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> Mirror of <https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/skewness-pop.html> (Salesforce, Data 360 Query Guide), read 2026-10-23. Salesforce's own page is the authority; this copy exists because that site refuses non-browser readers.

## `SKEWNESS_POP`

**Applies to:** ✅ Data 360 SQL ✅ Tableau Hyper API

Computes the population skewness of input values. Skewness measures the asymmetry of a distribution: positive values indicate a longer right tail, negative values indicate a longer left tail, and zero indicates a symmetric distribution.

*   `<expression>`: An expression of any numerical type.

Returns a `double precision` value.

Returns NULL when fewer than three non-null input values are provided or when all non-null values are identical.

*   Use `SKEWNESS_POP` when the data is the complete population of interest (for example, every order in a closed quarter). Use [`SKEWNESS_SAMP`](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/skewness-samp.html) when the data is a sample drawn from a larger population.
*   Computes the Fisher–Pearson population coefficient of skewness, without bias correction.
*   For large row counts, `SKEWNESS_POP` and `SKEWNESS_SAMP` converge.
*   Ignores NULL inputs. Any NaN or infinite input propagates to a NaN result.

Check whether last quarter’s order totals are skewed toward a few large purchases.

Compare the asymmetry of score distributions across cohorts.

*   [SKEWNESS_SAMP](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/skewness-samp.html)
*   [KURTOSIS](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/kurtosis.html)
*   [STDDEV_POP](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/stddev-pop.html)
*   [Aggregate Functions](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/aggregate.html)


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