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27574 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 27574 Zip CodeNorth CarolinaU.S.
Total Housing Units6,491, see rank, 100%4,385,668132,741,033
Occupied Housing Units5,673, 87.40%, see rank85.34%87.55%
Owner Occupied4,512, 69.51%, see rank56.13%56.34%
Renter Occupied1,161, 17.89%, see rank29.20%31.21%
Vacant Housing Units818, 12.60%, see rank14.66%12.45%
For Rent5, 0.08%, see rank2.65%2.34%
For Sale Only68, 1.05%, see rank1.41%1.20%
Rented or Sold, Not Occupied57, 0.88%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use239, 3.68%, see rank4.81%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant449, 6.92%, see rank4.98%4.00%

US Census 2010 data

 27574 Zip CodeNorth CarolinaU.S.
Total Housing Units6,374, see rank, 100%4,327,528131,704,730
Occupied Housing Units5,682, 89.14%, see rank86.54%88.62%
Owner Occupied4,503, 70.65%, see rank57.72%57.69%
Renter Occupied1,179, 18.50%, see rank28.82%30.93%
Vacant Housing Units692, 10.86%, see rank13.46%11.38%
For Rent100, 1.57%, see rank3.62%3.14%
For Sale Only76, 1.19%, see rank1.66%1.44%
Rented or Sold, Not Occupied24, 0.38%, see rank0.49%0.48%
For Seasonal, Recreational, or Occasional Use194, 3.04%, see rank4.43%3.53%
For Migrant Workers11, 0.17%, see rank0.04%0.02%
Other Vacant287, 4.50%, see rank3.23%2.77%

ACS 2008-2012 data

 27574 Zip CodeNorth CarolinaU.S.
Total Housing Units6,718, see rank, 100%4,325,088131,642,457
Occupied Housing Units5,784, 86.10%, see rank85.39%87.53%
Owner Occupied4,611, 68.64%, see rank57.28%57.34%
Renter Occupied1,173, 17.46%, see rank28.11%30.19%
Vacant Housing Units934, 13.90%, see rank14.61%12.47%
For Rent19, 0.28%, see rank2.88%2.50%
For Sale Only110, 1.64%, see rank1.52%1.38%
Rented or Sold, Not Occupied73, 1.09%, see rank0.76%0.91%
For Seasonal, Recreational, or Occasional Use184, 2.74%, see rank4.58%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant548, 8.16%, 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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