08873 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08873 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 25,156, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 19,475, 77.42%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,264, 9.00%, see rank | 8.31% | 9.59% |
| Public Transportation | 1,880, 7.47%, see rank | 10.92% | 5.06% |
| Walked | 251, 1.00%, see rank | 3.03% | 2.78% |
| Other Means | 257, 1.02%, see rank | 1.89% | 1.79% |
| Worked at Home | 1,029, 4.09%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08873 Zip Code | 33.1 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08873 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 23,982, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 18,966, 79.08%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,209, 9.21%, see rank | 8.71% | 10.03% |
| Public Transportation | 1,572, 6.55%, see rank | 10.71% | 4.98% |
| Walked | 164, 0.68%, see rank | 3.17% | 2.82% |
| Other Means | 192, 0.80%, see rank | 1.93% | 1.76% |
| Worked at Home | 879, 3.67%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08873 Zip Code | 33.6 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08873 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 20,850, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,696, 80.08%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,074, 9.95%, see rank | 10.64% | 12.19% |
| Public Transportation | 1,238, 5.94%, see rank | 9.58% | 4.73% |
| Walked | 231, 1.11%, see rank | 3.13% | 2.93% |
| Other Means | 220, 1.06%, see rank | 0.94% | 1.19% |
| Worked at Home | 391, 1.88%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08873 Zip Code | 30.4 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.
