How Trends data is adjusted

Trends adjusts search data to make comparisons between terms easier.

Search results are proportionate to the time and location of a query by the following process:

  • Each data point is divided by the total searches of the geography and time range it represents to compare relative popularity. Otherwise, places with the most search volume would always be ranked highest.
  • The resulting numbers are then scaled on a range of 0 to 100 based on a topic’s proportion to all searches on all topics.
  • Different regions that show the same search interest for a term don't always have the same total search volumes.

Where Trends data comes from

Google Trends data is an unbiased sample of Google search data. Only a percentage of searches are used to compile Trends data.

There are 2 types of Trends data:

  • Realtime data is a random sample of searches from the last 7 days
  • Non-realtime data is a random sample of Google search data that can be pulled from as far back as 2004 and up to 36 hours before your search

After search data is collected, we categorize it, connect it to a topic, and remove any personal information.

Data that is excluded

  • Searches made by very few people: Trends only shows data for popular terms, so search terms with low volume appear as "0"
  • Duplicate searches: Trends eliminates repeated searches from the same person over a short period of time
  • Special characters: Trends filters out queries with apostrophes and other special characters