Data set from Graduate labour market outcomes (LEO)

International countries data

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Employment outcomes and earnings data for international graduates of English Higher Education providers, for the top 20 countries that had the largest first degree and level 7 cohorts (2020/21 academic year).

Data set details

Theme
Higher education
Publication
Graduate labour market outcomes (LEO)
Release
Tax year 2022-23
Release type
Number of rows
2,520
Geographic levels
National
Indicators
  • Activity not captured
  • Further study with or without sustained employment
  • Graduates
  • Graduates included in earnings figures
  • Graduates included in outcomes calculation
  • Lower quartile of earnings of graduates
  • Matched graduates
  • Median earnings of graduates
  • No sustained destination
  • Overseas graduates
  • Sustained employment further study or both
  • Sustained employment only
  • Sustained employment with or without further study
  • Unmatched graduates
  • Upper quartile of earnings of graduates
Filters
  • Country name
  • Domicile
  • Graduate sex
  • Qualification level
  • Years after graduation
Time period
2016-17 to 2022-23

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_nameacademic_yearYAGqualification_levelcountry_of_domicile_groupedcountry_of_domicilesexgradsgrads_ukunmatched_percentoverseas_percentmatchedactivity_not_capturedno_sust_destsust_emp_onlysust_emp_with_or_without_fssust_emp_fs_or_bothfs_with_or_without_sust_empearnings_includeearnings_LQearnings_medianearnings_UQ
202223Tax yearNationalK02000001United Kingdom2018/20193 YAGFirst-degreeNon-EUMalaysiaMale1735172563.30.663521.11.29.111.214.35.2150334004780061000
202223Tax yearNationalK02000001United Kingdom2020/20211 YAGFirst-degreeEUBulgariaFemale61561011.2154024.37.237.448.657.319.9215197002520033200
202223Tax yearNationalK02000001United Kingdom2018/20193 YAGLevel 7Non-EUIndiaMale3675357529.42.6252547.42.215.41920.95.5510252003690055800
202122Tax yearNationalK02000001United Kingdom2019/20201 YAGFirst-degreeEUPolandFemale9008504.25.381518.54.33157.572.941.9245183002390028800
202021Tax yearNationalK02000001United Kingdom2018/20191 YAGLevel 7EUCyprusMale38536050.66.718014.43.621.426.131.41075223002850036100

Variables in this data set

Table showing all 20 variables
Variable nameVariable description
activity_not_capturedActivity not captured
country_of_domicileCountry name - Filter by Country name
country_of_domicile_groupedDomicile - Filter by Domicile
earnings_includeGraduates included in earnings figures
earnings_LQLower quartile of earnings of graduates
earnings_medianMedian earnings of graduates
earnings_UQUpper quartile of earnings of graduates
fs_with_or_without_sust_empFurther study with or without sustained employment
gradsGraduates
grads_ukGraduates included in outcomes calculation
matchedMatched graduates
no_sust_destNo sustained destination
overseas_percentOverseas graduates
qualification_levelQualification level - Filter by Qualification level
sexGraduate sex - Filter by Graduate sex
sust_emp_fs_or_bothSustained employment further study or both
sust_emp_onlySustained employment only
sust_emp_with_or_without_fsSustained employment with or without further study
unmatched_percentUnmatched graduates
YAGYears after graduation - Filter by Years after graduation

Footnotes

  1. In contrast to the UK domiciled section of this release, which uses matched graduates, employment and/or further study outcomes for international graduates are calculated as a percentage of all graduates, excluding only those identified by DWP/HMRC or SLC as permanently living overseas.
  2. The top 20 countries by graduate population were calculated for the one year after graduation cohort (2020/21 academic year) for the 2022/23 tax year. These countries were used for subsequent analysis to allow for comparison between the remaining tax and academic years.

Using this data

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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/80346429-4f74-4afc-a89a-ddb1adc55700/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/80346429-4f74-4afc-a89a-ddb1adc55700/csv")

Contact us

If you have a specific enquiry about International countries data statistics and data:

Higher Education Graduate Outcomes Analysis

Email: he.leo@education.gov.uk
Contact name: Amy Wilson