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03245 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 03245 Zip CodeNew HampshireU.S.
Total Housing Units1,512, see rank, 100%617,286132,741,033
Occupied Housing Units801, 52.98%, see rank84.17%87.55%
Owner Occupied643, 42.53%, see rank59.80%56.34%
Renter Occupied158, 10.45%, see rank24.37%31.21%
Vacant Housing Units711, 47.02%, see rank15.83%12.45%
For Rent29, 1.92%, see rank1.29%2.34%
For Sale Only51, 3.37%, see rank0.87%1.20%
Rented or Sold, Not Occupied18, 1.19%, see rank0.60%0.92%
For Seasonal, Recreational, or Occasional Use565, 37.37%, see rank10.52%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant48, 3.17%, see rank2.55%4.00%

US Census 2010 data

 03245 Zip CodeNew HampshireU.S.
Total Housing Units1,498, see rank, 100%614,754131,704,730
Occupied Housing Units848, 56.61%, see rank84.42%88.62%
Owner Occupied677, 45.19%, see rank59.91%57.69%
Renter Occupied171, 11.42%, see rank24.51%30.93%
Vacant Housing Units650, 43.39%, see rank15.58%11.38%
For Rent37, 2.47%, see rank2.16%3.14%
For Sale Only12, 0.80%, see rank1.22%1.44%
Rented or Sold, Not Occupied1, 0.07%, see rank0.35%0.48%
For Seasonal, Recreational, or Occasional Use568, 37.92%, see rank10.40%3.53%
For Migrant Workers0, 0.00%, see rank0.00%0.02%
Other Vacant32, 2.14%, see rank1.44%2.77%

ACS 2008-2012 data

 03245 Zip CodeNew HampshireU.S.
Total Housing Units1,617, see rank, 100%613,995131,642,457
Occupied Housing Units746, 46.13%, see rank84.18%87.53%
Owner Occupied600, 37.11%, see rank60.59%57.34%
Renter Occupied146, 9.03%, see rank23.59%30.19%
Vacant Housing Units871, 53.87%, see rank15.82%12.47%
For Rent15, 0.93%, see rank1.41%2.50%
For Sale Only55, 3.40%, see rank1.00%1.38%
Rented or Sold, Not Occupied17, 1.05%, see rank0.60%0.91%
For Seasonal, Recreational, or Occasional Use761, 47.06%, see rank10.45%3.81%
For Migrant Workers0, 0.00%, see rank0.00%0.03%
Other Vacant23, 1.42%, 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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