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93314 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 93314 Zip CodeCaliforniaU.S.
Total Housing Units7,934, see rank, 100%13,781,929132,741,033
Occupied Housing Units7,451, 93.91%, see rank91.55%87.55%
Owner Occupied6,457, 81.38%, see rank50.13%56.34%
Renter Occupied994, 12.53%, see rank41.42%31.21%
Vacant Housing Units483, 6.09%, see rank8.45%12.45%
For Rent72, 0.91%, see rank2.00%2.34%
For Sale Only101, 1.27%, see rank0.83%1.20%
Rented or Sold, Not Occupied52, 0.66%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use81, 1.02%, see rank2.61%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant177, 2.23%, see rank2.21%4.00%

US Census 2010 data

 93314 Zip CodeCaliforniaU.S.
Total Housing Units7,515, see rank, 100%13,680,081131,704,730
Occupied Housing Units7,077, 94.17%, see rank91.94%88.62%
Owner Occupied6,118, 81.41%, see rank51.43%57.69%
Renter Occupied959, 12.76%, see rank40.51%30.93%
Vacant Housing Units438, 5.83%, see rank8.06%11.38%
For Rent98, 1.30%, see rank2.74%3.14%
For Sale Only148, 1.97%, see rank1.13%1.44%
Rented or Sold, Not Occupied28, 0.37%, see rank0.40%0.48%
For Seasonal, Recreational, or Occasional Use32, 0.43%, see rank2.21%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant132, 1.76%, see rank1.56%2.77%

ACS 2008-2012 data

 93314 Zip CodeCaliforniaU.S.
Total Housing Units7,552, see rank, 100%13,667,226131,642,457
Occupied Housing Units6,940, 91.90%, see rank91.21%87.53%
Owner Occupied6,030, 79.85%, see rank51.06%57.34%
Renter Occupied910, 12.05%, see rank40.15%30.19%
Vacant Housing Units612, 8.10%, see rank8.79%12.47%
For Rent27, 0.36%, see rank2.14%2.50%
For Sale Only132, 1.75%, see rank1.12%1.38%
Rented or Sold, Not Occupied57, 0.75%, see rank0.80%0.91%
For Seasonal, Recreational, or Occasional Use69, 0.91%, see rank2.49%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant327, 4.33%, 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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