Victims of crime
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- 1. Navigate to Main facts and figures section
- 2. Navigate toVictims of crime by ethnicity over time section
- 3. Navigate toVictims of crime by ethnicity and gender section
- 4. Navigate toVictims of crime by ethnicity and age group section
- 5. Navigate toVictims of crime by ethnicity and socio-economic group section
- 6. Navigate to Methodology section
- 7. Navigate to Data sources section
- 8. Navigate to Download the data section
1. Main facts and figures
- 14% of people in England and Wales were victims of crime in 2016/17 – a fall of 3 percentage points compared with 2013/14
- in 2016/17, a higher percentage of people from the Mixed and Black ethnic groups were victims of crime compared with White people
The ethnic categories used in this data
Where possible, this data is broken down by the 18 ethnic categories listed in the 2011 Census. There's a separate category for respondents whose ethnicity wasn't known.
The 2011 Census categories are as follows:
- English/ Welsh/ Scottish/ Northern Irish/ British
- Gypsy, Traveller or Irish Traveller
- Any other White background
Mixed/Multiple ethnic groups:
- White and Black Caribbean
- White and Black African
- White and Asian
- Any other Mixed/ Multiple ethnic background
- Any other Asian background
- Any other Black/African/Caribbean background
Other ethnic group:
- Any other ethnic group
The number of people from specific ethnic categories surveyed (the ‘sample size’) was too small to draw any firm conclusions when analysed by gender, age group and socio-economic group. Therefore, the data is broken down into the following 5 broad groups:
- Asian / Asian British
- Black / African / Caribbean / Black British
- Mixed / Multiple ethnic groups
- Other ethnic group
2. Victims of crime by ethnicity over time
|Ethnicity||2013/14 %||2013/14 Sample size||2014/15 %||2014/15 Sample size||2015/16 %||2015/16 Sample size||2016/17 %||2016/17 Sample size|
|Black other||withheld because a small sample size makes it unreliable||45||28||57||31||61||22||79|
|Mixed White/Black African||withheld because a small sample size makes it unreliable||46||withheld because a small sample size makes it unreliable||45||withheld because a small sample size makes it unreliable||44||13||56|
|Mixed White/Black Caribbean||29||120||29||98||21||135||20||121|
|White Gypsy/Traveller||withheld because a small sample size makes it unreliable||12||withheld because a small sample size makes it unreliable||10||withheld because a small sample size makes it unreliable||15||withheld because a small sample size makes it unreliable||21|
Summary of Victims of crime Victims of crime by ethnicity over time Summary
3. Victims of crime by ethnicity and gender
|Ethnicity||All %||All Number||Male %||Male Number||Female %||Female Number|
Summary of Victims of crime Victims of crime by ethnicity and gender Summary
4. Victims of crime by ethnicity and age group
|Age group||Asian %||Asian Number||Black %||Black Number||Mixed %||Mixed Number||White %||White Number||Other %||Other Number|
|65-74||14||360||8||165||4||62||9||15,889||withheld because a small sample size makes it unreliable||43|
|75+||13||147||7||142||withheld because a small sample size makes it unreliable||28||6||12,987||withheld because a small sample size makes it unreliable||29|
Summary of Victims of crime Victims of crime by ethnicity and age group Summary
5. Victims of crime by ethnicity and socio-economic group
|[None]||Asian %||Asian Number||Black %||Black Number||Mixed %||Mixed Number||White %||White Number||Other %||Other Number|
|Managerial and professional occupations||20||1,653||20||806||32||339||16||32,267||22||196|
|Routine and manual occupations||16||1,467||17||1,004||22||311||15||33,752||16||177|
|Never worked and long-term unemployed||13||602||12||235||18||57||18||2,848||16||106|
|Full time students||18||423||21||223||25||101||22||2,463||7||106|
|Not classified||withheld because a small sample size makes it unreliable||42||withheld because a small sample size makes it unreliable||25||withheld because a small sample size makes it unreliable||5||14||508||withheld because a small sample size makes it unreliable||2|
Summary of Victims of crime Victims of crime by ethnicity and socio-economic group Summary
CSEW estimates are based on analysis of structured face-to-face interviews carried out using computer-assisted personal interviewing. In 2016/17, 74% of respondents completed the survey.
The CSEW is a household sample survey. Estimates are based on a representative sample of the population of England and Wales aged 16 and over. A sample, as used in the CSEW, is a small-scale representation of the population from which it is drawn.
Weighting is used to adjust the results of a survey to make them representative of the population and improve their accuracy.
For example, a survey which contains 25% women and 75% men will not accurately reflect the views of the general population, which we know has an even 50/50 split. Statisticians rebalance or ‘weight’ the survey results to more accurately represent the general population.
Survey weights are usually applied to make sure the survey sample has broadly the same gender, age, ethnic and geographic make up as the general population.
The CSEW collects information from approximately 35,000 households each year. Since those responses reflect only a fraction of the total population of England and Wales, a process is used to give different weights to different households and individuals based on their sex, age and region, in such a way that the weighted distribution of responding household and individuals in these households matches the known distribution in the population as a whole.
First, weighting is applied to the raw data to compensate for:
- unequal address selection probabilities (given, some areas are more populated than others)
- the observed variation in response rates between different types of neighbourhood
- situations in which only one dwelling unit can be selected in multiple ‘dwelling unit' households
- different probabilities of a respondent being selected based on different sized households
Second, calibration weighting is used to make adjustments for known differences in response rates between different regions and between different age groups.
The National Statistics Socio-economic Classification (NS-SEC) categorises members of the adult public in the UK according to their occupational status.
The NS-SEC categories are:
- managerial and professional occupations
- intermediate occupations (clerical, sales, service)
- routine and manual occupations
- never worked and long-term unemployed
- full-time students
- not classified
Suppression rules and disclosure control
Estimates based on fewer than 50 respondents have been suppressed as they are less reliable.
Estimates in the charts and tables are given to the nearest whole number. You can see more detailed estimates (rounded to 1 decimal place) if you download the data.
Further technical information
Since the Crime Survey for England and Wales (CSEW) is based on a sample of the population, estimates have a margin of quantifiable and non-quantifiable error associated with them.
Non-quantifiable error includes:
- when respondents have recalled crimes in the reference period that actually occurred outside that period
- crimes that did occur in the reference period that were not mentioned at all (either because respondents failed to recall a fairly trivial incident or, conversely, because they did not want to disclose an incident, such as a domestic assault)
- respondents saying they reported crimes to police when they did not (a “socially desirable” response)
- some incidents reported during the interview being miscoded (‘interviewer or coder error’)
7. Data sources
Type of data
Type of statistic
Office for National Statistics
Purpose of data source
The Crime Survey for England and Wales (CSEW) is used alongside crime data recorded by police to provide the government with information about the extent and nature of crime in England and Wales.
The survey records all types of crimes experienced by people, including those crimes that may not have been reported to the police.
8. Download the data
This file contains the following: ethnicity, year, geography, gender, socio-economic status, value, denominator