Free Resource
IMD Data
Royal Mail PAF
Ecommerce
Economic Crime Act 2023

UK Return Fraud
Postcode Map

We modelled return fraud risk for every UK postcode district using the ONS Index of Multiple Deprivation (IMD) and Royal Mail PAF rooftop geocode data. Find the highest-risk delivery areas before they cost your store money.

Risk scores are modelled indicators based on published ONS IMD data — not a record of actual fraudulent transactions. Use as one signal among many when setting delivery policies.  · Dataset last updated: Q2 2026.

£1.8bn

Annual cost of return fraud to UK retailers

2.5M+

Fraudulent return events per year (UK)

127

High-risk postcode districts mapped

Free

No account needed to explore the map

Highest Return Fraud Risk by Postcode District

Ranked by modelled fraud risk score (0–100). Filter by region to focus on your delivery areas.

#PostcodeAreaRegionRisk ScoreIMD PercentileLevel
1B10Small HeathBirmingham
92
95thVery High
2E13PlaistowLondon
91
93thVery High
3M8CollyhurstManchester
91
94thVery High
4B8Washwood HeathBirmingham
89
92thVery High
5L5EvertonLiverpool
89
92thVery High
6E6NewhamLondon
88
91thVery High
7B19LozellsBirmingham
88
91thVery High
8BD1Bradford CityBradford
88
91thVery High
9N17TottenhamLondon
87
90thHigh
10B11SparkhillBirmingham
87
90thHigh
11L4WaltonLiverpool
87
90thHigh
12E15StratfordLondon
86
87thHigh
13B18Winson GreenBirmingham
86
89thHigh
14L6AnfieldLiverpool
86
89thHigh
15TS1Middlesbrough CentralMiddlesbrough
86
89thHigh
16E7Forest GateLondon
85
89thHigh
17B9Bordesley GreenBirmingham
85
88thHigh
18M11OpenshawManchester
85
88thHigh
19BD3Bradford EastBradford
85
88thHigh
20E1Tower HamletsLondon
84
88thHigh

Showing 20 postcode districts. Full dataset available via API — see CTA below.

How We Calculate Return Fraud Risk

Three public and proprietary data signals combined into a transparent, reproducible model.

ONS Index of Multiple Deprivation (IMD)

We ingest the Office for National Statistics IMD 2019 dataset — the definitive English deprivation index, covering income, employment, health, crime, and barriers to housing. Each postcode district is ranked from 1 (most deprived) to 32,844.

Source: ONS / MHCLG, Crown Copyright

Royal Mail PAF Rooftop Geocode Density

We use our own rooftop geocoding API (built on Royal Mail PAF) to measure address density per postcode district. High density combined with deprivation correlates with elevated address fabrication and parcel interception risk.

Source: Royal Mail PAF, OS AddressBase

Return Pattern Normalisation

Return event frequency from our address enrichment API is normalised per 1,000 deliveries by postcode district. Districts with statistically elevated return rates relative to their retail category mix receive higher weighting.

Source: APITier address enrichment signals

Composite Risk Scoring

The three signals are combined into a 0–100 composite index using weighted linear scoring: IMD rank (50%), address density percentile (25%), return rate index (25%). Scores are updated quarterly.

Model version: v1.2, Q1 2024

Important: Risk scores are modelled indicators based on published government deprivation statistics and address density signals — not a record of actual fraudulent transactions at specific addresses or postcodes. This data should be used as one risk signal within a broader fraud prevention strategy. Blocking deliveries based solely on postcode may constitute discrimination under the Equality Act 2010. Always combine with per-order signals (account age, payment method, return history).
ECONOMIC CRIME & CORPORATE TRANSPARENCY ACT 2023

Why Return Fraud Is Now a Serious Legal Issue

New UK legislation places direct responsibility on retailers to have fraud prevention procedures in place.

Fraud Act 2006 Still Applies

Using a false identity to claim a refund, submitting fabricated proof of return, or exploiting a returns policy dishonestly remains a criminal offence under the Fraud Act 2006, with penalties of up to 10 years imprisonment.

ECCTA 2023: Corporate Liability Raised

The Economic Crime and Corporate Transparency Act 2023 introduced a new 'failure to prevent fraud' offence. Large retailers could be prosecuted if they lack reasonable fraud prevention procedures — including returns fraud checks.

Organised Retail Crime on the Rise

The British Retail Consortium 2024 Crime Survey found a 26% rise in organised retail crime. Returns fraud is increasingly coordinated — fake IMEI returns, wardrobing rings, and refund farming are now classified as organised criminal activity.

What "Reasonable Procedures" Looks Like

Under ECCTA 2023 guidance, "reasonable procedures" for returns fraud includes postcode-level risk signals, per-customer return rate monitoring, and third-party verification of high-value returns. This data is a starting point.

£1.8bn

Annual returns fraud cost to UK retail (BRC 2024)

+26%

Rise in organised retail crime year-on-year

10 yrs

Maximum sentence under Fraud Act 2006

2023

Year ECCTA introduced corporate failure-to-prevent offence

Add Return Fraud Risk Scoring to Your Checkout

Use our Address Agent API to score any UK postcode in real time. Block, flag, or require additional verification on high-risk orders — before you ship.

Risk score for any UK postcode via API — one call
IMD deprivation rank + address density signal
Batch lookup: score your entire customer list
Integrate with Shopify, Magento, WooCommerce
Combine with email + phone fraud signals
Updated quarterly — always current data

20 free requests included. No credit card required. Powered by Address Agent API.

Sample API Response

POST /v1/address/enrich { "postcode": "E13 8AB" } // Response includes: { "postcode": "E13 8AB", "fraud_risk_score": 91, "fraud_risk_level": "very_high", "imd_rank": 93, "delivery_risk": "high" }

The fraud_risk_score (0–100) and fraud_risk_level fields are returned on every address enrichment call. No extra setup required — it's part of the standard response.