Bishop Micro Area Historical Commuting to Work Data
ACS 2008-2012 data
| | Bishop Area | California | U.S. |
| Workers 16 Years and Over | 8,744, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,283, 71.85%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 955, 10.92%, see rank | 11.53% | 10.03% |
| Public Transportation | 14, 0.16%, see rank | 5.15% | 4.98% |
| Walked | 519, 5.94%, see rank | 2.76% | 2.82% |
| Other Means | 462, 5.28%, see rank | 2.36% | 1.76% |
| Worked at Home | 511, 5.84%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| Bishop Area | 14.5 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Bishop Area | California | U.S. |
| Workers 16 Years and Over | 8,442, 100% | 16,271,905 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 5,909, 70.00%, see rank | 72.95% | 76.00% |
| Car, Truck, or Van—Carpooled | 1,258, 14.90%, see rank | 11.92% | 10.35% |
| Public Transportation | 16, 0.19%, see rank | 5.13% | 4.94% |
| Walked | 453, 5.37%, see rank | 2.77% | 2.85% |
| Other Means | 365, 4.32%, see rank | 2.28% | 1.72% |
| Worked at Home | 441, 5.22%, see rank | 4.95% | 4.14% |
Mean Travel Time to Work, see rank| Bishop Area | 15.9 minutes |
| California | 27.2 minutes |
| U.S. | 25.3 minutes |
ACS 2005-2009 data
| | Bishop Area | California | U.S. |
| Workers 16 Years and Over | 8,306, 100% | 16,172,158 | 138,541,405 |
| Car, Truck, or Van—Drove Alone | 5,646, 67.97%, see rank | 73.05% | 75.92% |
| Car, Truck, or Van—Carpooled | 1,170, 14.09%, see rank | 12.05% | 10.52% |
| Public Transportation | 33, 0.40%, see rank | 5.13% | 4.95% |
| Walked | 575, 6.92%, see rank | 2.75% | 2.86% |
| Other Means | 413, 4.97%, see rank | 2.25% | 1.72% |
| Worked at Home | 469, 5.65%, see rank | 4.77% | 4.02% |
Mean Travel Time to Work, see rank| Bishop Area | 16.6 minutes |
| California | 27.2 minutes |
| U.S. | 25.2 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.
