91767 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 91767 Zip Code | California | U.S. |
| Workers 16 Years and Over | 19,795, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,497, 73.24%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,808, 14.19%, see rank | 11.10% | 9.59% |
| Public Transportation | 930, 4.70%, see rank | 5.20% | 5.06% |
| Walked | 416, 2.10%, see rank | 2.73% | 2.78% |
| Other Means | 601, 3.04%, see rank | 2.45% | 1.79% |
| Worked at Home | 543, 2.74%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 91767 Zip Code | 29.0 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 91767 Zip Code | California | U.S. |
| Workers 16 Years and Over | 19,306, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,600, 75.62%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,740, 14.19%, see rank | 11.53% | 10.03% |
| Public Transportation | 799, 4.14%, see rank | 5.15% | 4.98% |
| Walked | 362, 1.88%, see rank | 2.76% | 2.82% |
| Other Means | 329, 1.70%, see rank | 2.36% | 1.76% |
| Worked at Home | 476, 2.47%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 91767 Zip Code | 30.1 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 91767 Zip Code | California | U.S. |
| Workers 16 Years and Over | 17,151, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,303, 65.90%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,884, 22.65%, see rank | 14.55% | 12.19% |
| Public Transportation | 960, 5.60%, see rank | 5.07% | 4.73% |
| Walked | 307, 1.79%, see rank | 2.85% | 2.93% |
| Other Means | 344, 2.01%, see rank | 1.87% | 1.19% |
| Worked at Home | 353, 2.06%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 91767 Zip Code | 31.1 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.
