87116 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87116 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 1,710, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,375, 80.41%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 99, 5.79%, see rank | 10.46% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.15% | 5.06% |
| Walked | 163, 9.53%, see rank | 2.24% | 2.78% |
| Other Means | 60, 3.51%, see rank | 2.03% | 1.79% |
| Worked at Home | 13, 0.76%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87116 Zip Code | 10.0 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87116 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 1,786, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,465, 82.03%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 200, 11.20%, see rank | 11.34% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.07% | 4.98% |
| Walked | 85, 4.76%, see rank | 2.35% | 2.82% |
| Other Means | 22, 1.23%, see rank | 1.88% | 1.76% |
| Worked at Home | 14, 0.78%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87116 Zip Code | 11.8 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87116 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 2,165, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,615, 74.60%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 244, 11.27%, see rank | 14.82% | 12.19% |
| Public Transportation | 33, 1.52%, see rank | 0.80% | 4.73% |
| Walked | 165, 7.62%, see rank | 2.82% | 2.93% |
| Other Means | 85, 3.93%, see rank | 1.58% | 1.19% |
| Worked at Home | 23, 1.06%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87116 Zip Code | 11.6 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.
