73106 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 73106 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 5,974, 100% | 1,686,185 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,213, 70.52%, see rank | 82.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,007, 16.86%, see rank | 10.49% | 9.59% |
| Public Transportation | 86, 1.44%, see rank | 0.48% | 5.06% |
| Walked | 333, 5.57%, see rank | 1.79% | 2.78% |
| Other Means | 170, 2.85%, see rank | 1.42% | 1.79% |
| Worked at Home | 165, 2.76%, see rank | 3.57% | 4.37% |
Mean Travel Time to Work, see rank| 73106 Zip Code | 18.0 minutes |
| Oklahoma | 20.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 73106 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 5,938, 100% | 1,676,739 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,130, 69.55%, see rank | 81.51% | 76.14% |
| Car, Truck, or Van—Carpooled | 986, 16.60%, see rank | 11.05% | 10.03% |
| Public Transportation | 127, 2.14%, see rank | 0.47% | 4.98% |
| Walked | 356, 6.00%, see rank | 1.91% | 2.82% |
| Other Means | 179, 3.01%, see rank | 1.46% | 1.76% |
| Worked at Home | 160, 2.69%, see rank | 3.61% | 4.27% |
Mean Travel Time to Work, see rank| 73106 Zip Code | 17.6 minutes |
| Oklahoma | 20.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 73106 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 5,617, 100% | 1,539,792 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,546, 63.13%, see rank | 79.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,094, 19.48%, see rank | 13.21% | 12.19% |
| Public Transportation | 308, 5.48%, see rank | 0.48% | 4.73% |
| Walked | 321, 5.71%, see rank | 2.13% | 2.93% |
| Other Means | 153, 2.72%, see rank | 1.09% | 1.19% |
| Worked at Home | 195, 3.47%, see rank | 3.09% | 3.26% |
Mean Travel Time to Work, see rank| 73106 Zip Code | 18.4 minutes |
| Oklahoma | 20.9 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.
