10003 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10003 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 34,553, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,533, 4.44%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 405, 1.17%, see rank | 6.81% | 9.59% |
| Public Transportation | 18,938, 54.81%, see rank | 27.40% | 5.06% |
| Walked | 8,507, 24.62%, see rank | 6.36% | 2.78% |
| Other Means | 2,515, 7.28%, see rank | 1.89% | 1.79% |
| Worked at Home | 2,655, 7.68%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10003 Zip Code | 25.3 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10003 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 33,690, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,444, 4.29%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 252, 0.75%, see rank | 7.14% | 10.03% |
| Public Transportation | 19,203, 57.00%, see rank | 26.81% | 4.98% |
| Walked | 7,775, 23.08%, see rank | 6.40% | 2.82% |
| Other Means | 1,989, 5.90%, see rank | 1.81% | 1.76% |
| Worked at Home | 3,027, 8.98%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10003 Zip Code | 25.2 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10003 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 34,731, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,663, 4.79%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 456, 1.31%, see rank | 9.22% | 12.19% |
| Public Transportation | 19,586, 56.39%, see rank | 24.43% | 4.73% |
| Walked | 9,558, 27.52%, see rank | 6.23% | 2.93% |
| Other Means | 874, 2.52%, see rank | 0.84% | 1.19% |
| Worked at Home | 2,594, 7.47%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10003 Zip Code | 24.5 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.
