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31719 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 31719 Zip CodeGeorgiaU.S.
Total Housing Units3,980, see rank, 100%4,114,496132,741,033
Occupied Housing Units3,413, 85.75%, see rank86.05%87.55%
Owner Occupied2,174, 54.62%, see rank55.22%56.34%
Renter Occupied1,239, 31.13%, see rank30.83%31.21%
Vacant Housing Units567, 14.25%, see rank13.95%12.45%
For Rent176, 4.42%, see rank3.35%2.34%
For Sale Only24, 0.60%, see rank1.73%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use165, 4.15%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant202, 5.08%, see rank5.37%4.00%

US Census 2010 data

 31719 Zip CodeGeorgiaU.S.
Total Housing Units4,137, see rank, 100%4,088,801131,704,730
Occupied Housing Units3,734, 90.26%, see rank87.69%88.62%
Owner Occupied2,158, 52.16%, see rank57.58%57.69%
Renter Occupied1,576, 38.10%, see rank30.11%30.93%
Vacant Housing Units403, 9.74%, see rank12.31%11.38%
For Rent155, 3.75%, see rank4.27%3.14%
For Sale Only58, 1.40%, see rank2.05%1.44%
Rented or Sold, Not Occupied40, 0.97%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use35, 0.85%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant115, 2.78%, see rank3.49%2.77%

ACS 2008-2012 data

 31719 Zip CodeGeorgiaU.S.
Total Housing Units3,950, see rank, 100%4,086,231131,642,457
Occupied Housing Units3,504, 88.71%, see rank85.86%87.53%
Owner Occupied2,199, 55.67%, see rank56.66%57.34%
Renter Occupied1,305, 33.04%, see rank29.20%30.19%
Vacant Housing Units446, 11.29%, see rank14.14%12.47%
For Rent169, 4.28%, see rank3.59%2.50%
For Sale Only24, 0.61%, see rank2.05%1.38%
Rented or Sold, Not Occupied33, 0.84%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant220, 5.57%, 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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