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85387 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 85387 Zip CodeArizonaU.S.
Total Housing Units5,263, see rank, 100%2,874,548132,741,033
Occupied Housing Units4,515, 85.79%, see rank83.05%87.55%
Owner Occupied3,990, 75.81%, see rank52.64%56.34%
Renter Occupied525, 9.98%, see rank30.40%31.21%
Vacant Housing Units748, 14.21%, see rank16.95%12.45%
For Rent31, 0.59%, see rank3.14%2.34%
For Sale Only124, 2.36%, see rank1.82%1.20%
Rented or Sold, Not Occupied12, 0.23%, see rank1.16%0.92%
For Seasonal, Recreational, or Occasional Use561, 10.66%, see rank7.36%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant20, 0.38%, see rank3.44%4.00%

US Census 2010 data

 85387 Zip CodeArizonaU.S.
Total Housing Units5,060, see rank, 100%2,844,526131,704,730
Occupied Housing Units4,142, 81.86%, see rank83.70%88.62%
Owner Occupied3,860, 76.28%, see rank55.25%57.69%
Renter Occupied282, 5.57%, see rank28.45%30.93%
Vacant Housing Units918, 18.14%, see rank16.30%11.38%
For Rent76, 1.50%, see rank4.24%3.14%
For Sale Only132, 2.61%, see rank2.26%1.44%
Rented or Sold, Not Occupied28, 0.55%, see rank0.56%0.48%
For Seasonal, Recreational, or Occasional Use586, 11.58%, see rank6.48%3.53%
For Migrant Workers1, 0.02%, see rank0.02%0.02%
Other Vacant95, 1.88%, see rank2.73%2.77%

ACS 2008-2012 data

 85387 Zip CodeArizonaU.S.
Total Housing Units5,043, see rank, 100%2,841,432131,642,457
Occupied Housing Units4,243, 84.14%, see rank82.96%87.53%
Owner Occupied3,912, 77.57%, see rank54.36%57.34%
Renter Occupied331, 6.56%, see rank28.59%30.19%
Vacant Housing Units800, 15.86%, see rank17.04%12.47%
For Rent56, 1.11%, see rank3.44%2.50%
For Sale Only221, 4.38%, see rank2.10%1.38%
Rented or Sold, Not Occupied57, 1.13%, see rank1.14%0.91%
For Seasonal, Recreational, or Occasional Use393, 7.79%, see rank6.79%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant73, 1.45%, 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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