Monroe Micro Area Historical Commuting to Work Data
ACS 2008-2012 data
| | Monroe Area | Wisconsin | U.S. |
| Workers 16 Years and Over | 19,389, 100% | 2,807,856 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,126, 78.01%, see rank | 79.92% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,897, 9.78%, see rank | 9.20% | 10.03% |
| Public Transportation | 30, 0.15%, see rank | 1.81% | 4.98% |
| Walked | 714, 3.68%, see rank | 3.31% | 2.82% |
| Other Means | 435, 2.24%, see rank | 1.72% | 1.76% |
| Worked at Home | 1,187, 6.12%, see rank | 4.03% | 4.27% |
Mean Travel Time to Work, see rank| Monroe Area | 22.7 minutes |
| Wisconsin | 21.2 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Monroe Area | Wisconsin | U.S. |
| Workers 16 Years and Over | 19,271, 100% | 2,812,812 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 15,186, 78.80%, see rank | 79.84% | 76.00% |
| Car, Truck, or Van—Carpooled | 1,777, 9.22%, see rank | 9.32% | 10.35% |
| Public Transportation | 80, 0.42%, see rank | 1.80% | 4.94% |
| Walked | 667, 3.46%, see rank | 3.37% | 2.85% |
| Other Means | 366, 1.90%, see rank | 1.70% | 1.72% |
| Worked at Home | 1,195, 6.20%, see rank | 3.98% | 4.14% |
Mean Travel Time to Work, see rank| Monroe Area | 22.7 minutes |
| Wisconsin | 20.9 minutes |
| U.S. | 25.3 minutes |
ACS 2005-2009 data
| | Monroe Area | Wisconsin | U.S. |
| Workers 16 Years and Over | 18,832, 100% | 2,813,388 | 138,541,405 |
| Car, Truck, or Van—Drove Alone | 14,822, 78.71%, see rank | 79.80% | 75.92% |
| Car, Truck, or Van—Carpooled | 1,773, 9.41%, see rank | 9.31% | 10.52% |
| Public Transportation | 99, 0.53%, see rank | 1.80% | 4.95% |
| Walked | 674, 3.58%, see rank | 3.49% | 2.86% |
| Other Means | 248, 1.32%, see rank | 1.69% | 1.72% |
| Worked at Home | 1,216, 6.46%, see rank | 3.91% | 4.02% |
Mean Travel Time to Work, see rank| Monroe Area | 22.7 minutes |
| Wisconsin | 20.7 minutes |
| U.S. | 25.2 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.
