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03861 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 03861 Zip CodeNew HampshireU.S.
Total Housing Units1,899, see rank, 100%617,286132,741,033
Occupied Housing Units1,774, 93.42%, see rank84.17%87.55%
Owner Occupied1,487, 78.30%, see rank59.80%56.34%
Renter Occupied287, 15.11%, see rank24.37%31.21%
Vacant Housing Units125, 6.58%, see rank15.83%12.45%
For Rent80, 4.21%, see rank1.29%2.34%
For Sale Only45, 2.37%, see rank0.87%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.60%0.92%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank10.52%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant0, 0.00%, see rank2.55%4.00%

US Census 2010 data

 03861 Zip CodeNew HampshireU.S.
Total Housing Units1,765, see rank, 100%614,754131,704,730
Occupied Housing Units1,661, 94.11%, see rank84.42%88.62%
Owner Occupied1,294, 73.31%, see rank59.91%57.69%
Renter Occupied367, 20.79%, see rank24.51%30.93%
Vacant Housing Units104, 5.89%, see rank15.58%11.38%
For Rent31, 1.76%, see rank2.16%3.14%
For Sale Only18, 1.02%, see rank1.22%1.44%
Rented or Sold, Not Occupied2, 0.11%, see rank0.35%0.48%
For Seasonal, Recreational, or Occasional Use34, 1.93%, see rank10.40%3.53%
For Migrant Workers0, 0.00%, see rank0.00%0.02%
Other Vacant19, 1.08%, see rank1.44%2.77%

ACS 2008-2012 data

 03861 Zip CodeNew HampshireU.S.
Total Housing Units1,919, see rank, 100%613,995131,642,457
Occupied Housing Units1,773, 92.39%, see rank84.18%87.53%
Owner Occupied1,560, 81.29%, see rank60.59%57.34%
Renter Occupied213, 11.10%, see rank23.59%30.19%
Vacant Housing Units146, 7.61%, see rank15.82%12.47%
For Rent67, 3.49%, see rank1.41%2.50%
For Sale Only53, 2.76%, see rank1.00%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.60%0.91%
For Seasonal, Recreational, or Occasional Use26, 1.35%, see rank10.45%3.81%
For Migrant Workers0, 0.00%, see rank0.00%0.03%
Other Vacant0, 0.00%, see rank2.36%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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