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Pannill Fork, VA Historical House Occupancy Status Data

 

US Census 2010 data

 Pannill Fork, VAVirginiaU.S.
Total Housing Units1,860, see rank, 100%3,364,939131,704,730
Occupied Housing Units1,566, 84.19%, see rank90.82%88.62%
Owner Occupied453, 24.35%, see rank61.08%57.69%
Renter Occupied1,113, 59.84%, see rank29.74%30.93%
Vacant Housing Units294, 15.81%, see rank9.18%11.38%
For Rent212, 11.40%, see rank2.45%3.14%
For Sale Only16, 0.86%, see rank1.33%1.44%
Rented or Sold, Not Occupied32, 1.72%, see rank0.45%0.48%
For Seasonal, Recreational, or Occasional Use18, 0.97%, see rank2.39%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant16, 0.86%, see rank2.54%2.77%

ACS 2008-2012 data

 Pannill Fork, VAVirginiaU.S.
Total Housing Units1,654, see rank, 100%3,365,855131,642,457
Occupied Housing Units1,455, 87.97%, see rank89.32%87.53%
Owner Occupied456, 27.57%, see rank60.56%57.34%
Renter Occupied999, 60.40%, see rank28.76%30.19%
Vacant Housing Units199, 12.03%, see rank10.68%12.47%
For Rent93, 5.62%, see rank2.14%2.50%
For Sale Only28, 1.69%, see rank1.24%1.38%
Rented or Sold, Not Occupied21, 1.27%, see rank1.19%0.91%
For Seasonal, Recreational, or Occasional Use15, 0.91%, see rank2.60%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant42, 2.54%, see rank3.49%3.84%

ACS 2006-2010 data

 Pannill Fork, VAVirginiaU.S.
Total Housing Units1,452, see rank, 100%3,315,739130,038,080
Occupied Housing Units1,278, 88.02%, see rank89.71%87.85%
Owner Occupied385, 26.52%, see rank61.77%58.51%
Renter Occupied893, 61.50%, see rank27.94%29.33%
Vacant Housing Units174, 11.98%, see rank10.29%12.15%
For Rent86, 5.92%, see rank2.09%2.53%
For Sale Only31, 2.13%, see rank1.26%1.45%
Rented or Sold, Not Occupied14, 0.96%, see rank1.25%0.95%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank2.40%3.60%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant43, 2.96%, see rank3.26%3.59%

* 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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