Sarles, ND Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Sarles, ND | North Dakota | U.S. |
Occupied Housing Units | 8, 100% | 292,616 | 116,211,092 |
No Vehicles Available | 0, 0.00%, see rank | 5.53% | 9.12% |
1 Vehicles Available | 4, 50.00%, see rank | 28.78% | 33.80% |
2 Vehicles Available | 1, 12.50%, see rank | 37.84% | 37.48% |
3 or More Vehicles Available | 3, 37.50%, see rank | 27.85% | 19.61% |
ACS 2008-2012 data
| Sarles, ND | North Dakota | U.S. |
Occupied Housing Units | 9, 100% | 282,667 | 115,226,802 |
No Vehicles Available | 0, 0.00%, see rank | 5.37% | 9.03% |
1 Vehicles Available | 6, 66.67%, see rank | 29.28% | 33.67% |
2 Vehicles Available | 0, 0.00%, see rank | 37.67% | 37.64% |
3 or More Vehicles Available | 3, 33.33%, see rank | 27.68% | 19.66% |
ACS 2006-2010 data
| Sarles, ND | North Dakota | U.S. |
Occupied Housing Units | 9, 100% | 276,642 | 114,235,996 |
No Vehicles Available | 0, 0.00%, see rank | 5.38% | 8.85% |
1 Vehicles Available | 4, 44.44%, see rank | 29.45% | 33.28% |
2 Vehicles Available | 0, 0.00%, see rank | 37.55% | 37.87% |
3 or More Vehicles Available | 5, 55.56%, see rank | 27.61% | 20.00% |
ACS 2005-2009 data
| Sarles, ND | North Dakota | U.S. |
Occupied Housing Units | 14, 100% | 273,035 | 112,611,029 |
No Vehicles Available | 0, 0.00%, see rank | 5.13% | 8.80% |
1 Vehicles Available | 12, 85.71%, see rank | 29.07% | 33.21% |
2 Vehicles Available | 0, 0.00%, see rank | 37.85% | 37.98% |
3 or More Vehicles Available | 2, 14.29%, see rank | 27.95% | 20.01% |
US Census 2000 data
| Sarles, ND | North Dakota | U.S. |
Occupied Housing Units | 17, 100% | 257,152 | 105,480,101 |
No Vehicles Available | 0, 0.00%, see rank | 6.62% | 10.30% |
1 Vehicles Available | 11, 64.71%, see rank | 30.12% | 34.25% |
2 Vehicles Available | 4, 23.53%, see rank | 39.09% | 38.36% |
3 or More Vehicles Available | 2, 11.76%, see rank | 24.16% | 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.