25311 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 25311 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 2,017, 100% | 168,111 | 39,201,928 |
$199 or Less | 150, 7.44%, see rank | 3.21% | 1.50% |
$200 to $299 | 217, 10.76%, see rank | 6.58% | 3.18% |
$300 to $499 | 383, 18.99%, see rank | 18.98% | 7.37% |
$500 to $699 | 361, 17.90%, see rank | 32.07% | 16.01% |
$700 to $999 | 636, 31.53%, see rank | 27.23% | 29.17% |
$1,000 to $1,499 | 192, 9.52%, see rank | 9.95% | 26.88% |
$1,500 to $1,999 | 15, 0.74%, see rank | 1.35% | 9.79% |
$2,000 or More | 63, 3.12%, see rank | 0.62% | 6.10% |
Median | $641, see rank | $630 | $920 |
ACS 2008-2012 data
Monthly Rental | 25311 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,946, 100% | 164,146 | 37,562,111 |
$199 or Less | 139, 7.14%, see rank | 4.25% | 1.76% |
$200 to $299 | 139, 7.14%, see rank | 6.85% | 3.29% |
$300 to $499 | 364, 18.71%, see rank | 22.67% | 8.20% |
$500 to $699 | 601, 30.88%, see rank | 32.93% | 17.39% |
$700 to $999 | 526, 27.03%, see rank | 23.73% | 29.40% |
$1,000 to $1,499 | 129, 6.63%, see rank | 8.03% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.98% | 8.92% |
$2,000 or More | 48, 2.47%, see rank | 0.55% | 5.30% |
Median | $613, see rank | $594 | $889 |
US Census 2000 data
Monthly Rental | 25311 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 2,371, 100% | 151,280 | 33,386,326 |
$199 or Less | 461, 19.44%, see rank | 12.37% | 5.52% |
$200 to $299 | 288, 12.15%, see rank | 14.18% | 5.45% |
$300 to $499 | 903, 38.09%, see rank | 45.23% | 23.18% |
$500 to $699 | 495, 20.88%, see rank | 20.92% | 29.57% |
$700 to $999 | 199, 8.39%, see rank | 5.90% | 24.06% |
$1,000 to $1,499 | 25, 1.05%, see rank | 1.15% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.18% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.07% | 1.02% |
Median | $411, see rank | $401 | $602 |
* 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.