63366 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 63366 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 25,384, 100% | 2,747,017 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 22,415, 88.30%, see rank | 81.59% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,657, 6.53%, see rank | 9.42% | 9.59% |
| Public Transportation | 63, 0.25%, see rank | 1.48% | 5.06% |
| Walked | 131, 0.52%, see rank | 1.97% | 2.78% |
| Other Means | 232, 0.91%, see rank | 1.28% | 1.79% |
| Worked at Home | 886, 3.49%, see rank | 4.26% | 4.37% |
Mean Travel Time to Work, see rank| 63366 Zip Code | 26.3 minutes |
| Missouri | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 63366 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 24,119, 100% | 2,747,695 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 21,592, 89.52%, see rank | 81.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,327, 5.50%, see rank | 10.03% | 10.03% |
| Public Transportation | 79, 0.33%, see rank | 1.46% | 4.98% |
| Walked | 129, 0.53%, see rank | 1.98% | 2.82% |
| Other Means | 211, 0.87%, see rank | 1.24% | 1.76% |
| Worked at Home | 781, 3.24%, see rank | 4.24% | 4.27% |
Mean Travel Time to Work, see rank| 63366 Zip Code | 26.0 minutes |
| Missouri | 22.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 63366 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 29,206, 100% | 2,629,296 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 25,311, 86.66%, see rank | 80.48% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,582, 8.84%, see rank | 11.64% | 12.19% |
| Public Transportation | 38, 0.13%, see rank | 1.49% | 4.73% |
| Walked | 199, 0.68%, see rank | 2.12% | 2.93% |
| Other Means | 213, 0.73%, see rank | 0.82% | 1.19% |
| Worked at Home | 863, 2.95%, see rank | 3.45% | 3.26% |
Mean Travel Time to Work, see rank| 63366 Zip Code | 28.0 minutes |
| Missouri | 23.1 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.
