98930 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98930 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 5,969, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,512, 75.59%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,152, 19.30%, see rank | 10.36% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.92% | 5.06% |
| Walked | 33, 0.55%, see rank | 3.49% | 2.78% |
| Other Means | 25, 0.42%, see rank | 2.11% | 1.79% |
| Worked at Home | 247, 4.14%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98930 Zip Code | 22.3 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98930 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 5,668, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,325, 76.31%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 829, 14.63%, see rank | 11.05% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 5.66% | 4.98% |
| Walked | 73, 1.29%, see rank | 3.47% | 2.82% |
| Other Means | 34, 0.60%, see rank | 2.11% | 1.76% |
| Worked at Home | 407, 7.18%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98930 Zip Code | 21.4 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98930 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 4,860, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,617, 74.42%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 714, 14.69%, see rank | 12.84% | 12.19% |
| Public Transportation | 44, 0.91%, see rank | 4.89% | 4.73% |
| Walked | 113, 2.33%, see rank | 3.22% | 2.93% |
| Other Means | 41, 0.84%, see rank | 1.44% | 1.19% |
| Worked at Home | 331, 6.81%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98930 Zip Code | 20.0 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.
