19355 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 19355 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 12,484, 100% | 5,826,933 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,861, 78.99%, see rank | 76.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 544, 4.36%, see rank | 8.77% | 9.59% |
| Public Transportation | 575, 4.61%, see rank | 5.50% | 5.06% |
| Walked | 311, 2.49%, see rank | 3.85% | 2.78% |
| Other Means | 138, 1.11%, see rank | 1.34% | 1.79% |
| Worked at Home | 1,055, 8.45%, see rank | 3.89% | 4.37% |
Mean Travel Time to Work, see rank| 19355 Zip Code | 24.1 minutes |
| Pennsylvania | 26.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 19355 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 12,373, 100% | 5,808,681 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,905, 80.05%, see rank | 76.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 632, 5.11%, see rank | 9.18% | 10.03% |
| Public Transportation | 553, 4.47%, see rank | 5.43% | 4.98% |
| Walked | 302, 2.44%, see rank | 3.90% | 2.82% |
| Other Means | 218, 1.76%, see rank | 1.31% | 1.76% |
| Worked at Home | 763, 6.17%, see rank | 3.70% | 4.27% |
Mean Travel Time to Work, see rank| 19355 Zip Code | 24.5 minutes |
| Pennsylvania | 25.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 19355 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 10,871, 100% | 5,556,311 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,960, 82.42%, see rank | 76.45% | 75.70% |
| Car, Truck, or Van—Carpooled | 653, 6.01%, see rank | 10.39% | 12.19% |
| Public Transportation | 486, 4.47%, see rank | 5.21% | 4.73% |
| Walked | 147, 1.35%, see rank | 4.13% | 2.93% |
| Other Means | 73, 0.67%, see rank | 0.85% | 1.19% |
| Worked at Home | 552, 5.08%, see rank | 2.96% | 3.26% |
Mean Travel Time to Work, see rank| 19355 Zip Code | 25.9 minutes |
| Pennsylvania | 24.7 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.
