---
language:
- en
- ja
- es
- de
- fr
- pt
- ru
- hi
multilinguality:
- multilingual
size_categories:
- 1K<n<10K
task_categories:
- text-classification
- time-series-forecasting
- question-answering
tags:
- trends
- google
- search-data
- culture
- historical-data
- social-media
- entertainment
- news
- sports
- technology
pretty_name: Google Trending Words (2001-2024)
dataset_info:
  features:
  - name: word
    dtype: string
  - name: year
    dtype: int64
  - name: tag
    dtype: string
  - name: rank
    dtype: int64
  splits:
  - name: train
    num_bytes: 156632
    num_examples: 2453
  - name: test
    num_bytes: 21144
    num_examples: 331
  - name: full
    num_bytes: 177776
    num_examples: 2784
  download_size: 95342
  dataset_size: 355552
license: cc-by-4.0
---

# Google Trending Words Dataset (2001-2024)

## Dataset Description

This dataset contains Google trending words and search terms from 2001 to 2024, capturing 24 years of internet culture, major events, and global trends. The dataset includes 2,784 entries across 93 standardized categories, providing a comprehensive view of what captured the world's attention over more than two decades.

### Dataset Summary

- **Total Entries:** 2,784
- **Years Covered:** 2001-2024 (24 years)
- **Categories:** 93 unique tags
- **Languages:** Primarily English, with some entries in other languages (Japanese, Spanish, German, French, Portuguese, Russian, Hindi, etc.)
- **Format:** CSV

### Supported Tasks

- Trend analysis and forecasting
- Cultural studies and digital humanities research
- Natural language processing
- Sentiment analysis over time
- Cross-cultural comparison
- Historical event tracking
- Search behavior analysis

## Dataset Structure

### Data Fields

- `word` (string): The trending word, phrase, or search term
- `year` (integer): The year the term was trending (2001-2024)
- `tag` (string): Category or classification of the trending term
- `rank` (integer): Ranking within the tag for that year (1 = most popular/first in list)

### Trends

Olympic Cycle Pattern (Highly Predictable)
* Athletes trend every 4 years (2004, 2008, 2012, 2016, 2020, 2024)
* Heatmap shows clear bands
* Prediction: 2028 will spike Athletes category

Movie vs TV Inverse Relationship
* Movies surge post-2018, TV declines
* Streaming era shifted consumption
* Prediction: Movies will continue dominating over TV

### Licensing Information
This dataset compilation is provided for research and educational purposes. The underlying data comes from Google's publicly released Year in Search reports. Users should consult Google's terms of service for any commercial applications.