21034 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 21034 Zip Code | Maryland | U.S. |
| Occupied Units Paying Rent | 146, 100% | 682,566 | 39,201,928 |
| $199 or Less | 10, 6.85%, see rank | 1.63% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 2.77% | 3.18% |
| $300 to $499 | 7, 4.79%, see rank | 3.76% | 7.37% |
| $500 to $699 | 14, 9.59%, see rank | 5.52% | 16.01% |
| $700 to $999 | 57, 39.04%, see rank | 18.21% | 29.17% |
| $1,000 to $1,499 | 27, 18.49%, see rank | 37.53% | 26.88% |
| $1,500 to $1,999 | 31, 21.23%, see rank | 19.46% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 11.13% | 6.10% |
| Median | $932, see rank | $1,218 | $920 |
ACS 2008-2012 data
| Monthly Rental | 21034 Zip Code | Maryland | U.S. |
| Occupied Units Paying Rent | 168, 100% | 657,078 | 37,562,111 |
| $199 or Less | 12, 7.14%, see rank | 2.03% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 2.62% | 3.29% |
| $300 to $499 | 8, 4.76%, see rank | 3.96% | 8.20% |
| $500 to $699 | 18, 10.71%, see rank | 6.23% | 17.39% |
| $700 to $999 | 57, 33.93%, see rank | 20.52% | 29.40% |
| $1,000 to $1,499 | 40, 23.81%, see rank | 38.02% | 25.73% |
| $1,500 to $1,999 | 33, 19.64%, see rank | 17.17% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 9.46% | 5.30% |
| Median | $939, see rank | $1,172 | $889 |
US Census 2000 data
| Monthly Rental | 21034 Zip Code | Maryland | U.S. |
| Occupied Units Paying Rent | 206, 100% | 605,225 | 33,386,326 |
| $199 or Less | 6, 2.91%, see rank | 5.32% | 5.52% |
| $200 to $299 | 10, 4.85%, see rank | 3.80% | 5.45% |
| $300 to $499 | 87, 42.23%, see rank | 14.85% | 23.18% |
| $500 to $699 | 54, 26.21%, see rank | 27.64% | 29.57% |
| $700 to $999 | 49, 23.79%, see rank | 32.78% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, 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 | $500, 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.
