Chain Lake, WA Historical Commuting to Work Data
ACS 2010-2014 data
| | Chain Lake, WA | Washington | U.S. |
| Workers 16 Years and Over | 1,886, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,601, 84.89%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 109, 5.78%, see rank | 10.36% | 9.59% |
| Public Transportation | 33, 1.75%, see rank | 5.92% | 5.06% |
| Walked | 7, 0.37%, see rank | 3.49% | 2.78% |
| Other Means | 22, 1.17%, see rank | 2.11% | 1.79% |
| Worked at Home | 114, 6.04%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| Chain Lake, WA | 37.2 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Chain Lake, WA | Washington | U.S. |
| Workers 16 Years and Over | 1,993, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,715, 86.05%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 49, 2.46%, see rank | 11.05% | 10.03% |
| Public Transportation | 50, 2.51%, see rank | 5.66% | 4.98% |
| Walked | 37, 1.86%, see rank | 3.47% | 2.82% |
| Other Means | 48, 2.41%, see rank | 2.11% | 1.76% |
| Worked at Home | 94, 4.72%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| Chain Lake, WA | 36.1 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Chain Lake, WA | Washington | U.S. |
| Workers 16 Years and Over | 1,979, 100% | 3,093,824 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 1,661, 83.93%, see rank | 72.33% | 76.00% |
| Car, Truck, or Van—Carpooled | 128, 6.47%, see rank | 11.55% | 10.35% |
| Public Transportation | 28, 1.41%, see rank | 5.55% | 4.94% |
| Walked | 31, 1.57%, see rank | 3.48% | 2.85% |
| Other Means | 88, 4.45%, see rank | 2.03% | 1.72% |
| Worked at Home | 43, 2.17%, see rank | 5.07% | 4.14% |
Mean Travel Time to Work, see rank| Chain Lake, WA | 36.8 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.
