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34269 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 34269 Zip CodeFloridaU.S.
Total Housing Units2,763, see rank, 100%9,051,851132,741,033
Occupied Housing Units1,762, 63.77%, see rank79.74%87.55%
Owner Occupied1,581, 57.22%, see rank52.73%56.34%
Renter Occupied181, 6.55%, see rank27.01%31.21%
Vacant Housing Units1,001, 36.23%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only110, 3.98%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use891, 32.25%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant0, 0.00%, see rank4.54%4.00%

US Census 2010 data

 34269 Zip CodeFloridaU.S.
Total Housing Units2,746, see rank, 100%8,989,580131,704,730
Occupied Housing Units1,790, 65.19%, see rank82.55%88.62%
Owner Occupied1,577, 57.43%, see rank55.61%57.69%
Renter Occupied213, 7.76%, see rank26.94%30.93%
Vacant Housing Units956, 34.81%, see rank17.45%11.38%
For Rent56, 2.04%, see rank4.13%3.14%
For Sale Only42, 1.53%, see rank2.21%1.44%
Rented or Sold, Not Occupied11, 0.40%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use780, 28.40%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant67, 2.44%, see rank3.26%2.77%

ACS 2008-2012 data

 34269 Zip CodeFloridaU.S.
Total Housing Units2,654, see rank, 100%8,983,414131,642,457
Occupied Housing Units1,651, 62.21%, see rank79.56%87.53%
Owner Occupied1,356, 51.09%, see rank54.16%57.34%
Renter Occupied295, 11.12%, see rank25.40%30.19%
Vacant Housing Units1,003, 37.79%, see rank20.44%12.47%
For Rent0, 0.00%, see rank3.35%2.50%
For Sale Only87, 3.28%, see rank2.07%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use829, 31.24%, see rank9.43%3.81%
For Migrant Workers40, 1.51%, see rank0.06%0.03%
Other Vacant47, 1.77%, 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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