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06461 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 06461 Zip CodeConnecticutU.S.
Total Housing Units5,614, see rank, 100%1,490,381132,741,033
Occupied Housing Units5,515, 98.24%, see rank91.00%87.55%
Owner Occupied4,964, 88.42%, see rank61.26%56.34%
Renter Occupied551, 9.81%, see rank29.73%31.21%
Vacant Housing Units99, 1.76%, see rank9.00%12.45%
For Rent0, 0.00%, see rank2.24%2.34%
For Sale Only36, 0.64%, see rank1.06%1.20%
Rented or Sold, Not Occupied17, 0.30%, see rank0.77%0.92%
For Seasonal, Recreational, or Occasional Use29, 0.52%, see rank1.99%3.97%
For Migrant Workers0, 0.00%, see rank0.00%0.03%
Other Vacant17, 0.30%, see rank2.94%4.00%

US Census 2010 data

 06461 Zip CodeConnecticutU.S.
Total Housing Units5,664, see rank, 100%1,487,891131,704,730
Occupied Housing Units5,468, 96.54%, see rank92.15%88.62%
Owner Occupied4,953, 87.45%, see rank62.19%57.69%
Renter Occupied515, 9.09%, see rank29.96%30.93%
Vacant Housing Units196, 3.46%, see rank7.85%11.38%
For Rent53, 0.94%, see rank2.69%3.14%
For Sale Only32, 0.56%, see rank1.05%1.44%
Rented or Sold, Not Occupied27, 0.48%, see rank0.38%0.48%
For Seasonal, Recreational, or Occasional Use35, 0.62%, see rank1.99%3.53%
For Migrant Workers0, 0.00%, see rank0.00%0.02%
Other Vacant49, 0.87%, see rank1.74%2.77%

ACS 2008-2012 data

 06461 Zip CodeConnecticutU.S.
Total Housing Units5,494, see rank, 100%1,485,445131,642,457
Occupied Housing Units5,389, 98.09%, see rank91.57%87.53%
Owner Occupied4,849, 88.26%, see rank62.58%57.34%
Renter Occupied540, 9.83%, see rank28.99%30.19%
Vacant Housing Units105, 1.91%, see rank8.43%12.47%
For Rent0, 0.00%, see rank2.29%2.50%
For Sale Only39, 0.71%, see rank1.00%1.38%
Rented or Sold, Not Occupied27, 0.49%, see rank0.72%0.91%
For Seasonal, Recreational, or Occasional Use19, 0.35%, see rank1.93%3.81%
For Migrant Workers0, 0.00%, see rank0.00%0.03%
Other Vacant20, 0.36%, 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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