95903 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 95903 Zip Code | California | U.S. |
| Workers 16 Years and Over | 930, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 565, 60.75%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 192, 20.65%, see rank | 11.10% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.20% | 5.06% |
| Walked | 160, 17.20%, see rank | 2.73% | 2.78% |
| Other Means | 4, 0.43%, see rank | 2.45% | 1.79% |
| Worked at Home | 9, 0.97%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 95903 Zip Code | 11.1 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 95903 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,082, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 631, 58.32%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 254, 23.48%, see rank | 11.53% | 10.03% |
| Public Transportation | 1, 0.09%, see rank | 5.15% | 4.98% |
| Walked | 133, 12.29%, see rank | 2.76% | 2.82% |
| Other Means | 15, 1.39%, see rank | 2.36% | 1.76% |
| Worked at Home | 48, 4.44%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 95903 Zip Code | 11.3 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 95903 Zip Code | California | U.S. |
| Workers 16 Years and Over | 2,813, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,186, 77.71%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 440, 15.64%, see rank | 14.55% | 12.19% |
| Public Transportation | 18, 0.64%, see rank | 5.07% | 4.73% |
| Walked | 68, 2.42%, see rank | 2.85% | 2.93% |
| Other Means | 45, 1.60%, see rank | 1.87% | 1.19% |
| Worked at Home | 56, 1.99%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 95903 Zip Code | 15.5 minutes |
| California | 27.4 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.
