95665 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 95665 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,911, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,374, 71.90%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 322, 16.85%, see rank | 11.10% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.20% | 5.06% |
| Walked | 21, 1.10%, see rank | 2.73% | 2.78% |
| Other Means | 35, 1.83%, see rank | 2.45% | 1.79% |
| Worked at Home | 159, 8.32%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 95665 Zip Code | 27.9 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 95665 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,573, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,292, 82.14%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 129, 8.20%, see rank | 11.53% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 5.15% | 4.98% |
| Walked | 5, 0.32%, see rank | 2.76% | 2.82% |
| Other Means | 43, 2.73%, see rank | 2.36% | 1.76% |
| Worked at Home | 104, 6.61%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 95665 Zip Code | 31.3 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 95665 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,739, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,356, 77.98%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 226, 13.00%, see rank | 14.55% | 12.19% |
| Public Transportation | 7, 0.40%, see rank | 5.07% | 4.73% |
| Walked | 20, 1.15%, see rank | 2.85% | 2.93% |
| Other Means | 20, 1.15%, see rank | 1.87% | 1.19% |
| Worked at Home | 110, 6.33%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 95665 Zip Code | 29.4 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.
