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39817 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 39817 Zip CodeGeorgiaU.S.
Total Housing Units4,232, see rank, 100%4,114,496132,741,033
Occupied Housing Units3,780, 89.32%, see rank86.05%87.55%
Owner Occupied2,404, 56.81%, see rank55.22%56.34%
Renter Occupied1,376, 32.51%, see rank30.83%31.21%
Vacant Housing Units452, 10.68%, see rank13.95%12.45%
For Rent97, 2.29%, see rank3.35%2.34%
For Sale Only82, 1.94%, see rank1.73%1.20%
Rented or Sold, Not Occupied33, 0.78%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use109, 2.58%, see rank2.49%3.97%
For Migrant Workers29, 0.69%, see rank0.02%0.03%
Other Vacant102, 2.41%, see rank5.37%4.00%

US Census 2010 data

 39817 Zip CodeGeorgiaU.S.
Total Housing Units4,370, see rank, 100%4,088,801131,704,730
Occupied Housing Units3,776, 86.41%, see rank87.69%88.62%
Owner Occupied2,350, 53.78%, see rank57.58%57.69%
Renter Occupied1,426, 32.63%, see rank30.11%30.93%
Vacant Housing Units594, 13.59%, see rank12.31%11.38%
For Rent201, 4.60%, see rank4.27%3.14%
For Sale Only51, 1.17%, see rank2.05%1.44%
Rented or Sold, Not Occupied26, 0.59%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use80, 1.83%, see rank1.99%3.53%
For Migrant Workers26, 0.59%, see rank0.02%0.02%
Other Vacant210, 4.81%, see rank3.49%2.77%

ACS 2008-2012 data

 39817 Zip CodeGeorgiaU.S.
Total Housing Units4,683, see rank, 100%4,086,231131,642,457
Occupied Housing Units4,078, 87.08%, see rank85.86%87.53%
Owner Occupied2,536, 54.15%, see rank56.66%57.34%
Renter Occupied1,542, 32.93%, see rank29.20%30.19%
Vacant Housing Units605, 12.92%, see rank14.14%12.47%
For Rent135, 2.88%, see rank3.59%2.50%
For Sale Only32, 0.68%, see rank2.05%1.38%
Rented or Sold, Not Occupied18, 0.38%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use188, 4.01%, see rank2.36%3.81%
For Migrant Workers40, 0.85%, see rank0.02%0.03%
Other Vacant192, 4.10%, 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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