25119 Data-Led system for Identifying Low Income Households
key details
| Value | £615,000 |
|---|---|
| Status | complete |
| Category (CPV) | 72314000 |
| Deadline | 26 Feb 2026 |
| Contract start | 28 Feb 2026 |
| Contract end | 27 Feb 2029 |
| SME suitable | Yes |
| OCID | ocds-b5fd17-f80fcbaa-7334-4745-9233-7e382ad3e505 |
Award
| Supplier | Value | Date | Status |
|---|---|---|---|
| Policy in Practice | £615,000 | 26 Feb 2026 | active |
description
Cambridgeshire County Council is looking to procure a data-led system for identifying low-income households for all the districts within Cambridgeshire and the county for the next three years.
The publication of the Cambridgeshire Poverty Strategy provided an insight into the realities of poverty locally and provided recommendations on how the County Council can support the reduction in poverty across the county. The report noted that 37,000 residents in Cambridgeshire live in a negative budget, with the number of people receiving Universal Credit increasing by 30% over the last four years. Though there are no Cambridgeshire-specific figures on the number of unclaimed support. Policy in Practise estimates that over £24 billion of support goes unclaimed, and it is reasonable to expect that there is a number of unclaimed benefits within Cambridgeshire.
The report recommended 'income maximisation' to support the prevention of poverty. This includes ensuring that individuals and households are not missing any money they are entitled to. Therefore, a data led system that identifies low-income households would allow councils to proactively contact households and provide them with support as a form of preventative early intervention.
Additional information:
This requirement was procured via the Crown Commercial Services G-Cloud 14 Framework.
Total value exclusive of VAT: £615,000
Total value inclusive of VAT: £738,000
notice history
1 notice published against this procurement.
| Published | Type | Regime | Notice |
|---|---|---|---|
| 24 Apr 2026 | Award (award) | · | 2299abc1-aa0f-400b-b872-85633d7d7f88-894418 |
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source
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