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72019 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 72019 Zip CodeArkansasU.S.
Total Housing Units9,554, see rank, 100%1,329,139132,741,033
Occupied Housing Units8,837, 92.50%, see rank85.20%87.55%
Owner Occupied7,213, 75.50%, see rank56.70%56.34%
Renter Occupied1,624, 17.00%, see rank28.50%31.21%
Vacant Housing Units717, 7.50%, see rank14.80%12.45%
For Rent92, 0.96%, see rank3.08%2.34%
For Sale Only183, 1.92%, see rank1.47%1.20%
Rented or Sold, Not Occupied30, 0.31%, see rank1.34%0.92%
For Seasonal, Recreational, or Occasional Use100, 1.05%, see rank3.77%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant312, 3.27%, see rank5.11%4.00%

US Census 2010 data

 72019 Zip CodeArkansasU.S.
Total Housing Units9,391, see rank, 100%1,316,299131,704,730
Occupied Housing Units8,874, 94.49%, see rank87.14%88.62%
Owner Occupied7,157, 76.21%, see rank58.36%57.69%
Renter Occupied1,717, 18.28%, see rank28.79%30.93%
Vacant Housing Units517, 5.51%, see rank12.86%11.38%
For Rent91, 0.97%, see rank3.53%3.14%
For Sale Only167, 1.78%, see rank1.41%1.44%
Rented or Sold, Not Occupied39, 0.42%, see rank0.54%0.48%
For Seasonal, Recreational, or Occasional Use42, 0.45%, see rank2.90%3.53%
For Migrant Workers0, 0.00%, see rank0.03%0.02%
Other Vacant178, 1.90%, see rank4.45%2.77%

ACS 2008-2012 data

 72019 Zip CodeArkansasU.S.
Total Housing Units9,637, see rank, 100%1,316,874131,642,457
Occupied Housing Units9,074, 94.16%, see rank85.72%87.53%
Owner Occupied7,436, 77.16%, see rank57.62%57.34%
Renter Occupied1,638, 17.00%, see rank28.10%30.19%
Vacant Housing Units563, 5.84%, see rank14.28%12.47%
For Rent29, 0.30%, see rank3.10%2.50%
For Sale Only114, 1.18%, see rank1.43%1.38%
Rented or Sold, Not Occupied35, 0.36%, see rank1.36%0.91%
For Seasonal, Recreational, or Occasional Use67, 0.70%, see rank3.53%3.81%
For Migrant Workers0, 0.00%, see rank0.02%0.03%
Other Vacant318, 3.30%, see rank4.84%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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