03592 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 03592 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 521, 100% | 676,708 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 399, 76.58%, see rank | 81.28% | 76.41% |
| Car, Truck, or Van—Carpooled | 17, 3.26%, see rank | 7.95% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.85% | 5.06% |
| Walked | 31, 5.95%, see rank | 2.92% | 2.78% |
| Other Means | 6, 1.15%, see rank | 1.22% | 1.79% |
| Worked at Home | 68, 13.05%, see rank | 5.79% | 4.37% |
Mean Travel Time to Work, see rank| 03592 Zip Code | 21.5 minutes |
| New Hampshire | 26.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 03592 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 561, 100% | 679,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 377, 67.20%, see rank | 81.40% | 76.14% |
| Car, Truck, or Van—Carpooled | 46, 8.20%, see rank | 8.02% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.79% | 4.98% |
| Walked | 25, 4.46%, see rank | 3.08% | 2.82% |
| Other Means | 28, 4.99%, see rank | 1.21% | 1.76% |
| Worked at Home | 85, 15.15%, see rank | 5.51% | 4.27% |
Mean Travel Time to Work, see rank| 03592 Zip Code | 22.9 minutes |
| New Hampshire | 26.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 03592 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 573, 100% | 638,565 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 395, 68.94%, see rank | 81.75% | 75.70% |
| Car, Truck, or Van—Carpooled | 120, 20.94%, see rank | 9.83% | 12.19% |
| Public Transportation | 2, 0.35%, see rank | 0.73% | 4.73% |
| Walked | 10, 1.75%, see rank | 2.90% | 2.93% |
| Other Means | 17, 2.97%, see rank | 0.82% | 1.19% |
| Worked at Home | 29, 5.06%, see rank | 3.96% | 3.26% |
Mean Travel Time to Work, see rank| 03592 Zip Code | 18.7 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.
