How the figures are built
From an observed fee to a percentile you can quote in a negotiation — the full pipeline in plain English: every source and its weight, the rules that keep junk out, what n really counts, and the honest limits of the data. Free to cite under CC BY 4.0.
GigXchange Index, UK Live Music Booking Rates 2026. Available at: https://gigxchange.app/rates. Licensed under CC BY 4.0.
Last updated: 4 July 2026
What the Index measures
UK live music only. Every figure is what the performer takes home, in pounds — tickets, door splits, gear hire and travel never enter the dataset.
Coverage and definitions
A published cell is the meeting point of three axes: where (a canonical city, one of twelve UK regions, or the national baseline), what kind of gig (seven types, weddings to theatre/pit), and how many musicians (solo, duo, 3–4 piece, 5+). Each cell carries four percentiles — p25/p50/p75/p90 — never an average.
How to read a rate cell
Averages lie in a market where a Mayfair gala and a Tuesday pub slot share a spreadsheet. So every figure here is four: p25 the budget end, p50 the typical fee (half pay less, half more), p75 a strong booking, p90 the premium tier. Find your quote on that curve and you know where you stand.
Where the data comes from
Money that provably changed hands says more than a listings-page price — so every observation carries an effective trust weight (source weight × confidence).
The source classes and their weights
Every observation lands tagged with source, gig type, band size, venue type and location, through a single ingest funnel with documented provenance. Weighted percentile aggregation means higher-trust sources exercise proportionally greater influence on the published figures. The effective weights below are as published in the June 2026 issue.
| Source | Effective weight | Why it counts this much |
|---|---|---|
| Confirmed GigXchange booking | 1.00 | A cleared transaction — the reference signal |
| Post-event verified submission | 0.85 | Artist-reported, matched to a real event |
| MU / Equity recommended rate | 0.60 | The union floor — authoritative, not market-clearing |
| Venue gig budget | 0.50 | The buyer’s pre-negotiation spend plan |
| Agency published rate card | 0.48 | Asking price, commission stripped at ingest |
| Artist profile asking rate | 0.38 | Monthly stated-rate panel at its raised weight |
| Web-extracted rate | 0.35 | Public-page extractions, human-reviewed |
| Anonymous public submission | 0.16 | Held at arm’s length until verified |
| Ticket-derived club estimate | 0.11 | Room-economics model; the most cautious voice |
What is flowing now — and what is wired, awaiting volume
Flowing routinely: weekly re-scans of UK booking agencies’ public rate cards (Mondays), the monthly artist-profile panel of stated rates (snapshots on the 28th), and fees reported by gig-workers through the public submission form (reviewed, then synced daily). Musicians’ Union and Equity published minimums refresh annually.
Wired in, awaiting volume: confirmed GigXchange bookings — the 1.00-weight reference signal — are plumbed in but have yet to arrive in volume, so the Index still leans on asking prices and listings more than settled fees. Venue gig budgets, web-extracted editorial rates and ticket-derived club estimates have each contributed rows but are not yet routine inflows. This split is reported honestly in every issue — it is the single biggest thing that will sharpen the Index.
Counting rules
Two rules decide what a number means before it ever reaches a percentile: everything is normalised to artist take-home, and nothing is allowed to count twice.
Fee basis and the commission haircut
Every observation carries a fee_basis field. Gross-of-commission sources — agency rate cards and agent-rostered artist profiles — are converted to artist take-home before percentile computation using a 20% default agency commission haircut (net = gross ÷ 1.20); agent-brokered bookings use the booking’s recorded commission. Already-net sources (MU/Equity rates, venue budgets, verified submissions) pass through unchanged. Every published figure is therefore artist take-home — client-facing gross prices typically run ~20% higher.
Re-sighting, deduplication — and what n really counts
A listing that survives week after week is information — the price is stable — but it must never count twice. When a weekly scan meets a listing it already knows, it bumps that observation’s sighting counter instead of inserting a copy.
Reading note: the n shown against a cell counts weighted samples, not unique gigs — an observation counts at every geographic level it informs and once per re-sighting, so cell-level n runs far higher than the pool of unique observations. The distinct pool size is published in every issue (4,036 approved observations in the June 2026 issue).
The quality firewall
Every observation faces the same gates whatever its source, and every rejection is logged with a reason — the audit trail is part of the product.
Five gates, plus one for ticketed clubs
Has the basics — no amount, no source, no gig type: no entry. From a known source — only the vetted source list may write to the Index, through a single ingest funnel. Is an artist fee — the database layer itself refuses ticket money, gear hire, licensing and door splits. Passes the plausibility check — each gig type carries per-musician-per-hour bounds, so a £40 wedding quartet and a £20,000 pub solo both bounce automatically. Not a duplicate — every observation is fingerprinted; a re-scanned listing bumps a sighting counter, never becomes a second row.
Ticketed club fees face a sixth test: a four-archetype room-economics model grounded in Music Venue Trust occupancy data — ticket price × capacity × realistic occupancy × the act’s share of the door.
Anonymous submissions
Anyone who has played or booked a UK gig can report the fee at gigxchange.app/rates — no account needed. Submissions are rate-limited, sanity-checked and human-reviewed before they touch a cell, entering at weight 0.16; match one to a confirmed event later and it graduates to 0.85.
When a figure publishes
A figure only publishes when there is enough behind it — and when there isn't, the calculator tells you exactly which level answered instead.
Cell thresholds and geographic fallback
Publication happens at three levels: city (major UK metros, with satellite towns folded into their hub — Hove reads as Brighton, Oldbury as Birmingham), region (the twelve official UK regions), and the UK baseline. A city or region cell needs three observations to publish. When you look up somewhere we cannot yet publish, the live calculator walks the chain — city, then region, then the national figure with a regional adjustment — and tells you which level answered. Thin cells additionally carry a low-sample flag.
Regional adjustments
The adjustment layer blends ONS regional household income and family-spending data with public industry price benchmarks, tuned per gig type: corporate fees track regional wealth closely, wedding spend barely does, and pub fees hardly flex at all because venue economics set the ceiling everywhere. Adjustments only ever fill gaps — wherever real observations exist, they win outright.
Refresh cadence
The cells rebuild nightly at 05:00 UTC. Agency rate cards re-scan on Mondays; the artist panel snapshots on the 28th; approved submissions flow daily. Every rebuild is archived rather than overwritten — that is what makes issue-on-issue comparisons possible. The full report ships monthly.
Honest limits
A record of what the UK market paid, asked or budgeted across the observation window — nothing more.
What this is and isn’t
Not a recommended price. We publish where the market sits, not where you should sit in it — undercut or exceed any figure here with a clear conscience. Not an official benchmark. No industry body endorses or regulates these figures; independence is the point. Not financial advice. Evidence in, decision yours. Not the whole market. Most UK gig fees are agreed privately and surface nowhere — an index can only weigh what it can see.
Known gaps are reported in each issue: confirmed platform bookings have yet to arrive in volume, festival and theatre remain the thinnest gig types, and no genre-level cells publish yet — the tags exist on every observation, and publication waits on volume, not engineering. Corrections to our own data are documented in the open in the issue they land.
Datasets, DOIs & downloads
The report, the live figures and the raw dataset are all published under Creative Commons Attribution 4.0 — use them, republish them, build on them commercially, with credit.
June 2026 — 4,036 observations, 13 cities
Read online · PDF · CSV · Zenodo DOI 10.5281/zenodo.21197463 · Hugging Face · Kaggle
May 2026 — 3,847 observations, 13 cities
Read online · PDF · CSV · Zenodo DOI 10.5281/zenodo.20304563 · Hugging Face · Kaggle
April 2026 — 2,381 observations, 14 cities
Read online · PDF · CSV · Zenodo DOI 10.5281/zenodo.19663015 · Hugging Face · Kaggle
CC BY 4.0
Cite as “GigXchange Index, gigxchange.app/rates”. Machine-readable snapshot: /data/rates-snapshot.json. Live percentiles: the GX Index hub. All monthly issues: the reports library.