The International Google Trends dataset will provide critical signals that individual users and businesses alike can leverage to make better data-driven decisions. This dataset simplifies the manual interaction with the existing Google Trends UI by automating and exposing anonymized, aggregated, and indexed search data in BigQuery. This dataset includes the Top 25 stories and Top 25 Rising queries from Google Trends. It will be made available as two separate BigQuery tables, with a set of new top terms appended daily. Each set of Top 25 and Top 25 rising expires after 30 days, and will be accompanied by a rolling five-year window of historical data for each country and region across the globe, where data is available. This Google dataset is hosted in Google BigQuery as part of Google Cloud's Datasets solution and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery
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Google Search Trends: Travel & Accommodations: American Airlines data was reported at 1.000 Score in 14 May 2025. This stayed constant from the previous number of 1.000 Score for 13 May 2025. Google Search Trends: Travel & Accommodations: American Airlines data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 19.000 Score in 02 Nov 2022 and a record low of 0.000 Score in 03 May 2025. Google Search Trends: Travel & Accommodations: American Airlines data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s China – Table CN.Google.GT: Google Search Trends: by Categories.
As of June 2024, global Google searches for the word "ChatGPT" increased again after a slight decline by the end of 2024. Interest in the chatbot, developed by the U.S.-based OpenAI and launched in November 2022, started rising in the week ending December 3, 2022. Recently, growing demand for information on ChatGPT made the keyword hit a peak of 100 index points during the week ending on June 2, 2024. ChatGPT, which stands for Chat Generative Pre-trained Transformer, is a chatbot and AI-powered auto-generative text system able to give human-sounding replies and reproduce human-like interactions when prompted.
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Google Search Trends: Travel & Accommodations: Booking.com data was reported at 2.000 Score in 14 May 2025. This stayed constant from the previous number of 2.000 Score for 13 May 2025. Google Search Trends: Travel & Accommodations: Booking.com data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 19.000 Score in 21 Apr 2023 and a record low of 0.000 Score in 02 May 2025. Google Search Trends: Travel & Accommodations: Booking.com data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s China – Table CN.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Online Classroom: Google Classroom data was reported at 40.000 Score in 14 May 2025. This records a decrease from the previous number of 47.000 Score for 13 May 2025. Google Search Trends: Online Classroom: Google Classroom data is updated daily, averaging 32.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 06 Mar 2023 and a record low of 0.000 Score in 02 May 2025. Google Search Trends: Online Classroom: Google Classroom data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.Google.GT: Google Search Trends: by Categories.
The COVID-19 Search Trends symptoms dataset shows aggregated, anonymized trends in Google searches for a broad set of health symptoms, signs, and conditions. The dataset provides a daily or weekly time series for each region showing the relative volume of searches for each symptom. This dataset is intended to help researchers to better understand the impact of COVID-19. It shouldn't be used for medical diagnostic, prognostic, or treatment purposes. It also isn't intended to be used for guidance on personal travel plans. To learn more about the dataset, how we generate it and preserve privacy, read the data documentation . To visualize the data, try exploring these interactive charts and map of symptom search trends . As of Dec. 15, 2020, the dataset was expanded to include trends for Australia, Ireland, New Zealand, Singapore, and the United Kingdom. This expanded data is available in new tables that provide data at country and two subregional levels. We will not be updating existing state/county tables going forward. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .
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Background: Alongside the COVID-19 pandemic, government authorities around the world have had to face a growing infodemic capable of causing serious damages to public health and economy. In this context, the use of infoveillance tools has become a primary necessity.Objective: The aim of this study is to test the reliability of a widely used infoveillance tool which is Google Trends. In particular, the paper focuses on the analysis of relative search volumes (RSVs) quantifying their dependence on the day they are collected.Methods: RSVs of the query coronavirus + covid during February 1—December 4, 2020 (period 1), and February 20—May 18, 2020 (period 2), were collected daily by Google Trends from December 8 to 27, 2020. The survey covered Italian regions and cities, and countries and cities worldwide. The search category was set to all categories. Each dataset was analyzed to observe any dependencies of RSVs from the day they were gathered. To do this, by calling i the country, region, or city under investigation and j the day its RSV was collected, a Gaussian distribution Xi=X(σi,x¯i) was used to represent the trend of daily variations of xij=RSVsij. When a missing value was revealed (anomaly), the affected country, region or city was excluded from the analysis. When the anomalies exceeded 20% of the sample size, the whole sample was excluded from the statistical analysis. Pearson and Spearman correlations between RSVs and the number of COVID-19 cases were calculated day by day thus to highlight any variations related to the day RSVs were collected. Welch’s t-test was used to assess the statistical significance of the differences between the average RSVs of the various countries, regions, or cities of a given dataset. Two RSVs were considered statistical confident when t
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Google Search Trends: Government Measures: Government Subsidy data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. Google Search Trends: Government Measures: Government Subsidy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 42.000 Score in 30 May 2023 and a record low of 0.000 Score in 14 May 2025. Google Search Trends: Government Measures: Government Subsidy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Uzbekistan – Table UZ.Google.GT: Google Search Trends: by Categories.
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Fitted models and outliers in the individual and averaged Google Trends search volume time series per country.
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Uzbekistan Google Search Trends: Travel & Accommodations: Airbnb data was reported at 3.000 Score in 14 May 2025. This stayed constant from the previous number of 3.000 Score for 13 May 2025. Uzbekistan Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 23.000 Score in 22 Jul 2023 and a record low of 0.000 Score in 02 May 2025. Uzbekistan Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Uzbekistan – Table UZ.Google.GT: Google Search Trends: by Categories.
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Search parameters used for Google Trends.
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Google Search Trends: Government Measures: Unemployment Benefits data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. Google Search Trends: Government Measures: Unemployment Benefits data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 07 Dec 2024 and a record low of 0.000 Score in 14 May 2025. Google Search Trends: Government Measures: Unemployment Benefits data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Travel & Accommodations: AirAsia data was reported at 8.000 Score in 01 Oct 2022. This records an increase from the previous number of 0.000 Score for 30 Sep 2022. Google Search Trends: Travel & Accommodations: AirAsia data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 01 Oct 2022, with 305 observations. The data reached an all-time high of 22.000 Score in 22 Mar 2022 and a record low of 0.000 Score in 30 Sep 2022. Google Search Trends: Travel & Accommodations: AirAsia data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Bahamas – Table BS.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Travel & Accommodations: AirAsia data was reported at 0.000 Score in 01 Oct 2022. This stayed constant from the previous number of 0.000 Score for 30 Sep 2022. Google Search Trends: Travel & Accommodations: AirAsia data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 01 Oct 2022, with 305 observations. The data reached an all-time high of 45.000 Score in 12 Jan 2022 and a record low of 0.000 Score in 01 Oct 2022. Google Search Trends: Travel & Accommodations: AirAsia data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Guyana – Table GY.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Economic Measures: Mortgage Loan data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 23 Jan 2022 and a record low of 0.000 Score in 14 May 2025. Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Yemen – Table YE.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Travel & Accommodations: American Airlines data was reported at 2.000 Score in 14 May 2025. This records a decrease from the previous number of 3.000 Score for 13 May 2025. Google Search Trends: Travel & Accommodations: American Airlines data is updated daily, averaging 1.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 50.000 Score in 30 Jan 2025 and a record low of 0.000 Score in 02 May 2025. Google Search Trends: Travel & Accommodations: American Airlines data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Taiwan – Table TW.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Computer & Electronics: Apple data was reported at 25.000 Score in 15 May 2025. This stayed constant from the previous number of 25.000 Score for 14 May 2025. Google Search Trends: Computer & Electronics: Apple data is updated daily, averaging 27.000 Score from Dec 2021 (Median) to 15 May 2025, with 1262 observations. The data reached an all-time high of 100.000 Score in 10 Sep 2024 and a record low of 0.000 Score in 08 Apr 2023. Google Search Trends: Computer & Electronics: Apple data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Taiwan – Table TW.Google.GT: Google Search Trends: by Categories.
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Jordan Google Search Trends: Online Movie: Pornhub data was reported at 51.000 Score in 14 May 2025. This records a decrease from the previous number of 54.000 Score for 13 May 2025. Jordan Google Search Trends: Online Movie: Pornhub data is updated daily, averaging 46.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 24 Jul 2022 and a record low of 0.000 Score in 06 Apr 2023. Jordan Google Search Trends: Online Movie: Pornhub data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Jordan – Table JO.Google.GT: Google Search Trends: by Categories.
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Google Search Trends: Travel & Accommodations: American Airlines data was reported at 0.000 Score in 15 May 2025. This stayed constant from the previous number of 0.000 Score for 14 May 2025. Google Search Trends: Travel & Accommodations: American Airlines data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 15 May 2025, with 1262 observations. The data reached an all-time high of 92.000 Score in 02 Jan 2025 and a record low of 0.000 Score in 15 May 2025. Google Search Trends: Travel & Accommodations: American Airlines data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Samoa – Table WS.Google.GT: Google Search Trends: by Categories.
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Cameroon Google Search Trends: Online Shopping: Tmall data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. Cameroon Google Search Trends: Online Shopping: Tmall data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 14.000 Score in 17 Jun 2023 and a record low of 0.000 Score in 14 May 2025. Cameroon Google Search Trends: Online Shopping: Tmall data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Cameroon – Table CM.Google.GT: Google Search Trends: by Categories.
The International Google Trends dataset will provide critical signals that individual users and businesses alike can leverage to make better data-driven decisions. This dataset simplifies the manual interaction with the existing Google Trends UI by automating and exposing anonymized, aggregated, and indexed search data in BigQuery. This dataset includes the Top 25 stories and Top 25 Rising queries from Google Trends. It will be made available as two separate BigQuery tables, with a set of new top terms appended daily. Each set of Top 25 and Top 25 rising expires after 30 days, and will be accompanied by a rolling five-year window of historical data for each country and region across the globe, where data is available. This Google dataset is hosted in Google BigQuery as part of Google Cloud's Datasets solution and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery