Prison Officers

(asked on 17th January 2019) - View Source

Question to the Ministry of Justice:

To ask the Secretary of State for Justice, how many band three to five prison officers at each high-security institution had (a) less than three years' experience and (b) three or more than three years’ service in (i) 2010 and (ii) 2018.


Answered by
 Portrait
Rory Stewart
This question was answered on 25th January 2019

Table 1: HMPPS Prison Officer1 staff in post, by length of service2 (full time equivalent) as at 30th September 2010 and 2018

September 2010

FTE

Organisation

Less than 3 years

3 years and over

Total Prison Officer

% less than 3 years

Belmarsh

28.5

469.6

498.2

6%

Frankland

29.0

564.3

593.3

5%

Full Sutton

13.0

411.3

424.3

3%

Long Lartin

66.3

322.8

389.0

17%

Manchester

20.0

460.6

480.6

4%

Wakefield

14.0

398.2

412.2

3%

Whitemoor

31.0

369.0

400.0

8%

Woodhill

44.0

398.0

442.0

10%

September 2018

FTE

Organisation

Less than 3 years

3 years and over

Total Prison Officer

% less than 3 years

Belmarsh

169.0

257.8

426.8

40%

Frankland

106.0

432.9

538.9

20%

Full Sutton

117.0

310.9

427.9

27%

Long Lartin

49.0

266.2

315.2

16%

Manchester

182.0

302.6

484.6

38%

Wakefield

70.0

261.5

331.5

21%

Whitemoor

102.0

263.0

365.0

28%

Woodhill

227.5

237.0

464.5

49%

Notes to Table 1:

  1. Includes Band 3-4 / Prison Officer (incl specialists), Band 4 / Supervising Officer and Band 5 / Custodial Managers.

  2. Length of service in HMPPS calculated from most recent hire date. Where staff have transferred in from another Government Department or have transferred in through HMPPS taking over a function, length of service is calculated from entry to HMPPS.

As with all HR databases, extracts are taken at a fixed point in time to ensure consistency of reporting. However the database itself is dynamic and where updates to the database are made late, subsequent to the taking of the extract, these updates will not be reflected in figures produced by the extract. For this reason, HR data are unlikely to be precisely accurate.

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