Our work
The Centre has worked in collaboration with Staffordshire Police, Staffordshire Fire and Rescue Service and Local Authorities to deliver invaluable insight to identify the hotpots’ locations of incidents of ASB in priority areas.
The Centre brought together a number of different data sets, from different organisations to help locate these hotspots and identify the age cohorts of those most impacted. The aim was to locate hotspots across the county and city’s priority districts to draw some useful insight from the findings, which could be used in practical ways, as set out in the report conclusions and recommendations with the aim to roll out to other districts and boroughs.
Datasets included:
- Crime Data – ASB occurrences
- ASB data from districts and boroughs
- ASB data from FARS
- Indices of Deprivation Data
- Academic research review – Keele university
The analysis of these data sets aimed to:
- Identify joint priority Anti-social Behaviour hotspots through the analysis of partner data
- Inform the Anti-social Behaviour hotspot policing trial through detailed analysis of combined data sets.
- Provide actionable insight into the local issues within the identified ASB hotspots
The report draws together the findings from the analysis, research and engagement, and proposes a set of recommendations that the involved partner agencies will now use to inform action plans in the coming months.
Staffordshire Police’s Anti-social behaviour lead has said:
“The analysis has enabled us to understand Anti-Social Behaviour within Stoke on Trent and Staffordshire, to plan a multi-agency approach to tackling our hot spots. The information will enable us to improve the service we provide to victims by providing us with a richer picture from a number of data sources. We can now work with partners to align priorities and jointly tackle these hot spots. We look forward to working with the SCDA on future projects as part of our objective to ensure a safe and confident community.”
The cost-of-living crisis is a national issue. Latest research from the Joseph Rowntree Foundation suggests that “7.2 million [people] are going without the basics and 4.7 million are behind on their bills” (Earwalker, 2022). Over the past 18 months, local and national initiatives have been developed at pace to provide direct support to individuals. However, measures for targeting individuals are not always easy to identify and access to data is limited.
The Centre has worked in collaboration with a number of partners including Public Health, Citizens Advice, Dorset Council and a variety of different data sources to provide actionable insights to those across Staffordshire, including District and Borough colleagues to support those most vulnerable in our population.
The Centre brought together a number of different data sets from different organisations to build on existing information held by partner organisations, updating with new data sources and combining data sets in innovative ways to improve insight on individuals and families who are at risk of becoming vulnerable and might be targeted for early support.
Datasets included:
- Demand Data from Citizens Advice
- An analysis of the impact on housing costs
- Experian Data on discretionary income
- Academic research input – Keele University
The report draws together the findings from the analysis, research and engagement, and is outlined in two reports. The first is a county-wide overview of those who are most vulnerable to the cost-of-living crisis with low or extremely low discretionary incomes. In the second report, this same analysis has been broken down by locality, covering the eight District/Boroughs of Staffordshire.
The reports show the geographical spread of those in two priority cohorts. Those with discretionary income of less than £50 per month and those with discretionary income of greater than £50 but less than £125 per month.
Additionally, to these reports, the SCDA has developed a dashboard using the Dorset approach which maps this data live and tracks over time the impact on those income levels, including areas such as inflation and government support payments.
Intended Impact
- Resource allocation towards most vulnerable areas and individuals identified
- Co-ordinated effort across Staffordshire including District and Boroughs, data led activity
- Better targeting of government support grants – i.e., Household Support Fund
The SCDA worked in collaboration with Staffordshire Police, Social Care, and commissioned providers to deliver invaluable insights to support a data informed approach to Domestic Abuse interventions and outcomes. The Centre brought together a number of different data sets from different organisations to help identify which interventions more successfully reduced the likelihood of repeat offending and victimisation.
The work acknowledged the complexity of offending behaviour and does not set out to provide comprehensive solutions to this. Rather, the aim was to draw some useful insight from the findings, which could be used in practical ways, as set out in the report conclusions and recommendations.
Datasets included:
- Crime Data
- DASH records (Domestic Abuse, Staking, Harassment and Honour-Based Violence) assessments
- Sample MARAC records (multi-agency, risk assessment conference)
- Domestic Abuse Protection Orders and Notices
- Children’s Social Care Records (Staffordshire County Council)
- Case Studies from Domestic Abuse Commissioned Providers
- Academic research review – Keele University
The analysis of these data sets aimed to:
- inform the work of the Domestic Abuse Partnership through detailed analysis of what works and what doesn’t in delivering successful outcomes.
- provide insight on what approaches were utilised in cases that have closed and in cases that are resilient and remain in the system.
- provide further understanding of what works in different scenarios, for example, victim/offender relationships, links to wider crime, and so forth.
The analysis informed action that included:
- A pilot developed by Staffordshire Police to test the use of Domestic Violence Penalty Orders (DVPO’s) on a new cohort of offenders
- The findings were reviewed and fed into the new Domestic Abuse Commissioning Delivery Plan 2023/24
- The insights fed into the Domestic Abuse Service Specification – I.e., Perpetrator Programmes
Our stakeholders said:
“The Centre for Data Analytics have analysed a number of different datasets to identify what can help reduce the likelihood of reoffending. The insight provided is invaluable and will enable the DACDB to take a data informed approach during the next 12 months to improve the delivery of successful outcomes.”
- DA Board Chair
"The collaboration allowed Keele academic members of the team to access the results from analysis of up-to-date regional data, to help external partners to make linkages with the findings of broader research and to help frame the parameters of the data collection and analysis to best effect. All of this fed into tangible changes and improvements in policy and regional interventions". - Keele University Lead
"The product has enabled us to understand and achieve data insight to improve outcomes in Staffordshire through building working relationships and working together with Centre Data for Analytics and Keele University"
- Staffordshire Police lead
The Centre has worked in collaboration with Staffordshire Police, Staffordshire County Council Children’s Services and the Office of the Police, Fire and Crime Commissioner to deliver invaluable insight to support a multi-agency approach to prevent and reduce the number of children and young adults becoming involved with Serious Violence.
The Centre brought together an ambitious set of data to help identify children and young adults who are at most risk of becoming involved, either as a victim and/or an offender of serious violence.
Using a robust methodology and supported by Keele academics the aim was to identify individuals at greatest risk of serious violence involvement and understand hotspots across the county.
Datasets included:
- Crime Data
- Intelligence Data
- Children’s Social Care Data
- Children’s Education Data
- Indices of Deprivation Data
- Experian Mosaic Data
- Academic research review – Keele university
The analysis of these data sets aimed to:
- Identify children and young people, aged 0-24, that are most at risk of becoming involved with serious violence as an offender and/or a victim.
- Identify the geographies within the county with the most at-risk individuals for targeted interventions.
- Provide insight and further understanding on the various indicators of involvement/future involvement with serious violence and which of these are most influential.
Valuable insights were drawn from the analytics and have informed a set of recommendations that will translate into action and will have an impact on some of our most vulnerable children and young adults.
Staffordshire Commissioner for Police, Fire & Rescue and Crime, and Chair of the Violence Reduction Alliance, Ben Adams said:
"This data will allow partners and commissioned services to better support the children and young people who are most at risk of being involved in serious violence to make better life decisions. Protecting people from harm and reducing offending are both priorities in my Police & Crime Plan, and there is already multi-agency work underway across Staffordshire and Stoke-on-Trent to help prevent violence. There is still more to be done, however. The Staffordshire and Stoke-on-Trent Violence Reduction Alliance has recently received funding from the government’s Serious Violence Duty which will help in commissioning new initiatives to support those who are identified as most at risk."
Staffordshire Police’s head of Safeguarding has said:
"The analysis has enabled us to understand Serious Violence within Staffordshire and to plan multi-agency objectives. The information has enabled us to improve the service we provide to victims and provide opportunities to change the behaviours of perpetrators. We will now work with partners to align plans. We look forward to working with the SCDA on future projects as part of our objective to ensure a safe and confident community."
The Centre has delivered invaluable intelligence to support a data informed approach to the Staffordshire Warmer Homes Programme. The Centre brought together a number of different data sets, from different organisations to help identify communities that would most benefit from a warmer homes refit.
Datasets included:
- Deprivation
- Fuel poverty
- Properties not connected to mains gas
- Properties with the lowest Energy Performance Certificate ratings
- Eligibility for energy companies’ Priority Services Register
Through overlaying these datasets, at a neighbourhood level, 11 priority areas have been identified. The Warmer Homes Programme is now using this intelligence to consider how they can raise awareness and better target these areas to ensure the scheme can have the maximum positive impact on those most in need.
The Public Health Commissioner for Staffordshire’s Warmer Homes has said:
“The first phase has enabled SWHs to identify and better target 11 priority neighbourhoods across Staffordshire. These areas not only contain high levels of fuel poverty but also the most vulnerable cohorts likely to suffer cold related illness or related risks such as falls or childhood asthma.”