Industry Data

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

Description

This dataset contains industry data by area, industry, class of worker, and year. Data is available for the United Kingdom (England, Scotland, Wales, and Northern Ireland).

Note that, due to a lack of data, Northern Ireland self-employment is estimated using Northern Ireland employment and Welsh self-employment-to-employment ratios. For more information see https://kb.economicmodelling.co.uk/emsis-uk-data-process-overview/

Questions answered by this dataset

What is the fastest-growing industry in London?
In what region of England are earnings for the finance industry the lowest?
How many hospitals are there in London? How many were there in 2013?

Metrics

Jobs: The number of occupied positions. This is not quite the same as workers because one worker might fill more than one position.
Earnings: Total earnings for the industry.
EPW: Earnings Per Worker is current year earnings divided by current year jobs. (EPW = Earnings / Jobs).
Establishments: The number of physical business locations.

Filters

Area (Nation, Country, NUTS1, NUTS3, and LAU1)
Industry (1 to 5-digit SIC)
Class of Worker
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`
Dataset URL	`https://agnitio.emsicloud.com/meta/dataset/EMSI.uk.Industry/{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/2025.1

Metrics

[
{
  "name": "Jobs.2003"
},
{
  "name": "Jobs.2004"
},
{
  "name": "Jobs.2005"
},
{
  "name": "Jobs.2006"
},
{
  "name": "Jobs.2007"
},
{
  "name": "Jobs.2008"
},
{
  "name": "Jobs.2009"
},
{
  "name": "Jobs.2010"
},
{
  "name": "Jobs.2011"
},
{
  "name": "Jobs.2012"
},
{
  "name": "Jobs.2013"
},
{
  "name": "Jobs.2014"
},
{
  "name": "Jobs.2015"
},
{
  "name": "Jobs.2016"
},
{
  "name": "Jobs.2017"
},
{
  "name": "Jobs.2018"
},
{
  "name": "Jobs.2019"
},
{
  "name": "Jobs.2020"
},
{
  "name": "Jobs.2021"
},
{
  "name": "Jobs.2022"
},
{
  "name": "Jobs.2023"
},
{
  "name": "Jobs.2024"
},
{
  "name": "Jobs.2025"
},
{
  "name": "Jobs.2026"
},
{
  "name": "Jobs.2027"
},
{
  "name": "Jobs.2028"
},
{
  "name": "Jobs.2029"
},
{
  "name": "Jobs.2030"
},
{
  "name": "Jobs.2031"
},
{
  "name": "Jobs.2032"
},
{
  "name": "Jobs.2033"
},
{
  "name": "Jobs.2034"
},
{
  "name": "Earnings"
},
{
  "name": "EPW"
},
{
  "name": "Establishments"
},
{
  "name": "HistoricalEstablishments.2011"
},
{
  "name": "HistoricalEstablishments.2012"
},
{
  "name": "HistoricalEstablishments.2013"
},
{
  "name": "HistoricalEstablishments.2014"
},
{
  "name": "HistoricalEstablishments.2015"
},
{
  "name": "HistoricalEstablishments.2016"
},
{
  "name": "HistoricalEstablishments.2017"
},
{
  "name": "HistoricalEstablishments.2018"
},
{
  "name": "HistoricalEstablishments.2019"
},
{
  "name": "HistoricalEstablishments.2020"
},
{
  "name": "HistoricalEstablishments.2021"
},
{
  "name": "HistoricalEstablishments.2022"
},
{
  "name": "HistoricalEstablishments.2023"
},
{
  "name": "HistoricalEstablishments.2024"
},
{
  "name": "HistoricalEarnings.2011"
},
{
  "name": "HistoricalEarnings.2012"
},
{
  "name": "HistoricalEarnings.2013"
},
{
  "name": "HistoricalEarnings.2014"
},
{
  "name": "HistoricalEarnings.2015"
},
{
  "name": "HistoricalEarnings.2016"
},
{
  "name": "HistoricalEarnings.2017"
},
{
  "name": "HistoricalEarnings.2018"
},
{
  "name": "HistoricalEarnings.2019"
},
{
  "name": "HistoricalEarnings.2020"
},
{
  "name": "HistoricalEarnings.2021"
},
{
  "name": "HistoricalEarnings.2022"
},
{
  "name": "HistoricalEarnings.2023"
},
{
  "name": "HistoricalEarnings.2024"
}
]

Dimensions

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

Attributes

{
"minYearInclusive": "2003",
"estabYear": "2024",
"name": "Industry",
"path": "Industry",
"type": "dataset",
"maxYearInclusive": "2034",
"earnYear": "2024",
"currentYear": "2024",
"countryCode": "uk",
"datarun": "2025.1",
"description": "# Description\n\nThis dataset contains industry data by area, industry, class of worker, and year. Data is available for the United Kingdom (England, Scotland, Wales, and Northern Ireland).\n\nNote that, due to a lack of data, Northern Ireland self-employment is estimated using Northern Ireland employment and Welsh self-employment-to-employment ratios. For more information see https://kb.economicmodelling.co.uk/emsis-uk-data-process-overview/\n\n# Questions answered by this dataset\n\n* What is the fastest-growing industry in London?\n* In what region of England are earnings for the finance industry the lowest?\n* How many hospitals are there in London? How many were there in 2013?\n\n# Metrics\n\n* Jobs: The number of occupied positions. This is not quite the same as workers because one worker might fill more than one position.\n* Earnings: Total earnings for the industry.\n* EPW: Earnings Per Worker is current year earnings divided by current year jobs. (EPW = Earnings / Jobs).\n* Establishments: The number of physical business locations.\n\n# Filters\n\n* Area (Nation, Country, NUTS1, NUTS3, and LAU1)\n* Industry (1 to 5-digit SIC)\n* Class of Worker\n* Year\n",
"displayName": "UK Industry",
"estabStartYear": "2011",
"earnStartYear": "2011",
"releaseDate": "2025-02-25 00:53:09.1227865Z"
}

Updated 11 days ago