40069 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 40069 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 3,628, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,876, 79.27%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 442, 12.18%, see rank | 9.92% | 9.59% |
| Public Transportation | 54, 1.49%, see rank | 1.08% | 5.06% |
| Walked | 139, 3.83%, see rank | 2.22% | 2.78% |
| Other Means | 20, 0.55%, see rank | 1.17% | 1.79% |
| Worked at Home | 97, 2.67%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 40069 Zip Code | 24.3 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 40069 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 3,573, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,749, 76.94%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 468, 13.10%, see rank | 10.39% | 10.03% |
| Public Transportation | 8, 0.22%, see rank | 1.15% | 4.98% |
| Walked | 182, 5.09%, see rank | 2.17% | 2.82% |
| Other Means | 25, 0.70%, see rank | 1.09% | 1.76% |
| Worked at Home | 141, 3.95%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 40069 Zip Code | 24.2 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 40069 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 3,376, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,631, 77.93%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 353, 10.46%, see rank | 12.61% | 12.19% |
| Public Transportation | 12, 0.36%, see rank | 1.21% | 4.73% |
| Walked | 155, 4.59%, see rank | 2.38% | 2.93% |
| Other Means | 36, 1.07%, see rank | 0.89% | 1.19% |
| Worked at Home | 189, 5.60%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 40069 Zip Code | 20.2 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.
