96816 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 96816 Zip Code | Hawaii | U.S. |
| Workers 16 Years and Over | 25,669, 100% | 668,457 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 17,662, 68.81%, see rank | 66.50% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,599, 14.02%, see rank | 14.17% | 9.59% |
| Public Transportation | 1,629, 6.35%, see rank | 6.55% | 5.06% |
| Walked | 604, 2.35%, see rank | 4.67% | 2.78% |
| Other Means | 928, 3.62%, see rank | 3.62% | 1.79% |
| Worked at Home | 1,247, 4.86%, see rank | 4.50% | 4.37% |
Mean Travel Time to Work, see rank| 96816 Zip Code | 23.3 minutes |
| Hawaii | 26.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 96816 Zip Code | Hawaii | U.S. |
| Workers 16 Years and Over | 26,183, 100% | 665,358 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 17,773, 67.88%, see rank | 66.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,724, 14.22%, see rank | 14.95% | 10.03% |
| Public Transportation | 1,769, 6.76%, see rank | 6.27% | 4.98% |
| Walked | 846, 3.23%, see rank | 4.70% | 2.82% |
| Other Means | 960, 3.67%, see rank | 3.23% | 1.76% |
| Worked at Home | 1,111, 4.24%, see rank | 4.67% | 4.27% |
Mean Travel Time to Work, see rank| 96816 Zip Code | 23.2 minutes |
| Hawaii | 26.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 96816 Zip Code | Hawaii | U.S. |
| Workers 16 Years and Over | 22,974, 100% | 563,154 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 15,082, 65.65%, see rank | 63.91% | 75.70% |
| Car, Truck, or Van—Carpooled | 4,145, 18.04%, see rank | 19.03% | 12.19% |
| Public Transportation | 1,470, 6.40%, see rank | 6.28% | 4.73% |
| Walked | 673, 2.93%, see rank | 4.82% | 2.93% |
| Other Means | 677, 2.95%, see rank | 2.37% | 1.19% |
| Worked at Home | 927, 4.03%, see rank | 3.59% | 3.26% |
Mean Travel Time to Work, see rank| 96816 Zip Code | 22.4 minutes |
| Hawaii | 26.2 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.
