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75645 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 75645 Zip CodeTexasU.S.
Total Housing Units4,199, see rank, 100%10,187,189132,741,033
Occupied Housing Units3,513, 83.66%, see rank88.48%87.55%
Owner Occupied3,014, 71.78%, see rank55.49%56.34%
Renter Occupied499, 11.88%, see rank32.99%31.21%
Vacant Housing Units686, 16.34%, see rank11.52%12.45%
For Rent16, 0.38%, see rank3.13%2.34%
For Sale Only28, 0.67%, see rank1.05%1.20%
Rented or Sold, Not Occupied13, 0.31%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use139, 3.31%, see rank2.37%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant490, 11.67%, see rank3.97%4.00%

US Census 2010 data

 75645 Zip CodeTexasU.S.
Total Housing Units4,092, see rank, 100%9,977,436131,704,730
Occupied Housing Units3,721, 90.93%, see rank89.43%88.62%
Owner Occupied3,165, 77.35%, see rank56.98%57.69%
Renter Occupied556, 13.59%, see rank32.45%30.93%
Vacant Housing Units371, 9.07%, see rank10.57%11.38%
For Rent56, 1.37%, see rank3.95%3.14%
For Sale Only56, 1.37%, see rank1.22%1.44%
Rented or Sold, Not Occupied15, 0.37%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use59, 1.44%, see rank2.09%3.53%
For Migrant Workers1, 0.02%, see rank0.02%0.02%
Other Vacant184, 4.50%, see rank2.82%2.77%

ACS 2008-2012 data

 75645 Zip CodeTexasU.S.
Total Housing Units4,318, see rank, 100%9,978,137131,642,457
Occupied Housing Units3,753, 86.92%, see rank88.02%87.53%
Owner Occupied3,097, 71.72%, see rank56.21%57.34%
Renter Occupied656, 15.19%, see rank31.81%30.19%
Vacant Housing Units565, 13.08%, see rank11.98%12.47%
For Rent0, 0.00%, see rank3.45%2.50%
For Sale Only52, 1.20%, see rank1.24%1.38%
Rented or Sold, Not Occupied13, 0.30%, see rank0.92%0.91%
For Seasonal, Recreational, or Occasional Use125, 2.89%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant375, 8.68%, 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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