Data set from Career pathways: post-16 qualifications held by employees

Employee numbers and median earnings by region, sector, subsector, level and subject

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Data showing employee numbers and median earnings by region, sector, sub-sector, level and subject area. Employee numbers are presented as volumes and as percentages by level, sector and sub-sector, region and subject area. This dataset includes the full cohort of employees.  It is designed to work with the table creator tool.

Data set details

Theme
Further education
Publication
Career pathways: post-16 qualifications held by employees
Release type
Number of rows
166,972
Geographic levels
National, Regional
Indicators
  • Median annual earnings
  • Number of employees
  • Proportion of employees by industry sector
  • Proportion of employees by industry subsector
  • Proportion of employees by level
  • Proportion of employees by region
  • Proportion of employees by subject
Filters
  • Highest qualification level
  • Industry sector
  • Industry sub-sector
  • Subject of highest qualification
Time period
2018-19

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_nameregion_nameregion_codesectorsubsectorlevel_groupsubjectemployeesmedian_earningspct_subjectpct_levelpct_subsectorpct_sectorpct_region
201819Tax yearNationalE92000001EnglandAccommodation & foodAccommodationBelow level 2Agriculture, Horticulture and Animal Care10u0.51.333.3100100
201819Tax yearNationalE92000001EnglandAccommodation & foodAccommodationBelow level 2Arts, Media and Publishing2064001.10.413.4100100
201819Tax yearNationalE92000001EnglandAccommodation & foodAccommodationBelow level 2Business, Administration, Finance and Lawlowu0.20.110.3cc
201819Tax yearNationalE92000001EnglandAccommodation & foodAccommodationBelow level 2Construction and Planning10u0.51.415.9100100
201819Tax yearNationalE92000001EnglandAccommodation & foodAccommodationBelow level 2Engineering and Manufacturing Technologies10u0.6111.6100100

Variables in this data set

Table showing all 11 variables
Variable nameVariable description
employeesNumber of employees
level_groupHighest qualification level - Filter by highest qualification level
median_earningsMedian annual earnings
pct_levelProportion of employees by level
pct_regionProportion of employees by region
pct_sectorProportion of employees by industry sector
pct_subjectProportion of employees by subject
pct_subsectorProportion of employees by industry subsector
sectorIndustry sector - Filter by industry sector
subjectSubject of highest qualification - Filter by subject of highest qualification
subsectorIndustry sub-sector - Filter by industry sub-sector

Footnotes

  1. Data are restricted to employees born between September 1988 and August 1993. These employees turned age 25-30 in the 2018-19 tax year.

Using this data

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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/8bbd17d0-e3ae-4aa9-905f-a8c118d78535/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/8bbd17d0-e3ae-4aa9-905f-a8c118d78535/csv")

Contact us

If you have a specific enquiry about Employee numbers and median earnings by region, sector, subsector, level and subject statistics and data:

Unit for Future Skills

Email: ufs.contact@education.gov.uk
Contact name: Jay Khamis