Written answers

Tuesday, 12 February 2019

Department of Defence

Defence Forces Personnel Data

Photo of Aengus Ó SnodaighAengus Ó Snodaigh (Dublin South Central, Sinn Fein)
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115. To ask the Taoiseach and Minister for Defence the amount of sick leave taken by members of the Army, Air Corps and Naval Service in each year since 2000, by officer and enlisted personnel per service, in tabular form. [6513/19]

Photo of Paul KehoePaul Kehoe (Wexford, Fine Gael)
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In line with other sectors, sick leave statistics for the Permanent Defence Force are compiled annually and provided to the Department of Public Expenditure and Reform (D/PER). These statistics are used in order to track the level of absenteeism across the Public Service. The absentee rates for the Public Service are then published by D/PER.

As per Defence Force Regulation A12, sick leave may be granted to a member of the Permanent Defence Force, on the recommendation of a Medical Officer, or if not practicable, on the recommendation of a civilian medical practitioner.

The total number of sick leave days taken by members of the Army, Air Corps and Naval Service, in each year since 2005*, by officer and enlisted personnel, as advised by the Military Authorities, are set out in tabular form below.

Year Army OfficerArmy

Other Ranks
Air Corps

Officer
Air Corps

Other

Ranks
Naval Service

Officer
Naval Service

Other Ranks
201813146929031476916227502
201713096338253359124756706
201612106196651743592296872
201513545490951543283586669
201414874683751041324205488
201315024849840442233875008
201216004544820031902844830
201117995020019525923595359
201015295750740433264115648
200918055290035033922815823
200815926017325969103664686
200713075981030478012217234
2006149060556229122451965934
2005166053992357108533974466

*All absences due to ill health are recorded on the Defence Forces Personnel Management System (PMS). However, sick leave data is not captured on this system prior to 2005. Accordingly, it is not feasible to compile the figures for the years 2000 to 2004 inclusive, due to the large amount of work required in extracting and calculating the totals manually.

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