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30028 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 30028 Zip CodeGeorgiaU.S.
Total Housing Units7,772, see rank, 100%4,114,496132,741,033
Occupied Housing Units6,767, 87.07%, see rank86.05%87.55%
Owner Occupied5,865, 75.46%, see rank55.22%56.34%
Renter Occupied902, 11.61%, see rank30.83%31.21%
Vacant Housing Units1,005, 12.93%, see rank13.95%12.45%
For Rent85, 1.09%, see rank3.35%2.34%
For Sale Only560, 7.21%, see rank1.73%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant360, 4.63%, see rank5.37%4.00%

US Census 2010 data

 30028 Zip CodeGeorgiaU.S.
Total Housing Units7,921, see rank, 100%4,088,801131,704,730
Occupied Housing Units7,445, 93.99%, see rank87.69%88.62%
Owner Occupied6,491, 81.95%, see rank57.58%57.69%
Renter Occupied954, 12.04%, see rank30.11%30.93%
Vacant Housing Units476, 6.01%, see rank12.31%11.38%
For Rent77, 0.97%, see rank4.27%3.14%
For Sale Only185, 2.34%, see rank2.05%1.44%
Rented or Sold, Not Occupied27, 0.34%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use17, 0.21%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant170, 2.15%, see rank3.49%2.77%

ACS 2008-2012 data

 30028 Zip CodeGeorgiaU.S.
Total Housing Units7,329, see rank, 100%4,086,231131,642,457
Occupied Housing Units6,152, 83.94%, see rank85.86%87.53%
Owner Occupied5,524, 75.37%, see rank56.66%57.34%
Renter Occupied628, 8.57%, see rank29.20%30.19%
Vacant Housing Units1,177, 16.06%, see rank14.14%12.47%
For Rent78, 1.06%, see rank3.59%2.50%
For Sale Only652, 8.90%, see rank2.05%1.38%
Rented or Sold, Not Occupied92, 1.26%, 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 Vacant355, 4.84%, 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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