08085 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08085 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 9,931, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,342, 84.00%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 808, 8.14%, see rank | 8.31% | 9.59% |
| Public Transportation | 121, 1.22%, see rank | 10.92% | 5.06% |
| Walked | 146, 1.47%, see rank | 3.03% | 2.78% |
| Other Means | 78, 0.79%, see rank | 1.89% | 1.79% |
| Worked at Home | 436, 4.39%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08085 Zip Code | 30.9 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08085 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 9,786, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,128, 83.06%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 847, 8.66%, see rank | 8.71% | 10.03% |
| Public Transportation | 219, 2.24%, see rank | 10.71% | 4.98% |
| Walked | 138, 1.41%, see rank | 3.17% | 2.82% |
| Other Means | 90, 0.92%, see rank | 1.93% | 1.76% |
| Worked at Home | 364, 3.72%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08085 Zip Code | 30.3 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08085 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 5,243, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,421, 84.32%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 457, 8.72%, see rank | 10.64% | 12.19% |
| Public Transportation | 63, 1.20%, see rank | 9.58% | 4.73% |
| Walked | 83, 1.58%, see rank | 3.13% | 2.93% |
| Other Means | 37, 0.71%, see rank | 0.94% | 1.19% |
| Worked at Home | 182, 3.47%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08085 Zip Code | 28.8 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.
