49829 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 49829 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 7,114, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,753, 80.87%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 695, 9.77%, see rank | 8.85% | 9.59% |
| Public Transportation | 76, 1.07%, see rank | 1.41% | 5.06% |
| Walked | 243, 3.42%, see rank | 2.17% | 2.78% |
| Other Means | 139, 1.95%, see rank | 1.24% | 1.79% |
| Worked at Home | 208, 2.92%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 49829 Zip Code | 14.2 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 49829 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 7,139, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,930, 83.06%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 586, 8.21%, see rank | 9.03% | 10.03% |
| Public Transportation | 32, 0.45%, see rank | 1.34% | 4.98% |
| Walked | 209, 2.93%, see rank | 2.22% | 2.82% |
| Other Means | 155, 2.17%, see rank | 1.20% | 1.76% |
| Worked at Home | 227, 3.18%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 49829 Zip Code | 12.9 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 49829 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 8,258, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,855, 83.01%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 874, 10.58%, see rank | 9.70% | 12.19% |
| Public Transportation | 105, 1.27%, see rank | 1.33% | 4.73% |
| Walked | 214, 2.59%, see rank | 2.24% | 2.93% |
| Other Means | 48, 0.58%, see rank | 0.74% | 1.19% |
| Worked at Home | 162, 1.96%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 49829 Zip Code | 14.5 minutes |
| Michigan | 23.5 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.
