08884 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08884 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,104, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,285, 80.04%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 277, 6.75%, see rank | 8.31% | 9.59% |
| Public Transportation | 173, 4.22%, see rank | 10.92% | 5.06% |
| Walked | 95, 2.31%, see rank | 3.03% | 2.78% |
| Other Means | 97, 2.36%, see rank | 1.89% | 1.79% |
| Worked at Home | 177, 4.31%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08884 Zip Code | 30.5 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08884 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 4,090, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,333, 81.49%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 383, 9.36%, see rank | 8.71% | 10.03% |
| Public Transportation | 102, 2.49%, see rank | 10.71% | 4.98% |
| Walked | 116, 2.84%, see rank | 3.17% | 2.82% |
| Other Means | 29, 0.71%, see rank | 1.93% | 1.76% |
| Worked at Home | 127, 3.11%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08884 Zip Code | 29.4 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08884 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,914, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,191, 81.53%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 452, 11.55%, see rank | 10.64% | 12.19% |
| Public Transportation | 157, 4.01%, see rank | 9.58% | 4.73% |
| Walked | 18, 0.46%, see rank | 3.13% | 2.93% |
| Other Means | 24, 0.61%, see rank | 0.94% | 1.19% |
| Worked at Home | 72, 1.84%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08884 Zip Code | 32.6 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.
