64836 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 64836 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 10,138, 100% | 2,747,017 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,846, 77.39%, see rank | 81.59% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,045, 10.31%, see rank | 9.42% | 9.59% |
| Public Transportation | 56, 0.55%, see rank | 1.48% | 5.06% |
| Walked | 208, 2.05%, see rank | 1.97% | 2.78% |
| Other Means | 259, 2.55%, see rank | 1.28% | 1.79% |
| Worked at Home | 724, 7.14%, see rank | 4.26% | 4.37% |
Mean Travel Time to Work, see rank| 64836 Zip Code | 17.5 minutes |
| Missouri | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 64836 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 9,514, 100% | 2,747,695 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,775, 81.72%, see rank | 81.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 768, 8.07%, see rank | 10.03% | 10.03% |
| Public Transportation | 18, 0.19%, see rank | 1.46% | 4.98% |
| Walked | 169, 1.78%, see rank | 1.98% | 2.82% |
| Other Means | 264, 2.77%, see rank | 1.24% | 1.76% |
| Worked at Home | 520, 5.47%, see rank | 4.24% | 4.27% |
Mean Travel Time to Work, see rank| 64836 Zip Code | 17.5 minutes |
| Missouri | 22.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 64836 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 9,850, 100% | 2,629,296 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,003, 81.25%, see rank | 80.48% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,180, 11.98%, see rank | 11.64% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 1.49% | 4.73% |
| Walked | 259, 2.63%, see rank | 2.12% | 2.93% |
| Other Means | 126, 1.28%, see rank | 0.82% | 1.19% |
| Worked at Home | 282, 2.86%, see rank | 3.45% | 3.26% |
Mean Travel Time to Work, see rank| 64836 Zip Code | 17.1 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.
