65536 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 65536 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 11,700, 100% | 2,747,017 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,352, 79.93%, see rank | 81.59% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,463, 12.50%, see rank | 9.42% | 9.59% |
| Public Transportation | 24, 0.21%, see rank | 1.48% | 5.06% |
| Walked | 299, 2.56%, see rank | 1.97% | 2.78% |
| Other Means | 149, 1.27%, see rank | 1.28% | 1.79% |
| Worked at Home | 413, 3.53%, see rank | 4.26% | 4.37% |
Mean Travel Time to Work, see rank| 65536 Zip Code | 19.4 minutes |
| Missouri | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 65536 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 12,267, 100% | 2,747,695 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,014, 81.63%, see rank | 81.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,712, 13.96%, see rank | 10.03% | 10.03% |
| Public Transportation | 15, 0.12%, see rank | 1.46% | 4.98% |
| Walked | 129, 1.05%, see rank | 1.98% | 2.82% |
| Other Means | 214, 1.74%, see rank | 1.24% | 1.76% |
| Worked at Home | 183, 1.49%, see rank | 4.24% | 4.27% |
Mean Travel Time to Work, see rank| 65536 Zip Code | 19.2 minutes |
| Missouri | 22.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 65536 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 12,116, 100% | 2,629,296 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,558, 78.89%, see rank | 80.48% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,648, 13.60%, see rank | 11.64% | 12.19% |
| Public Transportation | 50, 0.41%, see rank | 1.49% | 4.73% |
| Walked | 238, 1.96%, see rank | 2.12% | 2.93% |
| Other Means | 82, 0.68%, see rank | 0.82% | 1.19% |
| Worked at Home | 540, 4.46%, see rank | 3.45% | 3.26% |
Mean Travel Time to Work, see rank| 65536 Zip Code | 18.1 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.
