65714 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 65714 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 14,213, 100% | 2,747,017 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,707, 82.37%, see rank | 81.59% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,467, 10.32%, see rank | 9.42% | 9.59% |
| Public Transportation | 34, 0.24%, see rank | 1.48% | 5.06% |
| Walked | 58, 0.41%, see rank | 1.97% | 2.78% |
| Other Means | 158, 1.11%, see rank | 1.28% | 1.79% |
| Worked at Home | 789, 5.55%, see rank | 4.26% | 4.37% |
Mean Travel Time to Work, see rank| 65714 Zip Code | 23.6 minutes |
| Missouri | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 65714 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 14,130, 100% | 2,747,695 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,677, 82.64%, see rank | 81.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,544, 10.93%, see rank | 10.03% | 10.03% |
| Public Transportation | 13, 0.09%, see rank | 1.46% | 4.98% |
| Walked | 20, 0.14%, see rank | 1.98% | 2.82% |
| Other Means | 223, 1.58%, see rank | 1.24% | 1.76% |
| Worked at Home | 653, 4.62%, see rank | 4.24% | 4.27% |
Mean Travel Time to Work, see rank| 65714 Zip Code | 23.3 minutes |
| Missouri | 22.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 65714 Zip Code | Missouri | U.S. |
| Workers 16 Years and Over | 10,636, 100% | 2,629,296 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,997, 84.59%, see rank | 80.48% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,112, 10.46%, see rank | 11.64% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 1.49% | 4.73% |
| Walked | 83, 0.78%, see rank | 2.12% | 2.93% |
| Other Means | 43, 0.40%, see rank | 0.82% | 1.19% |
| Worked at Home | 401, 3.77%, see rank | 3.45% | 3.26% |
Mean Travel Time to Work, see rank| 65714 Zip Code | 22.4 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.
