10018 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10018 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 5,592, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 156, 2.79%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 44, 0.79%, see rank | 6.81% | 9.59% |
| Public Transportation | 2,572, 45.99%, see rank | 27.40% | 5.06% |
| Walked | 2,192, 39.20%, see rank | 6.36% | 2.78% |
| Other Means | 300, 5.36%, see rank | 1.89% | 1.79% |
| Worked at Home | 328, 5.87%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10018 Zip Code | 27.9 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10018 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 4,134, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 153, 3.70%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 47, 1.14%, see rank | 7.14% | 10.03% |
| Public Transportation | 1,940, 46.93%, see rank | 26.81% | 4.98% |
| Walked | 1,614, 39.04%, see rank | 6.40% | 2.82% |
| Other Means | 187, 4.52%, see rank | 1.81% | 1.76% |
| Worked at Home | 193, 4.67%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10018 Zip Code | 28.1 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10018 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,704, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 65, 2.40%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 99, 3.66%, see rank | 9.22% | 12.19% |
| Public Transportation | 1,353, 50.04%, see rank | 24.43% | 4.73% |
| Walked | 1,003, 37.09%, see rank | 6.23% | 2.93% |
| Other Means | 38, 1.41%, see rank | 0.84% | 1.19% |
| Worked at Home | 146, 5.40%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10018 Zip Code | 25.0 minutes |
| New York | 31.7 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.
