02895 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02895 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 17,053, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,906, 81.55%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,220, 7.15%, see rank | 8.15% | 9.59% |
| Public Transportation | 194, 1.14%, see rank | 2.87% | 5.06% |
| Walked | 583, 3.42%, see rank | 3.74% | 2.78% |
| Other Means | 748, 4.39%, see rank | 1.58% | 1.79% |
| Worked at Home | 402, 2.36%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02895 Zip Code | 25.5 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02895 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 16,998, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,031, 82.55%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,438, 8.46%, see rank | 8.53% | 10.03% |
| Public Transportation | 196, 1.15%, see rank | 2.91% | 4.98% |
| Walked | 497, 2.92%, see rank | 3.55% | 2.82% |
| Other Means | 507, 2.98%, see rank | 1.50% | 1.76% |
| Worked at Home | 329, 1.94%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02895 Zip Code | 24.3 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02895 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 18,729, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,852, 79.30%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,629, 14.04%, see rank | 10.39% | 12.19% |
| Public Transportation | 216, 1.15%, see rank | 2.48% | 4.73% |
| Walked | 636, 3.40%, see rank | 3.81% | 2.93% |
| Other Means | 178, 0.95%, see rank | 0.95% | 1.19% |
| Worked at Home | 218, 1.16%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02895 Zip Code | 23.0 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.
