Distribution of earnings

Published: 18 December 2025
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Data on inequality in hourly pay between high earners and low earners.

Summary main findings

The gap in hourly pay between ‘high earners’ (people in the 90th percentile for hourly pay) and ‘low earners’ (people in the 10th percentile) narrowed between 2010 and 2023.

Between 1997 and 2011, high earners earned around 4 times as much as low earners.

In 2023, high earners earned 3 times as much as low earners.


By year

Visualisation

Hourly earnings ratio of people in the 90th and 10th percentiles, over time (UK, 1997 to 2024)

Data

Hourly earnings ratio of people in the 90th and 10th percentiles, over time (UK, 1997 to 2024)
Year Ratio of earnings
2024 2.99
2023 3.03
2022 3.10
2021 3.27
2020 3.41
2019 3.46
2018 3.54
2017 3.57
2016 3.62
2015 3.73
2014 3.82
2013 3.86
2012 3.86
2011 3.96
2010 3.96
2009 3.95
2008 3.95
2007 3.93
2006 3.97
2005 4.00
2004 3.96
2003 3.98
2002 4.02
2001 4.03
2000 3.96
1999 3.99
1998 3.99
1997 4.01
  • Download the data (CSV, 303B)
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    About the data

    Data source

    Office for National Statistics, Annual Survey of Hours and Earnings (ASHE)

    Time period

    1997 to 2024

    Geographic area

    UK

    What the data measures

    The data measures the gap in hourly earnings between people at the:

    • 90th percentile (‘high earners’) – they earn more than 90% of people
    • 10th percentile (‘low earners’) – they earn less than 90% of people

    The ‘90:10 ratio’ is calculated as income at the 90th percentile divided by income at the 10th percentile. For example, a ratio of 2 means that people at the 90th percentile earn twice as much as people at the 10th percentile.

    Things you need to know

    This data uses the ‘90:10 ratio’ rather than the Gini coefficient (a commonly-used measure of income inequality). This is for ease of understanding.

    Data for 2023 is provisional and may be revised in the future.

    Type of data

    Survey data

    Full report

    Read more in State of the Nation 2025 on GOV.UK.


    Download the data

    Download full dataset (CSV, 3KB)

    This file contains the following variables:

    • Measure code
    • Measure title
    • Chart type
    • Area code
    • Area type
    • Area name
    • Primary split type
    • Primary split value
    • Time period
    • Value
    • Unit

    Page history

    Publication release date:

    18 December 2025

    Editions of this page: