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Definition

The aggregate full-time equivalent staff units for all paid staff.

Components

Data Element (this item)

Representation

This representation is based on the value domain for this data element, more information is available at " Total full-time equivalent staff N[NNN{.N}] ".
Data Type Number
Format N[NNN{.N}]
Maximum character length 5

Comments

Guide for use:

Calculated number of staff (full-time equivalents) for each staffing category.

The ordinary time hours normally worked may differ according to the type of work. The hours under the relevant award or agreement should be used if known. If the relevant award or agreement staff hours for an occupation is not known, or the worker is undertaking a variety of tasks, 38 hours per week should be used as a substitute.

Hours of unpaid leave are to be excluded.

Contract staff employed through an agency are included where the contract is for the supply of labour (e.g. nursing) rather than of products (e.g. provision of photocopies). In the former case, the contract would normally specify the amount of labour supplied and could be reported as full-time equivalent units.

If under the relevant award of agreement a full-time nurse is paid for an 80 (ordinary time) hour fortnight, the full-time equivalent for a part-time nurse who works 64 hours is 0.8 (64 divided by 80). If a full-time nurse under the same award is paid for a 100 hours for that fortnight (20 hours overtime), then the full-time equivalent is 100 divided by 80 = 1.25. This number would then be added to the full-time equivalent staff units for all other staff and the number rounded to one decimal place.

Where staff provide services to more than one establishment, full-time equivalent staff members should be apportioned between all establishments to which services are provided on the basis of hours paid for in each. (Salary costs should be apportioned on the same basis).

References

Related content

Relation Count
Input in Derivations 0
Output in Derivations 0
Inclusion in Data Set Specifications 2
Inclusion in Data Distributions 0
As a numerator in an Indicator 0
As a denominator in an Indicator 0
As a disaggregation in an Indicator 0