07755 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 07755 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 2,842, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,295, 80.75%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 191, 6.72%, see rank | 8.31% | 9.59% |
| Public Transportation | 152, 5.35%, see rank | 10.92% | 5.06% |
| Walked | 23, 0.81%, see rank | 3.03% | 2.78% |
| Other Means | 25, 0.88%, see rank | 1.89% | 1.79% |
| Worked at Home | 156, 5.49%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 07755 Zip Code | 28.8 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 07755 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 2,849, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,269, 79.64%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 256, 8.99%, see rank | 8.71% | 10.03% |
| Public Transportation | 157, 5.51%, see rank | 10.71% | 4.98% |
| Walked | 30, 1.05%, see rank | 3.17% | 2.82% |
| Other Means | 6, 0.21%, see rank | 1.93% | 1.76% |
| Worked at Home | 131, 4.60%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 07755 Zip Code | 28.4 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 07755 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,107, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,452, 78.92%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 305, 9.82%, see rank | 10.64% | 12.19% |
| Public Transportation | 205, 6.60%, see rank | 9.58% | 4.73% |
| Walked | 22, 0.71%, see rank | 3.13% | 2.93% |
| Other Means | 47, 1.51%, see rank | 0.94% | 1.19% |
| Worked at Home | 76, 2.45%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 07755 Zip Code | 27.3 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.
