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34637 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 34637 Zip CodeFloridaU.S.
Total Housing Units2,489, see rank, 100%9,051,851132,741,033
Occupied Housing Units2,166, 87.02%, see rank79.74%87.55%
Owner Occupied1,794, 72.08%, see rank52.73%56.34%
Renter Occupied372, 14.95%, see rank27.01%31.21%
Vacant Housing Units323, 12.98%, see rank20.26%12.45%
For Rent0, 0.00%, see rank2.97%2.34%
For Sale Only0, 0.00%, see rank1.66%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.21%0.92%
For Seasonal, Recreational, or Occasional Use281, 11.29%, see rank9.84%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant42, 1.69%, see rank4.54%4.00%

US Census 2010 data

 34637 Zip CodeFloridaU.S.
Total Housing Units2,414, see rank, 100%8,989,580131,704,730
Occupied Housing Units1,995, 82.64%, see rank82.55%88.62%
Owner Occupied1,759, 72.87%, see rank55.61%57.69%
Renter Occupied236, 9.78%, see rank26.94%30.93%
Vacant Housing Units419, 17.36%, see rank17.45%11.38%
For Rent101, 4.18%, see rank4.13%3.14%
For Sale Only88, 3.65%, see rank2.21%1.44%
Rented or Sold, Not Occupied12, 0.50%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use157, 6.50%, see rank7.31%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant61, 2.53%, see rank3.26%2.77%

ACS 2008-2012 data

 34637 Zip CodeFloridaU.S.
Total Housing Units2,516, see rank, 100%8,983,414131,642,457
Occupied Housing Units2,183, 86.76%, see rank79.56%87.53%
Owner Occupied1,889, 75.08%, see rank54.16%57.34%
Renter Occupied294, 11.69%, see rank25.40%30.19%
Vacant Housing Units333, 13.24%, see rank20.44%12.47%
For Rent0, 0.00%, see rank3.35%2.50%
For Sale Only0, 0.00%, see rank2.07%1.38%
Rented or Sold, Not Occupied27, 1.07%, see rank1.20%0.91%
For Seasonal, Recreational, or Occasional Use242, 9.62%, see rank9.43%3.81%
For Migrant Workers0, 0.00%, see rank0.06%0.03%
Other Vacant64, 2.54%, 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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