Best Metro Areas for Cost Estimators: New York Tops List as High‑Pay Hubs Like San Francisco and Boston Trail in Overall Score

For cost estimators, the national median annual salary of $78,740 and national employment of 224,220 provide broad context, but they don’t capture how unevenly pay and employment are distributed across specific metro areas. LaborCove’s metro ranking highlights that the #1 metro by Geography Score, New York‑Newark‑Jersey City, NY‑NJ, combines the highest employment count in the dataset with pay above the national median, while other metros earn high rankings with very different mixes of salary and employment. Several metros in the top 10 show median salaries well above the national figure, including San Francisco‑Oakland‑Fremont, CA; Boston‑Cambridge‑Newton, MA‑NH; Seattle‑Tacoma‑Bellevue, WA; and San Jose‑Sunnyvale‑Santa Clara, CA. At the same time, employment counts vary widely: New York‑Newark‑Jersey City has 11,610 cost estimator jobs in the supplied data, compared with 1,680 in San Jose‑Sunnyvale‑Santa Clara. This demonstrates that LaborCove’s Geography Score is not a simple reflection of either salary or employment alone. National projected employment growth for cost estimators is -4.2%, indicating a projected decline for the occupation across the U.S. as a whole. That projection is national only and does not describe conditions in any specific metro area, but it provides context for why it can be useful to look closely at where existing employment is concentrated and how top metros compare in compensation and LaborCove rankings.

New York‑Newark‑Jersey City, NY‑NJ ranks #1 in LaborCove’s metro list for cost estimators with a Geography Score of 75.35. Its median annual salary is $82,380, which is above the national median of $78,740 in the supplied data. New York‑Newark‑Jersey City also has the largest employment count in the dataset at 11,610 cost estimator jobs, while the national employment total for the occupation is 224,220. Within the top 10 metros, this employment count is larger than any of the others listed, including Los Angeles‑Long Beach‑Anaheim, CA at 7,600 and Dallas‑Fort Worth‑Arlington, TX at 6,200. The combination of a Geography Score of 75.35, a median salary above the national figure, and the largest metro‑level employment count in the supplied data helps distinguish New York‑Newark‑Jersey City from the rest of the top 10, even though its salary is not the highest among all ranked metros.

Several metros in the top 10 show median salaries that are notably higher than the national median of $78,740. San Francisco‑Oakland‑Fremont, CA has a median salary of $101,630, and Boston‑Cambridge‑Newton, MA‑NH reports an even higher median of $102,640. Seattle‑Tacoma‑Bellevue, WA and San Jose‑Sunnyvale‑Santa Clara, CA also stand out relative to the national figure, with median salaries of $94,490 and $97,580, respectively. Each of these metros sits well above the national median salary based on the supplied values. Despite these high salaries, none of these metros ranks #1 in the LaborCove list; instead, they appear between ranks #2 and #6. This shows that while elevated pay is a strong feature of these markets, LaborCove’s Geography Score and rankings reflect more than salary alone.

Boston‑Cambridge‑Newton, MA‑NH has the highest median salary among the listed metros at $102,640, and San Francisco‑Oakland‑Fremont, CA is close behind at $101,630. Yet, Boston ranks #3 with a Geography Score of 62.67, while San Francisco ranks #2 with a Geography Score of 64.46. San Jose‑Sunnyvale‑Santa Clara, CA reports a median salary of $97,580, which is higher than the $82,380 median salary in New York‑Newark‑Jersey City, NY‑NJ. Even so, San Jose ranks #6 with a Geography Score of 59.81, while New York‑Newark‑Jersey City is ranked #1 with a Geography Score of 75.35. These comparisons illustrate that a higher median salary does not automatically translate into a higher LaborCove Geography Score or ranking. The scoring system, as reflected in the supplied results, differentiates metros in ways that go beyond pay levels alone.

Employment counts for cost estimators differ substantially among the top 10 metros. New York‑Newark‑Jersey City, NY‑NJ has 11,610 cost estimator jobs in the supplied data, while Los Angeles‑Long Beach‑Anaheim, CA has 7,600 and Dallas‑Fort Worth‑Arlington, TX has 6,200. By contrast, San Francisco‑Oakland‑Fremont, CA and Boston‑Cambridge‑Newton, MA‑NH each show employment counts just above 3,000—3,300 and 3,110, respectively—while San Jose‑Sunnyvale‑Santa Clara, CA has 1,680. Chicago‑Naperville‑Elgin, IL‑IN sits between these extremes with 4,610. These differences in employment counts exist alongside the variation in median salaries and Geography Scores. The rankings therefore present a range of metro profiles, from larger employment centers like New York‑Newark‑Jersey City and Los Angeles‑Long Beach‑Anaheim to smaller‑employment markets such as San Jose‑Sunnyvale‑Santa Clara within the same top‑10 group.

Metros ranked between #7 and #10 in the LaborCove list provide additional contrasts. Denver‑Aurora‑Centennial, CO at rank #7 has a median salary of $89,820, while Washington‑Arlington‑Alexandria, DC‑VA‑MD‑WV at rank #8 has a median salary of $89,330. Their Geography Scores are 54.81 and 54.52, respectively, and their employment counts are close as well, at 3,690 and 3,780. Dallas‑Fort Worth‑Arlington, TX holds rank #9 with a Geography Score of 54.42, a median salary of $79,290, and employment of 6,200. Chicago‑Naperville‑Elgin, IL‑IN ranks #10 with a Geography Score of 52.69, a median salary of $83,640, and employment of 4,610. Compared with the national median salary of $78,740, Denver‑Aurora‑Centennial, Washington‑Arlington‑Alexandria, Dallas‑Fort Worth‑Arlington, and Chicago‑Naperville‑Elgin all show higher median pay in the supplied data. Their placement in the #7–#10 range highlights how Geography Scores and rankings can group together metros with somewhat similar scores but different combinations of salary and employment.

LaborCove’s metro rankings for cost estimators use authoritative U.S. labor‑market data, including Occupational Employment and Wage Statistics (OEWS) observations from May 2025, combined with LaborCove’s Geography Score methodology. For each metro, the dataset includes a median annual salary, an employment count, and a LaborCove Geography Score, which are then used to produce the ranking shown here. The national projected employment growth rate of -4.2% for cost estimators is a separate national occupational projection and is not an OEWS observation and not a geographic forecast. It applies to the occupation nationally and should not be interpreted as a projection for any specific state or metro area. LaborCove’s Geography Score is a composite measure reported directly in the evidence; this article uses the supplied scores and ranks without inferring how individual metrics are weighted inside the score. Job seekers should interpret these rankings as structured comparisons of salary, employment, and Geography Score, and then weigh them against their own priorities such as personal circumstances and non‑labor‑market factors that are outside the scope of this data.