Data set from Occupations in demand

Scaled and weighted occupation demand

Not the latest data
Published
Last updated
This file contains demand indicators used in determining occupations in demand after weighting and scaling together with the overall demand index.

Data set details

Theme
Labour market and skills
Publication
Occupations in demand
Release type
Number of rows
66,273
Geographic levels
National
Indicators
  • Visa application density
  • Skills shortage vacancy density
  • Online job advert density
  • Annual change in hourly wage
  • Wage premium
  • Annual change in hours worked
  • Annual change in contract or temporary workers
  • Demand index
  • Average hourly wage
  • Number of occupations
  • Number of workers
  • Proportion of workers
  • Proportion of workers in demand
  • Number of indicators imputed from 3-digit SOC
  • Number of indicators with missing data
Filters
  • SOC20
  • SOC20 Description
  • Demand type
  • ONS skill level
  • Occupation group
  • Occupation is in STEM
  • Occupation is in construction
  • Occupation is in the shortage occupation list
Time period
2024

Data set preview

Table showing first 5 rows, from underlying data
SOC20SOC_descriptionvisa_application_densityskills_shortage_vacancy_densityonline_job_ad_densityannual_change_in_hourly_wagewage_premiumannual_change_in_hours_workedannual_change_in_contract_temp_workersdemand_indexdemand_levelhourly_wageemployeesclusterskill_levelshortage_occupation_listconstructionSTEMcountpercentdemand_level_percentimputed_indicatorsmissing_indicatorstime_periodtime_identifiergeographic_levelcountry_codecountry_name
TotalTotal-0.00000000000000001480448047902030.00000000000000004679218160363580.000000000000000104119674554622-0.0000000000000000104802983214752-0.000000000000000004693147383871450.00000000000000000983719863999794-0.00000000000000001120612488746760.0000000000000000152358428285017Total17.347422360248432746800TotalTotalTotalTotalTotal4121001002751082024Reporting yearNationalK02000001United Kingdom
1111Total0.583168477517658x-1.15303092383342-0.8064728970182212.719203985468370.744622260032706-0.8019380787244260.214258803907111Total41.98116100TotalTotalTotalTotalTotal10.3545384587196310.354538458719631012024Reporting yearNationalK02000001United Kingdom
1112Totalxxx-1.206999780210162.469780276446640.800304181767139-0.4173119200006030.411443189500754Totalx10800TotalTotalTotalTotalTotal10.0329803217413610.032980321741361432024Reporting yearNationalK02000001United Kingdom
1121Total-0.2517791187055510.337226539187614-0.5855758674498972.137432523636270.1183337682630110.3746219130409950.1408579264557040.324445383489735Total24.95270400TotalTotalTotalTotalTotal10.8257295369318530.825729536931853002024Reporting yearNationalK02000001United Kingdom
1122Total-0.237732559712555-0.0148495976341336-0.249097148558347-0.000235239556052008-0.4408011877901560.410402334378459-0.0442456381631421-0.0823655767194182Total23.68162200TotalTotalTotalTotalTotal10.4953155728193290.495315572819329002024Reporting yearNationalK02000001United Kingdom

Variables in this data set

Table showing all 23 variables
Variable nameVariable description
annual_change_in_contract_temp_workersAnnual change in contract or temporary workers
annual_change_in_hourly_wageAnnual change in hourly wage
annual_change_in_hours_workedAnnual change in hours worked
clusterOccupation group - Filter by occupation cluster groups
constructionOccupation is in construction - Filter by construction occupations
countNumber of occupations
demand_indexDemand index
demand_levelDemand type - Filter by type of demand
demand_level_percentProportion of workers in demand
employeesNumber of workers
hourly_wageAverage hourly wage
imputed_indicatorsNumber of indicators imputed from 3-digit SOC
missing_indicatorsNumber of indicators with missing data
online_job_ad_densityOnline job advert density
percentProportion of workers
shortage_occupation_listOccupation is in the shortage occupation list - Filter by shortage occupation list occupations
skill_levelONS skill level - Filter by skill level
skills_shortage_vacancy_densitySkills shortage vacancy density
SOC_descriptionSOC20 Description - Filter by occupation description
SOC20SOC20 - Filter by occupation
STEMOccupation is in STEM - Filter by STEM occupations
visa_application_densityVisa application density
wage_premiumWage premium

Footnotes

  1. Some occupations from ONS’ job advert statistics were excluded from this analysis since the relative occupational distribution compared with annual population survey occupational data were judged in some cases to be relatively atypical. ONS plan to continue improving their statistics, including with an enhanced SOC allocation process, which may trigger revisions of the occupations excluded in future. 
  2. Only occupations which did not have any missing demand indicator data and were not otherwise excluded from the analysis were included in the clustering analysis, 268 out of 412 occupations.
  3. Only four occupations were grouped into group 1. These occupations were grouped together because visa application density was their main demand indicator and this indicator was much higher than seen in all other occupations, indicating these occupations may react strongly to changes to visa rules.
  4. The demand index covers a range of scores between -1.22 and 1.49.
  5. Elected officers and representatives and senior officers in fire, ambulance, prison and related services are in critical demand due to a high wage premium and annual change in hours worked indicator respectively. However, data for these occupations is unavailable for three out of seven indicators and data is imputed from 3-digit SOC20 data for the remaining four. This also applies to three occupations in elevated demand: collector salespersons and credit agents, market and street traders and assistants, and visual merchandisers and related occupations. Care should be taken when considering the demand for these occupations.
  6. Proportions may not sum to 100% due to rounding.

Using this data

  • Download the underlying data as a compressed ZIP file

  • View or create your own tables

    View tables that we have built for you, or create your own tables from open data using our table tool

Download this data using code

Access this data using common programming languages using the URL below.

Example code

Python
import pandas as pd

pd.read_csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/1786e46f-f2ea-41f1-a0c1-fccd53875872/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/1786e46f-f2ea-41f1-a0c1-fccd53875872/csv")

Contact us

If you have a specific enquiry about Scaled and weighted occupation demand statistics and data:

Skills England

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