Point Roberts, WA Historical Commuting to Work Data
ACS 2010-2014 data
| | Point Roberts, WA | Washington | U.S. |
| Workers 16 Years and Over | 645, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 468, 72.56%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 47, 7.29%, see rank | 10.36% | 9.59% |
| Public Transportation | 20, 3.10%, see rank | 5.92% | 5.06% |
| Walked | 19, 2.95%, see rank | 3.49% | 2.78% |
| Other Means | 41, 6.36%, see rank | 2.11% | 1.79% |
| Worked at Home | 50, 7.75%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| Point Roberts, WA | 19.1 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Point Roberts, WA | Washington | U.S. |
| Workers 16 Years and Over | 633, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 464, 73.30%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 41, 6.48%, see rank | 11.05% | 10.03% |
| Public Transportation | 14, 2.21%, see rank | 5.66% | 4.98% |
| Walked | 15, 2.37%, see rank | 3.47% | 2.82% |
| Other Means | 19, 3.00%, see rank | 2.11% | 1.76% |
| Worked at Home | 80, 12.64%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| Point Roberts, WA | 24.2 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Point Roberts, WA | Washington | U.S. |
| Workers 16 Years and Over | 509, 100% | 3,093,824 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 349, 68.57%, see rank | 72.33% | 76.00% |
| Car, Truck, or Van—Carpooled | 24, 4.72%, see rank | 11.55% | 10.35% |
| Public Transportation | 11, 2.16%, see rank | 5.55% | 4.94% |
| Walked | 18, 3.54%, see rank | 3.48% | 2.85% |
| Other Means | 4, 0.79%, see rank | 2.03% | 1.72% |
| Worked at Home | 103, 20.24%, see rank | 5.07% | 4.14% |
Mean Travel Time to Work, see rank| Point Roberts, WA | 37.6 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.
