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33876 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33876 Zip CodeFloridaU.S.
Total Housing Units2,908, see rank, 100%9,051,851132,741,033
Occupied Housing Units2,057, 70.74%, see rank79.74%87.55%
Owner Occupied1,708, 58.73%, see rank52.73%56.34%
Renter Occupied349, 12.00%, see rank27.01%31.21%
Vacant Housing Units851, 29.26%, see rank20.26%12.45%
For Rent213, 7.32%, see rank2.97%2.34%
For Sale Only113, 3.89%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use415, 14.27%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant110, 3.78%, see rank4.54%4.00%

US Census 2010 data

 33876 Zip CodeFloridaU.S.
Total Housing Units2,936, see rank, 100%8,989,580131,704,730
Occupied Housing Units2,198, 74.86%, see rank82.55%88.62%
Owner Occupied1,827, 62.23%, see rank55.61%57.69%
Renter Occupied371, 12.64%, see rank26.94%30.93%
Vacant Housing Units738, 25.14%, see rank17.45%11.38%
For Rent136, 4.63%, see rank4.13%3.14%
For Sale Only90, 3.07%, see rank2.21%1.44%
Rented or Sold, Not Occupied10, 0.34%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use347, 11.82%, see rank7.31%3.53%
For Migrant Workers23, 0.78%, see rank0.02%0.02%
Other Vacant132, 4.50%, see rank3.26%2.77%

ACS 2008-2012 data

 33876 Zip CodeFloridaU.S.
Total Housing Units2,718, see rank, 100%8,983,414131,642,457
Occupied Housing Units1,940, 71.38%, see rank79.56%87.53%
Owner Occupied1,656, 60.93%, see rank54.16%57.34%
Renter Occupied284, 10.45%, see rank25.40%30.19%
Vacant Housing Units778, 28.62%, see rank20.44%12.47%
For Rent206, 7.58%, see rank3.35%2.50%
For Sale Only119, 4.38%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use321, 11.81%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant132, 4.86%, 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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