Budget uncertainty drags down UK house prices
- Bias Rating
- Reliability
70% ReliableGood
- Policy Leaning
50% Medium Right
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
-7% Negative
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
50% : A high number of homes for sale is intensifying competition, while rumours of new taxes aimed at higher value properties have encouraged buyers to wait.50% : In the £500,000 to £2m bracket, sales agreed have fallen 8%, with buyers responding to rumours of stamp duty adjustments and potential capital gains tax changes for properties above £1.5m. The sub-£500,000 segment, which accounts for about 75% of the market, has proven more resilient, with sales agreed down only 4%.
49% : Budget uncertainty drags down UK house prices Pedro Goncalves 17 November 2025 at 7:00 am 0 The UK average new seller asking price dropped by 1.8%, a decrease of £6,589, which brings the national average house price to £364,833 - the steepest November decline in more than a decade amid growing anxiety about potential property tax changes in the upcoming budget.
44% : Falling mortgage rates and rising wages have boosted buyer affordability, but the market also needs further bank rate cut and less uncertainty about taxes.
41% : " The figures indicate that speculation about potential tax increases has led to a slowdown at the top of the market.
39% : "While there is also a general unease at how the budget may impact personal finances, the majority of home moves would be unaffected by the rumoured changes to property taxes.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
