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46037 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 46037 Zip CodeIndianaU.S.
Total Housing Units13,118, see rank, 100%2,811,617132,741,033
Occupied Housing Units12,504, 95.32%, see rank88.64%87.55%
Owner Occupied10,808, 82.39%, see rank61.56%56.34%
Renter Occupied1,696, 12.93%, see rank27.07%31.21%
Vacant Housing Units614, 4.68%, see rank11.36%12.45%
For Rent292, 2.23%, see rank2.40%2.34%
For Sale Only122, 0.93%, see rank1.47%1.20%
Rented or Sold, Not Occupied153, 1.17%, see rank1.24%0.92%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank1.64%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant47, 0.36%, see rank4.59%4.00%

US Census 2010 data

 46037 Zip CodeIndianaU.S.
Total Housing Units12,631, see rank, 100%2,795,541131,704,730
Occupied Housing Units12,084, 95.67%, see rank89.51%88.62%
Owner Occupied10,465, 82.85%, see rank62.53%57.69%
Renter Occupied1,619, 12.82%, see rank26.98%30.93%
Vacant Housing Units547, 4.33%, see rank10.49%11.38%
For Rent128, 1.01%, see rank3.33%3.14%
For Sale Only180, 1.43%, see rank1.66%1.44%
Rented or Sold, Not Occupied45, 0.36%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use68, 0.54%, see rank1.63%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant126, 1.00%, see rank3.34%2.77%

ACS 2008-2012 data

 46037 Zip CodeIndianaU.S.
Total Housing Units12,349, see rank, 100%2,797,237131,642,457
Occupied Housing Units11,797, 95.53%, see rank88.62%87.53%
Owner Occupied10,403, 84.24%, see rank62.55%57.34%
Renter Occupied1,394, 11.29%, see rank26.06%30.19%
Vacant Housing Units552, 4.47%, see rank11.38%12.47%
For Rent199, 1.61%, see rank2.56%2.50%
For Sale Only62, 0.50%, see rank1.62%1.38%
Rented or Sold, Not Occupied206, 1.67%, see rank1.18%0.91%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank1.49%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant85, 0.69%, see rank4.53%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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