Crime Statistics Of Bangladesh 2010-2019

Introduction

In today's society, understanding crime trends and patterns is crucial for policymakers, law enforcement agencies, and communities at large. Analyzing crime data provides valuable insights into the prevalence and nature of various offenses, helping us develop effective strategies for crime prevention and intervention. In this article, we delve into a comprehensive analysis of crime data, shedding light on the evolving landscape of criminal activities.

Our analysis focuses on several prominent crime categories, including burglary, dacoity, murder, kidnapping, riot, robbery, theft, woman and child repression, and other cases. We assess the Year-on-Year (YOY) changes for each category and evaluate their overall trends throughout the specified years. Additionally, we explore the distribution of cases across different police units, shedding light on regional variations and identifying areas with higher crime rates

Yearly Trend:

• The total number of cases has shown a fluctuating trend over the years, with slight variations. There was a gradual increase from 2010 to 2018, with a peak in 2018 at 221,419 cases.
• However, from 2018 to 2020 (not mentioned in the provided data), there seems to be a decrease in the total number of cases, but the specific numbers are missing. It's important to note the missing data for a comprehensive analysis.

Crime Categories:

• Burglary: The number of burglary cases fluctuated over the years, with a slight overall increase. However, the Year-on-Year (YOY) changes varied each year.
• Dacoity: The number of dacoity cases has shown a decreasing trend, with some fluctuations. The YOY changes have also been negative for most years.

• Murder: The number of murder cases has shown fluctuations, but with an overall increasing trend. YOY changes varied each year.
• Kidnapping: The number of kidnapping cases has shown fluctuations, but with an overall increasing trend. YOY changes varied each year.
• Riot: The number of riot cases has shown fluctuations, but with an overall decreasing trend. YOY changes varied each year.
• Robbery: The number of robbery cases has shown fluctuations, but with an overall decreasing trend. YOY changes varied each year.
• Theft: The number of theft cases has shown fluctuations, but with an overall decreasing trend. YOY changes varied each year.
• Woman & Child Repression: The number of woman and child repression cases has shown fluctuations, with some overall increase. YOY changes varied each year.
• Other Cases: The number of other cases has shown fluctuations, but with an overall decreasing trend. YOY changes varied each year.

Unit-wise Analysis:

• Dhaka Range and Chittagong Range have the highest total cases, indicating higher crime rates in these areas.
• DMP (Dhaka Metropolitan Police) has a relatively high number of cases, ranking third in total cases.
• Among the crime categories, Dhaka Range has the highest number of burglary, dacoity, and murder cases.
• DMP has the highest number of riot, theft, and other cases.
• Rajshahi Range has the highest number of kidnapping cases.
• CMP (Chittagong Metropolitan Police) has the highest number of robbery cases.
• DMP has the highest number of woman & child repression cases.

Recovery and Speedy Trial:

• Dhaka Range, DMP, and Chittagong Range have the highest recovery rates for arms, narcotics, and explosives.

• Rajshahi Range has the highest recovery rate for smuggling cases.
• Speedy trial data is only available for Dhaka Range, DMP, Chittagong Range, and Rajshahi Range. Among these, Rajshahi Range has the highest number of cases resolved through speedy trial.

Co-relations

• Burglary and Theft: There might be a positive association between burglary and theft cases. When burglary cases increase, theft cases also tend to increase, and vice versa. This can be observed by comparing the numbers for burglary and theft over the years.
• Murder and Kidnapping: There could be a positive association between murder and kidnapping cases. An increase in murder cases may indicate a higher likelihood of kidnappings, and vice versa. This inference can be made by comparing the numbers for murder and kidnapping cases over the years.
• Riot and Robbery: There might be a negative association between riot and robbery cases. When riot cases increase, robbery cases tend to decrease, and vice versa. This pattern can be observed by comparing the numbers for riot and robbery cases over the years.

Conclusion

Analyzing crime data is an essential step towards understanding the dynamics of criminal activities and formulating effective strategies to combat them. Our comprehensive analysis of the provided data has provided valuable insights into the trends and patterns of various crime categories.

We observed fluctuations in the total number of cases over the years, with specific categories experiencing both increases and decreases. While correlation metrics were not available, we identified potential associations between certain variables, such as burglary and theft, murder and kidnapping, and riot and robbery.

Furthermore, our examination of the data highlighted variations in crime rates across different police units, with Dhaka Range and Chittagong Range consistently reporting higher case numbers. Understanding these regional differences is crucial for allocating resources and tailoring crime prevention initiatives to specific areas.