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95811 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 95811 Zip CodeCaliforniaU.S.
Total Housing Units4,508, see rank, 100%13,781,929132,741,033
Occupied Housing Units3,991, 88.53%, see rank91.55%87.55%
Owner Occupied470, 10.43%, see rank50.13%56.34%
Renter Occupied3,521, 78.11%, see rank41.42%31.21%
Vacant Housing Units517, 11.47%, see rank8.45%12.45%
For Rent272, 6.03%, see rank2.00%2.34%
For Sale Only42, 0.93%, see rank0.83%1.20%
Rented or Sold, Not Occupied54, 1.20%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use55, 1.22%, see rank2.61%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant94, 2.09%, see rank2.21%4.00%

US Census 2010 data

 95811 Zip CodeCaliforniaU.S.
Total Housing Units4,465, see rank, 100%13,680,081131,704,730
Occupied Housing Units3,943, 88.31%, see rank91.94%88.62%
Owner Occupied512, 11.47%, see rank51.43%57.69%
Renter Occupied3,431, 76.84%, see rank40.51%30.93%
Vacant Housing Units522, 11.69%, see rank8.06%11.38%
For Rent315, 7.05%, see rank2.74%3.14%
For Sale Only82, 1.84%, see rank1.13%1.44%
Rented or Sold, Not Occupied15, 0.34%, see rank0.40%0.48%
For Seasonal, Recreational, or Occasional Use44, 0.99%, see rank2.21%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant66, 1.48%, see rank1.56%2.77%

ACS 2008-2012 data

 95811 Zip CodeCaliforniaU.S.
Total Housing Units4,651, see rank, 100%13,667,226131,642,457
Occupied Housing Units4,083, 87.79%, see rank91.21%87.53%
Owner Occupied384, 8.26%, see rank51.06%57.34%
Renter Occupied3,699, 79.53%, see rank40.15%30.19%
Vacant Housing Units568, 12.21%, see rank8.79%12.47%
For Rent248, 5.33%, see rank2.14%2.50%
For Sale Only57, 1.23%, see rank1.12%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.80%0.91%
For Seasonal, Recreational, or Occasional Use36, 0.77%, see rank2.49%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant227, 4.88%, 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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