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34715 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 34715 Zip CodeFloridaU.S.
Total Housing Units5,730, see rank, 100%9,051,851132,741,033
Occupied Housing Units4,776, 83.35%, see rank79.74%87.55%
Owner Occupied3,675, 64.14%, see rank52.73%56.34%
Renter Occupied1,101, 19.21%, see rank27.01%31.21%
Vacant Housing Units954, 16.65%, see rank20.26%12.45%
For Rent93, 1.62%, see rank2.97%2.34%
For Sale Only180, 3.14%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use523, 9.13%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant158, 2.76%, see rank4.54%4.00%

US Census 2010 data

 34715 Zip CodeFloridaU.S.
Total Housing Units5,799, see rank, 100%8,989,580131,704,730
Occupied Housing Units5,070, 87.43%, see rank82.55%88.62%
Owner Occupied4,123, 71.10%, see rank55.61%57.69%
Renter Occupied947, 16.33%, see rank26.94%30.93%
Vacant Housing Units729, 12.57%, see rank17.45%11.38%
For Rent98, 1.69%, see rank4.13%3.14%
For Sale Only156, 2.69%, see rank2.21%1.44%
Rented or Sold, Not Occupied24, 0.41%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use296, 5.10%, see rank7.31%3.53%
For Migrant Workers8, 0.14%, see rank0.02%0.02%
Other Vacant147, 2.53%, see rank3.26%2.77%

ACS 2008-2012 data

 34715 Zip CodeFloridaU.S.
Total Housing Units5,632, see rank, 100%8,983,414131,642,457
Occupied Housing Units4,770, 84.69%, see rank79.56%87.53%
Owner Occupied3,786, 67.22%, see rank54.16%57.34%
Renter Occupied984, 17.47%, see rank25.40%30.19%
Vacant Housing Units862, 15.31%, see rank20.44%12.47%
For Rent174, 3.09%, see rank3.35%2.50%
For Sale Only262, 4.65%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use426, 7.56%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant0, 0.00%, 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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