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75965 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 75965 Zip CodeTexasU.S.
Total Housing Units8,584, see rank, 100%10,187,189132,741,033
Occupied Housing Units7,731, 90.06%, see rank88.48%87.55%
Owner Occupied3,885, 45.26%, see rank55.49%56.34%
Renter Occupied3,846, 44.80%, see rank32.99%31.21%
Vacant Housing Units853, 9.94%, see rank11.52%12.45%
For Rent369, 4.30%, see rank3.13%2.34%
For Sale Only51, 0.59%, see rank1.05%1.20%
Rented or Sold, Not Occupied10, 0.12%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use137, 1.60%, see rank2.37%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant286, 3.33%, see rank3.97%4.00%

US Census 2010 data

 75965 Zip CodeTexasU.S.
Total Housing Units8,152, see rank, 100%9,977,436131,704,730
Occupied Housing Units7,440, 91.27%, see rank89.43%88.62%
Owner Occupied3,760, 46.12%, see rank56.98%57.69%
Renter Occupied3,680, 45.14%, see rank32.45%30.93%
Vacant Housing Units712, 8.73%, see rank10.57%11.38%
For Rent384, 4.71%, see rank3.95%3.14%
For Sale Only55, 0.67%, see rank1.22%1.44%
Rented or Sold, Not Occupied31, 0.38%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use64, 0.79%, see rank2.09%3.53%
For Migrant Workers2, 0.02%, see rank0.02%0.02%
Other Vacant176, 2.16%, see rank2.82%2.77%

ACS 2008-2012 data

 75965 Zip CodeTexasU.S.
Total Housing Units8,525, see rank, 100%9,978,137131,642,457
Occupied Housing Units7,568, 88.77%, see rank88.02%87.53%
Owner Occupied3,806, 44.65%, see rank56.21%57.34%
Renter Occupied3,762, 44.13%, see rank31.81%30.19%
Vacant Housing Units957, 11.23%, see rank11.98%12.47%
For Rent312, 3.66%, see rank3.45%2.50%
For Sale Only64, 0.75%, see rank1.24%1.38%
Rented or Sold, Not Occupied99, 1.16%, see rank0.92%0.91%
For Seasonal, Recreational, or Occasional Use152, 1.78%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant330, 3.87%, see rank3.99%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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