08853 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08853 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 2,778, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,419, 87.08%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 129, 4.64%, see rank | 8.31% | 9.59% |
| Public Transportation | 10, 0.36%, see rank | 10.92% | 5.06% |
| Walked | 23, 0.83%, see rank | 3.03% | 2.78% |
| Other Means | 58, 2.09%, see rank | 1.89% | 1.79% |
| Worked at Home | 139, 5.00%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08853 Zip Code | 35.2 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08853 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 2,773, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,408, 86.84%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 71, 2.56%, see rank | 8.71% | 10.03% |
| Public Transportation | 28, 1.01%, see rank | 10.71% | 4.98% |
| Walked | 32, 1.15%, see rank | 3.17% | 2.82% |
| Other Means | 53, 1.91%, see rank | 1.93% | 1.76% |
| Worked at Home | 181, 6.53%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08853 Zip Code | 32.2 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08853 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 6,304, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,351, 84.88%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 352, 5.58%, see rank | 10.64% | 12.19% |
| Public Transportation | 168, 2.66%, see rank | 9.58% | 4.73% |
| Walked | 94, 1.49%, see rank | 3.13% | 2.93% |
| Other Means | 44, 0.70%, see rank | 0.94% | 1.19% |
| Worked at Home | 295, 4.68%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08853 Zip Code | 34.2 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.
