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Collections - Dataful
Collections
Related datasets bundled by topic, one place for a whole line of questioning.
10 of 501 collections
Collection
Immovable Property Returns of IAS and IPS Officers
This collection contains datasets related to batch and cadre-wise-wise list of IAS and IPS Officers who have filed and not-filed their Immovable Property Return (IPR) Note: 1. The Government servants are required to file annual Immovable Property Return (IPR), under Rule 18(1)(ii) of the CCS (Conduct) Rules, 1964, with full particulars of their immovable property, such as inherited or held on lease or mortgage, either in their own name or in the name of any member of their family or in the name of any member of their family or in the name of any other person. 2. statement_date: This is the annual reference date. As per Rule 16(2) of All India Services (Conduct) Rules, 1968, every member of the service shall submit his/her Immovable Property Return (IPRs) in the prescribed form by 31st January of every year in respect of the previous year ending 31st December. 3. submission_date: This refers to the specific day the officer filed their return. If this field is empty, it indicates that while the officer did submit their IPR, the specific submission date was either not captured by the system or was unavailable in the source records.
4 datasets
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Collection
Damages due to train accidents
This collection contains details about the compensation paid for railway accidents, damage to railway property and the interruptions caused due to accidents
3 datasets
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Collection
NCRB Crime in India-Violent Crimes (Murder)
The Violent Crimes – Murder collection brings together a comprehensive set of datasets on murder cases recorded in India, compiled from the National Crime Records Bureau. The collection covers murder offences under the Indian Penal Code and presents data across multiple dimensions including year wise, state wise, city wise, and motive wise counts, along with chargesheeting rate and crime rate. It also includes detailed demographic profiles of murder victims classified by victim type, age group, and gender, enabling analysis of victimisation patterns across children, adults, and different age brackets. A key feature of this collection is its focus on motive based classification, covering causes such as personal vendetta, property disputes, dowry, honour killing, caste and communal violence, political reasons, gang rivalry, robbery or extortion, rape, kidnapping and abduction, terrorist or extremist violence, road rage, witchcraft, child or human sacrifice, psychopath or serial killings, blind murders where motive is unknown, and other causes. Together, these datasets provide a detailed view of the scale, intent, victim impact, regional variation, and prosecution outcomes of murder in India, supporting criminological research, public policy analysis, and law and order assessment.
9 datasets
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Collection
Offence wise Population of Prisoners from Prison Statistics India Reports, NCRB
This collection of datasets, derived from the National Crime Records Bureau (NCRB) Prison Statistics India reports, provides a detailed classification of the offences and criminal history of both convicted and undertrial prisoners. It distinguishes between crimes committed under the Indian Penal Code (IPC)—such as offences against the human body (murder, rape), property crimes (theft, burglary), and crimes against women (dowry deaths, cruelty)—and those falling under Special and Local Laws (SLL), including the NDPS Act, Arms Act, and the Prevention of Corruption Act. Beyond the nature of the charges, the collection monitors the patterns of recidivism across India, tracking the number of habitual offenders and their tendency to reoffend upon release. Available at both national and state levels, these datasets offer a critical empirical foundation for understanding the legal composition of the prison population, the prevalence of specific crime types within the judicial system, and the long-term effectiveness of rehabilitation and deterrence strategies.
10 datasets
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Collection
NCRB - Crimes Against Senior Citizens
This collection of datasets, extracted from the National Crime Records Bureau (NCRB) Crime in India reports, provides a comprehensive end-to-end analysis of the legal journey of crimes against senior citizens. It tracks the entire lifecycle of a case, beginning with police disposal status, documenting investigations, chargesheets submitted, and cases closed due to insufficient evidence or technical grounds (such as Section 157(1)(b) of the CrPC). The data is benchmarked against the Registrar General of India’s Census 2011 population figures to calculate essential metrics like the crime rate and chargesheet rate. The collection offers high granularity by categorising offences under major crime heads, including violent crimes (murder, rape, kidnapping), property offences (theft, robbery, fraud), and crimes specifically targeting elderly women. It further extends to the judicial disposal status, detailing court outcomes such as convictions, acquittals, discharges, and plea bargains. With additional gender-wise data on arrested persons, these datasets serve as a vital resource for policymakers and advocacy groups to evaluate the efficiency of law enforcement and the judicial system in protecting India’s elderly population.
21 datasets
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Collection
NCRB - Economic Crimes
This 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 datasets
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Collection
NCRB 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 datasets
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Collection
NCRB Crime in India-Violent Crimes (Kidnapping and Abduction)
The Violent Crimes – Kidnapping and Abduction collection provides detailed statistical coverage of kidnapping and abduction cases reported in India, as recorded by the National Crime Records Bureau. The collection includes datasets on cases reported, chargesheeting rate, and crime rate, along with extensive information on victim demographics, recovery status, and underlying purposes of kidnapping and abduction. Data is available at year wise, state wise, city wise, and metropolitan city levels, enabling granular regional analysis. The collection captures victim details classified by victim type child or adult, age group, and gender, and recovery outcomes such as persons recovered alive, persons recovered dead, unrecovered victims from previous years, unrecovered kidnapped and abducted persons, total recovered, and percentage recovery. It also documents the purpose of kidnapping and abduction, including ransom, murder, marriage, illicit intercourse, prostitution, begging, adoption, domestic servitude, forced labour or slavery, sale or selling of body parts, revenge, family disputes, property or civil disputes, unlawful activities, recovery of loans, wrongful confinement, camel racing, and other motives. Collectively, these datasets offer a comprehensive picture of patterns, motivations, victim vulnerability, and recovery outcomes in kidnapping and abduction crimes, making the collection valuable for research, policy formulation, and monitoring child and adult safety in India.
13 datasets
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Collection
National Multidimensional Poverty Index
The National Multidimensional Poverty Index is key in assessing advancements towards target 1.2 of the Sustainable Development Goals (SDGs) which aims at reducing “at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions” by 2030. NITI Aayog’s Multidimensional Poverty Index (MPI) is based on three dimensions — health, education, and standard of living — with each having a weightage of one-third in the index. These dimensions are further based on 12 segments — nutrition, child and adolescent mortality, maternal health, years of schooling, school attendance, cooking fuel, sanitation, drinking water, electricity, housing, assets, and bank accounts. There are two indices used for arriving at the MPI Value. MPI is the product of the following two indices. Headcount ratio which indicates how many are poor and the intensity of poverty which indicates how poor are the poor. The values are based on the NFHS survey reports.
2 datasets
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Collection
Sustainable Development Goals: India's Progress
The 17 Sustainable Development Goals are interconnected goals to address the global challenges faced by humanking, including those related to poverty, inequality, climate change, environmental degradation, peace and justice. These goals are to be achieved by 2030. In India, NITI Aayog is the nodal institution for achieving SDGs. Every year, since 2018, the institution publishes progress made towards these goals at national and state levels. This collection consists of datasets on composite scores of states and the performance of states with respect to each indicator under each goal.
2 datasets
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