88130 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 88130 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 8,022, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,164, 76.84%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 979, 12.20%, see rank | 10.46% | 9.59% |
| Public Transportation | 8, 0.10%, see rank | 1.15% | 5.06% |
| Walked | 547, 6.82%, see rank | 2.24% | 2.78% |
| Other Means | 127, 1.58%, see rank | 2.03% | 1.79% |
| Worked at Home | 197, 2.46%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 88130 Zip Code | 14.1 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 88130 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,945, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,089, 76.64%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 874, 11.00%, see rank | 11.34% | 10.03% |
| Public Transportation | 20, 0.25%, see rank | 1.07% | 4.98% |
| Walked | 502, 6.32%, see rank | 2.35% | 2.82% |
| Other Means | 148, 1.86%, see rank | 1.88% | 1.76% |
| Worked at Home | 312, 3.93%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 88130 Zip Code | 14.3 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 88130 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 6,970, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,390, 77.33%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 952, 13.66%, see rank | 14.82% | 12.19% |
| Public Transportation | 9, 0.13%, see rank | 0.80% | 4.73% |
| Walked | 251, 3.60%, see rank | 2.82% | 2.93% |
| Other Means | 111, 1.59%, see rank | 1.58% | 1.19% |
| Worked at Home | 257, 3.69%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 88130 Zip Code | 15.1 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.
