19713 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 19713 Zip Code | Delaware | U.S. |
| Workers 16 Years and Over | 15,310, 100% | 419,999 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,255, 80.05%, see rank | 80.81% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,715, 11.20%, see rank | 8.71% | 9.59% |
| Public Transportation | 639, 4.17%, see rank | 3.13% | 5.06% |
| Walked | 139, 0.91%, see rank | 2.22% | 2.78% |
| Other Means | 242, 1.58%, see rank | 1.17% | 1.79% |
| Worked at Home | 320, 2.09%, see rank | 3.96% | 4.37% |
Mean Travel Time to Work, see rank| 19713 Zip Code | 23.0 minutes |
| Delaware | 25.2 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 19713 Zip Code | Delaware | U.S. |
| Workers 16 Years and Over | 15,534, 100% | 416,699 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,403, 79.84%, see rank | 80.14% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,794, 11.55%, see rank | 9.44% | 10.03% |
| Public Transportation | 625, 4.02%, see rank | 3.25% | 4.98% |
| Walked | 141, 0.91%, see rank | 2.25% | 2.82% |
| Other Means | 243, 1.56%, see rank | 1.31% | 1.76% |
| Worked at Home | 328, 2.11%, see rank | 3.61% | 4.27% |
Mean Travel Time to Work, see rank| 19713 Zip Code | 23.3 minutes |
| Delaware | 24.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 19713 Zip Code | Delaware | U.S. |
| Workers 16 Years and Over | 16,424, 100% | 373,070 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,269, 80.79%, see rank | 79.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,904, 11.59%, see rank | 11.52% | 12.19% |
| Public Transportation | 380, 2.31%, see rank | 2.78% | 4.73% |
| Walked | 376, 2.29%, see rank | 2.58% | 2.93% |
| Other Means | 163, 0.99%, see rank | 0.96% | 1.19% |
| Worked at Home | 332, 2.02%, see rank | 2.97% | 3.26% |
Mean Travel Time to Work, see rank| 19713 Zip Code | 21.8 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.
