27705 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| 27705 Zip Code | North Carolina | U.S. |
Workers 16 Years and Over | 21,979, 100% | 4,280,414 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 14,562, 66.25%, see rank | 81.16% | 76.41% |
Car, Truck, or Van—Carpooled | 2,569, 11.69%, see rank | 10.15% | 9.59% |
Public Transportation | 1,020, 4.64%, see rank | 1.12% | 5.06% |
Walked | 1,785, 8.12%, see rank | 1.78% | 2.78% |
Other Means | 836, 3.80%, see rank | 1.31% | 1.79% |
Worked at Home | 1,207, 5.49%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank27705 Zip Code | 19.5 minutes |
North Carolina | 23.5 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| 27705 Zip Code | North Carolina | U.S. |
Workers 16 Years and Over | 21,593, 100% | 4,237,689 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 14,950, 69.24%, see rank | 80.88% | 76.14% |
Car, Truck, or Van—Carpooled | 2,533, 11.73%, see rank | 10.70% | 10.03% |
Public Transportation | 680, 3.15%, see rank | 1.09% | 4.98% |
Walked | 1,525, 7.06%, see rank | 1.79% | 2.82% |
Other Means | 770, 3.57%, see rank | 1.28% | 1.76% |
Worked at Home | 1,135, 5.26%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank27705 Zip Code | 18.4 minutes |
North Carolina | 23.2 minutes |
U.S. | 25.4 minutes |
US Census 2000 data
| 27705 Zip Code | North Carolina | U.S. |
Workers 16 Years and Over | 20,357, 100% | 3,837,773 | 128,279,228 |
Car, Truck, or Van—Drove Alone | 14,679, 72.11%, see rank | 79.39% | 75.70% |
Car, Truck, or Van—Carpooled | 2,851, 14.01%, see rank | 14.03% | 12.19% |
Public Transportation | 544, 2.67%, see rank | 0.91% | 4.73% |
Walked | 1,332, 6.54%, see rank | 1.93% | 2.93% |
Other Means | 310, 1.52%, see rank | 1.07% | 1.19% |
Worked at Home | 641, 3.15%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank27705 Zip Code | 18.2 minutes |
North Carolina | 23.2 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.