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33967 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33967 Zip CodeFloridaU.S.
Total Housing Units9,772, see rank, 100%9,051,851132,741,033
Occupied Housing Units7,657, 78.36%, see rank79.74%87.55%
Owner Occupied5,487, 56.15%, see rank52.73%56.34%
Renter Occupied2,170, 22.21%, see rank27.01%31.21%
Vacant Housing Units2,115, 21.64%, see rank20.26%12.45%
For Rent260, 2.66%, see rank2.97%2.34%
For Sale Only182, 1.86%, see rank1.66%1.20%
Rented or Sold, Not Occupied139, 1.42%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use965, 9.88%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant569, 5.82%, see rank4.54%4.00%

US Census 2010 data

 33967 Zip CodeFloridaU.S.
Total Housing Units9,923, see rank, 100%8,989,580131,704,730
Occupied Housing Units8,403, 84.68%, see rank82.55%88.62%
Owner Occupied6,071, 61.18%, see rank55.61%57.69%
Renter Occupied2,332, 23.50%, see rank26.94%30.93%
Vacant Housing Units1,520, 15.32%, see rank17.45%11.38%
For Rent275, 2.77%, see rank4.13%3.14%
For Sale Only247, 2.49%, see rank2.21%1.44%
Rented or Sold, Not Occupied68, 0.69%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use491, 4.95%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant439, 4.42%, see rank3.26%2.77%

ACS 2008-2012 data

 33967 Zip CodeFloridaU.S.
Total Housing Units9,972, see rank, 100%8,983,414131,642,457
Occupied Housing Units7,720, 77.42%, see rank79.56%87.53%
Owner Occupied5,598, 56.14%, see rank54.16%57.34%
Renter Occupied2,122, 21.28%, see rank25.40%30.19%
Vacant Housing Units2,252, 22.58%, see rank20.44%12.47%
For Rent185, 1.86%, see rank3.35%2.50%
For Sale Only213, 2.14%, see rank2.07%1.38%
Rented or Sold, Not Occupied81, 0.81%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use805, 8.07%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant968, 9.71%, 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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