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06890 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 06890 Zip CodeConnecticutU.S.
Total Housing Units1,706, see rank, 100%1,490,381132,741,033
Occupied Housing Units1,566, 91.79%, see rank91.00%87.55%
Owner Occupied1,354, 79.37%, see rank61.26%56.34%
Renter Occupied212, 12.43%, see rank29.73%31.21%
Vacant Housing Units140, 8.21%, see rank9.00%12.45%
For Rent0, 0.00%, see rank2.24%2.34%
For Sale Only68, 3.99%, see rank1.06%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.77%0.92%
For Seasonal, Recreational, or Occasional Use26, 1.52%, see rank1.99%3.97%
For Migrant Workers0, 0.00%, see rank0.00%0.03%
Other Vacant46, 2.70%, see rank2.94%4.00%

US Census 2010 data

 06890 Zip CodeConnecticutU.S.
Total Housing Units1,731, see rank, 100%1,487,891131,704,730
Occupied Housing Units1,571, 90.76%, see rank92.15%88.62%
Owner Occupied1,330, 76.83%, see rank62.19%57.69%
Renter Occupied241, 13.92%, see rank29.96%30.93%
Vacant Housing Units160, 9.24%, see rank7.85%11.38%
For Rent33, 1.91%, see rank2.69%3.14%
For Sale Only21, 1.21%, see rank1.05%1.44%
Rented or Sold, Not Occupied10, 0.58%, see rank0.38%0.48%
For Seasonal, Recreational, or Occasional Use68, 3.93%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.00%0.02%
Other Vacant28, 1.62%, see rank1.74%2.77%

ACS 2008-2012 data

 06890 Zip CodeConnecticutU.S.
Total Housing Units1,696, see rank, 100%1,485,445131,642,457
Occupied Housing Units1,581, 93.22%, see rank91.57%87.53%
Owner Occupied1,429, 84.26%, see rank62.58%57.34%
Renter Occupied152, 8.96%, see rank28.99%30.19%
Vacant Housing Units115, 6.78%, see rank8.43%12.47%
For Rent0, 0.00%, see rank2.29%2.50%
For Sale Only65, 3.83%, see rank1.00%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.72%0.91%
For Seasonal, Recreational, or Occasional Use44, 2.59%, see rank1.93%3.81%
For Migrant Workers0, 0.00%, see rank0.00%0.03%
Other Vacant6, 0.35%, see rank2.49%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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