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89061 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 89061 Zip CodeNevadaU.S.
Total Housing Units2,493, see rank, 100%1,185,232132,741,033
Occupied Housing Units2,123, 85.16%, see rank84.87%87.55%
Owner Occupied1,702, 68.27%, see rank47.24%56.34%
Renter Occupied421, 16.89%, see rank37.63%31.21%
Vacant Housing Units370, 14.84%, see rank15.13%12.45%
For Rent0, 0.00%, see rank4.31%2.34%
For Sale Only67, 2.69%, see rank1.41%1.20%
Rented or Sold, Not Occupied101, 4.05%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use63, 2.53%, see rank4.18%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant139, 5.58%, see rank4.25%4.00%

US Census 2010 data

 89061 Zip CodeNevadaU.S.
Total Housing Units2,567, see rank, 100%1,173,814131,704,730
Occupied Housing Units2,109, 82.16%, see rank85.72%88.62%
Owner Occupied1,686, 65.68%, see rank50.39%57.69%
Renter Occupied423, 16.48%, see rank35.34%30.93%
Vacant Housing Units458, 17.84%, see rank14.28%11.38%
For Rent55, 2.14%, see rank5.28%3.14%
For Sale Only87, 3.39%, see rank2.81%1.44%
Rented or Sold, Not Occupied29, 1.13%, see rank0.45%0.48%
For Seasonal, Recreational, or Occasional Use81, 3.16%, see rank2.79%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant206, 8.02%, see rank2.93%2.77%

ACS 2008-2012 data

 89061 Zip CodeNevadaU.S.
Total Housing Units2,183, see rank, 100%1,171,300131,642,457
Occupied Housing Units1,782, 81.63%, see rank84.77%87.53%
Owner Occupied1,314, 60.19%, see rank49.03%57.34%
Renter Occupied468, 21.44%, see rank35.74%30.19%
Vacant Housing Units401, 18.37%, see rank15.23%12.47%
For Rent0, 0.00%, see rank4.55%2.50%
For Sale Only115, 5.27%, see rank2.11%1.38%
Rented or Sold, Not Occupied97, 4.44%, see rank1.06%0.91%
For Seasonal, Recreational, or Occasional Use52, 2.38%, see rank3.61%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant137, 6.28%, see rank3.88%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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