44106 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 44106 Zip Code | Ohio | U.S. |
| Workers 16 Years and Over | 10,650, 100% | 5,199,477 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,627, 52.84%, see rank | 83.53% | 76.41% |
| Car, Truck, or Van—Carpooled | 798, 7.49%, see rank | 7.95% | 9.59% |
| Public Transportation | 1,002, 9.41%, see rank | 1.62% | 5.06% |
| Walked | 2,353, 22.09%, see rank | 2.28% | 2.78% |
| Other Means | 250, 2.35%, see rank | 1.11% | 1.79% |
| Worked at Home | 620, 5.82%, see rank | 3.51% | 4.37% |
Mean Travel Time to Work, see rank| 44106 Zip Code | 20.9 minutes |
| Ohio | 22.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 44106 Zip Code | Ohio | U.S. |
| Workers 16 Years and Over | 10,062, 100% | 5,196,293 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,337, 53.04%, see rank | 83.14% | 76.14% |
| Car, Truck, or Van—Carpooled | 792, 7.87%, see rank | 8.34% | 10.03% |
| Public Transportation | 1,003, 9.97%, see rank | 1.71% | 4.98% |
| Walked | 2,236, 22.22%, see rank | 2.28% | 2.82% |
| Other Means | 169, 1.68%, see rank | 1.08% | 1.76% |
| Worked at Home | 525, 5.22%, see rank | 3.46% | 4.27% |
Mean Travel Time to Work, see rank| 44106 Zip Code | 20.7 minutes |
| Ohio | 22.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 44106 Zip Code | Ohio | U.S. |
| Workers 16 Years and Over | 11,887, 100% | 5,307,502 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,946, 58.43%, see rank | 82.75% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,147, 9.65%, see rank | 9.32% | 12.19% |
| Public Transportation | 1,467, 12.34%, see rank | 2.08% | 4.73% |
| Walked | 1,819, 15.30%, see rank | 2.37% | 2.93% |
| Other Means | 135, 1.14%, see rank | 0.72% | 1.19% |
| Worked at Home | 373, 3.14%, see rank | 2.76% | 3.26% |
Mean Travel Time to Work, see rank| 44106 Zip Code | 24.3 minutes |
| Ohio | 22.3 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.
