98249 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98249 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 1,964, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,317, 67.06%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 237, 12.07%, see rank | 10.36% | 9.59% |
| Public Transportation | 131, 6.67%, see rank | 5.92% | 5.06% |
| Walked | 48, 2.44%, see rank | 3.49% | 2.78% |
| Other Means | 81, 4.12%, see rank | 2.11% | 1.79% |
| Worked at Home | 150, 7.64%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98249 Zip Code | 37.2 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98249 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 1,843, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,257, 68.20%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 240, 13.02%, see rank | 11.05% | 10.03% |
| Public Transportation | 139, 7.54%, see rank | 5.66% | 4.98% |
| Walked | 35, 1.90%, see rank | 3.47% | 2.82% |
| Other Means | 42, 2.28%, see rank | 2.11% | 1.76% |
| Worked at Home | 130, 7.05%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98249 Zip Code | 37.0 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98249 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 1,571, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,083, 68.94%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 180, 11.46%, see rank | 12.84% | 12.19% |
| Public Transportation | 117, 7.45%, see rank | 4.89% | 4.73% |
| Walked | 86, 5.47%, see rank | 3.22% | 2.93% |
| Other Means | 5, 0.32%, see rank | 1.44% | 1.19% |
| Worked at Home | 100, 6.37%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98249 Zip Code | 39.8 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.
