Data set from Graduate labour market outcomes (LEO)

International countries data

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Last updated
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 (in the 2021/22 academic year).

Data set details

Theme
Higher education
Publication
Graduate labour market outcomes (LEO)
Release
Tax year 2023-24
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
  • Years after graduation
  • Qualification level
  • Country name
  • Domicile
  • Graduate sex
Time period
2017-18 to 2023-24

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
202324Tax yearNationalK02000001United Kingdom2021/20221 YAGLevel 7Non-EUUnited Arab EmiratesFemale42540541.24.324013.84.931.934.1408.1125256003180040300
202223Tax yearNationalK02000001United Kingdom2016/20175 YAGLevel 7EUIrelandFemale58051025.21238527.53.734.841.843.68.8165285003800048900
201819Tax yearNationalK02000001United Kingdom2016/20171 YAGLevel 7Non-EUNigeriaMale2040195516.84.4162550.24.116.526.328.912.4230172002570035400
201819Tax yearNationalK02000001United Kingdom2016/20171 YAGLevel 7Non-EUUnited StatesFemale2955292052.91.31375222.515.318.222.67.3370201002810041200
202122Tax yearNationalK02000001United Kingdom2015/20165 YAGLevel 7Non-EUUnited StatesFemale2805272554.42.9124025.51.413.616.218.75.1325245003690053700

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 sections 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 (2021/22 academic year) for the 2023/24 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/292198f9-4635-44b5-8d33-789c7b6b51c6/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/292198f9-4635-44b5-8d33-789c7b6b51c6/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