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87508 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 87508 Zip CodeNew MexicoU.S.
Total Housing Units8,290, see rank, 100%907,233132,741,033
Occupied Housing Units7,520, 90.71%, see rank84.29%87.55%
Owner Occupied6,111, 73.72%, see rank57.46%56.34%
Renter Occupied1,409, 17.00%, see rank26.83%31.21%
Vacant Housing Units770, 9.29%, see rank15.71%12.45%
For Rent60, 0.72%, see rank2.38%2.34%
For Sale Only23, 0.28%, see rank1.36%1.20%
Rented or Sold, Not Occupied9, 0.11%, see rank0.84%0.92%
For Seasonal, Recreational, or Occasional Use260, 3.14%, see rank5.69%3.97%
For Migrant Workers0, 0.00%, see rank0.11%0.03%
Other Vacant418, 5.04%, see rank5.34%4.00%

US Census 2010 data

 87508 Zip CodeNew MexicoU.S.
Total Housing Units8,020, see rank, 100%901,388131,704,730
Occupied Housing Units7,300, 91.02%, see rank87.80%88.62%
Owner Occupied6,092, 75.96%, see rank60.14%57.69%
Renter Occupied1,208, 15.06%, see rank27.65%30.93%
Vacant Housing Units720, 8.98%, see rank12.20%11.38%
For Rent104, 1.30%, see rank2.46%3.14%
For Sale Only143, 1.78%, see rank1.23%1.44%
Rented or Sold, Not Occupied47, 0.59%, see rank0.38%0.48%
For Seasonal, Recreational, or Occasional Use264, 3.29%, see rank4.06%3.53%
For Migrant Workers0, 0.00%, see rank0.03%0.02%
Other Vacant162, 2.02%, see rank4.05%2.77%

ACS 2008-2012 data

 87508 Zip CodeNew MexicoU.S.
Total Housing Units8,056, see rank, 100%900,504131,642,457
Occupied Housing Units7,296, 90.57%, see rank84.82%87.53%
Owner Occupied6,167, 76.55%, see rank58.47%57.34%
Renter Occupied1,129, 14.01%, see rank26.36%30.19%
Vacant Housing Units760, 9.43%, see rank15.18%12.47%
For Rent94, 1.17%, see rank2.31%2.50%
For Sale Only53, 0.66%, see rank1.29%1.38%
Rented or Sold, Not Occupied23, 0.29%, see rank0.95%0.91%
For Seasonal, Recreational, or Occasional Use253, 3.14%, see rank5.47%3.81%
For Migrant Workers0, 0.00%, see rank0.12%0.03%
Other Vacant337, 4.18%, see rank5.04%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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