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84081 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 84081 Zip CodeUtahU.S.
Total Housing Units12,231, see rank, 100%999,734132,741,033
Occupied Housing Units11,788, 96.38%, see rank89.64%87.55%
Owner Occupied9,846, 80.50%, see rank62.48%56.34%
Renter Occupied1,942, 15.88%, see rank27.17%31.21%
Vacant Housing Units443, 3.62%, see rank10.36%12.45%
For Rent86, 0.70%, see rank1.67%2.34%
For Sale Only120, 0.98%, see rank1.12%1.20%
Rented or Sold, Not Occupied66, 0.54%, see rank0.65%0.92%
For Seasonal, Recreational, or Occasional Use12, 0.10%, see rank4.93%3.97%
For Migrant Workers0, 0.00%, see rank0.04%0.03%
Other Vacant159, 1.30%, see rank1.95%4.00%

US Census 2010 data

 84081 Zip CodeUtahU.S.
Total Housing Units11,425, see rank, 100%979,709131,704,730
Occupied Housing Units10,596, 92.74%, see rank89.59%88.62%
Owner Occupied9,021, 78.96%, see rank63.09%57.69%
Renter Occupied1,575, 13.79%, see rank26.49%30.93%
Vacant Housing Units829, 7.26%, see rank10.41%11.38%
For Rent308, 2.70%, see rank2.06%3.14%
For Sale Only313, 2.74%, see rank1.49%1.44%
Rented or Sold, Not Occupied37, 0.32%, see rank0.43%0.48%
For Seasonal, Recreational, or Occasional Use7, 0.06%, see rank4.90%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant164, 1.44%, see rank1.51%2.77%

ACS 2008-2012 data

 84081 Zip CodeUtahU.S.
Total Housing Units11,148, see rank, 100%979,848131,642,457
Occupied Housing Units10,749, 96.42%, see rank89.90%87.53%
Owner Occupied9,157, 82.14%, see rank63.32%57.34%
Renter Occupied1,592, 14.28%, see rank26.58%30.19%
Vacant Housing Units399, 3.58%, see rank10.10%12.47%
For Rent99, 0.89%, see rank1.64%2.50%
For Sale Only92, 0.83%, see rank1.25%1.38%
Rented or Sold, Not Occupied68, 0.61%, see rank0.72%0.91%
For Seasonal, Recreational, or Occasional Use12, 0.11%, see rank4.67%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant128, 1.15%, see rank1.79%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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