Based on this YouTube video's total view count of 51.2K views and industry-standard rates, the estimated total earning is $36 - $103 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore The Rise and Fall and Rise(?) of Toys “R” Us, Mapped (1957–2026) with 51,287 views, 543 likes, and 136 comments. Experience the impact of this video content that has captured audience attention.

In this video, I visualized every Toys “R” Us store opening and closure across the United States, mapping the full rise, peak, and collapse of one of the most iconic retail chains in history. The dataset combines publicly available records, bankruptcy filings, historical store lists, and reconstructed estimates to capture the company’s footprint over time. Known store locations and closures (including detailed 2018 bankruptcy records) were used as anchor points, while missing locations were estimated using state-level store counts and population-weighted city data to maintain a realistic geographic distribution. Where only partial dates were available, missing values were estimated to create a continuous timeline. The total number of stores at any given point follows known historical counts, ensuring the overall growth and decline aligns with real-world figures. The animation shows each store appearing on the map as it opens, and disappearing as it closes. A live counter tracks the total number of active stores over time, while a racing bar chart highlights which states had the largest presence throughout each phase. This visualization captures: - Early growth from a small regional retailer - Rapid nationwide expansion through the 1980s–2000s - Peak dominance with over 1,000 stores - The dramatic collapse during the 2017–2018 bankruptcy - And the modern revival through new formats, including Macy’s partnerships and Babies “R” - Us shop-in-shops in Kohl’s Together, it tells the full story of Toys “R” Us — from industry giant, to bankruptcy, and into its evolving modern form. If you enjoyed this and want to support more data-driven content like this, you can grab me a coffee here ☕ https://www.buymeacoffee.com/horizonanalytics Have an idea for a future topic? Let me know in the comments.

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