Monroe North, WA Historical Commuting to Work Data
ACS 2010-2014 data
| | Monroe North, WA | Washington | U.S. |
| Workers 16 Years and Over | 810, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 692, 85.43%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 26, 3.21%, see rank | 10.36% | 9.59% |
| Public Transportation | 26, 3.21%, see rank | 5.92% | 5.06% |
| Walked | 9, 1.11%, see rank | 3.49% | 2.78% |
| Other Means | 26, 3.21%, see rank | 2.11% | 1.79% |
| Worked at Home | 31, 3.83%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| Monroe North, WA | 37.0 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Monroe North, WA | Washington | U.S. |
| Workers 16 Years and Over | 947, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 890, 93.98%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 18, 1.90%, see rank | 11.05% | 10.03% |
| Public Transportation | 10, 1.06%, see rank | 5.66% | 4.98% |
| Walked | 8, 0.84%, see rank | 3.47% | 2.82% |
| Other Means | 0, 0.00%, see rank | 2.11% | 1.76% |
| Worked at Home | 21, 2.22%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| Monroe North, WA | 36.7 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Monroe North, WA | Washington | U.S. |
| Workers 16 Years and Over | 886, 100% | 3,093,824 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 863, 97.40%, see rank | 72.33% | 76.00% |
| Car, Truck, or Van—Carpooled | 10, 1.13%, see rank | 11.55% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 5.55% | 4.94% |
| Walked | 0, 0.00%, see rank | 3.48% | 2.85% |
| Other Means | 0, 0.00%, see rank | 2.03% | 1.72% |
| Worked at Home | 13, 1.47%, see rank | 5.07% | 4.14% |
Mean Travel Time to Work, see rank| Monroe North, WA | 39.3 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.
