Foreign citizens and Italy's '43% of crime' claim

The claim compares a small population share with large crime figures

The post was published on 8 October 2026. Its written caption says foreign citizens are 9% of Italy's population but account for 43% of all crime, 60% of robberies and 69% of pickpocketing.

It asks readers to imagine 91 Italians and nine foreigners in a room. Later, it narrows the robbery claim to street robbery. That matters: street robbery is one type of robbery, and the narrower wording is a better match for the official table.

The caption gives no source or data year. Our review covers that written caption, not a complete independent transcript of the spoken video. The 2024 tables closely match some figures, but that does not prove they were the creator's source.

Sources: Mees Wynants on InstagramIstat

Some of the street-crime percentages match real police records

Istat, Italy's national statistics institute, publishes records about people reported or arrested by police as suspected offenders. It calls them presumed offenders. Here we use suspect records as a shorter description; suspicion is not proof of guilt.

For street robbery in 2024, the table contains 6,948 foreign-citizenship records out of 11,571 records for all citizenships. That is 60.0%. For pickpocketing, 5,057 out of 7,257 gives 69.7%. These are substantial shares of the suspect records, which can count the same person more than once.

The post's 60% street-robbery figure is supported for this measure. Its 69% pickpocketing figure is close: our calculation rounds to 70%. Without its exact source and rounding rule, that small difference is a poor reason to call the number invented.

For all robbery, the share is 52.4%. The caption begins with robberies generally but later specifies street robberies. A fair check should recognise that clarification.

Sources: IstatIstatRemix News

One crime can produce several suspect records

Imagine one robbery with three suspects. A table about suspects and a table about robberies would be counting different things. The same person can also appear again when reported for another offence.

Istat's rules allow repeat counts when a person is reported during the year for each offence. The table does not follow what courts later decide. It therefore counts neither different people nor convictions.

There is another gap: suspect records cannot assign citizenship to offenders whom police have not identified, or to crimes never reported. So 60% of street-robbery suspect records does not establish 60% of all street robberies committed. It is not a share of solved cases either.

Sources: IstatIstat

The recovered evidence does not support 43% of all crime

The Interior Ministry's broader 2024 figures count reports about people suspected of offences, whether they were arrested or reported to judicial authorities without arrest. Reports about foreign citizens total 287,704 out of 828,714, or 34.7%. This is still a share of reports about people, not a corrected percentage of all crimes committed.

Earlier reporting with a similar set of numbers used 43% for sexual offences. The Istat sexual-violence records we recovered give 43.8%. That resemblance is a lead about where the numbers may have come from, not proof that the creator changed a sexual-offence figure into an all-crime figure.

We found no matching evidence for the 43% all-crime claim. Because the creator's source and year are unknown, we cannot rule out every other statistic that might equal 43%. We also did not create an all-crime total by adding offence categories that overlap.

Sources: Italian Ministry of the Interior, hosted by the Chamber of DeputiesIstatRemix News

The 9% counts residents; the police table does not isolate them

The population figure is broadly right. Final census counts put foreign citizens at 8.91% of registered residents at the end of 2023 and 9.11% at the end of 2024. Both round to 9%.

But the police table groups records by citizenship, without a resident-only filter. We cannot tell how many of the recorded suspects belong to the resident population used for the 9%. Temporary visitors, for example, are outside that resident total; their exact presence in these police records has not been recovered.

Citizenship also does not tell us ethnicity, birthplace, recent immigration or asylum status. Someone who has acquired Italian citizenship is not counted as a foreign resident simply because they migrated. Istat gives Italian citizenship priority for people with both Italian and foreign citizenship.

Sources: IstatIstatIstat

The room analogy cannot show how often foreign residents offend

The room analogy would make sense if the population and crime records described the same people, without the counting problems above. Its simple arithmetic is not the issue. The evidence does not establish those conditions.

A room with nine foreign residents cannot represent police records that may count a person repeatedly and include people outside the registered-resident population. Comparing the percentages does not tell us the offending rate among foreign residents.

The recorded difference is substantial. We have not shown that accounting for age, sex, location, deprivation or other factors would erase it. Equally, the figures do not establish nationality as the cause. Answering those questions needs data describing comparable groups and a separate analysis.

Sources: IstatIstatIstat

What we checked and what could change the finding

Checked: the written caption, the recovered 2024 police tables, the counting rules and final resident-population figures. The street-crime percentages are largely supported for suspect records; the claim about all crime is not supported by the matching evidence.

Still unclear: the creator's exact source and year, the full spoken video and the exact earlier press extract. We also do not have a reliable rate of offending among foreign residents from these records.

If the original extract or the creator's source becomes available, we can reassess the figures. The Misleading framing label concerns turning suspect records into crimes committed and comparing unmatched populations. It makes no finding of deliberate deception.

Sources: Mees Wynants on InstagramItalian Ministry of the Interior, hosted by the Chamber of DeputiesIstatIstatIstatIstatRemix News

The story, in order

Sources you can check

• Original written caption by Mees WynantsMees Wynants on Instagram / 8 October 2026The claim under review, including its later street-robbery qualification.
• Police activity and public security: annual report for 2024, Doc. XXXVIII n. 3Italian Ministry of the Interior, hosted by the Chamber of DeputiesPrinted pages 5 and 8, PDF pages 6 and 9: overall reports and their matching foreign-citizenship counts. Printed page 6: separate robbery and theft figures.
• 2024 presumed-offender entries: published totals, flow 73_230 version 1.0IstatRaw national OFFEND observations. Our percentages divide foreign-citizenship entries by all citizenships in the same category.
• Censimento e dinamica della popolazione: Anno 2024Istat / 18 December 2025Final census counts: page 2, Prospetto 1, all residents; page 6, Prospetto 4, foreign residents.
• Foreign resident population: glossaryIstatGlossario definitions of Popolazione straniera residente and Straniero dimorante abitualmente.
• Attached metadata: presumed offenders and victims, DCCV_AUTVITTPSIstatOTHER_DATA_CHARACTERISTIC describes repeated counts, police recording and the absence of subsequent judicial outcomes.
• Earlier reporting with the 43%, 60% and 69% patternRemix News / 4 November 2025Reporting-chain lead only. Its 43% refers to sexual offences, not all crime.
• SDMX service documentationIstatOfficial access route for downloading data and structure files.
• Demographic dataflow and codelists, version 1.0IstatLabels for the offence, sex, age and citizenship codes; paired with the preserved demographic crosscheck data.
• Preserved Istat raw totals, retrieved 11 October 2026Istat; local evidence copyByte-preserved raw statistical service response.
• Selected source rowsTALLYCAT01 selection from Istat18 original rows for six offence categories; original fields and values retained.
• Recalculation and source packageTALLYCAT01 with attributed Istat dataOriginal totals, demographic data, structures, attached metadata, selected rows, hashes, method and Python calculation recipe.

This analysis uses official 2024 police tables and final census counts, retrieved and independently recalculated on 11 October 2026. Percentages are our calculations from matching published counts. No person-level data, matched resident rate or causal model was used. The accompanying timeline is compiled context, not independent proof.