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33973 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33973 Zip CodeFloridaU.S.
Total Housing Units4,393, see rank, 100%9,051,851132,741,033
Occupied Housing Units3,503, 79.74%, see rank79.74%87.55%
Owner Occupied616, 14.02%, see rank52.73%56.34%
Renter Occupied2,887, 65.72%, see rank27.01%31.21%
Vacant Housing Units890, 20.26%, see rank20.26%12.45%
For Rent212, 4.83%, see rank2.97%2.34%
For Sale Only0, 0.00%, see rank1.66%1.20%
Rented or Sold, Not Occupied67, 1.53%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use384, 8.74%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant227, 5.17%, see rank4.54%4.00%

US Census 2010 data

 33973 Zip CodeFloridaU.S.
Total Housing Units4,586, see rank, 100%8,989,580131,704,730
Occupied Housing Units3,353, 73.11%, see rank82.55%88.62%
Owner Occupied831, 18.12%, see rank55.61%57.69%
Renter Occupied2,522, 54.99%, see rank26.94%30.93%
Vacant Housing Units1,233, 26.89%, see rank17.45%11.38%
For Rent450, 9.81%, see rank4.13%3.14%
For Sale Only128, 2.79%, see rank2.21%1.44%
Rented or Sold, Not Occupied27, 0.59%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use131, 2.86%, see rank7.31%3.53%
For Migrant Workers2, 0.04%, see rank0.02%0.02%
Other Vacant495, 10.79%, see rank3.26%2.77%

ACS 2008-2012 data

 33973 Zip CodeFloridaU.S.
Total Housing Units4,184, see rank, 100%8,983,414131,642,457
Occupied Housing Units3,028, 72.37%, see rank79.56%87.53%
Owner Occupied744, 17.78%, see rank54.16%57.34%
Renter Occupied2,284, 54.59%, see rank25.40%30.19%
Vacant Housing Units1,156, 27.63%, see rank20.44%12.47%
For Rent174, 4.16%, see rank3.35%2.50%
For Sale Only0, 0.00%, see rank2.07%1.38%
Rented or Sold, Not Occupied197, 4.71%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use401, 9.58%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant384, 9.18%, 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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