98065 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 98065 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 6,531, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,962, 75.98%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 716, 10.96%, see rank | 10.36% | 9.59% |
| Public Transportation | 222, 3.40%, see rank | 5.92% | 5.06% |
| Walked | 59, 0.90%, see rank | 3.49% | 2.78% |
| Other Means | 66, 1.01%, see rank | 2.11% | 1.79% |
| Worked at Home | 506, 7.75%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 98065 Zip Code | 32.8 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 98065 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 6,161, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,615, 74.91%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 803, 13.03%, see rank | 11.05% | 10.03% |
| Public Transportation | 179, 2.91%, see rank | 5.66% | 4.98% |
| Walked | 76, 1.23%, see rank | 3.47% | 2.82% |
| Other Means | 55, 0.89%, see rank | 2.11% | 1.76% |
| Worked at Home | 433, 7.03%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 98065 Zip Code | 32.4 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 98065 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 1,879, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,443, 76.80%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 199, 10.59%, see rank | 12.84% | 12.19% |
| Public Transportation | 45, 2.39%, see rank | 4.89% | 4.73% |
| Walked | 45, 2.39%, see rank | 3.22% | 2.93% |
| Other Means | 6, 0.32%, see rank | 1.44% | 1.19% |
| Worked at Home | 141, 7.50%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 98065 Zip Code | 29.5 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.
