U.S. 2020 Election Facebook Ads Reach by Age Standard Deviation

The 2020 U.S. election period dataset contains information about reach and impressions for social issues, elections, and politics ads on Facebook and Instagram. It was created by Meta Platforms, Inc. in partnership with academic researchers to study political attitudes and behaviors.

Use Cases

• Analyze the relationship between ad reach and the standard deviation of audience age for political ads.
• Study impressions patterns for social issues, elections, and politics ads during the 2020 U.S. election.
• Investigate the distribution of ad reach across different political ad categories.

Strengths

• Data originates from a partnership between Meta and academic researchers, ensuring a research-grade foundation.
• Focuses on the specific 2020 U.S. election period, providing temporal context.
• Includes ads categorized as social issues, elections, and politics, allowing for categorical analysis.

Limitations

• Key metadata like row count, column names, and file size is unavailable, hindering assessment of scale and structure.
• The dataset's specific calculation method for the 'standard deviation of ages' metric is not described.
• Data is limited to the U.S. 2020 election, limiting generalizability to other geographies or time periods.

Provenance

Source

Meta Platforms, Inc.

Collection Method

Partnership between Meta and academic researchers for the U.S. 2020 Facebook and Instagram Election Study (US 2020 FIES).

Time Range

2020 U.S. election period.

Freshness

Last updated metadata indicates 2026-02-23, but the underlying data covers the 2020 election period.

Geography

United States.