08759 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08759 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 8,222, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,202, 87.59%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 590, 7.18%, see rank | 8.31% | 9.59% |
| Public Transportation | 71, 0.86%, see rank | 10.92% | 5.06% |
| Walked | 40, 0.49%, see rank | 3.03% | 2.78% |
| Other Means | 95, 1.16%, see rank | 1.89% | 1.79% |
| Worked at Home | 224, 2.72%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08759 Zip Code | 31.9 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08759 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 8,189, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,174, 87.61%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 614, 7.50%, see rank | 8.71% | 10.03% |
| Public Transportation | 165, 2.01%, see rank | 10.71% | 4.98% |
| Walked | 69, 0.84%, see rank | 3.17% | 2.82% |
| Other Means | 14, 0.17%, see rank | 1.93% | 1.76% |
| Worked at Home | 153, 1.87%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08759 Zip Code | 32.8 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08759 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 2,536, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,177, 85.84%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 221, 8.71%, see rank | 10.64% | 12.19% |
| Public Transportation | 27, 1.06%, see rank | 9.58% | 4.73% |
| Walked | 42, 1.66%, see rank | 3.13% | 2.93% |
| Other Means | 35, 1.38%, see rank | 0.94% | 1.19% |
| Worked at Home | 34, 1.34%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08759 Zip Code | 34.2 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.
