In 2022, the New Orleans-Metairie, LA metro area recorded the highest homicide rate of U.S. cities with a population over 250,000, at 27.1 homicides per 100,000 residents, followed by the Memphis, TN-MS-AR metro area. However, homicide data was not recorded in all U.S. metro areas, meaning that there may be some cities with a higher homicide rate.

St. Louis

St. Louis, which had a murder and nonnegligent manslaughter rate of 11.6 in 2022, is the second-largest city by population in Missouri. It is home to many famous treasures such as the St. Louis Cardinals baseball team, Washington University in St. Louis, the Saint Louis Zoo, and the renowned Gateway Arch. It is home to many corporations such as Monsanto, Arch Coal, and Emerson Electric. The economy of St. Louis is centered around business and healthcare, and in addition is home to ten Fortune 500 companies.

Crime in St. Louis

Despite all of this, St. Louis suffers from high levels of crime and violence. As of 2023, it was listed as the seventh most dangerous city in the world as a result of their extremely high murder rate. Not only does St. Louis have one of the highest homicide rates in the United States, it also reports one of the highest numbers of violent crimes. In spite of high crime levels, the GDP of the St. Louis metropolitan area has been increasing since 2001.

In 2020, Memphis, TN-MS-AR reported 1,358.8 violent crimes per 100,000 inhabitants, the most out of any metro area in the United States. Monroe, LA followed closely behind, with a violent crime rate of 1,308.5 crimes per 100,000 inhabitants.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Marshall County, MS was 140.00000 Known Incidents in January of 2017, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Marshall County, MS reached a record high of 678.00000 in January of 2008 and a record low of 140.00000 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Marshall County, MS - last updated from the United States Federal Reserve on March of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Choctaw County, MS was 89.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Choctaw County, MS reached a record high of 101.00000 in January of 2011 and a record low of 53.00000 in January of 2014. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Choctaw County, MS - last updated from the United States Federal Reserve on March of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, MS was 253.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, MS reached a record high of 597.00000 in January of 2011 and a record low of 253.00000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, MS - last updated from the United States Federal Reserve on March of 2025.

These summary statistics show Crimes, Offences, miss conduct, damages etc for 2011-2015 for the Greater Geelong Region. This information was extracted from http://www.crimestatistics.vic.gov.au/ for …Show full descriptionThese summary statistics show Crimes, Offences, miss conduct, damages etc for 2011-2015 for the Greater Geelong Region. This information was extracted from http://www.crimestatistics.vic.gov.au/ for our LGA. Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong in their use.

Abstract

The concept of victimisation surveys (also known as International Crime Victim Survey (ICVS)) is well established in South Africa (SA) and internationally. Until recently the United Nations Interregional Crime and Justice Research Institute (UNICRI) coordinated and sometimes conducted the ICVS in developing countries. During the past two decades a number of surveys related to crime, crime victims and users of services provided by the safety and security cluster departments have been conducted by various service providers in South Africa. Besides these surveys, three national VOCS have been conducted. The first of these was the Victims of Crime Survey conducted in 1998 by Statistics South Africa. This survey was based on the ICVS questionnaire developed by UNICRI, with adjustments made for local conditions. The Institute for Security Studies (ISS) was responsible for conducting subsequent versions of the VOCS, the National Victimes of Crime Survey 2003 and the Victim Survey 2007.

Starting with the Victims of Crime Survey 2011, Statistics SA plans to conduct the VOCS annually. The ‘new’ Victims of Crime Survey (VOCS) series is a countrywide household-based survey and examines three aspects of crime:

• The nature, extent and patterns of crime in South Africa, from the victim’s perspective; • Victim risk and victim proneness, so as to inform the development of crime prevention and public education programmes; • People’s perceptions of services provided by the police and the courts as components of the criminal justice system.

The VOCS 2011 is comparable to the VOCS 1998, VOCS 2003 and VOCS 2007 in cases where the questions remained largely unchanged. However, it is important to note that the sample size for the VOCS 2011 is much bigger than any of the preceding surveys, and the data should be considered more reliable than the earlier surveys especially at lower levels of disaggregation.

Geographic coverage

The survey had national coverage

Analysis unit

The units of analysis in the study were individuals and households

Universe

The target population of the survey consisted of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey did not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design for the VOCS 2011 was based on a master sample (MS) originally designed as the sampling frame for the Quarterly Labour Force Survey (QLFS). The MS is based on information collected during the 2001 Population Census conducted by Stats SA. The MS has been developed as a general-purpose household survey frame that can be used by all household-based surveys, irrespective of the sample size requirement of the survey. The VOCS 2011, like all other household-based surveys, uses a MS of primary sampling units (PSUs) which comprises census enumeration areas (EAs) that are drawn from across the country.

The sample for the VOCS 2011 used a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. The sample was designed to be representative at provincial level. A self-weighting design at provincial level was used and MS stratification was divided into two levels. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification: household size, education, occupancy status, gender, industry and income. A randomised probability proportional to size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. The sample size of 3 080 PSUs was selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the inverse sampling ratios (ISR) of each PSU. The sample size for the VOCS 2011 is 29 754 dwelling units.

Mode of data collection

Face-to-face [f2f]

Research instrument

The VOCS 2011 questionnaire was based on the questionnaires used in the International Crime Victim Survey (ICVS) and previous VOCSs conducted by the Institute for Security Studies (ISS) and Statistics SA. The questions are covered in 27 sections and deal with the following topics:

Flap Demographic information (name, sex, age, population group, etc.) Section 1 Household-specific characteristics (education, economic activities and household income sources Section 2 Beliefs about crime Section 3 Individual and community response to crime Section 4 Victim support and other interventions Section 5 Citizen interaction or community cohesion Section 6 Perception of the police service Section 7 Perception of the courts Section 8 Perception of correctional services Section 9 Corruption experienced by the respondent Section 10 Experience of household crime (screening table) Section 11 Theft of car experienced by a household member(s) in the previous 12 months Section 12 Housebreaking or burglary when no one was at home in the previous 12 months Section 13 Theft of livestock, poultry and other animals in the previous 12 months Section 14 Theft of crops planted by the household in the previous 12 months Section 15 Murder experienced by a household member(s) in the past 12 months Section 16 Theft out of a motor vehicle experienced by a household member(s) in the previous 12 months Section 17 Deliberate damaging/burning or destruction of dwelling experienced by a household member(s) in the previous 12 months Section 18 Motor vehicle vandalism or deliberate damage of a motor vehicle experienced by a household member(s) in the previous 12 months Section 19 Home robbery (including robbery often around or inside the household’s dwelling) experienced by a household member(s) in the previous 12 months

Sections 20–27 of this questionnaire required that an individual be randomly selected from the household to respond to questions classified as individual crimes. The methodology used was to select a person 16 years or older, whose birthday was the first to follow the survey date. These sections collected data on:

Section 20 Experiences of individual crimes (screening table) in the past 5 years and in the previous 12 months Section 21 Theft of bicycle experienced in the previous 12 months Section 22 Theft of motorbike or scooter experienced in the past 12 months Section 23 Car hijacking (including attempted hijacking) experienced in the previous 12 months Section 24 Robbery (including street robberies and other non-residential robberies, excluding car or truck hijackings, and home robberies) experienced in the previous 12 months Section 25 Assault experienced in the previous 12 months Section 26 Sexual offences (including rape) experienced in the previous 12 months Section 27 Consumer fraud experienced by the individual experienced in the previous 12 months All sections Comprehensive coverage of all aspects of domestic tourism and expenditure

The final data files correspond to sections of the questionnaireas follows:

Person: Data from Flap and Section 1 (excluding Section 1.6 and 1.7) Household: Data from Section 1.7 and Section 10-19 Section 20-27: Data from Section 20-27

The VOCS 2011 is comparable to the previous VOCSs in that several questions have remained unchanged over time. Where possible, it was generally indicated in the report. However, it must be noted that the VOCS 2011 sample size was more than double of the previous surveys. The current survey can thus provide more accurate estimates than the previous surveys, for example at provincial level and for domain variables, such as gender and race. Caution should be exercised when running cross tabulation of different crimes by province and other variables as in most cases the reported cases were too few for this type of analysis.

Cleaning operations

Capture was undertaken on Epi-Info. A process of double capture was undertaken in order to eliminate capture error.