08332 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08332 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 15,147, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,867, 84.95%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,463, 9.66%, see rank | 8.31% | 9.59% |
| Public Transportation | 214, 1.41%, see rank | 10.92% | 5.06% |
| Walked | 208, 1.37%, see rank | 3.03% | 2.78% |
| Other Means | 262, 1.73%, see rank | 1.89% | 1.79% |
| Worked at Home | 133, 0.88%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08332 Zip Code | 23.9 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08332 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 15,071, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,611, 83.68%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,626, 10.79%, see rank | 8.71% | 10.03% |
| Public Transportation | 272, 1.80%, see rank | 10.71% | 4.98% |
| Walked | 198, 1.31%, see rank | 3.17% | 2.82% |
| Other Means | 230, 1.53%, see rank | 1.93% | 1.76% |
| Worked at Home | 134, 0.89%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08332 Zip Code | 22.9 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08332 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 14,492, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,757, 81.13%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,664, 11.48%, see rank | 10.64% | 12.19% |
| Public Transportation | 346, 2.39%, see rank | 9.58% | 4.73% |
| Walked | 278, 1.92%, see rank | 3.13% | 2.93% |
| Other Means | 166, 1.15%, see rank | 0.94% | 1.19% |
| Worked at Home | 281, 1.94%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08332 Zip Code | 22.1 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.
