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60502 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 60502 Zip CodeIllinoisU.S.
Total Housing Units8,177, see rank, 100%5,299,433132,741,033
Occupied Housing Units7,950, 97.22%, see rank90.17%87.55%
Owner Occupied6,289, 76.91%, see rank60.28%56.34%
Renter Occupied1,661, 20.31%, see rank29.89%31.21%
Vacant Housing Units227, 2.78%, see rank9.83%12.45%
For Rent94, 1.15%, see rank2.18%2.34%
For Sale Only76, 0.93%, see rank1.36%1.20%
Rented or Sold, Not Occupied27, 0.33%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank0.95%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant30, 0.37%, see rank4.46%4.00%

US Census 2010 data

 60502 Zip CodeIllinoisU.S.
Total Housing Units8,200, see rank, 100%5,296,715131,704,730
Occupied Housing Units7,865, 95.91%, see rank91.32%88.62%
Owner Occupied6,330, 77.20%, see rank61.62%57.69%
Renter Occupied1,535, 18.72%, see rank29.70%30.93%
Vacant Housing Units335, 4.09%, see rank8.68%11.38%
For Rent97, 1.18%, see rank3.00%3.14%
For Sale Only121, 1.48%, see rank1.56%1.44%
Rented or Sold, Not Occupied27, 0.33%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use33, 0.40%, see rank0.89%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant57, 0.70%, see rank2.75%2.77%

ACS 2008-2012 data

 60502 Zip CodeIllinoisU.S.
Total Housing Units8,425, see rank, 100%5,293,619131,642,457
Occupied Housing Units8,128, 96.47%, see rank90.19%87.53%
Owner Occupied6,468, 76.77%, see rank61.37%57.34%
Renter Occupied1,660, 19.70%, see rank28.82%30.19%
Vacant Housing Units297, 3.53%, see rank9.81%12.47%
For Rent54, 0.64%, see rank2.22%2.50%
For Sale Only156, 1.85%, see rank1.51%1.38%
Rented or Sold, Not Occupied87, 1.03%, see rank0.87%0.91%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank0.88%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant0, 0.00%, 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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