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As the demand increases for statistics and data to measure the impact of the COVID-19 pandemic, we have had to change our data gathering and release practices, focussing efforts on priority analysis and statistics.

Data Provider: Welsh Government National Statistics Participation of 16-30 year olds in education by sector, mode, age and year
Gender 1[Filter]
Year End[Filtered]
Age 1
Sector 1
[Collapse]16 - 18Click here to sort16 - 18[Collapse]19 - 24Click here to sort19 - 24[Collapse]25 - 30Click here to sort25 - 30
Click here to sort16Click here to sort17Click here to sort18Click here to sort19Click here to sort20Click here to sort21Click here to sort22Click here to sort23Click here to sort24Click here to sort25Click here to sort26Click here to sort27Click here to sort28Click here to sort29Click here to sort30
Full-time education[Collapse]Total132,340118,46098,250349,07098,28096,04065,85039,47025,16018,040342,84013,47010,7408,8707,4706,3205,52052,390
Further Education63,89058,65030,170152,71012,8106,1003,6802,5702,0701,76029,0001,5101,4301,3501,1901,0409707,440
Higher Education301,03061,24062,30085,21089,94062,17036,89023,10016,290313,58011,9809,3307,5206,2905,2904,56044,960
Open University..................
Part-time education[Collapse]Total9,5107,9007,10024,5107,0207,2207,8208,5809,2809,59049,4909,7609,8909,6609,3609,2909,11057,030
Further Education8,3907,2105,51021,0904,0203,3903,2903,3803,5803,73021,4003,8204,1104,0303,9203,9303,98023,790
Higher Education1,0305801,3202,9202,4903,1003,5103,9704,3604,41021,8204,4204,1804,0003,7903,7103,58023,650
Open University1001302804905207401,0201,2401,3301,4506,2801,5201,6201,6501,6601,6301,5709,600
[Collapse]Work Based Learning[Expand]Total9,26012,12012,59033,96011,2809,4608,0307,2406,7806,35049,1005,6004,6704,2404,1803,9303,67026,250


Participation of 16-30 year olds in education by age

Last update
July 2020 July 2020

Next update
July 2021 (provisional)

Publishing organisation
Welsh Government

Source 1
Pupil Level Annual School Census (PLASC), Welsh Government

Source 2
Lifelong Learning Wales Record, Welsh Government

Source 3
Others: Post-16 Pupil Level Annual School Census (PLASC), Welsh Government; Higher Education Statistics Agency; Mid-year Population Estimates, Office for National Statistics

Contact email

National Statistics

Lowest level of geographical disaggregation

Geographical coverage

Languages covered
English only

Data licensing
You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see

General description
These data provide information on participation of 16-30 year olds in education and training by selected age groups. The single year of age data are also presented. Further age groups in the 16-30 year old range can be provided on request.

Data collection and calculation
Data Source: ONS ( mid year population estimates), HESA, Welsh Government Lifelong Learning Wales Record (LLWR) ,Pupil Level Annual School Census (PLASC)

Frequency of publication

Data reference periods
Data is published annually. 2019 data is provisional.

Users, uses and context
Provides policy makers and those working with young people with data to monitor trends in participation and assess the impact of education and labour market interventions on young people.

Rounding applied
Most data are rounded to the nearest ten, apart from population estimates which are rounded to the nearest one hundred. Due to rounding the sums of rows or columns may not add to the total figure given.

Revisions information
2019 figures are provisional and will be finalised in next year's publication, due for release in July 2021.

Statistical quality
From 2004 onwards, the end of year populations have been derived from the mid-year estimates and population projections provided by the ONS then adjusted to age as at 31 August. For example age as at 31 August 2018 is used in the provisional figures for year end 2018.

The economic status proportions are estimated from the Annual Population Survey. Therefore, these estimates will be subject to variation due to sampling error and also non-sampling error and should be treated with caution.