In 2024, violent crime in France declined to approximately ******* recorded offenses, marking a notable drop compared to previous years. According to police crime statistics, this represents a decrease of over ****** cases from 2023, when ******* violent offenses were reported. This decline contrasts with the consistent rise in violent crime since 2016, when police recorded just ******* offenses against the person.

In France, in April 2025, the most common type of offense reported to the police was non-violent robbery against persons, with ****** cases. Moreover, *** armed robberies were committed during that time.

In France, in 2024, there were *** homicides recorded by the security forces. The number of homicides recorded was the lowest in 2020. But it has increased continuously in the following years, reaching its highest level in 2023.

In France, in June 2025, police services recorded *** homicides in the last three months. Police services also recorded more than ***** thefts involving the use of a weapon, over 13,000 thefts without the use of a weapon, and ******* non-violent thefts.

This dataset supports the under-review article "Narratives of religious dissidence in medieval inquisition records: computing the representation and sequencing of crimes in Peter Seila’s register of sentences (1241–2)".

It is composed of three sheets, containing data derived from Peter Seila's register of inquisition sentences (Paris, Bibliothèque nationale de France, MS Doat 21, fols. 185r–324r).

1. A table of all crimes ("crimes" sheet; n=3789) narrated in the summaries of guilt in textual order.

• “crime_id": a unique identifier for each crime

• "suspect_id", "suspect_name": specifies the suspect i.e., the person in whose summary the crime appears

• "suspect_sex": records the sex of the suspect

• "region", "period": records the region and period in which the crime was recorded

• "crime_type": a variable based on the original Latin form/s of particular crime semantics; there are 143 such “crime types”, mostly describing various forms of contact with dissident ministers

• "crime_category": an analytical categorization (6 categories in total); based on the different forms of contact

• "dissident_minister_affiliation": a record of the sect affiliation of the crime, depending on the type of the dissident minister involved; "h" = heretici; "v" = valdenses, "b" = both, "u" = unaffiliated

• "recurrence": a recurrence category ("once", "multiple" or "being") capturing three levels of crime recurrence specification

• "aggravating_alleviating_circumstance": a record of any guilt contextualizaton ("aggravating", "alleviation" or "NA"), capturing whether there are any additional circumstances pertaining to guilt mentioned in the crime's narration

• "location_circumstance": a record ofwhether a location is specified in relation to the crime ("location" or "NA")

• "statement_text": the original text from which the coding of the crime derives

2. A table of all individual summaries of guilt in the register ("summaries" sheet"; n=649). Each summary describes the guilt of one person. The 7 textual summaries in the source referring to two people have each been rendered as two individual summaries. Parts of the table are a projection of the “crimes” sheet.

• "summary_id": a unique ID for each summary

• "suspect_id", "suspect_name": specifies the suspect of the summary

• "suspect_sex": records the sex of the suspect

• "region", "period": records the region and period in which the summary was recorded

• "crime_sequence": the sequence of crime types (individual crimes separated by spaces); derived from the data in the “crime_type” data in the ““crime” sheet, grouped by “suspect_id” and retaining textual order

• "sect_sequence": the sequence of crime sect affiliations (h = heretici; v = valdenses, b = both, u = unaffiliated); derived from the "dissident_minister_affiliation” data in the “crime” sheet, grouped by “suspect_id” and retaining textual order

• "recurrence_sequence": the sequence of crime recurrence categories ("once", "multiple" or "being" values separated by spaces); derived from the “recurrence” data in the “crime” sheet, grouped by “suspect_id” and retaining textual order

• "sequence_length": length of summary crime sequence (i.e., number of crimes within the summary)

• "crime_type_non-adjacent_reps", "seeing_and_seeking_non-adjacent_reps": the two types of non-adjacent crime repetitions defined in the article; derived from the sequence of crime types

• "narbonne_language_sequence": the rendering of the summary’s crime sequence in the crime language of the Narbonne Order interrogatory, performed in the manner described in the article

• “narbonne_number_sequence”: the rendering of the summary’s crime sequence as a series of numbers (separated by “_”) according to the place numbers of the associated crimes within the Narbonne Order interrogatory sequence

• "narbonne_conformity_index", "narbonne_conformity_index_vidit_segmented": the two types of Narbonne Order conformity index defined in the article

3. A dictionary of the crime types found in the register ("crime_dictionary" sheet, n=143).

• "crime_type": the crime type based on its Latin form/forms and meaning

• "crime_type_english": an English translation of the Latin crime type

• "crime_category": the crime category (out of 6 such categories) within which the crime type falls

• "crime_count": the count of each crime type within the register's summaries

• "narbonne_crime_equivalent": the Narbonne Order interrogatory crime to which we have associated it with for the purpose of the conformity analysis

• "narbonne_sequence_number": the place number (from 1 to 28) of the associated Narbonne Order interrogatory crime within the Narbonne Order interrogatory sequence

In April 2025, over ****** sexual offenses were reported to the police in France. Between 2020 and 2025, the number of reported sexual crimes steadily increased. For instance, around ***** cases were recorded in August 2020, rising to more than ****** by August 2024, the highest monthly total during the period analyzed.

In 2022, disputes and unaccepted separations were the main motives for the male perpetrators of domestic homicide. 29 men killed their spouses due to an unaccepted separation in that year. Unknown causes were also common, as well as jealousy. The number of women killed by their spouse has fluctuated in France since 2006 but has decreased overall. There were 148 in that year, compared to 118 in 2022. Spikes in the number of deaths of women by their partners were also recorded for the years 2007, 2012, and 2019.