08865 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08865 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 13,468, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,625, 78.89%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,603, 11.90%, see rank | 8.31% | 9.59% |
| Public Transportation | 232, 1.72%, see rank | 10.92% | 5.06% |
| Walked | 305, 2.26%, see rank | 3.03% | 2.78% |
| Other Means | 102, 0.76%, see rank | 1.89% | 1.79% |
| Worked at Home | 601, 4.46%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08865 Zip Code | 31.1 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08865 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 14,063, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,133, 79.17%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,663, 11.83%, see rank | 8.71% | 10.03% |
| Public Transportation | 237, 1.69%, see rank | 10.71% | 4.98% |
| Walked | 480, 3.41%, see rank | 3.17% | 2.82% |
| Other Means | 71, 0.50%, see rank | 1.93% | 1.76% |
| Worked at Home | 479, 3.41%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08865 Zip Code | 31.2 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08865 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 13,258, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,508, 79.26%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,686, 12.72%, see rank | 10.64% | 12.19% |
| Public Transportation | 161, 1.21%, see rank | 9.58% | 4.73% |
| Walked | 410, 3.09%, see rank | 3.13% | 2.93% |
| Other Means | 166, 1.25%, see rank | 0.94% | 1.19% |
| Worked at Home | 327, 2.47%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08865 Zip Code | 27.5 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.
