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32128 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 32128 Zip CodeFloridaU.S.
Total Housing Units8,209, see rank, 100%9,051,851132,741,033
Occupied Housing Units6,947, 84.63%, see rank79.74%87.55%
Owner Occupied6,154, 74.97%, see rank52.73%56.34%
Renter Occupied793, 9.66%, see rank27.01%31.21%
Vacant Housing Units1,262, 15.37%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only105, 1.28%, see rank1.66%1.20%
Rented or Sold, Not Occupied133, 1.62%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use739, 9.00%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant285, 3.47%, see rank4.54%4.00%

US Census 2010 data

 32128 Zip CodeFloridaU.S.
Total Housing Units8,051, see rank, 100%8,989,580131,704,730
Occupied Housing Units7,167, 89.02%, see rank82.55%88.62%
Owner Occupied6,289, 78.11%, see rank55.61%57.69%
Renter Occupied878, 10.91%, see rank26.94%30.93%
Vacant Housing Units884, 10.98%, see rank17.45%11.38%
For Rent87, 1.08%, see rank4.13%3.14%
For Sale Only153, 1.90%, see rank2.21%1.44%
Rented or Sold, Not Occupied40, 0.50%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use476, 5.91%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant128, 1.59%, see rank3.26%2.77%

ACS 2008-2012 data

 32128 Zip CodeFloridaU.S.
Total Housing Units7,902, see rank, 100%8,983,414131,642,457
Occupied Housing Units6,708, 84.89%, see rank79.56%87.53%
Owner Occupied6,060, 76.69%, see rank54.16%57.34%
Renter Occupied648, 8.20%, see rank25.40%30.19%
Vacant Housing Units1,194, 15.11%, see rank20.44%12.47%
For Rent0, 0.00%, see rank3.35%2.50%
For Sale Only38, 0.48%, see rank2.07%1.38%
Rented or Sold, Not Occupied182, 2.30%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use696, 8.81%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant278, 3.52%, 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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