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48193 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 48193 Zip CodeMichiganU.S.
Total Housing Units6,474, see rank, 100%4,532,719132,741,033
Occupied Housing Units5,912, 91.32%, see rank84.45%87.55%
Owner Occupied3,934, 60.77%, see rank60.41%56.34%
Renter Occupied1,978, 30.55%, see rank24.04%31.21%
Vacant Housing Units562, 8.68%, see rank15.55%12.45%
For Rent274, 4.23%, see rank1.84%2.34%
For Sale Only124, 1.92%, see rank1.40%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.04%0.92%
For Seasonal, Recreational, or Occasional Use28, 0.43%, see rank6.26%3.97%
For Migrant Workers0, 0.00%, see rank0.05%0.03%
Other Vacant136, 2.10%, see rank4.96%4.00%

US Census 2010 data

 48193 Zip CodeMichiganU.S.
Total Housing Units6,775, see rank, 100%4,532,233131,704,730
Occupied Housing Units6,299, 92.97%, see rank85.44%88.62%
Owner Occupied4,068, 60.04%, see rank61.63%57.69%
Renter Occupied2,231, 32.93%, see rank23.81%30.93%
Vacant Housing Units476, 7.03%, see rank14.56%11.38%
For Rent244, 3.60%, see rank3.13%3.14%
For Sale Only88, 1.30%, see rank1.70%1.44%
Rented or Sold, Not Occupied22, 0.32%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use25, 0.37%, see rank5.80%3.53%
For Migrant Workers0, 0.00%, see rank0.04%0.02%
Other Vacant97, 1.43%, see rank3.34%2.77%

ACS 2008-2012 data

 48193 Zip CodeMichiganU.S.
Total Housing Units6,461, see rank, 100%4,531,958131,642,457
Occupied Housing Units5,765, 89.23%, see rank84.27%87.53%
Owner Occupied3,809, 58.95%, see rank61.35%57.34%
Renter Occupied1,956, 30.27%, see rank22.92%30.19%
Vacant Housing Units696, 10.77%, see rank15.73%12.47%
For Rent357, 5.53%, see rank2.16%2.50%
For Sale Only134, 2.07%, see rank1.80%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.04%0.91%
For Seasonal, Recreational, or Occasional Use13, 0.20%, see rank6.12%3.81%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant192, 2.97%, 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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