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48855 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 48855 Zip CodeMichiganU.S.
Total Housing Units5,598, see rank, 100%4,532,719132,741,033
Occupied Housing Units5,377, 96.05%, see rank84.45%87.55%
Owner Occupied4,800, 85.74%, see rank60.41%56.34%
Renter Occupied577, 10.31%, see rank24.04%31.21%
Vacant Housing Units221, 3.95%, see rank15.55%12.45%
For Rent0, 0.00%, see rank1.84%2.34%
For Sale Only27, 0.48%, see rank1.40%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.04%0.92%
For Seasonal, Recreational, or Occasional Use138, 2.47%, see rank6.26%3.97%
For Migrant Workers0, 0.00%, see rank0.05%0.03%
Other Vacant56, 1.00%, see rank4.96%4.00%

US Census 2010 data

 48855 Zip CodeMichiganU.S.
Total Housing Units5,681, see rank, 100%4,532,233131,704,730
Occupied Housing Units5,294, 93.19%, see rank85.44%88.62%
Owner Occupied4,681, 82.40%, see rank61.63%57.69%
Renter Occupied613, 10.79%, see rank23.81%30.93%
Vacant Housing Units387, 6.81%, see rank14.56%11.38%
For Rent54, 0.95%, see rank3.13%3.14%
For Sale Only98, 1.73%, see rank1.70%1.44%
Rented or Sold, Not Occupied35, 0.62%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use85, 1.50%, see rank5.80%3.53%
For Migrant Workers1, 0.02%, see rank0.04%0.02%
Other Vacant114, 2.01%, see rank3.34%2.77%

ACS 2008-2012 data

 48855 Zip CodeMichiganU.S.
Total Housing Units5,512, see rank, 100%4,531,958131,642,457
Occupied Housing Units5,264, 95.50%, see rank84.27%87.53%
Owner Occupied4,785, 86.81%, see rank61.35%57.34%
Renter Occupied479, 8.69%, see rank22.92%30.19%
Vacant Housing Units248, 4.50%, see rank15.73%12.47%
For Rent54, 0.98%, see rank2.16%2.50%
For Sale Only33, 0.60%, see rank1.80%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.04%0.91%
For Seasonal, Recreational, or Occasional Use144, 2.61%, see rank6.12%3.81%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant17, 0.31%, 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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