99022 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 99022 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 3,665, 100% | 3,171,197 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,871, 78.34%, see rank | 72.72% | 76.41% |
| Car, Truck, or Van—Carpooled | 562, 15.33%, see rank | 10.36% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.92% | 5.06% |
| Walked | 91, 2.48%, see rank | 3.49% | 2.78% |
| Other Means | 47, 1.28%, see rank | 2.11% | 1.79% |
| Worked at Home | 94, 2.56%, see rank | 5.40% | 4.37% |
Mean Travel Time to Work, see rank| 99022 Zip Code | 23.1 minutes |
| Washington | 25.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 99022 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 3,540, 100% | 3,127,950 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,786, 78.70%, see rank | 72.37% | 76.14% |
| Car, Truck, or Van—Carpooled | 498, 14.07%, see rank | 11.05% | 10.03% |
| Public Transportation | 47, 1.33%, see rank | 5.66% | 4.98% |
| Walked | 57, 1.61%, see rank | 3.47% | 2.82% |
| Other Means | 36, 1.02%, see rank | 2.11% | 1.76% |
| Worked at Home | 116, 3.28%, see rank | 5.33% | 4.27% |
Mean Travel Time to Work, see rank| 99022 Zip Code | 22.2 minutes |
| Washington | 25.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 99022 Zip Code | Washington | U.S. |
| Workers 16 Years and Over | 3,151, 100% | 2,785,479 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,405, 76.32%, see rank | 73.27% | 75.70% |
| Car, Truck, or Van—Carpooled | 431, 13.68%, see rank | 12.84% | 12.19% |
| Public Transportation | 83, 2.63%, see rank | 4.89% | 4.73% |
| Walked | 64, 2.03%, see rank | 3.22% | 2.93% |
| Other Means | 44, 1.40%, see rank | 1.44% | 1.19% |
| Worked at Home | 124, 3.94%, see rank | 4.34% | 3.26% |
Mean Travel Time to Work, see rank| 99022 Zip Code | 21.5 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.
