95683 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 95683 Zip Code | California | U.S. |
| Workers 16 Years and Over | 2,721, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,156, 79.24%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 139, 5.11%, see rank | 11.10% | 9.59% |
| Public Transportation | 67, 2.46%, see rank | 5.20% | 5.06% |
| Walked | 20, 0.74%, see rank | 2.73% | 2.78% |
| Other Means | 16, 0.59%, see rank | 2.45% | 1.79% |
| Worked at Home | 323, 11.87%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 95683 Zip Code | 40.4 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 95683 Zip Code | California | U.S. |
| Workers 16 Years and Over | 2,980, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,295, 77.01%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 235, 7.89%, see rank | 11.53% | 10.03% |
| Public Transportation | 14, 0.47%, see rank | 5.15% | 4.98% |
| Walked | 31, 1.04%, see rank | 2.76% | 2.82% |
| Other Means | 17, 0.57%, see rank | 2.36% | 1.76% |
| Worked at Home | 388, 13.02%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 95683 Zip Code | 38.1 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 95683 Zip Code | California | U.S. |
| Workers 16 Years and Over | 2,120, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,623, 76.56%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 235, 11.08%, see rank | 14.55% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 5.07% | 4.73% |
| Walked | 15, 0.71%, see rank | 2.85% | 2.93% |
| Other Means | 39, 1.84%, see rank | 1.87% | 1.19% |
| Worked at Home | 208, 9.81%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 95683 Zip Code | 35.0 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.
