This page is a quick reference checkpoint for PERCENT_RANK in Snowflake: behavior, syntax rules, edge cases, and a minimal example; plus the official vendor documentation.
PERCENT_RANK returns a row's relative rank as a percentage between 0 and 1.
Returns the relative rank of a value within a group of values, expressed from 0.0 to 1.0; supports only fixed-range window frames (e.g., RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW).
If this behavior feels unintuitive, the tutorial below explains the underlying pattern step-by-step.
PERCENT_RANK() OVER ( [ PARTITION BY <expr1> ] ORDER BY <expr2> [ { ASC | DESC } ] [ <fixedRangeFrame> ] )
SELECT exchange, symbol, PERCENT_RANK() OVER (PARTITION BY exchange ORDER BY price) AS percent_rank FROM trades;
If you came here to confirm syntax, you’re done. If you came here to get better at window functions, choose your next step.
PERCENT_RANK is part of a bigger window-function pattern. If you want the “why”, start here: Percentile Distribution
Reading docs is useful. Writing the query correctly under pressure is the skill.
For the authoritative spec, use the vendor docs. This page is the fast “sanity check”.
View Snowflake Documentation →Looking for more functions across all SQL dialects? Visit the full SQL Dialects & Window Functions Documentation.