Crime in Trinidad and Tobago: the effect of alcohol use and unemployment


La delincuencia en Trinidad y Tabago: el efecto del consumo de alcohol y del desempleo



Hari D. MaharajhI,*; Akleema AliII

IDepartment of Psychiatry, Faculty of Medical Sciences, The University of the West Indies, Mount Hope, Trinidad, West Indies
IIDepartment of Behavioural Sciences, The University of the West Indies, St. Augustine, Trinidad, West Indies




OBJECTIVE: The purpose of this study was to determine whether unemployment and alcohol consumption were associated with different types of crime in Trinidad and Tobago.
METHODS: This study made use of secondary data from the Central Statistical Office of Trinidad and Tobago for the period 1990­1997. Pearson product moment correlations and stepwise multiple regression analysis were used to identify significant predictors of crime.
RESULTS: Unemployment accounted for 69.2% of the variance for serious crimes. Beer available for home consumption explained 64% of the variance for minor offenses, and both unemployment and beer available for home consumption accounted for 92.2% of the variance for minor crimes.
CONCLUSIONS: This study provides information that is potentially useful for developing public policies for unemployment and for the sale of beer for home consumption, both of which are associated with crime in Trinidad and Tobago. Reductions in beer available for home consumption—a major public health concern—would significantly reduce the occurrence of minor offenses in this country. Further research is needed on the relationship between unemployment and crime.

Key words: Alcohol, crime, public health, Trinidad and Tobago, unemployment.


OBJETIVO: Determinar si el desempleo y el consumo de alcohol se asociaban con distintos tipos de delincuencia en Trinidad y Tabago.
MÉTODOS: El estudio se realizó con datos secundarios obtenidos de la Oficina Central de Estadísticas de Trinidad y Tabago para el período de 1990­1997. Se aplicaron correlaciones de Pearson del tipo producto-momento y análisis de regresión múltiple por eliminación progresiva (stepwise regression) para identificar los principales factores pronósticos relacionados con la delincuencia.
RESULTADOS: El desempleo explicó 69,2% de la varianza en la frecuencia de delitos graves. La disponibilidad de cerveza para consumo en el hogar explicó 64% de la varianza en la frecuencia de infracciones menores, y el desempleo junto con la disponibilidad de cerveza para consumo en el hogar explicaron 92,2% de la varianza en la frecuencia de delitos menores.
CONCLUSIONES: Este estudio proporciona información que puede ser útil para idear políticas contra el desempleo y la venta de cerveza destinada al consumo doméstico, factores que se asocian con la delincuencia en Trinidad y Tabago. Si se redujera la disponibilidad de cerveza para consumo en el hogar —problema de salud pública importante—, la frecuencia de infracciones menores se reduciría notablemente en este país. Hacen falta más investigaciones que exploren la relación entre el desempleo y la delincuencia.



Criminal activity is a major social problem that governments face. Recently, there has been increased interest in identifying specific predictors of crime that can be used in formulating public policy. Many research designs have been used to examine crime and its predictors. For example, most research that identifies alcohol use as a predictor of crime have been based on two approaches: individual-level analysis and analysis of aggregate-level data. In individual-level studies, the occurrence of crimes is related to individual intoxication, whereas aggregate-level studies demonstrate that an increase in one predictor (e.g., drinking) is followed by an increased rate of violence within that population (1). Aggregate-level data have been shown useful for cross-cultural comparisons.

The possible existence of a relationship between unemployment and crime (U-C) has been examined extensively in econometric analyses, based on both time series and cross-sectional analysis (2­5). In a review of the empirical evidence, Chiricos (6) argued that the direction of the U-C relationship depends on factors such as type of crime, how employment is measured, and the time period studied.

Major predictors of crime identified to date are alcohol consumption (1, 7), unemployment (8, 9), spatial dynamics of neighborhood structure (10), handgun sales (11), and the economy (12). Despite attempts to identify predictors of crime, there is general agreement that crimes differ from country to country and that different types of crime have different causes (13).

Within the Caribbean setting, previous studies have examined the region as a whole and have focused on suicide and homicide (14), and also on unemployment and crime (8). However, no studies have yet examined aggregate-level data for Trinidad and Tobago. Such studies are needed to identify specific predictors of crime, so that the results can be directed towards the formulation of public health policies with respect to crime within Trinidad and Tobago.

General trends in crime rates have been identified for the period from 1990 to 1997 (Figure 1). Minor offenses (misdemeanors) have decreased sharply from 440.5 per 100 000 inhabitants in 1990 to 59.3 per 100 000 inhabitants in 1997, with the sharpest decrease occurring between 1990 and 1991. The trend lines for serious crimes and minor crimes showed similar and almost parallel trends. Rates began to decrease from 1991 to 1994 for minor crimes (from 232.5 to 169.5), and from 1992 to 1995 for serious crimes (from 80.1 to 62.4). However, the rates began to increase steadily thereafter, and by 1997 had reached 296.5 for minor crimes and 150 for serious crimes. Of all three types of crime, minor crimes were the most prevalent, with the highest rates throughout the period from 1991 to 1997. The purpose of this study was to investigate the association between these trends for different types of crime in Trinidad and Tobago and two major predictors: alcohol use and unemployment.




Description of Trinidad and Tobago

Trinidad and Tobago is the most southerly of all Caribbean islands and has a population of approximately 1.3 million, with 40.3% of the population being of East Indian descent, 39.6% of African descent, 18.4% of mixed descent and 1.7% belonging to other ethnic groups. Trinidad has five major towns: Port-of-Spain, San Fernando, Arima, Chaguanas and Pt. Fortin, while Tobago has one major town, its capital Scarborough (15). The per-capita gross domestic product (GDP) is US$ 8 948 (16), with the energy sector (oil, asphalt, mining, and refining) being the major contributor to the GDP (15).

The court system in Trinidad is inherited from the English legal system. Magistrates' Courts are lower criminal courts responsible for preliminary proceedings for offenses. These courts are also involved in civil cases, indictable offenses and summary offenses. The High Court is a court of unlimited jurisdiction in both civil and criminal matters; members of the judiciary sit in the High Court and justice may be imparted through a jury system.


This study used secondary data from the Central Statistical Office (CSO). The CSO is the sole institution in Trinidad and Tobago responsible for the collection and dissemination of data related to social and economic activities in this country. Data are available for the period from 1990 to 1997. At the time of this study no data were available for the period after 1997.

The following statistics were gathered for the period 1990­1997 to examine the relationship between alcohol use, unemployment, and crime: serious crime, minor crime, minor offenses, liters of alcohol available for home consumption (beer, rum, and stout), and unemployment rates. Serious crimes included all crimes carrying a penalty of imprisonment for five years or longer, and for which prosecution had been instituted in the High Court. Minor crimes included all crimes carrying a penalty of imprisonment for less than five years, and for which prosecutions had been instituted in the High Court. Minor offenses included all offenses for which prosecution had been summarily instituted in the Magistrates' Court. Detailed descriptions of these categories of crime are given in Table 1, which lists the concepts and definitions of crime used by the CSO (17).



Liters of alcohol available for home consumption was used as a surrogate measure for alcohol consumption, as figures for actual alcohol consumption are not tabulated by the CSO. The CSO calculates alcohol available for home consumption based on total production of alcoholic beverages plus imports minus exports. Because the figures for availability of alcohol for home consumption for each year represent new inventory, it follows that production for a given year reflects the population's demand for each product. Therefore, if consumption of a given beverage increases over time, it is likely that production of the item will increase, thus making it more available to consumers in this supply-and-demand system (18).


The Statistical Package for the Social Sciences (SPSS, version 11) was used to conduct all statistical analyses. Differences were considered significant at P < 0.05. For the analyses, rates for each type of crime (Figure 1) were calculated per 100 000 inhabitants by dividing the total number of each type of crime by the total population for that year. Alcohol available for home consumption was calculated as liters of each beverage released for consumption and placed on store shelves per 100 000 inhabitants, and the unemployment rate was calculated as a percentage of the available workforce not gainfully employed.

Pearson product-moment correlations were used to examine the overall direction and strength of the relationships between the variables. This was followed by multiple stepwise regression, performed with type of crime (serious crime, minor crime, and minor offenses) as the dependent variable, and with unemployment, liters of beer placed on store shelves, liters of rum placed on store shelves and liters of stout placed on store shelves as the predictor variables. Figures for the predictor variables were lagged one year with respect to the figures for crime rates to account for variations in the latter. These statistical procedures have been used in similar types of research (11, 19).



Between 1990 and 1993, the mean unemployment rate was 19.48%. This rate decreased steadily from 1993 to 1997. For the whole eight-year period, unemployment decreased by 29.0%, from 20% in 1990 to 14.2% in 1997 (Figure 2). The trend lines for alcohol consumption (Figure 3) showed that total liters of alcohol available for home consumption were highly dependent on beer availability (r> 0.960, P < 0.001). Stout was the second most popular alcoholic beverage, with rum available for home consumption ranking third. For rum and stout, availability for home consumption per 100 000 inhabitants was less than 500 liters throughout the period from 1990 to 1997.





The correlation coefficients revealed that unemployment was significantly and inversely correlated with serious crimes (r> 0.832,P < 0.05) and minor crimes (r> 0.833, P < 0.05). Minor offenses were directly correlated with unemployment (r> 0.693, P < 0.05) and beer availability (r> 0.800, P < 0.05). The correlations are summarized in Table 2.



Stepwise regression analysis revealed three models that accounted for substantial proportions of crime. Table 3 summarizes the results for all regression models. In the first model (serious crime) unemployment was the only predictor, accounting for 69.2% (R> 0.832, R2> 0.692) of the variance. All other variables were excluded from the model.

In the second model (minor offenses) the amount of beer available for home consumption was the only predictor, accounting for 64% (R> 0.800, R2> 0.640) of the variance. Other predictor variables were excluded from this model.

The third model (minor crimes) revealed two predictors: unemployment and amount of beer available for home consumption. Together they accounted for 92.2% (R> 0.960, R2> 0.922) of the variance. In this model unemployment alone accounted for 69.4% of the variance, while beer availability contributed an additional 22.8% of the variance. Other predictors were excluded from the model.



This study attempted to identify predictors of various types of crime in Trinidad and Tobago. Overall, it was found that both unemployment and beer available for home consumption were associated with criminal activities in this country. Unemployment accounted for 69.2% of the variance in serious crime rates and 69.4% of the variance in minor crime rates. The present analysis identified beer available for home consumption as the sole predictor of minor offenses, accounting for 64% of the variance. Beer consumption also contributed to minor crimes, accounting for 22.8% of the variance in the rates of this type of crime.

The beta values in the stepwise multiple regression models (Table 3) confirmed that unemployment was a potentially useful predictor of both serious and minor crimes, but that the direction of the effect was negative, i.e., falling unemployment rates result in higher crime rates. Previous research (2) and economic theory (20) have supported an inverse U-C relationship by suggesting that as unemployment decreases, more economic goods and potential crime targets become available. Thus, as unemployment falls, opportunities increase for attempted and successful criminal activities.

Of the three alcoholic beverages compared here, beer was the only one that contributed significantly to crime. This association can be attributed to two factors: the beverage-specific effects of alcohol and the drinking culture or pattern in Trinidad and Tobago. Earlier research has noted the possible differential beverage-specific effects of alcohol on various behavioral outcomes (21). Studies of trends identified in Europe have focused on the "Mellanby effect," which occurs when the blood alcohol concentration rises more rapidly and to higher levels when spirits are consumed compared to when beer is consumed. In addition, the differential effects of alcoholic beverages are likely to be directly linked to the drinking culture of the country. Stronger associations have been established between violent behavior and the "explosive" drinking patterns seen in Finland, Sweden and Norway when compared to the "moderate" drinking patterns of France (7). In Sweden, spirit consumption was strongly associated with crime but no association was found for beer or wine consumption. Parker and Cartmill (22), in an analysis of U.S. data, found that the consumption of spirits was directly related to the commission of homicidal acts by white persons, whereas beer consumption was linked to the commission of homicidal acts by nonwhite persons.

The drinking culture of Trinidad and Tobago includes the consumption of beer, stout, and rum. However, beer was the most popular of all three beverages from 1990 to 1997, and the amount of this beverage available for consumption in 1997 was 28.32 times as great as the amount of rum and 5.68 times as great as that of stout (Figure 3). Because beer is dominant in the drinking context of Trinidad and Tobago, it is more likely than other alcoholic beverages to be a predictor of crime, more specifically minor crimes and minor offenses. In clinical observations we have noted an increase in the numbers of adolescents and young adults seeking treatment for alcohol-related problems.

Our findings are consistent with those of the Forst and Bennett Caribbean study (8), which found no evidence to support the hypothesis that increases in unemployment are related to increases in crimes. The multiple stepwise regression analyses in Table 3 indicate that although unemployment plays a role in the occurrence of serious and minor crimes (accounting for 69.2% and 69.4% of the variance respectively), its predictive effect is negative, as shown by the beta values (b> ­0.832 and b> ­0.833). However, our study is limited by the fact that the measure of unemployment we used represents global rates at the national level, and thus does not take into account the influence of age or gender. Unemployment rates should differentiate between young men and older men, and between male and female unemployment. Research has shown that the direction of the U-C relationship varies when these differences are taken into account (5, 6). The present study is also limited by the fact that alcohol consumption was not measured directly; instead we used availability of alcohol for home consumption as a surrogate measure of consumption. However, we feel the indirect nature of this variable does not undermine the significance of the relationships found in our multiple regression analysis.

For many decades researchers from different disciplines (e.g., sociology, psychology, and economics) have tried to identify the combination of factors that might account for criminal activities in different countries. Although the 92.2% variance in minor crimes attributed to unemployment (69.4%) and beer available for home consumption (22.8%) may seem a high figure, the implications of this association merit further consideration as the results of future research in Trinidad and Tobago and other countries come to light. The role of other factors should be investigated with the same methods to see whether similar correlations and variances are found between these variables in other countries.

Despite the finding that both unemployment and beer available for home consumption are associated with criminal activities in Trinidad and Tobago, crime may also be the result of other phenomena. Other factors that merit study and that may contribute to the variance in rates of serious crime are poverty (e.g., malnutrition, unsanitary dwellings, crowded living conditions) and inequality (uneven distribution of wealth), low educational level, poor moral development, low wages, and mental illnesses. Previous researchers have noted that poverty and inequality should not be neglected in attempting to explain crime (23, 24).

This study, an initial attempt to identify predictors of crime, has demonstrated that beer available for home consumption and unemployment are significantly associated with crime in Trinidad and Tobago. Further examination of the U-C relationship is advisable in which the measure of unemployment used takes differences in age, gender, and county into account. The U-C relationship should also be examined across counties and administrative areas in Trinidad and Tobago to establish whether the direction of this relationship remains the same, so that policies implemented to deal with various types of crime can be addressed specifically to the needs of each county or area. We also recommend that future studies use an econometric method so that changes over time can be followed. In addition, measures should be taken to reduce the amount of beer made available for home consumption, as this was the only significant predictor of minor offenses (64%) and one of the two predictors of minor crimes (22.8%). Reductions in beer available for home consumption may significantly reduce the occurrence of minor offenses in Trinidad and Tobago. This hypothesis, however, has not yet been tested.

The findings of this study have potentially important public health implications for all Caribbean countries now faced with escalating crime, increasing rates of substance abuse, and rising rates of unemployment. Trinidad and Tobago is one of the more developed Caribbean countries, and as other Caribbean islands become more industrialized, it is likely that social and behavioral changes seen in Trinidad and Tobago may be mirrored elsewhere. This study provides an important baseline for further research in the region.



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Manuscript received on 7 April 2003. Revised version accepted for publication on 12 March 2004.



Suggested citation: Maharajh HD, Ali A. Crime in Trinidad and Tobago: the effect of alcohol use and unemployment. Rev Panam Salud Publica. 2004;15(6):417–23
* Send correspondence to: Hari D. Maharajh, Department of Psychiatry, Faculty of Medical Sciences, The University of the West Indies, Mount Hope, Trinidad, West Indies; telephone: (1 868) 665 3119; e-mail: drharim@

Organización Panamericana de la Salud Washington - Washington - United States