How to calculate the median in SQL?
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🔹 Steps to calculate the median:
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Order the data by the column you want the median for.
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Find the middle value(s):
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If the dataset has an odd number of rows → median is the middle value.
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If the dataset has an even number of rows → median is the average of the two middle values.
Order the data by the column you want the median for.
Find the middle value(s):
-
If the dataset has an odd number of rows → median is the middle value.
-
If the dataset has an even number of rows → median is the average of the two middle values.
🔹 General SQL Approach (using Window Functions like ROW_NUMBER, COUNT):
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Use ROW_NUMBER() to assign a rank to each row when ordered.
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Use COUNT(*) to find the total number of rows.
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Pick the row(s) in the middle based on count.
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If odd → pick the middle row.
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If even → average the two middle rows.
Use ROW_NUMBER() to assign a rank to each row when ordered.
Use COUNT(*) to find the total number of rows.
Pick the row(s) in the middle based on count.
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If odd → pick the middle row.
-
If even → average the two middle rows.
🔹 Database Support:
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PostgreSQL / Oracle → support PERCENTILE_CONT(0.5) and PERCENTILE_DISC(0.5) which directly calculate the median.
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SQL Server / MySQL (8.0+) → require window function logic (ROW_NUMBER, NTILE, etc.).
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Older MySQL versions → need subqueries with LIMIT and OFFSET tricks.
PostgreSQL / Oracle → support PERCENTILE_CONT(0.5) and PERCENTILE_DISC(0.5) which directly calculate the median.
SQL Server / MySQL (8.0+) → require window function logic (ROW_NUMBER, NTILE, etc.).
Older MySQL versions → need subqueries with LIMIT and OFFSET tricks.
✅ In short:
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SQL doesn’t usually provide a direct
MEDIAN()function. -
You calculate it by ordering rows and picking the middle one (or averaging the two middle ones).
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Some databases (PostgreSQL, Oracle) make it easier with built-in percentile functions, while others require custom queries.
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