98661 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98661 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 18,111, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,635, 75.29%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,132, 11.77%, see rank | 10.36% | 9.59% |
| Public Transportation | 672, 3.71%, see rank | 5.92% | 5.06% |
| Walked | 513, 2.83%, see rank | 3.49% | 2.78% |
| Other Means | 269, 1.49%, see rank | 2.11% | 1.79% |
| Worked at Home | 890, 4.91%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98661 Zip Code | 22.0 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98661 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 17,319, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,835, 74.11%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,552, 14.74%, see rank | 11.05% | 10.03% |
| Public Transportation | 501, 2.89%, see rank | 5.66% | 4.98% |
| Walked | 315, 1.82%, see rank | 3.47% | 2.82% |
| Other Means | 243, 1.40%, see rank | 2.11% | 1.76% |
| Worked at Home | 873, 5.04%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98661 Zip Code | 21.6 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98661 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 16,029, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,852, 73.94%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,414, 15.06%, see rank | 12.84% | 12.19% |
| Public Transportation | 877, 5.47%, see rank | 4.89% | 4.73% |
| Walked | 285, 1.78%, see rank | 3.22% | 2.93% |
| Other Means | 207, 1.29%, see rank | 1.44% | 1.19% |
| Worked at Home | 394, 2.46%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98661 Zip Code | 21.4 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.
