97229 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 97229 Zip Code | Oregon | U.S. |
| Workers 16 Years and Over | 28,836, 100% | 1,715,236 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 22,365, 77.56%, see rank | 71.39% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,525, 8.76%, see rank | 10.43% | 9.59% |
| Public Transportation | 931, 3.23%, see rank | 4.32% | 5.06% |
| Walked | 723, 2.51%, see rank | 4.08% | 2.78% |
| Other Means | 710, 2.46%, see rank | 3.43% | 1.79% |
| Worked at Home | 1,582, 5.49%, see rank | 6.35% | 4.37% |
Mean Travel Time to Work, see rank| 97229 Zip Code | 22.2 minutes |
| Oregon | 22.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 97229 Zip Code | Oregon | U.S. |
| Workers 16 Years and Over | 27,775, 100% | 1,705,593 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 21,466, 77.29%, see rank | 71.70% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,534, 9.12%, see rank | 10.37% | 10.03% |
| Public Transportation | 913, 3.29%, see rank | 4.22% | 4.98% |
| Walked | 535, 1.93%, see rank | 4.06% | 2.82% |
| Other Means | 777, 2.80%, see rank | 3.31% | 1.76% |
| Worked at Home | 1,550, 5.58%, see rank | 6.33% | 4.27% |
Mean Travel Time to Work, see rank| 97229 Zip Code | 22.7 minutes |
| Oregon | 22.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 97229 Zip Code | Oregon | U.S. |
| Workers 16 Years and Over | 22,088, 100% | 1,601,378 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 17,480, 79.14%, see rank | 73.16% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,689, 7.65%, see rank | 12.24% | 12.19% |
| Public Transportation | 1,048, 4.74%, see rank | 4.17% | 4.73% |
| Walked | 410, 1.86%, see rank | 3.57% | 2.93% |
| Other Means | 239, 1.08%, see rank | 1.87% | 1.19% |
| Worked at Home | 1,222, 5.53%, see rank | 4.98% | 3.26% |
Mean Travel Time to Work, see rank| 97229 Zip Code | 23.0 minutes |
| Oregon | 21.7 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.
