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77406 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 77406 Zip CodeTexasU.S.
Total Housing Units12,204, see rank, 100%10,187,189132,741,033
Occupied Housing Units11,221, 91.95%, see rank88.48%87.55%
Owner Occupied10,211, 83.67%, see rank55.49%56.34%
Renter Occupied1,010, 8.28%, see rank32.99%31.21%
Vacant Housing Units983, 8.05%, see rank11.52%12.45%
For Rent238, 1.95%, see rank3.13%2.34%
For Sale Only284, 2.33%, see rank1.05%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.97%0.92%
For Seasonal, Recreational, or Occasional Use44, 0.36%, see rank2.37%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant417, 3.42%, see rank3.97%4.00%

US Census 2010 data

 77406 Zip CodeTexasU.S.
Total Housing Units11,373, see rank, 100%9,977,436131,704,730
Occupied Housing Units10,923, 96.04%, see rank89.43%88.62%
Owner Occupied9,688, 85.18%, see rank56.98%57.69%
Renter Occupied1,235, 10.86%, see rank32.45%30.93%
Vacant Housing Units450, 3.96%, see rank10.57%11.38%
For Rent94, 0.83%, see rank3.95%3.14%
For Sale Only232, 2.04%, see rank1.22%1.44%
Rented or Sold, Not Occupied32, 0.28%, see rank0.47%0.48%
For Seasonal, Recreational, or Occasional Use22, 0.19%, see rank2.09%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant70, 0.62%, see rank2.82%2.77%

ACS 2008-2012 data

 77406 Zip CodeTexasU.S.
Total Housing Units11,490, see rank, 100%9,978,137131,642,457
Occupied Housing Units10,567, 91.97%, see rank88.02%87.53%
Owner Occupied9,590, 83.46%, see rank56.21%57.34%
Renter Occupied977, 8.50%, see rank31.81%30.19%
Vacant Housing Units923, 8.03%, see rank11.98%12.47%
For Rent273, 2.38%, see rank3.45%2.50%
For Sale Only212, 1.85%, see rank1.24%1.38%
Rented or Sold, Not Occupied69, 0.60%, see rank0.92%0.91%
For Seasonal, Recreational, or Occasional Use61, 0.53%, see rank2.36%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant308, 2.68%, 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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