Climate Adaptation: €928 Million Requested, €80 Million in Funding

Municipalities submitted applications seeking €928 million in funding under the fifth call of the federal programme “Adapting Urban Spaces to Climate Change” (available reporting). The available funding stood at €80 million. In other words, applications amounted to 11.6 times the available funds. During a heatwave with temperatures of up to 39°C, the Association of German Cities called for better funding for climate adaptation (further reporting). As of 11 August 2026, no publicly available federal document identified in the cited sources sets out a funding-increase plan or binding prioritisation criteria for this programme.

The Gap Between Intent and Impact

Climate adaptation is implemented substantially at municipal level, although its causes and many enabling conditions are national and international. Cities and municipalities must redesign parks, plant trees, unseal paved surfaces, retain water and protect buildings against heat. The climatic changes, however, do not stop at a municipal boundary. The funding architecture nevertheless remains project-based and time-limited. It distributes individual tranches instead of organising a permanent investment pipeline.

The data point therefore shows more than a funding shortfall in this call. €80 million covers, in purely mathematical terms, only a small portion of the €928 million in funding requested through applications. Even if not every application is eligible for funding or equally urgent, a large gap remains between the projects municipalities seek to implement and the implementation capacity that the state can provide. What happens after selection is decisive. For municipalities whose projects are not selected, there is no clear prospect of the next source of funding. For the federal government, it remains unclear how submitted applications are converted into a sequence of priorities.

This creates a structural incentive to submit applications, but no reliable incentive for long-term planning. Municipalities must prepare projects even though it is unclear whether and when they will be funded. Funding thus becomes a series of isolated opportunities. Climate adaptation, by contrast, requires lead times, planning certainty and a connection between planning, approval and construction. The state clock of the funding tranche runs more slowly than the machine clock of climate risk.

A Comparison with the United Kingdom

The United Kingdom manages flood risks more strongly through long-term risk governance. The Environment Agency works with national strategies and risk maps that record hazards geographically and provide a basis for investment decisions. The British approach is not a simple cash machine for municipalities. It combines hazard analysis, prioritisation and multi-year planning. The question is therefore not only which project submits an application. It also asks where the risk is greatest and which measure promises the greatest impact.

This difference is relevant to climate adaptation in Germany. A British flood-risk model does not assess only the quality of individual project applications. It places projects within a risk-based framework. This logic could be transferred to urban heat. Vulnerability, population density and the number of hot days could form a common basis. The expected impact and the feasibility of a project would also have to be included.

The comparison does not prove that the United Kingdom resolves every risk more quickly or completely. It does show, however, that public funding does not have to stop at a one-off call for applications. It can be designed as a rolling system in which data, priorities and budgets are brought together regularly. That is a different implementation architecture from the one-off distribution of a limited funding pot.

Why the Structure Creates the Gap

The German gap results from separating responsibility from funding. Municipalities carry substantial responsibility for implementing local climate-adaptation measures, while the Länder and federal government shape important legal and financial conditions. The federal government establishes a funding programme without automatically taking over the entire municipal investment plan. Between the two levels lies a process of applications, selection and approval. Each level fulfils its own mandate. No level alone guarantees that an identified risk will become a measure implemented on time.

The missing or unclear prioritisation criteria make the problem worse. Without criteria, it is impossible to determine whether particularly vulnerable neighbourhoods, densely populated areas or projects with short implementation times are funded first. Without a plan to increase funding, it also remains unclear whether unselected applications have merely been postponed or have effectively been ended. Implementation is thereby decoupled from the urgency of the risk.

This is not a question of a lack of ideas. Cities have concrete projects, and the federal government has a funding instrument. The weakness lies in the connection between them. A record of funding requests without a robust system for selection produces a precise picture of applications, but not yet a reliable path to impact. The cool conclusion: the state records requested investments, but does not organise their execution within the same architecture.

Bauplan

The next step would be a multi-year climate adaptation pipeline for urban areas. It would not have to fund every project immediately. It would, however, have to transfer all eligible projects into a continuous process. Municipalities could submit projects that are assessed according to uniform criteria and assigned to funding stages. The budget would not be allocated in a single tranche only, but updated on a rolling basis. Unfunded projects would remain visible and could be considered again in the next round without having to restart the entire process.

Selection should be based on a transparent risk matrix. Vulnerability could reflect, for example, the particular exposure of older people or socially disadvantaged neighbourhoods. Population density would show how many people could benefit from a measure. The number of hot days would capture the climatic pressure to act. The assessment would also have to consider whether a municipality can plan and implement a project within a reasonable timeframe. This would create a sequence that combines risk and feasibility instead of simply rewarding the date on which an application was submitted.

This would not initially require a new authority for every individual measure. The federal government could establish the criteria, data basis and multi-year funding logic. Länder and municipalities could report projects in a standardised format and update their implementation status. A central pipeline would show which projects have been assessed, prioritised, funded or are not yet sufficiently prepared. The British approach to flood risk shows, in qualitative terms, that such a connection between risk mapping, prioritisation and ongoing investment planning is feasible.

The pitfall lies in using an overly broad indicator. The number of hot days alone does not determine which neighbourhood must be protected first. Population density, too, cannot fully replace social vulnerability. The matrix would therefore have to be documented publicly and reviewed regularly. Its purpose would not be to rule out discretionary political decisions. It would make them traceable.

This would turn the €928 million in requested funding first into a reliable sequence of priorities and then into a multi-year construction process. The state would not have to meet every request immediately. It would have to show the logic by which it processes those requests, when additional funds could flow and why one project is implemented before another. When a state asks about applications but does not connect selection with funding, it produces expectations instead of adaptation.

This structural finding belongs to Band 1 “Freistaat”: it concerns the difference between what the state claims and what the state makes effective.

AI-authored by Reinhard Brückner. Human editorial review: Projekt Freistaat.