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46062 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 46062 Zip CodeIndianaU.S.
Total Housing Units12,375, see rank, 100%2,811,617132,741,033
Occupied Housing Units11,741, 94.88%, see rank88.64%87.55%
Owner Occupied9,512, 76.86%, see rank61.56%56.34%
Renter Occupied2,229, 18.01%, see rank27.07%31.21%
Vacant Housing Units634, 5.12%, see rank11.36%12.45%
For Rent307, 2.48%, see rank2.40%2.34%
For Sale Only135, 1.09%, see rank1.47%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.24%0.92%
For Seasonal, Recreational, or Occasional Use111, 0.90%, see rank1.64%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant81, 0.65%, see rank4.59%4.00%

US Census 2010 data

 46062 Zip CodeIndianaU.S.
Total Housing Units11,794, see rank, 100%2,795,541131,704,730
Occupied Housing Units10,833, 91.85%, see rank89.51%88.62%
Owner Occupied8,821, 74.79%, see rank62.53%57.69%
Renter Occupied2,012, 17.06%, see rank26.98%30.93%
Vacant Housing Units961, 8.15%, see rank10.49%11.38%
For Rent321, 2.72%, see rank3.33%3.14%
For Sale Only220, 1.87%, see rank1.66%1.44%
Rented or Sold, Not Occupied52, 0.44%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use153, 1.30%, see rank1.63%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant215, 1.82%, see rank3.34%2.77%

ACS 2008-2012 data

 46062 Zip CodeIndianaU.S.
Total Housing Units11,944, see rank, 100%2,797,237131,642,457
Occupied Housing Units11,212, 93.87%, see rank88.62%87.53%
Owner Occupied9,312, 77.96%, see rank62.55%57.34%
Renter Occupied1,900, 15.91%, see rank26.06%30.19%
Vacant Housing Units732, 6.13%, see rank11.38%12.47%
For Rent387, 3.24%, see rank2.56%2.50%
For Sale Only199, 1.67%, see rank1.62%1.38%
Rented or Sold, Not Occupied29, 0.24%, see rank1.18%0.91%
For Seasonal, Recreational, or Occasional Use22, 0.18%, see rank1.49%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant95, 0.80%, 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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