France has over a thousand priority neighborhoods of urban policy (QPV), but the maps available online do not all tell the same story. Some focus on the administrative boundaries defined by the State, while others aggregate crime statistics recorded by municipality or department. Understanding what each mapping tool measures – and what it omits – helps avoid shortcuts between “priority neighborhood” and “dangerous neighborhood.”
Crime Data and QPV Boundaries: Two Distinct Frameworks
The mapping platforms that address insecurity in France rely on two main sources. The first is the official delineation of QPV, updated on January 1, 2024, by the ANCT and departmental prefectures based on INSEE data. The second is based on the statistical databases of the SSMSI (statistical service of the Ministry of the Interior), which record crime incidents by municipality and department.
These two frameworks do not mechanically overlap. A QPV concentrates indicators of poverty and low income, not necessarily a high rate of criminal incidents. Conversely, some municipalities outside QPV rank among the national hyper-hotspots for recorded crime, according to an analysis based on SSMSI data from 2023-2025 published in July 2026.
To cross-reference these two approaches, the information provided by Essentium compiles several indicators on the same interface, making it easier to read territorial data without limiting to just administrative boundaries.
| Type of Map | Main Source | What It Shows | Main Limitation |
|---|---|---|---|
| QPV Map (SIG Ville) | ANCT / INSEE | Boundaries of priority neighborhoods, facilities, 300 m band | Does not measure crime |
| Crime Map (SSMSI) | Ministry of the Interior | Recorded incidents by municipality and department | Variable underreporting depending on territories |
| Real Estate Reuses (data.gouv) | SSMSI + municipal data | Security indicators integrated into residential comparators | Low contextualization, possible anxiety-inducing effect |
QPV Redistricting 2024: What the New Map Has Changed Concretely
The decrees at the end of 2023 redrew the priority geography in several municipalities. In Vénissieux, for example, a decree from December 28, 2023, modified the contours of local QPV. This type of adjustment is not cosmetic: the placement of an address in a QPV conditions access to public programs (tax exemptions, association funding, urban renewal programs).
The SIG Ville platform allows users to verify if a postal address is located in a QPV. It also offers the overlay of the old 2015 boundaries and the new 2024 boundaries, making the evolution of the network visible.
Why Some Neighborhoods Exit the System
The method relies on an income criterion: the low-income threshold relative to the national median. A neighborhood whose income rises may exit the QPV zoning, even if other indicators of tension (youth unemployment, commercial vacancy) remain high. The single income criterion does not capture all forms of territorial fragility.
Conversely, neighborhoods previously off the radar may enter when local impoverishment intensifies. The 2024 redistricting thus expanded the priority perimeter in certain medium-sized urban areas, far from just the metropolises of Marseille or Paris.
Crime Maps Integrated into Real Estate Sites: A Rapidly Expanding Use
Since 2024, crime data has increasingly been integrated into neighborhood comparators and real estate platforms. Reuses hosted on data.gouv.fr directly feed residential advisory sites, creating a systematic link between security indicators, residential attractiveness, and insurance premiums.
This phenomenon alters the perception of territories well beyond the circle of urban policy specialists. A potential buyer consulting a neighborhood comparator in Toulouse or Montpellier now accesses burglary or assault statistics by municipality, often without methodological contextualization.
- SSMSI data count recorded incidents, not actual incidents: underreporting varies by territory and type of offense
- A high rate of recorded incidents may reflect denser police activity rather than greater insecurity
- Real estate comparators rarely present margins of error or collection biases, amplifying the anxiety-inducing effect of “red zones”
Hyper-Hotspots and Blind Spots: What Departmental Maps Do Not Show
The most consulted maps display crime at the departmental level. Paris and Bouches-du-Rhône consistently dominate these rankings, obscuring a more granular reality. A minority of municipalities concentrates the majority of recorded incidents within each department.
At the infra-municipal level, tensions crystallize around drug dealing points whose geography evolves rapidly. Le Monde documented in July 2026 the phenomena of “drug dealing point wars” as the epicenter of armed violence in several urban areas. This type of micro-concentration escapes departmental and even municipal maps.
Limitations of Current Mapping Tools
No public map reliably descends to the street or block level. The SIG Ville platform offers the finest mesh for QPV (with the 300-meter band around each neighborhood), but it does not address crime. Crime maps generally stop at the municipal level.
- The departmental scale drowns local disparities in unrepresentative averages
- The municipal scale ignores contrasts between neighborhoods in the same city
- The infra-municipal scale is only available for QPV boundaries, without associated security data
Cross-referencing multiple maps remains the only reliable method for obtaining a nuanced territorial reading. An address located in a QPV is not synonymous with danger, and a municipality absent from departmental rankings may harbor micro-zones of tension that only the field can confirm.