Homicides of female victims

What you should know about this indicator
- UNODC collects intentional homicide data from criminal justice systems (law enforcement records) and public health systems (death certificates).
- Intentional homicide requires three elements: one person killing another, intent to kill or seriously injure, and the act was illegal. For example, a person who kills another in self-defence is not considered to have committed an intentional homicide as justifiable homicide in self-defence is not illegal.
- All killings that meet the criteria listed below are to be considered intentional homicides, irrespective of definitions provided by national legislations or practices.
- Terrorist killings are included as intentional homicides.
More Data on Homicides
Sources and processing
This data is based on the following sources
How we process data at Our World in Data
All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.
At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.
Notes on our processing step for this indicator
Values for the United Kingdom are calculated by Our World in Data from UNODC data for England, Wales, Scotland and Northern Ireland.
Rates for the most recent year are calculated using medium population projection estimates from the United Nations World Population Prospects.
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Citations
How to cite this page
To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:
“Data Page: Homicides of female victims”, part of the following publication: Bastian Herre, Fiona Spooner, Hannah Ritchie, and Max Roser (2013) - “Homicides”. Data adapted from United Nations Office on Drugs and Crime, United Nations, Various sources. Retrieved from https://archive.ourworldindata.org/20260325-171315/grapher/female-homicide-victims.html [online resource] (archived on March 25, 2026).How to cite this data
In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:
UN, World Population Prospects (2024); United Nations Office on Drugs and Crime (2025) – with minor processing by Our World in DataFull citation
UN, World Population Prospects (2024); United Nations Office on Drugs and Crime (2025) – with minor processing by Our World in Data. “Homicides of female victims” [dataset]. United Nations Office on Drugs and Crime, “United Nations Office on Drugs and Crime - Intentional Homicide Victims”; United Nations, “World Population Prospects”; Various sources, “Population” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260325-171315/grapher/female-homicide-victims.html (archived on March 25, 2026).Download
Quick download
Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.
Data API
Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.
Data URL (CSV format)
https://ourworldindata.org/grapher/female-homicide-victims.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/female-homicide-victims.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/female-homicide-victims.csv?v=1&csvType=full&useColumnShortNames=false")Python with Pandas
import pandas as pd
import requests
# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/female-homicide-victims.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})
# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/female-homicide-victims.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/female-homicide-victims.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/female-homicide-victims.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/female-homicide-victims.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear