GA4 Demographic Dimensions to BigQuery Mapping

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By mapping GA4 Demographic Dimensions to BigQuery fields, you can analyze available demographic data (e.g., gender distribution) to identify general trends within your user base.

If you obtain user consent, you can create custom user properties in GA4 to capture additional demographic information (e.g., location, interests). These would have separate BigQuery fields.

Here’s a breakdown of GA4 Demographic dimensions and their corresponding BigQuery fields:

GA4 Demographics DimensionsWhat it isBigQuery Field Name (Formula)
AgeCategorizes the user’s age into groups such as ’18-24′, ’25-34′, etc.user_demographics.age_group AS age_group
GenderIdentifies the user’s gender, typically classified as ‘Male’ or ‘Female’.user_demographics.gender AS gender
InterestsDescribes the user’s interests in various categories like Arts & Entertainment, Games, Sports.user_properties.value.string_value AS interests

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About the Author

Himanshu Sharma

  • Founder, OptimizeSmart.com
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