Residential burglary in France, by department
In 2025, the French departments with the highest rate of residential burglary were Guyane (9.8 per 1,000 dwellings), Cher (9.3) and Ain (8.7). By number of cases the top three are Bouches-du-Rhône (8,586), Nord (8,501) and Rhône (7,153): a high count also reflects population size, not just risk.
How many home burglaries (cambriolages de logement) the police and gendarmerie record in each French department, overseas included, relative to the number of dwellings, with the change since 2024.
211,596home burglaries recorded in France in 2025 (sum of the 101 departments)
Highest values: per 1,000 dwellings
All the data
| Guyane | 9.8 | 984 | −5.3% | Guyane |
|---|---|---|---|---|
| Cher | 9.3 | 1,668 | +16.6% | Centre-Val de Loire |
| Ain | 8.7 | 2,899 | +3.1% | Auvergne-Rhône-Alpes |
| Isère | 8.4 | 5,695 | −6.9% | Auvergne-Rhône-Alpes |
| Bouches-du-Rhône | 8.0 | 8,586 | −14.0% | Provence-Alpes-Côte d’Azur |
| Haute-Garonne | 8.0 | 6,232 | −0.9% | Occitanie |
| Mayotte | 7.6 | 560 | +26.7% | Mayotte |
| Gironde | 7.4 | 6,906 | −12.7% | Nouvelle-Aquitaine |
| Loire | 7.3 | 2,993 | −1.5% | Auvergne-Rhône-Alpes |
| Rhône | 7.3 | 7,153 | −13.8% | Auvergne-Rhône-Alpes |
| Indre-et-Loire | 7.3 | 2,448 | −2.3% | Centre-Val de Loire |
| Loir-et-Cher | 7.2 | 1,360 | +5.3% | Centre-Val de Loire |
| Tarn-et-Garonne | 7.1 | 968 | +2.7% | Occitanie |
| Seine-Saint-Denis | 6.9 | 4,951 | −9.9% | Île-de-France |
| Vaucluse | 6.8 | 2,169 | −14.3% | Provence-Alpes-Côte d’Azur |
| Sarthe | 6.8 | 2,024 | +1.9% | Pays de la Loire |
| Nord | 6.7 | 8,501 | −2.5% | Hauts-de-France |
| Aube | 6.7 | 1,131 | +2.7% | Grand Est |
| Yonne | 6.5 | 1,309 | +14.9% | Bourgogne-Franche-Comté |
| Essonne | 6.3 | 3,760 | −6.5% | Île-de-France |
| Loire-Atlantique | 6.3 | 5,053 | −6.2% | Pays de la Loire |
| Hérault | 6.3 | 4,854 | −3.7% | Occitanie |
| Saône-et-Loire | 6.2 | 1,966 | +29.4% | Bourgogne-Franche-Comté |
| Meurthe-et-Moselle | 6.2 | 2,410 | +25.2% | Grand Est |
| Tarn | 6.2 | 1,362 | +14.9% | Occitanie |
| Seine-et-Marne | 6.2 | 4,019 | +1.8% | Île-de-France |
| Eure-et-Loir | 6.2 | 1,365 | +9.8% | Centre-Val de Loire |
| Lot-et-Garonne | 6.1 | 1,173 | +8.3% | Nouvelle-Aquitaine |
| Ille-et-Vilaine | 6.1 | 3,572 | +9.7% | Bretagne |
| Indre | 6.1 | 850 | +4.3% | Centre-Val de Loire |
| Marne | 6.1 | 1,846 | +3.8% | Grand Est |
| Drôme | 6.0 | 1,721 | +0.9% | Auvergne-Rhône-Alpes |
| Val-d’Oise | 6.0 | 3,207 | −5.9% | Île-de-France |
| Val-de-Marne | 6.0 | 3,985 | −7.3% | Île-de-France |
| Aude | 5.9 | 1,603 | −0.6% | Occitanie |
| Ardennes | 5.9 | 853 | −1.7% | Grand Est |
| Gard | 5.9 | 2,629 | −12.1% | Occitanie |
| Mayenne | 5.9 | 946 | +15.2% | Pays de la Loire |
| Nièvre | 5.9 | 832 | −3.0% | Bourgogne-Franche-Comté |
| Vienne | 5.8 | 1,441 | −11.0% | Nouvelle-Aquitaine |
| Puy-de-Dôme | 5.7 | 2,295 | −19.2% | Auvergne-Rhône-Alpes |
| Yvelines | 5.7 | 3,823 | −10.0% | Île-de-France |
| Moselle | 5.6 | 3,010 | +10.1% | Grand Est |
| Deux-Sèvres | 5.6 | 1,110 | +3.1% | Nouvelle-Aquitaine |
| Haute-Vienne | 5.6 | 1,247 | +17.3% | Nouvelle-Aquitaine |
| Haute-Savoie | 5.6 | 3,047 | +0.7% | Auvergne-Rhône-Alpes |
| Charente | 5.5 | 1,120 | −2.2% | Nouvelle-Aquitaine |
| Loiret | 5.5 | 1,971 | −5.4% | Centre-Val de Loire |
| Eure | 5.5 | 1,669 | −1.5% | Normandie |
| Lot | 5.5 | 668 | +20.4% | Occitanie |
| Morbihan | 5.5 | 2,672 | +16.0% | Bretagne |
| Aisne | 5.5 | 1,473 | −10.5% | Hauts-de-France |
| Oise | 5.5 | 2,099 | +6.9% | Hauts-de-France |
| Dordogne | 5.4 | 1,436 | +25.7% | Nouvelle-Aquitaine |
| Pas-de-Calais | 5.3 | 3,910 | +6.1% | Hauts-de-France |
| Allier | 5.3 | 1,118 | +7.7% | Auvergne-Rhône-Alpes |
| Gers | 5.3 | 598 | −27.3% | Occitanie |
| Orne | 5.2 | 858 | −13.0% | Normandie |
| Meuse | 5.2 | 518 | −5.6% | Grand Est |
| Haut-Rhin | 5.2 | 2,030 | +20.3% | Grand Est |
| Seine-Maritime | 5.1 | 3,358 | +3.5% | Normandie |
| Paris | 5.1 | 7,072 | −23.4% | Île-de-France |
| Var | 5.0 | 3,781 | −8.0% | Provence-Alpes-Côte d’Azur |
| Martinique | 5.0 | 1,094 | −0.5% | Martinique |
| Côtes-d’Armor | 5.0 | 1,879 | +48.3% | Bretagne |
| Guadeloupe | 4.9 | 1,167 | +1.8% | Guadeloupe |
| Côte-d’Or | 4.9 | 1,468 | +14.8% | Bourgogne-Franche-Comté |
| Charente-Maritime | 4.8 | 2,189 | −13.6% | Nouvelle-Aquitaine |
| Pyrénées-Orientales | 4.7 | 1,732 | −10.7% | Occitanie |
| Finistère | 4.7 | 2,606 | +16.9% | Bretagne |
| Hauts-de-Seine | 4.6 | 3,847 | −20.7% | Île-de-France |
| Bas-Rhin | 4.4 | 2,570 | +9.9% | Grand Est |
| Alpes-Maritimes | 4.3 | 3,398 | +6.1% | Provence-Alpes-Côte d’Azur |
| Pyrénées-Atlantiques | 4.2 | 1,803 | +4.3% | Nouvelle-Aquitaine |
| Landes | 4.2 | 1,145 | −8.3% | Nouvelle-Aquitaine |
| Hautes-Pyrénées | 4.2 | 692 | +30.8% | Occitanie |
| Maine-et-Loire | 4.1 | 1,662 | −14.8% | Pays de la Loire |
| Corrèze | 4.0 | 630 | +0.8% | Nouvelle-Aquitaine |
| Ardèche | 4.0 | 842 | +15.0% | Auvergne-Rhône-Alpes |
| Vosges | 4.0 | 855 | +8.6% | Grand Est |
| Savoie | 3.9 | 1,410 | +6.5% | Auvergne-Rhône-Alpes |
| Haute-Marne | 3.8 | 385 | −11.1% | Grand Est |
| Haute-Loire | 3.7 | 537 | +22.9% | Auvergne-Rhône-Alpes |
| Vendée | 3.7 | 1,632 | −15.7% | Pays de la Loire |
| Calvados | 3.6 | 1,575 | +0.7% | Normandie |
| Somme | 3.6 | 1,119 | −6.1% | Hauts-de-France |
| Ariège | 3.6 | 402 | −0.2% | Occitanie |
| Jura | 3.5 | 536 | +12.1% | Bourgogne-Franche-Comté |
| Haute-Saône | 3.5 | 451 | +12.5% | Bourgogne-Franche-Comté |
| Alpes-de-Haute-Provence | 3.4 | 447 | −19.7% | Provence-Alpes-Côte d’Azur |
| Manche | 3.2 | 986 | +5.0% | Normandie |
| Territoire de Belfort | 3.2 | 234 | +21.9% | Bourgogne-Franche-Comté |
| Creuse | 3.1 | 276 | −2.8% | Nouvelle-Aquitaine |
| Aveyron | 3.0 | 558 | −3.5% | Occitanie |
| Doubs | 2.8 | 805 | −9.0% | Bourgogne-Franche-Comté |
| Hautes-Alpes | 2.3 | 318 | −5.4% | Provence-Alpes-Côte d’Azur |
| La Réunion | 2.3 | 904 | +2.7% | La Réunion |
| Cantal | 2.2 | 229 | +15.1% | Auvergne-Rhône-Alpes |
| Lozère | 1.9 | 115 | +49.4% | Occitanie |
| Corse-du-Sud | 0.9 | 116 | −4.9% | Corse |
| Haute-Corse | 0.8 | 115 | −3.4% | Corse |
How to read these figures
- The rate is the one published by SSMSI, calculated per 1,000 dwellings from the INSEE census, not per 100,000 people, so it does not compare directly with our other data pages.
- These are offences recorded by police and gendarmerie where they took place. Victimisation surveys cited by SSMSI found that on average 74% of burglary victims reported it to the police between 2011 and 2018.
- The change is calculated on the number of burglaries; SSMSI uses the same dwelling count for both years, so the change in the rate is the same.
- For Mayotte the dwelling count dates from the 2017 census, so its rate is less robust than the others.
- Department and region names as in the INSEE 2026 official geographic code. Figures are by place of offence, not the victim’s residence.
Source: Ministère de l’Intérieur, SSMSI, Bases statistiques communale, départementale et régionale de la délinquance enregistrée par la police et la gendarmerie nationales (base départementale, édition juillet 2026) · Licence: Licence Ouverte / Open Licence 2.0 · Data retrieved on