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33966 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33966 Zip CodeFloridaU.S.
Total Housing Units5,401, see rank, 100%9,051,851132,741,033
Occupied Housing Units3,418, 63.28%, see rank79.74%87.55%
Owner Occupied2,347, 43.45%, see rank52.73%56.34%
Renter Occupied1,071, 19.83%, see rank27.01%31.21%
Vacant Housing Units1,983, 36.72%, see rank20.26%12.45%
For Rent125, 2.31%, see rank2.97%2.34%
For Sale Only160, 2.96%, see rank1.66%1.20%
Rented or Sold, Not Occupied54, 1.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use1,516, 28.07%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant128, 2.37%, see rank4.54%4.00%

US Census 2010 data

 33966 Zip CodeFloridaU.S.
Total Housing Units5,229, see rank, 100%8,989,580131,704,730
Occupied Housing Units3,573, 68.33%, see rank82.55%88.62%
Owner Occupied2,527, 48.33%, see rank55.61%57.69%
Renter Occupied1,046, 20.00%, see rank26.94%30.93%
Vacant Housing Units1,656, 31.67%, see rank17.45%11.38%
For Rent199, 3.81%, see rank4.13%3.14%
For Sale Only134, 2.56%, see rank2.21%1.44%
Rented or Sold, Not Occupied22, 0.42%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use1,123, 21.48%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant178, 3.40%, see rank3.26%2.77%

ACS 2008-2012 data

 33966 Zip CodeFloridaU.S.
Total Housing Units5,546, see rank, 100%8,983,414131,642,457
Occupied Housing Units3,512, 63.32%, see rank79.56%87.53%
Owner Occupied2,400, 43.27%, see rank54.16%57.34%
Renter Occupied1,112, 20.05%, see rank25.40%30.19%
Vacant Housing Units2,034, 36.68%, see rank20.44%12.47%
For Rent189, 3.41%, see rank3.35%2.50%
For Sale Only169, 3.05%, see rank2.07%1.38%
Rented or Sold, Not Occupied38, 0.69%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use1,461, 26.34%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant177, 3.19%, 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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