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85757 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 85757 Zip CodeArizonaU.S.
Total Housing Units5,847, see rank, 100%2,874,548132,741,033
Occupied Housing Units5,343, 91.38%, see rank83.05%87.55%
Owner Occupied4,164, 71.22%, see rank52.64%56.34%
Renter Occupied1,179, 20.16%, see rank30.40%31.21%
Vacant Housing Units504, 8.62%, see rank16.95%12.45%
For Rent6, 0.10%, see rank3.14%2.34%
For Sale Only110, 1.88%, see rank1.82%1.20%
Rented or Sold, Not Occupied118, 2.02%, see rank1.16%0.92%
For Seasonal, Recreational, or Occasional Use13, 0.22%, see rank7.36%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant257, 4.40%, see rank3.44%4.00%

US Census 2010 data

 85757 Zip CodeArizonaU.S.
Total Housing Units5,486, see rank, 100%2,844,526131,704,730
Occupied Housing Units4,973, 90.65%, see rank83.70%88.62%
Owner Occupied3,817, 69.58%, see rank55.25%57.69%
Renter Occupied1,156, 21.07%, see rank28.45%30.93%
Vacant Housing Units513, 9.35%, see rank16.30%11.38%
For Rent86, 1.57%, see rank4.24%3.14%
For Sale Only167, 3.04%, see rank2.26%1.44%
Rented or Sold, Not Occupied24, 0.44%, see rank0.56%0.48%
For Seasonal, Recreational, or Occasional Use30, 0.55%, see rank6.48%3.53%
For Migrant Workers1, 0.02%, see rank0.02%0.02%
Other Vacant205, 3.74%, see rank2.73%2.77%

ACS 2008-2012 data

 85757 Zip CodeArizonaU.S.
Total Housing Units5,576, see rank, 100%2,841,432131,642,457
Occupied Housing Units5,110, 91.64%, see rank82.96%87.53%
Owner Occupied4,000, 71.74%, see rank54.36%57.34%
Renter Occupied1,110, 19.91%, see rank28.59%30.19%
Vacant Housing Units466, 8.36%, see rank17.04%12.47%
For Rent38, 0.68%, see rank3.44%2.50%
For Sale Only56, 1.00%, see rank2.10%1.38%
Rented or Sold, Not Occupied96, 1.72%, see rank1.14%0.91%
For Seasonal, Recreational, or Occasional Use22, 0.39%, see rank6.79%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant254, 4.56%, 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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