GA4 Geography Dimensions to BigQuery Mapping

GA4 BigQuery

Mapping GA4 Geography Dimensions to their corresponding BigQuery fields allows you to analyze the geographical distribution of your user base. 

You can identify the countries, regions, or cities where your website or app garners the most interest. 

Don’t overlook the power of geographic data in targeting advertising campaigns. 

By focusing your ads on specific countries, regions, or cities, you can ensure they reach the most relevant audience, potentially boosting your campaign’s effectiveness.

Combine geographic data with other user attributes to create highly targeted customer segments based on location and demographics.

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

GA4 Geography DimensionsWhat it isBigQuery Field Name (Formula)
CityIdentifies the city where user activities, such as website visits, are originating from.SELECT geo.city FROM your_table_name
City IDA unique identifier associated with the city from which user activities are conducted.Not available in BigQuery schema
ContinentSpecifies the continent from which a user is accessing your website or app.SELECT geo.continent FROM your_table_name
Continent IDA unique UN M49 code that corresponds to the continent where the user’s activity originates.Not available in BigQuery schema
CountryDescribes the country from which a user’s activity originates, helping in regional analysis.SELECT geo.country FROM your_table_name
Country IDThe ISO 3166 code representing the country of the user’s activity origin.SELECT geo.country_iso_code FROM your_table_name
RegionIndicates the broader geographic area, like a state or province, from which user activity comes.SELECT geo.region FROM your_table_name
Region IDA code identifying the specific region, such as a state or province code, linked to user activity.Not available in BigQuery schema
SubcontinentDetails the subcontinental area from which the user’s activity is originating, providing more granular geographic data.SELECT geo.sub_continent FROM your_table_name
Subcontinent IDThe UN M49 code that identifies the specific subcontinent where the user’s activity originates.Not available in BigQuery schema

Points to consider

City ID, Continent ID, Region ID, Subcontinent ID: These fields are not standard in the GA4 BigQuery export schema. If these identifiers are necessary, they would need to be derived or added through custom data processing or, if possible, during data collection.

Other articles on GA4 BigQuery

#1 BigQuery Introduction

  1. How to create a new Google Cloud Platform account.
  2. How to create a new BigQuery project.
  3. What is Google BigQuery Sandbox and how to use it.
  4. Understanding the BigQuery User Interface.
  5. What is BigQuery Data Transfer Service & how it works.
  6. How to create data transfer in BigQuery.
  7. Connect and transfer data from Google Sheets to BigQuery.
  8. How to access BigQuery Public Data Sets.
  9. Best Supermetrics Alternative – Dataddo.

#2 GA4 BigQuery Introduction

  1. Google Analytics 4 BigQuery Tutorial for Beginners to Advanced.
  2. GA4 Bigquery Export Schema Tutorial.
  3. GA4 BigQuery – Connect Google Analytics 4 with BigQuery.
  4. events_ & events_intraday_ tables in BigQuery for GA4 (Google Analytics 4).
  5. pseudonymous_users_ & users_ data tables in BigQuery for GA4 (Google Analytics 4).
  6. How to access GA4 Sample Data in BigQuery.
  7. Advantages of using Google BigQuery for Google Analytics 4.
  8. Impact of Google Advanced Consent Mode on BigQuery & GDPR.

#3 GA4 BigQuery Data Transfer

  1. How to Connect and Export Data from GA4 to BigQuery
  2. How to backfill GA4 data in BigQuery.
  3. How to overcome GA4 BigQuery Export limit.
  4. How to Send Custom GA4 Data to BigQuery.
  5. How to backup Universal Analytics data to BigQuery.
  6. How to send data from Google Ads to BigQuery.
  7. How to send data from Google Search Console to BigQuery.
  8. Sending data from Google Analytics to BigQuery without 360.
  9. How to send data from Facebook ads to BigQuery.
  10. How to pull custom data from Google Analytics to BigQuery.

#4 BigQuery Cost Optimization

  1. Guide to BigQuery Cost Optimization.
  2. Using Google Cloud pricing calculator for BigQuery.
  3. Cost of using BigQuery for Google Analytics 4.

#5 Query GA4 BigQuery Data

  1. How to query Google Analytics data in BigQuery.
  2. Query GA4 data in BigQuery without understanding SQL.
  3. Using GA4 BigQuery SQL generator to create SQL queries.
  4. New vs Returning users in GA4 BigQuery data table.
  5. GA4 BigQuery Composer Tutorial for ChatGPT.
  6. How to track GA4 BigQuery Schema Change.
  7. Calculating Sessions and Engaged Sessions in GA4 BigQuery.
  8. Calculating Total Users in GA4 BigQuery.

#6 GA4 to BigQuery Dimension/Metric Mapping.

  1. GA4 to BigQuery Mapping Tutorial.
  2. GA4 Attribution Dimensions to BigQuery Mapping.
  3. GA4 Google Ads Dimensions to BigQuery Mapping.
  4. GA4 Demographic Dimensions to BigQuery Mapping.
  5. GA4 Ecommerce Dimensions to BigQuery Mapping.
  6. GA4 Event-Scoped Ecommerce Metrics to BigQuery Mapping.
  7. GA4 Item-Scoped Ecommerce Metrics to BigQuery Mapping.
  8. GA4 Revenue Metrics to BigQuery Mapping.
  9. GA4 Event Dimensions to BigQuery Mapping.
  10. GA4 Event Metrics to BigQuery Mapping.
  11. GA4 Geography Dimensions to BigQuery Mapping.
  12. GA4 Link Dimensions to BigQuery Mapping.
  13. GA4 Page/Screen Dimensions to BigQuery Mapping.
  14. GA4 Page/Screen Metrics to BigQuery Mapping.
  15. GA4 Platform/Device Dimensions to BigQuery Mapping.
  16. GA4 User-Scoped Traffic Dimensions to BigQuery Mapping.
  17. GA4 Session-Scoped Traffic Dimensions to BigQuery Mapping.
  18. GA4 Session Metrics to BigQuery Mapping.
  19. GA4 User Dimensions to BigQuery Mapping.
  20. GA4 User Metrics to BigQuery Mapping.
  21. GA4 Advertising Metrics to BigQuery Mapping.

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