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85194 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 85194 Zip CodeArizonaU.S.
Total Housing Units3,633, see rank, 100%2,874,548132,741,033
Occupied Housing Units2,671, 73.52%, see rank83.05%87.55%
Owner Occupied2,066, 56.87%, see rank52.64%56.34%
Renter Occupied605, 16.65%, see rank30.40%31.21%
Vacant Housing Units962, 26.48%, see rank16.95%12.45%
For Rent39, 1.07%, see rank3.14%2.34%
For Sale Only112, 3.08%, see rank1.82%1.20%
Rented or Sold, Not Occupied28, 0.77%, see rank1.16%0.92%
For Seasonal, Recreational, or Occasional Use594, 16.35%, see rank7.36%3.97%
For Migrant Workers67, 1.84%, see rank0.03%0.03%
Other Vacant122, 3.36%, see rank3.44%4.00%

US Census 2010 data

 85194 Zip CodeArizonaU.S.
Total Housing Units3,673, see rank, 100%2,844,526131,704,730
Occupied Housing Units2,734, 74.44%, see rank83.70%88.62%
Owner Occupied2,291, 62.37%, see rank55.25%57.69%
Renter Occupied443, 12.06%, see rank28.45%30.93%
Vacant Housing Units939, 25.56%, see rank16.30%11.38%
For Rent50, 1.36%, see rank4.24%3.14%
For Sale Only85, 2.31%, see rank2.26%1.44%
Rented or Sold, Not Occupied34, 0.93%, see rank0.56%0.48%
For Seasonal, Recreational, or Occasional Use599, 16.31%, see rank6.48%3.53%
For Migrant Workers3, 0.08%, see rank0.02%0.02%
Other Vacant168, 4.57%, see rank2.73%2.77%

ACS 2008-2012 data

 85194 Zip CodeArizonaU.S.
Total Housing Units3,253, see rank, 100%2,841,432131,642,457
Occupied Housing Units2,469, 75.90%, see rank82.96%87.53%
Owner Occupied1,775, 54.57%, see rank54.36%57.34%
Renter Occupied694, 21.33%, see rank28.59%30.19%
Vacant Housing Units784, 24.10%, see rank17.04%12.47%
For Rent52, 1.60%, see rank3.44%2.50%
For Sale Only164, 5.04%, see rank2.10%1.38%
Rented or Sold, Not Occupied39, 1.20%, see rank1.14%0.91%
For Seasonal, Recreational, or Occasional Use473, 14.54%, see rank6.79%3.81%
For Migrant Workers44, 1.35%, see rank0.03%0.03%
Other Vacant12, 0.37%, see rank3.54%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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