40033 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 40033 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 5,031, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,059, 80.68%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 568, 11.29%, see rank | 9.92% | 9.59% |
| Public Transportation | 9, 0.18%, see rank | 1.08% | 5.06% |
| Walked | 132, 2.62%, see rank | 2.22% | 2.78% |
| Other Means | 77, 1.53%, see rank | 1.17% | 1.79% |
| Worked at Home | 186, 3.70%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 40033 Zip Code | 16.7 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 40033 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 4,935, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,016, 81.38%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 534, 10.82%, see rank | 10.39% | 10.03% |
| Public Transportation | 14, 0.28%, see rank | 1.15% | 4.98% |
| Walked | 106, 2.15%, see rank | 2.17% | 2.82% |
| Other Means | 94, 1.90%, see rank | 1.09% | 1.76% |
| Worked at Home | 171, 3.47%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 40033 Zip Code | 17.4 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 40033 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 4,695, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,635, 77.42%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 734, 15.63%, see rank | 12.61% | 12.19% |
| Public Transportation | 34, 0.72%, see rank | 1.21% | 4.73% |
| Walked | 85, 1.81%, see rank | 2.38% | 2.93% |
| Other Means | 26, 0.55%, see rank | 0.89% | 1.19% |
| Worked at Home | 181, 3.86%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 40033 Zip Code | 20.5 minutes |
| Kentucky | 22.7 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.
