10030 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10030 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 11,580, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 888, 7.67%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 475, 4.10%, see rank | 6.81% | 9.59% |
| Public Transportation | 8,013, 69.20%, see rank | 27.40% | 5.06% |
| Walked | 949, 8.20%, see rank | 6.36% | 2.78% |
| Other Means | 536, 4.63%, see rank | 1.89% | 1.79% |
| Worked at Home | 719, 6.21%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10030 Zip Code | 39.1 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10030 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 11,497, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,002, 8.72%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 389, 3.38%, see rank | 7.14% | 10.03% |
| Public Transportation | 8,189, 71.23%, see rank | 26.81% | 4.98% |
| Walked | 887, 7.72%, see rank | 6.40% | 2.82% |
| Other Means | 287, 2.50%, see rank | 1.81% | 1.76% |
| Worked at Home | 743, 6.46%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10030 Zip Code | 39.3 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10030 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 7,543, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 885, 11.73%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 442, 5.86%, see rank | 9.22% | 12.19% |
| Public Transportation | 5,260, 69.73%, see rank | 24.43% | 4.73% |
| Walked | 733, 9.72%, see rank | 6.23% | 2.93% |
| Other Means | 70, 0.93%, see rank | 0.84% | 1.19% |
| Worked at Home | 153, 2.03%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10030 Zip Code | 38.2 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.
