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49534 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 49534 Zip CodeMichiganU.S.
Total Housing Units9,122, see rank, 100%4,532,719132,741,033
Occupied Housing Units8,849, 97.01%, see rank84.45%87.55%
Owner Occupied6,132, 67.22%, see rank60.41%56.34%
Renter Occupied2,717, 29.79%, see rank24.04%31.21%
Vacant Housing Units273, 2.99%, see rank15.55%12.45%
For Rent74, 0.81%, see rank1.84%2.34%
For Sale Only0, 0.00%, see rank1.40%1.20%
Rented or Sold, Not Occupied53, 0.58%, see rank1.04%0.92%
For Seasonal, Recreational, or Occasional Use17, 0.19%, see rank6.26%3.97%
For Migrant Workers0, 0.00%, see rank0.05%0.03%
Other Vacant129, 1.41%, see rank4.96%4.00%

US Census 2010 data

 49534 Zip CodeMichiganU.S.
Total Housing Units9,194, see rank, 100%4,532,233131,704,730
Occupied Housing Units8,565, 93.16%, see rank85.44%88.62%
Owner Occupied5,949, 64.71%, see rank61.63%57.69%
Renter Occupied2,616, 28.45%, see rank23.81%30.93%
Vacant Housing Units629, 6.84%, see rank14.56%11.38%
For Rent359, 3.90%, see rank3.13%3.14%
For Sale Only76, 0.83%, see rank1.70%1.44%
Rented or Sold, Not Occupied30, 0.33%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use31, 0.34%, see rank5.80%3.53%
For Migrant Workers5, 0.05%, see rank0.04%0.02%
Other Vacant128, 1.39%, see rank3.34%2.77%

ACS 2008-2012 data

 49534 Zip CodeMichiganU.S.
Total Housing Units9,219, see rank, 100%4,531,958131,642,457
Occupied Housing Units8,732, 94.72%, see rank84.27%87.53%
Owner Occupied6,297, 68.30%, see rank61.35%57.34%
Renter Occupied2,435, 26.41%, see rank22.92%30.19%
Vacant Housing Units487, 5.28%, see rank15.73%12.47%
For Rent245, 2.66%, see rank2.16%2.50%
For Sale Only43, 0.47%, see rank1.80%1.38%
Rented or Sold, Not Occupied17, 0.18%, see rank1.04%0.91%
For Seasonal, Recreational, or Occasional Use43, 0.47%, see rank6.12%3.81%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant139, 1.51%, 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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