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77377 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 77377 Zip CodeTexasU.S.
Total Housing Units10,301, see rank, 100%10,187,189132,741,033
Occupied Housing Units9,993, 97.01%, see rank88.48%87.55%
Owner Occupied8,051, 78.16%, see rank55.49%56.34%
Renter Occupied1,942, 18.85%, see rank32.99%31.21%
Vacant Housing Units308, 2.99%, see rank11.52%12.45%
For Rent110, 1.07%, see rank3.13%2.34%
For Sale Only53, 0.51%, see rank1.05%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use37, 0.36%, see rank2.37%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant108, 1.05%, see rank3.97%4.00%

US Census 2010 data

 77377 Zip CodeTexasU.S.
Total Housing Units10,136, see rank, 100%9,977,436131,704,730
Occupied Housing Units9,709, 95.79%, see rank89.43%88.62%
Owner Occupied8,302, 81.91%, see rank56.98%57.69%
Renter Occupied1,407, 13.88%, see rank32.45%30.93%
Vacant Housing Units427, 4.21%, see rank10.57%11.38%
For Rent82, 0.81%, see rank3.95%3.14%
For Sale Only146, 1.44%, see rank1.22%1.44%
Rented or Sold, Not Occupied28, 0.28%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use38, 0.37%, see rank2.09%3.53%
For Migrant Workers1, 0.01%, see rank0.02%0.02%
Other Vacant132, 1.30%, see rank2.82%2.77%

ACS 2008-2012 data

 77377 Zip CodeTexasU.S.
Total Housing Units9,791, see rank, 100%9,978,137131,642,457
Occupied Housing Units9,284, 94.82%, see rank88.02%87.53%
Owner Occupied7,652, 78.15%, see rank56.21%57.34%
Renter Occupied1,632, 16.67%, see rank31.81%30.19%
Vacant Housing Units507, 5.18%, see rank11.98%12.47%
For Rent119, 1.22%, see rank3.45%2.50%
For Sale Only89, 0.91%, see rank1.24%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.92%0.91%
For Seasonal, Recreational, or Occasional Use61, 0.62%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant238, 2.43%, 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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