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Data Provider: Welsh Government Experimental Statistics Support staff by measure (full-person equivalent (FPE) and full-time equivalent (FTE)) and staff category
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Sector 1[Filter]
Sex 1[Filter]
[Collapse]Staff category[Filter]
Staff category 1
Click here to sortFull-Time Equivalent (FTE)The FTE shows individuals split by the proportion of full-contract time they spend in each role. A FTE of 10 is equal to people working a full time contract in any role. See our statistical release for further information.Click here to sortFull-Person Equivalent (FPE)The FPE shows individuals split by the proportion of working time they spend in each role. A FPE of 10 is equal to 10 people working their whole time in 1 role. See our statistical release for further information.
[Collapse]Total: Support Staff24,16030,860
Total: Support StaffHigher level teaching assistantHigher level teaching assistant (HLTA)1,3901,590
Teaching assistantsTeaching assistants or aides employed in the classroom12,92515,660
Foreign language assistantsForeign language assistants or language support2030
SEN/ALN co-ordinatorIncludes individuals where SEN/ALN co-ordinator is their main role only.200250
SEN/ALN support staffSEN/ALN support staff3,0503,640
School business managerSchool business manager or equivalent350370
Pastoral support staff1,0151,115
ICT staff275290
Administration staff2,4302,870
Science and laboratory technicians290335
Librarians and library assistants6070
Matrons/nurses/medical staffMatrons or nurses or medical staff (including NHS employees)3035
Examinations officers/Invigilators165255
Midday supervisors6352,415
Advisory staff*Numbers greater than zero but less than five.5
Other support staff1,3301,940



Support staff by measure (Full-Person Equivalent (FPE) and Full-Time Equivalent (FTE)) and staff category

Last update

July 2023 July 2023

Next update

July 2024 (provisional)

Publishing organisation

Welsh Government

Source 1

School Workforce Annual Census

Contact email


Experimental statistics

Geographical coverage

Local authorities

Languages covered

English and Welsh

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

The data covers different aspects of the school workforce in Wales, using the data collected from the School Workforce Annual Census (SWAC).

Data collection and calculation

School's data are derived from the School Workforce Annual Census (SWAC) returns in November each year.

Frequency of publication


Data reference periods

From 2019/20 onwards

Users, uses and context

For the 2020 data, the Full-Time Equivalent (FTE) and the Full-Person Equivalent (FPE) were introduced to help communicate the distribution of the school workforce. Both the FTE and the FPE take into account that an individual may work in more than role. These measures differ to the Headcount (first published for the 2019 dataset) which counts individuals in their highest (most senior) role only.

The full-time equivalent (FTE) is an employee's scheduled hours divided by the employer's hours for a full-time workweek e.g. a part-time worker employed for 20 hours a week where full-time work is 40 hours is counted as 0.5 FTE.

The FPE is the proportion of a person's total working time that is spent in a particular role. As the FPE is concerned with the individual, a person's FPE will always sum to 1, even if their FTE is not equal to 1.

Rounding applied

* = numbers greater than zero but less than five. Support Staff numbers have been rounded to the nearest 5.


SWAC; Support Staff; Workforce; FTE; FPE

Statistical quality

The information collected for 2019, 2020, 2021 and 2022 have not undergone a formal final validation period. However, various stages of automated validation and sense-checking are built into the process to ensure a high quality of data to inform policy making. A final validation period is being considered to be introduced for future collections for schools and LAs to review the information they return, and re-submit their data where errors are identified prior to publication.