17505 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 17505 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 642, 100% | 5,826,933 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 248, 38.63%, see rank | 76.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 110, 17.13%, see rank | 8.77% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.50% | 5.06% |
| Walked | 57, 8.88%, see rank | 3.85% | 2.78% |
| Other Means | 49, 7.63%, see rank | 1.34% | 1.79% |
| Worked at Home | 178, 27.73%, see rank | 3.89% | 4.37% |
Mean Travel Time to Work, see rank| 17505 Zip Code | 21.2 minutes |
| Pennsylvania | 26.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 17505 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 571, 100% | 5,808,681 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 182, 31.87%, see rank | 76.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 116, 20.32%, see rank | 9.18% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 5.43% | 4.98% |
| Walked | 69, 12.08%, see rank | 3.90% | 2.82% |
| Other Means | 65, 11.38%, see rank | 1.31% | 1.76% |
| Worked at Home | 139, 24.34%, see rank | 3.70% | 4.27% |
Mean Travel Time to Work, see rank| 17505 Zip Code | 21.9 minutes |
| Pennsylvania | 25.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 17505 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 663, 100% | 5,556,311 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 269, 40.57%, see rank | 76.45% | 75.70% |
| Car, Truck, or Van—Carpooled | 174, 26.24%, see rank | 10.39% | 12.19% |
| Public Transportation | 31, 4.68%, see rank | 5.21% | 4.73% |
| Walked | 113, 17.04%, see rank | 4.13% | 2.93% |
| Other Means | 18, 2.71%, see rank | 0.85% | 1.19% |
| Worked at Home | 58, 8.75%, see rank | 2.96% | 3.26% |
Mean Travel Time to Work, see rank| 17505 Zip Code | 19.7 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.
