Districtwise IPC crimes 2016
The data of IPC (Indian Penal Code) crimes in each district is a crucial aspect of understanding a region's law and order situation. This data provides valuable insights into the prevalence and nature of criminal activities across districts. Data on IPC crimes in each district is a powerful tool for maintaining law and order, devising crime prevention strategies, and ensuring the safety and security of citizens. It serves as the foundation for evidence-based policymaking and targeted law enforcement efforts.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| year | text | Year | |
| state_name | text | State Name | |
| state_code | text | State Code | |
| district_name | text | District Name | |
| district_code | text | District Code | |
| registration_circles | text | Registration Circles | |
| murder | numeric | Murder | |
| attempt_to_commit_murder | numeric | Attempt To Commit Murder | |
| culpable_homicide_not_amounting_to_murder | numeric | Culpable Homicide Not Amounting To Murder | |
| attempt_to_commit_culpable_homicide | numeric | Attempt To Commit Culpable Homicide | |
| rape | numeric | Rape | |
| attempt_to_commit_rape | numeric | Attempt To Commit Rape | |
| kidnapping_and_abduction | numeric | Kidnapping And Abduction | |
| dacoity | numeric | Dacoity | |
| mkng_preparation_and_assembly_for_comm_dacoity | numeric | Making Preparation And Assembly For Committing Dacoity | |
| robbery | numeric | Robbery | |
| criminal_trespass_or_burglary | numeric | Criminal Trespass Or Burglary | |
| theft | numeric | Theft | |
| unlawful_assembly | numeric | Unlawful Assembly | |
| riots | numeric | Riots | |
| criminal_breach_of_trust | numeric | Criminal Breach Of Trust | |
| cheating | numeric | Cheating | |
| forgery | numeric | Forgery | |
| counterfeiting | numeric | Counterfeiting | |
| arson | numeric | Arson | |
| grievous_hurt | numeric | Grievous Hurt | |
| dowry_deaths | numeric | Dowry Deaths | |
| assault_on_women | numeric | Assault On Women With Intent To Outrage Her Modesty | |
| insult_to_the_modesty_of_women | numeric | Insult To The Modesty Of Women | |
| cruelty_by_husband_or_his_relatives | numeric | Cruelty By Husband Or His Relatives | |
| importation_of_girls_from_foreign_country | numeric | Importation Of Girls From Foreign Country | |
| causing_death_by_negligence | numeric | Causing Death By Negligence | |
| offences_against_state | numeric | Offences Against State | |
| offences_promoting_enmity_between_diff_grp | numeric | Offences Promoting Enmity Between Different Groups | |
| extortion | numeric | Extortion | |
| disclosure_of_identity_of_victims | numeric | Disclosure Of Identity Of Victims | |
| incidence_of_rash_driving | numeric | Incidence Of Rash Driving | |
| human_trafficking | numeric | Human Trafficking | |
| unnatural_offence | numeric | Unnatural Offence | |
| other_ipc_crimes | numeric | Other Ipc Crimes |
Additional Information
| Field | Value |
|---|---|
| Data last updated | December 2, 2024 |
| Metadata last updated | December 3, 2024 |
| Created | December 2, 2024 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://ncrb.gov.in/crime-in-india.html |
| Data insights | Analyzing the count of IPC (Indian Penal Code) crimes in each district provides valuable insights into the law and order situation. Identifying districts with the highest crime rates allows law enforcement agencies to allocate resources effectively to address security challenges in those areas. Examining the data over time can reveal whether crime rates are increasing, decreasing, or remaining stable in specific districts. This trend analysis helps in understanding the effectiveness of crime prevention efforts. So, the count of IPC crimes in each district provides a wealth of insights that inform law enforcement, policymaking, and community engagement efforts. It plays a crucial role in maintaining public safety and ensuring effective law and order across regions. |
| Data last updated | 01-08-2024 |
| Data retreival date | 2024-07-01 00:00:00 |
| Datastore active | True |
| District no | 12 |
| Frequency | Yearly |
| Granularity | District |
| Has views | True |
| Id | 5d39fecd-f263-4186-9266-dee01deeecf9 |
| Idp ready | True |
| Methodology | The methodology for collecting data on IPC (Indian Penal Code) crimes in districts is meticulous and systematic. It begins with reports from various sources, which law enforcement agencies receive and use to register FIRs (First Information Reports). Crimes are then categorized by relevant IPC sections and carefully documented. Trained personnel input this information into a central database, subjecting it to thorough quality control and privacy safeguards. The data is shared with government agencies and the public for research purposes, aiding law enforcement, resource allocation, and crime prevention. Regular reviews and technology integration enhance the effectiveness of this methodology, ensuring accurate and privacy-compliant crime data collection and analysis. |
| No indicators | 34 |
| Package id | db72aca9-7907-456c-a7f5-407ecd3d0fc6 |
| Position | 9 |
| Size | 3.9 KiB |
| Sku | ncrb-cii_ipc_crimes_prv-dt-yr-him |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2,016 |
| Methodology | The methodology for collecting data on IPC (Indian Penal Code) crimes in districts is meticulous and systematic. It begins with reports from various sources, which law enforcement agencies receive and use to register FIRs (First Information Reports). Crimes are then categorized by relevant IPC sections and carefully documented. Trained personnel input this information into a central database, subjecting it to thorough quality control and privacy safeguards. The data is shared with government agencies and the public for research purposes, aiding law enforcement, resource allocation, and crime prevention. Regular reviews and technology integration enhance the effectiveness of this methodology, ensuring accurate and privacy-compliant crime data collection and analysis. |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://ncrb.gov.in/crime-in-india.html |
| Data Retreival Date | 2024-07-01 00:00:00 |
| Data Last Updated | 01-08-2024 |
| Sku | ncrb-cii_ipc_crimes_prv-dt-yr-him |
| Dataset Frequency | Yearly |
| Years Covered | 2016.0 |
| No of States/UT(s) | 1 |
| No of Districts | 12 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 34 |
| Insights from the dataset | Analyzing the count of IPC (Indian Penal Code) crimes in each district provides valuable insights into the law and order situation. Identifying districts with the highest crime rates allows law enforcement agencies to allocate resources effectively to address security challenges in those areas. Examining the data over time can reveal whether crime rates are increasing, decreasing, or remaining stable in specific districts. This trend analysis helps in understanding the effectiveness of crime prevention efforts. So, the count of IPC crimes in each district provides a wealth of insights that inform law enforcement, policymaking, and community engagement efforts. It plays a crucial role in maintaining public safety and ensuring effective law and order across regions. |
| IDP Ready | Yes |