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33559 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 33559 Zip CodeFloridaU.S.
Total Housing Units7,430, see rank, 100%9,051,851132,741,033
Occupied Housing Units6,560, 88.29%, see rank79.74%87.55%
Owner Occupied4,068, 54.75%, see rank52.73%56.34%
Renter Occupied2,492, 33.54%, see rank27.01%31.21%
Vacant Housing Units870, 11.71%, see rank20.26%12.45%
For Rent397, 5.34%, see rank2.97%2.34%
For Sale Only82, 1.10%, see rank1.66%1.20%
Rented or Sold, Not Occupied129, 1.74%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use57, 0.77%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant205, 2.76%, see rank4.54%4.00%

US Census 2010 data

 33559 Zip CodeFloridaU.S.
Total Housing Units6,865, see rank, 100%8,989,580131,704,730
Occupied Housing Units6,186, 90.11%, see rank82.55%88.62%
Owner Occupied3,750, 54.62%, see rank55.61%57.69%
Renter Occupied2,436, 35.48%, see rank26.94%30.93%
Vacant Housing Units679, 9.89%, see rank17.45%11.38%
For Rent383, 5.58%, see rank4.13%3.14%
For Sale Only82, 1.19%, see rank2.21%1.44%
Rented or Sold, Not Occupied16, 0.23%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use35, 0.51%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant163, 2.37%, see rank3.26%2.77%

ACS 2008-2012 data

 33559 Zip CodeFloridaU.S.
Total Housing Units6,984, see rank, 100%8,983,414131,642,457
Occupied Housing Units6,310, 90.35%, see rank79.56%87.53%
Owner Occupied4,039, 57.83%, see rank54.16%57.34%
Renter Occupied2,271, 32.52%, see rank25.40%30.19%
Vacant Housing Units674, 9.65%, see rank20.44%12.47%
For Rent377, 5.40%, see rank3.35%2.50%
For Sale Only36, 0.52%, see rank2.07%1.38%
Rented or Sold, Not Occupied132, 1.89%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use9, 0.13%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant120, 1.72%, 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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