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33875 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33875 Zip CodeFloridaU.S.
Total Housing Units5,269, see rank, 100%9,051,851132,741,033
Occupied Housing Units4,292, 81.46%, see rank79.74%87.55%
Owner Occupied3,601, 68.34%, see rank52.73%56.34%
Renter Occupied691, 13.11%, see rank27.01%31.21%
Vacant Housing Units977, 18.54%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only45, 0.85%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use737, 13.99%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant195, 3.70%, see rank4.54%4.00%

US Census 2010 data

 33875 Zip CodeFloridaU.S.
Total Housing Units5,739, see rank, 100%8,989,580131,704,730
Occupied Housing Units4,857, 84.63%, see rank82.55%88.62%
Owner Occupied4,139, 72.12%, see rank55.61%57.69%
Renter Occupied718, 12.51%, see rank26.94%30.93%
Vacant Housing Units882, 15.37%, see rank17.45%11.38%
For Rent77, 1.34%, see rank4.13%3.14%
For Sale Only167, 2.91%, see rank2.21%1.44%
Rented or Sold, Not Occupied37, 0.64%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use453, 7.89%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant148, 2.58%, see rank3.26%2.77%

ACS 2008-2012 data

 33875 Zip CodeFloridaU.S.
Total Housing Units5,492, see rank, 100%8,983,414131,642,457
Occupied Housing Units4,095, 74.56%, see rank79.56%87.53%
Owner Occupied3,526, 64.20%, see rank54.16%57.34%
Renter Occupied569, 10.36%, see rank25.40%30.19%
Vacant Housing Units1,397, 25.44%, see rank20.44%12.47%
For Rent69, 1.26%, see rank3.35%2.50%
For Sale Only152, 2.77%, see rank2.07%1.38%
Rented or Sold, Not Occupied40, 0.73%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use954, 17.37%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant182, 3.31%, see rank4.35%3.84%

* 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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