Datasetpublic

gigxchange/uk-live-music-rates-2026-04

UK Live Music Rates — April 2026 (GigXchange Index) Monthly open dataset of what live music gigs actually pay in the UK, by city, gig type and band size. Built from 2,381 weighted observations across confirmed bookings, post-event submissions, Musicians' Union and Equity published rates, agency rate cards and venue budgets. Issue: 01 — April 2026 Publisher: GigXchange Live calculator: https://gigxchange.app/rates/ Full report (HTML + PDF):… See the full description on the dataset page: https://huggingface.co/datasets/gigxchange/uk-live-music-rates-2026-04.

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Dataset Card

UK Live Music Rates — April 2026 (GigXchange Index)

Monthly open dataset of what live music gigs actually pay in the UK, by city, gig type and band size. Built from 2,381 weighted observations across confirmed bookings, post-event submissions, Musicians' Union and Equity published rates, agency rate cards and venue budgets.

—Issue: 01 — April 2026
—Publisher: GigXchange
—Live calculator: https://gigxchange.app/rates/
—Full report (HTML + PDF): https://gigxchange.app/rates/reports/april-2026
—DOI: 10.5281/zenodo.19663015 (also archived on Zenodo)
—Licence: CC BY 4.0 — free to use commercially with attribution
—Temporal coverage: 1 May 2025 – 19 Apr 2026
—Spatial coverage: United Kingdom (14 cities + regional fallback + UK national)

Files

`gx-index-april-2026.csv` — published rates

One row per (scope × usecase × bandsize × city) cell. All values in GBP; p25/p50/p75/p90 are the weighted percentile distribution of artist take-home fees.

Column	Type	Description
`scope`	string	`national`, `region`, or `city`
`city_slug`	string	e.g. `london`, `edinburgh` (empty for non-city rows)
`region`	string	UK region (e.g. `Scotland`, `North West`) — empty for city/national rows
`use_case`	string	`wedding`, `corporate`, `private_party`, `pub_bar`, `club`, `festival`, `theatre`
`band_size_bucket`	string	`solo`, `duo`, `3-4_piece`, `5_plus`
`p25`	int	Lower-quartile fee, GBP
`p50`	int	Median fee, GBP
`p75`	int	Upper-quartile fee, GBP
`p90`	int	Premium-tier fee, GBP
`sample_size`	int	Raw observations in the cell
`weighted_n`	float	Trust-weighted observation count
`last_refreshed`	date	Date the cell was last rebuilt (YYYY-MM-DD)

`sources.csv` — source-weighting reference

Documents the nine data sources and their trust weights. Cells are built from trust-weighted distributions, not raw averages.

Column	Type	Description
`source`	string	Internal source ID
`display_name`	string	Human-readable name
`weight`	float	Trust weight, 0–1
`rationale`	string	Why the source gets that weight

Methodology (short)

1.Every price observation is tagged with a source type (see sources.csv) and assigned a trust weight.
2.For each (scope × usecase × bandsize × city) cell, percentiles are computed on the weighted distribution.
3.A five-check quality firewall strips duplicates, obvious outliers (> p99 × 2), stale rows (> 18 months old), mis-categorised currencies, and single-source cells with weighted_n < 2.
4.Cells with fewer than 3 weighted observations fall back to the parent region; regions with fewer than 10 fall back to UK national.

Full methodology, coverage maps and limitations are in the published report.

Refresh cadence

—Underlying figures rebuild every night at 05:00 UK time.
—This dataset is re-published monthly. Each monthly release gets its own HF dataset repo (e.g. gigxchange/uk-live-music-rates-2026-05 next month) so historical snapshots are stable.

Citation

GigXchange Index — April 2026. GigXchange.
DOI: 10.5281/zenodo.19663015
https://huggingface.co/datasets/gigxchange/uk-live-music-rates-2026-04
(CC BY 4.0)

Contact

Questions, corrections, or to contribute a rate: https://gigxchange.app/rates/#contribute