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30363 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 30363 Zip CodeGeorgiaU.S.
Total Housing Units2,685, see rank, 100%4,114,496132,741,033
Occupied Housing Units1,595, 59.40%, see rank86.05%87.55%
Owner Occupied569, 21.19%, see rank55.22%56.34%
Renter Occupied1,026, 38.21%, see rank30.83%31.21%
Vacant Housing Units1,090, 40.60%, see rank13.95%12.45%
For Rent293, 10.91%, see rank3.35%2.34%
For Sale Only306, 11.40%, see rank1.73%1.20%
Rented or Sold, Not Occupied34, 1.27%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use207, 7.71%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant250, 9.31%, see rank5.37%4.00%

US Census 2010 data

 30363 Zip CodeGeorgiaU.S.
Total Housing Units2,675, see rank, 100%4,088,801131,704,730
Occupied Housing Units1,792, 66.99%, see rank87.69%88.62%
Owner Occupied569, 21.27%, see rank57.58%57.69%
Renter Occupied1,223, 45.72%, see rank30.11%30.93%
Vacant Housing Units883, 33.01%, see rank12.31%11.38%
For Rent178, 6.65%, see rank4.27%3.14%
For Sale Only544, 20.34%, see rank2.05%1.44%
Rented or Sold, Not Occupied71, 2.65%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use89, 3.33%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant1, 0.04%, see rank3.49%2.77%

ACS 2008-2012 data

 30363 Zip CodeGeorgiaU.S.
Total Housing Units2,545, see rank, 100%4,086,231131,642,457
Occupied Housing Units1,354, 53.20%, see rank85.86%87.53%
Owner Occupied537, 21.10%, see rank56.66%57.34%
Renter Occupied817, 32.10%, see rank29.20%30.19%
Vacant Housing Units1,191, 46.80%, see rank14.14%12.47%
For Rent251, 9.86%, see rank3.59%2.50%
For Sale Only397, 15.60%, see rank2.05%1.38%
Rented or Sold, Not Occupied100, 3.93%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use156, 6.13%, see rank2.36%3.81%
For Migrant Workers16, 0.63%, see rank0.02%0.03%
Other Vacant271, 10.65%, see rank5.09%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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