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92010 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 92010 Zip CodeCaliforniaU.S.
Total Housing Units5,756, see rank, 100%13,781,929132,741,033
Occupied Housing Units5,595, 97.20%, see rank91.55%87.55%
Owner Occupied3,980, 69.15%, see rank50.13%56.34%
Renter Occupied1,615, 28.06%, see rank41.42%31.21%
Vacant Housing Units161, 2.80%, see rank8.45%12.45%
For Rent20, 0.35%, see rank2.00%2.34%
For Sale Only43, 0.75%, see rank0.83%1.20%
Rented or Sold, Not Occupied38, 0.66%, see rank0.78%0.92%
For Seasonal, Recreational, or Occasional Use31, 0.54%, see rank2.61%3.97%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant29, 0.50%, see rank2.21%4.00%

US Census 2010 data

 92010 Zip CodeCaliforniaU.S.
Total Housing Units5,711, see rank, 100%13,680,081131,704,730
Occupied Housing Units5,460, 95.60%, see rank91.94%88.62%
Owner Occupied3,896, 68.22%, see rank51.43%57.69%
Renter Occupied1,564, 27.39%, see rank40.51%30.93%
Vacant Housing Units251, 4.40%, see rank8.06%11.38%
For Rent80, 1.40%, see rank2.74%3.14%
For Sale Only52, 0.91%, see rank1.13%1.44%
Rented or Sold, Not Occupied20, 0.35%, see rank0.40%0.48%
For Seasonal, Recreational, or Occasional Use63, 1.10%, see rank2.21%3.53%
For Migrant Workers0, 0.00%, see rank0.02%0.02%
Other Vacant36, 0.63%, see rank1.56%2.77%

ACS 2008-2012 data

 92010 Zip CodeCaliforniaU.S.
Total Housing Units5,701, see rank, 100%13,667,226131,642,457
Occupied Housing Units5,503, 96.53%, see rank91.21%87.53%
Owner Occupied3,824, 67.08%, see rank51.06%57.34%
Renter Occupied1,679, 29.45%, see rank40.15%30.19%
Vacant Housing Units198, 3.47%, see rank8.79%12.47%
For Rent79, 1.39%, see rank2.14%2.50%
For Sale Only36, 0.63%, see rank1.12%1.38%
Rented or Sold, Not Occupied12, 0.21%, see rank0.80%0.91%
For Seasonal, Recreational, or Occasional Use43, 0.75%, see rank2.49%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant28, 0.49%, 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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