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32563 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 32563 Zip CodeFloridaU.S.
Total Housing Units10,180, see rank, 100%9,051,851132,741,033
Occupied Housing Units9,135, 89.73%, see rank79.74%87.55%
Owner Occupied6,931, 68.08%, see rank52.73%56.34%
Renter Occupied2,204, 21.65%, see rank27.01%31.21%
Vacant Housing Units1,045, 10.27%, see rank20.26%12.45%
For Rent181, 1.78%, see rank2.97%2.34%
For Sale Only121, 1.19%, see rank1.66%1.20%
Rented or Sold, Not Occupied74, 0.73%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use166, 1.63%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant503, 4.94%, see rank4.54%4.00%

US Census 2010 data

 32563 Zip CodeFloridaU.S.
Total Housing Units10,114, see rank, 100%8,989,580131,704,730
Occupied Housing Units9,026, 89.24%, see rank82.55%88.62%
Owner Occupied6,750, 66.74%, see rank55.61%57.69%
Renter Occupied2,276, 22.50%, see rank26.94%30.93%
Vacant Housing Units1,088, 10.76%, see rank17.45%11.38%
For Rent301, 2.98%, see rank4.13%3.14%
For Sale Only207, 2.05%, see rank2.21%1.44%
Rented or Sold, Not Occupied55, 0.54%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use231, 2.28%, see rank7.31%3.53%
For Migrant Workers1, 0.01%, see rank0.02%0.02%
Other Vacant293, 2.90%, see rank3.26%2.77%

ACS 2008-2012 data

 32563 Zip CodeFloridaU.S.
Total Housing Units10,091, see rank, 100%8,983,414131,642,457
Occupied Housing Units9,098, 90.16%, see rank79.56%87.53%
Owner Occupied6,663, 66.03%, see rank54.16%57.34%
Renter Occupied2,435, 24.13%, see rank25.40%30.19%
Vacant Housing Units993, 9.84%, see rank20.44%12.47%
For Rent198, 1.96%, see rank3.35%2.50%
For Sale Only165, 1.64%, see rank2.07%1.38%
Rented or Sold, Not Occupied31, 0.31%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use164, 1.63%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant435, 4.31%, 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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