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39854 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 39854 Zip CodeGeorgiaU.S.
Total Housing Units2,125, see rank, 100%4,114,496132,741,033
Occupied Housing Units1,019, 47.95%, see rank86.05%87.55%
Owner Occupied791, 37.22%, see rank55.22%56.34%
Renter Occupied228, 10.73%, see rank30.83%31.21%
Vacant Housing Units1,106, 52.05%, see rank13.95%12.45%
For Rent68, 3.20%, see rank3.35%2.34%
For Sale Only79, 3.72%, see rank1.73%1.20%
Rented or Sold, Not Occupied9, 0.42%, see rank0.98%0.92%
For Seasonal, Recreational, or Occasional Use761, 35.81%, see rank2.49%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant189, 8.89%, see rank5.37%4.00%

US Census 2010 data

 39854 Zip CodeGeorgiaU.S.
Total Housing Units2,146, see rank, 100%4,088,801131,704,730
Occupied Housing Units1,092, 50.89%, see rank87.69%88.62%
Owner Occupied858, 39.98%, see rank57.58%57.69%
Renter Occupied234, 10.90%, see rank30.11%30.93%
Vacant Housing Units1,054, 49.11%, see rank12.31%11.38%
For Rent39, 1.82%, see rank4.27%3.14%
For Sale Only76, 3.54%, see rank2.05%1.44%
Rented or Sold, Not Occupied57, 2.66%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use735, 34.25%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant147, 6.85%, see rank3.49%2.77%

ACS 2008-2012 data

 39854 Zip CodeGeorgiaU.S.
Total Housing Units1,988, see rank, 100%4,086,231131,642,457
Occupied Housing Units1,001, 50.35%, see rank85.86%87.53%
Owner Occupied714, 35.92%, see rank56.66%57.34%
Renter Occupied287, 14.44%, see rank29.20%30.19%
Vacant Housing Units987, 49.65%, see rank14.14%12.47%
For Rent54, 2.72%, see rank3.59%2.50%
For Sale Only76, 3.82%, see rank2.05%1.38%
Rented or Sold, Not Occupied33, 1.66%, see rank1.02%0.91%
For Seasonal, Recreational, or Occasional Use699, 35.16%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant125, 6.29%, 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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