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33473 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33473 Zip CodeFloridaU.S.
Total Housing Units2,465, see rank, 100%9,051,851132,741,033
Occupied Housing Units2,119, 85.96%, see rank79.74%87.55%
Owner Occupied1,989, 80.69%, see rank52.73%56.34%
Renter Occupied130, 5.27%, see rank27.01%31.21%
Vacant Housing Units346, 14.04%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only14, 0.57%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use280, 11.36%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant52, 2.11%, see rank4.54%4.00%

US Census 2010 data

 33473 Zip CodeFloridaU.S.
Total Housing Units2,118, see rank, 100%8,989,580131,704,730
Occupied Housing Units1,792, 84.61%, see rank82.55%88.62%
Owner Occupied1,632, 77.05%, see rank55.61%57.69%
Renter Occupied160, 7.55%, see rank26.94%30.93%
Vacant Housing Units326, 15.39%, see rank17.45%11.38%
For Rent12, 0.57%, see rank4.13%3.14%
For Sale Only105, 4.96%, see rank2.21%1.44%
Rented or Sold, Not Occupied24, 1.13%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use92, 4.34%, see rank7.31%3.53%
For Migrant Workers3, 0.14%, see rank0.02%0.02%
Other Vacant90, 4.25%, see rank3.26%2.77%

ACS 2008-2012 data

 33473 Zip CodeFloridaU.S.
Total Housing Units1,852, see rank, 100%8,983,414131,642,457
Occupied Housing Units1,623, 87.63%, see rank79.56%87.53%
Owner Occupied1,434, 77.43%, see rank54.16%57.34%
Renter Occupied189, 10.21%, see rank25.40%30.19%
Vacant Housing Units229, 12.37%, see rank20.44%12.47%
For Rent0, 0.00%, see rank3.35%2.50%
For Sale Only14, 0.76%, see rank2.07%1.38%
Rented or Sold, Not Occupied44, 2.38%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use109, 5.89%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant62, 3.35%, 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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