Earnings
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
contact point: ContactPoint
date modified: 2026-08-13T12:43:01.538604
date published: 2026-08-13T12:41:53.143375
description: The median and mean gross weekly earnings (before deductions for Tax & National Insurance) of full-time employees on adult rates, whose pay for the survey period was not affected by absence. For 2020 data, this has been expanded to include those who were not furloughed under the Coronavirus Job Retention Scheme (CJRS) but had their pay affected by absence. The self-employed are excluded from this study. This information is obtained from the Annual Survey of Hours & Earnings (ASHE). This is an Office for National Statistics (ONS) publication.
accuracy: As these estimates are obtained from a sample survey, the quality of each estimate is assessed by ONS using the coefficient of variation (CV). The CV is the ratio of the standard error of an estimate to the estimate itself and is expressed as a percentage. Estimates which have a CV of less than or equal to 5% are considered 'precise'. Estimates where the CV is greater than 5% and less than or equal to 10% are considered reasonable quality while estimates with a CV of greater than 10% and less than or equal to 20% are considered lower quality and should be used with caution. Where the CV of an estimate is greater than 20% then the estimate is considered unreliable and is not shown. Estimates which are considered to be of reasonable quality and estimates that are considered to be of lower quality have been included in this dataset. No indication of their reliability is provided. Coefficients of variations, for all estimates, are published by ONS at [Employee earnings in the UK: 2019](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2019)
comment: Mean and median gross weekly earnings (£s) by gender, working pattern and workplace/residence measure.
completeness: Statistics from ASHE are presented in reports and spreadsheets available on the [Scottish Goverment's website.](https://www2.gov.scot/Topics/Statistics/Browse/Labour-Market/Earnings)
confidentiality: This dataset does not contain any sensitive or personal information.
consistency: The Scottish Government publishes reports which [present analysis on the labour market](https://www2.gov.scot/Topics/Statistics/Browse/Labour-Market) at Scotland and sub-Scotland levels.
geographical coverage: S12
geographical coverage: S92
license id: uk-ogl
next update: 2022-11-01
quality management: Further information about this data set can be located on [the ONS website.](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/methodologies/annualsurveyofhoursandearningslowpayandannualsurveyofhoursandearningspensionresultsqmi) Results for 2003 and earlier exclude supplementary surveys. In 2006 there were a number of methodological changes made. For further details go to [NOMIS.](http://www.nomisweb.co.uk/articles/341.aspx.)
reference period: PeriodOfTime
  end date: 2021
  start date: 1997
timeliness: Information is published annually.
uniqueness: Not assessed
update frequency: annual
validity: The Annual Survey of Hours and Earnings (ASHE) is the official source of UK earnings and hours worked estimates. ASHE data is published annually by the Office for National Statistics (ONS) and is based on a 1 per cent sample of employee jobs from HM Revenue and Customs Pay As You Earn (PAYE) system.
will be updated: true
included in data catalog: CKAN
keywords: Economic Activity, Benefits and Tax Credits
license: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
record set: records

Scottish Government
type: Organization
contact point: ContactPoint
  contact type: customer service

GeographyType
type: Field
data type: Text
source:
  extract:
    column: GeographyType

earnings.csv
type: FileObject
description: Data file for Earnings
comment: Mean and median gross weekly earnings (£s) by gender, working pattern and workplace/residence measure.
dictionary: Column
  column: Gender
  type: text
dictionary: Column
  column: DateCode
  type: int
dictionary: Column
  column: Units
  type: text
dictionary: Column
  column: Value
  type: float
dictionary: Column
  column: Population Group
  type: text
dictionary: Column
  column: GeographyType
  type: text
dictionary: Column
  column: GeographyCode
  type: text
dictionary: Column
  column: Working Pattern
  type: text
dictionary: Column
  column: Measurement
  type: text
dictionary: Column
  column: GeographyName
  type: text
encoding format: CSV

Population Group
type: Field
data type: Text
source:
  extract:
    column: Population Group

DateCode
type: Field
data type: Integer
source:
  extract:
    column: DateCode

Value
type: Field
data type: Float
source:
  extract:
    column: Value

Units
type: Field
data type: Text
source:
  extract:
    column: Units

GeographyName
type: Field
data type: Text
source:
  extract:
    column: GeographyName

Measurement
type: Field
data type: Text
source:
  extract:
    column: Measurement

Working Pattern
type: Field
data type: Text
source:
  extract:
    column: Working Pattern

GeographyCode
type: Field
data type: Text
source:
  extract:
    column: GeographyCode

Gender
type: Field
data type: Text
source:
  extract:
    column: Gender