10990 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10990 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 9,289, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,359, 79.22%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 748, 8.05%, see rank | 6.81% | 9.59% |
| Public Transportation | 536, 5.77%, see rank | 27.40% | 5.06% |
| Walked | 176, 1.89%, see rank | 6.36% | 2.78% |
| Other Means | 44, 0.47%, see rank | 1.89% | 1.79% |
| Worked at Home | 426, 4.59%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10990 Zip Code | 37.7 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10990 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 9,495, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,838, 82.55%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 661, 6.96%, see rank | 7.14% | 10.03% |
| Public Transportation | 476, 5.01%, see rank | 26.81% | 4.98% |
| Walked | 150, 1.58%, see rank | 6.40% | 2.82% |
| Other Means | 26, 0.27%, see rank | 1.81% | 1.76% |
| Worked at Home | 344, 3.62%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10990 Zip Code | 38.4 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10990 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 8,714, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,822, 78.29%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 871, 10.00%, see rank | 9.22% | 12.19% |
| Public Transportation | 380, 4.36%, see rank | 24.43% | 4.73% |
| Walked | 197, 2.26%, see rank | 6.23% | 2.93% |
| Other Means | 52, 0.60%, see rank | 0.84% | 1.19% |
| Worked at Home | 392, 4.50%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10990 Zip Code | 39.3 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.
