40353 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 40353 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 8,538, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,289, 85.37%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 973, 11.40%, see rank | 9.92% | 9.59% |
| Public Transportation | 6, 0.07%, see rank | 1.08% | 5.06% |
| Walked | 99, 1.16%, see rank | 2.22% | 2.78% |
| Other Means | 48, 0.56%, see rank | 1.17% | 1.79% |
| Worked at Home | 123, 1.44%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 40353 Zip Code | 22.4 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 40353 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 7,945, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,965, 87.67%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 752, 9.47%, see rank | 10.39% | 10.03% |
| Public Transportation | 11, 0.14%, see rank | 1.15% | 4.98% |
| Walked | 114, 1.43%, see rank | 2.17% | 2.82% |
| Other Means | 64, 0.81%, see rank | 1.09% | 1.76% |
| Worked at Home | 39, 0.49%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 40353 Zip Code | 21.9 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 40353 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 7,905, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,596, 83.44%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,059, 13.40%, see rank | 12.61% | 12.19% |
| Public Transportation | 17, 0.22%, see rank | 1.21% | 4.73% |
| Walked | 57, 0.72%, see rank | 2.38% | 2.93% |
| Other Means | 56, 0.71%, see rank | 0.89% | 1.19% |
| Worked at Home | 120, 1.52%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 40353 Zip Code | 23.8 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.
