01904 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 01904 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 9,678, 100% | 3,284,998 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,883, 81.45%, see rank | 71.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 477, 4.93%, see rank | 7.75% | 9.59% |
| Public Transportation | 611, 6.31%, see rank | 9.47% | 5.06% |
| Walked | 344, 3.55%, see rank | 4.74% | 2.78% |
| Other Means | 154, 1.59%, see rank | 1.63% | 1.79% |
| Worked at Home | 209, 2.16%, see rank | 4.44% | 4.37% |
Mean Travel Time to Work, see rank| 01904 Zip Code | 26.7 minutes |
| Massachusetts | 28.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 01904 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 9,616, 100% | 3,231,819 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,653, 79.59%, see rank | 72.19% | 76.14% |
| Car, Truck, or Van—Carpooled | 699, 7.27%, see rank | 8.13% | 10.03% |
| Public Transportation | 532, 5.53%, see rank | 9.15% | 4.98% |
| Walked | 272, 2.83%, see rank | 4.74% | 2.82% |
| Other Means | 209, 2.17%, see rank | 1.57% | 1.76% |
| Worked at Home | 251, 2.61%, see rank | 4.22% | 4.27% |
Mean Travel Time to Work, see rank| 01904 Zip Code | 26.7 minutes |
| Massachusetts | 28.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 01904 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 9,127, 100% | 3,102,837 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,433, 81.44%, see rank | 73.81% | 75.70% |
| Car, Truck, or Van—Carpooled | 843, 9.24%, see rank | 9.00% | 12.19% |
| Public Transportation | 505, 5.53%, see rank | 8.73% | 4.73% |
| Walked | 183, 2.01%, see rank | 4.34% | 2.93% |
| Other Means | 50, 0.55%, see rank | 0.99% | 1.19% |
| Worked at Home | 113, 1.24%, see rank | 3.14% | 3.26% |
Mean Travel Time to Work, see rank| 01904 Zip Code | 25.3 minutes |
| Massachusetts | 26.9 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.
