Tribunal Data

How often do tribunals reduce lift charges?

Across 273 individually challenged lift items in First-tier Tribunal service charge decisions from 2019–2026, 18.3% were reduced or disallowed; where the tribunal made a reduction, the median was 67% (n=21 reductions with amounts stated). (n=273, as of 4 July 2026)

The figures on this page cover every individually challenged lift item in our corpus of published First-tier Tribunal service charge decisions, and are recomputed nightly.

About these figures: Outcomes reflect disputes that reached the First-tier Tribunal, not portfolio-wide quality. Small samples are noisy; every figure links to the underlying decisions.

Outcomes for challenged lift items

OutcomeItemsShare
Reduced3512.8%
Disallowed entirely155.5%
Allowed in full21578.8%
Withdrawn41.5%

Most common grounds when the tribunal cut the charge

  1. Other grounds — 4 items
  2. Poor standard of work — 3 items
  3. Apportionment error — 5 items
  4. Not payable under the lease — 15 items
  5. Duplication of charges — 5 items
  6. Landlord could not evidence the cost — 10 items
  7. No Section 20 consultation — 10 items
  8. Costs unreasonably incurred (s19(1)(a)) — 15 items

By tribunal region

RegionItems (n)Reduced or disallowedMedian reduction when reduced
Eastern3036.7%62%
Southern478.5%55.5%
London15319%77.9%

Methodology

These statistics are computed from the published decisions of the First-tier Tribunal (Property Chamber) in service charge cases (case types LSC, LIS and LDC). Each decision is parsed into a structured record — the sums challenged, the sums allowed, the outcome per cost head, and the orders made — and the aggregates on this page are recomputed nightly in plain arithmetic from those records. No figure on this page is estimated, modelled or hand-typed; each carries its sample size. Current corpus: 2,383 decisions covering 12,898 individually disputed items, last updated 4 July 2026.

Read this before quoting: Outcomes reflect disputes that reached the First-tier Tribunal, not portfolio-wide quality. Small samples are noisy; every figure links to the underlying decisions.