EmployerKit Research

UK Employment Law Data

Free research tools built for UK employers. Tribunal statistics, pay gap data, zero hours figures, and sickness absence rates. All sourced from official UK government and independent research, explained in plain English.

Data tools

Data

Tribunal Risk by Sector

121,000 employment tribunal claims filed in 2023/24, up 13% year on year. Explore data by claim type, success rates, and average awards. Understand where your greatest exposure lies.

121,000 claims (2023/24)£8,500 avg defence cost32% unfair dismissal success rate

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Data + Search

Gender Pay Gap Explorer

UK gender pay gap data by sector, from Finance (28.4% median) to Public Administration (4.6%). Searchable employer table, legal obligations explained, and what non-compliance means.

14.3% national median gap28.4% Finance sector22,000+ reporting employers

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Data

Zero Hours Exposure Map

1.05 million UK workers on zero hours contracts across all sectors. Hospitality tops the table at 18.4% of its workforce. What changes in 2027 under the Employment Rights Act.

1.05m workers3.1% of workforceRight to guaranteed hours: 2027

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Data + Calculator

Sickness Absence by Sector

Average days lost per worker by industry, causes of absence, and an absence cost estimator for your business. Plus: what the day-one SSP reform means from April 2026.

5.7 days avg per worker£1,079 cost per employeeDay-one SSP: April 2026

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Interactive calculators

Interactive Tool

Tribunal Cost Calculator

Estimate your employment tribunal exposure in under a minute. Select claim type, employee pay, years of service, and age group. Get an instant breakdown of basic award, compensatory award, and total employer cost including legal fees.

6 claim typesReal-time calculationBased on MOJ 2025 data

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About this data

All data on this site is sourced from UK government publications (Ministry of Justice, ONS, HMRC, EHRC) and independent research bodies (CIPD, CBI). Where exact breakdowns are not publicly available, figures are estimated using published methodology and realistic interpolation from adjacent data points. All pages display a methodology note and data source links. If you spot an error or have updated data, contact us.