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07069 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 07069 Zip CodeNew JerseyU.S.
Total Housing Units2,316, see rank, 100%3,572,138132,741,033
Occupied Housing Units2,159, 93.22%, see rank89.26%87.55%
Owner Occupied1,834, 79.19%, see rank58.06%56.34%
Renter Occupied325, 14.03%, see rank31.20%31.21%
Vacant Housing Units157, 6.78%, see rank10.74%12.45%
For Rent0, 0.00%, see rank2.18%2.34%
For Sale Only32, 1.38%, see rank1.02%1.20%
Rented or Sold, Not Occupied36, 1.55%, see rank0.70%0.92%
For Seasonal, Recreational, or Occasional Use43, 1.86%, see rank3.72%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant46, 1.99%, see rank3.11%4.00%

US Census 2010 data

 07069 Zip CodeNew JerseyU.S.
Total Housing Units2,378, see rank, 100%3,553,562131,704,730
Occupied Housing Units2,246, 94.45%, see rank90.45%88.62%
Owner Occupied1,799, 75.65%, see rank59.17%57.69%
Renter Occupied447, 18.80%, see rank31.29%30.93%
Vacant Housing Units132, 5.55%, see rank9.55%11.38%
For Rent34, 1.43%, see rank2.59%3.14%
For Sale Only39, 1.64%, see rank1.10%1.44%
Rented or Sold, Not Occupied9, 0.38%, see rank0.36%0.48%
For Seasonal, Recreational, or Occasional Use27, 1.14%, see rank3.80%3.53%
For Migrant Workers0, 0.00%, see rank0.00%0.02%
Other Vacant23, 0.97%, see rank1.69%2.77%

ACS 2008-2012 data

 07069 Zip CodeNew JerseyU.S.
Total Housing Units2,526, see rank, 100%3,555,864131,642,457
Occupied Housing Units2,279, 90.22%, see rank89.62%87.53%
Owner Occupied2,031, 80.40%, see rank59.29%57.34%
Renter Occupied248, 9.82%, see rank30.34%30.19%
Vacant Housing Units247, 9.78%, see rank10.38%12.47%
For Rent40, 1.58%, see rank2.28%2.50%
For Sale Only42, 1.66%, see rank1.12%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.70%0.91%
For Seasonal, Recreational, or Occasional Use40, 1.58%, see rank3.63%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant125, 4.95%, see rank2.63%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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