08869 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08869 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,790, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,129, 82.56%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 260, 6.86%, see rank | 8.31% | 9.59% |
| Public Transportation | 43, 1.13%, see rank | 10.92% | 5.06% |
| Walked | 89, 2.35%, see rank | 3.03% | 2.78% |
| Other Means | 61, 1.61%, see rank | 1.89% | 1.79% |
| Worked at Home | 208, 5.49%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08869 Zip Code | 23.9 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08869 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,525, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,851, 80.88%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 296, 8.40%, see rank | 8.71% | 10.03% |
| Public Transportation | 193, 5.48%, see rank | 10.71% | 4.98% |
| Walked | 77, 2.18%, see rank | 3.17% | 2.82% |
| Other Means | 5, 0.14%, see rank | 1.93% | 1.76% |
| Worked at Home | 103, 2.92%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08869 Zip Code | 28.2 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08869 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 3,046, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,417, 79.35%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 319, 10.47%, see rank | 10.64% | 12.19% |
| Public Transportation | 70, 2.30%, see rank | 9.58% | 4.73% |
| Walked | 115, 3.78%, see rank | 3.13% | 2.93% |
| Other Means | 34, 1.12%, see rank | 0.94% | 1.19% |
| Worked at Home | 91, 2.99%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08869 Zip Code | 23.1 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.
