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27518 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 27518 Zip CodeNorth CarolinaU.S.
Total Housing Units8,644, see rank, 100%4,385,668132,741,033
Occupied Housing Units8,273, 95.71%, see rank85.34%87.55%
Owner Occupied5,522, 63.88%, see rank56.13%56.34%
Renter Occupied2,751, 31.83%, see rank29.20%31.21%
Vacant Housing Units371, 4.29%, see rank14.66%12.45%
For Rent133, 1.54%, see rank2.65%2.34%
For Sale Only49, 0.57%, see rank1.41%1.20%
Rented or Sold, Not Occupied21, 0.24%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use65, 0.75%, see rank4.81%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant103, 1.19%, see rank4.98%4.00%

US Census 2010 data

 27518 Zip CodeNorth CarolinaU.S.
Total Housing Units8,315, see rank, 100%4,327,528131,704,730
Occupied Housing Units7,705, 92.66%, see rank86.54%88.62%
Owner Occupied5,207, 62.62%, see rank57.72%57.69%
Renter Occupied2,498, 30.04%, see rank28.82%30.93%
Vacant Housing Units610, 7.34%, see rank13.46%11.38%
For Rent280, 3.37%, see rank3.62%3.14%
For Sale Only113, 1.36%, see rank1.66%1.44%
Rented or Sold, Not Occupied58, 0.70%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use128, 1.54%, see rank4.43%3.53%
For Migrant Workers0, 0.00%, see rank0.04%0.02%
Other Vacant31, 0.37%, see rank3.23%2.77%

ACS 2008-2012 data

 27518 Zip CodeNorth CarolinaU.S.
Total Housing Units8,261, see rank, 100%4,325,088131,642,457
Occupied Housing Units7,659, 92.71%, see rank85.39%87.53%
Owner Occupied5,469, 66.20%, see rank57.28%57.34%
Renter Occupied2,190, 26.51%, see rank28.11%30.19%
Vacant Housing Units602, 7.29%, see rank14.61%12.47%
For Rent252, 3.05%, see rank2.88%2.50%
For Sale Only119, 1.44%, see rank1.52%1.38%
Rented or Sold, Not Occupied93, 1.13%, see rank0.76%0.91%
For Seasonal, Recreational, or Occasional Use78, 0.94%, see rank4.58%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant60, 0.73%, see rank4.83%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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