Industry by Age and Gender Data

📘
Ready to use this data? See the Core LMI reference documentation to get started.

Description

This dataset contains national job counts by industry, class of worker, age band, and gender.

Questions answered by this dataset

What is the age breakdown of workers in the travel agency industry?
Is the percentage of females employed in the landscape service activities industry growing or declining?

Metrics

Jobs: The number of jobs for the class-year-industry-age-gender combination selected.

Filters

Industry (1 to 5-digit SIC)
Class of Worker
Age (6 age bands)
Gender
Year

Core LMI Metadata

This dataset is offered via the Core LMI API. The metadata for this Core LMI API dataset is below.

Attribute	Description
Dataset ID	`EMSI.uk.Industry.AgeGender`
Dataset URL	`https://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/{version}`

Area Aggregation Path

The area aggregation path refers to the hierarchy that shows how data is aggregated, starting from the lowest-level geography and progressing to the highest-level geography.

The levels in the aggregation path include:

		Aggregation Path
		1	2	3	4
Level	1	Nation	Metropolitan US	Nation	Metropolitan US
2	State	MSA	State	MSA
3	County	County	County	County
4	Zip Code	Zip Code	Census Tract	Census Tract

Datasets with lower granularity aggregates only up to Level 1

Versions

http://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/2026.1

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Jobs"],
"Year": "2014-2021"    
}

Dimensions

[
{
  "name": "Industry",
  "levelsStored": [
     "0",
     "1",
     "2",
     "3",
     "4",
     "5"
  ]
},
{
  "name": "ClassOfWorker",
  "levelsStored": [
     "1"
  ]
},
{
  "name": "AgeGroup",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"minYearInclusive": "2014",
"name": "Industry.AgeGender",
"type": "dataset",
"path": "Industry.AgeGender",
"maxYearInclusive": "2021",
"currentYear": "2021",
"countryCode": "uk",
"datarun": "2026.1",
"description": "XXXXXXXXXXXXXX",
"displayName": "UK Industry by Age and Gender",
"releaseDate": "2026-03-25 23:43:32.9213367Z"
}

http://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/2025.1

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Jobs"],
"Year": "2014-2021"    
}

Dimensions

[
{
  "name": "Industry",
  "levelsStored": [
     "0",
     "1",
     "2",
     "3",
     "4",
     "5"
  ]
},
{
  "name": "ClassOfWorker",
  "levelsStored": [
     "1"
  ]
},
{
  "name": "AgeGroup",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"minYearInclusive": "2014",
"name": "Industry.AgeGender",
"type": "dataset",
"path": "Industry.AgeGender",
"maxYearInclusive": "2021",
"currentYear": "2021",
"countryCode": "uk",
"datarun": "2025.1",
"description": "XXXXXXXXXXXXXXX",
"releaseDate": "2025-02-25 00:49:51.6672382Z"
}

http://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/2024.2

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Jobs"],
"Year": "2014-2021"    
}

Dimensions

[
{
  "name": "Industry",
  "levelsStored": [
     "0",
     "1",
     "2",
     "3",
     "4",
     "5"
  ]
},
{
  "name": "ClassOfWorker",
  "levelsStored": [
     "1"
  ]
},
{
  "name": "AgeGroup",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"minYearInclusive": "2014",
"name": "Industry.AgeGender",
"type": "dataset",
"path": "Industry.AgeGender",
"maxYearInclusive": "2021",
"currentYear": "2021",
"countryCode": "uk",
"datarun": "2024.2",
"description": "XXXXXXXXXXXXXXX",
"displayName": "UK Industry by Age and Gender",
"releaseDate": "2024-08-13 17:36:06.2575527Z"
}

http://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/2024.1

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Jobs"],
"Year": "2014-2021"    
}

Dimensions

[
{
  "name": "Industry",
  "levelsStored": [
     "0",
     "1",
     "2",
     "3",
     "4",
     "5"
  ]
},
{
  "name": "ClassOfWorker",
  "levelsStored": [
     "1"
  ]
},
{
  "name": "AgeGroup",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"minYearInclusive": "2014",
"name": "Industry.AgeGender",
"type": "dataset",
"path": "Industry.AgeGender",
"maxYearInclusive": "2021",
"currentYear": "2021",
"countryCode": "uk",
"datarun": "2024.1",
"description": "XXXXXXXXXXXXXX",
"displayName": "UK Industry by Age and Gender",
"releaseDate": "2024-02-21 19:53:34.4906591Z"
}

http://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/2023.2

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Jobs"],
"Year": "2014-2021"    
}

Dimensions

[
{
  "name": "Industry",
  "levelsStored": [
     "0",
     "1",
     "2",
     "3",
     "4",
     "5"
  ]
},
{
  "name": "ClassOfWorker",
  "levelsStored": [
     "1"
  ]
},
{
  "name": "AgeGroup",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"minYearInclusive": "2014",
"name": "Industry.AgeGender",
"type": "dataset",
"path": "Industry.AgeGender",
"maxYearInclusive": "2021",
"currentYear": "2021",
"countryCode": "uk",
"datarun": "2023.2",
"description": "XXXXXXXXXXXXXXX",
"displayName": "UK Industry by Age and Gender",
"releaseDate": "2023-10-03 23:44:42.578094Z"
}

http://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry.AgeGender/2023.1

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Jobs"],
"Year": "2014-2018"    
}

Dimensions

[
{
  "name": "Industry",
  "levelsStored": [
     "0",
     "1",
     "2",
     "3",
     "4",
     "5"
  ]
},
{
  "name": "ClassOfWorker",
  "levelsStored": [
     "1"
  ]
},
{
  "name": "AgeGroup",
  "levelsStored": [
     "0",
     "1"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "0",
     "1"
  ]
}
]

Attributes

{
"minYearInclusive": "2014",
"name": "Industry.AgeGender",
"type": "dataset",
"path": "Industry.AgeGender",
"maxYearInclusive": "2018",
"currentYear": "2018",
"countryCode": "uk",
"datarun": "2023.1",
"description": "XXXXXXXXXXXXXXX",
"displayName": "UK Industry by Age and Gender",
"releaseDate": "2023-04-13 17:25:01.0456434Z"
}

Updated about 4 hours ago

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