1.5 million new homes by 2030: what the government{AP}s housing targets mean for your data strategy
The Homes England Strategic Plan is accelerating housing delivery. This is placing additional demand on already-pressured operations. Here’s why your data foundations need to be up to the challenge.
The scale of the challenge
In December 2025, the UK government launched its latest Homes England Strategic Plan, a five-year strategy to deliver 1.5 million new homes by 2030. The Planning and Infrastructure Bill provides the legislative framework to accelerate delivery, covering the supply and building of homes, renewal of social and affordable housing, investment, and homelessness.
The ambition is substantial: up to £200 billion in private and institutional capital is being sought for housing schemes. The Social and Affordable Homes Programme (SAHP) 2026–2036 allocates up to £39 billion to increase the supply of social and affordable housing across England, with at least 60% of homes designated for social rent.
Private sector delivery is now the norm
Private housebuilders now build most new homes. In the last twelve months, over 75% of all new affordable homes were built by private sector firms. Around 45% were built under Section 106 agreements, where commercial developers are required to build affordable homes as a condition of planning permission. A little over 30% were built by private registered providers, both housing associations and for-profit private providers, typically funded through the Affordable Homes Programme or private finance.
This shift means that housing associations are increasingly operating in a mixed economy alongside commercial developers, institutional investors and government co-investment bodies such as the National Housing Bank. Each of these partners has expectations around data quality, reporting and governance that many housing providers are not yet set up to meet.
Growth at pace requires data foundations that already work
Managing a portfolio of 40,000 or 50,000 homes is complex enough. Scaling to meet government targets, taking on new stock, integrating assets from development partnerships, and maintaining standards across a growing and diversifying portfolio, all requires data foundations that are reliable, consistent and scalable.
If the basics are not in place before the growth arrives, the problems compound. Inconsistent property data makes it harder to forecast repairs. Gaps in tenant records make it harder to meet compliance requirements. Fragmented financial reporting makes it harder to demonstrate viability to investors and regulators. The time to sort this out is now, not once the new homes are occupied and the regulatory clock is ticking.
Regulatory pressure is intensifying at the same time
The growth agenda coincides with a significant tightening of regulatory expectations. Awaab’s Law requires housing providers to address hazards such as damp and mould within prescribed timescales. The Social Housing Regulation Act has strengthened the powers of the Regulator of Social Housing. Tenant Satisfaction Measures (TSMs) require housing associations to collect and report standardised data on tenant experience. Annual SDR submissions demand consistent, auditable data across the organisation.
Meeting these obligations at the current scale is challenging enough. Doing so while growing the portfolio and integrating new assets from multiple development and investment partners requires housing association data analytics that are embedded in operations, not bolted on as an afterthought.
Getting ahead of the curve
The housing providers that will navigate this period most successfully are those investing now in the data platforms, governance and analytical capability they will need at scale. That means building a single, trusted view of property, tenancy, compliance and financial data; embedding predictive analytics into operational workflows; and putting in place the reporting infrastructure that investors, regulators and government partners expect. And this is even before considering the impact and potential of AI: the promise of productivity boosts, intelligent automation, and operational agility will depend on the quality of your data foundations.
Red Olive works with housing associations to build the data platforms and analytics capability needed to manage growth, meet regulatory requirements and attract investment. If you are preparing for what is coming, we can help you get your data foundations right.
