Poplar, MT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Poplar, MT | Montana | U.S. |
Occupied Housing Units | 277, 100% | 407,797 | 116,211,092 |
No Vehicles Available | 27, 9.75%, see rank | 5.19% | 9.12% |
1 Vehicles Available | 138, 49.82%, see rank | 28.68% | 33.80% |
2 Vehicles Available | 82, 29.60%, see rank | 37.60% | 37.48% |
3 or More Vehicles Available | 30, 10.83%, see rank | 28.52% | 19.61% |
ACS 2008-2012 data
| Poplar, MT | Montana | U.S. |
Occupied Housing Units | 401, 100% | 405,508 | 115,226,802 |
No Vehicles Available | 63, 15.71%, see rank | 5.26% | 9.03% |
1 Vehicles Available | 250, 62.34%, see rank | 28.22% | 33.67% |
2 Vehicles Available | 62, 15.46%, see rank | 37.74% | 37.64% |
3 or More Vehicles Available | 26, 6.48%, see rank | 28.78% | 19.66% |
ACS 2006-2010 data
| Poplar, MT | Montana | U.S. |
Occupied Housing Units | 415, 100% | 401,328 | 114,235,996 |
No Vehicles Available | 72, 17.35%, see rank | 5.10% | 8.85% |
1 Vehicles Available | 244, 58.80%, see rank | 27.52% | 33.28% |
2 Vehicles Available | 70, 16.87%, see rank | 38.02% | 37.87% |
3 or More Vehicles Available | 29, 6.99%, see rank | 29.36% | 20.00% |
ACS 2005-2009 data
| Poplar, MT | Montana | U.S. |
Occupied Housing Units | 405, 100% | 372,947 | 112,611,029 |
No Vehicles Available | 64, 15.80%, see rank | 5.15% | 8.80% |
1 Vehicles Available | 236, 58.27%, see rank | 28.04% | 33.21% |
2 Vehicles Available | 77, 19.01%, see rank | 37.79% | 37.98% |
3 or More Vehicles Available | 28, 6.91%, see rank | 29.02% | 20.01% |
US Census 2000 data
| Poplar, MT | Montana | U.S. |
Occupied Housing Units | 332, 100% | 358,667 | 105,480,101 |
No Vehicles Available | 43, 12.95%, see rank | 6.08% | 10.30% |
1 Vehicles Available | 122, 36.75%, see rank | 29.89% | 34.25% |
2 Vehicles Available | 124, 37.35%, see rank | 38.87% | 38.36% |
3 or More Vehicles Available | 43, 12.95%, see rank | 25.16% | 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.