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[this is a data cube dataset] A data cube dataset in folders : Scottish Government, Labour Force

Gender Pay Gap

The difference between male and female median earnings (gross hourly earnings excluding overtime) as a percentage of male earnings.

View as a spreadsheet
Dimensions
Dimension
Value
Measure Type
  1. Ratio
Reference Period
  1. 1997
  2. 1998
  3. 1999
  4. 2000
  5. 2001
  6. 2002
  7. 2003
  8. 2004
  9. 2005
  10. 2006
  11. 2007
  12. 2008
  13. 2009
  14. 2010
  15. 2011
  16. 2012
  17. 2013
  18. 2014
  19. 2015
  20. 2016
  21. 2017
  22. 2018
  23. 2019
  24. 2020
  25. 2021
Working Pattern
  1. All Patterns
  2. Full Time
  3. Part Time
Reference Area
(showing types of area available in these data)
  1. Countries
  2. Council Areas
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Entire dataset
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CSVN-Triples
About the Dataset
Contact
Publisher
Scottish Government
Creator
Scottish Government
In folders
License
Issued
29/07/2014
Modified
01/02/2022
Next update due
November 2022
Description

This indicator measures the difference between male and female median earnings ( gross hourly earnings excluding overtime), expressed as a percentage of male earnings. Estimates are workplace based and cover employees on adult rates whose pay for the survey pay-period was not affected by absence. 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. For more information see ASHE Methodology and Guidance

Details
Confidentiality Policy

This dataset does not contain any sensitive or personal information.

Quality Management

Results for 2003 and earlier exclude supplementary surveys.

In 2006 there were a number of methodological changes made. For further details go to the NOMIS website.

Further information about this data set can be located on the ONS website.

Accuracy and Reliability

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. Quality measure indications, for all estimates, are published by ONS at Gender Pay Gap

Coherence and Comparability

The Scottish Government publishes reports which present analysis on the labour market at Scotland and sub-Scotland levels. Earnings tables in excel format from the same sources can be accessed at the Scottish Government website.

Accessibility and Clarity

Statistics from ASHE are presented in reports and spreadsheets available on the Scottish Goverment's website.

Relevance

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.

Timeliness and Punctuality

Information is published annually.

Revisions

All estimates for 2019 are provisional and relate to the reference date 11 April 2019. 2018 data was revised in November 2019 and is no longer provisional. All estimates for 2020 are provisional and relate to the reference date of 22 April 2020. 2019 data was revised in July 2021 and is no longer provisional. 2020 data was revised on 26 October 2021 and is no longer provisional. All estimates for 2021 are provisional and relate to the reference date of 21 April 2021.

Three years combined data was previously published to improve the robustness of this indicator. The combined data is no longer used in this dataset, and instead the data is for single years only in line with other published data for this dataset.

URI

This is a linked data resource: it has a permanent unique uri at which both humans and machines can find it on the Internet, and which can be used an identifier in queries on our SPARQL endpoint.

http://statistics.gov.scot/data/earnings-paygap
Dimensions Linked Data

A linked data-orientated view of dimensions and values

Dimension Locked Value
Reference Area
http://purl.org/linked-data/sdmx/2009/dimension#refArea
(not locked to a value)
Reference Period
http://purl.org/linked-data/sdmx/2009/dimension#refPeriod
(not locked to a value)
Working Pattern
http://statistics.gov.scot/def/dimension/workingPattern
(not locked to a value)
Measure Type
http://purl.org/linked-data/cube#measureType
(not locked to a value)
Graphs

Linked Data is stored in graphs. We keep dataset contents (the data) separately from the metadata, to make it easier for you to find exactly what you need.

The data in this dataset are stored in the graph: http://statistics.gov.scot/graph/earnings-paygap

The data structure definition for this data cube dataset is stored in the same graph as the data: http://statistics.gov.scot/graph/earnings-paygap

All other metadata about this dataset are stored in the graph: http://statistics.gov.scot/graph/earnings-paygap/metadata

Linked Data Resources

A breakdown by type of the 1,901 resources in this dataset's data graph.

Resource type Number of resources
Collection 2
Component specification 6
Data set 1
Data structure definition 1
Observation 1,891
All metadata
In Graph http://statistics.gov.scot/graph/earnings-paygap/metadata
Accessibility and Clarity http://statistics.gov.scot/def/statistical-quality/accessibility-and-clarity
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) xsd:string
Accuracy and Reliability http://statistics.gov.scot/def/statistical-quality/accuracy-and-reliability
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. Quality measure indications, for all estimates, are published by ONS at [Gender Pay Gap](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/annualsurveyofhoursandearningsashegenderpaygaptables) xsd:string
Comment rdfs:comment http://www.w3.org/2000/01/rdf-schema#comment
The difference between male and female median earnings (gross hourly earnings excluding overtime) as a percentage of male earnings. xsd:string
Comparability and Coherence http://statistics.gov.scot/def/statistical-quality/comparability-and-coherence
The Scottish Government publishes reports which [present analysis on the labour market](https://www.gov.scot/Topics/Statistics/Browse/Labour-Market/Publications) at Scotland and sub-Scotland levels. Earnings tables in excel format from the same sources can be accessed at the [Scottish Government website](https://www2.gov.scot/Topics/Statistics/Browse/Labour-Market/Earnings/ASHE-SCOT-2017). xsd:string
Confidentiality http://statistics.gov.scot/def/statistical-quality/confidentiality
This dataset does not contain any sensitive or personal information. xsd:string
Contact email http://publishmydata.com/def/dataset#contactEmail
mailto:lmstats@gov.scot
Creator dcterms:creator http://purl.org/dc/terms/creator
Scottish Government http://statistics.gov.scot/id/organisation/scottish-government
Date Issued dcterms:issued http://purl.org/dc/terms/issued
July 29, 2014 00:00 xsd:dateTime
March 13, 2017 12:50 xsd:dateTime
March 13, 2017 12:55 xsd:dateTime
Date Modified dcterms:modified http://purl.org/dc/terms/modified
February 01, 2022 14:07 xsd:dateTime
Description dcterms:description http://purl.org/dc/terms/description
This indicator measures the difference between male and female median earnings ( gross hourly earnings excluding overtime), expressed as a percentage of male earnings. Estimates are workplace based and cover employees on adult rates whose pay for the survey pay-period was not affected by absence. 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. For more information see [ASHE Methodology and Guidance](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/methodologies/annualsurveyofhoursandearningsashemethodologyandguidance) xsd:string
Graph http://publishmydata.com/def/dataset#graph
http://statistics.gov.scot/graph/earnings-paygap
Has a SPARQL endpoint at void:sparqlEndpoint http://rdfs.org/ns/void#sparqlEndpoint
http://statistics.gov.scot/sparql
http://publishmydata.com/def/dataset#nextUpdateDue http://publishmydata.com/def/dataset#nextUpdateDue
November 2022 xsd:string
In folder http://publishmydata.com/def/ontology/folder/inFolder
Scottish Government http://statistics.gov.scot/def/concept/folders/organisations/scottish-government
Labour Force http://statistics.gov.scot/def/concept/folders/themes/labour-force
Label rdfs:label http://www.w3.org/2000/01/rdf-schema#label
Gender Pay Gap xsd:string
License dcterms:license http://purl.org/dc/terms/license
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Publisher dcterms:publisher http://purl.org/dc/terms/publisher
Scottish Government http://statistics.gov.scot/id/organisation/scottish-government
Quality Management http://statistics.gov.scot/def/statistical-quality/quality-management
Results for 2003 and earlier exclude supplementary surveys. In 2006 there were a number of methodological changes made. For further details go to the [NOMIS website](http://www.nomisweb.co.uk/articles/341.aspx). Further information about this data set can be located on [the ONS website](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/methodologies/annualsurveyofhoursandearningslowpayandannualsurveyofhoursandearningspensionresultsqmi). xsd:string
References dcterms:references http://purl.org/dc/terms/references
http://statistics.gov.scot/help http://statistics.gov.scot/help
Relevance http://statistics.gov.scot/def/statistical-quality/relevance
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. xsd:string
Revisions http://statistics.gov.scot/def/statistical-quality/revisions
All estimates for 2019 are provisional and relate to the reference date 11 April 2019. 2018 data was revised in November 2019 and is no longer provisional. All estimates for 2020 are provisional and relate to the reference date of 22 April 2020. 2019 data was revised in July 2021 and is no longer provisional. 2020 data was revised on 26 October 2021 and is no longer provisional. All estimates for 2021 are provisional and relate to the reference date of 21 April 2021. Three years combined data was previously published to improve the robustness of this indicator. The combined data is no longer used in this dataset, and instead the data is for single years only in line with other published data for this dataset. xsd:string
Theme dcat:theme http://www.w3.org/ns/dcat#theme
Scottish Government http://statistics.gov.scot/def/concept/folders/organisations/scottish-government
Labour Force http://statistics.gov.scot/def/concept/folders/themes/labour-force
Timeliness and Punctuality http://statistics.gov.scot/def/statistical-quality/timeliness-and-punctuality
Information is published annually. xsd:string
Title dcterms:title http://purl.org/dc/terms/title
Gender Pay Gap xsd:string
Type rdf:type http://www.w3.org/1999/02/22-rdf-syntax-ns#type
Data set http://purl.org/linked-data/cube#DataSet
Dataset http://publishmydata.com/def/dataset#Dataset
http://publishmydata.com/def/dataset#LinkedDataset
dataset http://rdfs.org/ns/void#Dataset
Dataset http://www.w3.org/ns/dcat#Dataset
In Graph http://statistics.gov.scot/graph/earnings-paygap
Structure qb:structure http://purl.org/linked-data/cube#structure
http://statistics.gov.scot/data/structure/earnings-paygap http://statistics.gov.scot/data/structure/earnings-paygap
Type rdf:type http://www.w3.org/1999/02/22-rdf-syntax-ns#type
Data set http://purl.org/linked-data/cube#DataSet
Machine-readable formats

In addition to this bookmarkable html page, this dataset metadata is also available for our robot customers in the following machine-readable formats. Please refer to the API documentation for more details.

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