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  Delivering unbroken support for 15,000 clients despite Covid-19
  
  Gravesham Council helps pensioners to secure over £184,000 in unclaimed benefits
  
  Elite Supported Employment increased participant’s income by over £3,000
  
  Haringey Council helped over 100 families claim Council Tax support worth nearly £1,000 each
  
  Incomes of over 1,000 customers boosted by almost £3 million
  
  Anglian Water improves customer service and first-time resolution
  
  80% of financially vulnerable people who engaged with DHP campaign received an average of £450
  
  How data-led take-up campaigns could help the DWP allocate £1.7 billion in unclaimed Pension Credit
  
  Citizens Advice Caerphilly help 6,000 clients boost their income by £3 million
  
  New team created to help people clear debt and find work
  
  Housing providers boost income using the BetterOff Calculator
  
  Northern Ireland Housing Executive maximises residents’ income by an average of £3,870
  
  More cost-effective council tax reduction scheme for London Borough of Enfield
  
  Haringey Council used data analytics to pinpoint individual households who could be over £7,500 a year better off
  
  Prompted by the introduction of the Homelessness Reduction Act, Luton Council used data analysis to prevent hardship
  
  Greenwich identifies £20 million of unclaimed benefits for residents
  
  Tower Hamlets gives vulnerable residents the best possible support using LIFT
  
  Data-led benefit take-up campaigns boost vulnerable people’s income
  
  The Guinness Partnership helps one tenant to receive £13,800 in unclaimed Severe Disability Premium
  
  Reimagine Debt – An approach to preventing debt that can be scaled across government
  
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  Uprating Universal Credit to tackle the cost of living crisis
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  How the housing crisis has deepened the cost of living crisis
  
  Free School Meals should be extended to all households on Universal Credit
  
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Upcoming live webinars

Title	Date	Start Time	Duration	Register
How to maximise unclaimed Pension Credit take up As the cost of living crisis continues and further increases in energy costs expected before winter, many pensioners are facing unprecedented financial challenges. Yet money is available that could lessen the financial strain. DWP estimates that up to one million pensioners, around a third of all those who are eligible, are missing out on unclaimed Pension Credit. This equates to £1.7 billion of benefits that could be worth around £3,300 for an individual pensioner household. Alongside DWP’s nationwide summer Pension Credit awareness campaign local authorities are running proactive, highly targeted Pension Credit awareness take up campaigns, and achieving great results. Minister for Pensions Guy Opperman said: “We’re going all out to promote Pension Credit, knowing how important this extra support, worth on average over £3,300 per year, could be for pensioners across the country. “It’s great to see the excellent work Local Authorities are doing to boost take-up in their areas. We’re also calling on everyone with retired family, friends and loved ones to check in with them and see if they could be eligible.” Join this webinar to learn: - Why a focus on tackling pensioner poverty is now needed - The value of unclaimed Pension Credit, and the number of households not claiming, by local authority area - Successful case studies from councils that are boosting pensioner incomes by £2,700 per household, on average	24/8/2022j/n/Y	10:30 BST2022-08-24T09:30:00ZH:i T	1.3 hours	Register
How to identify and support Just About Managing households using data The government wants to make life easier for the 'squeezed middle' or people who are just about managing. Despite most being in work, they are struggling to meet their cost of living. We know that one in five adults have less than £100 in savings, one in ten have no savings at all and more than a quarter have less than £500. Many families are one broken appliance away from slipping into debt. Local authorities want to help families who are struggling now to avoid a crisis down the line yet they have little or no visibility over people who are not already claiming benefits. Now though, analysis of other datasets can be used to get a clearer picture of families who are just about managing. Join this webinar to hear: - Who is just about managing now but at risk in the future due to the rising cost of living - Which datasets can be used to identify families in danger of debt - How local authorities can target support to avert crisis	21/9/2022j/n/Y	10:30 BST2022-09-21T09:30:00ZH:i T	1.3 hours	Register

On-demand webinars

How the housing crisis has deepened the cost of living crisis

Migrating to Universal Credit during the cost of living crisis

The latest innovations in designing Council Tax support schemes

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About
- We believe in the power of data and technology to change lives
  
  Policy in Practice is a social policy software and analytics company working with councils, government, housing providers and community organisations. We are a team of policy experts who combine cutting-edge tech, insightful data and expert analysis. We help organisations analyse the impact of policy, identify and engage the people impacted, and track the effectiveness of interventions.
  
  Our award winning Benefit and Budgeting calculator, linked to from GOV.UK, helps around 10,000 people every day find out what support they may be eligible for. Our data analytics services help organisations find relationships in datasets and visualise the drivers of poverty. We use our policy expertise to drive change via evidence, publications and media.
  
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Does Universal Credit still make work pay?

Universal Credit is intended to simplify a very complex benefit system. But do the budget cuts still allow Universal Credit to make work pay? We reveal our latest analysis.

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Uprating Universal Credit to tackle the cost of living crisis

Council Tax debt collection and low-income Londoners

Universal Credit and Financial Resilience

The impact of Universal Credit on employment outcomes

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Living Standards Index for London

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