Plummer, ID Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Plummer, ID | Idaho | U.S. |
Occupied Housing Units | 366, 100% | 585,259 | 116,211,092 |
No Vehicles Available | 38, 10.38%, see rank | 4.57% | 9.12% |
1 Vehicles Available | 143, 39.07%, see rank | 27.69% | 33.80% |
2 Vehicles Available | 90, 24.59%, see rank | 39.70% | 37.48% |
3 or More Vehicles Available | 95, 25.96%, see rank | 28.04% | 19.61% |
ACS 2008-2012 data
| Plummer, ID | Idaho | U.S. |
Occupied Housing Units | 362, 100% | 577,648 | 115,226,802 |
No Vehicles Available | 9, 2.49%, see rank | 4.26% | 9.03% |
1 Vehicles Available | 133, 36.74%, see rank | 27.27% | 33.67% |
2 Vehicles Available | 104, 28.73%, see rank | 40.07% | 37.64% |
3 or More Vehicles Available | 116, 32.04%, see rank | 28.40% | 19.66% |
ACS 2006-2010 data
| Plummer, ID | Idaho | U.S. |
Occupied Housing Units | 350, 100% | 570,283 | 114,235,996 |
No Vehicles Available | 7, 2.00%, see rank | 3.93% | 8.85% |
1 Vehicles Available | 114, 32.57%, see rank | 26.51% | 33.28% |
2 Vehicles Available | 98, 28.00%, see rank | 40.58% | 37.87% |
3 or More Vehicles Available | 131, 37.43%, see rank | 28.99% | 20.00% |
ACS 2005-2009 data
| Plummer, ID | Idaho | U.S. |
Occupied Housing Units | 327, 100% | 552,726 | 112,611,029 |
No Vehicles Available | 12, 3.67%, see rank | 3.85% | 8.80% |
1 Vehicles Available | 86, 26.30%, see rank | 26.30% | 33.21% |
2 Vehicles Available | 123, 37.61%, see rank | 40.77% | 37.98% |
3 or More Vehicles Available | 106, 32.42%, see rank | 29.07% | 20.01% |
US Census 2000 data
| Plummer, ID | Idaho | U.S. |
Occupied Housing Units | 338, 100% | 469,645 | 105,480,101 |
No Vehicles Available | 23, 6.80%, see rank | 4.67% | 10.30% |
1 Vehicles Available | 106, 31.36%, see rank | 27.73% | 34.25% |
2 Vehicles Available | 130, 38.46%, see rank | 41.88% | 38.36% |
3 or More Vehicles Available | 79, 23.37%, see rank | 25.72% | 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.