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32814 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 32814 Zip CodeFloridaU.S.
Total Housing Units3,349, see rank, 100%9,051,851132,741,033
Occupied Housing Units2,832, 84.56%, see rank79.74%87.55%
Owner Occupied1,420, 42.40%, see rank52.73%56.34%
Renter Occupied1,412, 42.16%, see rank27.01%31.21%
Vacant Housing Units517, 15.44%, see rank20.26%12.45%
For Rent319, 9.53%, see rank2.97%2.34%
For Sale Only67, 2.00%, see rank1.66%1.20%
Rented or Sold, Not Occupied31, 0.93%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use26, 0.78%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant74, 2.21%, see rank4.54%4.00%

US Census 2010 data

 32814 Zip CodeFloridaU.S.
Total Housing Units3,090, see rank, 100%8,989,580131,704,730
Occupied Housing Units2,707, 87.61%, see rank82.55%88.62%
Owner Occupied1,304, 42.20%, see rank55.61%57.69%
Renter Occupied1,403, 45.40%, see rank26.94%30.93%
Vacant Housing Units383, 12.39%, see rank17.45%11.38%
For Rent218, 7.06%, see rank4.13%3.14%
For Sale Only53, 1.72%, see rank2.21%1.44%
Rented or Sold, Not Occupied18, 0.58%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use48, 1.55%, see rank7.31%3.53%
For Migrant Workers4, 0.13%, see rank0.02%0.02%
Other Vacant42, 1.36%, see rank3.26%2.77%

ACS 2008-2012 data

 32814 Zip CodeFloridaU.S.
Total Housing Units2,829, see rank, 100%8,983,414131,642,457
Occupied Housing Units2,251, 79.57%, see rank79.56%87.53%
Owner Occupied1,161, 41.04%, see rank54.16%57.34%
Renter Occupied1,090, 38.53%, see rank25.40%30.19%
Vacant Housing Units578, 20.43%, see rank20.44%12.47%
For Rent257, 9.08%, see rank3.35%2.50%
For Sale Only61, 2.16%, see rank2.07%1.38%
Rented or Sold, Not Occupied65, 2.30%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use32, 1.13%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant163, 5.76%, 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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