08736 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 08736 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 5,737, 100% | 4,144,855 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,831, 84.21%, see rank | 71.91% | 76.41% |
| Car, Truck, or Van—Carpooled | 245, 4.27%, see rank | 8.31% | 9.59% |
| Public Transportation | 232, 4.04%, see rank | 10.92% | 5.06% |
| Walked | 150, 2.61%, see rank | 3.03% | 2.78% |
| Other Means | 87, 1.52%, see rank | 1.89% | 1.79% |
| Worked at Home | 192, 3.35%, see rank | 3.94% | 4.37% |
Mean Travel Time to Work, see rank| 08736 Zip Code | 32.4 minutes |
| New Jersey | 31.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 08736 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 5,563, 100% | 4,127,735 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,591, 82.53%, see rank | 71.75% | 76.14% |
| Car, Truck, or Van—Carpooled | 422, 7.59%, see rank | 8.71% | 10.03% |
| Public Transportation | 168, 3.02%, see rank | 10.71% | 4.98% |
| Walked | 97, 1.74%, see rank | 3.17% | 2.82% |
| Other Means | 98, 1.76%, see rank | 1.93% | 1.76% |
| Worked at Home | 187, 3.36%, see rank | 3.72% | 4.27% |
Mean Travel Time to Work, see rank| 08736 Zip Code | 32.8 minutes |
| New Jersey | 30.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 08736 Zip Code | New Jersey | U.S. |
| Workers 16 Years and Over | 6,299, 100% | 3,876,433 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,083, 80.70%, see rank | 72.96% | 75.70% |
| Car, Truck, or Van—Carpooled | 431, 6.84%, see rank | 10.64% | 12.19% |
| Public Transportation | 311, 4.94%, see rank | 9.58% | 4.73% |
| Walked | 178, 2.83%, see rank | 3.13% | 2.93% |
| Other Means | 81, 1.29%, see rank | 0.94% | 1.19% |
| Worked at Home | 215, 3.41%, see rank | 2.75% | 3.26% |
Mean Travel Time to Work, see rank| 08736 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.
