Collections - Dataful

CollectionNCRB - Economic CrimesThis collection provides year wise data on economic crimes across India and its States and Union Territories, covering criminal breach of trust, forgery, cheating, fraud and counterfeiting. It includes reported cases, property loss ranges, police and court disposal, pending investigations and trials, and key crime, chargesheeting and conviction rates, helping users examine trends in economic crime and how cases progress through the criminal justice system.17 datasetsView →

CollectionNCRB - Crimes Against ForeignersThe Crimes Against Foreigners in India collection, based on National Crime Records Bureau data, provides comprehensive year wise statistics on offences committed against foreign nationals and foreign tourists in India across multiple dimensions including country of origin, state, and crime head. The datasets cover a broad range of offences under the Indian Penal Code and Special and Local Laws, including murder, simple hurt, grievous hurt, attempt to commit murder or culpable homicide, culpable homicide not amounting to murder, cheating, forgery, theft, robbery, dacoity, extortion, kidnapping and abduction, rape, assault on women with intent to outrage modesty, insult to the modesty of women, human trafficking, immoral traffic prevention offences, and other IPC and SLL crimes. The collection distinguishes between crimes against tourist foreigners, other foreign nationals, and total crimes against foreigners, enabling analysis of victimisation patterns by nationality and travel status.7 datasetsView →

CollectionNCRB Crime in India (Summary)The NCRB Crime in India (Summary) collection provides a consolidated national-level statistical view of all cognizable crimes recorded annually across India. Compiled from the National Crime Records Bureau (NCRB), this collection aggregates data on offences registered under the Indian Penal Code (IPC) and Special and Local Laws (SLL) across the country at year-wise, state-wise, city-wise and crime-head levels. The collection includes metrics on the number of cases registered, crime rate, chargesheet rate, FIRs and online e-FIRs, covering both overall totals and disaggregation by legal categories. For IPC crimes, the collection captures offences affecting the human body such as murder, rape, kidnapping and abduction, human trafficking, culpable homicide, assault, hurt, cruelty by husband or relatives, miscarriage, foeticide, dowry deaths, and abetment of suicide, offences against property such as burglary, theft, robbery, dacoity, criminal breach of trust, extortion and blackmailing, and offences relating to public tranquility including riots, unlawful assembly and enmity between groups, as well as miscellaneous crimes including arson, forgery, cheating and fraud, rash driving, religion-related offences and criminal intimidation. For SLL crimes, the collection includes offences registered under a wide range of laws including the Arms Act, NDPS Act, IT Act, Wildlife Act, Dowry Prohibition Act, SC/ST Prevention of Atrocities Act, POCSO Act, Child Labour Act, Juvenile Justice Act, Domestic Violence Act, Chit Funds Act, Prevention of Corruption Act, Prohibition of Child Marriage Act, Environmental and Pollution Control Acts, Motor Vehicle Act, Passport Act, Explosives Act, Gambling Act, Bonded Labour Act, and State-specific Police Acts, covering categories such as illegal arms, trafficking, prostitution, corruption, narcotics, online cyber offences, child protection, excise violations, counterfeit currency and environmental violations.14 datasetsView →

CollectionNCRB - Disposal of Cases by CourtsThe Disposal of Cases by Courts in India collection, based on National Crime Records Bureau data provides comprehensive data on the progress and outcomes of criminal cases within India's judicial system. The collection covers both Indian Penal Code (IPC) crimes and Special and Local Laws (SLL) offences, offering insights into how cases move through courts across different crime categories and states. It includes detailed information on court disposal outcomes such as convictions, acquittals, discharges, plea bargaining, compounded cases, withdrawals from prosecution, quashed cases, cases abated by courts, and cases pending trial. The datasets also provide key judicial performance indicators including conviction rates, pendency percentages, total cases for trial, and cases disposed by courts. In addition to crime-wise and state-wise court disposal statistics, the collection includes data on the duration of trial completion, service of arrest-related court processes, and the age profile of pending cases under both IPC and SLL categories. The covered offences span major crime groups such as murder, rape, kidnapping and abduction, human trafficking, assault, theft, robbery, dacoity, riots, cheating, forgery, cyber offences, narcotics offences, corruption cases, crimes against women and children, offences under the SC/ST (Prevention of Atrocities) Act, and numerous other Special and Local Laws. Together, these datasets enable analysis of judicial efficiency, conviction trends, case backlog, trial delays, prosecution outcomes, and the overall functioning of India's criminal justice system.7 datasetsView →

CollectionCorporate Social Responsibility (CSR) StatisticsThe Corporate Social Responsibility concept in India is governed by Section 135 of the Companies Act, 2013 (Act), Schedule VII of the Act and Companies (CSR Policy) Rules, 2014 wherein the criteria has been provided for assessing the CSR eligibility of a company, Implementation and Reporting of their CSR Policies. This Collection contains datasets on expenditure details, project reports, registration details of companies under CSR Note about discrepancies: Any discrepancies in the data between the MCA's CSR portal and this dataset are due to certain duplicate entries in the MCA CSR portal. In some of these cases, the company name appears differently, even though the CIN is the same. As per the official source, the data for both companies is exactly the same. Further, company names that were repeated due to non-standard formatting, such as extra spaces or other data-cleaning issues, have been standardised. For instance, S. B. MULTIMEDIA PRIVATE PRIVATE LIMITED was standardised to S. B. MULTIMEDIA PRIVATE LIMITED, and R E-ROGERS INDIA PRIVATE LIMITED was standardised to R.E. ROGERS INDIA PRIVATE LIMITED as the same company had duplicate entries with minor variations in names and with same CIN. Other notes: 1. The CSR Official Portal is updated on a regular basis as companies submit their CSR disclosures. Consequently, the CSR data for FY 2024–25 available on Dataful will continue to be updated as new information becomes available on the official portal. 2. Please note that there may be discrepancies in the units for the project_amount_outlay and amount_spent columns. All the values & units in the datasets are shown exactly as presented in the source. 3. Year-wise count of companies in this dataset may not match with that of the original source as the duplicate entries for each year were removed in this dataset. The original source had duplicate rows for hundreds of companies. 4. Nec/Not Mentioned means Not Elsewhere Covered 5. Pan India means companies either did not specify the names of States or indicated more than one State where projects were undertaken 6. All India is different from Pan India. All India means all States put together or total of all the states 7. CIN is the unique field, not the company name8 datasetsView →