73533 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 73533 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 11,539, 100% | 1,686,185 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,430, 81.72%, see rank | 82.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,411, 12.23%, see rank | 10.49% | 9.59% |
| Public Transportation | 87, 0.75%, see rank | 0.48% | 5.06% |
| Walked | 203, 1.76%, see rank | 1.79% | 2.78% |
| Other Means | 201, 1.74%, see rank | 1.42% | 1.79% |
| Worked at Home | 207, 1.79%, see rank | 3.57% | 4.37% |
Mean Travel Time to Work, see rank| 73533 Zip Code | 18.1 minutes |
| Oklahoma | 20.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 73533 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 11,831, 100% | 1,676,739 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,815, 82.96%, see rank | 81.51% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,438, 12.15%, see rank | 11.05% | 10.03% |
| Public Transportation | 4, 0.03%, see rank | 0.47% | 4.98% |
| Walked | 126, 1.06%, see rank | 1.91% | 2.82% |
| Other Means | 149, 1.26%, see rank | 1.46% | 1.76% |
| Worked at Home | 299, 2.53%, see rank | 3.61% | 4.27% |
Mean Travel Time to Work, see rank| 73533 Zip Code | 17.5 minutes |
| Oklahoma | 20.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 73533 Zip Code | Oklahoma | U.S. |
| Workers 16 Years and Over | 11,252, 100% | 1,539,792 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,232, 82.05%, see rank | 79.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,469, 13.06%, see rank | 13.21% | 12.19% |
| Public Transportation | 6, 0.05%, see rank | 0.48% | 4.73% |
| Walked | 158, 1.40%, see rank | 2.13% | 2.93% |
| Other Means | 135, 1.20%, see rank | 1.09% | 1.19% |
| Worked at Home | 252, 2.24%, see rank | 3.09% | 3.26% |
Mean Travel Time to Work, see rank| 73533 Zip Code | 18.0 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.
