Head to head
Which skill should you learn next? Score both against real job postings.
Python
170
scored postings
Demand index
Posted pay (US)
SQL
414
scored postings
Demand index
Posted pay (US)
Demand index: the larger skill is 100, the other is scaled to it.
The matchup
ShouldApply has scored 6,679 job postings. Python appears in 170 of them (2.5%) and SQL in 414 (6.2%). 74 postings list both, which is 15% of everything that lists either one.
Each bar below uses one ruler for both skills. The leader on a metric gets a gold edge and a Leads label. Pay uses US postings that list a salary, ghost risk is the share of postings with a ghost probability of 50% or higher, and depth is the level (L0 to L5) the scoring engine assigned to the skill when it read the posting, not a stated years-of-experience ask.
Head to head
SQL has 144% more postings than Python.
Scored postings that list the skill.
Python postings pay $21K more at the median (16%).
US postings that list pay (39 and 82).
The scoring engine reads Python at a deeper level on average, by 0.6 of a level.
Level the scoring engine assigned to the skill, L0 to L5.
Python postings are less likely to carry high ghost signals, 16% against 28%.
Share of postings with a ghost probability of 50% or higher.
SQL postings are flagged remote-friendly more often, 46% against 34%.
Share of postings flagged remote.
Based on 6,679 scored job postings, updated . The pool refreshes every 2 hours from 4 job boards.
Strengths
Where it is used
Role mix
Both skills appear together in 15% of the postings that list either one (74 postings).
Pay and depth
PythonSQL
Demand over time
Python: growing (+608%). SQL: growing (+256%). Python postings: 85 in the newer half of the last 90 days against 12 in the older half. SQL: 96 against 27.
Counts scored postings by posted date, closed ones included. Change compares the newer half of the window with the older half.
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The verdict
Python leads on a higher median posted salary, deeper scored skill levels, and lower ghost risk. SQL leads on more job openings and more remote-friendly roles. Your pick depends on the job you want next, and plenty of postings ask for both (15% of those that list either).
Go deeper on each: Python demand and depth and SQL demand and depth.
The data does not crown one. SQL appears in 414 scored postings against 170 for Python, which is 144% more openings. On pay, Python has the higher posted median ($151K against $130K). 15% of postings that list either skill list both, so learning one rarely closes the door on the other.
Python has the higher median at $151K from 39 US postings, against $130K for SQL from 82. The gap is $21K. Pay follows the role and seniority more than the single skill, so check the role pages below.
Yes, and employers often expect it. 74 scored postings list both skills, 15% of every posting that lists either one. Postings that want only Python lean toward Software Engineer roles; only-SQL postings lean toward Data Analyst.
SQL does, with 414 scored postings (6.2% of everything scored) against 170 (2.5%) for Python. Over the last 90 days, Python is growing and SQL is growing by posted date.
Python shows up most in Data Scientist postings and SQL in Data Analyst postings. The scoring engine reads Python at an average depth of L3.0 and SQL at L2.4. Python postings carry high ghost signals 16% of the time, SQL 28%.