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33812 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33812 Zip CodeFloridaU.S.
Total Housing Units5,085, see rank, 100%9,051,851132,741,033
Occupied Housing Units4,355, 85.64%, see rank79.74%87.55%
Owner Occupied3,613, 71.05%, see rank52.73%56.34%
Renter Occupied742, 14.59%, see rank27.01%31.21%
Vacant Housing Units730, 14.36%, see rank20.26%12.45%
For Rent49, 0.96%, see rank2.97%2.34%
For Sale Only26, 0.51%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use433, 8.52%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant222, 4.37%, see rank4.54%4.00%

US Census 2010 data

 33812 Zip CodeFloridaU.S.
Total Housing Units5,032, see rank, 100%8,989,580131,704,730
Occupied Housing Units4,517, 89.77%, see rank82.55%88.62%
Owner Occupied3,702, 73.57%, see rank55.61%57.69%
Renter Occupied815, 16.20%, see rank26.94%30.93%
Vacant Housing Units515, 10.23%, see rank17.45%11.38%
For Rent61, 1.21%, see rank4.13%3.14%
For Sale Only113, 2.25%, see rank2.21%1.44%
Rented or Sold, Not Occupied22, 0.44%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use194, 3.86%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant125, 2.48%, see rank3.26%2.77%

ACS 2008-2012 data

 33812 Zip CodeFloridaU.S.
Total Housing Units4,929, see rank, 100%8,983,414131,642,457
Occupied Housing Units4,361, 88.48%, see rank79.56%87.53%
Owner Occupied3,761, 76.30%, see rank54.16%57.34%
Renter Occupied600, 12.17%, see rank25.40%30.19%
Vacant Housing Units568, 11.52%, see rank20.44%12.47%
For Rent72, 1.46%, see rank3.35%2.50%
For Sale Only26, 0.53%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use280, 5.68%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant190, 3.85%, 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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