03266 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 03266 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,163, 100% | 676,708 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 907, 77.99%, see rank | 81.28% | 76.41% |
| Car, Truck, or Van—Carpooled | 160, 13.76%, see rank | 7.95% | 9.59% |
| Public Transportation | 10, 0.86%, see rank | 0.85% | 5.06% |
| Walked | 26, 2.24%, see rank | 2.92% | 2.78% |
| Other Means | 15, 1.29%, see rank | 1.22% | 1.79% |
| Worked at Home | 45, 3.87%, see rank | 5.79% | 4.37% |
Mean Travel Time to Work, see rank| 03266 Zip Code | 30.5 minutes |
| New Hampshire | 26.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 03266 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,085, 100% | 679,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 858, 79.08%, see rank | 81.40% | 76.14% |
| Car, Truck, or Van—Carpooled | 123, 11.34%, see rank | 8.02% | 10.03% |
| Public Transportation | 3, 0.28%, see rank | 0.79% | 4.98% |
| Walked | 22, 2.03%, see rank | 3.08% | 2.82% |
| Other Means | 25, 2.30%, see rank | 1.21% | 1.76% |
| Worked at Home | 54, 4.98%, see rank | 5.51% | 4.27% |
Mean Travel Time to Work, see rank| 03266 Zip Code | 28.6 minutes |
| New Hampshire | 26.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 03266 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 995, 100% | 638,565 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 750, 75.38%, see rank | 81.75% | 75.70% |
| Car, Truck, or Van—Carpooled | 136, 13.67%, see rank | 9.83% | 12.19% |
| Public Transportation | 5, 0.50%, see rank | 0.73% | 4.73% |
| Walked | 45, 4.52%, see rank | 2.90% | 2.93% |
| Other Means | 11, 1.11%, see rank | 0.82% | 1.19% |
| Worked at Home | 48, 4.82%, see rank | 3.96% | 3.26% |
Mean Travel Time to Work, see rank| 03266 Zip Code | 27.7 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.
