98589 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98589 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 3,430, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,697, 78.63%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 541, 15.77%, see rank | 10.36% | 9.59% |
| Public Transportation | 15, 0.44%, see rank | 5.92% | 5.06% |
| Walked | 19, 0.55%, see rank | 3.49% | 2.78% |
| Other Means | 16, 0.47%, see rank | 2.11% | 1.79% |
| Worked at Home | 142, 4.14%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98589 Zip Code | 32.1 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98589 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 3,049, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,218, 72.75%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 514, 16.86%, see rank | 11.05% | 10.03% |
| Public Transportation | 1, 0.03%, see rank | 5.66% | 4.98% |
| Walked | 107, 3.51%, see rank | 3.47% | 2.82% |
| Other Means | 47, 1.54%, see rank | 2.11% | 1.76% |
| Worked at Home | 162, 5.31%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98589 Zip Code | 30.7 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98589 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 2,948, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,472, 83.85%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 331, 11.23%, see rank | 12.84% | 12.19% |
| Public Transportation | 20, 0.68%, see rank | 4.89% | 4.73% |
| Walked | 60, 2.04%, see rank | 3.22% | 2.93% |
| Other Means | 14, 0.47%, see rank | 1.44% | 1.19% |
| Worked at Home | 51, 1.73%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98589 Zip Code | 27.7 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.
