07642 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 07642 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,991, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,622, 72.57%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 237, 4.75%, see rank | 8.31% | 9.59% |
| Public Transportation | 503, 10.08%, see rank | 10.92% | 5.06% |
| Walked | 79, 1.58%, see rank | 3.03% | 2.78% |
| Other Means | 57, 1.14%, see rank | 1.89% | 1.79% |
| Worked at Home | 493, 9.88%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 07642 Zip Code | 31.8 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 07642 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,875, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,825, 78.46%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 229, 4.70%, see rank | 8.71% | 10.03% |
| Public Transportation | 361, 7.41%, see rank | 10.71% | 4.98% |
| Walked | 91, 1.87%, see rank | 3.17% | 2.82% |
| Other Means | 31, 0.64%, see rank | 1.93% | 1.76% |
| Worked at Home | 338, 6.93%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 07642 Zip Code | 29.4 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 07642 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 5,015, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,928, 78.33%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 396, 7.90%, see rank | 10.64% | 12.19% |
| Public Transportation | 347, 6.92%, see rank | 9.58% | 4.73% |
| Walked | 76, 1.52%, see rank | 3.13% | 2.93% |
| Other Means | 57, 1.14%, see rank | 0.94% | 1.19% |
| Worked at Home | 211, 4.21%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 07642 Zip Code | 30.4 minutes |
| New Jersey | 29.9 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.
