Data set from Apprenticeships

Learner Characteristics In-year - Starts by Age, Ethnicity, LLDD, Sex

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Published
Last updated
Apprenticeship starts and achievements by learner characteristics. Includes the latest reported to date figures for the current year, plus data for the three previous years at the same point in time.

Data set details

Theme
Further education
Publication
Apprenticeships
Release type
Geographic levels
National
Indicators
  • Starts
  • Starts percentage
  • Achievements
Filters
  • Breakdown
Time period
2021/22 to 2024/25

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_namebreakdown_topicbreakdownstartsachievementsstarts_percentachievements_percent
202122Academic yearNationalE92000001EnglandTotalTotal20399050920100100
202122Academic yearNationalE92000001EnglandAgeUnder 19562201153027.622.6
202122Academic yearNationalE92000001EnglandAge19-2463150160603131.5
202122Academic yearNationalE92000001EnglandAge25+846302334041.545.8
202122Academic yearNationalE92000001EnglandAge19+1477703940072.477.4

Variables in this data set

Table showing all 5 variables
Variable nameVariable description
achievementsAchievements
achievements_percentAchievements percentage
breakdownBreakdown
startsStarts
starts_percentStarts percentage

Footnotes

  1. Age for achievements is based on age at the start of the programme, not the age at which they achieved.
  2. Age for starts is based on age at the start of the programme.
  3. Ethnic minorities do not include white minorities.
  4. Ethnicity categories have been aligned with the ethnicities recorded in the 2011 UK Census.
  5. Figures for the academic year(s) shown cover the first two quarters (Aug to Jan) reported to date.
  6. Learner characteristics (such as sex, learners with learning difficulties and/or disabilities and ethnicity) are based upon self-declaration by the learner.
  7. White comprises white British, Gypsy or Irish Traveller, Irish, and any other white background.
  8. Percentages are rounded to one decimal place and calculated on unrounded volumes. 'low' indicates a percentage below 0.5%. Where data shows 'x' this indicates data is unavailable, 'z' indicates data is not applicable, and 'c' indicates data is suppressed.

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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/bf93772d-fb20-49c0-a611-a3d0ebfa3e9e/csv")