41056 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 41056 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 5,672, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,710, 83.04%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 660, 11.64%, see rank | 9.92% | 9.59% |
| Public Transportation | 44, 0.78%, see rank | 1.08% | 5.06% |
| Walked | 74, 1.30%, see rank | 2.22% | 2.78% |
| Other Means | 82, 1.45%, see rank | 1.17% | 1.79% |
| Worked at Home | 102, 1.80%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 41056 Zip Code | 22.2 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 41056 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 5,734, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,687, 81.74%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 620, 10.81%, see rank | 10.39% | 10.03% |
| Public Transportation | 35, 0.61%, see rank | 1.15% | 4.98% |
| Walked | 153, 2.67%, see rank | 2.17% | 2.82% |
| Other Means | 89, 1.55%, see rank | 1.09% | 1.76% |
| Worked at Home | 150, 2.62%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 41056 Zip Code | 19.5 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 41056 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 6,266, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,900, 78.20%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 890, 14.20%, see rank | 12.61% | 12.19% |
| Public Transportation | 78, 1.24%, see rank | 1.21% | 4.73% |
| Walked | 144, 2.30%, see rank | 2.38% | 2.93% |
| Other Means | 49, 0.78%, see rank | 0.89% | 1.19% |
| Worked at Home | 205, 3.27%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 41056 Zip Code | 19.0 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.
