98261 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98261 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 1,051, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 662, 62.99%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 62, 5.90%, see rank | 10.36% | 9.59% |
| Public Transportation | 66, 6.28%, see rank | 5.92% | 5.06% |
| Walked | 88, 8.37%, see rank | 3.49% | 2.78% |
| Other Means | 42, 4.00%, see rank | 2.11% | 1.79% |
| Worked at Home | 131, 12.46%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98261 Zip Code | 18.3 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98261 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 971, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 554, 57.05%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 62, 6.39%, see rank | 11.05% | 10.03% |
| Public Transportation | 78, 8.03%, see rank | 5.66% | 4.98% |
| Walked | 82, 8.44%, see rank | 3.47% | 2.82% |
| Other Means | 38, 3.91%, see rank | 2.11% | 1.76% |
| Worked at Home | 157, 16.17%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98261 Zip Code | 19.4 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98261 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 1,022, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 666, 65.17%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 72, 7.05%, see rank | 12.84% | 12.19% |
| Public Transportation | 43, 4.21%, see rank | 4.89% | 4.73% |
| Walked | 57, 5.58%, see rank | 3.22% | 2.93% |
| Other Means | 21, 2.05%, see rank | 1.44% | 1.19% |
| Worked at Home | 163, 15.95%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98261 Zip Code | 16.7 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.
