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39851 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 39851 Zip CodeGeorgiaU.S.
Total Housing Units1,383, see rank, 100%4,114,496132,741,033
Occupied Housing Units843, 60.95%, see rank86.05%87.55%
Owner Occupied425, 30.73%, see rank55.22%56.34%
Renter Occupied418, 30.22%, see rank30.83%31.21%
Vacant Housing Units540, 39.05%, see rank13.95%12.45%
For Rent14, 1.01%, see rank3.35%2.34%
For Sale Only19, 1.37%, see rank1.73%1.20%
Rented or Sold, Not Occupied35, 2.53%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use392, 28.34%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant80, 5.78%, see rank5.37%4.00%

US Census 2010 data

 39851 Zip CodeGeorgiaU.S.
Total Housing Units1,611, see rank, 100%4,088,801131,704,730
Occupied Housing Units999, 62.01%, see rank87.69%88.62%
Owner Occupied699, 43.39%, see rank57.58%57.69%
Renter Occupied300, 18.62%, see rank30.11%30.93%
Vacant Housing Units612, 37.99%, see rank12.31%11.38%
For Rent50, 3.10%, see rank4.27%3.14%
For Sale Only23, 1.43%, see rank2.05%1.44%
Rented or Sold, Not Occupied11, 0.68%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use403, 25.02%, see rank1.99%3.53%
For Migrant Workers1, 0.06%, see rank0.02%0.02%
Other Vacant124, 7.70%, see rank3.49%2.77%

ACS 2008-2012 data

 39851 Zip CodeGeorgiaU.S.
Total Housing Units1,497, see rank, 100%4,086,231131,642,457
Occupied Housing Units936, 62.53%, see rank85.86%87.53%
Owner Occupied581, 38.81%, see rank56.66%57.34%
Renter Occupied355, 23.71%, see rank29.20%30.19%
Vacant Housing Units561, 37.47%, see rank14.14%12.47%
For Rent45, 3.01%, see rank3.59%2.50%
For Sale Only59, 3.94%, see rank2.05%1.38%
Rented or Sold, Not Occupied45, 3.01%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use383, 25.58%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant29, 1.94%, 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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