Important Context:
The graphs below show annual wages (for workers with four quarters of consecutive wages in a given year) for two different cohorts over time. While wages only provide limited information on a person’s experience in the workforce, seeing these trends broken down this way sheds light on new questions and insights.
The first graph investigates employment metrics for students who received a degree or certificate from a New Mexico public college or university.
The second graph investigates employment metrics after the latest calendar year in which an adult education student (individual who received 12 or more hours of instruction) participated.
Other Considerations:
Quarterly wage data comes from the New Mexico Department of Workforce Solutions (NMDWS) Unemployment Insurance (UI) database. This information is submitted by employers who support the UI program through the taxes they pay. These wage records include the total amount of wages paid to each employee by those employers. Wage records are used for counting numbers of individuals employed as well as analyzing the amounts of associated wages.
While these wage data can be very informative, it is important to know that they only tell part of the story. Our wage data do not describe circumstances, such as unemployment or lack of work, self-employment, retirement, working in another state (other than New Mexico), attending a postsecondary institution full time, working for the federal government or military, or leaving the labor force for another reason.
Yearly Average vs. Median Wage: Yearly wages are averaged, or a median is calculated per year for the selected cohort. The average (also called the “mean”) is found by adding all the wages together and then dividing by the total number of individuals in the cohort. The median is found by putting all the values in order from smallest to largest and then taking the value in the middle of the list. All amounts shown for wages are the original amounts reported by employers. No adjustments have been made for inflation or any other factors.