Best Metros for Flight Attendants in 2026: New York Tops Pay and Scale

Across the top-ranked metros, LaborCove’s data shows substantial variation in both pay and employment scale for flight attendants, even among markets with similar Geography Scores. New York-Newark-Jersey City clearly stands out in this dataset by combining the highest Geography Score, the largest reported employment count, and a median salary that is well above the national figure. Other metros illustrate that higher Geography Scores do not simply track the highest median salaries or the largest employment counts. For example, San Francisco-Oakland-Fremont has a higher median salary than Los Angeles-Long Beach-Anaheim but ranks lower, while Chicago-Naperville-Elgin has a larger reported employment count than San Francisco yet a lower LaborCove score. Taken together, the rankings underscore that LaborCove’s Geography Score reflects a combination of factors, not just one metric, and that flight attendants evaluating locations may want to consider how pay, scale of employment, and overall metro ranking align with their own priorities, using national pay and national growth as broad context.

At the national level, flight attendants have a median annual salary of $63,580 in the 2026 report year. National employment stands at 131,650, providing the scale against which metro-level employment counts in this article can be viewed. The national projected employment growth rate for flight attendants is 9.2%. This projection applies to the occupation across the United States as a whole and is not a forecast for any individual metro area. The metro comparisons that follow focus on salaries, employment counts where available, and LaborCove Geography Scores.

New York-Newark-Jersey City, NY-NJ ranks #1 in LaborCove’s metro results for flight attendants, with a Geography Score of 88.19. This is the highest score among the 10 listed metros. The metro’s median annual salary for flight attendants is $127,740, which is higher than the national median of $63,580. New York-Newark-Jersey City also has a reported employment count of 18,030 flight attendants, and this value is identified as the largest employment market among the 28 geographies available in this dataset. This combination of the top Geography Score, the largest reported employment count, and a median salary that exceeds the national figure highlights how New York-Newark-Jersey City stands out within the current LaborCove data for this occupation.

Los Angeles-Long Beach-Anaheim, CA holds the #2 ranking with a Geography Score of 52.51 and a median salary of $79,390 for flight attendants. Its reported employment count is 10,080. San Francisco-Oakland-Fremont, CA ranks #4 with a Geography Score of 48.73 and has a higher median salary of $89,430 compared with Los Angeles-Long Beach-Anaheim’s $79,390. However, San Francisco’s reported employment count of 4,420 is lower than Los Angeles’s 10,080. Chicago-Naperville-Elgin, IL-IN ranks #8 with a Geography Score of 42.18. Chicago’s median salary of $62,120 is lower than Los Angeles’s $79,390 and lower than San Francisco’s $89,430, while Chicago’s reported employment of 9,240 is smaller than Los Angeles’s 10,080 but larger than San Francisco’s 4,420. These contrasts show that metros with higher salaries do not automatically receive higher Geography Scores or have larger employment counts in the LaborCove data.

Salt Lake City-Murray, UT ranks #3 among the metros listed, with a LaborCove Geography Score of 50.37. Its median salary for flight attendants is $82,730, which is higher than the national median of $63,580. The employment count for Salt Lake City-Murray is not supplied in this dataset, so only its ranking, salary, and score can be directly compared. Seattle-Tacoma-Bellevue, WA appears at #5 with a Geography Score of 48.47 and a median salary of $75,100. This median salary is also higher than the national median. As with Salt Lake City-Murray, the employment count for Seattle-Tacoma-Bellevue is not supplied, which limits direct comparisons on scale of employment with metros where counts are available. These two metros illustrate that relatively high Geography Scores can align with median salaries above the national level, even when the underlying employment counts are not available in the supplied data.

Atlanta-Sandy Springs-Roswell, GA holds the #6 position with a Geography Score of 48.34 and a median salary of $78,320 for flight attendants. Tucson, AZ follows at #7 with a Geography Score of 43.80 and a median salary of $75,610. Employment counts for both metros are not supplied. Atlantic City-Hammonton, NJ is ranked #9 with a Geography Score of 41.79 and a median salary of $67,140. Boise City, ID rounds out the top 10 at #10 with a Geography Score of 41.04 and a median salary of $62,200. Among Atlantic City-Hammonton and Boise City, Atlantic City-Hammonton has the higher median salary, at $67,140 compared with Boise City’s $62,200. Compared with the national median of $63,580, Atlanta-Sandy Springs-Roswell’s $78,320, Tucson’s $75,610, Atlantic City-Hammonton’s $67,140, and Boise City’s $62,200 show a mix of salaries both above and slightly below the national figure, while their Geography Scores place them across the middle and lower portion of LaborCove’s top 10 metro ranking for this occupation.

LaborCove builds these rankings from authoritative labor-market data and its own Geography Score methodology. For each metro area, we use the supplied median annual salary, employment count where available, and a composite LaborCove Geography Score. The Geography Score itself is produced by LaborCove’s internal scoring framework. The specific contribution of salary, employment, or other components to that score is not detailed in this dataset, so this Insight focuses on transparent, side-by-side comparisons rather than reverse-engineering the score. Readers should view these rankings as one input into a broader career decision. Individual considerations such as preferred airlines, commute patterns, and personal circumstances are outside the scope of this analysis and are not captured in the LaborCove data used here.