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Gulfport, Biloxi Metro Area Historical House Amount of Units in Structure Data

 

ACS 2010-2014 data

 Gulfport, Biloxi AreaMississippiU.S.
Total Housing Units171,260, 100%1,284,794132,741,033
1-unit, Detached116,344, 67.93%, see rank69.39%61.65%
1-unit, Attached3,376, 1.97%, see rank1.19%5.82%
2 Units4,165, 2.43%, see rank2.31%3.75%
3 or 4 Units5,826, 3.40%, see rank3.00%4.43%
5 to 9 Units10,350, 6.04%, see rank4.56%4.78%
10 or More Units13,446, 7.85%, see rank4.24%13.08%
Mobile Home, Boat, RV, Van, etc.17,753, 10.37%, see rank15.31%6.49%

ACS 2008-2012 data

 Gulfport, Biloxi AreaMississippiU.S.
Total Housing Units113,774, 100%1,274,277131,642,457
1-unit, Detached74,812, 65.75%, see rank69.71%61.70%
1-unit, Attached2,700, 2.37%, see rank1.29%5.79%
2 Units2,834, 2.49%, see rank2.26%3.80%
3 or 4 Units4,092, 3.60%, see rank2.96%4.44%
5 to 9 Units6,857, 6.03%, see rank4.53%4.78%
10 or More Units8,229, 7.23%, see rank3.83%12.89%
Mobile Home, Boat, RV, Van, etc.14,250, 12.52%, see rank15.43%6.60%

ACS 2006-2010 data

 Gulfport, Biloxi AreaMississippiU.S.
Total Housing Units106,912, 100%1,255,090130,038,080
1-unit, Detached69,657, 65.15%, see rank69.84%61.62%
1-unit, Attached2,755, 2.58%, see rank1.31%5.74%
2 Units2,024, 1.89%, see rank2.20%3.88%
3 or 4 Units4,016, 3.76%, see rank3.06%4.47%
5 to 9 Units5,342, 5.00%, see rank4.53%4.84%
10 or More Units6,752, 6.32%, see rank3.53%12.68%
Mobile Home, Boat, RV, Van, etc.16,366, 15.31%, see rank15.52%6.76%

ACS 2005-2009 data

 Gulfport, Biloxi AreaMississippiU.S.
Total Housing Units105,905, 100%1,255,279127,699,712
1-unit, Detached68,868, 65.03%, see rank69.61%61.57%
1-unit, Attached2,995, 2.83%, see rank1.41%5.70%
2 Units2,047, 1.93%, see rank2.22%3.94%
3 or 4 Units3,539, 3.34%, see rank3.18%4.51%
5 to 9 Units5,085, 4.80%, see rank4.57%4.87%
10 or More Units7,358, 6.95%, see rank3.53%12.58%
Mobile Home, Boat, RV, Van, etc.16,013, 15.12%, see rank15.48%6.85%

* 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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