08750 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08750 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 1,615, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,239, 76.72%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 54, 3.34%, see rank | 8.31% | 9.59% |
| Public Transportation | 94, 5.82%, see rank | 10.92% | 5.06% |
| Walked | 31, 1.92%, see rank | 3.03% | 2.78% |
| Other Means | 57, 3.53%, see rank | 1.89% | 1.79% |
| Worked at Home | 140, 8.67%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08750 Zip Code | 33.6 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08750 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 1,525, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,234, 80.92%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 23, 1.51%, see rank | 8.71% | 10.03% |
| Public Transportation | 106, 6.95%, see rank | 10.71% | 4.98% |
| Walked | 29, 1.90%, see rank | 3.17% | 2.82% |
| Other Means | 28, 1.84%, see rank | 1.93% | 1.76% |
| Worked at Home | 105, 6.89%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08750 Zip Code | 32.6 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08750 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 1,796, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,459, 81.24%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 148, 8.24%, see rank | 10.64% | 12.19% |
| Public Transportation | 84, 4.68%, see rank | 9.58% | 4.73% |
| Walked | 7, 0.39%, see rank | 3.13% | 2.93% |
| Other Means | 12, 0.67%, see rank | 0.94% | 1.19% |
| Worked at Home | 86, 4.79%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08750 Zip Code | 38.2 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.
