Singapore scam statistics for the first half of 2026 record 16,821 reported scam cases and S$410.6 million lost — a 14.4% fall in cases and a 17.9% fall in losses against the first half of 2025, per the Singapore Police Force’s official Mid-Year Scam and Cybercrime Brief. The aggregate improvement is real, but the composition inside it is brutal reading for businesses:
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investment scams still cost the most (S$169.8 million) while business email compromise exploded 193.1% to S$57.3 million, and 8 in 10 victims still handed money to scammers voluntarily. This Singapore scam statistics hub assembles the full verified picture: the five-year trend line, every major scam type with cases and losses, the demographics regulators watch, the enforcement machinery behind the numbers, and — because WorldNgayon reads every dataset for the Filipino and OFW angle — what a Singapore scam statistic costs a Filipino working or transacting across the corridor.
The headline numbers at a glance
The Singapore scam statistics headline figures frame everything. Scam cases fell to 16,821 (from 19,644 in 1H 2025 — down 14.4%). Total losses fell to S$410.6 million (from S$500.2 million — down 17.9%). Cases involving S$100,000 or more fell 24.5%. The median loss per case fell 19.8% to S$1,350. Every headline arrow points down — yet the same brief shows investment scams down but still the costliest type, government-officials impersonation down but still S$90.8 million, and the e-commerce scam count up 19.3% to 3,865 (the highest of any type). Improvement concentrated where enforcement and platform controls focused; growth continued where everyday shopping happens.
The five-year trend: S$342.1M → S$309.4M → S$522.4M → S$500.2M → S$410.6M
Context in the Singapore scam statistics five-year series: after the S$522.4 million peak of 1H 2024, Singapore’s scam losses have now declined for two straight first-half readings.
The SPF attributes the drop to three working mechanisms: implementation directives issued to Apple, Google and Meta against impersonation scams; the expanded Facility Restriction Framework (now blocking new digital-token payment account registrations and restricting Singpass usage for high-risk registrations); and the Scam Analytics and Tactical Intervention System (SATIS) scaling proactive website takedowns. The disruption numbers behind the decline: 47,500 scam-related mobile lines, 37,500 WhatsApp lines, 31,600 online monikers and 52,200 malicious websites taken down in six months. A national machine at full output produced a national decline — that cause-and-effect chain is the report’s quiet argument.
The S$330.3 million top-ten breakdown: every major type, cases and losses
Every Singapore scam statistics table starts with the top ten — with 1H 2025 comparisons (the top ten account for S$330.3M of the S$410.6M total): Investment scams — 2,256 cases (from 2,692), S$169.8M (from S$178.9M), average loss S$75,267, still the costliest type and still the one that empties retirement savings. Phishing scams
— 3,104 cases (from 3,772), S$9.6M, average S$3,108 — the volume channel whose individual losses are small but whose credential harvest feeds every other type. Government officials impersonation — S$90.8M (from S$132.9M, down 31.7%), the senior-heavy type where 40.8% of victims are 65+ and the average elderly loss across all scams now hits S$42,347. Job scams — 2,247 cases (from 2,717), S$34.9M (from S$64.0M), average S$15,534. E-commerce scams — 3,865 cases (up 19.3%), S$8.3M (up 18.9%). Rounding the ten: loans S$2.1M, internet love scams S$8.4M (average S$22,709), fake friend call scams collapsing 66% to S$818K, sexual services scams S$1.5M — each row a different family’s bad week.
The outlier: business email compromise multiplied fivefold
The Singapore scam statistics steepest line: BEC losses jumped from S$19.5 million to S$57.3 million — a 193.1% surge that makes corporate email fraud one of Singapore’s five costliest scam types overnight. BEC does not run on greed or urgency gimmicks aimed at consumers; it runs on trust in ordinary work flows — the supplier’s updated bank details, the CFO’s instruction on a Friday, the invoice thread nobody wants to interrogate.
Every case is a company losing money, and no consumer-safety campaign reaches the victim. Singapore’s own response shows the shape of defense: verification callbacks through independently confirmed channels before any transfer, and — the policy lever — the Banking Services Code and verification features now marketed to firms. For Philippine readers in BPO, remote finance and OFW-managed family businesses, the BEC surge is the single most transferable warning in the brief: the scam that hit Singapore’s companies in 2026 does not need a Singapore office.
Who loses what: the demographic map the SPF tracks
Most scam victims in the Singapore scam statistics were aged below 50 — 30-to-49 year-olds made up 36% of victims, falling hardest for e-commerce, phishing and job scams.
Only 14.4% of victims were 65+, but that group’s average loss of S$42,347 per victim is the highest of any age group and has risen from S$35,374 — elderly Singaporeans are targeted less but lose more per hit, concentrated in impersonation scams (23% of elderly cases) and investment scams (22.2%). The pattern writes the policy: volume protection for the young (transaction limits, e-commerce platform codes), depth protection for the old (money lock, default limits for new digital token signups). The SPF’s own math on the loss profile: 69.5% of cases lost under S$5,000, but 4.7% of cases — roughly one in twenty — lost at least S$100,000.
The recovery engine and the gaps it cannot close
The Anti-Scam Centre’s six-month output: S$97.7 million recovered (over S$89.7 million fiat, over S$8 million cryptocurrency) plus at least S$127.1 million in potential losses prevented through interventions with mid-transfer victims. Enforcement caught up downstream too: more than 2,900 money mules and scammers investigated, at least 470 charged; convicted caned offenders received one to three strokes plus an average 26-month sentence.
The National Scams List trial found that for every scam-linked account shared with participating banks, at least one additional previously unreported account got disrupted. Yet the brief’s own honesty stands above the scoreboard: 8 in 10 victims still voluntarily handed money over — the machinery recovers money after trust fails, but the first line of defense remains the person at the transfer screen.
The consumer wave underneath: couriers, cheap deals, Pokémon
Three consumer-facing surges explain where the remaining Singapore scam statistics losses flow. where the remaining losses flow. First, the iMessage courier wave: since messaging-platform scams fell, the SPF documented an ongoing run of phishing via Apple iMessage — fake courier notices from overseas numbers, a small re-delivery fee, card details, then OTP-tricked wallets added to Google Pay or Apple Pay. Second, the paid-social phishing surge:
from July 2026, at least 246 cases and S$1.4 million lost to fake low-price ads on Facebook, Instagram and TikTok redirecting to phishing storefronts (the October police advisory — separate period from the mid-year brief, and a signal of what H2 looks like). Third, the Pokémon card mania: pre-order scams spiked card cases 116.8% to 605 with losses up 172.4% to S$1.2 million — 15.7% of all e-commerce scam cases, driven by a pre-order trend the SPF says victims join before stock even exists.
The Singaporean reader’s action sheet
Five verified defenses, all in the Singapore scam statistics: activate money lock on internet banking; set transaction limits consistent with real spending; activate the free block-all-international-calls-and-SMSes feature every telco now offers (already on for 1.3 million+ subscribers); use ScamShield’s app, helpline 1799 and the 310,000-call track record; and check the new E-Commerce Scam Situation Report before buying — it ranks the top ten platforms by reported scam losses, turning the government’s data into a checkout habit. For messages: the gov.sg Sender ID system has sent 360 million SMSes with zero scam messages through the channel — the ‘gov.sg’ badge is now the simplest legitimacy check Singapore has ever built.
How Singapore moves the scam numbers: the platform levers
The 2025-2026 decline runs on levers most countries still lack. The Implementation Directives to Apple, Google and Meta made impersonation protection a platform obligation, not a plea. The Facility Restriction Framework expanded in 2026 to block new digital-token payment account registrations from at-risk profiles and to restrict Singpass use for registering high-risk services — bank accounts, mobile lines, corporate entities — cutting the mule supply chain at onboarding.
The gov.sg single Sender ID consolidated every agency’s SMS into one verified channel (98.5% of agency use cases; zero scam SMSes through it ever). Each lever is verifiable in the brief, and each is a policy export the Philippines’ own telco-bank-platform coordination can price. The trend line bends where the levers attach — that is the transferable engineering insight of the entire Singapore scam statistics dataset.
The cybercrime sibling: the other 1,570 cases
Total scam-and-cybercrime cases fell 17.9% to 18,391 — meaning cybercrime proper ran at roughly 1,570 cases, outside this page’s scam arithmetic but inside the same brief. Singapore’s malware story complicates the clean scam decline: the CSA’s own 2025/2026 landscape report documents infected systems more than doubling, driven by Malware-as-a-Service economics and unpatched consumer IoT firmware — the same patch-debt problem this site tracked in the Fortinet alert cluster and the Roundcube wave behind the Simba breach. Two halves of one national picture: scams bend down under enforcement; the malware floor rises under neglect. A reader who leaves this page with only the good line is reading half the Singapore scam statistics.
The corridor lens: what these numbers mean for Filipinos
Reading a Singapore scam statistics dataset twice — once for the source country, once for the corridor. Three transfers land cleanly. One: the Philippines’ own scam economy reads the Singapore scam statistics’ BEC surge as a forecast — Filipino accounting staff, BPO finance teams and OFW family businesses transacting with Singapore suppliers sit in the same trust workflows.
Two: the NRIC-class identity row is the connector — the Simba breach (23,549 rows including NRIC numbers) feeds exactly the impersonation scams the Singapore scam statistics price exactly the impersonation scams driving Singapore’s S$90.8 million, and Filipino workers with Singpass-adjacent accounts or local bank relationships face the same identity-kit risk. Three: the money-lock model is exportable advice — Philippine banks’ own card-lock and transaction-limit features run the same logic Singapore codified, and an OFW guarding a remittance should know the feature exists under different names. The statistics are Singapore’s; the habits cross borders by design.
Reading the brief as a system, not a scoreboard
Step back from the rows and the 2026 brief describes a functioning national system with visible seams. Enforcement: caning and 26-month averages — punishment designed to be reported. Disruption: SATIS plus facility restrictions cutting supply before demand arrives. Recovery: S$97.7 million pulled back inside six months by a dedicated centre — the world’s most financed anti-scam enforcement shop — a fact the Singapore scam statistics underline every release doing exactly what it was built for.
The seams: BEC corporate losses quintupling outside consumer protection; elderly average losses still rising; eight in ten victims still reaching for the transfer themselves. A system cannot make choices for people; it can only remove the enablers from the scammer’s side and shorten the recovery path on the victim’s side. That division of labor — what the state can and cannot do — is the quiet organizing principle of the whole brief.
For the corridor’s Filipino readers one more layer matters. OFW families in Singapore touch this economy as workers, tenants and remitters; some as the domestic employers the SPF’s helper-directives try to shield. The scams that reach them most often are the corridor variants — fake MOM notices, remittance-holding scams, impersonations of the agencies that regulate the very documents they live by. Those variants sit inside the same totals this Singapore scam statistics page reports; the brief’s per-type tables are where a family’s specific risk hides. Reading the aggregate is news; reading your row is protection.
All figures verified against the SPF Mid-Year Scam and Cybercrime Brief 2026 (released August 26, 2026) and the October 2, 2026 police advisory on social media phishing. Last verified: October 9, 2026.
How we track this hub
This page belongs to the WorldNgayon statistics pillar and is updated per major SPF release (the mid-year brief each August, the full-year release each February) with “Last verified” dating and no slug changes. Cross-referenced pages in the same pillar: the Philippine breach statistics hub and the Simba breach analysis — the corridor’s loss side and its attack side, kept on the same shelf.
