40769 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 40769 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 5,924, 100% | 1,845,143 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,431, 74.80%, see rank | 82.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 849, 14.33%, see rank | 9.92% | 9.59% |
| Public Transportation | 35, 0.59%, see rank | 1.08% | 5.06% |
| Walked | 420, 7.09%, see rank | 2.22% | 2.78% |
| Other Means | 68, 1.15%, see rank | 1.17% | 1.79% |
| Worked at Home | 121, 2.04%, see rank | 3.13% | 4.37% |
Mean Travel Time to Work, see rank| 40769 Zip Code | 19.5 minutes |
| Kentucky | 22.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 40769 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 5,973, 100% | 1,833,778 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,680, 78.35%, see rank | 82.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 851, 14.25%, see rank | 10.39% | 10.03% |
| Public Transportation | 45, 0.75%, see rank | 1.15% | 4.98% |
| Walked | 271, 4.54%, see rank | 2.17% | 2.82% |
| Other Means | 23, 0.39%, see rank | 1.09% | 1.76% |
| Worked at Home | 103, 1.72%, see rank | 2.99% | 4.27% |
Mean Travel Time to Work, see rank| 40769 Zip Code | 19.1 minutes |
| Kentucky | 22.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 40769 Zip Code | Kentucky | U.S. |
| Workers 16 Years and Over | 6,580, 100% | 1,781,733 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,899, 74.45%, see rank | 80.21% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,118, 16.99%, see rank | 12.61% | 12.19% |
| Public Transportation | 48, 0.73%, see rank | 1.21% | 4.73% |
| Walked | 315, 4.79%, see rank | 2.38% | 2.93% |
| Other Means | 71, 1.08%, see rank | 0.89% | 1.19% |
| Worked at Home | 129, 1.96%, see rank | 2.70% | 3.26% |
Mean Travel Time to Work, see rank| 40769 Zip Code | 24.6 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.
