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Page 1: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

Page 1 of 125

Monthly Performance Report

July 2019

Page 2: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

Contents

Contents...............................................................................................................................................2

1. Introduction................................................................................................................................3

2. Executive Summary...................................................................................................................4

3. Contact.......................................................................................................................................7

4. Incidents...................................................................................................................................14

5. Crime.......................................................................................................................................20

5.1 Victim based crime...........................................................................................................20

5.2 Hate crime........................................................................................................................23

5.3 Domestic abuse................................................................................................................26

5.4 Violence against the person.............................................................................................28

5.5 Stalking and harassment..................................................................................................31

5.6 Sexual Offences...............................................................................................................32

5.7 Rape.................................................................................................................................35

5.8 Burglary............................................................................................................................38

5.9 Theft from the person.......................................................................................................41

5.10 Robbery............................................................................................................................44

5.11 Vehicle offences...............................................................................................................47

5.12 Other crimes against society............................................................................................50

5.13 Possession of weapons offences.....................................................................................53

5.14 Drug offences...................................................................................................................55

5.15 Public order offences........................................................................................................57

5.16 Miscellaneous crimes against society..............................................................................60

5.17 Alcohol-influenced crime...................................................................................................63

5.18 Drug-influenced crime.......................................................................................................63

5.19 Crimes involving knives and sharp instruments...............................................................64

5.20 Crime – summary.............................................................................................................66

6. Investigation.............................................................................................................................70

7. Outcomes.................................................................................................................................78

8. Crime standards and satisfaction............................................................................................94

8.1 Victim satisfaction.............................................................................................................94

8.2 File Quality......................................................................................................................102

8.3 PIP1 investigation standards..........................................................................................105

8.4 National Crime Recording Standards (NCRS)...............................................................109

9. Organisational........................................................................................................................115

10. Appendix................................................................................................................................125

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Page 3: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

1. Introduction

This report contains a range of performance indicators related to crime and investigation. The report supports the deputy chief constable of GMP in governing performance management and ensuring we are delivering GMP's purpose of protecting society and helping keep people safe.

It is not expected that people will read the document from cover to cover; the table of contents and executive summary should be used to direct attention to specific sections or pages.

If you have any feedback about this report please contact any member of the Performance, Analysis and Development Team, External Relations and Performance Branch from the following link:

[email protected]

We will take your views on board and seek to include them in future versions of this product.

More performance guidance, reports, and toolkits can be found in ERPB’s Performance Portal.

Handling caveatsiQuanta data are contained in this report. As such, the entire document is marked as Official-Sensitive, in accordance with Government Security Classifications (GSC). The conditions of use are paraphrased below. For full details, please visit the iQuanta website.

iQuanta data should never be shared with people from other organisations. The charts provided should not be circulated more widely than is necessary for the proper conduct of force or CSP business. Charts showing data for other areas should not be used in public (charts showing Most Similar Group averages are recommended for these situations).

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Page 4: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

2. Executive Summary

1

2

2.1 Performance narrative summary

GMP recorded 846,916 incidents in the twelve months to June 2019 which is a 1% change (+9,499 incidents) compared to the same period the previous year. There been an increase in the six months to June 2019 (3%; +11,340 incidents) compared to the same period last year. Neither of these changes is statistically significant).

There was 9% less total demand into OCR (around 10,500 fewer calls) in June 2019 than in June 2018. We also see that answering time against target measures, for both 999 and 101 calls, improved in June compared with last year also.

In terms of victim based crime, performance data has suggested for some time that recorded crime levels were stabilising. For the 12 months to June 2019, we now see there were 2% (6,047) fewer victim based crimes recorded than in the same period last year. This is a statistically significant reduction. However, we do we continue to see increases in the recording of crime types where there is increased harm; e.g. domestic abuse, rape, hate crime, robbery, and violence. We have also seen significant increases in crimes influenced by alcohol (+21%) and drugs (+33%).

Looking towards July and August 2019, we expect to see a rise in seasonal risk associated with victim based crime, from the ‘medium low’ risk in June to ‘medium’ risk in July, but this reduces again to ‘medium low’ in August. It should also be noted that patterns in anticipated seasonal crime threat align with an anticipated decrease in sickness for July and August with these months identified as ‘medium high’ and ‘medium low’ risk respectively for crime and sickness. It is expected that seasonal risk will be high in July for public order and sexual offences.

Meanwhile, performance data associated with the PIP1 supervisory audits suggests that improvements are continuing to be made with overall compliance (rolling 5 week) remaining stable at 81% over the last 4 months.

In terms of victim satisfaction, there has been an increase the percentage of victims satisfied with the whole experience, from 61.0% [±1.4%] in the twelve months to the end of June 2018 to 62.1% [±1.3%] in the twelve months to the end of June 2019. This change was not statistically significant.

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Page 5: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

2.2 Performance data: summary change over time and projections (where available)

Contact May 2019comparison % change Number

changeTotal public demand Increase 44% 38,842999 and 101 demand Decrease -1% -10,529Calls abandoned (Line Switched) Increase 30% 239999 average handling time Decrease -1% -00:00:06999 average wait time Increase 23% 00:00:03101 average handling time Decrease 0% -00:00:01101 average wait time Increase 25% -00:00:43999 calls demand volume Decrease 0% -61101 calls demand volume Increase -2% 1,061Grade 1 average attended time Decrease -2% -00:00:07Grade 2 average attended time Increase 1% 00:02:00

Incidents June 2018R12 comparison % change Number

changeProjection in

3 months’ timeTotal incidents Increase 1% 9,499 Likely to be higherAnti-social behaviour Sig. decrease -6% -4,562 Likely to be higher

Crime June 2018R12 comparison % change Number

changeProjection in

3 months’ timeVictim based crime Sig. decrease -2% -6,047 Likely to be lowerHate crime Increase 1% 128 Likely to be higherDomestic abuse Increase 1% 1,809 Likely to be higherViolence against the person Increase 1% 1,302 Likely to be higherSexual offences Decrease -1% -112 Likely to be higherRape Increase 1% 20 Likely to be higherBurglary Sig. decrease -7% -2,153 Very likely to be lowerRobbery of personal property Increase 1% 53 Likely to be lowerRobbery of business property Increase 8% 74 Very likely to be higherVehicle offences Increase 0% 97 Likely to be higherOther crimes against society Sig. decrease -12% -8,317 Very likely to be lowerPossession of weapon offences Sig. increase 24% 761 Very likely to be higherDrug offences Sig. increase 25% 1,212 Very likely to be higherPublic order offences Sig. decrease -20% -10,013 Very likely to be lowerMiscellaneous crimes against society Decrease -3% -277 Likely to be lowerInvestigation: Open crimes May 2019 % change Number

change June 2019

Open crimes (all) 26,678 1% 200 26,878Open domestic abuse 4,545 1% 24 4,569Open rape 1,802 0% -2 1,800Open robbery 1,000 -8% -76 924

Outcomes June 2018R12 comparison

% point change

Number change

Domestic abuse: solved Decrease -3.2% -1,169DA: susp not id’d victim refuses (14) Decrease -0.2% -50DA: susp id-vict doesn’t support (16) Increase 10.3% 5,753DA: inv complete no susp id’d (18) Decrease -0.3% -107DA: further Investigation (21) Decrease -1.5% -628Hate crime: solved Decrease -5.5% -463Hate: susp not id victim refuses (14) Increase 1.5% 146Hate: susp id-vict not support (16) Increase 8.5% 775Hate: inv complete no susp id’d (18) Decrease -4.3% -322Hate: further investigation (21) Decrease -2.1% -179Rape: susp id-vict not support (16) Decrease -0.2% -2Rape: inv complete no susp id’d (18) Increase 2.2% 89

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Page 6: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

Investigation April 2019 comparison % change Number

changeOpen bails Increase 5% 40UIs granted Increase 5% 1,012Wanted suspects Decrease -3% -26Arrests Increase 1% 328 (R12 comparison)

NCRS April 2019 May 2019 % point change

Overall compliance 83.4% 84.2% 0.8%Rape compliance 89.4% 81.7% -7.7%Sexual offence compliance 89.4% 87.3% -2.1%

Crime Standards April2018

% point change

April2019

Victim satisfaction* 62.0% 0.2pp 62.2 % (R12 comparison)PIP1 supervisory effectiveness (average compliance) - - 81% (Current rolling 4 weeks)

Sickness days lost June 2018R12 comparison % change May 2019

R12Projection for

July 2019

Days lost per person Decrease -8.7% 14.36 Likely to be at a slightly higher rate

Days lost per police officer Decrease -9.9% 13.76 Likely to be at a slightly higher rate

Days lost per police staff Decrease -7.1% 14.53 Likely to be at a slightly higher rate

Days lost per PCSO Decrease -7.5% 19.31 Likely to be at a slightly higher rate

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Page 7: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

3. Contact

3

3.1 Total public demand – switchboard and 999 emergency demand

*Data quality issues in July/August/September 2017 and April 2018** Switchboard data missing for April and May 2019

3.2 Total OCR demand (comprised of 999 emergency and 101 non-emergency demand)

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Page 8: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

3.3 999 emergency service level (proportion of calls answered within 10 seconds)

3.4 999 emergency demand and proportion of line switches

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Page 9: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

3.5 999 emergency calls: average handling time and average waiting time

3.6 101 non-emergency service level (proportion of calls answered within 30 seconds)

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Page 10: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

3.7 101 non-emergency demand and proportion of abandoned calls

3.8 101 non-emergency calls: average handling time and average waiting time

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Page 11: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

3.9 First contact resolution

*Switchboard dataquality issues for April and May 2019**No FCR data available for April, May, June 2019

First contact resolution is defined as the proportion of calls into the switchboard that are dealt with by switchboard operators and not passed to the Operational Communications Room (OCR) for further work. This includes calls that are resolved through: giving advice, referral to other agency, updating the caller on an incident or crime and call transfers to other departments. This does not include calls that are direct into the OCR through direct lines such as 999, partner agency calls, alarms, and direct calls by officers.

Calls which are resolved at the first point of contact are predominately 101 calls and internal calls: front desk; out of hour’s phones; and requests for transfer to other departments. The switchboard provides a triage function assessing the nature of the call, dealing with the ones that they can and only passing through relevant calls through to the OCR.

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Page 12: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

3.10 Contact – Summary

The number of switchboard calls for June 2019 is 74,562. For May 2019 the total number of switchboard calls in unavailable due to a data quality issue.

In June 2019, the total OCR demand (999 calls and 101 calls) received by GMP was 102,311 calls. This is lower than last month (May 2019: 103,433; 1% decrease) and is 9% lower than the same period last year (June 2018; 112,840). For June 2019 these calls generated 61,097 incidents. Of these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB.

In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds. This is lower than last month (56% in May 2019) but is higher than the same period last year (June 2018; 35%).

The number of 101 non-emergency calls was lower than last month (June 2019: 50,213; May 2019: 51,274 equating to a 2% decrease). This month’s volume is 12% lower than the same period the previous year (June 2018: 56,775). Performance over time charts indicates that there is a reducing trend in the number of 101-non-emergency calls.

20% (10,024) of 101 non-emergency calls were abandoned in June 2019. This is higher than last month (May 2019: 15%) but lower than the same period last year (June 2018: 30%).

The average wait time for answering 101 non-emergency calls in June 2019 was 2 minutes 49 seconds; up from 2 minutes 6 seconds last month (May 2019) and down from 4 minutes 31 seconds when compared to the same period last year (June 2018).

In June 2019, the average handling time for 101 non-emergency calls was 10 minutes 33 seconds; down from 10 minutes 34 seconds last month (May 2019), and this was down from 10 minutes 44 seconds for the same period last year (June 2018).

In June 2019, 76% of the 999 emergency calls were answered within 10 seconds. This is lower than last month (May 2019: 84%) but higher than the same period last year (June 2018: 60%).

The number of 999 emergency calls decreased from 52,159 in May 2019 to 52,098 in June. This month’s volume is 7% lower than the same period last year (June 2018: 56,065).

Line switching means if a 999 call has been queuing for longer than 2 minutes, the call will switch to a secondary line to get answered. If the call does not get answered there within 2 minutes, the call is then switched to an alternative line. If it does not get answered there within 1 minute, the call gets transferred to a contact centre in Merseyside, where an available agent will take the call.

2% (1,025) of 999 emergency calls were ‘line switched’ in June 2019; last month 2% of the calls were line switched. In terms of volume, this is 30% higher than last month (May 2019: 786) and 57% lower than last year (June 2018: 2,408).

The average wait time for answering 999 emergency calls in June 2019 was 13 seconds; this is 3 second higher than last month (May 2019: 10 seconds) but 8 seconds lower than the same period last year (June 2018: 21 seconds).

The average handling time for 999 emergency calls for June 2019 was 7 minutes 32 seconds; 6 seconds lower than last month (May 2019: 7 minutes 38 seconds) and 1 minute lower than the same period last year (May 2018; 6 minutes 32 seconds).

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Page 13: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

Future datasets

For the last 11 months OCB branch have been running the “Live chat” and “101 Recall Campaign”. These campaigns are aimed at reducing the demand coming into the calls handlers in the Operational Control Room (OCR) who deal with 999 emergency and 101 non-emergency calls. We will report on this data as soon as it becomes available.

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Page 14: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

4. Incidents

4

4.1 Total recorded incidents

4.2 Grade 1 incident data

Month Jun-2018 Jul-2018 Aug-2018 Sep-2018 Oct-2018 Nov-2018 Dec-2018 Jan-2019 Feb-2019 Mar-2019 Apr-2019 May-2019 Jun-2019Grade 1 Incidents 7,971 8,552 7,672 7,501 7,557 7,426 8,085 7,488 7,269 8,357 8,120 8,263 7,909% on Target 84% 83% 85% 84% 84% 84% 85% 85% 84% 84% 85% 86% 84%Average Att ended Time 00:11:53 00:12:17 00:11:21 00:12:01 00:11:20 00:13:04 00:11:58 00:11:13 00:12:35 00:11:20 00:11:28 00:11:46 00:11:39

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Page 15: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

4.3 Grade 2 incident data

4.4 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Incidents (Total)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July 2019 is estimated to be a high risk month for total incidents.

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Security Classification: OFFICIAL-SENSITIVE

4.5 IS/SI queue performance

4.5.1 Combined IS/SI queue efficiency

2.5%2.2%

1.9% 1.9%1.7% 1.7% 1.7% 1.6% 1.6%

1.3%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

Tameside Trafford Salford Rochdale Wigan Bolton CoM Oldham Stockport Bury

Combined Queue/FWIN Demand As A Measure of Efficiency

By taking the total number of FWINs on a district (from June 2019) and dividing it by the average number in the SI and IS (from June 2019) we can make an assessment of efficiency in dealing with FWINs. This uses the presumption that an efficient district will have a low proportion of their total FWINs resting in queues.

Using this assessment we can see that Bury is the most efficient district as they have the lowest proportion of total FWINs in queues. Correspondingly Tameside is the least efficient from this snapshot.

For help in understanding this approach and by comparing Trafford and Bury who both have about 3,700 FWINs (for June 2019), on average, Trafford have 81 FWIN’s in their combined SI & IS queue, whereas Bury have 47, the presumption being Bury are more efficient (as illustrated in the above chart).

Clearly there are a lot of other factors that need to be considered such as resourcing and the complexity of the incoming FWINs to provide a true measure of efficiency, but this is a useful proxy.

Of note:

Bury is the most efficient District for the combined queue and the SI queue.

Tameside features as the most inefficient District for Combined and for the SI queue.

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Security Classification: OFFICIAL-SENSITIVE

4.5.2 SI queue efficiency

1.2%1.1%

1.0%

0.9%

0.8%0.7%

0.6%0.5%

0.5%0.4%

0.0%

0.2%

0.4%

0.6%

0.8%

1.0%

1.2%

1.4%

Tameside Rochdale Bolton Trafford CoM Salford Wigan Oldham Stockport Bury

SI Queue/FWIN Demand As A Measure of Efficiency

By taking the total number of FWINs on a district (June 2019) and dividing it by the average number in the SI queue (for June 2019) we can make an assessment of efficiency in dealing with the FWINs. This uses the presumption that an efficient district will have a low proportion of their total FWINs resting in queues.

Using this assessment we can see that Bury is the most efficient district as they have the lowest proportion of total FWINs in queues. Correspondingly Rochdale is the least efficient from this snapshot.

For help in understanding this approach and by comparing Trafford and Bury who both have about 3,700 FWINs (for June 19), on average, Trafford have 32 FWINS’s in their SI queue, whereas Bury have 17, the presumption being Bury are more efficient (as illustrated in the above chart).

Clearly there are a lot of other factors that need to be considered such as resourcing and the complexity of the incoming FWINs to provide a true measure of efficiency, but this is a useful proxy.

Of note:

Bury is the most efficient District for the SI queue.

Stockport is the second most efficient District for the SI queue.

Tameside and Rochdale are the most inefficient Districts for SI.

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Security Classification: OFFICIAL-SENSITIVE

4.5.3 IS queue efficiency

1.4%1.3%

1.2%1.1% 1.1% 1.1%

0.9%0.8%

0.8%0.6%

0.0%

0.2%

0.4%

0.6%

0.8%

1.0%

1.2%

1.4%

1.6%

Trafford Tameside Salford Stockport Wigan Oldham CoM Bury Rochdale Bolton

IS Queue/FWIN Demand As A Measure of Efficiency

By taking the total number of FWINs on a district (June 2019) and dividing it by the average number in the IS queue (for June 2019) we can make an assessment of efficiency in dealing with the FWINs. This uses the presumption that an efficient district will have a low proportion of their total FWINs resting in queues.

Using this assessment we can see that Bolton is the most efficient district as they have the lowest proportion of total FWINs in queues. Correspondingly Trafford is the least efficient from this snapshot.

For help in understanding this approach and by comparing Bury and Trafford who both have about 3,700 FWINs (for June 2019), on average, Trafford have 49 FWINS’s in their IS queue, whereas Bury have 32, the presumption being Bury are more efficient (as illustrated in the above chart).

Clearly there are a lot of other factors that need to be considered such as resourcing and the complexity of the incoming FWINs to provide a true measure of efficiency, but this is a useful proxy.

Of note:

Bolton features as the most efficient District for the IS queue.

Trafford features as the most inefficient District for IS queue.

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Security Classification: OFFICIAL-SENSITIVE

4.6 Incidents – Summary

GMP recorded 846,916 incidents in the twelve months to June 2019 which is a 1% change (+9,499 incidents) compared to the same period the previous year. There been an increase in the six months to June 2019 (3%; +11,340 incidents) compared to the same period last year.

Grade 1 incidents:

In June 2019 there were 7,909 grade 1 incidents. This was a decrease from last month (May 2019: 8,263 a 4% decrease) and was a decrease when comparing against the same period last year (June 2018: 7,971; 1% increase).

Grade 1 incidents attended within target for June 2019 was 84% which is a decrease from last month; 86% May 2019 and is the same compared to the same period last year (June 2018 84%).

Grade 1 average attendance time for June 2019 was 11 minutes 39 seconds and is a decrease from last month; 11 minutes 46 seconds for May 2019 and is a decrease compared to the same period last year (June 2018 11 minutes 53 seconds).

Grade 2 incidents:

In June 2019, there were 20,867 grade 2 incidents. This lower (0%) than last month (May 2019: 20,913) and 9% higher than the same period last year (June 2018: 19,076).

Grade 2 incidents attended within target for June 2019 was 49% which is a decrease from last month; 50% May 2019 and is the same when compared to the same period last year (June 2018 49%).

Grade 2 average attendance time for June 2019 was 7 hours 7 minutes and is an increase from last month; 7 hours 5 minutes for May 2019 and is an increase compared to the same period last year (June 2018 6 hours 56 minutes).

The crime codes which make up each crime category can be found in the Crime Codes Database.

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Security Classification: OFFICIAL-SENSITIVE

5. Crime

5

5.1 Victim based crime

5.1.1 Recorded crime counts – over time

5.1.2 Estimated seasonal risk

July is estimated to be a medium risk month for victim based crime, decreasing to medium low in August then low in September.

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Security Classification: OFFICIAL-SENSITIVE

5.1.3 Forecasting

5.1.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.1.5 Crimes per 1000 population – rolling 12 months

5.1.6 Repeat Victims

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Security Classification: OFFICIAL-SENSITIVE

5.2 Hate crime

5.2.1 Recorded crime counts – over time

5.2.2 Repeat victims

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Security Classification: OFFICIAL-SENSITIVE

5.2.3 Forecasting

5.2.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.2.5 Crimes per 1000 population – rolling 12 months

5.2.6 Motivations summary

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Security Classification: OFFICIAL-SENSITIVE

5.3 Domestic abuse

5.3.1 Recorded crime counts – over time

5.3.2 Estimated seasonal risk

July is estimated to be a medium high risk month for domestic abuse, decreasing to a medium low

risk in August then low risk in September.

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Security Classification: OFFICIAL-SENSITIVE

5.3.3 Repeat victims

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Security Classification: OFFICIAL-SENSITIVE

5.4 Violence against the person

5.4.1 Recorded crime counts – over time

5.4.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Violence Against The Person)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a medium high risk month for violence against the person, decreasing to low risk in August and then rising again to medium low in September.

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Security Classification: OFFICIAL-SENSITIVE

5.4.3 Forecasting

5.4.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.4.5 Crimes per 1000 population – rolling 12 months

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5.5 Stalking and harassment

5.5.1 Recorded crime counts – over time

5.5.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Stalking and Harrassment)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a medium risk month for stalking and harassment, decreasing to medium low in August then low in September.

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Security Classification: OFFICIAL-SENSITIVE

5.6 Sexual Offences

5.6.1 Recorded crime counts – over time

5.6.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Sexual Offences)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a high risk month for sexual offences, with the estimated risk decreasing to low in August and September.

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Security Classification: OFFICIAL-SENSITIVE

5.6.3 Forecasting

5.6.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.6.5 Crimes per 1000 population – rolling 12 months

5.6.6 Repeat victims

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5.7 Rape

5.7.1 Recorded crime counts – over time

5.7.2 Forecasting

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Security Classification: OFFICIAL-SENSITIVE

5.7.3 Percentage change: most recent 12 months compared to previous 12 months

5.7.4 Crimes per 1000 population – rolling 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.7.5 Repeat victims

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Security Classification: OFFICIAL-SENSITIVE

5.8 Burglary

5.8.1 Recorded crime counts – over time

#

5.8.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Burglary)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a medium risk month for burglary, decreasing to medium low risk for August and then medium in September.

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Security Classification: OFFICIAL-SENSITIVE

5.8.3 Forecasting

5.8.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.8.5 Crimes per 1000 population – rolling 12 months

5.8.6 Repeat victims

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Security Classification: OFFICIAL-SENSITIVE

5.9 Theft from the person

5.9.1 Recorded crime counts – over time

5.9.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Theft From The Person)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a medium risk month for theft from the person, with the risk decreasing to low in August and then rising again to medium low in September.

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Security Classification: OFFICIAL-SENSITIVE

5.9.3 Forecasting

5.9.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.9.5 Crimes per 1000 population – rolling 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.10 Robbery

5.10.1 Recorded crime counts – over time

5.10.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Robbery)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is expected to be a low risk month for robbery, followed by a medium risk in August and September.

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Security Classification: OFFICIAL-SENSITIVE

5.10.3 Forecasting

5.10.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.10.5 Crimes per 1000 population – rolling 12 months

5.10.6 Repeat victims

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Security Classification: OFFICIAL-SENSITIVE

5.11 Vehicle offences

5.11.1 Recorded crime counts – over time

5.11.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Vehicle Offences)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a low risk month for vehicle offences. The risk rises to medium low in August and September.

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Security Classification: OFFICIAL-SENSITIVE

5.11.3 Forecasting

5.11.4 Percentage change: most recent 12 months compared to previous 12 months

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5.11.5 Crimes per 1000 population – rolling 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.12 Other crimes against society

5.12.1 Recorded crime counts – over time

5.12.2 Estimated seasonal risk

Estimated Seasonal Risk for 2019/2020GMP

Crimes (Other Crimes Against Society)( Using Data from 01/04/2015 to 31/03/2018 )

APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Low Medium Low Medium Medium High High

July is estimated to be a high risk month for other crimes against society. This risk lowers to medium in August and then low in September.

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Security Classification: OFFICIAL-SENSITIVE

5.12.3 Forecasting

5.12.4 Percentage change: most recent 12 months compared to previous 12 months

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5.12.5 Crimes per 1000 population – rolling 12 months

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5.13 Possession of weapons offences

5.13.1 Recorded crime counts – over time

5.13.2 Forecasting

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Security Classification: OFFICIAL-SENSITIVE

5.13.3 Percentage change: most recent 12 months compared to previous 12 months

5.13.4 Crimes per 1000 population – rolling 12 months

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5.14 Drug offences

5.14.1 Recorded crime counts – over time

5.14.2 Forecasting

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5.14.3 Percentage change: most recent 12 months compared to previous 12 months

5.14.4 Crimes per 1000 population – rolling 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.15 Public order offences

5.15.1 Recorded crime counts – over time

5.15.2 Estimated seasonal risk

July is estimated to be a high risk month for public order offences. This risk decreases to medium high in August and then medium in September.

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Security Classification: OFFICIAL-SENSITIVE

5.15.3 Forecasting

5.15.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.15.5 Crimes per 1000 population – rolling 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.16 Miscellaneous crimes against society

5.16.1 Recorded crime counts – over time

5.16.2 Estimated seasonal risk

July is estimated to be a high risk month for miscellaneous crimes against society. The estimated risk decreases to low in August and rises to medium low in September.

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Security Classification: OFFICIAL-SENSITIVE

5.16.3 Forecasting

5.16.4 Percentage change: most recent 12 months compared to previous 12 months

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Security Classification: OFFICIAL-SENSITIVE

5.16.5 Crimes per 1000 population – rolling 12 months

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5.17 Alcohol-influenced crime

5.17.1 Recorded crime counts – over time

5.18 Drug-influenced crime

5.18.1 Recorded crime counts – over time

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5.19 Crimes involving knives and sharp instruments.

Between December 2017 and June 2019, 5,546 crimes involving a knife or sharp instrument were identified using the new methodology (developed as a result of the data quality evaluation conducted at the beginning of 2018). 3,403 of these crimes (61%) would have been identified using the three weapon fields (the old methodology) or the three instrument fields. In June 2019, 170 of the 229 (74%) knife and sharp instrument crimes would have been identified using the weapon and instrument fields, which suggests that completion of these fields is improving over time.

47% of the crimes involving a knife or sharp instrument recorded during this period (2,627) were robberies, and a further 26% (1,438) were assaults with intent to cause serious harm (Section 18 assaults).

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Security Classification: OFFICIAL-SENSITIVE

36% of these crimes (1,970) were recorded in the City of Manchester, with the remaining nine districts each accounting for between 5% and 9% of the Force total.

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Security Classification: OFFICIAL-SENSITIVE

5.20 Crime - Summary

In the twelve months to June 2019, GMP recorded 269,709 victim based crimes, representing a significant 2% decrease compared to the same period the previous year (275,756 crimes in June 2018). There was a 2% decrease in the six months to June 2019. GMP recorded 21,892 victim based crimes in June 2019, representing a 4% decrease compared to the previous month (22,840 crimes in May 2019).

The victim based crime rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded 1% decrease in victim based crime, compared to a 5% increase for GMP’s MSG and a 7% increase for England and Wales.

A total 25% of victim based crimes recorded in the twelve months to June 2019 were committed against repeat victims, compared to 24% in the same period the previous year. The number of repeat victims of victim based crime increased by 1% (from 25,362 in the 12 months to June 2018 to 25,675 in the 12 months to June 2019).

In the twelve months to June 2019, GMP recorded 97,841 violence against the person crimes, representing a 1% increase compared to the same period the previous year. The increase in violence against the person crimes in the last six months to June 2019 was not statistically significant. However, there was a 1% increase for a total number of 48,851 crimes. Violence against the person crimes decreased by 1% from 8,536 in May 2019 to 8,462 in June 2019.

The violence against the person crime rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 4% increase in violence against the person crime, compared to 21% for both GMP’s MSG and England and Wales.

The NCRS section shows that in April 2019 there was an increase of 0.1 percentage points in NCRS compliance for violence since March 2019, from 85.1% to 85.2%. The margins of error suggest this is not a significant change. There was a 1.8pp increase in NCRS compliance compared to April 2018 (83.4%) and the margins of error suggest this is not a significant change.

Stalking and harassment crimes represent a quarter of total violence against the person crimes (25%). In the twelve months to June 2019, GMP recorded 24,905 stalking and harassment crimes, representing a significant 17% increase compared to the same period the previous year. The increase in stalking and harassment crimes in the last six months to May 2019 (19% from 10,888 to 12,930 recorded crimes) was also statistically significant. Stalking and harassment crimes increased 4% from 2,168 in May 2019 to 2,255 in June 2019.

In the twelve months to May 2019, GMP recorded 7,402 robberies, an increase of 2% compared to the same period the previous year which was not statistically significant. The decrease in robbery in the last six months to June 2019 (6% from 3,790 to 3,544 recorded crimes) was also not statistically significant. Personal robberies decreased by 22% from 503 in May 2019 to 393 personal robberies in June 2019. Business robberies decreased by 17% from 83 in May 2019 to 69 in June 2019. GMP recorded 462 robberies in June 2019, which is a 21% decrease than the previous month’s total of 586.

A total 4% of robberies recorded in the twelve months to June 2019 were committed against repeat victims, compared to 4% in the same period the previous year. The number of repeat victims of robberies decreased by 10% (from 146 in the 12 months to June 2018 to 131 in the 12 months to June 2019).

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The robbery rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s MSG and also higher than that of England and Wales. In the twelve months to March 2019, GMP recorded a 9% increase in robbery, compared to 14% for GMP’s MSG and 11% for England and Wales.

There was a 10% increase in GMP’s theft from the person crimes in the last twelve months (from 6,817 in the twelve months to June 2018 to 7,504 in the twelve months to June 2019). This increase was not statistically significant. The 5% increase in theft from the person crimes in the last six months was not statistically significant, increasing from 3,471 to 3,629. Theft from the person crimes increased from 471 in May 2019 to 720 in June 2019, representing a 53% increase.

The theft from the person crime rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 10% increase in theft from the person crimes, compared to 7% for GMP’s MSG and 3% for England and Wales.

GMP recorded 8,911 hate crimes in the twelve months to June 2019, representing a 1% increase on the previous year’s number of 8,783. Over the course of the last six months, there was a 5% increase in hate crimes, from 4,319 to 4,531. Hate crimes decreased from 799 in May 2019 to 710 in June 2019.

The racially/religiously aggravated offences crime rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and higher than England and Wales. In the twelve months to March 2019, GMP recorded a 1% decrease in racially/religiously aggravated offences, compared to a 10% increase for GMP’s MSG and an 8% increase for England and Wales.

In the twelve months to June 2019, 20% of hate crimes and incidents were committed against repeat victims, an increase on 15% the previous year. The number of repeat victims of hate crimes increased by 33% (from 611 in the 12 months to June 2018 to 813 in the 12 months to June 2019).

GMP recorded 45,813 domestic abuse crimes in the twelve months to June 2019, which is an increase of 4% compared to the same period the previous year. There was 0% change in domestic abuse crimes in the six month period to June 2019, increasing from 22,329 to 22,433 domestic abuse crimes. Domestic abuse crimes increased from 3,688 in May 2019 to 3,818 in June 2019.

A total 44% of domestic abuse crimes recorded in the twelve months to June 2019 were committed against repeat victims, compared to 41% in the same period the previous year. The number of repeat victims of domestic abuse increased by 9% (from 6,804 to 7,402) during the same period.

GMP recorded 9,527 sexual offences in the twelve months to June 2019, representing 1% decrease compared to the same period the previous year (9,639). Similarly, the 4,829 sexual offences recorded in the six month period to June 2019 represented 1% decrease from the 4,864 sexual offences recorded in the same period the previous year. GMP recorded 836 sexual offences in June 2019, which is no change compared to the previous month’s 840 sexual offences. In the twelve months to June 2019, 23% of sexual offences were committed against repeat victims, compared to 23% the previous year. The number of sexual offence repeat victims decreased by 4% from 798 to 766. Rape currently accounts for 40% of sexual offences.

The sexual offences rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 1% increase in sexual offences, compared to 6% for GMP’s MSG and 7% for England and Wales.

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Security Classification: OFFICIAL-SENSITIVE

The NCRS section shows that in May 2019 there was a 2.1pp decrease in NCRS compliance for sexual offences since April, from 89.4% to 87.3%. The margins of error suggest this is not a significant change.

GMP recorded 3,784 rapes in the twelve months to June 2019, which represents a 1% increase compared to the same period the previous year (3,764 rape offences); however the increase was not significant. There were 299 rapes recorded in June 2019, representing a 14% decrease compared to the previous month’s 347. In the twelve months to June 2019, 30% of rapes were committed against repeat victims, compared to 29% the previous year. The number of rape repeat victims also increased by 6% from 355 to 375.

The NCRS section shows that in May 2019 there was a 7.7pp decrease in NCRS compliance for rapes since April, from 89.4% to 81.7%. The margins of error suggest this is a significant change.

GMP recorded 31,584 vehicle offences in the twelve months to June 2019, which represents a 0% change compared to the same period the previous year (31,487). There was 0% change in the six months to June 2019 (from 15,629 to 15,553). GMP recorded 2,339 vehicle offences in June 2019, which was a 10% decrease compared to the previous month’s 2,591 vehicle offences. Vehicle offences account for over a quarter of all theft offences.

The vehicle offences rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 4% increase in vehicle offences, compared to a 2% decrease for GMP’s MSG and a 2% increase for England and Wales.

GMP recorded 29,091 burglaries in the twelve months to June 2019, which is 7% lower than the same period the previous year (31,244) and statistically significant. The number of burglaries decreased by 7% in the six months to June 2019 (13,869) compared to the same period the previous year (14,929). GMP recorded 2,055 burglaries in June 2019, which represents a 7% decrease compared to the previous month (2,217 burglaries in May 2019). Burglary currently accounts for nearly a quarter of all theft offences.

In the twelve months to May 2019, 6% of burglaries were committed against repeat victims, with the percentage remaining unchanged from the previous year. The number of burglary repeat victims decreased by 14% from 920 to 789.

With regards to other crimes against society, GMP recorded 58,594 crimes in the twelve months to June 2019, representing a significant 12% decrease compared to 66,911 in the same period the previous year. The number of other crimes against society decreased by 10% in the six months to June 2019 from 32,070 to 28,934 which was also statistically significant.

The other crimes against society rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded an 8% decrease in other crimes against society offences, compared to a 12% increase for GMP’s MSG and a 15% increase for England and Wales.

There was a significant 24% increase in possession of weapon offences in the last twelve months, increasing from 3,205 in the same period the previous year to 3,966 in the twelve months to June 2019. There was also a 24% increase in possession of weapon offences in the six months to June 2019, increasing from 1,746 to 2,162. However, this increase was not significant. GMP recorded 322 possession of weapon offences in June 2019, a 10% decrease from the previous month’s 359 crimes.

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The possession of weapon offences rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 33% increase in possession of weapon offences, compared to 30% for GMP’s MSG and 18% for England and Wales.

GMP recorded 40,690 public order offences in the twelve months to June 2019, which represents a statistically significant 20% decrease compared to the same period the previous year (50,703). The number of public order offences decreased significantly by 19% in the six months to June 2019, from 23,716 to 19,299. GMP recorded 3,313 public order offences in June 2019, a 4% decrease compared to the previous month’s number of 3,451. Public order offences account for almost three-quarters of all other crimes against society.

The public order offences rate (crimes per 1,000 population) is higher in Greater Manchester compared to GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 14% decrease in public order offences, compared to a 9% increase for GMP’s MSG and 17% increase for England and Wales.

There was a statistically significant increase in the number of recorded alcohol-influenced crimes (21%, from 25,464 crimes to 30,937 crimes in the twelve months to June 2019) and drug-influenced crimes (33%, from 7,829 to 10,386 crimes) in the twelve months to June 2019 compared to the same period the previous year. There was also an 11% increase in the number of alcohol-influenced crimes (from 13,708 to 15,190 crimes) in the six months to June 2019 along with a 20% significant increase in the number of drug-influenced crimes (from 4,425 to 5,294 crimes). July 2018’s number of 3,136 remains the month with the highest number of alcohol-influenced crimes in over a year. July 2018 also remains the month with the highest number of drug-influenced crimes (1,087). We would assume that both numbers are a consequence of both the hot weather and the FIFA World Cup. The number of alcohol-influenced crimes in June 2019 (2,501) represented a 4% decrease compared to the number recorded in May 2019 (2,594). The number of drug-influenced crimes in June 2019 (911) represented a 7% decrease compared to the number recorded in May 2019 (981).

The drug offences rate (crimes per 1,000 populations) in Greater Manchester is lower than GMP’s Most Similar Group (MSG) of forces and also lower than England and Wales. In the twelve months to March 2019, GMP recorded a 13% increase in drug offences, compared to 18% for GMP’s MSG, and 11% for England and Wales.

GMP recorded 7,859 miscellaneous crimes against society in the twelve months to June 2019, representing 3% decrease compared to the previous year’s number of 8,136. The number of miscellaneous crimes against society in the six months to June 2019 decreased by 6% from 4,195 to 3,955. Between May 2019 and June 2019, miscellaneous crimes against society decreased by 7% from 706 to 657.

The miscellaneous crimes against society rate (crimes per 1,000 population) is higher in Greater Manchester than GMP’s Most Similar Group (MSG) of forces and also higher than England and Wales. In the twelve months to March 2019, GMP recorded a 5% increase in miscellaneous crimes against society, compared to 10% for GMP’s MSG and 11% for England and Wales.

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Security Classification: OFFICIAL-SENSITIVE

6. Investigation

6

6.1 Open crimes

There were 26,878 open crimes at the end of June 2019. This is a 1% increase compared to the end of May 2019.

June 2019 May 2019 Change % changeOpen crimes at month end 26,878 26,678 200 1%Crime in 12 months 328,441 331,036 -2595 -0.78%Open crime as % of crime in 12 months 8% 8%

There has been a 13% increase in open crimes compared to June 2018. There has been a 4% decrease in total recorded crime in the same period (12 months).

33% of the crimes which were open at the end of June 2019 had been open longer than 3 months.14% were open less than a week.

Total open crimes 26,878Victim based crime 20,063Violence against the person 9,264Sexual offences 3,607Rape 1,800Burglary 1,687Robbery 924Domestic abuse 4,569

The number of open crimes for robbery at the end of June 2019 has decreased by 8% (-76) compared to the end of May 2019, and decreased by 0.2% (-2) compared to June 2018; this compares with a non-significant increase of 2% (127) in recorded crime in the rolling 12 months to June 2019.

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Domestic abuse open crimes have increased by 1% (24) compared to last month. There has been a 10% (422) increase compared to June 2018; this compares with a non-significant increase of 4% (1,809) in recorded crime in the 12 months to June 2019.

The number of open crimes for rape compared to last month has decreased by 0.1% (-2). There has been a 7% (119) increase compared to June 2018. Recorded rape crime has increased (no significant change) by 1% (20) in the 12 months to June 2019.Open hate crimes compared to last month have decreased by 2% (-17). There has been an 8% (63) increase compared to June 2018. Recorded hate crime has increased (no significant change) by 1% (128) in the 12 months to June 2019.

Of the 26,878 open crimes, 5,632 have a vulnerable victim, 5,236 are 'HOT' crimes, 2,591 have special measures, and 2,613 have an intimidated victim.

6.2 Named suspects

6.1.1 Wanted suspects

At the end of June 2019, there were 789 wanted suspects. There were 3 fewer than at the end of May 2019, and 102 fewer than June 2018. 66% have been wanted for more than 3 months.

Total wanted suspects 78990 days or more 520 66%28-89 days 106 13%7-27 days 104 13%Less than 7 days 59 7%

21% of wanted suspects relate to violent crime; 10% are for rape.

Crime type Suspects %Violence against the person 164 21%Rape 79 10%Other sexual offences 55 7%Robbery 30 4%Domestic abuse 148 19%

Hate crime 6 1%Total wanted suspects 789

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6.1.2 Locate trace suspects

At the end of June 2019, there were 2,201 locate trace suspects. There were 20 fewer than at the end of May 2019, and 265 more than June 2018. 15% have been locate trace for more than 3 months.

Total locate trace suspects 2,20190 days or more 324 15%28-89 days 734 33%7-27 days 685 31%Less than 7 days 458 21%

27% of locate trace suspects relate to violence against the person and 5% for rape.

Crime type Suspects %Violence against the person 620 28%Rape 109 5%Other sexual offences 141 6%Robbery 51 2%Domestic abuse 433 20%

Hate crime 84 4%Total locate trace suspects 2,201

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6.1.3 Decision pending suspects

At the end of June 2019, there were 8,559 decision pending suspects. There were 156 more than at the end of May 2019, and 1471 more than June 2018. 41% have been decision pending for more than 3 months.

Total decision pending suspects 8,55990 days or more 3,532 41%28-89 days 2,234 26%7-27 days 1,180 14%Less than 7 days 1,613 19%

26% of decision pending suspects relate to violence against the person and 8% for rape.

Crime type Suspects %Violence against the person 2,225 26%Rape 675 8%Other sexual offences 711 8%Robbery 295 3%Domestic abuse 1,462 17%

Hate crime 174 2%Total decision pending suspects 8,559

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6.3 Voluntary attendance

There were 6,832 voluntary attendances in the 12 months to June 2019, which is 15% lower than that recorded in the 12 months to June 2018 (8,011).

GMP recorded an average of 21 voluntary attendances for every 1,000 crimes in the 12 months to June 2019, which is 4 lower than in the 12 months to June 2018.

6.4 Arrests

There were 39,848 arrests in the 12 months to June 2019, which is 5% higher than that recorded in the 12 months to June 2018 (37,776).

GMP recorded an average of 121 arrests for every 1,000 crimes in the 12 months to June 2019, which is 6 higher than in the 12 months to June 2018.

When arrests and voluntary attendance are combined, there has been a 2% increase in the 12 months to June 2019 compared to the previous 12 months, which is alongside a 4% reduction in total crime.

6.5 Police bails

There were 941 open police bails in June 2019, 298 (32%) of which were overdue. Last month the percentage was 31%.

6.6 Under investigation

At a snapshot taken on 01 July 2019, 23,039 under investigations have been granted since being introduced on 3 April 2017. 28% of these (6,528) are currently open. This is an increase of 291 compared to the end of May 2019 when 6,237 were still open.

End of June 2019 End of May 2019Total UIs granted since April 2017 23,039 22,043Open UI records 6,528 6,237

Since April 2017, 23,039 under investigation statuses have been granted. The table below shows the breakdown by crime type, and the proportion released under investigation. The sum of the individual crime types is not the total UIs granted, due to some individuals being under investigation for multiple offences.

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Offence categoryNumber

released under investigation

% Number closed % Total number

Burglary 542 25% 1,597 75% 2,139Criminal damage 313 19% 1,335 81% 1,648Drugs 1,954 36% 3,497 64% 5,451Fraud 403 50% 399 50% 802Miscellaneous 327 29% 808 71% 1,135Other sexual offences 564 38% 922 62% 1,486Possession of weapons 417 28% 1,083 72% 1,500Rape 449 29% 1,078 71% 1,527Robbery 341 25% 1,003 75% 1,344Theft offences 925 26% 2,577 74% 3,502Traffic offences 512 26% 1,468 74% 1,980Trafficking 13 34% 25 66% 38Vehicle 120 20% 489 80% 609Violence against the person 1,768 22% 6,403 78% 8,171Total 6,528 28.3% 16,511 71.7% 23,039

6.7 Crime screening

Overall, 58% of crimes recorded in June 2019 were screened in for secondary investigation:

Crime type % screened inAll Crime 58%Violence against the person 77%Rape 99%Robbery 83%Burglary 62%Domestic abuse 93%Hate crime 92%

To further understand the screened out crimes, outcomes were also considered.

In June 2019 there were 26,859 recorded crimes.

11,370 crimes were screened out for secondary investigation (42.3%). 32.5% have been closed with investigation complete no suspect identified and screened out

(8,731); this accounts for 76.8% of all the screened out crimes. 3.1% were solved and screened out 833), this accounts for 7.3% of all screened out crimes. 4.6% were victim will not support the investigation and screened out (1,242); this accounts

for 10.9% of all screened out crimes. 1.2% were not in the public interest and screened out (311); this accounts for 2.7% of

screened out crimes.

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Security Classification: OFFICIAL-SENSITIVE

Proportion of total recorded

crime

Proportion of total screened

out crime

Number screened out

Outcomes 1-8 (solved) 3.1% 7.3% 833Outcomes 14 & 16 (victim declines) 4.6% 10.9% 1,242Outcomes 9 & 21 (not in public interest) 1.2% 2.7% 311Outcome 18 (investigation complete no suspect) 32.5% 76.8% 8,731

Total screened out 42.3% 11,370

Crimes are considered screened in if the current investigating officer PIN is not blank. This is used as a proxy measure for the number of crimes screened out for secondary investigation. Crimes where the current investigating officer PIN field is blank were not necessarily screened out e.g. this field may be blank where the crime was solved during the primary investigation and secondary investigation was not needed.

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6.8 Investigation – Ssummary

There were 26,878 open crimes at the end of June 2019. This is a 1% increase compared to the end of May 2019.

At the end of June 2019, there were 789 wanted suspects, 2,201 locate trace suspects and 8,559 decision pending suspects.

There has been a 2% increase in arrests and voluntary attendances, 32% of open police bails are overdue. 28% of under investigation statuses are open.

58% of crimes recorded in June 2019 were screened in for secondary investigation.

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Security Classification: OFFICIAL-SENSITIVE

7. Outcomes

7

7.1 Outcomes – Introduction

Data have been drawn from GMP Monthly Performance Bulletins and iQuanta April 2019 (Outcomes Ratio Data to April 19 OFFICIAL SENSITIVE.xlsx). iQuanta data is provisional and subject to change due to, amongst other things, issues with police force submissions. In addition, there may be some small differences in totals due to the different dates that data have been extracted. GMP and iQuanta outcome data have been calculated based on the outcome date, which is the date the outcome was finalised.

Outcomes are grouped under the charge/summons and solved categories. Solved includes the eight outcome types: charge; summons; adult and youth cautions; penalty notices for disorder (PND); cannabis warnings and khat warnings; taken into consideration (TIC); offender is deceased; and restorative justice (RJ).

Totals are given as rolling twelve month periods (twelve month moving averages) as this dampens periods of volatility and seasonality effects.

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7.2 Victim based crime

Over the last five years, there has been a steady decline in the number of victim based crimes solved. The number of victim based crimes solved in twelve months has decreased from 37,865 in June 2015 to 21,092 in June 2019. There has been a decrease of around 14% year-on-year over the last three years and a decrease of 44% over the five-year period.

The number of victim based crimes recorded has risen over the same period. Although there has been a 2% decrease in the twelve months to June 2019 compared to the previous period, there has been a total increase of 43% over the five-year period. Whilst theoretically there should have been more opportunities to solve crime, there has been a decline in the number of crimes solved. This is reflected in the VBC solved ratio, which has reduced from 20% in June 2015 to 8% in June 2019. In line with this, the VBC charge/summons ratio has fallen from 13% in June 2015 to 5% in June 2019.

5 year periodValue Change Value Change Value Change Value Change Value Change Change

Crime 188,315 - 201,080 7% 249,634 24% 275,756 10% 269,709 -2% 43%Solved (Outcomes 1-8) 37,895 - 31,187 -18% 27,199 -13% 22,661 -17% 21,092 -7% -44%Solved Ratio (Outcomes 1-8) 20% - 16% -5%pts 11% -5%pts 8% -3%pts 8% 0%pts -12%ptsCharge/Summons 24,503 - 19,430 -21% 15,621 -20% 12,823 -18% 12,579 -2% -49%Charge/Summons Ratio 13% - 10% -3%pts 6% -3%pts 5% -2%pts 5% 0%pts -8%pts

Victim based crime (R12 months)

Jun-2015 Jun-2016 Jun-2017 Jun-2018 Jun-2019

Using data extrapolated from iQuanta, the VBC solved ratio for England and Wales is 10.2% and the charge/summons ratio is 7.3% for the twelve months to April 2019.

iQuanta, Forcesight and other national products do not have the solved category as a standard outcome category as outcome 5 the offender has died is usually included in the category Prosecution prevented or not in the public interest. However, iQuanta allows the user to create their own categories. The GMP solved category has been replicated in the user-defined aggregate iQuanta Most Similar Group (MSG) charts.

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1 South Wales 16.30%2 Northumbria 13.61%3 Cleveland 11.96%4 South Yorkshire 10.38%5 Merseyside 10.33%6 West Midlands 9.64%7 West Yorkshire 8.55%8 Greater Manchester 7.62%

MSG Average 11.05%

iQuanta Bar Chart MSG (12 months) - User-defined aggregate per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Victim-based crime

0.0%

2.0%

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OFFICIAL SENSITIV E - Provisional data before it is finalised and published by the Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is the lowest ranked in its MSG for the VBC solved ratio. The MSG average is 11.05%, which is higher than the VBC solved ratio for England and Wales (10.2%).

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1 South Wales 12.20%2 Cleveland 10.60%3 Northumbria 9.92%4 Merseyside 8.36%5 South Yorkshire 7.82%6 West Midlands 7.36%7 West Yorkshire 6.38%8 Greater Manchester 5.47%

MSG Average 8.51%

iQuanta Bar Chart MSG (12 months) - Charged summonsed per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Victim-based crime

0.0%

2.0%

4.0%

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OFFICIAL SENSITIV E - Provisional data before it is finalised and published by the Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Similarly, Greater Manchester is the lowest ranked in its MSG for the VBC charge/summons ratio. The MSG average is 8.51%, which is higher than the VBC charge/summons ratio for England and Wales (7.3%).

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7.3 Other crimes against society

5 year periodValue Change Value Change Value Change Value Change Value Change Change

Crime 21,344 - 24,034 13% 44,803 86% 66,911 49% 58,594 -12% 175%Solved (Outcomes 1-8) 11,722 - 9,592 -18% 9,149 -5% 8,785 -4% 9,769 11% -17%Solved Ratio (Outcomes 1-8) 55% - 40% -15%pts 20% -19%pts 13% -7%pts 17% 4%pts -38%ptsCharge/Summons 7,204 - 5,809 -19% 5,139 -12% 4,912 -4% 5,567 13% -23%Charge/Summons Ratio 34% - 24% -10%pts 11% -13%pts 7% -4%pts 10% 2%pts -24%pts

Other crimes against society (R12 months)

Jun-2019Jun-2015 Jun-2016 Jun-2017 Jun-2018

Although other crimes against society (OCAS) has seen a much higher percentage increase than VBC, the percentage decrease in crimes solved is lower. The number of OCAS crimes recorded has increased by 175% and the number solved has decreased by 17% over the five-year period, compared to a 43% increase and 44% decrease for VBC respectively.

7.4 Rape

There has been a decline in the number of rape crimes solved over the last three years. The number of rapes solved has decreased from 379 in the twelve months to June 2016 to 253 up to June 2019. There was a decrease of 12% to June 2017 then further decreases of 19% to June 2018 and 7% to June 2019. The number of rape crimes has risen over the same period, with an increase of 1% in the twelve months to June 2019 compared to the previous period and a total increase of 106% over the five-year period. The change in rape recording practice (one crime per offender rather than one crime per incident) and greater scrutiny around rape incidents and cancellation of crimes is likely to have contributed to the sharp increase after April 2017. Further measures to improve crime standards are also likely to contribute to this trend.

These changes in recorded crime and solved crimes are reflected in the rape solved ratio, which has reduced from 19% in June 2015 to 7% in June 2019. The rape charge/summons ratio has also fallen from 18% in June 2015 to 5% in June 2019.

5 year periodValue Change Value Change Value Change Value Change Value Change Change

Crime 1,834 - 2,009 10% 2,561 27% 3,764 47% 3,784 1% 106%Solved (Outcomes 1-8) 351 - 379 8% 335 -12% 272 -19% 253 -7% -28%Solved Ratio (Outcomes 1-8) 19% - 19% 0%pts 13% -6%pts 7% -6%pts 7% -1%pts -12%ptsCharge/Summons 325 - 342 5% 264 -23% 200 -24% 182 -9% -44%Charge/Summons Ratio 18% - 17% -1%pts 10% -7%pts 5% -5%pts 5% -1%pts -13%pts

Rape (R12 months) Jun-2019Jun-2015 Jun-2016 Jun-2017 Jun-2018

Using data extrapolated from iQuanta, the rape solved ratio for England and Wales is approximately 4.9% and the charge/summons ratio is 4.5% for the twelve months to April 2019.

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1 Merseyside 7.27%2 South Wales 7.17%3 Northumbria 7.15%4 South Yorkshire 6.98%5 Greater Manchester 6.17%6 West Yorkshire 5.65%7 Cleveland 5.50%8 West Midlands 3.42%

MSG Average 6.16%

iQuanta Bar Chart MSG (12 months) - User-defined aggregate per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Rape

0.0%

1.0%

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sOFFICIAL SENSITIV E - Provisional data before it is finalised and published by the

Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is ranked 5th out of 8 in its MSG for the rape solved ratio. GMP’s rape solved ratio (6.17%) is slightly higher than England and Wales (4.9%) and similar to the MSG average of 6.16%.

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1 South Wales 6.91%2 Northumbria 6.85%3 South Yorkshire 6.75%4 Merseyside 5.67%5 West Yorkshire 5.47%6 Cleveland 5.34%7 Greater Manchester 4.94%8 West Midlands 3.13%

MSG Average 5.64%

iQuanta Bar Chart MSG (12 months) - Charged summonsed per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Rape

0.0%

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sOFFICIAL SENSITIV E - Provisional data before it is finalised and published by the

Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is ranked 7th out of 8 in its MSG for the rape charge/summons ratio and is slightly above the ratio for England and Wales (4.5%). The MSG average is 5.64%, which is slightly higher than the rape charge/summons ratio for England and Wales.

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7.5 Robbery

There has been an increase in the number of robbery crimes solved over the last three years, with a 16% increase in the twelve months to June 2017, a 10% increase up to June 2018 then a further 12% increase in the twelve months to June 2019. The number solved has increased by 27% over the five-year period. There was steep increase in the number of robberies recorded in the twelve months to June 2017 (53%), and a further 35% increase in the twelve months to June 2018. There was a smaller increase of 2% in the twelve months to June 2019. Overall, the number of robberies has increased by 112% over the five-year period.

The combination of a steep increase in recorded crimes and comparatively small variation in solved crimes has negatively affected the robbery solved ratio. This has reduced from 17% in June 2015 to 10% in June 2019. The robbery charge/summons ratio has also fallen from 16% in June 2015 to 8% in June 2019.

5 year periodValue Change Value Change Value Change Value Change Value Change Change

Crime 3,492 - 3,527 1% 5,401 53% 7,275 35% 7,402 2% 112%Solved (Outcomes 1-8) 577 - 508 -12% 591 16% 649 10% 730 12% 27%Solved Ratio (Outcomes 1-8) 17% - 14% -2%pts 11% -3%pts 9% -2%pts 10% 1%pts -7%ptsCharge/Summons 558 - 473 -15% 493 4% 505 2% 560 11% 0%Charge/Summons Ratio 16% - 13% -3%pts 9% -4%pts 7% -2%pts 8% 1%pts -8%pts

Robbery (R12 months) Jun-2018 Jun-2019Jun-2015 Jun-2016 Jun-2017

Using data extrapolated from iQuanta, the robbery solved ratio for England and Wales is approximately 9.5% and the charge/summons ratio is 9.1% for the twelve months to April 2019.

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Security Classification: OFFICIAL-SENSITIVE

1 South Wales 23.11%2 Cleveland 20.24%3 Northumbria 20.20%4 South Yorkshire 14.76%5 Merseyside 12.88%6 West Yorkshire 10.20%7 West Midlands 9.52%8 Greater Manchester 9.11%

MSG Average 15.00%

iQuanta Bar Chart MSG (12 months) - User-defined aggregate per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Robbery

0.0%

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OFFICIAL SENSITIV E - Provisional data before it is finalised and published by the Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is ranked 8th of 8 in its MSG for the robbery solved ratio and has a similar ratio to England and Wales (9.5%). The MSG average is 15.00%, which is higher than the robbery solved ratio for England and Wales.

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Security Classification: OFFICIAL-SENSITIVE

1 South Wales 22.74%2 Northumbria 19.82%3 Cleveland 19.56%4 South Yorkshire 14.29%5 Merseyside 12.60%6 West Yorkshire 9.85%7 West Midlands 9.26%8 Greater Manchester 8.48%

MSG Average 14.57%

iQuanta Bar Chart MSG (12 months) - Charged summonsed per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Robbery

0.0%

5.0%

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OFFICIAL SENSITIV E - Provisional data before it is finalised and published by the Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is ranked 8th of 8 in its MSG for the robbery charge/summons ratio and has a lower ratio than England and Wales (9.1%). The MSG average is 14.57%, which is higher than the robbery charge/summons ratio for England and Wales.

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Security Classification: OFFICIAL-SENSITIVE

7.6 Domestic abuse

There has been a steady decrease in the number of domestic abuse crimes solved over the last four years, and an overall reduction of 40% over the five-year period. There was a steep increase in the number of domestic abuse crimes recorded in the twelve months to June 2017 (55%), and a further 55% increase in the twelve months to June 2018. There was a smaller increase of 4% in the twelve months to June 2019. Overall, the number of domestic abuse crimes has increased by 134% over the five-year period.

The steep increase in recorded crime has negatively affected the domestic abuse solved ratio. This has reduced from 49% in June 2015 to 13% in June 2019. The domestic abuse charge/summons ratio has also fallen from 39% in June 2015 to 8% in June 2019.

5 year periodValue Change Value Change Value Change Value Change Value Change Change

Crime 19,595 - 18,366 -6% 28,393 55% 44,004 55% 45,813 4% 134%Solved (Outcomes 1-8) 9,670 - 7,698 -20% 7,392 -4% 6,950 -6% 5,781 -17% -40%Solved Ratio (Outcomes 1-8) 49% - 42% -7%pts 26% -16%pts 16% -10%pts 13% -3%pts -37%ptsCharge/Summons 7,728 - 6,216 -20% 5,050 -19% 4,648 -8% 3,866 -17% -50%Charge/Summons Ratio 39% - 34% -6%pts 18% -16%pts 11% -7%pts 8% -2%pts -31%pts

Jun-2019Domestic abuse (R12 months) Jun-2015 Jun-2016 Jun-2017 Jun-2018

National and MSG comparisons are limited as the datasets submitted by police forces are not fully compatible and not always complete.

Data published in the ONS Statistical bulletin Domestic abuse in England and Wales: year ending April 2017 suggests that the England and Wales solved ratio for domestic abuse was around 23% and the charge/summons ratio was around 18%. At that time GMP had a solved ratio for domestic abuse of 30% and a charge/summons ratio of 25%. However, the GMP ratios have fallen since then to a domestic abuse solved ratio of 13% and a charge/summons ratio of 8% in the twelve months to June 2019.

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7.7 Hate crime

There was a steady decrease in the number of hate crimes solved between June 2015 and April 2017. This trend then reversed with a 19% increase in hate crimes solved in the twelve months to June 2017 and a further 29% increase in the twelve months to June 2018 and has subsequently fallen again with a 28% decrease in the twelve months to June 2019. Overall, solved hate crime has decreased by 13% over the five-year period.

There has been a steady increase in the number of hate crimes recorded during this period with a sharp increase between May 2017 and July 2018, although there has been a reduction since then. The majority of the rise occurred between May 2017 and July 2017. The Manchester Arena bombing in May 2017 is a substantial element of the sharp rise in hate crime recording and hate crime solved outcomes. There was a 51% increase in recorded hate crime in the twelve months to June 2017, and a further 18% increase in the twelve months to June 2018. There was a smaller increase of 1% in the twelve months to June 2019. Overall, recorded hate crime has increased by 103% over the five-year period.

The increase in solved crimes in the period from June 2016 to June 2018 can be explained by almost 900 crimes with outcome 5 Offender has died, which relate to crime outcomes arising from the bombing. The subsequent dip in hate crime is due to the May and June 2017 spikes no longer falling within the current rolling twelve month period.

The steep increase in recorded crime has negatively affected the hate crime solved ratio. This has reduced from 31% in June 2015 to 13% in June 2019. The hate crime charge/summons ratio has also fallen from 19% in June 2015 to 6% in June 2019.

5 year periodValue Change Value Change Value Change Value Change Value Change Change

Crime 4,391 - 4,899 12% 7,418 51% 8,783 18% 8,911 1% 103%Solved (Outcomes 1-8) 1,340 - 1,062 -21% 1,261 19% 1,627 29% 1,164 -28% -13%Solved Ratio (Outcomes 1-8) 31% - 22% -9%pts 17% -5%pts 19% 2%pts 13% -5%pts -17%ptsCharge/Summons 846 - 617 -27% 502 -19% 447 -11% 518 16% -39%Charge/Summons Ratio 19% - 13% -7%pts 7% -6%pts 5% -2%pts 6% 1%pts -13%pts

Hate crime (R12 months) Jun-2019Jun-2015 Jun-2016 Jun-2017 Jun-2018

Currently there are no national comparisons for hate crime on iQuanta or Forcesight. The nearest proxy that can be used is racially or religiously aggravated crimes. This grouping includes a proportion of race and religion hate crime but excludes disability, sexual orientation, transgender and, for GMP, alternative subculture hate crimes.

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1 South Wales 26.74%2 Northumbria 19.16%3 South Yorkshire 17.43%4 Merseyside 17.42%5 West Midlands 15.96%6 Cleveland 15.96%7 Greater Manchester 14.54%8 West Yorkshire 11.99%

MSG Average 17.40%

iQuanta Bar Chart MSG (12 months) - User-defined aggregate per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Racially / religiously agg. offences

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5.0%

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15.0%

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Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is ranked 7th of 8 in its MSG for the RRA solved ratio and has a lower ratio than England and Wales (16.5%). The MSG average is 17.40%, which is marginally higher than the RRA solved ratio for England and Wales. This has been affected by the solved outcomes resulting from the Manchester Arena bombing.

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1 South Wales 17.73%2 Merseyside 14.65%3 Northumbria 14.55%4 West Midlands 14.39%5 Cleveland 13.90%6 South Yorkshire 12.59%7 West Yorkshire 10.38%8 Greater Manchester 7.97%

MSG Average 13.27%

iQuanta Bar Chart MSG (12 months) - Charged summonsed per Crime

Rank Outcomes / CrimeForce

Greater Manchester

01 May 2018 - 30 Apr 2019Racially / religiously agg. offences

0.0%

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OFFICIAL SENSITIV E - Provisional data before it is finalised and published by the Office for National Statistics and the Home Office

MSG Average Lower Bound Upper Bound

Greater Manchester is the lowest ranked force in its MSG for the RRA charge/summons ratio and has a lower ratio than England and Wales (13.2%). The MSG average is 13.27%, which is similar to the RRA charge/summons ratio for England and Wales. This has not been affected by the Manchester Arena bombing as the majority of solved outcomes were outcome 5 Offender has died and not charge or summons.

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7.8 Contrasting Charged and Solved Rates for Harm and Acquisitive crimes

R12 Charged Rates R12 Solved RatesHarm Mar-18 Mar-19 Difference Mar-18 Mar-19 DifferenceDomestic Abuse 11.2% 8.2% -3.0% 11.2% 8.2% -3.0%Rape 5.9% 3.7% -2.2% 8.3% 6.4% -1.9%Sexual Offences 7.3% 5.8% -1.5% 11.2% 9.7% -1.5%VAP 6.4% 5.3% -1.1% 13.6% 11.1% -2.5%Hate Crime 4.4% 4.8% 0.4% 19.6% 12.9% -6.7%Acquisitive Mar-18 Mar-19 Difference Mar-18 Mar-19 DifferenceRobbery 5.7% 6.6% 0.9% 8.3% 10.1% 1.8%Burglary 3.3% 3.4% 0.1% 5.0% 6.0% 1.0%Residential Burglary 2.1% 2.6% 0.5% 3.3% 4.9% 1.6%Theft 2.9% 2.8% -0.1% 5.1% 6.0% 0.9%Vehicle Offences 1.7% 1.6% -0.1% 2.8% 2.6% -0.2%Shoplifting 8.7% 8.5% -0.2% 16.1% 14.8% -1.3%Possession of Weapons 16.3% 16.1% -0.2% 25.7% 27.0% 1.3%

(N.B. Domestic abuse and hate crimes may be included in both sections as any crime type can have these flags applied)

Charge rates for acquisitive crime are relatively unchanged over the past twelve months. By contrast there has been a decrease in charged rates for harm crimes, notably domestic abuse down 3pp from 11.2% in the twelve months to March 2018 to 8.2% in March 2019.

For acquisitive crime solved rates, there have been small decreases for vehicle offences and shoplifting but small increases for robbery, burglary, residential burglary, theft and possession of weapons. Solved rates for harm crimes are also down over the same period, notably hate crime down 6.7pp from 19.6% in the twelve months to March 2018 to 12.9% in March 2019.

As outlined above, the decrease in the hate crime solved rate is mainly due to a drop in the number of ‘offender has died’ outcomes from 805 in the twelve months to March 2018 to 149 in March 2019. An action was raised at the March Force Performance meeting for Inspector Roger Pegram to support Chief Inspector Zaman and Chief Superintendent Savill in exploring evidence of correlation/causation around solvability factors for hate crime, in order to improve crime outcomes.

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7.9 Outcomes – Ssummary

Over the last five years, there has been a decrease of 44% in the number of victim based crimes (VBC) that are solved. There has been an increase in victim based crimes recorded over the same period, with a total increase of 43% over the five-year period. While theoretically there should have been more opportunities to solve crime, there has been a decline in the number of crimes solved. This is reflected in the VBC solved ratio, which has reduced from 20% in June 2015 to 8% in June 2019, and the VBC charge/summons ratio, which has fallen from 13% to 5%. The VBC solved ratio for England and Wales is 10.2% and the charge/summons ratio is 7.3% for the twelve months to April 2019. During this period, Greater Manchester was ranked lowest in its Most Similar Group (MSG) for: VBC solved ratio; VBC charge/summons ratio; robbery solved ratio; robbery charge/summons ratio; and racially or religiously aggravated (RRA) offences charge/summons ratio. GMP is lower than the MSG average in all of the categories measured, with the exception of the rape solved ratio. Greater Manchester is ranked 5th out of 8 in its MSG for the rape solved ratio. The rape solved ratio (6.17%) is slightly higher than the rape solved ratio for England and Wales (4.9%) and similar to the MSG average of 6.16%. Greater Manchester is ranked 7th of 8 in its MSG for the RRA solved ratio (14.54%) and has a lower ratio than England and Wales (16.5%). The MSG average (17.40%) is marginally higher than the RRA solved ratio for England and Wales. This has been affected by the solved outcomes resulting from the Manchester Arena bombing.

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8. Crime standards and satisfaction

8

8.1 Victim satisfaction

8.1.1 Whole experience

8.1.2 Ease

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8.1.3 Time to arrive

8.1.4 Actions

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8.1.5 Follow up

8.1.6 Treatment

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8.1.7 Drivers of satisfaction: the police undertook the actions the victim expected them to

8.1.8 Drivers of satisfaction: the police made the victim feel reassured

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8.1.9 Drivers of satisfaction: the police took the matter seriously

8.1.10 Drivers of satisfaction

The table above demonstrates the impact of the drivers on satisfaction with the whole experience. In the twelve months to the end of June 2019, 822 victims agreed with none of the drivers of satisfaction and, of those, 30 were satisfied with the whole experience (3.6%). 3,550 victims agreed with all three drivers of satisfaction and, of those, 3,329 were satisfied with the whole experience (93.8%).

During this period, 3,550 victims (59.5%) agreed with all three drivers of satisfaction.

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8.1.11 Victim satisfaction – Summary

All data refer to victims of burglary, violent crime, vehicle crime and hate crime and incidents unless otherwise stated. Data should be used with caution where the margin of error is more than ±4.0%.

There has been an improvement in the percentage of victims satisfied with the whole experience, from 61.0% [±1.4%] in the twelve months to the end of June 2018 to 62.1% [±1.3%] in the twelve months to the end of June 2019 although this change was not statistically significant. There has been a gradual reduction in the percentage of victims satisfied over the last five years, from 83.8% [±1.1%] in the twelve months to the end of June 2014.

There have been statistically significant deteriorations in the percentage of victims satisfied with the whole experience for one of the four individual crime types. In the twelve months to the end of June 2019, the percentage of victims satisfied with the whole experience ranged from 71.1% [±1.7%] for burglary to 58.3% [±2.4%] for violent crime.

Anecdotal feedback provided by some staff suggests that deteriorations in the percentage of victims satisfied should have been expected as GMP’s focus has shifted from volume crime to ‘vulnerability’. However, this does not seem to be supported by the survey results as hate crime, which is likely to include some vulnerable victims due to the nature of the crimes, has the second lowest percentage of victims satisfied.

There is also an assumption that the survey results are affected by crimes referred to the Public Assistance Desk (PAD). Staff on some districts believe that the percentage of victims satisfied, particularly for vehicle crime, is negatively impacted by PAD crimes. However, analysis shows that there is no statistically significant difference in the percentage of victims satisfied when PAD crimes are removed from the results (and the percentage of victims satisfied is lower for some districts when PAD crimes are removed).

There have been increases in the percentage of victims satisfied for all of the five aspects of service. In the twelve months to the end of June 2019 compared to the same period the previous year:

The percentage of victims satisfied with ease of contact has increased by 0.9 percentage points, from 80.9% [±1.4%] to 81.8% [±1.2%], although this change was not statistically significant;

The percentage of victims satisfied with time to arrive has increased by 2.8 percentage points, from 73.6% [±3.0%] to 76.4% [±2.5%], although this change was not statistically significant;

The percentage of victims satisfied with actions taken has increased by 1.2 percentage points, from 50.9% [±1.5%] to 52.1% [±1.4%], although this change was not statistically significant;

The percentage of victims satisfied with follow up has increased by 2.0 percentage points, from 47.7% [±1.5%] to 49.7% [±1.4%]; and

The percentage of victims satisfied with treatment has increased by 2.3 percentage points, from 81.0% [±1.2%] to 83.3% [±1.1%].

Deteriorations in victim satisfaction have been anecdotally attributed to a number of factors, including:

Victims receiving a ‘reduced’ service (such as being dealt with entirely over the phone rather than receiving a visit) due to reductions in police resources;

Specific outcomes not being achieved, such as property not being returned or no arrests being made; and

A shift in focus from volume crime to ‘vulnerability’.

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However, research shows that the factors that have the largest effect on victim satisfaction are:

Undertaking the actions the victim expects; Making the victim feel reassured; and Taking the matter seriously.

These factors are the drivers of satisfaction. Ensuring that these factors are fulfilled for every victim of crime will improve satisfaction.

There have been statistically significant improvements in the percentage of victims who agree with the drivers of satisfaction. In the twelve months to the end of June 2019 compared to the same period the previous year:

• The percentage of victims who agree that the police undertook the actions they expected has increased by 2.1 percentage points, from 59.7% [±1.5%] to 61.8% [±1.4%];

• The percentage of victims who agree that the police made them feel reassured has increased by 3.7 percentage points, from 71.5% [±1.4%] to 75.2% [±1.2%], ; and

• The percentage of victims who agree that the police took the matter seriously has increased by 4.2 percentage points, from 76.4% [±1.4%] to 80.6% [±1.2%].

The drivers of satisfaction are important when considering victim satisfaction, but there are a number of other factors that should be considered to understand why victim satisfaction is deteriorating.

8.1.12 Why has victim satisfaction been deteriorating?

This is a complex issue, and a question to which there is no simple answer. There is likely no single reason why victim satisfaction has been decreasing. Some of the possible reasons for a decrease in victim satisfaction are explored below. It should be recognised that the below factors are interconnected, rather than being standalone.

Interpersonal treatmentThe majority of academic research has found that good interpersonal treatment has the largest effect on victim satisfaction, rather than the outcome of the case (e.g. Myhill and Bradford, 2012). Whilst many aspects of policing are often out of our control, ensuring that officers maintain good ‘soft skills’ is within the gift of the police service. Increasingly, incidents are being dealt with entirely over the phone, yet to date most of the previous training (e.g. the Communication Skills training) has focused on face-to-face interactions.

Considerations: Is the treatment officers give victims at the forefront of their minds when speaking to victims

on the phone or attending scenes? Have recent changes in policing e.g. Windsor Review, pay reviews etc., had a knock-on

effect on the way officers treat victims? What consequences are there for officers who treat victims in a poor manner? What rewards are there for officers who treat victims well? What training do OCB call-handlers receive in customer service skills?

Victims’ expectations of the serviceA recent piece of analysis of GMP victim satisfaction data conducted by LSE (London School for Economics) advises that “the police should recognise that it is more important to avoid cases of dissatisfied victims rather than making satisfied victims even more pleased”.

In order to avoid dissatisfaction, it is imperative to have a conversation with the victim from the outset to understand their expectations. It may then be necessary to manage the victim’s expectations and to explain clearly why certain courses of action may or may not be possible, and to explain what may or may not happen next. Analysis of the victim satisfaction data suggests that this is not always happening.

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Considerations:

How clearly do we explain our decisions to victims e.g. avoiding police jargon, not giving the victim false hope?

Are staff comfortable having difficult conversations with victims e.g. regarding screening decisions? Have they been given the right training to have these conversations? How do we share best practice from staff who are good at having these conversations?

Has GMP widely publicised the level of service victims can expect from us? How consistent is GMP in the service it offers victims?

The extent to which providing a good service to victims is emphasised by the ForceAs an organisation, providing a good level of service to our customers should be an integral part of our culture and what we do. The majority of officers will have joined the police service in order to help people and provide a good service; however, is our organisation set up in a way that is conducive to this? As a citizen-focused organisation, GMP should be actively seeking feedback from its customers and using this insight to shape the service it delivers, and its policies and procedures. The extent to which GMP truly does this could be questioned and, despite decreases in satisfaction, the subject is rarely discussed in any meaningful way in performance meetings. Fundamentally changing the culture of an organisation and the behaviours of its staff is not a quick fix, but this is what is needed in order to improve. Also, the introduction of the Victim Service Co-ordinators is a real opportunity for the Force to listen to the experiences of victims and seek ways in which it can improve.

Considerations: To what extent does GMP use feedback from victims to shape its policy and procedures? To what extent is there buy in? Does GMP value staff who provide a good level of service to victims? To what extent does victim satisfaction feature in the promotion process? To what extent does victim satisfaction feature in performance meetings/briefings? To what extent has GMP ensured that officers have effective training in customer service

skills?

The efficacy of victim satisfaction initiativesIn order to make best use of resources, we should be focusing our efforts on the initiatives and programmes of work which will have the greatest impact on improving victim satisfaction. The extent to which GMP has invested in improving customer service could be questioned. Many different initiatives have been tried over the years, but there has been a lack of evaluation in order to determine whether these have had a positive impact on victim satisfaction.

To what extent do we use an Evidence Based Practice approach to improving customer service?

To what extent do we make use of findings from previous academic research?

ReferencesVictim Satisfaction - Does it Matter? Scottish Graduate Programme in Economics Session 2016-17, MSc Economics (Econometrics), University of Edinburgh Myhill, A. and Bradford, B. (2012). Can police enhance public confidence by improving quality of service? Results from two surveys in England and Wales. Policing and Society, 22(4):397–425.

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8.2 File Quality

8.2

8.2.1 File Quality (CPS data)

Over the 12 months to May 2019, GMP has moved into 32nd position out of 44 forces for file quality, previous month GMP were in 34th position.

8.2.2 Overall error rate

Since June 2018, GMP have been very close to the national average for error rate. In May 2019 GMP had an error rate of 32%, this is similar to previous months with exception of last month. National average of 30%.

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8.2.3 National File Standards – failure

Between June 2018 and May 2019 there was a steadily improving trend in GMP’s failure rates recorded against the three key National File Standards (NFS) questions. Since April there has been little change, although there are early indications of improvements in questions 1, 2 and 3.

In terms of question 1 being the highest failure, this prompted GMP into introducing their own tracker in April 2018.

8.2.4 File quality (GMP data)

In April 2018 GMP introduced a new way of the divisional CJ units checking, correcting and recording file quality prior to submission to the CPS. Officers will now have just 24 hours to submit a file after the point of charge. The CJ teams will then check these files and if complete they will send the cases to the CPS and if not they will return the case to be completed correctly. This process has a number of benefits. The file will now only go to the CPS when it is complete and it will therefore cut down on the drip feeding that currently causes the CPS so many problems and leads to officers receiving multiple unnecessary action plans. Alongside this it will allow the CJ units the time to get the files fixed to the correct standard before the TSJ timescales are reached.

Perhaps the biggest benefit of this process is that we can now create statistics that can be relied on and therefore used to drive performance. Prior to this we had only statistics either from the CPS or the Peer Reviews that were completed well after the file should have been correct and were very subjective and therefore unreliable. It was also difficult to pin down who was responsible for each file. The new process is clear on all these points and so can be used much more effectively, especially as it can be broken down to team and officer level. The checks are currently administrative and therefore do not deal with the detail of a file or the evidential quality of it. These are areas that are being worked towards and in the future we will look to enhance what is provided in order to improve file quality and therefore increase our guilty pleas, reduce adjournments and thus reduce wasted officer time that is spent reworking and upgrading files.

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The chart above shows that 63% of all files submitted since June 18 needed some form of intervention, either sending back to supervisor (28%) or the local JSU making the corrections (35%).

The above chart shows a breakdown of the file types that have been evaluated and uses the same three performance indicators of 1-Unable to process, 2-Processed by JSU with issues and 3- processed no issues.

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8.3 PIP1 investigation standards

8.3.1 PIP1 supervisory effectiveness audit

The supervisory effectiveness audit refocuses on how supervisors manage a crime throughout its lifetime, so not only whether it contained the requisite elements to evidence that the investigation met the standard but also that the process occurred at the correct time so that the crime is managed efficiently. For example, not just that the PIP 1 write-up was completed to standard but also whether it was completed at the earliest opportunity to provide supervisors with sufficient time and information to make a quality screening decision and so effectively prioritise demand.

The sample is drawn from open crimes only; aligns to reliefs; and results from the audit will be discussed with reliefs and supervisors on a weekly basis to identify any support and training issues as well as monitoring quality and provide accountability.

As districts are auditing their own crimes there is a weekly moderation process to ensure that crimes are audited consistently according to the audit instructions.

81% 81% 81% 82% 81% 81% 81% 81% 81% 81% 81% 81%80%

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15/04/2019 22/04/2019 29/04/2019 06/05/2019 13/05/2019 20/05/2019 27/05/2019 03/06/2019 10/06/2019 17/06/2019 24/06/2019 01/07/2019

03 04 05 06 07 08 09 10 11 12 13 14

Overall Compliance Rolling 5 week average Target

GMP Average

Overall Compliance

Week 03 04 05 06 07 08 09 10 11 12 13 14Week commencing 15/04/2019 22/04/2019 29/04/2019 06/05/2019 13/05/2019 20/05/2019 27/05/2019 03/06/2019 10/06/2019 17/06/2019 24/06/2019 01/07/2019Relief C B A E D C B A E D C BCompliance 83% 81% 81% 84% 77% 80% 83% 82% 80% 80% 79% 81%

80% 80% 80% 80% 80% 80% 80% 80% 80% 80% 80% 80%Rolling 5 week average 81% 81% 81% 82% 81% 81% 81% 81% 81% 81% 81% 81%% point change 1% 0% 0% 1% -1% -1% 0% 0% -1% 1% 0% 0%On/off target (80%) 1% 1% 1% 2% 1% 1% 1% 1% 1% 1% 1% 1%

Overall Compliance

Focus should remain primarily on the direction of travel as there will always be some fluctuation from one week to another due to the low weekly sample size and the different reliefs audited.

Over the lifetime of the audit, GMP average overall compliance has been showing an upward trend from an average overall compliance of 50% in Week 1 to 81% in Week 14 2019/20.

The rolling 5 week average gives the average across a full ERGO relief cycle to give a better indicator of the level of compliance. The rolling 5 week average has been showing an upward trend from an average overall compliance of 51% in Week 05 to 81% in 2019/20 Week 14.

Progress is still being held back primarily by the key question “Have all review dates been met”. Consideration should be given as to whether high compliance for this question is achievable or whether it should have equal weighting given the current levels of demand and resourcing.

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Relief cycle 1 Baseline 10 Change 11 Change 12 Change 13 Change 14 ChangeGMP average 51% … 80% -1 %pts 81% 1 %pts 81% 0 %pts 81% 0 %pts 81% 0 %pts

Overall Compliance

The above table shows the %point change between complete five week relief cycle; GMP Average has shown an increase from the initial 5 week relief cycle of 51% to 81% in the 14th relief cycle.

74% 72% 69% 73% 73% 75% 71% 72% 73% 70% 67% 76% 72%

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81%75% 72%

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Audit average - w/c 05/03/2018 to 01/07/2019

Overall ComplianceCity of Manchester TCA North West TCA Eastern TCA South West TCA

District CoM - North CoM - Central CoM - South K - Bolton L - Wigan N - Bury G - Tameside P - Rochdale Q - Oldham F - Salford J - Stockport M - Trafford GMP Average

Current rolling average (Ergo 5 wk) 85% 91% 74% 79% 84% 80% 78% 85% 81% 75% 72% 83% 81%

Change against previous rolling average 1% 3% -2% -5% 2% 0% 0% 1% -5% -4% 2% 3% 0%

On/off target (80%) 5% 11% -6% -1% 4% 0% -2% 5% 1% -5% -8% 3% 1%Target 80% 80% 80% 80% 80% 80% 80% 80% 80% 80% 80% 80% 80%

Baseline rolling average 49% 47% 51% 50% 49% 48% 45% 51% 54% 59% 55% 60% 51%

Audit average 74% 72% 69% 73% 73% 75% 71% 72% 73% 70% 67% 76% 72%

Overall Compliance

The current rolling average is the average of the most recent 5 weeks; this ensures that all 5 reliefs have been audited.

In the above table a green cell indicates where the current rolling average is higher than the average over the audit period. This indicates an improvement trend. Conversely a red cell indicates where the current rolling average is lower than the average over the audit period, indicating a worsening trend.

GMP average compliance over the lifetime of the audit is 72% with the current rolling average higher at 81% showing that the trend is improving and above target.

All districts are showing an overall improving trend although there have been some minor fluctuations against previous rolling periods which is likely due to natural variability of the data. However, some districts have seen large drops this month.

As previously mentioned focus should remain primarily on the direction of travel and it is expected that the average compliance will begin to track upwards as audit results are fed back and implemented in improved crime recording and supervision.

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Week 10 11 12 13 14Week commencing 03/06/2019 10/06/2019 17/06/2019 24/06/2019 01/07/2019Relief A E D C BErgo relief A E D C BHas a PIP 1 write up as per the Crime Management Standard (What Happened? / What Needs to Happen?) been completed at the point of submission?

76% 67% 72% 77% 74% 27% 58% 74% 73%

Has the Supervisor ensured that from the outset there is a PIP 1 write up as per the Crime Management Standard (What Happened? / What Needs to Happen?)

87% 87% 91% 88% 88% 43% 76% 86% 88%

Has the crime been appropriately reviewed by a supervisor?

94% 90% 91% 90% 95% 58% 84% 90% 92%

Has the supervisor agreed or set appropriate actions?

93% 92% 92% 87% 97% 58% 85% 90% 92%

Has the supervisor set appropriate timescales that reflect the need to effectively progress the investigation?

96% 87% 90% 82% 93% 57% 82% 86% 90%

Have all review dates been met? 36% 45% 46% 38% 36% 21% 31% 39% 40%

Has VCOP been maintained as per the contract level?

72% 75% 65% 74% 69% 46% 62% 74% 71%

Is the offender status appropriate? 89% 88% 82% 84% 86% 77% 84% 85% 86%

Should the crime still be open? 94% 91% 91% 88% 93% 77% 88% 95% 92%

Overall Compliance 82% 80% 80% 79% 81% 51% 72% 80% 81%

Week 1 to 5 average - baseline

Audit average

Previous rolling

average week 05 to 09

Current rolling

average week 10 to 14

The current rolling average is the most recent 5 weeks for districts. In the above table a green cell indicates where the current rolling average is higher than the average over the audit period. This indicates an improvement trend. Conversely a red cell indicates where the current rolling average is lower than the average over the audit period, indicating a worsening trend.

Only 58% of the crimes audited over the period of the audit had a PIP 1 compliant write up at the point of submission however, the current rolling 5 week period shows an increase to 73% indicating an improving trend against the audit average but lower than the previous period by 1%points. This is important if supervisors are to make appropriate screening decisions to manage and prioritise demand.

76% had a Supervisor ensure a PIP 1 compliant write up over the lifetime of the with the current rolling 5 week period showing an increase at 88% indicating an improving trend and 2% points higher than the previous rolling average.

Over the audit period 84% had been appropriately reviewed; 85% had appropriate actions and 82% had appropriate timescales. All these measures have been showing an upward trend, with the current rolling 5 week average showing 92%; 92% and 90% respectively. This is an improvement on the previous rolling period.

Only 31% of crimes have met all review dates, with the current rolling 5 week period showing an increase to 40% indicating an improving trend and 1% points higher than the previous rolling average. Despite an improving trend, compliance for this question is proving the most limiting to improvement of overall compliance. Consideration should be given as to whether high compliance for this question is achievable and whether it should have equal weighting given current resourcing and demand levels.

VCOP contract level average compliance is at 62% over the complete audit period; with the current rolling 5 week period showing an increase at 71% indicating an improving trend. This is a decrease of 3% points on the previous rolling period.

Compliance rates remain high for end of investigation processes with 84% compliance for “Is the offender status appropriate” and 88% compliance for “Should the crime still be open” with the current rolling 5 week values at 86% and 92% respectively indicating an improving trend.

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8.3.2 PIP1 supervisory effectiveness audit – Summary

As all districts are now operating the ERGO relief structure, data will now be shown as a rolling 5 week average.

Overall compliance (rolling 5 week) has been stable at around 81% over the last 4 months.

All districts are showing an overall improving trend although there have been some minor fluctuations against previous rolling periods which is likely due to natural variability of the data. However, some districts have seen large drops this month.

PIP 1 compliant write up at the point of submission shows an increase to 73% current rolling 5 week period indicating an improving trend against the audit average but 1% lower than the previous rolling average. This is important if supervisors are to make appropriate screening decisions to manage and prioritise demand.

Only 31% of crimes have met all review dates, with the current rolling 5 week period showing an increase to 40% indicating an improving trend and 1% points higher than the previous rolling average. Despite an improving trend, compliance for this question is proving the most limiting to improvement of overall compliance. Consideration should be given as to whether high compliance for this question is achievable and whether it should have equal weighting given current resourcing and demand levels.

VCOP contract level average compliance is at 62% over the complete audit period; with the current rolling 5 week period showing an increase at 71% indicating an improving trend. This is a decrease of 3% points on the previous rolling period.

The PIP 1 audits have been temporarily suspended during the iOPS transition period.

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8.4 National Crime Recording Standards (NCRS)

8.4.1 Overall compliance

A target has been set for overall compliance of 94%. Data for May shows overall compliance of 84.2% [± 3.7%]. The margins of error suggest this is genuinely below the target. At this point targets have not been set for individual areas.

The result in May 2019 is a decrease of 5.0pp compared to May 2018 (89.2%). The margins of error suggest this is not a significant change.

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8.4.2 Violence

Data for April 2019 shows an increase in NCRS compliance for violence of 0.1pp since March 2019 (up to 85.2% [± 5.2%] from 85.1% [± 4.7%]). The margins of error suggest this is not a significant change.

The result in April 2019 is an increase of 1.8pp compared to April 2018 (83.4%). The margins of error suggest this is not a significant change.

8.4.3 Sexual offences

Data for May 2019 shows a decrease in NCRS compliance for sexual offences of 2.1pp since April 2019 (down to 87.3% [± 5.1%] from 89.4% [± 5%]). The margins of error suggest this is not a significant change.

The result in May 2019 is an increase of 0.8pp compared to May 2018 (86.5%). The margins of error suggest this is not a significant change.

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8.2.4 Rape

Data for May 2019 shows a decrease in NCRS compliance for rape of 7.7pp since April 2019 (down to 81.7% [± 2.8%] from 89.4% [± 3.1%]). The margins of error suggest this is a genuine decrease.

The result in May 2019 is a decrease of 13.8pp compared to May 2018 (95.5%). The margins of error suggest this is a genuine decrease.

8.2.5 Timeliness

Compliance for timeliness in May 2019 was 91.6% [± 2.8%], up 5.7pp since April 2019 (85.9% [± 3.0%]). The margins of error suggest this is not a significant change.

The May 2019 result is 4.7pp lower than May 2018 (96.3%).The margins of error suggest this is a genuine decrease.

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8.2.6 Compliant write up

It should be noted that only FWINS that are not crimed are assessed for compliant write up. Typically this applies to around 20% of the total FWINs audited each month.

Compliance for compliant write up in May 2019 was 65.8% [± 4.9%], down 9.5pp since April 2019 (75.3% [± 3.8%]). The margins of error suggest this is a genuine decrease.

The May 2019 result is 18.2pp lower than May 2018 (84.0%). The margins of error suggest this is a genuine decrease.

8.2.7 Correct number of crimes recorded

Compliance for correct number of crimes recorded in May 2019 was 86.1% [± 3.5%], down 1.3pp since April 2019 (87.4% [± 2.9%]). The margins of error suggest this is not a significant change.

The May 2019 result is 1.5pp lower than May 2018 (87.6%). The margins of error suggest this is not a significant change.

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8.2.8 Correct crime classification

Compliance for correct crime classification in May 2019 was 92.3% [± 2.7%], up 3.7pp since April 2019 (88.6% [± 2.8%]). The margins of error suggest this is not a significant change.

The May 2019 result is 2.0pp lower than May 2018 (94.3%). The margins of error suggest this is not a significant change.

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8.2.9 NCRS – Summary

The overall compliance rate for April 2019 of 84.2% shows no significant change on April 2019 (83.4%) or May 2018 (89.2%). Compliance for rape, timeliness and compliant write up have decreased significantly compared to last year. Compliance for rape and compliant write up have decreased significantly compared to last month.

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9. Organisational

9

9.1 Sickness

9.1.1 Working days lost per person (by Force, officers, staff and PCSOs)

As expected, the Force saw similar levels in sickness during June in comparison with previous month, decreasing from 1.16 days per person to 1.12 days.

In comparison with June 2018, there has been an increase going from 1.08 days to 1.12 days this year.

During the last 12 months, overall sickness has been at a lower rate than the previous period.

Based on the seasonal risk indicator for sickness, it is expected that total sickness in July 2019 will likely be at a slightly higher rate to this month.

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9.1.2 Total working days lost – (rolling 12 months) – officers, staff and PCSOs combined

Days lost per person A F G J K L M N P Q All Districts ForceJun-18 15.77 17.22 14.94 19.74 18.30 19.05 14.66 17.48 18.03 13.99 16.75 15.73Jun-19 13.83 14.82 13.86 14.72 18.47 16.49 13.98 13.41 15.54 13.93 14.78 14.36

% change -12.3% -13.9% -7.3% -25.4% 1.0% -13.4% -4.7% -23.3% -13.8% -0.4% -11.8% -8.7%

A F,J, M G, P, Q K, L, N15.77 17.38 15.62 18.3513.83 14.56 14.43 16.39

-12.3% -16.2% -7.6% -10.7%

Days lost per personCJC CTU S Crime P Prot OCB Spec Ops

Jun-18 14.38 12.23 13.16 15.15 23.17 12.06

Jun-19 11.14 12.18 11.58 16.75 20.43 12.57% change -22.5% -0.4% -12.0% 10.6% -11.8% 4.2%

During the last 12 months, the Force has seen a decrease in the total number of days lost in comparison with the previous year, with 11,051 days less, 6.7% decrease.

Rolling 12 month sickness until June 2019 is at 14.36 days per person. This is an 8.7% decrease on the previous period. The last time total days lost per person were at this level was back in May 2016.

It is expected that the Force will see a slightly higher level of sickness in July.

MonthDuring June, 12,277 days were lost to sickness. This was a decrease of 336 days on the previous month.

Unknown sickness was at 9.9% of days lost in June. In comparison, unknown sickness made up 12.9% of days lost in May.

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9.1.3 Police officers – total working days lost – (rolling 12 months)

12 month periodDays lost per person A F G J K L M N P Q All Districts Force

Jun-18 15.36 15.67 13.69 20.24 17.55 18.76 13.72 18.13 17.35 11.58 16.06 15.27Jun-19 12.81 14.58 12.72 14.68 18.62 16.54 13.34 13.82 15.43 13.37 14.31 13.76

% change -16.6% -7.0% -7.1% -27.5% 6.1% -11.8% -2.8% -23.8% -11.1% 15.5% -10.9% -9.9%

A F,J, M G, P, Q K, L, N15.36 16.69 14.15 18.1312.81 14.28 13.83 16.57

-16.6% -14.4% -2.3% -8.6%

Days lost per personCJC CTU S Crime P Prot OCB Spec Ops

Jun-18 14.15 11.50 12.04 14.87 23.54 11.57

Jun-19 13.19 9.49 10.53 17.00 13.41 12.31% change -6.8% -17.5% -12.6% 14.3% -43.0% 6.4%

The number of Officers’ lost days during the last 12 months has reduced by 9.6%. This was in comparison with the previous year, with a reduction of 9,171 days. The average days lost per Officer across the Force is currently at 13.76 days, which is an improvement on the previous year by 9.9%.

This level of days lost per Officer was last seen in November 2015.

MonthDuring June, 6,756 days were lost to Officer sickness. This was a decrease of 462 days on the previous month.

The two main sickness reasons in June 2019 for Officers remain a Psychological disorders (36.3% of total sickness) and Musculo/Skeletal (28.9% of total sickness).

Unknown sickness was at 6.6% of days lost in June. In comparison, unknown sickness made up 9.5% of days lost in May.

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9.1.4 Police staff – total working days lost (rolling 12 months)

Days lost per person A F G J K L M N P Q All Districts ForceJun-18 14.53 14.78 17.51 18.49 16.13 21.92 23.74 13.14 17.25 17.24 16.95 15.64Jun-19 13.43 13.79 14.03 13.67 15.42 17.76 14.73 13.63 10.80 9.18 13.61 14.53

% change -7.6% -6.7% -19.9% -26.1% -4.4% -19.0% -38.0% 3.7% -37.4% -46.7% -19.7% -7.1%

A F,J, M G, P, Q K, L, N14.53 18.66 17.33 17.3513.43 14.03 11.35 15.79-7.6% -24.8% -34.5% -9.0%

Days lost per personCJC CTU S Crime P Prot OCB Spec Ops

Jun-18 14.48 13.33 13.95 16.20 23.13 12.55

Jun-19 10.26 16.00 12.31 15.91 21.43 11.82% change -29.1% 20.1% -11.7% -1.8% -7.3% -5.8%

Staff days lost during the last 12 months have reduced by 2.6% in comparison with the previous period, with a decrease of 1,470 days. The average days lost per Staff across the Force is currently at 14.53 days, which is lower than the previous year by 7.1%.

MonthDuring June, 4,709 days were lost to Staff Sickness. This was an increase of 284 days on the previous month.

Similar to Officers, the two main reasons for sickness absence for Staff during June 2019 have been Psychological disorders (25.2% of days lost) and Musculo/skeletal, with 18.5% of days lost.

Unknown sickness was at 13.8% of days lost in June.

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9.1.5 PCSOs – total working days lost – (rolling 12 months)

Days lost per person A F G J K L M N P Q All Districts ForceJun-18 20.81 31.07 20.36 17.02 24.85 17.73 8.20 19.13 23.01 25.51 21.56 20.86Jun-19 23.95 17.90 20.74 16.74 20.45 14.80 18.55 9.76 21.29 23.37 19.77 19.31

% change 15.1% -42.4% 1.8% -1.7% -17.7% -16.5% 126.2% -48.9% -7.5% -8.4% -8.3% -7.5%

A F,J, M G, P, Q K, L, N20.81 21.26 23.04 20.9023.95 17.70 21.79 15.9015.1% -16.7% -5.4% -23.9%

Days lost per personSpec Ops

Jun-18 15.57

Jun-19 16.34% change 4.9%

PCSO days lost during the last 12 months have reduced by 3.2% in comparison with the previous year. The average days lost per PCSO across the Force are showing a decrease at 19.31 days, which is lower than the previous year by 7.5%.

MonthDuring June, 811 days were lost to PCSO Sickness this was a decrease of 158 days on previous month.

Similar to the other two areas, the two main reasons for sickness absence for PCSOs during June have been Psychological disorders (28.8% of days lost) and Musculo/skeletal with 24.2% of days lost.

Unknown sickness was at 14.5% of days lost in June.

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9.1.6 Seasonal sickness indicator and daily abstraction 2017-2019

In a similar view to the seasonal risk product developed by ERPB, HR Branch have developed a heat map view to illustrate when the Force is most at risk to sickness absence. Eight years of sickness data were used to determine the risk factor for each month and this is being updated to include 2019 data.

Estimated Seasonal Risk SicknessGMP

Sickness (all, officers, staff, PCSOs)(Using Data from April 2010 – June 2019)

Low Medium Low

Medium Medium High

High

2010-19 Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb MarAllOfficerStaffPCSOs

This comparison shows that the highest risk period for sickness correlates with the highest risk period for crime (Quarter 3 – October to December). There are also correlations in the medium risk periods during July and March.

As expected, the Force saw similar levels in sickness during June in comparison with previous month. It is predicted that sickness in July will be slightly higher than June levels.

HR Branch have also looked at what the average abstractions have been during the last 12 months.

June abstraction comparisons with previous year

Average daily abstractions Jun-18 Jun-19

All 539 573Officer 310 315Staff 190 220PCSOs 39 38

In comparison with the same month last year there has been an increase in the average number of Officers and Staff abstracted, because of sickness during June, with an increase of 34 Officers/Staff/PCSOs absent on average every day, in comparison with the same month last year.

This increase has been from the average number of Police Officers and Staff who are absent every day, in particular Staff, with an additional 30 staff absent every day during June 2019.

This is the equivalent of more than one district being absent every day.

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Monthly abstractions

Average daily abstractions (last 12 months)

Jul-18 Aug-18 Sep-18 Oct-18 Nov-18 Dec-18 Jan-19 Feb-19 Mar-19 Apr-19 May-19 Jun-19 Overall % of avg strength

All 578 558 603 623 633 628 653 601 572 553 569 573 595 5.5%Officer 333 319 352 350 344 344 356 332 317 303 326 315 333 5.2%Staff 207 200 203 222 237 233 245 221 209 205 200 220 217 5.6%PCSOs 38 39 48 51 52 51 52 48 46 45 43 38 46 7.3%

During the last 12 months, the Force has had an average abstraction rate of 595 Officers/Staff/PCSOs per day, which is the equivalent of 5.5% of average strength during this period.

During the last 12 months, the highest number of abstractions have been during November and January and the lowest during April and August.

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9.1.7 Sickness – Summary

Overall GMP has continued to see an improvement in the 12 months to June 2019 with 14.36 days lost per person compared with same period last year (15.73 days). In total, during the 12 months to June 2019, GMP has lost 154,598 days to sickness. This is a reduction of 11,052 days (-6.7%) on the previous period. This has been driven mainly by a decrease in the number of days lost to police officer sickness.

It is anticipated that based on previous years, GMP will see a slightly higher level in the days lost to sickness during July as there was in June.

Police officer sickness has improved from 15.27 days (12 months to June 2018) to 13.76 days per officer (12 months to June 2019). The Force also saw an improvement in police staff sickness decreasing from 15.64 days to 14.53 days and PCSO sickness decreased from 20.86 to 19.31 days.

During June Psychological disorder sickness has continued to be the highest contributor with 31.6% of total days lost. Musculo/Skeletal sickness accounted for 24.6% of total days lost in June. Unknown sickness made up 9.9% of days lost in June.

Reasons for sickness May 2019 comparison % change June volume (days)

Psychological Disorder Increase 2.1% 3,875Musculo/Skeletal Decrease -8.7% 3,019Cardiac/Circulatory Decrease -6.1% 349Nervous System Increase 3.3% 89Digestive Disorder Increase 7.9% 1,031Genito-Urinary Increase 13.8% 319Respiratory Conditions Decrease -27.9% 236Infectious diseases Decrease -15.2% 386Ear/Eye problems Increase 6.5% 269Headache/Migraine Increase 22.5% 386Skin Increase 133% 151Miscellaneous/Unknown Decrease -9.8% 2,167Total Days lost Decrease -2.7% 12,277

During the last 12 months the Force has had an average of 595 people absent through sickness every day, this equates to 5.5% of total Officer, Staff and PCSO headcount. During June 2019 the average daily abstraction figure was at 573.

During June 2019 the Force saw Officer sickness abstractions at an average of 315 Officers per day. For Police Staff the average daily abstraction during June was 220 Staff per day. PCSO daily abstraction has been on average 38 per day.

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9.2 Time off in lieu

TOIL (previously known as Compensatory Time Off – CTO) should be taken as time off. If, however, this time is still outstanding after three months, an automatic payment can be made. This is an additional cost to the force and is not budgeted for. Up to the end of June 2019, GMP has spent £89,791 with districts accounting for £63,105.

Overtime By District/Branch (Excludes External Funding, Sponsorship & FTCG/FPM allocations)

OFFICER CTO

Period JUNE 19/20 0149

Year To Date

Actuals

Year to Date

Budget

Year To Date

Variance

Full Year Forecast

Full Year

Budget

Full year Variance

101 Bury 3,123 0 -3,123 11,777 0 -11,777102 City of Manchester 13,069 0 -13,069 13,069 0 -13,069103 Bolton 4,563 0 -4,563 4,563 0 -4,563105 Stockport 4,748 0 -4,748 4,748 0 -4,748106 Tameside 5,168 0 -5,168 5,168 0 -5,168107 Trafford 6,375 0 -6,375 6,375 0 -6,375108 Oldham 7,592 0 -7,592 7,592 0 -7,592109 Rochdale 6,103 0 -6,103 6,103 0 -6,103110 Salford 6,701 0 -6,701 6,701 0 -6,701111 Wigan 5,664 0 -5,664 5,664 0 -5,664

63,105 0 -63,105 71,759 0 -71,759

201 PP&SCD 6,773 0 -6,773 6,773 0 -6,773203 OCB 678 0 -678 678 0 -678204 Spec Ops 7,599 0 -7,599 7,599 0 -7,599205 Custody 1,650 0 -1,650 -0 0 0206 Criminal Justice 107 0 -107 107 0 -107207 Mutual Aid 0 0 0 0 0 0

16,806 0 -16,806 15,156 0 -15,156

302 HR 738 0 -738 738 0 -738303 Staff Associations 0 0 0 0 0 0306 IS 0 0 0 0 0 0307 Corp Comms 0 0 0 0 0 0308 OLWD 2,037 0 -2,037 2,037 0 -2,037309 NCE 101 0 -101 101 0 -101310 PSB 828 0 -828 828 0 -828311 BSS 0 0 0 0 0 0315 Strategic Core 0 0 0 0 0 0316 Legal Services 0 0 0 0 0 0

3,704 0 -3,704 3,704 0 -3,704

401 CTU GMP 583 200 -383 1,246 863 -383

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402 CTU DSP 660 0 -660 660 0 -660403 CTU TAM 3,402 0 -3,402 3,402 0 -3,402404 CTU NPAC 0 0 0 0 0 0405 CTU NBTC 6 0 -6 6 0 -6406 CTU Hillsborough 0 0 0 0 0 0407 CTU CTSA 0 0 0 0 0 0408 CTU RMAC 0 0 0 0 0 0

4,652 200 -4,452 5,315 863 -4,452

602 Casualty Reduction Partnership 0 0 0 0 0 0

604 Catering 0 0 0 0 0 0607 MCC Fleet Collaboration 0 0 0 0 0 0608 Operational Collaborations -94 0 94 -31 0 31610 Occupational Checks 0 0 0 0 0 0612 FSM 0 0 0 0 0 0

614 Specialist Operations Planning Unit 1,112 0 -1,112 1,112 0 -1,112

616 ISTP 0 0 0 0 0 0618 Manchester Airport 400 0 -400 400 0 -400623 Op Protector 17 0 0 0 0 0 0624 Op Protector 18 106 0 -106 106 0 -106625 Op Protector 19 0 0 0 0 0 0626 Secondments -0 0 0 -0 0 0

628 Strategic Change Programme 0 0 0 0 0 0

630 Op Challenger 0 0 0 0 0 0632 International Policing 0 0 0 0 0 0

634 Recruitment and Positive Action 0 0 0 0 0 0

636 Design for Security 0 0 0 0 0 0637 Wellbeing 0 0 0 0 0 0638 Cadets 0 0 0 0 0 0642 CTU Operations 0 0 0 0 0 0702 HR SSC 0 0 0 0 0 0800 TOM Portfolio 0 0 0 0 0 0

801 Prog 1 Transforming Public Contact 0 0 0 0 0 0

802 Prog 2 Improving Operational Policing 0 0 0 0 0 0

803 Prog 3 Building Better Outcomes 0 0 0 0 0 0

804 Prog 4 Building a Better Organisation 0 0 0 0 0 0

805 Prog 5 Transforming Information Systems 0 0 0 0 0 0

899 TOM Revenue Markers 0 0 0 0 0 01,524 0 -1,524 1,587 0 -1,587

Grand Total 89,791 200 -89,591 97,521 863 -96,658

Please note that the Grand Total of £29,255 includes all branches.

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Page 125: Contents · Web viewOf these 10% (6,181) were resolved as a grade 5 telephone resolution within OCB. In June 2019, 47% of the 101 non-emergency calls were answered within 30 seconds

Security Classification: OFFICIAL-SENSITIVE

10. Appendix

More performance guidance, reports, and toolkits can be found in ERPB’s Performance Portal.

Graphs showing crime counts over time and by district are from the GMP monthly performance bulletin.

Graphs showing forecasts and performance compared to other forces are from a report created by Lancashire Constabulary called ForceSight. Please email [email protected] for a copy.

The graphs from the GMP monthly bulletin showing crime counts over time are explained here.

The crime codes which make up each crime category can be found in the Crime Codes Database.

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