Data set from Occupations in demand

Industry demand

Latest data
Published
Last updated
This file contains industry level demand data, based on proportional distribution of occupations in demand across industries.

Data set details

Theme
Labour market and skills
Publication
Occupations in demand
Release type
Number of rows
169,499
Geographic levels
National
Indicators
  • Indicators capped at elevated demand due to imputation
  • Indicators imputed from 3-digit SOC
  • Indicators that are in demand
  • Number of industry workers
  • Number of occupation workers
  • Number of occupations
  • Occupation is in STEM
  • Occupation is in construction
  • Occupation is in the immigration salary list
  • Proportion of workers
  • Proportion of workers in demand
  • Uncertainty in demand indicators
Filters
  • Demand level
  • Industry name
  • ONS skill level
  • SOC20
  • SOC20 Description
  • Uncertainty in indicators which are in high demand
Time period
2025

Data set preview

Table showing first 5 rows, from underlying data
soc20_unitsoc20_labelSIC_nameoccupation_workersindustry_workersdemand_levelskill_levelimmigration_salary_listconstructionSTEMindicator_uncertaintyindicator_demandindicator_demand_uncertainty_flagimputation_capped_indicatorsnamed_imputed_indicatorscountpercentdemand_level_percenttime_periodtime_identifiergeographic_levelcountry_codecountry_name
TotalTotalTotal3302360033023600TotalTotalTotalTotalTotalTotalTotalTotalTotalTotal4121001002025Reporting yearNationalK02000001United Kingdom
1111TotalTotal180200180200TotalTotalNoNoNoNo uncertaintyDemand in multiple indicators: change in hours worked, change in hourly wage, wage premium, visa densityTotalNo indicators capped at elevated due to imputationNo indicators imputed10.5456703690693930.5456703690693932025Reporting yearNationalK02000001United Kingdom
1112TotalTotal1480014800TotalTotalNoNoNoUncertainty in visa densityDemand in multiple indicators: change in hours worked, online job advert densityTotalNo indicators capped at elevated due to imputationNo indicators imputed10.04481643430758610.04481643430758612025Reporting yearNationalK02000001United Kingdom
1121TotalTotal246100246100TotalTotalNoNoYesNo uncertaintyDemand in multiple indicators: change in hours worked, change in hourly wage, online job advert density, visa densityTotalNo indicators capped at elevated due to imputationNo indicators imputed10.745224627236280.745224627236282025Reporting yearNationalK02000001United Kingdom
1122TotalTotal165200165200TotalTotalNoYesYesNo uncertaintyDemand in multiple indicators: change in hours worked, online job advert density, visa densityTotalNo indicators capped at elevated due to imputationNo indicators imputed10.5002483072711640.5002483072711642025Reporting yearNationalK02000001United Kingdom

Variables in this data set

Table showing all 18 variables
Variable nameVariable description
constructionOccupation is in construction
countNumber of occupations
demand_levelDemand level - Filter by level of demand
demand_level_percentProportion of workers in demand
immigration_salary_listOccupation is in the immigration salary list
imputation_capped_indicatorsIndicators capped at elevated demand due to imputation
indicator_demandIndicators that are in demand
indicator_demand_uncertainty_flagUncertainty in indicators which are in high demand - Filter by whether an occupation has demand indicators which also hit uncertainty flags
indicator_uncertaintyUncertainty in demand indicators
industry_workersNumber of industry workers
named_imputed_indicatorsIndicators imputed from 3-digit SOC
occupation_workersNumber of occupation workers
percentProportion of workers
SIC_nameIndustry name - Filter by industry name
skill_levelONS skill level - Filter by ONS skill level
soc20_labelSOC20 Description - Filter by occupation description
soc20_unitSOC20 - Filter by occupation unit
STEMOccupation is in STEM

Footnotes

  1. The annual change in hourly wage, wage premium and annual change in hours worked indicators do not include Northern Ireland data, whereas the visa density and online job advert density indicators include data for the whole of the UK. This could disproportionately impact occupations which have a large proportion of workers in Northern Ireland.
  2. Proportions may not sum to 100% due to rounding.
  3. Industry worker volumes proportionately distribute occupation workers using the distributions shown in the mapping of occupations to industries supporting file.
  4. Proportion uses the total number of workers in the respective industry as the denominator
  5. Proportion uses the total number of workers in the respective demand level and industry as the denominators.
  6. Rounded to the nearest 100.

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Example code

Python
import pandas as pd

pd.read_csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/17bfed6e-4133-4796-9006-df89163446f2/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/17bfed6e-4133-4796-9006-df89163446f2/csv")

Contact us

If you have a specific enquiry about Industry demand statistics and data:

Skills England

Email: skills.england@education.gov.uk
Contact name: Danni Fox