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80247 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 80247 Zip CodeColoradoU.S.
Total Housing Units14,898, see rank, 100%2,238,624132,741,033
Occupied Housing Units13,452, 90.29%, see rank89.27%87.55%
Owner Occupied4,649, 31.21%, see rank57.85%56.34%
Renter Occupied8,803, 59.09%, see rank31.42%31.21%
Vacant Housing Units1,446, 9.71%, see rank10.73%12.45%
For Rent541, 3.63%, see rank1.87%2.34%
For Sale Only132, 0.89%, see rank1.07%1.20%
Rented or Sold, Not Occupied132, 0.89%, see rank0.76%0.92%
For Seasonal, Recreational, or Occasional Use132, 0.89%, see rank4.90%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant509, 3.42%, see rank2.11%4.00%

US Census 2010 data

 80247 Zip CodeColoradoU.S.
Total Housing Units14,986, see rank, 100%2,212,898131,704,730
Occupied Housing Units13,517, 90.20%, see rank89.15%88.62%
Owner Occupied5,122, 34.18%, see rank58.43%57.69%
Renter Occupied8,395, 56.02%, see rank30.72%30.93%
Vacant Housing Units1,469, 9.80%, see rank10.85%11.38%
For Rent884, 5.90%, see rank2.60%3.14%
For Sale Only218, 1.45%, see rank1.48%1.44%
Rented or Sold, Not Occupied52, 0.35%, see rank0.38%0.48%
For Seasonal, Recreational, or Occasional Use103, 0.69%, see rank4.61%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant212, 1.41%, see rank1.75%2.77%

ACS 2008-2012 data

 80247 Zip CodeColoradoU.S.
Total Housing Units14,958, see rank, 100%2,211,615131,642,457
Occupied Housing Units13,489, 90.18%, see rank88.75%87.53%
Owner Occupied4,863, 32.51%, see rank58.51%57.34%
Renter Occupied8,626, 57.67%, see rank30.24%30.19%
Vacant Housing Units1,469, 9.82%, see rank11.25%12.47%
For Rent715, 4.78%, see rank2.14%2.50%
For Sale Only105, 0.70%, see rank1.33%1.38%
Rented or Sold, Not Occupied138, 0.92%, see rank0.78%0.91%
For Seasonal, Recreational, or Occasional Use45, 0.30%, see rank4.84%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant466, 3.12%, 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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