07764 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 07764 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,910, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,212, 82.15%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 129, 3.30%, see rank | 8.31% | 9.59% |
| Public Transportation | 104, 2.66%, see rank | 10.92% | 5.06% |
| Walked | 303, 7.75%, see rank | 3.03% | 2.78% |
| Other Means | 75, 1.92%, see rank | 1.89% | 1.79% |
| Worked at Home | 87, 2.23%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 07764 Zip Code | 21.4 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 07764 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,929, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,065, 78.01%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 209, 5.32%, see rank | 8.71% | 10.03% |
| Public Transportation | 245, 6.24%, see rank | 10.71% | 4.98% |
| Walked | 243, 6.18%, see rank | 3.17% | 2.82% |
| Other Means | 26, 0.66%, see rank | 1.93% | 1.76% |
| Worked at Home | 141, 3.59%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 07764 Zip Code | 25.6 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 07764 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,548, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,675, 75.39%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 299, 8.43%, see rank | 10.64% | 12.19% |
| Public Transportation | 116, 3.27%, see rank | 9.58% | 4.73% |
| Walked | 219, 6.17%, see rank | 3.13% | 2.93% |
| Other Means | 54, 1.52%, see rank | 0.94% | 1.19% |
| Worked at Home | 185, 5.21%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 07764 Zip Code | 23.5 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.
