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60156 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 60156 Zip CodeIllinoisU.S.
Total Housing Units10,379, see rank, 100%5,299,433132,741,033
Occupied Housing Units9,925, 95.63%, see rank90.17%87.55%
Owner Occupied8,927, 86.01%, see rank60.28%56.34%
Renter Occupied998, 9.62%, see rank29.89%31.21%
Vacant Housing Units454, 4.37%, see rank9.83%12.45%
For Rent24, 0.23%, see rank2.18%2.34%
For Sale Only150, 1.45%, see rank1.36%1.20%
Rented or Sold, Not Occupied52, 0.50%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use42, 0.40%, see rank0.95%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant186, 1.79%, see rank4.46%4.00%

US Census 2010 data

 60156 Zip CodeIllinoisU.S.
Total Housing Units9,894, see rank, 100%5,296,715131,704,730
Occupied Housing Units9,554, 96.56%, see rank91.32%88.62%
Owner Occupied8,718, 88.11%, see rank61.62%57.69%
Renter Occupied836, 8.45%, see rank29.70%30.93%
Vacant Housing Units340, 3.44%, see rank8.68%11.38%
For Rent60, 0.61%, see rank3.00%3.14%
For Sale Only134, 1.35%, see rank1.56%1.44%
Rented or Sold, Not Occupied23, 0.23%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use43, 0.43%, see rank0.89%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant80, 0.81%, see rank2.75%2.77%

ACS 2008-2012 data

 60156 Zip CodeIllinoisU.S.
Total Housing Units10,258, see rank, 100%5,293,619131,642,457
Occupied Housing Units9,792, 95.46%, see rank90.19%87.53%
Owner Occupied8,909, 86.85%, see rank61.37%57.34%
Renter Occupied883, 8.61%, see rank28.82%30.19%
Vacant Housing Units466, 4.54%, see rank9.81%12.47%
For Rent54, 0.53%, see rank2.22%2.50%
For Sale Only137, 1.34%, see rank1.51%1.38%
Rented or Sold, Not Occupied106, 1.03%, see rank0.87%0.91%
For Seasonal, Recreational, or Occasional Use55, 0.54%, see rank0.88%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant114, 1.11%, see rank4.33%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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