21915 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 21915 Zip Code | Maryland | U.S. |
| Occupied Units Paying Rent | 163, 100% | 682,566 | 39,201,928 |
| $199 or Less | 2, 1.23%, see rank | 1.63% | 1.50% |
| $200 to $299 | 19, 11.66%, see rank | 2.77% | 3.18% |
| $300 to $499 | 4, 2.45%, see rank | 3.76% | 7.37% |
| $500 to $699 | 38, 23.31%, see rank | 5.52% | 16.01% |
| $700 to $999 | 35, 21.47%, see rank | 18.21% | 29.17% |
| $1,000 to $1,499 | 58, 35.58%, see rank | 37.53% | 26.88% |
| $1,500 to $1,999 | 5, 3.07%, see rank | 19.46% | 9.79% |
| $2,000 or More | 2, 1.23%, see rank | 11.13% | 6.10% |
| Median | $817, see rank | $1,218 | $920 |
ACS 2008-2012 data
| Monthly Rental | 21915 Zip Code | Maryland | U.S. |
| Occupied Units Paying Rent | 166, 100% | 657,078 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 2.03% | 1.76% |
| $200 to $299 | 24, 14.46%, see rank | 2.62% | 3.29% |
| $300 to $499 | 28, 16.87%, see rank | 3.96% | 8.20% |
| $500 to $699 | 29, 17.47%, see rank | 6.23% | 17.39% |
| $700 to $999 | 48, 28.92%, see rank | 20.52% | 29.40% |
| $1,000 to $1,499 | 36, 21.69%, see rank | 38.02% | 25.73% |
| $1,500 to $1,999 | 1, 0.60%, see rank | 17.17% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 9.46% | 5.30% |
| Median | $708, see rank | $1,172 | $889 |
US Census 2000 data
| Monthly Rental | 21915 Zip Code | Maryland | U.S. |
| Occupied Units Paying Rent | 186, 100% | 605,225 | 33,386,326 |
| $199 or Less | 24, 12.90%, see rank | 5.32% | 5.52% |
| $200 to $299 | 6, 3.23%, see rank | 3.80% | 5.45% |
| $300 to $499 | 36, 19.35%, see rank | 14.85% | 23.18% |
| $500 to $699 | 76, 40.86%, see rank | 27.64% | 29.57% |
| $700 to $999 | 36, 19.35%, see rank | 32.78% | 24.06% |
| $1,000 to $1,499 | 8, 4.30%, see rank | 12.41% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.14% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
| Median | $545, see rank | $689 | $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.
