42223 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 42223 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 9,201, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,264, 57.21%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 843, 9.16%, see rank | 9.92% | 9.59% |
| Public Transportation | 25, 0.27%, see rank | 1.08% | 5.06% |
| Walked | 2,133, 23.18%, see rank | 2.22% | 2.78% |
| Other Means | 86, 0.93%, see rank | 1.17% | 1.79% |
| Worked at Home | 850, 9.24%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 42223 Zip Code | 8.8 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 42223 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 8,477, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,655, 54.91%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 966, 11.40%, see rank | 10.39% | 10.03% |
| Public Transportation | 10, 0.12%, see rank | 1.15% | 4.98% |
| Walked | 1,858, 21.92%, see rank | 2.17% | 2.82% |
| Other Means | 159, 1.88%, see rank | 1.09% | 1.76% |
| Worked at Home | 829, 9.78%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 42223 Zip Code | 9.6 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 42223 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 11,761, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,505, 55.31%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,930, 16.41%, see rank | 12.61% | 12.19% |
| Public Transportation | 18, 0.15%, see rank | 1.21% | 4.73% |
| Walked | 2,644, 22.48%, see rank | 2.38% | 2.93% |
| Other Means | 370, 3.15%, see rank | 0.89% | 1.19% |
| Worked at Home | 294, 2.50%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 42223 Zip Code | 11.3 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.
