Top Metros for Training and Development Specialists: New York Leads Large Hubs as Dothan, AL Delivers Peak Pay

Across the U.S., training and development specialists earn a national median annual salary of $69,280, with 458,300 people employed in this occupation. National employment in this role is projected to grow by 10.8%, a context point for understanding the overall market even though geographic growth rates are not provided. Within that national picture, LaborCove ranks 391 metro areas and identifies New York-Newark-Jersey City, NY-NJ as the top metro for training and development specialists based on its Geography Score. The rest of the top 10 shows that high salaries, sizable employment counts, and mid-sized markets all appear among the leading metros, but they combine these elements differently. The analysis below walks through the main contrasts the data reveals: how top metros compare to the national median salary, how employment counts are distributed across large and smaller markets, and how LaborCove Geography Scores do not always move in lockstep with salary or employment.

LaborCove’s national data show a median annual salary of $69,280 for training and development specialists and national employment of 458,300. The occupation also carries a projected national employment growth rate of 10.8%, which indicates expansion at the national level but does not speak to specific metros. Against that backdrop, the largest single metro employment count in the supplied data is 22,190, in New York-Newark-Jersey City, NY-NJ. Every metro comparison in this article is framed within that national salary and employment context, while recognizing that metro‑level projected growth is not available.

Several top‑ranked metros have median annual salaries above the $69,280 national median for training and development specialists. For example, New York-Newark-Jersey City, NY-NJ has a median salary of $79,840, which is higher than the national figure. Among the top 10 metros, San Jose-Sunnyvale-Santa Clara, CA reports a median salary of $104,770, and San Francisco-Oakland-Fremont, CA shows $95,050. Dothan, AL has the highest median salary in this top‑10 set at $120,020. Each of these values is above the national median, but they correspond to very different employment counts and rankings in the LaborCove results. Other high‑ranking metros combine salaries modestly above the national level with sizable employment counts. Los Angeles-Long Beach-Anaheim, CA has a median salary of $71,990, and Dallas-Fort Worth-Arlington, TX stands at $71,010, both above the national median within this occupation.

LaborCove’s number‑one ranked metro, New York-Newark-Jersey City, NY-NJ, pairs a Geography Score of 71.76 with the largest employment count among the listed metros, at 22,190. This makes it both the highest‑ranked metro and the largest employment center in the top‑10 list for training and development specialists. Los Angeles-Long Beach-Anaheim, CA has an employment count of 15,030, which is smaller than New York-Newark-Jersey City, NY-NJ but still substantial compared with other metros in the top 10. Washington-Arlington-Alexandria, DC-VA-MD-WV has 11,490 employed training and development specialists, and Dallas-Fort Worth-Arlington, TX has 12,930. Several metros in the top 10 combine moderate employment counts with strong LaborCove Geography Scores. Boston-Cambridge-Newton, MA-NH has 9,360 employed training and development specialists, while Philadelphia-Camden-Wilmington, PA-NJ-DE-MD reports 7,980, both contributing to their presence in the top‑10 rankings.

Some metros in the top 10 stand out by pairing high median salaries with comparatively smaller employment counts. Dothan, AL has a median salary of $120,020 alongside employment of 120 training and development specialists. San Jose-Sunnyvale-Santa Clara, CA shows a median salary of $104,770 with 3,310 employed in this occupation. San Francisco-Oakland-Fremont, CA also illustrates this pattern to a degree, with a median salary of $95,050 and 6,310 employed training and development specialists. Seattle-Tacoma-Bellevue, WA shows a median salary of $89,550 and employment of 5,120. These metros combine above‑national salaries with employment totals that are smaller than the largest hubs such as New York-Newark-Jersey City, NY-NJ and Los Angeles-Long Beach-Anaheim, CA. The presence of these metros in the top 10 indicates that the LaborCove Geography Score can favor different combinations of salary and employment levels, rather than aligning exclusively with the largest markets.

LaborCove’s top‑ranked metro for training and development specialists is New York-Newark-Jersey City, NY-NJ, with a Geography Score of 71.76. San Jose-Sunnyvale-Santa Clara, CA holds the number‑two rank with a Geography Score of 56.95, and Los Angeles-Long Beach-Anaheim, CA is ranked third with a Geography Score of 55.61. The rankings show that the highest median salary within the top 10 does not automatically translate into the highest Geography Score. For instance, Dothan, AL has the highest median salary in the list at $120,020 but is ranked ninth, with a Geography Score of 47.73. In contrast, Washington-Arlington-Alexandria, DC-VA-MD-WV is ranked fifth with a Geography Score of 53.37 and a lower median salary of $82,400. Similarly, Boston-Cambridge-Newton, MA-NH ranks sixth with a Geography Score of 52.51 and a median salary of $83,800, while Seattle-Tacoma-Bellevue, WA ranks eighth with a Geography Score of 48.78 and a median salary of $89,550. These comparisons underscore that LaborCove’s rankings reflect the composite Geography Score rather than salary alone.

For training and development specialists, the top‑ranked metros in LaborCove’s data highlight a range of labor‑market profiles. New York-Newark-Jersey City, NY-NJ combines the highest Geography Score, the largest employment count among these metros, and a median salary above the national level. On the other hand, metros like San Jose-Sunnyvale-Santa Clara, CA, San Francisco-Oakland-Fremont, CA, and Dothan, AL show that very high salaries can be found in markets with smaller employment counts and varied rankings. Meanwhile, metros such as Los Angeles-Long Beach-Anaheim, CA; Washington-Arlington-Alexandria, DC-VA-MD-WV; Boston-Cambridge-Newton, MA-NH; Dallas-Fort Worth-Arlington, TX; Seattle-Tacoma-Bellevue, WA; and Philadelphia-Camden-Wilmington, PA-NJ-DE-MD combine above‑national or near‑national salaries with mid‑to‑large employment counts and solid Geography Scores. Career planners can use these rankings to compare how salary, employment levels, and Geography Scores align with their own preferences. Because individual circumstances vary and metro‑level growth rates are not supplied, these data points are best treated as structured inputs to a broader decision rather than stand‑alone prescriptions.

LaborCove’s metro rankings for training and development specialists use authoritative U.S. labor‑market data combined with the proprietary LaborCove Geography Score. For this article, all occupational employment and wage data refer to the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) reference period of May 2025. The report year 2026 is the publication and product year, not the OEWS observation year. The LaborCove Geography Score is a composite indicator that allows metros to be ranked against one another. The detailed formula is not provided here, but higher scores reflect a stronger overall showing in LaborCove’s methodology for this specific occupation. Because the underlying components are not broken out, this article does not attribute a metro’s ranking to any single factor such as salary or employment alone. National projected employment growth of 10.8% for training and development specialists is a separate, national‑level projection and is not derived from OEWS. No projected growth rates are supplied for individual metros, so this article does not assign or imply metro‑level growth. Readers should use these rankings as one input to decision‑making and weigh them alongside personal considerations such as preferred industries, commuting patterns, or non‑labor‑market factors not captured in this dataset.