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33545 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33545 Zip CodeFloridaU.S.
Total Housing Units5,378, see rank, 100%9,051,851132,741,033
Occupied Housing Units4,554, 84.68%, see rank79.74%87.55%
Owner Occupied3,684, 68.50%, see rank52.73%56.34%
Renter Occupied870, 16.18%, see rank27.01%31.21%
Vacant Housing Units824, 15.32%, see rank20.26%12.45%
For Rent233, 4.33%, see rank2.97%2.34%
For Sale Only131, 2.44%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use64, 1.19%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant396, 7.36%, see rank4.54%4.00%

US Census 2010 data

 33545 Zip CodeFloridaU.S.
Total Housing Units5,192, see rank, 100%8,989,580131,704,730
Occupied Housing Units4,614, 88.87%, see rank82.55%88.62%
Owner Occupied3,612, 69.57%, see rank55.61%57.69%
Renter Occupied1,002, 19.30%, see rank26.94%30.93%
Vacant Housing Units578, 11.13%, see rank17.45%11.38%
For Rent71, 1.37%, see rank4.13%3.14%
For Sale Only165, 3.18%, see rank2.21%1.44%
Rented or Sold, Not Occupied20, 0.39%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use42, 0.81%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant280, 5.39%, see rank3.26%2.77%

ACS 2008-2012 data

 33545 Zip CodeFloridaU.S.
Total Housing Units4,928, see rank, 100%8,983,414131,642,457
Occupied Housing Units4,011, 81.39%, see rank79.56%87.53%
Owner Occupied3,158, 64.08%, see rank54.16%57.34%
Renter Occupied853, 17.31%, see rank25.40%30.19%
Vacant Housing Units917, 18.61%, see rank20.44%12.47%
For Rent210, 4.26%, see rank3.35%2.50%
For Sale Only189, 3.84%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use90, 1.83%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant428, 8.69%, 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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