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48168 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 48168 Zip CodeMichiganU.S.
Total Housing Units8,216, see rank, 100%4,532,719132,741,033
Occupied Housing Units7,888, 96.01%, see rank84.45%87.55%
Owner Occupied6,960, 84.71%, see rank60.41%56.34%
Renter Occupied928, 11.30%, see rank24.04%31.21%
Vacant Housing Units328, 3.99%, see rank15.55%12.45%
For Rent91, 1.11%, see rank1.84%2.34%
For Sale Only14, 0.17%, see rank1.40%1.20%
Rented or Sold, Not Occupied39, 0.47%, see rank1.04%0.92%
For Seasonal, Recreational, or Occasional Use29, 0.35%, see rank6.26%3.97%
For Migrant Workers0, 0.00%, see rank0.05%0.03%
Other Vacant155, 1.89%, see rank4.96%4.00%

US Census 2010 data

 48168 Zip CodeMichiganU.S.
Total Housing Units8,502, see rank, 100%4,532,233131,704,730
Occupied Housing Units8,085, 95.10%, see rank85.44%88.62%
Owner Occupied7,246, 85.23%, see rank61.63%57.69%
Renter Occupied839, 9.87%, see rank23.81%30.93%
Vacant Housing Units417, 4.90%, see rank14.56%11.38%
For Rent95, 1.12%, see rank3.13%3.14%
For Sale Only137, 1.61%, see rank1.70%1.44%
Rented or Sold, Not Occupied32, 0.38%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use88, 1.04%, see rank5.80%3.53%
For Migrant Workers0, 0.00%, see rank0.04%0.02%
Other Vacant65, 0.76%, see rank3.34%2.77%

ACS 2008-2012 data

 48168 Zip CodeMichiganU.S.
Total Housing Units7,886, see rank, 100%4,531,958131,642,457
Occupied Housing Units7,526, 95.43%, see rank84.27%87.53%
Owner Occupied6,715, 85.15%, see rank61.35%57.34%
Renter Occupied811, 10.28%, see rank22.92%30.19%
Vacant Housing Units360, 4.57%, see rank15.73%12.47%
For Rent120, 1.52%, see rank2.16%2.50%
For Sale Only51, 0.65%, see rank1.80%1.38%
Rented or Sold, Not Occupied79, 1.00%, see rank1.04%0.91%
For Seasonal, Recreational, or Occasional Use32, 0.41%, see rank6.12%3.81%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant78, 0.99%, 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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