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34688 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 34688 Zip CodeFloridaU.S.
Total Housing Units3,878, see rank, 100%9,051,851132,741,033
Occupied Housing Units3,353, 86.46%, see rank79.74%87.55%
Owner Occupied2,912, 75.09%, see rank52.73%56.34%
Renter Occupied441, 11.37%, see rank27.01%31.21%
Vacant Housing Units525, 13.54%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only101, 2.60%, see rank1.66%1.20%
Rented or Sold, Not Occupied18, 0.46%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use247, 6.37%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant159, 4.10%, see rank4.54%4.00%

US Census 2010 data

 34688 Zip CodeFloridaU.S.
Total Housing Units3,430, see rank, 100%8,989,580131,704,730
Occupied Housing Units2,986, 87.06%, see rank82.55%88.62%
Owner Occupied2,669, 77.81%, see rank55.61%57.69%
Renter Occupied317, 9.24%, see rank26.94%30.93%
Vacant Housing Units444, 12.94%, see rank17.45%11.38%
For Rent46, 1.34%, see rank4.13%3.14%
For Sale Only91, 2.65%, see rank2.21%1.44%
Rented or Sold, Not Occupied16, 0.47%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use206, 6.01%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant85, 2.48%, see rank3.26%2.77%

ACS 2008-2012 data

 34688 Zip CodeFloridaU.S.
Total Housing Units3,775, see rank, 100%8,983,414131,642,457
Occupied Housing Units3,323, 88.03%, see rank79.56%87.53%
Owner Occupied2,865, 75.89%, see rank54.16%57.34%
Renter Occupied458, 12.13%, see rank25.40%30.19%
Vacant Housing Units452, 11.97%, see rank20.44%12.47%
For Rent0, 0.00%, see rank3.35%2.50%
For Sale Only106, 2.81%, see rank2.07%1.38%
Rented or Sold, Not Occupied34, 0.90%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use254, 6.73%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant58, 1.54%, 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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