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33563 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33563 Zip CodeFloridaU.S.
Total Housing Units10,231, see rank, 100%9,051,851132,741,033
Occupied Housing Units8,943, 87.41%, see rank79.74%87.55%
Owner Occupied4,516, 44.14%, see rank52.73%56.34%
Renter Occupied4,427, 43.27%, see rank27.01%31.21%
Vacant Housing Units1,288, 12.59%, see rank20.26%12.45%
For Rent242, 2.37%, see rank2.97%2.34%
For Sale Only91, 0.89%, see rank1.66%1.20%
Rented or Sold, Not Occupied54, 0.53%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use387, 3.78%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant514, 5.02%, see rank4.54%4.00%

US Census 2010 data

 33563 Zip CodeFloridaU.S.
Total Housing Units10,224, see rank, 100%8,989,580131,704,730
Occupied Housing Units8,900, 87.05%, see rank82.55%88.62%
Owner Occupied5,072, 49.61%, see rank55.61%57.69%
Renter Occupied3,828, 37.44%, see rank26.94%30.93%
Vacant Housing Units1,324, 12.95%, see rank17.45%11.38%
For Rent524, 5.13%, see rank4.13%3.14%
For Sale Only205, 2.01%, see rank2.21%1.44%
Rented or Sold, Not Occupied40, 0.39%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use166, 1.62%, see rank7.31%3.53%
For Migrant Workers2, 0.02%, see rank0.02%0.02%
Other Vacant387, 3.79%, see rank3.26%2.77%

ACS 2008-2012 data

 33563 Zip CodeFloridaU.S.
Total Housing Units9,955, see rank, 100%8,983,414131,642,457
Occupied Housing Units8,713, 87.52%, see rank79.56%87.53%
Owner Occupied4,740, 47.61%, see rank54.16%57.34%
Renter Occupied3,973, 39.91%, see rank25.40%30.19%
Vacant Housing Units1,242, 12.48%, see rank20.44%12.47%
For Rent417, 4.19%, see rank3.35%2.50%
For Sale Only152, 1.53%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use229, 2.30%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant444, 4.46%, 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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