71730 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 71730 Zip Code | Arkansas | U.S. |
| Workers 16 Years and Over | 13,065, 100% | 1,232,572 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,492, 87.96%, see rank | 82.49% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,005, 7.69%, see rank | 10.87% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.42% | 5.06% |
| Walked | 201, 1.54%, see rank | 1.74% | 2.78% |
| Other Means | 208, 1.59%, see rank | 1.30% | 1.79% |
| Worked at Home | 159, 1.22%, see rank | 3.18% | 4.37% |
Mean Travel Time to Work, see rank| 71730 Zip Code | 15.7 minutes |
| Arkansas | 21.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 71730 Zip Code | Arkansas | U.S. |
| Workers 16 Years and Over | 13,101, 100% | 1,232,938 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,476, 87.60%, see rank | 81.62% | 76.14% |
| Car, Truck, or Van—Carpooled | 889, 6.79%, see rank | 11.50% | 10.03% |
| Public Transportation | 11, 0.08%, see rank | 0.44% | 4.98% |
| Walked | 168, 1.28%, see rank | 1.81% | 2.82% |
| Other Means | 351, 2.68%, see rank | 1.34% | 1.76% |
| Worked at Home | 206, 1.57%, see rank | 3.30% | 4.27% |
Mean Travel Time to Work, see rank| 71730 Zip Code | 15.2 minutes |
| Arkansas | 20.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 71730 Zip Code | Arkansas | U.S. |
| Workers 16 Years and Over | 14,311, 100% | 1,160,101 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,043, 84.15%, see rank | 79.93% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,640, 11.46%, see rank | 14.10% | 12.19% |
| Public Transportation | 23, 0.16%, see rank | 0.44% | 4.73% |
| Walked | 278, 1.94%, see rank | 1.89% | 2.93% |
| Other Means | 121, 0.85%, see rank | 1.04% | 1.19% |
| Worked at Home | 206, 1.44%, see rank | 2.60% | 3.26% |
Mean Travel Time to Work, see rank| 71730 Zip Code | 15.6 minutes |
| Arkansas | 21.1 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.
