03033 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 03033 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 2,821, 100% | 676,708 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,406, 85.29%, see rank | 81.28% | 76.41% |
| Car, Truck, or Van—Carpooled | 110, 3.90%, see rank | 7.95% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.85% | 5.06% |
| Walked | 19, 0.67%, see rank | 2.92% | 2.78% |
| Other Means | 21, 0.74%, see rank | 1.22% | 1.79% |
| Worked at Home | 265, 9.39%, see rank | 5.79% | 4.37% |
Mean Travel Time to Work, see rank| 03033 Zip Code | 35.6 minutes |
| New Hampshire | 26.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 03033 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 2,756, 100% | 679,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,343, 85.01%, see rank | 81.40% | 76.14% |
| Car, Truck, or Van—Carpooled | 92, 3.34%, see rank | 8.02% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.79% | 4.98% |
| Walked | 30, 1.09%, see rank | 3.08% | 2.82% |
| Other Means | 45, 1.63%, see rank | 1.21% | 1.76% |
| Worked at Home | 246, 8.93%, see rank | 5.51% | 4.27% |
Mean Travel Time to Work, see rank| 03033 Zip Code | 34.2 minutes |
| New Hampshire | 26.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 03033 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 2,114, 100% | 638,565 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,790, 84.67%, see rank | 81.75% | 75.70% |
| Car, Truck, or Van—Carpooled | 150, 7.10%, see rank | 9.83% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.73% | 4.73% |
| Walked | 22, 1.04%, see rank | 2.90% | 2.93% |
| Other Means | 13, 0.61%, see rank | 0.82% | 1.19% |
| Worked at Home | 139, 6.58%, see rank | 3.96% | 3.26% |
Mean Travel Time to Work, see rank| 03033 Zip Code | 32.8 minutes |
| New Hampshire | 24.9 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.
