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48085 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 48085 Zip CodeMichiganU.S.
Total Housing Units8,639, see rank, 100%4,532,719132,741,033
Occupied Housing Units8,275, 95.79%, see rank84.45%87.55%
Owner Occupied7,551, 87.41%, see rank60.41%56.34%
Renter Occupied724, 8.38%, see rank24.04%31.21%
Vacant Housing Units364, 4.21%, see rank15.55%12.45%
For Rent19, 0.22%, see rank1.84%2.34%
For Sale Only139, 1.61%, see rank1.40%1.20%
Rented or Sold, Not Occupied49, 0.57%, see rank1.04%0.92%
For Seasonal, Recreational, or Occasional Use92, 1.06%, see rank6.26%3.97%
For Migrant Workers0, 0.00%, see rank0.05%0.03%
Other Vacant65, 0.75%, see rank4.96%4.00%

US Census 2010 data

 48085 Zip CodeMichiganU.S.
Total Housing Units8,768, see rank, 100%4,532,233131,704,730
Occupied Housing Units8,474, 96.65%, see rank85.44%88.62%
Owner Occupied7,712, 87.96%, see rank61.63%57.69%
Renter Occupied762, 8.69%, see rank23.81%30.93%
Vacant Housing Units294, 3.35%, see rank14.56%11.38%
For Rent35, 0.40%, see rank3.13%3.14%
For Sale Only95, 1.08%, see rank1.70%1.44%
Rented or Sold, Not Occupied41, 0.47%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use38, 0.43%, see rank5.80%3.53%
For Migrant Workers0, 0.00%, see rank0.04%0.02%
Other Vacant85, 0.97%, see rank3.34%2.77%

ACS 2008-2012 data

 48085 Zip CodeMichiganU.S.
Total Housing Units8,658, see rank, 100%4,531,958131,642,457
Occupied Housing Units8,385, 96.85%, see rank84.27%87.53%
Owner Occupied7,781, 89.87%, see rank61.35%57.34%
Renter Occupied604, 6.98%, see rank22.92%30.19%
Vacant Housing Units273, 3.15%, see rank15.73%12.47%
For Rent21, 0.24%, see rank2.16%2.50%
For Sale Only129, 1.49%, see rank1.80%1.38%
Rented or Sold, Not Occupied38, 0.44%, see rank1.04%0.91%
For Seasonal, Recreational, or Occasional Use40, 0.46%, see rank6.12%3.81%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant45, 0.52%, see rank4.57%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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