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80602 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 80602 Zip CodeColoradoU.S.
Total Housing Units9,557, see rank, 100%2,238,624132,741,033
Occupied Housing Units9,277, 97.07%, see rank89.27%87.55%
Owner Occupied8,461, 88.53%, see rank57.85%56.34%
Renter Occupied816, 8.54%, see rank31.42%31.21%
Vacant Housing Units280, 2.93%, see rank10.73%12.45%
For Rent0, 0.00%, see rank1.87%2.34%
For Sale Only142, 1.49%, see rank1.07%1.20%
Rented or Sold, Not Occupied50, 0.52%, see rank0.76%0.92%
For Seasonal, Recreational, or Occasional Use38, 0.40%, see rank4.90%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant50, 0.52%, see rank2.11%4.00%

US Census 2010 data

 80602 Zip CodeColoradoU.S.
Total Housing Units9,248, see rank, 100%2,212,898131,704,730
Occupied Housing Units8,910, 96.35%, see rank89.15%88.62%
Owner Occupied8,180, 88.45%, see rank58.43%57.69%
Renter Occupied730, 7.89%, see rank30.72%30.93%
Vacant Housing Units338, 3.65%, see rank10.85%11.38%
For Rent31, 0.34%, see rank2.60%3.14%
For Sale Only158, 1.71%, see rank1.48%1.44%
Rented or Sold, Not Occupied36, 0.39%, see rank0.38%0.48%
For Seasonal, Recreational, or Occasional Use23, 0.25%, see rank4.61%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant90, 0.97%, see rank1.75%2.77%

ACS 2008-2012 data

 80602 Zip CodeColoradoU.S.
Total Housing Units9,244, see rank, 100%2,211,615131,642,457
Occupied Housing Units8,927, 96.57%, see rank88.75%87.53%
Owner Occupied8,258, 89.33%, see rank58.51%57.34%
Renter Occupied669, 7.24%, see rank30.24%30.19%
Vacant Housing Units317, 3.43%, see rank11.25%12.47%
For Rent23, 0.25%, see rank2.14%2.50%
For Sale Only194, 2.10%, see rank1.33%1.38%
Rented or Sold, Not Occupied19, 0.21%, see rank0.78%0.91%
For Seasonal, Recreational, or Occasional Use12, 0.13%, see rank4.84%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant69, 0.75%, see rank2.12%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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