98596 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98596 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 2,591, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,141, 82.63%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 303, 11.69%, see rank | 10.36% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.92% | 5.06% |
| Walked | 74, 2.86%, see rank | 3.49% | 2.78% |
| Other Means | 3, 0.12%, see rank | 2.11% | 1.79% |
| Worked at Home | 70, 2.70%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98596 Zip Code | 30.0 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98596 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 | 2,375, 77.89%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 484, 15.87%, see rank | 11.05% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 5.66% | 4.98% |
| Walked | 44, 1.44%, see rank | 3.47% | 2.82% |
| Other Means | 0, 0.00%, see rank | 2.11% | 1.76% |
| Worked at Home | 146, 4.79%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98596 Zip Code | 32.3 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98596 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 2,543, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,009, 79.00%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 302, 11.88%, see rank | 12.84% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 4.89% | 4.73% |
| Walked | 52, 2.04%, see rank | 3.22% | 2.93% |
| Other Means | 36, 1.42%, see rank | 1.44% | 1.19% |
| Worked at Home | 144, 5.66%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98596 Zip Code | 29.1 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.
