88063 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 88063 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 5,316, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,576, 86.08%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 356, 6.70%, see rank | 10.46% | 9.59% |
| Public Transportation | 74, 1.39%, see rank | 1.15% | 5.06% |
| Walked | 61, 1.15%, see rank | 2.24% | 2.78% |
| Other Means | 22, 0.41%, see rank | 2.03% | 1.79% |
| Worked at Home | 227, 4.27%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 88063 Zip Code | 20.7 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 88063 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 4,733, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,830, 80.92%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 536, 11.32%, see rank | 11.34% | 10.03% |
| Public Transportation | 71, 1.50%, see rank | 1.07% | 4.98% |
| Walked | 65, 1.37%, see rank | 2.35% | 2.82% |
| Other Means | 41, 0.87%, see rank | 1.88% | 1.76% |
| Worked at Home | 190, 4.01%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 88063 Zip Code | 21.2 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 88063 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 2,827, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,983, 70.15%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 485, 17.16%, see rank | 14.82% | 12.19% |
| Public Transportation | 72, 2.55%, see rank | 0.80% | 4.73% |
| Walked | 107, 3.78%, see rank | 2.82% | 2.93% |
| Other Means | 77, 2.72%, see rank | 1.58% | 1.19% |
| Worked at Home | 103, 3.64%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 88063 Zip Code | 25.1 minutes |
| New Mexico | 21.2 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.
