
Death in the House
Last checked: Jun 1, 2026
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Price range: $1.99 – $6.99
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Fans of these authors will like this...
- Agatha Christie
- Dorothy L. Sayers
- G.K. Chesterton
Fans of these books will like this...
- The Murder of Roger Ackroyd
- Gaudy Night
- The Moonstone
Perfect for you if...
- You enjoy Golden Age mysteries where the puzzle is as important as the whodunit, and you appreciate authors who play fair with clues scattered throughout the narrative.
- You're drawn to political thrillers set in British institutions, especially ones where institutional power and hidden agendas create believable motive and opportunity.
- You like twist endings that recontextualise what you thought you knew, and you appreciate an author confident enough to surprise you twice over.
Maybe not for you if...
- You prefer fast-paced modern crime fiction with forensic detail and procedural authenticity, as this relies on the logic of 1920s detection.
- You want character depth and emotional investment in protagonists, as Berkeley's approach is more puzzle-focused than psychologically introspective.
- You're uncomfortable with colonial-era politics and the casual attitudes toward Indian independence that reflect the book's period setting.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Price has dropped 1 time over the last 4 months. Typically stays discounted for 9 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #38K in the Kindle store — a steady mid-list seller. Climbing the charts — 62% improvement recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 3.8★ from 28 reviews
Gaining approximately 1 new review per month. Rating has remained stable at 4.1 over the tracking period.
Sale Prediction
Actual Predicted
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Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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