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48088 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 48088 Zip CodeMichiganU.S.
Total Housing Units9,812, see rank, 100%4,532,719132,741,033
Occupied Housing Units9,229, 94.06%, see rank84.45%87.55%
Owner Occupied7,999, 81.52%, see rank60.41%56.34%
Renter Occupied1,230, 12.54%, see rank24.04%31.21%
Vacant Housing Units583, 5.94%, see rank15.55%12.45%
For Rent87, 0.89%, see rank1.84%2.34%
For Sale Only55, 0.56%, see rank1.40%1.20%
Rented or Sold, Not Occupied166, 1.69%, see rank1.04%0.92%
For Seasonal, Recreational, or Occasional Use33, 0.34%, see rank6.26%3.97%
For Migrant Workers0, 0.00%, see rank0.05%0.03%
Other Vacant242, 2.47%, see rank4.96%4.00%

US Census 2010 data

 48088 Zip CodeMichiganU.S.
Total Housing Units9,569, see rank, 100%4,532,233131,704,730
Occupied Housing Units9,164, 95.77%, see rank85.44%88.62%
Owner Occupied7,826, 81.78%, see rank61.63%57.69%
Renter Occupied1,338, 13.98%, see rank23.81%30.93%
Vacant Housing Units405, 4.23%, see rank14.56%11.38%
For Rent96, 1.00%, see rank3.13%3.14%
For Sale Only120, 1.25%, see rank1.70%1.44%
Rented or Sold, Not Occupied30, 0.31%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use20, 0.21%, see rank5.80%3.53%
For Migrant Workers0, 0.00%, see rank0.04%0.02%
Other Vacant139, 1.45%, see rank3.34%2.77%

ACS 2008-2012 data

 48088 Zip CodeMichiganU.S.
Total Housing Units9,726, see rank, 100%4,531,958131,642,457
Occupied Housing Units9,253, 95.14%, see rank84.27%87.53%
Owner Occupied8,034, 82.60%, see rank61.35%57.34%
Renter Occupied1,219, 12.53%, see rank22.92%30.19%
Vacant Housing Units473, 4.86%, see rank15.73%12.47%
For Rent144, 1.48%, see rank2.16%2.50%
For Sale Only20, 0.21%, see rank1.80%1.38%
Rented or Sold, Not Occupied73, 0.75%, see rank1.04%0.91%
For Seasonal, Recreational, or Occasional Use14, 0.14%, see rank6.12%3.81%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant222, 2.28%, 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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