07033 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 07033 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,008, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,443, 85.90%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 184, 4.59%, see rank | 8.31% | 9.59% |
| Public Transportation | 181, 4.52%, see rank | 10.92% | 5.06% |
| Walked | 68, 1.70%, see rank | 3.03% | 2.78% |
| Other Means | 14, 0.35%, see rank | 1.89% | 1.79% |
| Worked at Home | 118, 2.94%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 07033 Zip Code | 25.7 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 07033 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,912, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,237, 82.75%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 365, 9.33%, see rank | 8.71% | 10.03% |
| Public Transportation | 139, 3.55%, see rank | 10.71% | 4.98% |
| Walked | 56, 1.43%, see rank | 3.17% | 2.82% |
| Other Means | 12, 0.31%, see rank | 1.93% | 1.76% |
| Worked at Home | 103, 2.63%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 07033 Zip Code | 25.2 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 07033 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,741, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,195, 85.40%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 314, 8.39%, see rank | 10.64% | 12.19% |
| Public Transportation | 108, 2.89%, see rank | 9.58% | 4.73% |
| Walked | 36, 0.96%, see rank | 3.13% | 2.93% |
| Other Means | 32, 0.86%, see rank | 0.94% | 1.19% |
| Worked at Home | 56, 1.50%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 07033 Zip Code | 24.1 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.
