| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152 | [discrete][[esql-agg-median]]=== `MEDIAN`*Syntax*[source,esql]----MEDIAN(expression)----*Parameters*`expression`::Expression from which to return the median value.*Description*Returns the value that is greater than half of all values and less than half ofall values, also known as the 50% <<esql-agg-percentile>>.NOTE: Like <<esql-agg-percentile>>, `MEDIAN` is <<esql-agg-percentile-approximate,usually approximate>>.[WARNING]====`MEDIAN` is also {wikipedia}/Nondeterministic_algorithm[non-deterministic].This means you can get slightly different results using the same data.====*Example*[source.merge.styled,esql]----include::{esql-specs}/stats_percentile.csv-spec[tag=median]----[%header.monospaced.styled,format=dsv,separator=|]|===include::{esql-specs}/stats_percentile.csv-spec[tag=median-result]|===The expression can use inline functions. For example, to calculate the median ofthe maximum values of a multivalued column, first use `MV_MAX` to get themaximum value per row, and use the result with the `MEDIAN` function:[source.merge.styled,esql]----include::{esql-specs}/stats_percentile.csv-spec[tag=docsStatsMedianNestedExpression]----[%header.monospaced.styled,format=dsv,separator=|]|===include::{esql-specs}/stats_percentile.csv-spec[tag=docsStatsMedianNestedExpression-result]|===
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