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32352 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 32352 Zip CodeFloridaU.S.
Total Housing Units2,466, see rank, 100%9,051,851132,741,033
Occupied Housing Units2,124, 86.13%, see rank79.74%87.55%
Owner Occupied1,660, 67.32%, see rank52.73%56.34%
Renter Occupied464, 18.82%, see rank27.01%31.21%
Vacant Housing Units342, 13.87%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only37, 1.50%, see rank1.66%1.20%
Rented or Sold, Not Occupied63, 2.55%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank9.84%3.97%
For Migrant Workers11, 0.45%, see rank0.04%0.03%
Other Vacant231, 9.37%, see rank4.54%4.00%

US Census 2010 data

 32352 Zip CodeFloridaU.S.
Total Housing Units2,706, see rank, 100%8,989,580131,704,730
Occupied Housing Units2,373, 87.69%, see rank82.55%88.62%
Owner Occupied1,910, 70.58%, see rank55.61%57.69%
Renter Occupied463, 17.11%, see rank26.94%30.93%
Vacant Housing Units333, 12.31%, see rank17.45%11.38%
For Rent46, 1.70%, see rank4.13%3.14%
For Sale Only27, 1.00%, see rank2.21%1.44%
Rented or Sold, Not Occupied25, 0.92%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use49, 1.81%, see rank7.31%3.53%
For Migrant Workers4, 0.15%, see rank0.02%0.02%
Other Vacant182, 6.73%, see rank3.26%2.77%

ACS 2008-2012 data

 32352 Zip CodeFloridaU.S.
Total Housing Units2,599, see rank, 100%8,983,414131,642,457
Occupied Housing Units2,252, 86.65%, see rank79.56%87.53%
Owner Occupied1,661, 63.91%, see rank54.16%57.34%
Renter Occupied591, 22.74%, see rank25.40%30.19%
Vacant Housing Units347, 13.35%, see rank20.44%12.47%
For Rent0, 0.00%, see rank3.35%2.50%
For Sale Only31, 1.19%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use19, 0.73%, see rank9.43%3.81%
For Migrant Workers57, 2.19%, see rank0.06%0.03%
Other Vacant240, 9.23%, 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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