Skip to main content
SearchLoginLogin or Signup

The Drop in Worry about Crime and Its Gender Gap: Trends in England and Wales from 1998 to 2019/2020

Using data from the Crime Survey for England and Wales, this research explores trends in worry about crime and its gender gap between 1998 and 2019/20. Worry about different types of crime follows a downward trajectory, with worries about car-related crimes showing the …

Published onOct 04, 2023
The Drop in Worry about Crime and Its Gender Gap: Trends in England and Wales from 1998 to 2019/2020


Using data from the Crime Survey for England and Wales, this research explores trends in worry about crime and its gender gap between 1998 and 2019/20. Worry about different types of crime follows a downward trajectory, with worries about car-related crimes showing the strongest decline. Although both men’s and women’s worries decline over time, the gender gap in worry about crime reveals a narrowing trend for crimes that involve physical interaction with the offender (e.g., assault or rape) due to women’s worries decreasing more rapidly than men’s. Potential reasons for the general downward trend include the steady decline in crime rates, the rise in security standards, and a shift in worry from traditional to newer forms of crime (e.g., cybercrime). Rising gender equality and women’s empowerment over the last few decades may explain the narrowing trend in the gender gap in worry about personal crime.

Keywords: Fear of crime; Temporal; Gender gap; United Kingdom; Survey; Victimisation


The experience of worrying about becoming a victim of crime has been an area of research in criminology, sociology, and psychology for decades. Worry about crime shapes many aspects of daily life, as heightened levels of worry can lead to anxious and avoidant behaviours (Shippee, 2012; Snedker, 2015). Due to these constraining effects of worrying about crime, researchers have devoted many resources to this research area to gain a better understanding of the phenomenon and its drivers. As a result, there are now a wide variety of theories and models that aim to explain why people worry about crime. One of the most consistent predictors of worry about crime is gender, with women reporting higher levels of worry than men across different types of crime (Fox et al., 2009; Haynie, 1998). Due to the widespread presence of the gender gap in worry about crime, the so-called ‘gender-fear paradox’ has received a lot of attention in academia, which ultimately led to the development of a variety of explanatory frameworks (May et al., 2010). The higher perceived vulnerability of women, the gendered socialisation of women as fearful individuals and the heightened risk of sexual assault that overshadows the worry about other types of crime are common explanatory frameworks of the gender gap (Henson and Reyns, 2015).

Despite the well-researched state of worry about crime, there is a large research gap that has yet to be filled. Most studies on worry about crime examine the phenomenon at a single point in time, while studies that investigate changes in worry about crime over time are scarce (Ditton et al., 2005; Hart et al., 2022). Therefore, the potential impact of macro-level social and political change on the phenomenon is not captured and neglected in contemporary research. Similarly, the gender gap in worry about crime suffers from a lack of longitudinal studies despite the ever-changing social and political climate (Haynie, 1998). The gender gap in worry about crime indicates that women are more likely than men to restrict their everyday behaviour, making the gender gap in this area a marker of gender inequality (May et al., 2010; Van Eijk, 2017). As other areas characterised by gender inequality have changed significantly over the decades, the gender gap in worry about crime may have undergone similar changes (Government Equalities Office, 2019; Ross, 2018). Haynie’s (1998) study, which ended in 1994, found a narrowing trend in the gender gap of worry about crime. Changes in the gender gap after 1994 remain unknown.

This study aims to contribute to this research gap by using data from the Crime Survey for England and Wales to explore changes in worry about different types of crimes and its gender differences from 1998 to 2019/20. As the gender gap in worry about crime is an indicator of gender inequality, the development of this phenomenon is an important aspect in need of further exploration.

Literature Review

Conceptualising worry about crime

Worry about crime has been a subject of criminological research for decades. Despite this long history of exploration, a universal definition of the phenomenon is still lacking. The term ‘fear of crime’ is predominantly used in academia and can be defined as ‘an emotional response to danger or threat of an actual or potential criminal incident’ (Henson and Reyns, 2015, p. 92). However, over the last few decades, many critical voices questioned the appropriateness of the term ‘fear’ and argued for a more fitting term to refer to general concerns and anxieties about the risk of victimization (Jackson and Gouseti, 2014). Hough (2004) argues that fear is a ‘mental event’ that describes the immediate cognitive, emotional and behavioural reaction to a threatening situation. Since measuring this time-specific mental event is difficult to implement in studies (Castro-Toledo et al., 2017), most research explores the overall tendency to worry about crime rather than the immediate reaction to fear-inducing scenarios. Hough (2004) recommends worry as a more appropriate construct to study constant mental states related to negative emotions about crime which are less affected by context-specific cues.

Current state of research on worry about crime

While there are many aspects that feed into the development of worry about crime as well as many theories aiming at explaining the phenomenon, the following three approaches are the most widely used in contemporary literature: (1) the vulnerability model, (2) the crime and justice model, and (3) the disorder model. According to the vulnerability model, worry about crime arises from a person’s perceived vulnerability to criminal victimisation (Snedker, 2015). This vulnerability is shaped by a myriad of factors such as age, gender, or employment, and can be subdivided into physical and social vulnerability (Skogan and Maxfield, 1981). The crime and justice model emphasises the importance of public perceptions of the criminal justice system as well as its efficacy and functionality (Box et al., 1988). Accordingly, worry about crime rises when trust in the police and the criminal justice system decreases as feelings of insecurity are heightened. According to the disorder model, worry about crime is explained by the signs of physical and social disorder that a person encounters in their everyday life (Brunton-Smith, 2011; Henson and Reyns, 2015).

Based on these widely accepted theories, the most common variables used to analyse worry about crime are a person’s age, gender, race/ethnicity, social class, previous victimisation, and education, as well as the racial heterogeneity and disorder of a neighbourhood (Bolger and Bolger, 2019; Gabriel and Greve, 2003; Rader, 2017). Previous research focusing on worry about crime has mainly used quantitative methods in the form of cross-sectional surveys (Hale, 1996). This allows for an analysis of the relationship between worry about crime and different variables at a given point in time. However, analysing changes in worry about crime over time tends to be neglected in research (Ditton et al., 2005). This approach could facilitate a more informed discussion of the development of worry about crime and potential social, economic, or political events as influential drivers.

Existing studies that explore trends in worry about crime demonstrate a variety of shortcomings which further limits such a discussion. For example, some studies have collected several years of data but analysed only a small region within a country, which makes generalising the findings for the whole country difficult, while others use only one or two indicators to measure worry about crime (Smeets and Foekens, 2017). The importance of using a more nuanced operationalisation of worry about crime that differentiates worry about different types of crime and uses a scale for measuring the intensity of worry is stressed by several researchers (Fox et al., 2009; Hart et al., 2022). In addition, some studies only collect data from a small number of years or use data from years that lie far apart. This limits the exploration of trends as there is not sufficient data to distinguish trends from normal fluctuation in data. For example, the study conducted by Van Dijk et al. (2007) uses data from five different years within a 16-year period.

Smeets and Foekens (2017) present one of the first studies to examine changes in worry about crime over a 25-year period (1989-2015) by using different databases with a variety of indicators and measurements of the phenomenon. They analyse changes in worry about crime for 121 countries and develop an international trend index, revealing a ‘fear drop’ in Northern Europe after 2005. While the index remains constant in the late 1990s, there is a sharp increase after 2001 until levels of worry fall again in 2005 (Smeets and Foekens, 2017). However, as the study does not analyse each country individually, it remains unclear whether worry about crime in the UK follows a similar pattern or whether other countries overshadow UK trends. Consequently, there is still a lack of research that explores changes and trends in worry about crime in England and Wales using a nuanced and consistent measurement over a long period of time.

Gender gap in worry about crime

One of the most prominent findings in worry about crime research is the difference between men’s and women’s worries, with women consistently reporting significantly higher rates of worry about crime than men (Fox et al., 2009; Haynie, 1998). In the literature, this phenomenon is referred to as the ‘gender-fear paradox’, as women show higher levels of worry despite lower victimisation rates, while men have low rates of worry with higher victimisation rates (May et al., 2010). Due to its seemingly paradoxical nature, the gender gap has undergone extensive research, with various theories proposed to explain the phenomenon. The most common approaches to understanding the ‘gender-fear paradox’ are the following: (1) the vulnerability model, (2) the gendered socialisation model, (3) the shadow of sexual assault thesis, and (4) the hidden nature of victimisation theory.

While the positive relationship between worry about crime and a person’s vulnerability is used to explain general levels of worry about crime, it is also a common approach for explaining the gender gap specifically. Since women generally have less physical strength and are socially disadvantaged due to patriarchal structures, they are associated with a higher physical and social vulnerability (Henson and Reyns, 2015; Johansson and Haandrikman, 2021). The media perpetuates and reinforces this association by over-reporting violent crimes involving female victims, which distorts the perception of victimisation likelihood and vulnerability (Cashmore, 2014; Jeanis et al., 2021).

The distortion of perceptions by the media that shapes gendered notions of vulnerability is part of the gender-specific socialisation which is discussed as another driver for the gender gap in worry about crime. Gender socialisation influences a person’s understanding of themselves and affects perceptions of safety and victimisation-likelihood (Cops and Pleysier, 2011). According to Rader and Haynes (2011), gendered worry about crime is shaped by a social learning process in which individuals internalise messages from peers, family, media, and other social actors. These messages are strongly gendered, emphasising women’s vulnerability (particularly concerning sexual violence) as well as the appropriateness of their worry about crime (Rader and Haynes, 2011).

The shadow of sexual assault hypothesis, proposed by Ferraro (1996), explores the types of crime that men and women worry about in more detail and posits that the threat of sexual violence is particularly crucial for women. Ferraro (1996) argues that women report higher levels of worry about crime because many forms of crime involve the possibility of sexual assault for women, leading to worries about sexual violence to overshadow worries about other crimes (Henson and Reyns, 2015; Hirtenlehner and Farrall, 2014; Rader and Haynes, 2011).

A final approach to the ‘gender-fear paradox’ is the idea that although actual rates of victimisation for women are roughly equal to those for men, some forms of victimisation are not taken into account in studies of worry about crime (Rader, 2017). Particularly in the realm of sexual violence, women’s victimisation often occurs in less severe forms on a daily basis (e.g., catcalling), leading to the normalisation of this victimisation and subsequently lower reporting rates (Walklate, 2017). Moreover, some forms of crime that disproportionately affect women are also highly underreported due to shame or fear (Fernández-Fontelo et al., 2019). Consequently, the perceived paradox may no longer seem paradoxical once all forms of female victimisation are recognised.

The gender gap has mainly been analysed using cross-sectional surveys. This phenomenon suffers from a lack of studies examining trends over time. Due to changing gender socialisations shaped by feminist movements and an increased focus on gender equality in Western societies, changes in the gender gap in worry about crime are a very important yet a severely underresearched topic. The study conducted by Haynie (1998) provides a unique piece of work in the field of worry about crime by assessing the changes in the gender gap between 1973 and 1994. The results show significantly higher rates among women throughout the two decades, reinforcing the prevalence of a gender gap in worry about crime over time. The analysis of changes in this gender gap shows a rather static and continuous state of worry about crime among women, while men’s worry fluctuates over the 22 years, with a sharp increase in levels between 1990 and 1994. This rise in worry about crime among men ultimately led to a narrowing of the gender gap. However, it remains uncertain whether and how the gender gap has changed since 1994.


The Crime Survey for England and Wales (CSEW)

The CSEW is a representative annual victimisation survey for England and Wales, which began in 1982 under the name ‘British Crime Survey’. Since April 2001, the CSEW has been a continuous survey, collecting data over the course of a whole year, starting in April and ending in March of the following year (Office for National Statistics, 2023). Prior to the implementation of the continuous data collection method in 2001, the CSEW conducted the interviews between January and July, covering only half of the year. The CSEW has used computer-assisted personal interviewing (CAPI) since 1994. We analyse data recorded since 1998 because most measures of worry about crime have been consistently included in the questionnaire since then. Table 1 presents details about sample sizes and response rates of the CSEW.

Table 1. Sample size and response rate of CSEW datasets from 1998 to 2019/20.


Sample size




Sample size


































































Source: Office for National Statistics (2023).

Measurement of worry about crime

The operationalisation of worry about crime has been one of the most contentious issues within the study of emotions about crime, leading to constant change and new, enhanced measures (Hart et al., 2022; Jackson, 2005). The CSEW has remained consistent in its operationalisation of worry about specific crime types since 1998, using the same wording for the questions each year, starting with ‘How worried are you about…’, followed by the specific types of crime (see Table 2). The questions range from inquiring about worries about property crime to personal crimes such as rape or assault, to newer forms of online crime. The last three questions in Table 2 addressing the worry about online crime were added in 2013/14 and later years due to the emergence of new crime opportunities in the digital realm (e.g., identity fraud). The question on worry about online crime was included in the survey from 2013/14 until 2017/18, while worry about having personal details used without permission has been inquired since 2014/15. The worry about being the victim of fraud was only added to the questionnaire in 2018/19. By employing a four-point Likert scale, the CSEW assesses the intensity of worry about crime. Participants are asked to choose between ‘very worried’ (1), ‘fairly worried’ (2), ‘not very worried’ (3), and ‘not at all worried’ (4) for each type of crime.

Table 2. CSEW questions on worry about crime

Crime type

How worried are you about…


… having your home broken into and something stolen?


… being mugged and robbed?

Car theft

… having your car stolen?

Theft from car

… having things stolen from your car?


… being raped?


… being physically attacked by strangers?

Hate crime

… being subject to a physical attack because of your skin colour, ethnic origin or religion?

Online crime

… being a victim of online crime?

Identity fraud

… your personal details such as your name, address, or bank account details, being used without your permission or prior knowledge?


… being a victim of fraud?

Data analysis

Data was accessed via the UK Data Service ( for each round of the CSEW. The scale of all variables of worry was reversed so that a higher value indicates stronger worry. ‘Not applicable’ responses were filtered out. Afterwards, the mean value and its corresponding 95% confidence interval were calculated for each of the ten worry variables in each round of the survey. To calculate the confidence interval, the margin of error, calculated from the standard deviation of the mean, was added to and subtracted from the mean of the specific worry score. Finally, a global average of all the worry variables that were asked throughout the entire 22-year period (i.e., all variables except cybercrime worries) was calculated to provide an overview of the general levels of worry per year. This was done by adding the means of all worries and dividing the sum by the number of means. The same procedure was done for female and male respondents separately. Finally, to gain a better understanding of the extent of the gender gap in each type of worry, the difference between women’s and men’s mean scores was calculated.

Changes in the mean worry scores between two or more years are only considered statistically significant if the confidence intervals of the respective years do not overlap. To assess the magnitude of observed changes, the relative percentage change between worry scores is calculated. This first stage of the analysis is complemented by methods aimed at exploring trends in the data. Due to the novelty of the questions on worry about digital crime, the number of data points for these types of worries is not sufficient for a thorough analysis of changes and trends. Therefore, worry about online crime is not included in the analysis outlined in the following. The Mann-Kendall (hereafter MK) trend test is applied to all worries about crime and to the gender gap for each worry about crime. The MK trend test is a non-parametric method typically used in trend research, whose power and significance do not depend on the distribution of the data (Hamed, 2009). The null hypothesis of the MK trend test proposes no trend in the data (i.e., the data is independent and randomly ordered; Hamed and Rao, 1998). Therefore, a statistically significant finding indicates either an increasing or decreasing monotonic trend in the data. The Kendall’s tau (τ) value indicates the direction of the trend, with a negative value meaning a decreasing trend and vice versa. A modified version of the MK trend test (i.e., modified MK trend test) to deal with autocorrelated data will be used in this study (Hamed and Rao, 1998). This modified test employs the block bootstrap method (2,000 bootstrap samples), which separates the time series data into blocks and resamples them to create bootstrap samples (Önöz and Bayazit, 2012). As the MK trend test can only reveal whether there is an increasing or decreasing monotonic trend in the data, the Sen’s slope estimator is applied to measure the magnitude of this trend (Sen, 1968). The value of the slope (Qi) is calculated as the change in the variable per year and therefore acts as an effect size for trends in the data. By revealing the change per year, the slope estimation is not a standardised effect size with a pre-determined interpretation of the results. Instead, the estimation facilitates the comparison of changes in each type of worry by revealing the slope of each trend.

All data manipulation and analysis were done using the software R (R Core Team, 2021). All code used in the analysis is published in a GitHub repository:


Changes in worry about crime

Figure 1 displays the changes in worry about different types of crime between 1998 and 2019/20, using the mean worry score for each variable per year and its respective 95% confidence interval. Comparing worry scores in 1998 with those in 2019/20, each type of worry shows a decreasing trend. The worries about rape (-33.47%) and car theft (-31.47%) show the largest reductions over the 22-year period, while worries about burglary (-19.4%) and racially motivated hate crime (‑10.78%) show the smallest overall declines. Across all types of crime, levels of worry are highest in 1998, after which all worries show a decreasing trend until 2004/05. After the initial drop in worry levels, there is a slight increase until 2007, followed by a further decline until 2010/11. After 2010/11, changes in worry are more stable but the downward trend remains. Worry about burglary has consistently remained the highest type of worry, while worry about racially motivated hate crime shows the lowest levels over the whole period. Worries about being the victim of mugging and assault decrease and fluctuate similarly over the whole period. Worries about car-related crimes also show similar downward trends, although worries about having something stolen from one’s car were more prevalent until 2013/14, when worries about car theft took over and showed higher levels.

Figure 1. Line graph containing changes in worry about different types of crime between 1998 and 2019/20

This first indication of a decreasing trend is supported by the MK trend test (Table 3). All worry variables have a statistically significant negative Kendall’s tau (highest p-value = 0.003), meaning that there is a negative monotonic trend in the data. Sen’s slope measures for the worry variables reveal the magnitude of the downward trends in worry. According to the test statistic, worry about car-related crimes shows the strongest decrease in worry per year (car theft: Qi = -0.034; theft from car: Qi = -0.025). The worry about burglary shows a weaker change over time than the worry about car theft or theft from a car, with a Sen’s slope of -0.015. The weakest decline over time is for the worry about being the victim of a racially motivated attack with an estimated decrease of 0.004 scale points per year. Finally, Sen’s slope estimates for personal crime (i.e., mugging, rape, and assault) range from -0.017 to -0.019, indicating a moderate declining trend compared to the other types of worry analysed.

Table 3. Modified MK trend test and Sen’s slope for changes in worry about different types of crime between 1998 and 2019/20

Worry about…

Modified MK trend test

Sen’s slope







Car theft



Theft from car









Hate crime






***p-value < 0.001, **p-value < 0.01

Changes in worry about cybercrime

Although worries about online crime as newer forms of crime are not the main focus of the analysis, a brief overview of their levels is presented. All three worries show higher levels of worry than worries about traditional forms of crime. The worry about personal data being stolen in particular is a more strongly experienced worry compared to the traditional types of crime. Another distinctive feature of worries about the different kinds of online crime is how they have changed over the short period in which they have been included in the survey. Worry about personal data being stolen shows a small decreasing change and only reveals a statistically significant change in mean worry scores when comparing the levels between 2014/15 and 2019/20. Worry about cybercrime, on the other hand, shows strong fluctuations, first exhibiting a statistically significant increase from 2013/14 to 2015/16, followed by a slight decrease the following year.

Changes in the gender gap in worry about crime

While changes in worry about crime follow similar decreasing trends, the gender gap shows more heterogeneous results. Figure 2 shows the size of the gender gap per year for each type of worry, whereby a value of 0 indicates a perfectly equal distribution between men and women (i.e., equal levels of worry). A first impression of the graph reveals that women have consistently higher levels of worry than men over the whole period and for most types of crime. All worries about crime, except for the worry about having something stolen from the car, demonstrate the largest gender gap in 1998. The worry about having something stolen from the car differs from the other worries in that it fluctuates around 0 over the 22-year period. This type of worry is the only worry for which scores before 2008 fall below 0, revealing a slightly reversed gender gap with higher scores for men. Worrying about rape is at the other end of the extreme as the type of worry with the largest gender gap of 1.2 scale points in 1998. However, while this type of worry demonstrates the largest differences between men and women, it also shows a strong reduction over time. Starting with a size of 1.2 scale points, the difference in worry between men and women shrinks to 0.73 scale points in 2019/20. Another peculiarity of this type of worry is the peak in 2012/13, which interrupts the narrowing trend of the gender gap for one year. There is also a narrowing of the gender gap for the worry of being mugged or assaulted. Worries about burglary, car theft and hate crime show fluctuations in the size of the gender gap over the period with no discernible trend in the data.

Figure 2. The gender gap in worry about different types of crime from 1998 to 2019/20

MK trend tests reinforce this visual impression of the presence and absence of trends in the gender gap for different types of worry (Table 4). While the test statistic for the gender gap in worries about burglary, car theft, and hate crime is not statistically significant, the gap in worries about rape notes a statistically significant negative Kendall’s tau (τ = -0.829, p < 0.001). This negative Kendall’s tau indicates a decreasing trend in the data, which can be supported by a Sen’s slope of -0.020. The narrowing gender gap in worries about being mugged and assaulted is also statistically significant with negative Sen’s slopes (mugging: Qi = -0.006, p < 0.001; assault: Qi = -0.011, p < 0.001). The MK trend test shows statistically significant results for the trend in the gender gap in worries about theft from the car, however, the trend detected is monotonically increasing (τ = 0.543, p < 0.001). Accordingly, the calculated Sen’s slope for this worry shows a widening trend in the gender gap with an increase of 0.003 scale points per year. There is a general pattern in the results for changes in the gender gap in worry about crime, in which the types of worry that have a wider gender gap in 1998 also reveal the most drastic changes in their width over the 22-year period. While the gender gap in worry about rape has the widest gender gap, it also marks the strongest reduction, whereas worries about being mugged or assaulted show a weaker declining trend in their gender gap.

Table 4. Modified MK trend test and Sen’s slope for changes in the gender gap in worry about different types of crime between 1998 and 2019/20

Gender gap in worry about...

Modified MK trend test

Sen’s slope







Car theft



Theft from car









Hate crime






***p-value < 0.001

Those worries about crime that demonstrate significant changes in the gender gap are examined in more detail to assess whether both men and women, or just one gender, contributed to the trend in the gender gap. This is done by calculating the modified MK trend test for men and women separately (Table 5). The results show statistically significant declining trends for both men and women for each type of worry. Since there is a narrowing trend in the gender gap, with the exception of the worry about having something stolen from the car, there must be a greater decline in worry about crime among women to lead to this finding. The worry about rape in particular confirms this assumption by revealing a decrease of -0.006 scale points per year for men while women’s worry declines more rapidly by -0.024 scale points per year. Worries about being attacked by a stranger and being mugged also show similar findings. The worry about having something stolen from the car appears as an outlier. Here, men show a slightly greater decline in worry (Qi = -0.028) than women (Qi = -0.023) over the two decades.

Table 5. Modified MK trend test and Sen’s slope for changes in worry about different types of crime between 1998 and 2019/20 separated by gender

Worry about…

Modified MK trend test

Sen’s slope





Theft from car













Theft from car









***p-value < 0.001

Changes in the gender gap for worry about cybercrime

The analysis of changes in the gender gap for worry about online crimes is carried out using the visual inspection of graphs. Worry about cybercrime has the smallest gender gap of the three variables and shows no trend, but rather a slight fluctuation over the five years. Similarly, the gender gap in worry about identity fraud shows some fluctuation, with a slight increase in size from 2018/19 to 2019/20. Lastly, worry about fraud, which has only been recorded in the last two years, reveals no notable changes in its gender gap.


Changes in worry about crime for the general population, and for men and women separately, demonstrate decreasing trends from 1998 to 2019/20, indicating an overall drop in worry about crime. The gender gap observed by many other researchers is also a consistent finding in this research over the 22 years and across most types of worry (Haynie, 1998; Reid and Konrad, 2004). In addition, some worries about specific crimes note a narrowing trend in their gender gap, with women’s worries about crime decreasing more drastically than men’s. These trends are discussed below in light of different explanations that may be associated with the patterns observed. First, the observed changes in worry about crime are compared with other scientific findings, after which three hypotheses are presented and discussed as possible explanations for the results. The same approach is then applied to the findings of changes in the gender gap, with two more explanatory hypotheses introduced. These hypotheses point towards areas in which future research is needed.

Changes in worry about crime

The analysis of changes in worry about crime reveals decreasing trends for the different types of victimisation, which partially supports the findings by Smeets and Foekens (2017). In the present research, worries about car-related crimes decline the strongest, while the worry about being the victim of racially motivated crime shows the smallest decline. The worry about racially motivated attacks notes the lowest levels among all types of worry. Based on previous research, three hypotheses are discussed as potential explanations of the decreasing trend in worry about crime.

Hypothesis 1: The crime drop

The crime drop describes the observation that the prevalence of different forms of crime has been declining in various countries since the 1990s (Farrell et al., 2011). Reductions in vehicle theft, domestic burglary, and personal crime in the UK may have had a spillover effect on perceptions of vulnerability and worries about victimisation (Grove et al., 2012; Hodgkinson et al., 2022). Crime trends dropped sharply in the late 1990s and then following a more moderate downward trajectory (Britton et al., 2012; Tseloni et al., 2017). This pattern mirrors the findings of this research as all the types of worry examined demonstrate the greatest decline from 1998 to around 2005.

Hypothesis 2: The security hypothesis

Related to the crime drop is the ‘security hypothesis’ proposed by Farrell et al. (2011). Farrell et al. (2011) argue that rising security standards in homes and cars led to a decline in car-related crime and domestic burglary (Tseloni et al., 2017). Enhanced security devices (e.g., burglar alarms) or having a car with high security standards may also lead to a sense of safety, and in turn fewer worries about car theft or domestic burglary (Loader, 1999). This argument can be supported by the findings of this study since worry about car-related crimes has decreased the most over the last two decades. Burglary as another property crime that would be covered by the theory shows a weaker, but still moderate downward trend. This hypothesis may be extended to other types of crime such as rape or assault in the public sphere by considering the increased use of CCTV and environmental designs aimed at preventing crime (Ceccato, 2020).

Hypothesis 3: A shift in worry about crime

The final potential driver of the decline in worry about crime is the idea that people are not worrying less about crime but that their worries have shifted to newer forms of crime (Zarafonitou et al., 2022). Due to advances in the technological sector, opportunities for crime in the digital realm are constantly increasing (Buil-Gil et al., 2021). As a result of rising rates of cybercrime, people may worry less about traditional forms of crime and shift their attention to the online world (Hille et al., 2015). Although worry about cybercrime has only recently been added to the CSEW, first insights into the worry about cybercrime reveal that both the worry about having personal details used without permission and about fraud have significantly higher rates than the worries about traditional forms of crime. As the CSEW began measuring worry about cybercrime in 2014/15, it is not known whether and how this type of worry changed in the period prior to its measurement. However, a survey from 2006 indicates that 70% of internet users from the United States perceived their victimisation likelihood to be higher for cybercrime than for physical forms of crime (Reisig et al., 2009).

Changes in the gender gap

The declining trend in worry about crime among the general population is also present when the population is broken down by gender, with both men and women reporting declining levels of worry about crime over the two decades. However, for personal crime (i.e., mugging, rape, and assault), women’s levels of worry show a stronger declining slope, resulting in a narrowing trend in the gender gap from 1998 to 2019/20. Therefore, Haynie’s (1998) observation of a narrowing gender gap from 1973 to 1994 can also be found after 1994. In Haynie’s (1998) study, however, men’s worries increased over the period while women's worries remained stable, which led to a narrowing of the gender gap. Based on the findings of the present study, there may be underlying causes for the declining trends in worry about personal crime that affect women more than men. In the following, the increased gender equality (hypothesis 4) and changes in gendered socialisation (hypothesis 5) are discussed as potential drivers of the observed changes in the gender gap.

Hypothesis 4: The rise of gender equality

The last few decades of UK history have been shaped by an increase in initiatives and policies enacted to tackle gender inequality and address issues of women’s rights or lack thereof (Ross, 2018). Policies such as the Equality Act 2010 or Shared Parental Leave and Pay have contributed to the rise in gender equality. The Gender Equality Monitor by the Government Equalities Office (2019) notes an increase in women’s participation in the workforce since 1992 and a narrowing trend in the gender pay gap since 1997. The report also highlights changing attitudes in British society, with the number of respondents agreeing with the statement that men should earn the money and women should look after the home and family decreasing from 1987 to 2017. The reduction of gender inequality may also have an impact on women’s worries about crime. As discussed above, the vulnerability model argues for a link between a person’s perceived vulnerability and their worries about crime. Since there has been a notable increase in female participation in the labour force and a trend towards a narrowing of the gender pay gap over the last two decades, this may have had an empowering effect on women and consequently on their worries about crime. However, gender equality has not yet been achieved, which may explain why there is still a significant gap between men’s and women’s worries about crime.

Hypothesis 5: Gendered socialisation

In line with the rise of egalitarian values, there has been a shift in the discourse surrounding women (van Eijk, 2016). While women were once portrayed as fearful and weak, characteristics of the ideal victim, there are now many advertisements and awareness campaigns targeting women that describe them as fearless, strong, and powerful (Abitbol and Sternadori, 2016). This empowering effect may have been reinforced by the increased representation of women in various roles that are considered counter-stereotypical due to the rise in gender equality and female labour force participation. However, while women find more empowerment in the narrative, they are simultaneously the recipients of traditionally gendered messages (e.g., do not walk alone at night), which may be a predictor for the still persisting gender gap (van Eijk, 2016). Furthermore, the practice of victim blaming as a way of reigniting worry about crime, especially sexual violence, by blaming women for their victimisation continues to affect women (Stubbs-Richardson et al., 2018).

The sharp increase in women’s worry about rape in 2012/13 appears to align with Operation Yewtree, which took place during four of the twelve months of data collection in 2012/13. Operation Yewtree was an investigation by the London Metropolitan Police into allegations of sexual abuse by television host and charity fundraiser Jimmy Savile. This strong media presence of the investigation exposed the population to exponentially more news about sexual violence, which may have led to elevated levels of worry about sexual crime (Turchik et al, 2016).


The aim of this research was to explore the trends in worry about crime and its gender gap in England and Wales from 1998 to 2019/20. All types of worry reveal a statistically significant declining trend over the two decades, with vehicle-related crimes showing the largest decrease. All remaining worries about the different types of crime demonstrate a moderate decline over time, except for the worry about being the victim of a racially motivated attack, which only shows a weak downward trend. These findings indicate that the British population is experiencing a steady decline in worry about the types of crime covered by the CSEW questionnaires. Possible reasons for these findings include the declining trend in crime rates over the same period, rising security standards leading to a greater sense of safety, and a shift in worries from traditional to newer forms of crime. Further research is needed to assess the adequacy of these hypotheses to explain the causes of the change in trends of worry about crime.

When shifting the focus to men’s and women’s worries about crime, all types of crime except for theft from one’s car demonstrate a consistent gender gap in worries over the whole period, with women reporting higher levels of worry than men. A narrowing trend in the gender gap is observed for worries about crimes that require physical interaction with the offender (e.g., mugging or rape). While both men’s and women’s worries about crime decrease over time, women’s worries about personal types of crime decline more strongly than men’s, which explains the narrowing trend in the gender gap. Increasing gender equality and subsequent changes in gender socialisation and narrative around gender are discussed as possible hypotheses to explain these findings, in turn highlighting important areas for future research.


Abitbol, A., and Sternadori, M. (2016). You act like a girl: An examination of consumer perceptions of “femvertising”. Quarterly Review of Business Disciplines, 3(2), 117-138.

Box, S., Hale, C., and Andrews, G. (1988). Explaining fear of crime. British Journal of Criminology, 28(3), 340-356.

Bolger, M.A., and Bolger, P.C. (2019). Predicting Fear of Crime: Results from a Community Survey of a Small City. American Journal of Criminal Justice, 44.

Britton, A., Kershaw, C., Osborne, S., and Smith, K. (2012). Underlying Patterns within the England and Wales Crime Drop. In J. Dijk, A. Tseloni and G. Farrell (Eds.), The International Crime Drop. New Directions in Research (pp. 159-181). London: Palgrave Macmillan.

Brunton-Smith, I. (2011). Untangling the relationship between fear of crime and perceptions of disorder: Evidence from a longitudinal study of young people in England and Wales. British Journal of Criminology, 51(6), 885-899.

Buil-Gil, D., Zeng, Y., and Kemp, S. (2021). Offline crime bounces back to pre-COVID levels, cyber stays high: interrupted time-series analysis in Northern Ireland. Crime Science, 10, 26.

Cashmore, J. (2014). The ‘fear of crime-media feedback’ cycle. Internet Journal of Criminology, 1, 1-19.

Castro-Toledo, F.J., Perea-Garcia, J.O,, Bautista-Ortuno, R., and Mitkidis, P. (2017). Influence of environmental variables on fear of crime: Comparing self-report data with physiological measures in an experimental design. Journal of Experimental Criminology, 13(4), 537-545.

Ceccato, V. (2020). The architecture of crime and fear of crime: Research evidence on lighting, CCTV and CPTED features. In V. Ceccato and M.K. Nalla (Eds.), Crime and Fear in Public Places. Towards Safe, Inclusive and Sustainable Cities (pp. 38-71). New York: Routledge.

Cops, D., and Pleysier, S. (2011). ‘Doing Gender’ in Fear of Crime: The Impact of Gender Identity on Reported Levels of Fear of Crime in Adolescents and Young People. British Journal of Criminology, 51(1), 58-74.

Ditton, J., Khan, F., and Chadee, D. (2005). Fear of Crime Quantitative Measurement Instability Revisited and Qualitative Consistency Added: Results from a Three Wave Trinidadian Longitudinal Study. International Review of Victimology, 12(3), 247-271.

Farrell, G., Tseloni, A., Mailley, J., and Tilley, N. (2011). The Crime Drop and the Security Hypothesis. Journal of Research in Crime and Delinquency, 48(2), 147-175.

Fernández-Fontelo, A., Cabaña, A., Joe, H., Puig, P., and Moriña, D. (2019). Untangling serially dependent underreported count data for gender-based violence. Statistics in Medicine, 38(22), 4404-4422.

Ferraro, K.F. (1996). Women’s Fear of Victimization: Shadow of Sexual Assault? Social Forces, 75(2), 667-690.

Fox, K.A., Nobles, M.R., and Piquero, A.R. (2009). Gender, crime victimization and fear of crime. Security Journal, 22(1), 24-39.

Gabriel, U., and Greve, W. (2003). The Psychology of Fear of Crime: Conceptual and Methodological Perspectives. British Journal of Criminology, 43, 600–614.

Government Equalities Office (2019). Gender Equality Monitor. Tracking progress on gender equality. Available at: (Accessed: 3 September 2023).

Grove, L., Tseloni, A., and Tilley, N. (2012). Crime, Inequality, and Change in England and Wales. In J. Dijk, A. Tseloni and G. Farrell (Eds.), The International Crime Drop. New Directions in Research (pp. 182-199). London: Palgrave Macmillan.

Hale, C. (1996). Fear of crime: A Review of the Literature. International Review of Victimology, 4(2), 79-150.

Hamed, K.H. (2009). Exact distribution of the Mann–Kendall trend test statistic for persistent data. Journal of Hydrology, 365(1-2), 86-94.

Hamed, K.H., and Rao, A.R. (1998). A modified Mann-Kendall trend test for autocorrelated data. Journal of Hydrology, 204(1-4), 182-196.

Hart, T.C., Chataway, M., and Mellberg, J. (2022). Measuring fear of crime during the past 25 years: A systematic quantitative literature review. Journal of Criminal Justice, 82.

Haynie, D.L. (1998). The Gender Gap in Fear of Crime, 1973-1994: A Methodological Approach. Criminal Justice Review, 23(1), 29-50.

Henson, B., and Reyns, B.W. (2015). The Only Thing We Have to Fear is Fear Itself… and Crime: The Current State of the Fear of Crime Literature and Where It Should Go Next. Sociology Compass, 9(2), 91-103.

Hille, P., Walsh, G., and Cleveland, M. (2015). Consumer Fear of Online Identity Theft: Scale Development and Validation. Journal of Interactive Marketing, 30(1).

Hirtenlehner, H., and Farrall, S. (2014). Is the Shadow of Sexual Assault’ Responsible for Women’s Higher Fear of Burglary? British Journal of Criminology, 54(6), 1167-1185.

Hodgkinson, T., Andresen, M.A., Ready, J., and Hewitt, A.H. (2022). Let’s go throwing stones and stealing cars: offender adaptability and the security hypothesis. Security Journal, 35, 98-117.

Hough, M. (2004). Worry about crime: mental events or mental states? International Journal of Social Research Methodology, 7(2), 173-176.

Jackson, J. (2005). Validating New Measures of the Fear of Crime. International Journal of Social Research Methodology, 8(4), 297-315.

Jackson, J., and Gouseti, I. (2014). Fear of crime and the psychology of risk. In G. Bruinsma and D. Weisburd (Eds.), Encyclopedia of criminology and criminal justice (pp. 1594-1603). New York: Springer.

Jeanis, M.N., Powers, R.A., Miley, L.N., Shunick, C.E., and Storms, M. (2021). The New Milk Carton Campaign: An Analysis of Social Media Engagement with Missing Persons’ Cases. Social Forces, 100(2), 454-476.

Johansson, S., and Haandrikman, K. (2021). Gendered fear of crime in the urban context: A comparative multilevel study of women’s and men’s fear of crime. Journal of Urban Affairs, 1238-1264.

Loader, I. (1999). Consumer culture and the commodification of policing and security. Sociology, 33(2), 373-392.

May, D.C., Rader, N.E., and Goodrum, S. (2010). A Gendered Assessment of the “Threat of Victimization”: Examining Gender Differences in Fear of Crime, Perceived Risk, Avoidance, and Defensive Behaviors. Criminal Justice Review, 35(2), 159-182.

Office for National Statistics (2023). User Guide to Crime Statistics for England and Wales: March 2023. Available at: guidetocrimestatisticsforenglandandwales (Accessed: 3 September 2023).

Önöz, B., and Bayazit, M. (2012).‘Block bootstrap for Mann-Kendall trend test of serially dependent data. Hydrological Processes, 26(23), 3552-3560.

R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

Rader, N. (2017). Fear of crime. In H.N. Pontell (Ed.), Oxford Research Encyclopedia of Criminology. New York: Oxford University Press.

Rader, N.E., and Haynes, S.H. (2011). Gendered Fear of Crime Socialization: An Extension of Akers’s Social Learning Theory. Feminist Criminology, 6(4), 291-307.

Reid, L.W., and Konrad, M. (2004). The Gender Gap in Fear: Assessing the Interactive Effects of Gender and Perceived Risk on Fear of Crime. Sociological Spectrum, 24(4), 399-425.

Reisig, M.D., Pratt, T.C., and Holtfreter, K. (2009). Perceived Risk of Internet Theft Victimization: Examining the Effects of Social Vulnerability and Financial Impulsivity. Criminal Justice and Behavior, 36(4), 369-384.

Ross, F.J. (2018). From municipal feminism to the Equality Act – Legislation and gender equality work in UK local government 1980-2010. Women’s Studies International Forum, 66.

Sen, P.K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389.

Shippee, N.D. (2012). Victimization, Fear of Crime, and Perceived Risk: Testing a Vulnerability Model of Personal Control. Sociological Perspectives, 55(1), 117-140.

Skogan, W.G., and Maxfield, M. (1981). Coping with crime: Individual and neighbourhood reactions. Beverly Hills, CA: Sage.

Smeets, M.E., and Foekens, P. (2017). The fear drop. In M. Lee and G. Mythen (Eds.), The Routledge International Handbook on Fear of Crime (pp. 446-466). London: Routledge.

Snedker, K.A. (2015). Neighbourhood Conditions and Fear of Crime: A Reconsideration of Sex Differences. Crime & Delinquency, 61(1), 45-70.

Stubbs-Richardson, M., Rader, N.E., and Cosby, A.G. (2018). Tweeting rape culture: Examining portrayals of victim blaming in discussions of sexual assault cases on Twitter. Feminism & Psychology, 28(1), 90–108.

Tseloni, A., Farrell, G., Thompson, R., Evans, E., and Tilley, N. (2017). Domestic burglary drop and the security hypothesis. Crime Science, 6(3).

Turchik, J.A., Hebenstreit, C.L., and Judson, S.S. (2016). An Examination of the Gender Inclusiveness of Current Theories of Sexual Violence in Adulthood: Recognizing Male Victims, Female Perpetrators, and Same-Sex Violence. Trauma, Violence, & Abuse, 17(2), 133–148.

Van Eijk, G. (2017). Between Risk and Resistance: Gender Socialization, Equality, and Ambiguous Norms in Fear of Crime and Safekeeping. Feminist Criminology, 12(2), 103-124.

Van Dijk, J., van Kesteren, J., and Smit, P. (2007). Criminal Victimisation in International Perspective. Key findings from the 2004-2005 ICVS and EU ICS. Den Haag: WODC.

Walklate, S. (2017). Gender, violence and the fear of crime. Women as fearing subjects? In M. Lee, and G. Mythen (Eds.), The Routledge International Handbook on Fear of Crime (pp. 222-235). London: Routledge.

Zarafonitou, C., Kontopoulou, E., Anitsi, E., and Kalamaras, D. (2022). Crime, fear of crime and insecurity during the pandemic: The Greek reality. Urban Crime. An International Journal, 3(2), 4-32.

No comments here
Why not start the discussion?