Scrape UK Bank Branch Closures 2020–2026

Author : iweb0303 iweb0303 | Published On : 08 Sep 2026

Scrape UK Bank Branch Closures 2020–2026: Mapping the Rapid Transformation of Britain’s Physical Banking Network

 

Introduction

 

The UK banking landscape has undergone a dramatic physical transformation since 2020. The acceleration of online banking, mobile applications, cashless payments, changing customer behaviour, rising operating costs and branch rationalisation have pushed banks to reassess the role of high-street locations. The strategy to Scrape UK Bank Branch Closures 2020–2026 provides a useful framework for studying this transformation through structured location, closure-date, bank, postcode and geographic datasets.

A long-term dataset makes the scale particularly visible. Which? reports that 369 branches closed in 2020, followed by 736 in 2021, 662 in 2022, 645 in 2023, 410 in 2024 and 433 in 2025. It currently lists 314 branches scheduled for closure in 2026.

This creates an especially valuable research opportunity because Bank networks ranked by branch shrinkage can reveal which institutions have reduced their physical footprint most aggressively, while UK financial services network intelligence can connect branch closures with population density, cash access, competitor presence and local economic activity.

The analysis is also relevant to businesses seeking to Extract UK bank branch closure data, monitor financial-service accessibility and identify locations where physical banking infrastructure is disappearing.

The Scale of UK Branch Network Reduction

 

The six completed years from 2020 through 2025 recorded 3,255 closures based on Which? tracking, while adding the 314 currently scheduled closures for 2026 takes the observed/scheduled total to 3,569. The 2026 figure should be treated differently because it represents scheduled closures rather than a completed full-year count.

2020: 369 closures (30.8/month), as the pandemic disrupted planned branch closure programs.

2021: 736 closures (+367 YoY), marking the strongest post-pandemic acceleration.

2022: 662 closures, with network reductions remaining exceptionally high.

2023: 645 closures, showing sustained structural branch reductions.

2024: 410 closures, reflecting a notable slowdown from 2021–23 levels.

2025: 433 closures (+23 YoY), indicating closure activity picked up again.

2026: 314 scheduled closures (26.2/month), representing announced plans rather than the final annual total.

2020–2025: 3,255 completed closures, averaging 45.2 closures per month over six years.

2020–2026: 3,569 completed and scheduled closures, combining observed closures with announced programs.

*2026 figures represent branches currently scheduled for closure and can change as banks announce, postpone or complete programmes. Source: Which? branch-closure tracking.

The most striking feature is the 2021 spike. Closure activity almost doubled from 2020 to 2021. Which? reported 736 closures in 2021, with 298 branches closing between June and August alone.

The pandemic therefore did not permanently reverse the structural shift. Instead, it temporarily delayed some closure programmes while simultaneously encouraging customers to become more comfortable with digital banking.

Bank-by-Bank Shrinkage Signals

 

A useful scraping project should not stop at counting closures. It should connect each closure to the institution responsible, the original branch network and the replacement service available nearby.

Which? identifies Barclays as the individual bank with the largest number of closures since its 2015 tracking began, at 1,236, while NatWest Group and Lloyds Banking Group have each closed more than 1,500 locations when their respective brands are combined.

The recent annual data demonstrates that leadership changes depending on the year.

Lloyds: 292 closures (2024–26), including 116 scheduled in 2026, giving it the largest share of planned closures (36.9%).

Halifax: 265 closures, with 88 scheduled in 2026, remaining one of the most active networks despite a slight decline.

NatWest: 206 closures, though 2026 plans fell to 33, marking the biggest reduction from 2025.

Santander: 135 closures, dropping from 95 in 2025 to 40 scheduled for 2026.

Barclays: 96 closures, with no scheduled closures announced for 2026.

Bank of Scotland: 83 closures, showing a small increase to 28 planned closures in 2026.

TSB: 36 closures, with no 2026 program currently scheduled.

Co-operative Bank: 3 scheduled closures, making it the only smaller bank adding new closures in 2026.

Listed Total: 1,151 closures (2024–26), with 314 scheduled for 2026 across all listed banks.

*Which?’s 2024 breakdown did not list Santander separately in the cited dataset.

**Figures and brand treatment vary between sources and group-level reporting. The table follows the bank/brand breakdown published by Which? for the respective periods.

The 2026 programme is particularly concentrated. Lloyds and Halifax together account for 204 of the 314 scheduled closures, or roughly 65% of the current total. This concentration is important for competitive mapping because the closure of several branches belonging to the same banking group can materially reshape local financial-service availability.

Why Are Banks Closing Physical Locations?

 

The underlying causes are both technological and economic.

First, customer behaviour has shifted dramatically. UK Finance data cited by Which? showed that 72% of adults used online banking and 54% used mobile banking in 2020.

Second, branch networks are expensive to maintain. Rent, staffing, security, utilities, technology and compliance create substantial fixed costs. When transaction volumes move online, the economics of operating a high-street site become harder to justify.

Third, branch consolidation allows banks to concentrate resources in fewer locations while investing in mobile apps, digital onboarding, contact centres and automated services.

The FCA has acknowledged that banks can transform their businesses in response to technology and customer behaviour, but expects firms to consider customers’ everyday banking needs and available alternatives when closing or significantly reducing services.

From Branch Data to Geographic Intelligence

 

The real value of UK banking network reduction analysis lies in transforming closure announcements into a geographic intelligence layer.

A structured method to Extract bank branch location data in UK project could capture branch name, bank, address, postcode, latitude, longitude, opening hours, announced closure date, actual closure date, branch status and alternative nearby banking facilities.

That information can then be combined with demographic and geographic datasets to identify communities experiencing disproportionate reductions in physical financial services.

The FCA’s access-to-cash research demonstrates why this matters. Its 2022 Q4 dataset recorded 4,565 branches belonging to larger banks and building societies providing personal current accounts, plus 906 branches from other banks and building societies.

A closure dataset can therefore become a much broader UK banking network model rather than simply a list of addresses.

Measuring the Broader Cash-Access Impact

 

Branch closures do not necessarily mean that every banking service disappears from a community. Customers may still have access to ATMs, Post Offices, mobile branches, banking hubs or cashback facilities.

The FCA recorded 38,726 free-to-use ATMs, 10,787 pay-to-use ATMs and 9,868 conventional Post Office locations in its 2022 Q4 coverage dataset.

This creates an important analytical distinction: bank branch reduction is not identical to total cash-access reduction.

However, the disappearance of a branch can still affect customers who require face-to-face assistance, businesses depositing cash, elderly customers, digitally excluded groups and consumers dealing with complex financial issues.

The FCA reported in its 2022 Financial Lives research that 19% of adults with a day-to-day account said a branch they regularly used had closed during the previous 12 months.

A Data Pipeline for UK Branch Closure Intelligence

 

A robust data collection system can monitor bank websites, closure announcements, branch directories, regulatory information, mapping sources and financial-service datasets.

The pipeline can capture:

• Bank and brand
• Branch name
• Full address
• Postcode
• Latitude and longitude
• Announcement date
• Planned closure date
• Actual closure date
• Closure status
• Nearby branches
• Banking hub availability
• ATM availability
• Post Office alternatives
• Opening hours
• Community service alternatives

Digital shelf analytics may appear unrelated to banking at first glance, but the underlying principle is similar: continuously monitoring distributed locations, identifying changes and converting fragmented public information into structured competitive intelligence.

Likewise, Financial and alternative data scraping can help combine branch information with property, demographic, business-density, transport and consumer datasets.

For organisations building this capability at scale, Web Scraping API Services can provide automated collection pipelines that deliver standardised branch records for downstream analytics.

A managed infrastructure model is also useful when banks frequently modify closure pages, branch directories or location structures. Managed web scraping can support recurring collection, monitoring, validation and dataset maintenance rather than one-time extraction.

The Rise of Banking Hubs

 

The disappearance of branches has also increased interest in banking hubs. LINK states that it had recommended 282 banking hubs as of 18 August 2026.

This introduces another valuable field for a branch-closure dataset: replacement infrastructure.

Instead of recording only “branch closed,” analysts can track whether the affected community subsequently receives a banking hub, whether another bank remains within a defined radius and whether cash services continue through alternative channels.

This makes the dataset considerably more useful for policymakers, financial institutions, property analysts and local businesses.

What the 2020–2026 Dataset Reveals

 

The numbers demonstrate that UK branch closures are not a short-term anomaly. The 2021 peak was followed by several years of sustained reductions, with more than 400 closures recorded in both 2024 and 2025.

The geographic dimension is equally important. A national total can conceal significant local differences. One town may retain several branches from different institutions, while another may lose its final bank and become dependent on Post Office services, ATMs or a future banking hub.

The most powerful analysis therefore combines when, where, which bank and what alternative exists.

A branch closure dataset can ultimately support location-risk scoring, competitor mapping, high-street analysis, cash-access modelling, financial inclusion studies and commercial site selection.

Conclusion

 

The UK banking network of 2026 is fundamentally different from the network that existed at the beginning of the decade. From 2020 through 2025, Which? recorded 3,255 branch closures, while its current 2026 schedule adds another 314 planned closures.

The opportunity for data-driven research is therefore substantial. Scraping branch announcements, historical locations, closure dates and alternative services can transform scattered public information into a continuously updated financial-services network dataset.

For banks, fintech companies, policymakers, researchers and location-intelligence providers, the objective should not simply be to count closed branches. It should be to understand the changing geography of access, identify communities facing the greatest network reductions and measure whether replacement services adequately compensate for lost physical infrastructure.

In that sense, UK branch-closure data is becoming more than a banking statistic. It is a strategic indicator of how Britain’s high streets, communities and financial-service ecosystem are being redesigned around a digital-first economy.

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