms1,486, 9.70%, see rank11.76%13.81%
5 or More Bedrooms308, 2.01%, 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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