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89060 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 89060 Zip CodeNevadaU.S.
Total Housing Units4,820, see rank, 100%1,185,232132,741,033
Occupied Housing Units4,076, 84.56%, see rank84.87%87.55%
Owner Occupied2,932, 60.83%, see rank47.24%56.34%
Renter Occupied1,144, 23.73%, see rank37.63%31.21%
Vacant Housing Units744, 15.44%, see rank15.13%12.45%
For Rent0, 0.00%, see rank4.31%2.34%
For Sale Only76, 1.58%, see rank1.41%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use358, 7.43%, see rank4.18%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant310, 6.43%, see rank4.25%4.00%

US Census 2010 data

 89060 Zip CodeNevadaU.S.
Total Housing Units4,988, see rank, 100%1,173,814131,704,730
Occupied Housing Units4,144, 83.08%, see rank85.72%88.62%
Owner Occupied3,134, 62.83%, see rank50.39%57.69%
Renter Occupied1,010, 20.25%, see rank35.34%30.93%
Vacant Housing Units844, 16.92%, see rank14.28%11.38%
For Rent126, 2.53%, see rank5.28%3.14%
For Sale Only134, 2.69%, see rank2.81%1.44%
Rented or Sold, Not Occupied57, 1.14%, see rank0.45%0.48%
For Seasonal, Recreational, or Occasional Use152, 3.05%, see rank2.79%3.53%
For Migrant Workers3, 0.06%, see rank0.02%0.02%
Other Vacant372, 7.46%, see rank2.93%2.77%

ACS 2008-2012 data

 89060 Zip CodeNevadaU.S.
Total Housing Units5,211, see rank, 100%1,171,300131,642,457
Occupied Housing Units4,577, 87.83%, see rank84.77%87.53%
Owner Occupied3,204, 61.49%, see rank49.03%57.34%
Renter Occupied1,373, 26.35%, see rank35.74%30.19%
Vacant Housing Units634, 12.17%, see rank15.23%12.47%
For Rent11, 0.21%, see rank4.55%2.50%
For Sale Only215, 4.13%, see rank2.11%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.06%0.91%
For Seasonal, Recreational, or Occasional Use187, 3.59%, see rank3.61%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant221, 4.24%, 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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