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39828 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 39828 Zip CodeGeorgiaU.S.
Total Housing Units6,496, see rank, 100%4,114,496132,741,033
Occupied Housing Units5,667, 87.24%, see rank86.05%87.55%
Owner Occupied3,042, 46.83%, see rank55.22%56.34%
Renter Occupied2,625, 40.41%, see rank30.83%31.21%
Vacant Housing Units829, 12.76%, see rank13.95%12.45%
For Rent46, 0.71%, see rank3.35%2.34%
For Sale Only127, 1.96%, see rank1.73%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use209, 3.22%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant447, 6.88%, see rank5.37%4.00%

US Census 2010 data

 39828 Zip CodeGeorgiaU.S.
Total Housing Units6,459, see rank, 100%4,088,801131,704,730
Occupied Housing Units5,693, 88.14%, see rank87.69%88.62%
Owner Occupied3,492, 54.06%, see rank57.58%57.69%
Renter Occupied2,201, 34.08%, see rank30.11%30.93%
Vacant Housing Units766, 11.86%, see rank12.31%11.38%
For Rent158, 2.45%, see rank4.27%3.14%
For Sale Only87, 1.35%, see rank2.05%1.44%
Rented or Sold, Not Occupied20, 0.31%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use94, 1.46%, see rank1.99%3.53%
For Migrant Workers2, 0.03%, see rank0.02%0.02%
Other Vacant405, 6.27%, see rank3.49%2.77%

ACS 2008-2012 data

 39828 Zip CodeGeorgiaU.S.
Total Housing Units6,357, see rank, 100%4,086,231131,642,457
Occupied Housing Units5,677, 89.30%, see rank85.86%87.53%
Owner Occupied3,229, 50.79%, see rank56.66%57.34%
Renter Occupied2,448, 38.51%, see rank29.20%30.19%
Vacant Housing Units680, 10.70%, see rank14.14%12.47%
For Rent12, 0.19%, see rank3.59%2.50%
For Sale Only80, 1.26%, see rank2.05%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use213, 3.35%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant375, 5.90%, 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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