08886 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08886 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,389, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,607, 76.93%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 273, 8.06%, see rank | 8.31% | 9.59% |
| Public Transportation | 33, 0.97%, see rank | 10.92% | 5.06% |
| Walked | 49, 1.45%, see rank | 3.03% | 2.78% |
| Other Means | 9, 0.27%, see rank | 1.89% | 1.79% |
| Worked at Home | 418, 12.33%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08886 Zip Code | 37.1 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08886 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,331, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,595, 77.90%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 273, 8.20%, see rank | 8.71% | 10.03% |
| Public Transportation | 102, 3.06%, see rank | 10.71% | 4.98% |
| Walked | 72, 2.16%, see rank | 3.17% | 2.82% |
| Other Means | 10, 0.30%, see rank | 1.93% | 1.76% |
| Worked at Home | 279, 8.38%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08886 Zip Code | 41.0 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08886 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 2,310, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,984, 85.89%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 173, 7.49%, see rank | 10.64% | 12.19% |
| Public Transportation | 32, 1.39%, see rank | 9.58% | 4.73% |
| Walked | 24, 1.04%, see rank | 3.13% | 2.93% |
| Other Means | 10, 0.43%, see rank | 0.94% | 1.19% |
| Worked at Home | 87, 3.77%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08886 Zip Code | 39.4 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.
