Runnells, IA Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Runnells, IA | Iowa | U.S. |
Occupied Housing Units | 208, 100% | 1,232,228 | 116,211,092 |
No Vehicles Available | 6, 2.88%, see rank | 5.69% | 9.12% |
1 Vehicles Available | 55, 26.44%, see rank | 30.25% | 33.80% |
2 Vehicles Available | 77, 37.02%, see rank | 39.60% | 37.48% |
3 or More Vehicles Available | 70, 33.65%, see rank | 24.45% | 19.61% |
ACS 2008-2012 data
| Runnells, IA | Iowa | U.S. |
Occupied Housing Units | 200, 100% | 1,223,509 | 115,226,802 |
No Vehicles Available | 8, 4.00%, see rank | 5.85% | 9.03% |
1 Vehicles Available | 49, 24.50%, see rank | 29.94% | 33.67% |
2 Vehicles Available | 55, 27.50%, see rank | 39.61% | 37.64% |
3 or More Vehicles Available | 88, 44.00%, see rank | 24.60% | 19.66% |
ACS 2006-2010 data
| Runnells, IA | Iowa | U.S. |
Occupied Housing Units | 194, 100% | 1,215,954 | 114,235,996 |
No Vehicles Available | 4, 2.06%, see rank | 5.71% | 8.85% |
1 Vehicles Available | 40, 20.62%, see rank | 29.69% | 33.28% |
2 Vehicles Available | 69, 35.57%, see rank | 39.67% | 37.87% |
3 or More Vehicles Available | 81, 41.75%, see rank | 24.93% | 20.00% |
ACS 2005-2009 data
| Runnells, IA | Iowa | U.S. |
Occupied Housing Units | 262, 100% | 1,215,970 | 112,611,029 |
No Vehicles Available | 4, 1.53%, see rank | 5.52% | 8.80% |
1 Vehicles Available | 145, 55.34%, see rank | 29.46% | 33.21% |
2 Vehicles Available | 67, 25.57%, see rank | 39.85% | 37.98% |
3 or More Vehicles Available | 46, 17.56%, see rank | 25.17% | 20.01% |
US Census 2000 data
| Runnells, IA | Iowa | U.S. |
Occupied Housing Units | 146, 100% | 1,149,276 | 105,480,101 |
No Vehicles Available | 15, 10.27%, see rank | 6.41% | 10.30% |
1 Vehicles Available | 37, 25.34%, see rank | 30.53% | 34.25% |
2 Vehicles Available | 62, 42.47%, see rank | 40.41% | 38.36% |
3 or More Vehicles Available | 32, 21.92%, see rank | 22.65% | 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.