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50023 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 50023 Zip CodeIowaU.S.
Total Housing Units11,460, see rank, 100%1,348,151132,741,033
Occupied Housing Units11,045, 96.38%, see rank91.40%87.55%
Owner Occupied8,572, 74.80%, see rank65.64%56.34%
Renter Occupied2,473, 21.58%, see rank25.76%31.21%
Vacant Housing Units415, 3.62%, see rank8.60%12.45%
For Rent79, 0.69%, see rank1.72%2.34%
For Sale Only24, 0.21%, see rank1.16%1.20%
Rented or Sold, Not Occupied160, 1.40%, see rank0.79%0.92%
For Seasonal, Recreational, or Occasional Use82, 0.72%, see rank1.48%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant70, 0.61%, see rank3.45%4.00%

US Census 2010 data

 50023 Zip CodeIowaU.S.
Total Housing Units10,847, see rank, 100%1,336,417131,704,730
Occupied Housing Units10,289, 94.86%, see rank91.41%88.62%
Owner Occupied8,276, 76.30%, see rank65.90%57.69%
Renter Occupied2,013, 18.56%, see rank25.51%30.93%
Vacant Housing Units558, 5.14%, see rank8.59%11.38%
For Rent211, 1.95%, see rank2.38%3.14%
For Sale Only207, 1.91%, see rank1.38%1.44%
Rented or Sold, Not Occupied42, 0.39%, see rank0.55%0.48%
For Seasonal, Recreational, or Occasional Use34, 0.31%, see rank1.57%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant64, 0.59%, see rank2.71%2.77%

ACS 2008-2012 data

 50023 Zip CodeIowaU.S.
Total Housing Units10,614, see rank, 100%1,337,410131,642,457
Occupied Housing Units10,163, 95.75%, see rank91.48%87.53%
Owner Occupied8,325, 78.43%, see rank66.42%57.34%
Renter Occupied1,838, 17.32%, see rank25.06%30.19%
Vacant Housing Units451, 4.25%, see rank8.52%12.47%
For Rent0, 0.00%, see rank1.74%2.50%
For Sale Only99, 0.93%, see rank1.30%1.38%
Rented or Sold, Not Occupied83, 0.78%, see rank0.70%0.91%
For Seasonal, Recreational, or Occasional Use72, 0.68%, see rank1.39%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant197, 1.86%, see rank3.38%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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