08034 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08034 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 9,001, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,135, 79.27%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 699, 7.77%, see rank | 8.31% | 9.59% |
| Public Transportation | 434, 4.82%, see rank | 10.92% | 5.06% |
| Walked | 96, 1.07%, see rank | 3.03% | 2.78% |
| Other Means | 91, 1.01%, see rank | 1.89% | 1.79% |
| Worked at Home | 546, 6.07%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08034 Zip Code | 25.1 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08034 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 8,485, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,771, 79.80%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 626, 7.38%, see rank | 8.71% | 10.03% |
| Public Transportation | 446, 5.26%, see rank | 10.71% | 4.98% |
| Walked | 134, 1.58%, see rank | 3.17% | 2.82% |
| Other Means | 55, 0.65%, see rank | 1.93% | 1.76% |
| Worked at Home | 453, 5.34%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08034 Zip Code | 26.1 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08034 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 9,171, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,349, 80.13%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 717, 7.82%, see rank | 10.64% | 12.19% |
| Public Transportation | 651, 7.10%, see rank | 9.58% | 4.73% |
| Walked | 91, 0.99%, see rank | 3.13% | 2.93% |
| Other Means | 43, 0.47%, see rank | 0.94% | 1.19% |
| Worked at Home | 320, 3.49%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08034 Zip Code | 24.8 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.
