07463 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 07463 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,989, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,887, 77.91%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 275, 5.51%, see rank | 8.31% | 9.59% |
| Public Transportation | 502, 10.06%, see rank | 10.92% | 5.06% |
| Walked | 28, 0.56%, see rank | 3.03% | 2.78% |
| Other Means | 4, 0.08%, see rank | 1.89% | 1.79% |
| Worked at Home | 293, 5.87%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 07463 Zip Code | 29.8 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 07463 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,889, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,523, 72.06%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 563, 11.52%, see rank | 8.71% | 10.03% |
| Public Transportation | 415, 8.49%, see rank | 10.71% | 4.98% |
| Walked | 9, 0.18%, see rank | 3.17% | 2.82% |
| Other Means | 5, 0.10%, see rank | 1.93% | 1.76% |
| Worked at Home | 374, 7.65%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 07463 Zip Code | 27.8 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 07463 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,907, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,970, 80.90%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 411, 8.38%, see rank | 10.64% | 12.19% |
| Public Transportation | 295, 6.01%, see rank | 9.58% | 4.73% |
| Walked | 89, 1.81%, see rank | 3.13% | 2.93% |
| Other Means | 0, 0.00%, see rank | 0.94% | 1.19% |
| Worked at Home | 142, 2.89%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 07463 Zip Code | 27.0 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.
