02916 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02916 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 4,280, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,650, 85.28%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 389, 9.09%, see rank | 8.15% | 9.59% |
| Public Transportation | 102, 2.38%, see rank | 2.87% | 5.06% |
| Walked | 16, 0.37%, see rank | 3.74% | 2.78% |
| Other Means | 61, 1.43%, see rank | 1.58% | 1.79% |
| Worked at Home | 62, 1.45%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02916 Zip Code | 20.8 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02916 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 4,410, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,717, 84.29%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 339, 7.69%, see rank | 8.53% | 10.03% |
| Public Transportation | 150, 3.40%, see rank | 2.91% | 4.98% |
| Walked | 28, 0.63%, see rank | 3.55% | 2.82% |
| Other Means | 55, 1.25%, see rank | 1.50% | 1.76% |
| Worked at Home | 121, 2.74%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02916 Zip Code | 20.8 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02916 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 3,958, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,411, 86.18%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 302, 7.63%, see rank | 10.39% | 12.19% |
| Public Transportation | 85, 2.15%, see rank | 2.48% | 4.73% |
| Walked | 23, 0.58%, see rank | 3.81% | 2.93% |
| Other Means | 38, 0.96%, see rank | 0.95% | 1.19% |
| Worked at Home | 99, 2.50%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02916 Zip Code | 20.2 minutes |
| Rhode Island | 22.1 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.
