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95391 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 95391 Zip CodeCaliforniaU.S.
Total Housing Units3,638, see rank, 100%13,781,929132,741,033
Occupied Housing Units3,534, 97.14%, see rank91.55%87.55%
Owner Occupied2,631, 72.32%, see rank50.13%56.34%
Renter Occupied903, 24.82%, see rank41.42%31.21%
Vacant Housing Units104, 2.86%, see rank8.45%12.45%
For Rent0, 0.00%, see rank2.00%2.34%
For Sale Only0, 0.00%, see rank0.83%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank2.61%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant104, 2.86%, see rank2.21%4.00%

US Census 2010 data

 95391 Zip CodeCaliforniaU.S.
Total Housing Units3,331, see rank, 100%13,680,081131,704,730
Occupied Housing Units2,891, 86.79%, see rank91.94%88.62%
Owner Occupied2,265, 68.00%, see rank51.43%57.69%
Renter Occupied626, 18.79%, see rank40.51%30.93%
Vacant Housing Units440, 13.21%, see rank8.06%11.38%
For Rent37, 1.11%, see rank2.74%3.14%
For Sale Only115, 3.45%, see rank1.13%1.44%
Rented or Sold, Not Occupied28, 0.84%, see rank0.40%0.48%
For Seasonal, Recreational, or Occasional Use21, 0.63%, see rank2.21%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant239, 7.18%, see rank1.56%2.77%

ACS 2008-2012 data

 95391 Zip CodeCaliforniaU.S.
Total Housing Units3,378, see rank, 100%13,667,226131,642,457
Occupied Housing Units2,970, 87.92%, see rank91.21%87.53%
Owner Occupied2,201, 65.16%, see rank51.06%57.34%
Renter Occupied769, 22.76%, see rank40.15%30.19%
Vacant Housing Units408, 12.08%, see rank8.79%12.47%
For Rent34, 1.01%, see rank2.14%2.50%
For Sale Only132, 3.91%, see rank1.12%1.38%
Rented or Sold, Not Occupied6, 0.18%, see rank0.80%0.91%
For Seasonal, Recreational, or Occasional Use69, 2.04%, see rank2.49%3.81%
For Migrant Workers36, 1.07%, see rank0.02%0.03%
Other Vacant131, 3.88%, 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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