Direct effect of social origin on earnings

Published: 11 September 2024
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Data on how young people’s socio-economic background affects their earnings.

Summary main findings

25 to 29 year olds from professional backgrounds earn significantly more than those from other backgrounds but with the same qualifications.

In the 3 years from 2020 to 2022, young people from higher professional backgrounds earned 13% more than those from a lower working class background with the same qualification level.

The earnings gap between young people from different socio-economic backgrounds has stayed mostly the same. In the 3 years from 2020 to 2022, the gap between young people from higher professional and lower working class backgrounds was around £1.40 an hour.

Between the 3 years to 2016 and the 3 years to 2022, earnings went up significantly for young people from:

  • higher working class backgrounds (16.1%)
  • lower working class backgrounds (16.0%)
  • intermediate socio-economic backgrounds (12.3%)

Young women earned significantly less than young men with the same qualifications and socio-economic backgrounds. This earnings gap between men and women was smaller for young people from higher professional backgrounds than for those from lower working class backgrounds.

Young people from most ethnic minority groups earned around the same as White British young people from the same socio-economic background. Earnings were lower for young people from the Pakistani and Bangladeshi ethnic groups.

Young people with a disability earned significantly less than those without a disability with the same qualifications and socio-economic background. The size of the earnings gap was similar across socio-economic backgrounds between young people with a disability and those without.


By socio-economic background

Visualisation

Percentage differences in hourly earnings of 25 to 29 year olds, relative to those from lower working-class backgrounds, controlling for highest educational level, sex and age (UK, 2020 to 2022 combined)

Data

Percentage differences in hourly earnings of 25 to 29 year olds, relative to those from lower working-class backgrounds, controlling for highest educational level, sex and age (UK, 2020 to 2022 combined)
Socio-economic background Percentage difference relative to lower working class
Higher professional 12.9
Lower professional 8.2
Intermediate 1.7
Higher working 1.6
Lower working 0.0
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    By year

    Visualisation

    Hourly earnings of 25 to 29 year olds, adjusted for inflation, by socio-economic background, controlling for highest qualification, sex and age (UK, 2014 to 2022, 3-year rolling averages)

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    Data

    Hourly earnings of 25 to 29 year olds, adjusted for inflation, by socio-economic background, controlling for highest qualification, sex and age (UK, 2014 to 2022, 3-year rolling averages)
    Year Lower working (£) Higher working (£) Intermediate (£) Lower professional (£) Higher professional (£)
    2022 10.50 10.67 10.68 11.37 11.85
    2021 9.89 10.21 10.25 11.04 11.63
    2020 9.75 10.36 10.25 10.91 11.48
    2019 9.79 10.36 10.57 11.11 11.78
    2018 9.86 10.18 10.50 11.28 11.99
    2017 9.39 9.75 9.97 10.61 11.29
    2016 9.05 9.19 9.51 10.33 10.90
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    By sex

    Visualisation

    Mean hourly earnings of 25 to 29 year olds controlling for educational level and age, by sex and socio-economic background (UK, 2014 to 2022 combined)

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    Data

    Mean hourly earnings of 25 to 29 year olds controlling for educational level and age, by sex and socio-economic background (UK, 2014 to 2022 combined)
    Socio-economic background Men (£) Women (£)
    Higher professional 11.00 10.65
    Lower professional 10.57 9.98
    Intermediate 9.85 9.44
    Higher working 9.72 9.15
    Lower working 9.59 8.74
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    By ethnicity

    Visualisation

    Mean hourly earnings of 25 to 29 year olds controlling for educational level and age, by ethnicity and socio-economic background (UK, 2014 to 2022 combined)

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    Data

    Mean hourly earnings of 25 to 29 year olds controlling for educational level and age, by ethnicity and socio-economic background (UK, 2014 to 2022 combined)
    Ethnicity Lower working (£) Higher professional (£)
    Bangladeshi 7.81 9.24
    Chinese 9.00 10.66
    Indian 9.35 11.06
    Pakistani 8.32 9.85
    Black African 9.28 10.99
    Black Caribbean 9.13 10.80
    Mixed 9.04 10.70
    White British 9.24 10.94
    White other 9.30 11.01
    Other 8.80 10.41
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    By disability status

    Visualisation

    Mean hourly earnings of 25 to 29 year olds controlling for educational level and age, by disability and socio-economic background (UK, 2014 to 2022 combined)

    Click or tap on legend items to toggle visibility

    Data

    Mean hourly earnings of 25 to 29 year olds controlling for educational level and age, by disability and socio-economic background (UK, 2014 to 2022 combined)
    Socio-economic background Disabled (£) Not disabled (£)
    Higher professional 10.57 10.96
    Lower professional 10.08 10.40
    Intermediate 10.17 9.65
    Higher working 9.09 9.56
    Lower working 9.18 9.23
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    About the data

    Data source

    Office for National Statistics, Labour Force Survey (LFS)

    Time period

    • 2020 to 2022 combined (By socio-economic background)
    • 2014 to 2022, 3-year rolling averages (By year)
    • 2014 to 2022 combined (By sex, ethnicity and disability status)

    Geographic area

    UK

    What the data measures

    The data shows the effect of young people’s socio-economic background on their earnings. ‘Young people’ in the data are 25 to 29 years old.

    Things you need to know

    This year’s estimates are not directly comparable to those in last year’s report. This is due to changes to the methodology and the inflation base year to 2022. Data is weighted using LFS person weights.

    The reference group is men aged 27 with lower working class backgrounds and lower level qualifications (below GCSE grade 1 or equivalent). For data by sex, estimates are shown for people with the lowest levels of education and aged 27 years. For data by ethnicity, the linear regression model assumes that class effects are the same within each ethnic group.

    For data by socio-economic background, data from 2020 to 2022 is combined to get more accurate estimates.

    For data by year, data is combined into rolling 3-year averages (for example, 2020 to 2022).

    For data by sex, ethnicity and disability, data from 2014 to 2022 is combined.

    The error bars show 95% confidence intervals. Read more about confidence intervals.

    Type of data

    Survey data

    Full report

    Read more in State of the Nation 2024 on GOV.UK.


    Download the data

    Download full dataset (CSV, 24KB)

    This file contains the following variables:

    • Indicator code
    • Indicator name
    • Area type
    • Area code
    • Area name
    • Time period
    • Socio-economic background
    • Age
    • Sex
    • Category type
    • Category
    • Category type2
    • Category2
    • Value
    • Sample size
    • Lower confidence interval
    • Upper confidence interval
    • Standard error
    • Unit
    • Value note

    Page history

    Publication release date:

    11 September 2024

    Editions of this page: