Whidbey Island Station, WA Historical Commuting to Work Data
ACS 2010-2014 data
| Whidbey Island Station, WA | Washington | U.S. |
Workers 16 Years and Over | 1,666, 100% | 3,171,197 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 799, 47.96%, see rank | 72.72% | 76.41% |
Car, Truck, or Van—Carpooled | 19, 1.14%, see rank | 10.36% | 9.59% |
Public Transportation | 6, 0.36%, see rank | 5.92% | 5.06% |
Walked | 780, 46.82%, see rank | 3.49% | 2.78% |
Other Means | 0, 0.00%, see rank | 2.11% | 1.79% |
Worked at Home | 62, 3.72%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rankWhidbey Island Station, WA | 9.3 minutes |
Washington | 25.9 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| Whidbey Island Station, WA | Washington | U.S. |
Workers 16 Years and Over | 1,204, 100% | 3,127,950 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 553, 45.93%, see rank | 72.37% | 76.14% |
Car, Truck, or Van—Carpooled | 9, 0.75%, see rank | 11.05% | 10.03% |
Public Transportation | 6, 0.50%, see rank | 5.66% | 4.98% |
Walked | 605, 50.25%, see rank | 3.47% | 2.82% |
Other Means | 0, 0.00%, see rank | 2.11% | 1.76% |
Worked at Home | 31, 2.57%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rankWhidbey Island Station, WA | 8.9 minutes |
Washington | 25.5 minutes |
U.S. | 25.4 minutes |
ACS 2006-2010 data
| Whidbey Island Station, WA | Washington | U.S. |
Workers 16 Years and Over | 2,782, 100% | 3,093,824 | 139,255,035 |
Car, Truck, or Van—Drove Alone | 780, 28.04%, see rank | 72.33% | 76.00% |
Car, Truck, or Van—Carpooled | 62, 2.23%, see rank | 11.55% | 10.35% |
Public Transportation | 26, 0.93%, see rank | 5.55% | 4.94% |
Walked | 1,802, 64.77%, see rank | 3.48% | 2.85% |
Other Means | 28, 1.01%, see rank | 2.03% | 1.72% |
Worked at Home | 84, 3.02%, see rank | 5.07% | 4.14% |
Mean Travel Time to Work, see rankWhidbey Island Station, WA | 7.4 minutes |
Washington | 25.4 minutes |
U.S. | 25.3 minutes |
* 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.