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54482 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 54482 Zip CodeWisconsinU.S.
Total Housing Units3,892, see rank, 100%2,635,602132,741,033
Occupied Housing Units3,639, 93.50%, see rank87.01%87.55%
Owner Occupied3,069, 78.85%, see rank58.88%56.34%
Renter Occupied570, 14.65%, see rank28.13%31.21%
Vacant Housing Units253, 6.50%, see rank12.99%12.45%
For Rent176, 4.52%, see rank1.55%2.34%
For Sale Only27, 0.69%, see rank1.14%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.58%0.92%
For Seasonal, Recreational, or Occasional Use34, 0.87%, see rank7.02%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant16, 0.41%, see rank2.67%4.00%

US Census 2010 data

 54482 Zip CodeWisconsinU.S.
Total Housing Units3,802, see rank, 100%2,624,358131,704,730
Occupied Housing Units3,599, 94.66%, see rank86.87%88.62%
Owner Occupied2,970, 78.12%, see rank59.12%57.69%
Renter Occupied629, 16.54%, see rank27.75%30.93%
Vacant Housing Units203, 5.34%, see rank13.13%11.38%
For Rent90, 2.37%, see rank2.41%3.14%
For Sale Only44, 1.16%, see rank1.30%1.44%
Rented or Sold, Not Occupied8, 0.21%, see rank0.36%0.48%
For Seasonal, Recreational, or Occasional Use30, 0.79%, see rank7.36%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant31, 0.82%, see rank1.69%2.77%

ACS 2008-2012 data

 54482 Zip CodeWisconsinU.S.
Total Housing Units3,843, see rank, 100%2,620,401131,642,457
Occupied Housing Units3,689, 95.99%, see rank87.25%87.53%
Owner Occupied3,166, 82.38%, see rank59.85%57.34%
Renter Occupied523, 13.61%, see rank27.40%30.19%
Vacant Housing Units154, 4.01%, see rank12.75%12.47%
For Rent78, 2.03%, see rank1.66%2.50%
For Sale Only36, 0.94%, see rank1.18%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.59%0.91%
For Seasonal, Recreational, or Occasional Use19, 0.49%, see rank6.66%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant21, 0.55%, see rank2.64%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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