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Why the Debt Data Is So Hard to Find
The reason gambling-related debt in Ireland is so poorly documented is structural rather than conspiratorial. It is not that nobody wants to know. It is that the systems through which gambling-related debt would be captured are not designed to capture it.
The primary debt resolution systems in Ireland — MABS (the Money Advice and Budgeting Service), Insolvency Service of Ireland, and credit union lending records — do not systematically record the source of debt. A person who has accumulated €45,000 in personal debt through a combination of credit card advances used to fund gambling losses, personal loans drawn down in the name of home improvements, and credit union borrowings whose stated purpose was different from their actual use appears in debt statistics as a person with unsecured personal debt. The gambling is invisible in the data because it was invisible in the transaction descriptions.
This is not a uniquely Irish problem. The UK's debt charity StepChange — which has been systematically collecting data on gambling-related debt since 2017 — found that even with active efforts to identify gambling as a debt source in client intake conversations, their initial figures consistently underestimated the true proportion by 30-40%, because clients did not disclose gambling as a debt cause in initial contact sessions. It took sustained relationship building and specific probing to get accurate pictures of how the debt was actually accumulated.
Ireland does not have the equivalent of StepChange's systematic data collection. The closest we have is the Citywide figure, Gamblers Anonymous Ireland reports, and the occasional case study from MABS advisers who have been willing to describe what they see in their caseloads. The picture those sources assemble is consistent — gambling-related debt is a significant fraction of the debt that presents to money advice services — but it is not a picture that any single authoritative dataset confirms.
The Gambling Regulatory Authority of Ireland's research function is mandated to examine gambling-related harm, including financial harm. But the GRAI has been operational for only three months and its research programme is at an early stage. The first GRAI-commissioned prevalence study, which will go beyond existing ESRI research by specifically mapping financial harm alongside health and social outcomes, is expected in 2027. That is the first time Ireland will have data specifically designed to count what we currently cannot count.
What the Problem Looks Like on the Ground
The debt patterns associated with problem gambling have a specific structure that distinguishes them from other forms of consumer debt, and that structure has implications for how the debt accumulates and how it eventually becomes visible.
Problem gambling debt typically begins as substitution: the person experiencing gambling disorder uses savings intended for other purposes, then credit, then borrowing in ways that are increasingly dissonant with their stated financial circumstances. The substitution is rarely visible in real time. A person who has spent their emergency fund on gambling deposits has no external signal of financial distress until the emergency that fund was intended to cover materialises. A person who has maxed out a credit card on gambling advances looks, in a credit bureau record, identical to a person who has maxed out a credit card on an unexpected car repair.
The distinguishing feature of gambling debt, when it becomes visible, is typically the speed of accumulation relative to income. The person presenting to a money advice service with €30,000 of unsecured debt accumulated over eighteen months on a salary of €38,000 has a debt-to-income ratio that is difficult to explain through normal consumption. The accumulation rate is the signature of gambling disorder, even when the individual transactions are described as something else.
MABS advisers who work in areas of high gaming-terminal density — the urban areas where fixed-odds betting terminals were concentrated before their maximum stake limits were reduced — have described caseloads in which this pattern is regularly visible. Not every case of rapid unsecured debt accumulation involves gambling. But the pattern is common enough, and consistent enough, that experienced advisers can often identify it before the client discloses it.
The disclosure question is central. The Irish cultural context around debt — the shame, the concealment, the reluctance to acknowledge financial difficulty to anyone — is well documented. The cultural context around gambling is overlaid on top of that. A person experiencing gambling disorder who has accumulated significant debt is navigating a double stigma: the social stigma of debt and the social stigma of a gambling problem. In that context, the disclosure of gambling as the source of debt requires a level of trust in the adviser and a level of personal acknowledgement that does not happen in the first, or frequently the second, conversation.
This dynamic explains why structured, specialised support services consistently identify higher rates of gambling-related debt than generalist services. Gamblers Anonymous Ireland's mutual aid groups, which operate in a context of explicit acknowledgement and shared experience, capture a population whose financial harm is both more visible and more severe than what appears in population surveys. The ESRI prevalence estimate of 0.7-1.5% problem gambling in the adult population does not account for the probability that problem gamblers — who by definition are experiencing loss of control over their gambling — are systematically underrepresented in population surveys, because the same loss of control that characterises their gambling also affects their willingness to disclose it in a research context.
The Lending Industry's Role
There is a dimension of gambling-related debt in Ireland that has received virtually no policy attention, and that the GRAI's mandate may not directly address: the role of consumer credit in facilitating gambling losses.
Open banking data from several European markets has shown — with a precision that self-reported surveys cannot achieve — that a significant proportion of gambling deposits in online markets are funded by consumer credit rather than disposable income. In the UK, the Gambling Commission's research using bank transaction data found that credit card funding of gambling deposits — before the UK's 2020 ban on credit card gambling — was concentrated among people showing signs of problem gambling, with problem gamblers significantly more likely to use credit than non-problem gamblers.
Ireland's Gambling Regulation Act 2024 restricts licensed operators from allowing players to deposit using credit cards — a direct parallel to the UK restriction. But the restriction covers credit cards in the formal sense. It does not directly address personal loans drawn down for gambling, credit union borrowings used for gambling deposits, or deferred payment services used to fund accounts. The person who deposits from a bank account into which a personal loan has been transferred is not, in formal terms, gambling with borrowed money as the regulation defines it. In economic terms, they are.
The Central Bank of Ireland's consumer protection framework does not currently include specific provisions for identifying and addressing gambling-related consumer credit. Responsible lending obligations require lenders to assess borrowers' ability to repay, but the purposes for which credit is used are not part of the standard assessment. A personal loan application that does not disclose gambling losses as the primary driver of the application is not, on the face of the available evidence, subject to heightened scrutiny.
This gap between gambling regulation and consumer credit regulation is not unique to Ireland. It is a structural feature of regulatory silos in which the gambling regulator focuses on operators and the financial regulator focuses on lenders, and neither has full sight of the transaction chains that connect them. Closing it would require either a formal coordination framework between the GRAI and the Central Bank, or a legislative extension of one regulator's mandate into the other's territory. Neither of those is currently on the table.
What Better Data Would Actually Change
The argument for investing in better gambling-related debt data in Ireland is not primarily about understanding the scale of the problem, though that matters. It is about the specific interventions that better data enables.
If the GRAI's 2027 prevalence study includes a robust financial harm component — one that uses bank transaction data rather than self-reported surveys, and that samples from debt service users as well as from the general population — it will produce a picture of gambling-related financial harm that is substantially more accurate than what we currently have. That picture will almost certainly be larger than the existing estimates suggest. And a larger, better-evidenced picture changes the policy calculus on several questions that are currently being answered with inadequate data.
It changes the case for minimum deposit limits on gambling accounts — a measure that the Gambling Regulation Act 2024 gives the GRAI power to impose but has not yet exercised, pending evidence of need. It changes the case for gambling blocking tools that function at the payment infrastructure level rather than at the individual operator level. It changes the case for a mandatory levy on operators to fund debt counselling specifically for gambling-related cases — a provision that exists in the UK's treatment levy but has no direct Irish equivalent.
The number that the Citywide Drugs Crisis Campaign found — 23% of money advice cases involving gambling-related debt — is the beginning of a story that Irish policy has not yet fully decided to tell. The GRAI's existence makes it possible, for the first time, to tell it properly. The question is whether the research mandate translates into research that prioritises this question, and whether the political will exists to act on what that research finds.
The data is not an end in itself. It is the precondition for the interventions that would actually reduce the harm.