Daily Google Search Volume for Emotions Keywords

This data page presents daily search volume metrics for emotion-related keywords in the United States. The dataset tracks search behavior for five core emotional terms: angry, depressed, happy, lonely, and sad, providing insights into how frequently users in the en-US locale search for these emotional states.

Search volume data is collected through aggregated search query analysis, reflecting actual user behavior patterns across major search engines. The metrics capture daily and monthly search frequencies, allowing researchers, marketers, and analysts to understand public interest and search trends related to emotional well-being and mental health topics.

The dataset serves multiple analytical purposes. Mental health professionals can observe seasonal patterns or correlations with external events. Content creators can identify peak interest periods for relevant topics. Researchers studying digital behavior can examine how emotional states are expressed through search queries. The data reflects real search behavior from users in the United States, providing a transparent view of public interest in these fundamental emotional experiences.