98446 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98446 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 4,726, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,842, 81.29%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 463, 9.80%, see rank | 10.36% | 9.59% |
| Public Transportation | 67, 1.42%, see rank | 5.92% | 5.06% |
| Walked | 20, 0.42%, see rank | 3.49% | 2.78% |
| Other Means | 49, 1.04%, see rank | 2.11% | 1.79% |
| Worked at Home | 285, 6.03%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98446 Zip Code | 29.3 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98446 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 4,774, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,814, 79.89%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 454, 9.51%, see rank | 11.05% | 10.03% |
| Public Transportation | 139, 2.91%, see rank | 5.66% | 4.98% |
| Walked | 29, 0.61%, see rank | 3.47% | 2.82% |
| Other Means | 79, 1.65%, see rank | 2.11% | 1.76% |
| Worked at Home | 259, 5.43%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98446 Zip Code | 29.7 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98446 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 4,488, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,558, 79.28%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 596, 13.28%, see rank | 12.84% | 12.19% |
| Public Transportation | 48, 1.07%, see rank | 4.89% | 4.73% |
| Walked | 86, 1.92%, see rank | 3.22% | 2.93% |
| Other Means | 7, 0.16%, see rank | 1.44% | 1.19% |
| Worked at Home | 193, 4.30%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98446 Zip Code | 29.0 minutes |
| Washington | 25.1 minutes |
| U.S. | 25.1 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.
