Key Takeaways
- In 2023, U.S. television households numbered 122.4 million, representing 96% of all households.
- Average daily TV viewing time per U.S. person aged 2+ was 2 hours and 32 minutes in Q1 2024.
- Live + same-day TV viewing among U.S. adults 18-49 declined to 17.5 hours per week in 2023.
- Global TV ad revenue reached $184 billion in 2023.
- U.S. pay-TV revenue declined 8% to $93 billion in 2023.
- Netflix generated $33.7 billion in total revenue for 2023.
- Average cost of U.S. TV series episode production rose to $4.5 million in 2023.
- 599 scripted TV series aired in the U.S. in 2022, down from 631 peak.
- Global TV content production spend reached $250 billion in 2023.
- 4K TV penetration in U.S. households reached 55% in 2023.
- 65% of U.S. TVs sold in 2023 were smart TVs.
- Global OTT video streams hit 2.5 trillion in 2023.
- U.S. TV ad spend $61 billion in 2023.
- National TV ad revenue $42 billion in U.S. 2023.
- Super Bowl LVII ad slots sold for average $7 million each.
TV remains widely viewed but its audience is aging as viewing habits rapidly shift to streaming.
Advertising
Advertising Interpretation
Production
Production Interpretation
Revenue
Revenue Interpretation
Technology
Technology Interpretation
Viewership
Viewership Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Thomas Lindqvist. (2026, February 13). Television Statistics. Gitnux. https://gitnux.org/television-statistics
Thomas Lindqvist. "Television Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/television-statistics.
Thomas Lindqvist. 2026. "Television Statistics." Gitnux. https://gitnux.org/television-statistics.
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