19804 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 19804 Zip Code | Delaware | U.S. |
| Workers 16 Years and Over | 8,485, 100% | 419,999 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,510, 76.72%, see rank | 80.81% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,060, 12.49%, see rank | 8.71% | 9.59% |
| Public Transportation | 335, 3.95%, see rank | 3.13% | 5.06% |
| Walked | 144, 1.70%, see rank | 2.22% | 2.78% |
| Other Means | 86, 1.01%, see rank | 1.17% | 1.79% |
| Worked at Home | 350, 4.12%, see rank | 3.96% | 4.37% |
Mean Travel Time to Work, see rank| 19804 Zip Code | 21.4 minutes |
| Delaware | 25.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 19804 Zip Code | Delaware | U.S. |
| Workers 16 Years and Over | 8,679, 100% | 416,699 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,908, 79.59%, see rank | 80.14% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,049, 12.09%, see rank | 9.44% | 10.03% |
| Public Transportation | 292, 3.36%, see rank | 3.25% | 4.98% |
| Walked | 104, 1.20%, see rank | 2.25% | 2.82% |
| Other Means | 117, 1.35%, see rank | 1.31% | 1.76% |
| Worked at Home | 209, 2.41%, see rank | 3.61% | 4.27% |
Mean Travel Time to Work, see rank| 19804 Zip Code | 20.1 minutes |
| Delaware | 24.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 19804 Zip Code | Delaware | U.S. |
| Workers 16 Years and Over | 9,010, 100% | 373,070 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,297, 80.99%, see rank | 79.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,066, 11.83%, see rank | 11.52% | 12.19% |
| Public Transportation | 228, 2.53%, see rank | 2.78% | 4.73% |
| Walked | 159, 1.76%, see rank | 2.58% | 2.93% |
| Other Means | 52, 0.58%, see rank | 0.96% | 1.19% |
| Worked at Home | 208, 2.31%, see rank | 2.97% | 3.26% |
Mean Travel Time to Work, see rank| 19804 Zip Code | 20.6 minutes |
| Delaware | 23.4 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.
