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21409 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 21409 Zip CodeMarylandU.S.
Total Housing Units7,757, see rank, 100%2,399,375132,741,033
Occupied Housing Units7,264, 93.64%, see rank89.86%87.55%
Owner Occupied6,317, 81.44%, see rank60.26%56.34%
Renter Occupied947, 12.21%, see rank29.60%31.21%
Vacant Housing Units493, 6.36%, see rank10.14%12.45%
For Rent67, 0.86%, see rank2.24%2.34%
For Sale Only144, 1.86%, see rank1.11%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.65%0.92%
For Seasonal, Recreational, or Occasional Use116, 1.50%, see rank2.35%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant166, 2.14%, see rank3.76%4.00%

US Census 2010 data

 21409 Zip CodeMarylandU.S.
Total Housing Units7,718, see rank, 100%2,378,814131,704,730
Occupied Housing Units7,319, 94.83%, see rank90.65%88.62%
Owner Occupied6,194, 80.25%, see rank61.20%57.69%
Renter Occupied1,125, 14.58%, see rank29.45%30.93%
Vacant Housing Units399, 5.17%, see rank9.35%11.38%
For Rent54, 0.70%, see rank2.60%3.14%
For Sale Only96, 1.24%, see rank1.38%1.44%
Rented or Sold, Not Occupied24, 0.31%, see rank0.43%0.48%
For Seasonal, Recreational, or Occasional Use118, 1.53%, see rank2.35%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant107, 1.39%, see rank2.58%2.77%

ACS 2008-2012 data

 21409 Zip CodeMarylandU.S.
Total Housing Units7,696, see rank, 100%2,378,932131,642,457
Occupied Housing Units7,145, 92.84%, see rank89.91%87.53%
Owner Occupied6,111, 79.40%, see rank61.22%57.34%
Renter Occupied1,034, 13.44%, see rank28.68%30.19%
Vacant Housing Units551, 7.16%, see rank10.09%12.47%
For Rent77, 1.00%, see rank2.40%2.50%
For Sale Only195, 2.53%, see rank1.25%1.38%
Rented or Sold, Not Occupied76, 0.99%, see rank0.66%0.91%
For Seasonal, Recreational, or Occasional Use60, 0.78%, see rank2.19%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant143, 1.86%, see rank3.56%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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