97225 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 97225 Zip Code | Oregon | U.S. |
| Workers 16 Years and Over | 14,143, 100% | 1,715,236 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,002, 70.72%, see rank | 71.39% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,515, 10.71%, see rank | 10.43% | 9.59% |
| Public Transportation | 948, 6.70%, see rank | 4.32% | 5.06% |
| Walked | 519, 3.67%, see rank | 4.08% | 2.78% |
| Other Means | 287, 2.03%, see rank | 3.43% | 1.79% |
| Worked at Home | 872, 6.17%, see rank | 6.35% | 4.37% |
Mean Travel Time to Work, see rank| 97225 Zip Code | 21.6 minutes |
| Oregon | 22.4 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 97225 Zip Code | Oregon | U.S. |
| Workers 16 Years and Over | 13,446, 100% | 1,705,593 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,385, 69.80%, see rank | 71.70% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,266, 9.42%, see rank | 10.37% | 10.03% |
| Public Transportation | 1,049, 7.80%, see rank | 4.22% | 4.98% |
| Walked | 752, 5.59%, see rank | 4.06% | 2.82% |
| Other Means | 181, 1.35%, see rank | 3.31% | 1.76% |
| Worked at Home | 813, 6.05%, see rank | 6.33% | 4.27% |
Mean Travel Time to Work, see rank| 97225 Zip Code | 21.1 minutes |
| Oregon | 22.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 97225 Zip Code | Oregon | U.S. |
| Workers 16 Years and Over | 11,521, 100% | 1,601,378 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,690, 75.43%, see rank | 73.16% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,000, 8.68%, see rank | 12.24% | 12.19% |
| Public Transportation | 824, 7.15%, see rank | 4.17% | 4.73% |
| Walked | 178, 1.55%, see rank | 3.57% | 2.93% |
| Other Means | 85, 0.74%, see rank | 1.87% | 1.19% |
| Worked at Home | 744, 6.46%, see rank | 4.98% | 3.26% |
Mean Travel Time to Work, see rank| 97225 Zip Code | 20.5 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.
