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31793 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 31793 Zip CodeGeorgiaU.S.
Total Housing Units3,503, see rank, 100%4,114,496132,741,033
Occupied Housing Units2,942, 83.99%, see rank86.05%87.55%
Owner Occupied2,244, 64.06%, see rank55.22%56.34%
Renter Occupied698, 19.93%, see rank30.83%31.21%
Vacant Housing Units561, 16.01%, see rank13.95%12.45%
For Rent71, 2.03%, see rank3.35%2.34%
For Sale Only16, 0.46%, see rank1.73%1.20%
Rented or Sold, Not Occupied21, 0.60%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use69, 1.97%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant384, 10.96%, see rank5.37%4.00%

US Census 2010 data

 31793 Zip CodeGeorgiaU.S.
Total Housing Units3,321, see rank, 100%4,088,801131,704,730
Occupied Housing Units3,033, 91.33%, see rank87.69%88.62%
Owner Occupied2,276, 68.53%, see rank57.58%57.69%
Renter Occupied757, 22.79%, see rank30.11%30.93%
Vacant Housing Units288, 8.67%, see rank12.31%11.38%
For Rent101, 3.04%, see rank4.27%3.14%
For Sale Only27, 0.81%, see rank2.05%1.44%
Rented or Sold, Not Occupied8, 0.24%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use32, 0.96%, see rank1.99%3.53%
For Migrant Workers2, 0.06%, see rank0.02%0.02%
Other Vacant118, 3.55%, see rank3.49%2.77%

ACS 2008-2012 data

 31793 Zip CodeGeorgiaU.S.
Total Housing Units3,226, see rank, 100%4,086,231131,642,457
Occupied Housing Units2,641, 81.87%, see rank85.86%87.53%
Owner Occupied2,047, 63.45%, see rank56.66%57.34%
Renter Occupied594, 18.41%, see rank29.20%30.19%
Vacant Housing Units585, 18.13%, see rank14.14%12.47%
For Rent106, 3.29%, see rank3.59%2.50%
For Sale Only16, 0.50%, see rank2.05%1.38%
Rented or Sold, Not Occupied33, 1.02%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use110, 3.41%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant320, 9.92%, 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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