40383 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 40383 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 11,036, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,019, 81.72%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,196, 10.84%, see rank | 9.92% | 9.59% |
| Public Transportation | 35, 0.32%, see rank | 1.08% | 5.06% |
| Walked | 190, 1.72%, see rank | 2.22% | 2.78% |
| Other Means | 93, 0.84%, see rank | 1.17% | 1.79% |
| Worked at Home | 503, 4.56%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 40383 Zip Code | 22.6 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 40383 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 10,887, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,811, 80.93%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,341, 12.32%, see rank | 10.39% | 10.03% |
| Public Transportation | 34, 0.31%, see rank | 1.15% | 4.98% |
| Walked | 154, 1.41%, see rank | 2.17% | 2.82% |
| Other Means | 58, 0.53%, see rank | 1.09% | 1.76% |
| Worked at Home | 489, 4.49%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 40383 Zip Code | 21.6 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 40383 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 10,859, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,068, 83.51%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,228, 11.31%, see rank | 12.61% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 1.21% | 4.73% |
| Walked | 151, 1.39%, see rank | 2.38% | 2.93% |
| Other Means | 36, 0.33%, see rank | 0.89% | 1.19% |
| Worked at Home | 376, 3.46%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 40383 Zip Code | 21.0 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.
