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94531 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 94531 Zip CodeCaliforniaU.S.
Total Housing Units12,595, see rank, 100%13,781,929132,741,033
Occupied Housing Units11,799, 93.68%, see rank91.55%87.55%
Owner Occupied8,064, 64.03%, see rank50.13%56.34%
Renter Occupied3,735, 29.65%, see rank41.42%31.21%
Vacant Housing Units796, 6.32%, see rank8.45%12.45%
For Rent393, 3.12%, see rank2.00%2.34%
For Sale Only132, 1.05%, see rank0.83%1.20%
Rented or Sold, Not Occupied119, 0.94%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use32, 0.25%, see rank2.61%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant120, 0.95%, see rank2.21%4.00%

US Census 2010 data

 94531 Zip CodeCaliforniaU.S.
Total Housing Units12,494, see rank, 100%13,680,081131,704,730
Occupied Housing Units11,639, 93.16%, see rank91.94%88.62%
Owner Occupied8,934, 71.51%, see rank51.43%57.69%
Renter Occupied2,705, 21.65%, see rank40.51%30.93%
Vacant Housing Units855, 6.84%, see rank8.06%11.38%
For Rent233, 1.86%, see rank2.74%3.14%
For Sale Only237, 1.90%, see rank1.13%1.44%
Rented or Sold, Not Occupied61, 0.49%, see rank0.40%0.48%
For Seasonal, Recreational, or Occasional Use44, 0.35%, see rank2.21%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant280, 2.24%, see rank1.56%2.77%

ACS 2008-2012 data

 94531 Zip CodeCaliforniaU.S.
Total Housing Units12,495, see rank, 100%13,667,226131,642,457
Occupied Housing Units11,425, 91.44%, see rank91.21%87.53%
Owner Occupied8,428, 67.45%, see rank51.06%57.34%
Renter Occupied2,997, 23.99%, see rank40.15%30.19%
Vacant Housing Units1,070, 8.56%, see rank8.79%12.47%
For Rent283, 2.26%, see rank2.14%2.50%
For Sale Only425, 3.40%, see rank1.12%1.38%
Rented or Sold, Not Occupied188, 1.50%, see rank0.80%0.91%
For Seasonal, Recreational, or Occasional Use35, 0.28%, see rank2.49%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant139, 1.11%, 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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