74066 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 74066 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 13,361, 100% | 1,686,185 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,485, 85.96%, see rank | 82.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,062, 7.95%, see rank | 10.49% | 9.59% |
| Public Transportation | 48, 0.36%, see rank | 0.48% | 5.06% |
| Walked | 135, 1.01%, see rank | 1.79% | 2.78% |
| Other Means | 69, 0.52%, see rank | 1.42% | 1.79% |
| Worked at Home | 562, 4.21%, see rank | 3.57% | 4.37% |
Mean Travel Time to Work, see rank| 74066 Zip Code | 21.5 minutes |
| Oklahoma | 20.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 74066 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 13,353, 100% | 1,676,739 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,348, 84.98%, see rank | 81.51% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,188, 8.90%, see rank | 11.05% | 10.03% |
| Public Transportation | 7, 0.05%, see rank | 0.47% | 4.98% |
| Walked | 148, 1.11%, see rank | 1.91% | 2.82% |
| Other Means | 95, 0.71%, see rank | 1.46% | 1.76% |
| Worked at Home | 567, 4.25%, see rank | 3.61% | 4.27% |
Mean Travel Time to Work, see rank| 74066 Zip Code | 20.1 minutes |
| Oklahoma | 20.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 74066 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 12,886, 100% | 1,539,792 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,651, 82.66%, see rank | 79.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,502, 11.66%, see rank | 13.21% | 12.19% |
| Public Transportation | 3, 0.02%, see rank | 0.48% | 4.73% |
| Walked | 210, 1.63%, see rank | 2.13% | 2.93% |
| Other Means | 160, 1.24%, see rank | 1.09% | 1.19% |
| Worked at Home | 360, 2.79%, see rank | 3.09% | 3.26% |
Mean Travel Time to Work, see rank| 74066 Zip Code | 22.7 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.
