- Filename
- SB2324_ees_data.csv
- Geographic levels
- National; Regional
- Time period
- 2023-24
- Content
- Skills Bootcamps starts, completions and outcomes by learner characteristics and course details in England within the 2023-2024 financial year.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
| Variable name | Variable description |
|---|---|
| age_grouped | Age |
| benefit_status | Benefit status |
| cofunded | Cofunded status |
| comp_total | Completions |
| completion_rate | Completion rate |
| delivery_phase | Delivery phase |
| employment_group | Employment status |
| ethnicity_major | Ethnicity |
| highest_education_level | Highest education level |
| lldd | Learner with learning difficulties or disabilities |
| out_total | Outcomes |
| outcome_rate_comp | Outcome rate (% completions) |
| outcome_rate_starts | Outcome rate (% starts) |
| sector | Sector |
| sex | Sex |
| start_total | Starts |
Footnotes
- Counts for blank/unknown variables are excluded from the table.
- Please note that some categories are based on a small number of cases, which may affect how the results should be interpreted. Counts less than 30 have been suppressed.
- Differences in delivery and outcome definitions for employer co-funded and independent (not co-funded) learners limit direct performance comparisons. Co-funded learners are upskilled in their current job with employers part-funding training, and a successful outcome is a new role or responsibility in the same organisation. Independent learners, who may be employed or unemployed without employer funding, achieve a positive outcome by securing a new job or new opportunities if self-employed.
- When cells show ‘no data’, it means there is no corresponding value stored in the underlying file.
- For Skills Bootcamps funded through grants or HGV extensions in the previous financial year, the only available benefits data indicates whether learners were claiming Universal Credit. While the ILR provides more detailed information, we coded all benefit recipients as ‘in receipt of Universal Credit’ and all others as ‘not in receipt of Universal Credit.’ we recognise this generalises learners’ benefit status but is the most accurate approach given the data available.