11 datasets found
  1. m

    CrimeDataBD: A Standard Dataset of Crime Records in Bangladesh for Machine...

    • data.mendeley.com
    Updated Jun 9, 2025
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    Faisal Tareque Shohan (2025). CrimeDataBD: A Standard Dataset of Crime Records in Bangladesh for Machine Learning Tasks [Dataset]. http://doi.org/10.17632/d7vzpcdzcw.4
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    Dataset updated
    Jun 9, 2025
    Authors
    Faisal Tareque Shohan
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Bangladesh
    Description

    Type of data: Crime records in CSV format with numerical and textual values.

    Data format: CSV.

    Number of samples: 6,574 instances.

    Crimes considered: Murder, Rape, Assault, Robbery, Kidnap, Body Found.

    Number of classes: Six (corresponding to the crime categories).

    Distribution of instances: Varies across crime types based on real-world occurrences.

    How data are acquired: • Crime data collected from newspapers. • Socioeconomic data sourced from the National Census. • Weather data retrieved from a Weather API.

    Data source locations: Bangladesh.

    Where applicable: Suitable for crime classification, forecasting, and crime analysis.

  2. Intentional homicide rates Bangladesh 2008-2017

    • statista.com
    • ai-chatbox.pro
    Updated Jul 23, 2025
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    Statista (2025). Intentional homicide rates Bangladesh 2008-2017 [Dataset]. https://www.statista.com/statistics/677504/intentional-homicide-rates-bangladesh/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bangladesh
    Description

    In 2018, there were approximately **** homicide victims per 100,000 of the population in Bangladesh. In comparison, there were approximately *** homicide victims per 100,000 of the population in Bangladesh in 2014.

  3. Woman Harassment Dataset 2001-21 | Bangladesh

    • kaggle.com
    zip
    Updated Apr 10, 2024
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    Azmine Toushik Wasi (2024). Woman Harassment Dataset 2001-21 | Bangladesh [Dataset]. https://www.kaggle.com/datasets/azminetoushikwasi/woman-harassment-dataset-200121-bangladesh
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 10, 2024
    Authors
    Azmine Toushik Wasi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Bangladesh
    Description

    Context

    This dataset contains Rape (with types), Stalking, Dowry Dataset 2001-21 of Bangladesh.

    Project / Tasks

    • Analysis and predict future rapes.
    • Find rape patterns.

    https://hraps.humboldt.edu/sites/default/files/styles/panopoly_image_full/public/harassment.jpg" alt="Woman Harassment">

    About Rape

    Rape is often described as unwanted or forced 'sex' – or 'sex' that happened without consent. But, sex can only happen when everyone consents. Rape, on the other hand, is a form of sexual violence and a serious crime. Rape happens when someone didn't want to have sex or didn't give their consent for sex to happen.

    About Woman Harassment in Bangladesh

    Despite lots of laws and campaign, people's perceptions on sexual harassment are still wrong in our country and a huge part of our total population is ignorant of its laws, leading to an increase in gender based violence. About 84% of women in Bangladesh are constantly being sexually harassed on the road, in vehicles, in educational institutions, at work, and even at home. In this context and the occasion of 'Sexual Harassment Awareness Month' - ACTIONISTS organized its 17th episode of the "Dialogue for Action" series on 29th April, 2021. The topic of this webinar was "Prevention of Sexual Harassment in Bangladesh: Socio-legal Perspectives". The invited speakers were respectively SK Jenefa K Jabbar, Director of Human Rights and Legal Aid Services (HRLS), Social Compliance and Safeguarding at BRAC; Taslima Yasmin, Associate Professor at Department of Law, University of Dhaka and Najmul Islam, ADC of Cyber Crime Investigation Division, CTTC, DMP. The program was hosted by Mohammad Golam Sarwar, Assistant Professor of Law, University of Dhaka and Coordinated by A.N.M. Fakhrul Amin Forhad, Founder of ACTIONISTS. Article URL

    Content

    • Attempt-to-Rape_2014-2021.csv
    • Dowry_2001-2021.csv
    • Rape_CommittedSuicideAfterBeingRaped_2007-2021.csv
    • Rape_GangRape_2007-2021.csv
    • Rape_KilledAfterRape_2007-2021.csv
    • Rape_Total_2001-2021.csv
    • Stalking_2011-2021.csv

    Bangladesh related more Datasets

    Download

    • kaggle API Command !kaggle datasets download -d azminetoushikwasi/woman-harassment-dataset-200121-bangladesh

    Disclaimer

    • The data collected are all publicly available and it's intended for educational purposes only.

    Acknowledgement

    • Cover image taken from internet.

    Appreciate, Support, Share

  4. Crime in Bangladesh

    • kaggle.com
    Updated Aug 1, 2021
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    Sohag Ahammed Siyam (2021). Crime in Bangladesh [Dataset]. https://www.kaggle.com/espsiyam/crime-in-bangladesh/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 1, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sohag Ahammed Siyam
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Bangladesh
    Description

    Context

    This dataset contains data from 2010 to 2019 about various criminal activities in Bangladesh.

    Content

    The data represents different criminal activities and which unit took the case.

    • Unit_Name: Police Unit from a different region

    • Dacoity: The number of violent robberies by an armed gang that year under a specific police unit.

    • Robber: The number of robberies that took place that year under a specific police unit.

    • Murder: The number of murders that took place that year under a specific police unit.

    • Speedy Trial: The number of criminal trials held after a minimal delay that year under a specific police unit.

    • Riot: The number of riots that took place that year under a specific police unit.

    • Women&Children_Represion: The number of women or children who faced domestic violence that year under a specific police unit.

    • Kidnapping: The number of kidnappings that took place that year under a specific police unit.

    • Police_Assult: The number of kidnappings that took place that year under a specific police unit.

    • Burglary

    • Theft

    • Other_cases

    • Arms_act

    • Explosive_act

    • Narcotic_act

    • Smuggling

    • Tot(arm+exp+nar+smu)

    • Total

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?n

  5. m

    CrimeDataBD

    • data.mendeley.com
    Updated Apr 4, 2025
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    Faisal Tareque Shohan (2025). CrimeDataBD [Dataset]. http://doi.org/10.17632/d7vzpcdzcw.2
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    Dataset updated
    Apr 4, 2025
    Authors
    Faisal Tareque Shohan
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Type of data: Crime records in CSV format with numerical and textual values.

    Data format: CSV.

    Number of samples: 6,574 instances.

    Crimes considered: Murder, Rape, Assault, Robbery, Kidnap, Body Found.

    Number of classes: Six (corresponding to the crime categories).

    Distribution of instances: Varies across crime types based on real-world occurrences.

    How data are acquired: • Crime data collected from newspapers. • Socioeconomic data sourced from the National Census. • Weather data retrieved from a Weather API.

    Data source locations: Bangladesh.

    Where applicable: Suitable for crime classification, forecasting, and crime analysis.

  6. ACLED Bangladesh

    • kaggle.com
    Updated Dec 3, 2021
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    Saima Sharleen (2021). ACLED Bangladesh [Dataset]. http://doi.org/10.34740/kaggle/dsv/2883732
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 3, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Saima Sharleen
    Area covered
    Bangladesh
    Description

    Context

    This dataset contain data about armed conflict locations & event data in Bangladesh from the beginning of 2001 until Novmber 2021. The 'fatalities' feature can be used as a target to model for predictions.

    Acknowledgements

    We thank ACLED for providing this data. Find ACLED here : https://acleddata.com/#/dashboard

    Licence

    Non-Commercial Licenses - ACLED’s full dataset is available for use free of charge by noncommercial entities and organizations (e.g., non-profit organizations, government agencies, academic institutions) using the data for non-commercial purposes, subject to these Terms of Use. Non-commercial licenses may also be granted to for-profit media outlets or journalists citing ACLED’s content in works of journalism; provided that such works are made available to the general public and benefit public discourse on the topic, subject to ACLED’s prior, written approval.

    Inspiration

    How many fatalities based on event type and subtype? What to expect when each actor is involved in conflict? What regions are impacted the most? What are the events that manifest more fatalities? Can we model and predict fatalities based on the features we have? Can we forecast the upcoming year's crime rate?

  7. w

    Bangladesh - Citizen's Experiences of the Legal System 2009 - Dataset -...

    • wbwaterdata.org
    Updated Mar 16, 2020
    + more versions
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    (2020). Bangladesh - Citizen's Experiences of the Legal System 2009 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/bangladesh-citizens-experiences-legal-system-2009
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Bangladesh
    Description

    The survey focuses upon citizens' experiences of civil wrongs and criminal offences and their use of formal and informal dispute resolution mechanisms to obtain redress. BACKGROUND The World Bank began its engagement on legal and judicial reform in Bangladesh with the Legal and Judicial Capacity Building Project (the project commenced in 2001 and has been extended until December 2008), a Government strategy supporting the reform agenda in this package was adopted in 2000. The project was a product of its time, and focused on a series of technocratic reforms to the civil justice system (improving the commercial legal framework, increasing court efficiency (strengthening court administration, improving case management, strengthening judicial training), upgrading infrastructure and facilities, establishing capacity in law reform and legal drafting, and attempting to establish and support a legal aid framework.). The last decade has seen a significant evolution in the Bank's approach to the overall governance agenda in its client countries. It has also witnessed a broadening of the Bank's agenda to “demand side” interventions and pro-poor justice, and a new interpretation of the Articles of Agreement which comprehends that working on criminal justice and human rights is within the Bank's mandate. Since the 2000/2001 World Development Report, the Bank has adopted a definition of poverty that incorporates vulnerability, exposure to risk, voicelessness and powerlessness, seeing poverty as multi-dimensional the absence of “fundamental freedoms of action and choice”. So, the poverty reduction aspiration is logically also one which incorporates the notion of increasing human security and individual dignity/reducing vulnerability. The Articles of Association were interpreted to comprehend criminal justice and human rights issues as within the Bank's mandate in separate legal opinions of the General Counsel in early 2006. At the same time, there has been a shift in the Government's stated policy priorities to reform of the criminal justice sector and enhancing affordable justice for the poor. The PRSP of 2005-8 proposes a number of institutional reforms in the justice sector (embracing the judiciary, police, public prosecution system and prison reform) as well as initiatives to increase access to justice, develop informal mechanisms of dispute resolution, and meaningful progress on the separation of the judiciary from the executive. Only the last of these matters has been the subject of significant progress, one of the governance reforms introduced by the Caretaker Government during 2007. Other donors in Bangladesh have shifted their attention to a number of interventions relating to access to justice for the poor, after limited success with the formal institutions involved in the administration of justice. In fact, reform of legal institutions has met with scant success anywhere in the world. A World Bank assessment concluded that “less overall progress has been made in judicial reform and strengthening than in almost any other area of policy or institutional reform: James H. Anderson, David S. Bernstein and Cheryl W. Gray, Judicial Systems in Transition Economies: Assessing the Past, Looking to the Future (Washington DC, World Bank, 2005). When the existing project concludes at the end of 2008, the Bank is interested in designing a new intervention in this field. However, there needs to be a greater evidence base about the existing state of play before preparatory work on a new project can begin. While a literature review reveals a multitude of analyses of Bangladesh's legal system, much of this material is doctrinal, with little empirical work and practically no work which engages with the political economy of institutional reform. Few initiatives have been informed by hard analysis of the day to day experiences of citizens in dealing with civil and criminal wrongs on the one hand and the embedded political, economic and cultural incentives that surround institutional change on the other. What is proposed is a set of empirical investigations that is closely tailored to the initial literature review's findings. A survey would provide insights into the dispute resolution experiences and needs of the bulk of citizens in the country. Qualitative work would probe the current institutional responses (both formal and informal) how the institutions operate and why, the incentive structures within, the dynamics of institutional change. Through the results of this work, the Bank will be better equipped to put the two parts of the puzzle together (basic institutional reform and ensuring that the poor are benefited) in planning any future interventions. RATIONALE The rationale for the survey lies in the paucity of robust data regarding citizens' experience of civil wrongs and crime and about their experiences and perceptions of formal and informal institutions involved in dispute resolution (including NGO service-providers). As is the case in many developing countries, official statistics cannot be relied upon, due to the chronic under-reporting of crime in fact, some countries undertake or use crime victimisation surveys in the absence of any other reliable basis upon which to develop public policy in this area. The existing record-keeping practices of NGO service-providers often catalogue numbers of cases processed but fail to disaggregate this data or to collect meaningful statistics about the incidence of crimes and civil wrongs more generally. Thus, this survey could establish a baseline for monitoring purposes that could be repeated in coming years. After sifting through the existing empirical work, several recent surveys stand out as worthwhile background. Survey work on dispute resolution and legal systems tends to be folded into larger “high-end” governance surveys. This genre of surveys usefully outlines the dimensions of governance problems in Bangladesh including, at a general level, the relationship of institutions that enforce laws and resolve disputes. Three surveys more specifically probe law and order and human security issues, one of which is being finalized at the present time. Another survey draws on the data bases of four prominent legal aid NGOs to provide a profile of perceptions of beneficiaries of the services of those NGOs. And another probes public opinion more broadly with respect to alternative dispute resolution mechanisms. Collectively, the existing surveys are useful; they provide glimpses into the institutional pathologies of law enforcement and dispute resolution from a citizen's perspective and potential policy prescriptions and programmatic interventions. But they have certain limitations for the purposes of examining very broadly the contours of dispute resolution at informal and formal levels, the enforcement of norms, and citizens' behaviour in response to the civil and criminal wrongs that increase their vulnerability and reduce control and predictability over their lives: (i) a narrow topical focus; (ii) the sample size is insufficient to show regional differentiation, that could be expected to be substantial; (iii) the sample pool is bounded geographically and by beneficiaries of on-going NGO programs; (iv) the surveys potentially have a bias toward empirically justifying an on-going activity; and/or (v) donor pressure in terms of time frame and methodology employed. Finally, a lot of the social change in Bangladesh over the last three decades is not adequately documented in the scholarship on the justice-poverty nexus. It thus does not capture the effects of increased urbanization, the breakdown in the authority of traditional mediators (and thus presumably compliance with the outcomes of traditional dispute resolution) as well as the penetration of partisan political patronage into the fabric of collective social life down to the village level in the period since 1991. Recent years have also witnessed the growth in the variety of dispute resolution fora available to parts of the population, especially with the rise of community legal service providers. The latter term refers to NGOs, which in the Bangladesh context provide a variety of dispute resolution services in addition to assisting clients with legal advice and representation in the courts where appropriate. OBJECTIVES The broad objectives of the survey have been identified through the literature review and are designed to supplement existing knowledge: A. To provide a national and regionally representative profile of civil disputes and crimes and their impacts, by gathering data on: i. Reported personal and household experience of civil disputes and crimes: type, frequency, severity ii. Community security and social cohesion profile: knowledge of civil disputes and crimes in the locality (type, frequency, severity) as well as social harmony (trust, confidence, collective action, feeling of safety etc.) iii. Which legal violations (criminal actions, human rights violations and civil wrongs) are the most serious for the average citizen (viz. that reduce to the greatest extent feelings of control over, and predictability in planning, one's life or for which redress is difficult/impossible to obtain.). iv. Self-help strategies, routine practices for avoiding exposure to civil and criminal wrongs, and the impacts on individual citizens of institutional failure. This includes assessing the impact of chronic conditions of crime and violence on coping strategies and pre-emptive behaviour which may have negative consequences for economic and social well-being. These include risk-averse economic behaviour, incorporation into exploitative social networks or patron-client relationships, violent and other forms of vigilante or retaliatory behaviour. This will enable a fuller assessment of the extent of 'unmet need'. v. Variations on (a-c) by gender, socioeconomic status, social networks (including patron-client relationships,

  8. B

    Bangladesh Homicide rate - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated May 16, 2024
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    Globalen LLC (2024). Bangladesh Homicide rate - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/Bangladesh/homicide_rate/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    May 16, 2024
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2000 - Dec 31, 2017
    Area covered
    Bangladesh
    Description

    Bangladesh: Homicides per 100,000 people: Pour cet indicateur, The UN office on drugs and crime fournit des données pour la Bangladesh de 2000 à 2017. La valeur moyenne pour Bangladesh pendant cette période était de 2.6 homicides per 100,000 people avec un minimum de 2.2 homicides per 100,000 people en 2016 et un maximum de 2.9 homicides per 100,000 people en 2006.

  9. Number of prisoners APAC 2022, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jul 2, 2025
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    Statista (2025). Number of prisoners APAC 2022, by country [Dataset]. https://www.statista.com/statistics/315613/asia-countries-with-the-most-prisoners/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia–Pacific
    Description

    With approximately *** million prisoners, China had by far the biggest prison population across the Asia-Pacific region in 2022. In contrast, less than ************ people were incarcerated in Brunei and Timor-Leste, respectively. Prison populations and total populationsThe varying size of prison populations throughout Asia-Pacific can be attributed to the size of the general populations across the region's countries and territories. With a population of over *** billion, China is the most populous country in the world. Despite the disparity in population size, Bhutan, which had one of the smallest prison populations in APAC in 2022, had a higher serious assault rate than other Asia-Pacific counties. Crime ratesApart from the general population size, there are other factors which can be taken into consideration, such as a diversity in justice systems. Therefore, a comparison of crime throughout the region can be challenging. Although China had a higher prison population, it had a lower intentional homicide rate compared to other Asia-Pacific countries and territories. New Zealand, Singapore, and Hong Kong have the lowest corruption index scores in the region, whereas countries including Bangladesh, Cambodia, and North Korea have recorded the highest scores.

  10. B

    Bangladesh Theft rate - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Oct 13, 2022
    + more versions
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    Globalen LLC (2022). Bangladesh Theft rate - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/Bangladesh/theft/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Oct 13, 2022
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2005 - Dec 31, 2006
    Area covered
    Bangladesh
    Description

    Bangladesh: Thefts per 100,000 people: Pour cet indicateur, The UN office on drugs and crime fournit des données pour la Bangladesh de 2005 à 2006. La valeur moyenne pour Bangladesh pendant cette période était de 9 thefts per 100,000 people avec un minimum de 9 thefts per 100,000 people en 2005 et un maximum de 9 thefts per 100,000 people en 2005.

  11. B

    Bangladesh Kidnapping rate - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Apr 7, 2024
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    Globalen LLC (2024). Bangladesh Kidnapping rate - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/Bangladesh/kidnapping/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2005 - Dec 31, 2006
    Area covered
    Bangladesh
    Description

    Bangladesh: Kidnappings per 100,000 people: Pour cet indicateur, The UN office on drugs and crime fournit des données pour la Bangladesh de 2005 à 2006. La valeur moyenne pour Bangladesh pendant cette période était de 0.9 kidnappings per 100,000 people avec un minimum de 0.8 kidnappings per 100,000 people en 2006 et un maximum de 0.9 kidnappings per 100,000 people en 2005.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Faisal Tareque Shohan (2025). CrimeDataBD: A Standard Dataset of Crime Records in Bangladesh for Machine Learning Tasks [Dataset]. http://doi.org/10.17632/d7vzpcdzcw.4

CrimeDataBD: A Standard Dataset of Crime Records in Bangladesh for Machine Learning Tasks

Explore at:
Dataset updated
Jun 9, 2025
Authors
Faisal Tareque Shohan
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Area covered
Bangladesh
Description

Type of data: Crime records in CSV format with numerical and textual values.

Data format: CSV.

Number of samples: 6,574 instances.

Crimes considered: Murder, Rape, Assault, Robbery, Kidnap, Body Found.

Number of classes: Six (corresponding to the crime categories).

Distribution of instances: Varies across crime types based on real-world occurrences.

How data are acquired: • Crime data collected from newspapers. • Socioeconomic data sourced from the National Census. • Weather data retrieved from a Weather API.

Data source locations: Bangladesh.

Where applicable: Suitable for crime classification, forecasting, and crime analysis.

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