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92011 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 92011 Zip CodeCaliforniaU.S.
Total Housing Units10,233, see rank, 100%13,781,929132,741,033
Occupied Housing Units9,066, 88.60%, see rank91.55%87.55%
Owner Occupied5,770, 56.39%, see rank50.13%56.34%
Renter Occupied3,296, 32.21%, see rank41.42%31.21%
Vacant Housing Units1,167, 11.40%, see rank8.45%12.45%
For Rent61, 0.60%, see rank2.00%2.34%
For Sale Only158, 1.54%, see rank0.83%1.20%
Rented or Sold, Not Occupied52, 0.51%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use577, 5.64%, see rank2.61%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant319, 3.12%, see rank2.21%4.00%

US Census 2010 data

 92011 Zip CodeCaliforniaU.S.
Total Housing Units10,036, see rank, 100%13,680,081131,704,730
Occupied Housing Units9,034, 90.02%, see rank91.94%88.62%
Owner Occupied6,135, 61.13%, see rank51.43%57.69%
Renter Occupied2,899, 28.89%, see rank40.51%30.93%
Vacant Housing Units1,002, 9.98%, see rank8.06%11.38%
For Rent159, 1.58%, see rank2.74%3.14%
For Sale Only71, 0.71%, see rank1.13%1.44%
Rented or Sold, Not Occupied31, 0.31%, see rank0.40%0.48%
For Seasonal, Recreational, or Occasional Use674, 6.72%, see rank2.21%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant67, 0.67%, see rank1.56%2.77%

ACS 2008-2012 data

 92011 Zip CodeCaliforniaU.S.
Total Housing Units9,914, see rank, 100%13,667,226131,642,457
Occupied Housing Units8,892, 89.69%, see rank91.21%87.53%
Owner Occupied6,077, 61.30%, see rank51.06%57.34%
Renter Occupied2,815, 28.39%, see rank40.15%30.19%
Vacant Housing Units1,022, 10.31%, see rank8.79%12.47%
For Rent155, 1.56%, see rank2.14%2.50%
For Sale Only198, 2.00%, see rank1.12%1.38%
Rented or Sold, Not Occupied20, 0.20%, see rank0.80%0.91%
For Seasonal, Recreational, or Occasional Use425, 4.29%, see rank2.49%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant224, 2.26%, see rank2.22%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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