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39897 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 39897 Zip CodeGeorgiaU.S.
Total Housing Units1,505, see rank, 100%4,114,496132,741,033
Occupied Housing Units1,270, 84.39%, see rank86.05%87.55%
Owner Occupied873, 58.01%, see rank55.22%56.34%
Renter Occupied397, 26.38%, see rank30.83%31.21%
Vacant Housing Units235, 15.61%, see rank13.95%12.45%
For Rent15, 1.00%, see rank3.35%2.34%
For Sale Only23, 1.53%, see rank1.73%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use23, 1.53%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant174, 11.56%, see rank5.37%4.00%

US Census 2010 data

 39897 Zip CodeGeorgiaU.S.
Total Housing Units1,592, see rank, 100%4,088,801131,704,730
Occupied Housing Units1,332, 83.67%, see rank87.69%88.62%
Owner Occupied1,074, 67.46%, see rank57.58%57.69%
Renter Occupied258, 16.21%, see rank30.11%30.93%
Vacant Housing Units260, 16.33%, see rank12.31%11.38%
For Rent21, 1.32%, see rank4.27%3.14%
For Sale Only7, 0.44%, see rank2.05%1.44%
Rented or Sold, Not Occupied3, 0.19%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use50, 3.14%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant179, 11.24%, see rank3.49%2.77%

ACS 2008-2012 data

 39897 Zip CodeGeorgiaU.S.
Total Housing Units1,534, see rank, 100%4,086,231131,642,457
Occupied Housing Units1,337, 87.16%, see rank85.86%87.53%
Owner Occupied998, 65.06%, see rank56.66%57.34%
Renter Occupied339, 22.10%, see rank29.20%30.19%
Vacant Housing Units197, 12.84%, see rank14.14%12.47%
For Rent36, 2.35%, see rank3.59%2.50%
For Sale Only25, 1.63%, see rank2.05%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use6, 0.39%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant130, 8.47%, 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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