08648 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08648 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 16,947, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,531, 73.94%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,491, 8.80%, see rank | 8.31% | 9.59% |
| Public Transportation | 946, 5.58%, see rank | 10.92% | 5.06% |
| Walked | 490, 2.89%, see rank | 3.03% | 2.78% |
| Other Means | 214, 1.26%, see rank | 1.89% | 1.79% |
| Worked at Home | 1,275, 7.52%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08648 Zip Code | 26.6 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08648 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 16,517, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,600, 76.29%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,337, 8.09%, see rank | 8.71% | 10.03% |
| Public Transportation | 789, 4.78%, see rank | 10.71% | 4.98% |
| Walked | 571, 3.46%, see rank | 3.17% | 2.82% |
| Other Means | 125, 0.76%, see rank | 1.93% | 1.76% |
| Worked at Home | 1,095, 6.63%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08648 Zip Code | 25.2 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08648 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 14,030, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,228, 80.03%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,062, 7.57%, see rank | 10.64% | 12.19% |
| Public Transportation | 708, 5.05%, see rank | 9.58% | 4.73% |
| Walked | 507, 3.61%, see rank | 3.13% | 2.93% |
| Other Means | 87, 0.62%, see rank | 0.94% | 1.19% |
| Worked at Home | 438, 3.12%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08648 Zip Code | 26.5 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.
