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75803 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 75803 Zip CodeTexasU.S.
Total Housing Units6,894, see rank, 100%10,187,189132,741,033
Occupied Housing Units6,070, 88.05%, see rank88.48%87.55%
Owner Occupied4,428, 64.23%, see rank55.49%56.34%
Renter Occupied1,642, 23.82%, see rank32.99%31.21%
Vacant Housing Units824, 11.95%, see rank11.52%12.45%
For Rent80, 1.16%, see rank3.13%2.34%
For Sale Only99, 1.44%, see rank1.05%1.20%
Rented or Sold, Not Occupied7, 0.10%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use347, 5.03%, see rank2.37%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant291, 4.22%, see rank3.97%4.00%

US Census 2010 data

 75803 Zip CodeTexasU.S.
Total Housing Units6,930, see rank, 100%9,977,436131,704,730
Occupied Housing Units6,078, 87.71%, see rank89.43%88.62%
Owner Occupied4,647, 67.06%, see rank56.98%57.69%
Renter Occupied1,431, 20.65%, see rank32.45%30.93%
Vacant Housing Units852, 12.29%, see rank10.57%11.38%
For Rent145, 2.09%, see rank3.95%3.14%
For Sale Only82, 1.18%, see rank1.22%1.44%
Rented or Sold, Not Occupied78, 1.13%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use216, 3.12%, see rank2.09%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant331, 4.78%, see rank2.82%2.77%

ACS 2008-2012 data

 75803 Zip CodeTexasU.S.
Total Housing Units6,847, see rank, 100%9,978,137131,642,457
Occupied Housing Units5,764, 84.18%, see rank88.02%87.53%
Owner Occupied4,290, 62.66%, see rank56.21%57.34%
Renter Occupied1,474, 21.53%, see rank31.81%30.19%
Vacant Housing Units1,083, 15.82%, see rank11.98%12.47%
For Rent87, 1.27%, see rank3.45%2.50%
For Sale Only67, 0.98%, see rank1.24%1.38%
Rented or Sold, Not Occupied42, 0.61%, see rank0.92%0.91%
For Seasonal, Recreational, or Occasional Use374, 5.46%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant513, 7.49%, 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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