03874 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 03874 Zip Code | New Hampshire | U.S. |
Occupied Units Paying Rent | 1,396, 100% | 144,061 | 39,201,928 |
$199 or Less | 28, 2.01%, see rank | 1.30% | 1.50% |
$200 to $299 | 29, 2.08%, see rank | 3.54% | 3.18% |
$300 to $499 | 56, 4.01%, see rank | 5.37% | 7.37% |
$500 to $699 | 132, 9.46%, see rank | 8.63% | 16.01% |
$700 to $999 | 640, 45.85%, see rank | 31.04% | 29.17% |
$1,000 to $1,499 | 200, 14.33%, see rank | 36.27% | 26.88% |
$1,500 to $1,999 | 291, 20.85%, see rank | 10.64% | 9.79% |
$2,000 or More | 20, 1.43%, see rank | 3.20% | 6.10% |
Median | $946, see rank | $1,001 | $920 |
ACS 2008-2012 data
Monthly Rental | 03874 Zip Code | New Hampshire | U.S. |
Occupied Units Paying Rent | 1,406, 100% | 138,184 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.69% | 1.76% |
$200 to $299 | 13, 0.92%, see rank | 3.66% | 3.29% |
$300 to $499 | 65, 4.62%, see rank | 5.71% | 8.20% |
$500 to $699 | 173, 12.30%, see rank | 9.79% | 17.39% |
$700 to $999 | 499, 35.49%, see rank | 32.64% | 29.40% |
$1,000 to $1,499 | 452, 32.15%, see rank | 34.41% | 25.73% |
$1,500 to $1,999 | 148, 10.53%, see rank | 9.01% | 8.92% |
$2,000 or More | 56, 3.98%, see rank | 3.09% | 5.30% |
Median | $981, see rank | $972 | $889 |
US Census 2000 data
Monthly Rental | 03874 Zip Code | New Hampshire | U.S. |
Occupied Units Paying Rent | 1,193, 100% | 135,480 | 33,386,326 |
$199 or Less | 10, 0.84%, see rank | 4.86% | 5.52% |
$200 to $299 | 10, 0.84%, see rank | 4.50% | 5.45% |
$300 to $499 | 99, 8.30%, see rank | 16.48% | 23.18% |
$500 to $699 | 514, 43.08%, see rank | 33.82% | 29.57% |
$700 to $999 | 489, 40.99%, see rank | 30.14% | 24.06% |
$1,000 to $1,499 | 63, 5.28%, see rank | 8.75% | 9.15% |
$1,500 to $1,999 | 8, 0.67%, see rank | 1.05% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.41% | 1.02% |
Median | $686, see rank | $646 | $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.