Latest Election Polls by Omnisis

About Omnisis

Party Analysis: Statistical Deviations by Omnisis

Historical Polls vs. Election Trend (in %)

Lower
Consistent
Higher
Green Party
Centre-Left
9
76
15
Labour
Social Democratic
7
28
65
Liberal Democrats
Transversal
33
63
4
Plaid Cymru
Centre-Left
0
89
11
Reform UK
Right
7
65
28
Scottish National Party
Social Democratic
11
89
0
Tories
Conservative
52
35
13

How is the data calculated?

The PolitPro Election Trend serves as the benchmark, using a time-weighted average of all current surveys. A poll value is flagged if it deviates by more than one percentage point from this trend.

Performance Track Record: Historical Accuracy of Omnisis

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Election Accuracy

On average, Omnisis's figures deviate by percentage points between their final pre-election polls and actual election results.

Average Deviation of Pre-Election Polls from Actual Results (Historical)

How is election accuracy calculated?

Accuracy indicates how closely pre-election polls aligned with actual election results. We compare final surveys from various institutes with official outcomes. To do this, we calculate the average deviation across all parties that received at least 3% of the vote. Most election polls have a standard margin of error of 2-3 percentage points. We categorize average deviations as follows: up to 1 percentage point is "very good" (green); up to 2 points is "good" (yellow); up to 3 points is "acceptable" (orange), though this may indicate significant outliers for specific parties. Deviations exceeding 3 percentage points suggest a lack of predictive power and are rated "poor" (red).

Data Sources and Methodology

PolitPro

PolitPro bridges the gap between scientific research and current polling. We supplement leading datasets with our own proprietary research and algorithms to make complex political contexts tangible and accessible. Powered by AI.

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Political data is constantly evolving. If you spot an error, please let us know. A brief reference to your source will help us verify and update the information.