The government is launching a financial... war on the victims of its own policies via the credit score, subsequently branding them «deadbeats» and excluding them from economic life...
Entire social strata and millions of families face disenfranchisement from economic participation, turning into second-class citizens.
Those who do not secure a favorable credit rating in the «state Tiresias» risk not only bank loan disqualification, but being unable to rent a home due to low solvency marks, while private entities could deny services or impose higher charges due to an elevated «risk premium».
What is the credit score
A credit score is a numerical indicator deployed to capture the creditworthiness and financial reliability of an individual. It is not merely a registry of debts.
The algorithm evaluates variables of financial behavior and, based on them, projects the probability of an individual meeting obligations.
In Greece, the new state credit assessment system does not stop at recording outstanding debts.
The methodology incorporates statistical processing of historical datasets and machine learning algorithms to assess repayment capacity, repayment intent, and default probability.
The mechanism initially targets liabilities toward public sector bodies, while the new framework also establishes unified scoring, merging state data with records from private sector credit bureaus, carrying a distinctly Chinese administrative flavor compared to the US model where evaluations remain within private agencies.
The relevant Joint Ministerial Decision was published in the Government Gazette (FEK B 4422/20.07.2026).
What data enters the calculation
The state assessment of credit capacity draws upon economic behavioral records extracted from public sector databases.
The datasets encompass tax records, income, declared assets, total obligations, overdue liabilities, settlement arrangements, payment compliance, enforcement measures, foreclosures, and other indicators mapping a citizen's relationship with public debts.
The assessment factors in both the current balance and historical performance.
It examines, for instance, the volume and duration of overdue debts, arrears history, frequency of on-time settlements, restructuring compliance, auctions, and compulsory collections.
How data converts into a score
The calculation produces a numerical score mapped onto an evaluation tier.
For natural persons, the state credit rating establishes five distinct tiers:
- A: score of 520 and above, excellent creditworthiness and solvency.
- A-: from 465 to below 520, very high.
- B: from 380 to below 465, high.
- B-: from 260 to below 380, moderate.
- C: below 260, low.
These specific bands are set out in KYA 117786 EX 2026.
A second tier also operates.
The unified scoring structure merges public debt assessments with private credit bureau intelligence on non-state debt behavior. In this framework, natural persons are classified into six tiers: A, A-, B, B-, C, and D. Tier D designates exceptionally low credit standing.
Consequently, the frequently cited «six-tier scale» pertains specifically to the unified assessment, rather than the public rating based solely on state liabilities.
Not simply a «delinquent list»
This distinction carries weight for an additional reason.
At the start of 2026, millions of taxpayers featured as debtors on AADE registries.
Official AADE figures for January 1, 2026 record 3,764,592 debtors.
More than half, 1,900,949 individuals, carried obligations up to 500 euros.
Therefore, the gross count of debtors cannot be conflated directly with individuals assigned a low credit score.
The architecture evaluates behavioral patterns and the probability of default, rather than the mere presence of debt.
The scale of financial vulnerability in Greece
Here lies the critical baseline for evaluating the credit score rollout.
According to Eurostat figures, in 2024 43% of the population in Greece lived in households with arrears on mortgage payments, rent, or utility bills.
This constituted the highest rate across the EU, where the average stood at 9%.
The figure in Greece rose from 31% in 2010 to 43% in 2024.
The landscape remained uniform nationwide: across all four Greek statistical regions the rate exceeded 40%, with Central Greece recording 45.8%.
Concurrently, 43.8% of the Greek population was unable in 2024 to cope with unexpected financial expenses, compared to 30% in the wider EU.
ELSTAT figures further reveal that in 2025, 2.797 million individuals, or 27.5% of the population, faced the risk of poverty or social exclusion.
What changes with unified scoring
The primary shift lies in interconnecting state evaluations with private sector credit scoring bureaus.
The unified rating incorporates data regarding private debt liabilities and historical payment habits.
The objective is to produce a consolidated estimate of default or insolvency risk.
Accessing an individual's private credit report requires the citizen's express and specific consent, with the issued rating remaining valid for three months.
The question of how the score will be applied
The institutional framework establishes a mechanism designed for financial risk evaluation and default estimation.
The unresolved question centers on where and how extensively this score will be deployed.
European legislation already recognizes that credit ratings can influence domains far beyond loan approvals. The EU AI Act designates systems evaluating creditworthiness or establishing credit scores of natural persons as high-risk applications, highlighting impacts on access to finance, housing, electricity, and telecommunications.
This does not mean the Greek framework currently bars anyone from leasing, utilities, or phone subscriptions due to a poor score.
It indicates, however, that the European Union treats the expansion of credit scoring systems as an intervention with substantial implications for everyday civic life.
Housing as the primary stress test
The issue becomes particularly acute in the residential market.
Greece occupies an extreme position regarding housing costs and payment delays.
In 2024, 43% of the population lived in households with arrears on rent, mortgages, or utility bills.
What happens if property markets adopt a prospective tenant's credit score as an assessment metric?
Will individuals with lower ratings be forced to provide higher rental deposits?
Will they face adverse contract terms or outright lease denials?
While the domestic framework does not mandate such practices, European directives categorize housing access as a sector vulnerable to automated scoring distortions.
Utilities and telecommunications
The same logic extends to basic utility services: electricity, telephony, and broadband access.
If an enterprise possesses the capacity to assess a customer's financial risk profile, the dilemma concerns not merely whether service is offered, but under what terms.
Will providers demand inflated deposits, upfront payments, or alternative billing schedules?
Or, in extreme cases, refuse service entirely?
A clear boundary exists between the current statutory framework and prospective market adoption. No regulatory mandate directs the new Greek score to shut off utilities or phone services automatically.
Yet European regulatory consensus explicitly recognizes that scoring mechanisms can restrict access to fundamental services.
Protections against erroneous scoring
Data privacy protections represent the primary counterbalance against algorithmic overreach, addressing concerns of a financial «Big Brother» dictating public and private transactions.
Article 22 of the GDPR provides legal safeguards against decisions based solely on automated processing that produce significant legal consequences for an individual.
Under specific parameters, it guarantees rights to human intervention and avenues to contest algorithmic determinations.
Furthermore, the Court of Justice of the European Union has directly ruled on credit scoring practices.
In litigation concerning automated credit evaluations, the Court affirmed that citizens maintain the right, under GDPR provisions, to obtain meaningful information regarding the logic underpinning their credit profiles.
This safeguard ensures that an algorithm's output does not reduce a citizen to an uncontested metric.
Individuals must retain the right to inspect underlying data, rectify inaccuracies, and formally challenge findings, mitigating risks of arbitrary commercial exclusion.
The broader threat of socioeconomic exclusion
With millions of registered debtors and widespread financial pressure across households, credit scoring operates as more than a technical upgrade.
It functions as a structural policy shaping market participation, where vulnerable segments risk systemic marginalization under pejorative labels.
The defining measure of the system will not be its efficiency in grading reliable payers.
It will be whether it permits distressed economic actors an avenue to recover and participate fully in economic life.
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