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32502 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 32502 Zip CodeFloridaU.S.
Total Housing Units1,706, see rank, 100%9,051,851132,741,033
Occupied Housing Units1,335, 78.25%, see rank79.74%87.55%
Owner Occupied738, 43.26%, see rank52.73%56.34%
Renter Occupied597, 34.99%, see rank27.01%31.21%
Vacant Housing Units371, 21.75%, see rank20.26%12.45%
For Rent154, 9.03%, see rank2.97%2.34%
For Sale Only0, 0.00%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use66, 3.87%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant151, 8.85%, see rank4.54%4.00%

US Census 2010 data

 32502 Zip CodeFloridaU.S.
Total Housing Units2,021, see rank, 100%8,989,580131,704,730
Occupied Housing Units1,645, 81.40%, see rank82.55%88.62%
Owner Occupied888, 43.94%, see rank55.61%57.69%
Renter Occupied757, 37.46%, see rank26.94%30.93%
Vacant Housing Units376, 18.60%, see rank17.45%11.38%
For Rent171, 8.46%, see rank4.13%3.14%
For Sale Only53, 2.62%, see rank2.21%1.44%
Rented or Sold, Not Occupied32, 1.58%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use52, 2.57%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant68, 3.36%, see rank3.26%2.77%

ACS 2008-2012 data

 32502 Zip CodeFloridaU.S.
Total Housing Units1,697, see rank, 100%8,983,414131,642,457
Occupied Housing Units1,363, 80.32%, see rank79.56%87.53%
Owner Occupied793, 46.73%, see rank54.16%57.34%
Renter Occupied570, 33.59%, see rank25.40%30.19%
Vacant Housing Units334, 19.68%, see rank20.44%12.47%
For Rent134, 7.90%, see rank3.35%2.50%
For Sale Only23, 1.36%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use4, 0.24%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant173, 10.19%, 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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