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22556 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 22556 Zip CodeVirginiaU.S.
Total Housing Units8,901, see rank, 100%3,403,241132,741,033
Occupied Housing Units8,519, 95.71%, see rank89.38%87.55%
Owner Occupied6,746, 75.79%, see rank59.60%56.34%
Renter Occupied1,773, 19.92%, see rank29.78%31.21%
Vacant Housing Units382, 4.29%, see rank10.62%12.45%
For Rent91, 1.02%, see rank2.10%2.34%
For Sale Only163, 1.83%, see rank1.09%1.20%
Rented or Sold, Not Occupied40, 0.45%, see rank1.20%0.92%
For Seasonal, Recreational, or Occasional Use6, 0.07%, see rank2.67%3.97%
For Migrant Workers13, 0.15%, see rank0.02%0.03%
Other Vacant69, 0.78%, see rank3.55%4.00%

US Census 2010 data

 22556 Zip CodeVirginiaU.S.
Total Housing Units8,483, see rank, 100%3,364,939131,704,730
Occupied Housing Units8,100, 95.49%, see rank90.82%88.62%
Owner Occupied6,613, 77.96%, see rank61.08%57.69%
Renter Occupied1,487, 17.53%, see rank29.74%30.93%
Vacant Housing Units383, 4.51%, see rank9.18%11.38%
For Rent87, 1.03%, see rank2.45%3.14%
For Sale Only111, 1.31%, see rank1.33%1.44%
Rented or Sold, Not Occupied34, 0.40%, see rank0.45%0.48%
For Seasonal, Recreational, or Occasional Use18, 0.21%, see rank2.39%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant133, 1.57%, see rank2.54%2.77%

ACS 2008-2012 data

 22556 Zip CodeVirginiaU.S.
Total Housing Units8,512, see rank, 100%3,365,855131,642,457
Occupied Housing Units8,145, 95.69%, see rank89.32%87.53%
Owner Occupied6,645, 78.07%, see rank60.56%57.34%
Renter Occupied1,500, 17.62%, see rank28.76%30.19%
Vacant Housing Units367, 4.31%, see rank10.68%12.47%
For Rent116, 1.36%, see rank2.14%2.50%
For Sale Only158, 1.86%, see rank1.24%1.38%
Rented or Sold, Not Occupied43, 0.51%, see rank1.19%0.91%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank2.60%3.81%
For Migrant Workers22, 0.26%, see rank0.02%0.03%
Other Vacant28, 0.33%, see rank3.49%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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