TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Greater Manchester mayoral election margin of victory?
kalshi

Greater Manchester mayoral election margin of victory?

Volume:
$10,488

Labour, ≥30%

 - Kalshi

Labour, ≥30% - Kalshi

1W

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Vol.

·

Resolved Aug 1, 2026

Closed: Aug 1, 11:10 AM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Labour, ≥30%

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,641
N/A
N/A
$1,151
10mo 3d
Yes
kalshi

Labour, ≥15%

100%
Yes 100¢No 0¢
100¢
N/A
$1,554
N/A
N/A
$669
10mo 3d
Yes
kalshi

Labour, ≥25%

100%
Yes 100¢No 0¢
100¢
N/A
$1,438
N/A
N/A
$714
10mo 3d
Yes
kalshi

Labour, ≥10%

100%
Yes 100¢No 0¢
100¢
N/A
$1,363
N/A
N/A
$923
10mo 3d
Yes
kalshi

Labour, ≥20%

100%
Yes 100¢No 0¢
100¢
N/A
$1,201
N/A
N/A
$693
10mo 3d
Yes
kalshi

Labour, ≥5%

100%
Yes 100¢No 0¢
100¢
N/A
$84
N/A
N/A
$67
10mo 3d
Yes
kalshi

Labour, ≥50%

0%
Yes 0¢No 100¢
100¢
N/A
$1,369
N/A
N/A
$702
10mo 3d
No
kalshi

Labour, ≥35%

0%
Yes 0¢No 100¢
100¢
N/A
$1,006
N/A
N/A
$268
10mo 3d
No
kalshi

Labour, ≥40%

0%
Yes 0¢No 100¢
100¢
N/A
$542
N/A
N/A
$292
10mo 3d
No
kalshi

Labour, ≥45%

0%
Yes 0¢No 100¢
100¢
N/A
$290
N/A
N/A
$255
10mo 3d
No
Total markets: 10

Description

The 2026 Greater Manchester mayoral election will be decided by how decisively the Labour Party wins. This event series tracks whether Labour's victory margin—the difference between their vote share and the runner-up's—falls within specific percentage thresholds, from narrow wins of 5-10% to landslide victories exceeding 30%.

Kalshi

Margin of victory is calculated based on the election's counting method. If any candidate receives more than half of all valid first-choice votes, margins use first-choice vote shares. Otherwise, remaining candidates' vote shares combine first-choice votes with valid transferred second-choice votes, while eliminated candidates are measured only by first-choice votes against the winner's final share. All margin ranges are inclusive of their lower bound and exclusive of their upper bound, with no rounding applied; for example, a margin of exactly 6% falls within the 6-7% range, not 5-6%. If Labour runs under multiple party designations or appears multiple times on the ballot, all votes attributable to the same underlying candidate are summed together. Each threshold market resolves Yes if Labour's margin falls within its specified range (5-100%, 10-100%, 15-100%, 20-100%, 25-100%, or 30-100% respectively).

Frequently asked questions

On Kalshi, the Greater Manchester mayoral election market dashboard displays real-time odds and price movements for the predicted margin of victory in this local election. Traders can monitor current probabilities assigned to different outcome ranges, review historical price charts, and track 24-hour trading volume of $3,926. The dashboard provides a live snapshot of market sentiment, showing how participants collectively assess the likely winning margin. This interactive view helps you understand which outcomes are considered most probable and how confidence levels shift as new information emerges closer to the election date.

Prediction market odds reflect aggregated trader expectations and often diverge from traditional polling or analyst forecasts. While polls capture voter intent at a single moment, this market continuously incorporates new data—campaign developments, local sentiment shifts, and emerging news—into live pricing. Traders with strong conviction can move odds significantly, sometimes ahead of published surveys. Comparing market probabilities to analyst predictions reveals where consensus is strongest and where disagreement exists. Both sources offer value: markets excel at synthesizing dispersed information, while analysts provide detailed reasoning and methodological transparency that complements market-derived odds.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different outcome ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on a specific margin-of-victory band, and the current bid-ask spread reflects real-time supply and demand. Prices range from 0 to 100 cents, with higher prices indicating greater perceived likelihood. As new information surfaces or trader conviction shifts, prices adjust dynamically. This mechanism ensures transparent price discovery and allows you to enter or exit positions at market rates throughout the trading window.

This market resolves around Jul 30, 2027, once the Greater Manchester mayoral election results are finalized and verifiable from credible public sources. The outcome is determined by the official margin of victory—the difference in votes between the winning candidate and the runner-up. Resolution hinges on confirmed election data, ensuring accuracy and fairness for all traders. Until that point, odds will fluctuate based on campaign momentum, voter turnout expectations, and any late-breaking developments. The exact resolution window may narrow as election day approaches and final reporting becomes available.

Several catalysts could shift odds significantly before Jul 30, 2027. Major campaign announcements, candidate endorsements, or debate performances often trigger repricing as traders reassess viability. Local polling releases provide hard data that can confirm or challenge market expectations. Voter registration trends, turnout forecasts, and demographic shifts in Greater Manchester may influence margin predictions. Unexpected controversies or policy announcements can reshape candidate momentum. Media coverage intensity and social media sentiment also serve as real-time signals. Traders monitor these developments closely, adjusting positions as new information clarifies the likely winning margin and competitive dynamics.