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83646 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 83646 Zip CodeIdahoU.S.
Total Housing Units17,917, see rank, 100%675,421132,741,033
Occupied Housing Units17,548, 97.94%, see rank86.65%87.55%
Owner Occupied14,069, 78.52%, see rank59.96%56.34%
Renter Occupied3,479, 19.42%, see rank26.69%31.21%
Vacant Housing Units369, 2.06%, see rank13.35%12.45%
For Rent0, 0.00%, see rank1.70%2.34%
For Sale Only151, 0.84%, see rank1.36%1.20%
Rented or Sold, Not Occupied179, 1.00%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use39, 0.22%, see rank6.67%3.97%
For Migrant Workers0, 0.00%, see rank0.10%0.03%
Other Vacant0, 0.00%, see rank2.54%4.00%

US Census 2010 data

 83646 Zip CodeIdahoU.S.
Total Housing Units16,254, see rank, 100%667,796131,704,730
Occupied Housing Units15,441, 95.00%, see rank86.76%88.62%
Owner Occupied12,561, 77.28%, see rank60.63%57.69%
Renter Occupied2,880, 17.72%, see rank26.13%30.93%
Vacant Housing Units813, 5.00%, see rank13.24%11.38%
For Rent120, 0.74%, see rank2.45%3.14%
For Sale Only415, 2.55%, see rank1.92%1.44%
Rented or Sold, Not Occupied64, 0.39%, see rank0.48%0.48%
For Seasonal, Recreational, or Occasional Use73, 0.45%, see rank6.24%3.53%
For Migrant Workers0, 0.00%, see rank0.09%0.02%
Other Vacant141, 0.87%, see rank2.06%2.77%

ACS 2008-2012 data

 83646 Zip CodeIdahoU.S.
Total Housing Units16,958, see rank, 100%666,718131,642,457
Occupied Housing Units16,221, 95.65%, see rank86.64%87.53%
Owner Occupied12,783, 75.38%, see rank60.72%57.34%
Renter Occupied3,438, 20.27%, see rank25.92%30.19%
Vacant Housing Units737, 4.35%, see rank13.36%12.47%
For Rent63, 0.37%, see rank2.00%2.50%
For Sale Only265, 1.56%, see rank1.57%1.38%
Rented or Sold, Not Occupied195, 1.15%, see rank0.81%0.91%
For Seasonal, Recreational, or Occasional Use105, 0.62%, see rank6.26%3.81%
For Migrant Workers0, 0.00%, see rank0.11%0.03%
Other Vacant109, 0.64%, see rank2.61%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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