Trappe, MD Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Trappe, MD | Maryland | U.S. |
Occupied Housing Units | 508, 100% | 2,155,983 | 116,211,092 |
No Vehicles Available | 23, 4.53%, see rank | 9.39% | 9.12% |
1 Vehicles Available | 148, 29.13%, see rank | 32.90% | 33.80% |
2 Vehicles Available | 227, 44.69%, see rank | 36.77% | 37.48% |
3 or More Vehicles Available | 110, 21.65%, see rank | 20.95% | 19.61% |
ACS 2008-2012 data
| Trappe, MD | Maryland | U.S. |
Occupied Housing Units | 462, 100% | 2,138,806 | 115,226,802 |
No Vehicles Available | 16, 3.46%, see rank | 9.39% | 9.03% |
1 Vehicles Available | 101, 21.86%, see rank | 32.56% | 33.67% |
2 Vehicles Available | 254, 54.98%, see rank | 36.88% | 37.64% |
3 or More Vehicles Available | 91, 19.70%, see rank | 21.17% | 19.66% |
ACS 2006-2010 data
| Trappe, MD | Maryland | U.S. |
Occupied Housing Units | 473, 100% | 2,121,047 | 114,235,996 |
No Vehicles Available | 13, 2.75%, see rank | 9.19% | 8.85% |
1 Vehicles Available | 124, 26.22%, see rank | 32.10% | 33.28% |
2 Vehicles Available | 215, 45.45%, see rank | 37.10% | 37.87% |
3 or More Vehicles Available | 121, 25.58%, see rank | 21.61% | 20.00% |
ACS 2005-2009 data
| Trappe, MD | Maryland | U.S. |
Occupied Housing Units | 475, 100% | 2,092,538 | 112,611,029 |
No Vehicles Available | 20, 4.21%, see rank | 9.08% | 8.80% |
1 Vehicles Available | 116, 24.42%, see rank | 32.09% | 33.21% |
2 Vehicles Available | 214, 45.05%, see rank | 37.15% | 37.98% |
3 or More Vehicles Available | 125, 26.32%, see rank | 21.69% | 20.01% |
US Census 2000 data
| Trappe, MD | Maryland | U.S. |
Occupied Housing Units | 421, 100% | 1,980,859 | 105,480,101 |
No Vehicles Available | 30, 7.13%, see rank | 11.23% | 10.30% |
1 Vehicles Available | 127, 30.17%, see rank | 33.43% | 34.25% |
2 Vehicles Available | 175, 41.57%, see rank | 37.67% | 38.36% |
3 or More Vehicles Available | 89, 21.14%, see rank | 17.67% | 17.10% |
* 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.