Data set from Further education outcomes

a. Destinations by demographics and provision (NAT01)

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Reports on the employment and learning destinations of adult FE & Skills learners, all age apprentices that achieved their learning aim, and Traineeship learners that completed their aim. Destination rates are calculated as a proportion of learners for whom a match was found in the LEO data. Includes earnings data one year after learning for learners achieving at Full level 2, Full level 3 and Level 4+. Broken down by provision, learner demographics and level of learning. Please note that the number of rows in this file exceeds the number which can be opened within Microsoft Excel. We therefore recommend using this data within the table builder tool, rather than downloading it directly.

Data set details

Theme
Destination of pupils and students
Publication
Further education outcomes
Release type
Number of rows
1,251,491
Geographic levels
National
Indicators
  • Advanced apprenticeship (Level 3 or above)
  • Any learning rate
  • Below Level 2 (excluding English & Maths)
  • Destination not sustained
  • Destination not sustained and in receipt of benefits
  • Destination not sustained and not on benefits
  • English & Maths
  • Full Level 2
  • Full Level 3
  • In receipt of benefits only
  • Intermediate apprenticeship (Level 2)
  • Learners
  • Learners with earnings one year after study
  • Level 2
  • Level 3
  • Level 4/5
  • Level not assigned
  • Lower quartile annualised earnings
  • Median annualised earnings
  • No activity captured in data
  • Number of learners matched to LEO data
  • Self-employed rate
  • Sustained further education rate
  • Sustained apprenticeship rate
  • Sustained employment and learning
  • Sustained employment only rate
  • Sustained employment rate
  • Sustained higher education rate (Level 6+)
  • Sustained learning only rate
  • Sustained learning rate
  • Sustained positive destination rate
  • Sustained progression from achieved aim
  • Upper quartile annualised earnings
Filters
  • Age Band
  • Apprenticeship type
  • BAME
  • Benefit learner
  • Ethnicity
  • Ethnicity group
  • Gender
  • Grouped level of learning
  • Learning difficulties
  • Level of learning
  • Provision
Time period
2013/14 to 2018/19

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_nameProvisionLevelOfLearningGroupLevelOfLearningAppTypeGenderAgeBandLearningDifficultiesBAMEEthnicityEthnicityDetailedBenefitLearnerNumberOfLearnersNumberOfMatchedLearnersSPDPercentEmpPercentSelfEmpPercentEmpOnlyPercentEmpAndLearnPercentLearnPercentLearnOnlyPercentFEPercentBelowL2PercentEngMathPercentLevel2PercentFullLevel2PercentLevel3PercentFullLevel3PercentLevel4PlusPercentNotAssignedPercentHEPercentAppPercentAppIntermediatePercentAppAdvancedPlusPercentAnyLearnPercentProgressionSustainedPriorPercentNotSustainedPercentNotSustainedNBPercentNotSustainedBenefitPercentBenefitPercentNoDestPercentLearnersWithEarnings25thPercentileMedian75thPercentile
201819Academic yearNationalE92000001EnglandTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalTotal9940709837507565552132310181731321044133965124885107820145301905024980
201819Academic yearNationalE92000001EnglandTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalBenefit learners24083024083051383335171215173111002101395623122251265089801472018500
201819Academic yearNationalE92000001EnglandTotalTotalTotalTotalTotalTotalTotalTotalTotalTotalNot on benefits75324074292083746581625919163132205514396785327105170146501918025140
201819Academic yearNationalE92000001EnglandTotalTotalTotalTotalTotalTotalTotalBAMETotalTotalTotal2675302615207051537143319271164122105212515414598710810136401926025480
201819Academic yearNationalE92000001EnglandTotalTotalTotalTotalTotalTotalTotalBAMETotalTotalBenefit learners760907609055323266282225117311100310049462212122145075601343018240

Variables in this data set

Table showing all 44 variables
Variable nameVariable description
25thPercentileLower quartile annualised earnings
75thPercentileUpper quartile annualised earnings
AgeBandAge Band - Filter by age band
AnyLearnPercentAny learning rate
AppAdvancedPlusPercentAdvanced apprenticeship (Level 3 or above)
AppIntermediatePercentIntermediate apprenticeship (Level 2)
AppPercentSustained apprenticeship rate
AppTypeApprenticeship type - Filter by apprenticeship type
BAMEBAME - Filter by BAME
BelowL2PercentBelow Level 2 (excluding English & Maths)
BenefitLearnerBenefit learner - Filter by benefit learner status
BenefitPercentIn receipt of benefits only
EmpAndLearnPercentSustained employment and learning
EmpOnlyPercentSustained employment only rate
EmpPercentSustained employment rate
EngMathPercentEnglish & Maths
EthnicityEthnicity group - Filter by ethnicity group
EthnicityDetailedEthnicity - Filter by ethnicity
FEPercentSustained further education rate
FullLevel2PercentFull Level 2
FullLevel3PercentFull Level 3
GenderGender - Filter by gender
HEPercentSustained higher education rate (Level 6+)
LearnersWithEarningsLearners with earnings one year after study
LearningDifficultiesLearning difficulties - Filter by learning difficulties
LearnOnlyPercentSustained learning only rate
LearnPercentSustained learning rate
Level2PercentLevel 2
Level3PercentLevel 3
Level4PlusPercentLevel 4/5
LevelOfLearningLevel of learning - Filter by level of learning
LevelOfLearningGroupGrouped level of learning - Filter by level of learning group
MedianMedian annualised earnings
NoDestPercentNo activity captured in data
NotAssignedPercentLevel not assigned
NotSustainedBenefitPercentDestination not sustained and in receipt of benefits
NotSustainedNBPercentDestination not sustained and not on benefits
NotSustainedPercentDestination not sustained
NumberOfLearnersLearners
NumberOfMatchedLearnersNumber of learners matched to LEO data
ProgressionSustainedPriorPercentSustained progression from achieved aim
ProvisionProvision - Filter by provision type
SelfEmpPercentSelf-employed rate
SPDPercentSustained positive destination rate

Footnotes

  1. Sustained employment rate may be a slight undercount and should be treated as provisional - see methodology for details.

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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/e9ff00f6-56ac-4871-9233-969b34aa292b/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/e9ff00f6-56ac-4871-9233-969b34aa292b/csv")

Contact us

If you have a specific enquiry about a. Destinations by demographics and provision (NAT01) statistics and data:

Further education outcomes statistics

Email: FE.OUTCOMESDATA@education.gov.uk
Contact name: Hannah Keogan