08505 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08505 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 9,328, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,653, 82.04%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 772, 8.28%, see rank | 8.31% | 9.59% |
| Public Transportation | 327, 3.51%, see rank | 10.92% | 5.06% |
| Walked | 125, 1.34%, see rank | 3.03% | 2.78% |
| Other Means | 90, 0.96%, see rank | 1.89% | 1.79% |
| Worked at Home | 361, 3.87%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08505 Zip Code | 29.0 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08505 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 9,079, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,414, 81.66%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 691, 7.61%, see rank | 8.71% | 10.03% |
| Public Transportation | 290, 3.19%, see rank | 10.71% | 4.98% |
| Walked | 156, 1.72%, see rank | 3.17% | 2.82% |
| Other Means | 110, 1.21%, see rank | 1.93% | 1.76% |
| Worked at Home | 418, 4.60%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08505 Zip Code | 28.4 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08505 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 8,321, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,019, 84.35%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 703, 8.45%, see rank | 10.64% | 12.19% |
| Public Transportation | 142, 1.71%, see rank | 9.58% | 4.73% |
| Walked | 205, 2.46%, see rank | 3.13% | 2.93% |
| Other Means | 53, 0.64%, see rank | 0.94% | 1.19% |
| Worked at Home | 199, 2.39%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08505 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.
