Districtwise crime against women
Crime data on women's safety in each district is of great importance for lawmaking and policy development. It helps identify the prevalence, trends, and patterns of such crimes, enabling evidence-based decision-making. This data aids in resource allocation and intervention strategies in areas with high incidence rates, while also evaluating the effectiveness of existing measures and the need for new legislation. Furthermore, it raises awareness about the challenges women face, promoting societal commitment to gender equality and women's safety. Ultimately, it plays a crucial role in shaping laws and policies to prevent and address crimes against women.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| year | date | Year | |
| state_name | text | State name | |
| state_code | text | State code | |
| district_name | text | District name | |
| district_code | text | District code | |
| registeration_circles | text | Case Registered in Circle | |
| murder_with_rape_or_gang_rape | numeric | Number of murder with Rape/Gang Rape | |
| dowry_deaths | numeric | Number of Dowry Deaths (Sec. 304B IPC) | |
| abetment_to_suicide_of_women | numeric | Abetment to Suicide of Women (Sec. 305/306 IPC) | |
| miscarriage | numeric | Number of Miscarriages (Sec. 313 & 314 IPC) | |
| acid_attack | numeric | Number of Acid Attacks (Sec. 326A IPC) | |
| attempt_to_acid_attack | numeric | Number of Attempt to Acid Attack (Sec. 326B IPC) | |
| cruelty_by_husband_or_his_relatives | numeric | Number of incidents of Cruelty by Husband or his relatives (Sec. 498 A IPC) | |
| kidnapping_and_abduction_of_women_total | numeric | Number of Kidnapping & Abduction of Women (Total) | |
| human_trafficking | numeric | Human Trafficking (Sec. 370 & 370A IPC) | |
| selling_of_minor_girls | numeric | Selling of Minor Girls (Sec. 372 IPC) | |
| buying_of_minor_girls | numeric | Buying of Minor Girls (Sec. 373 IPC) | |
| rape | numeric | Number of Rape incidents | |
| attempt_to_commit_rape | numeric | Attempt to Commit Rape | |
| assault_on_women_with_intent_to_outrage_her_modesty | numeric | Assault on Women with Intent to Outrage her Modesty | |
| insult_to_the_modesty_of_women | numeric | Insult to the Modesty of Women | |
| dowry_prohibition | numeric | Dowry Prohibition Act, 1961 | |
| immoral_traffic_prevention_act_total | numeric | Immoral Traffic (Prevention) Act, 1956 (Total) | |
| protection_of_women_from_domestic_violence_act | numeric | Protection of Women from Domestic Violence Act | |
| cyber_crimes_or_infor_tech_women_centric_crimes | numeric | Number of Cyber Crimes/Information Technology Act (Women Centric Crimes only) | |
| prot_of_children_frm_sexual_viol_girl_child_victims | numeric | Protection of Children from Sexual Violence Act (Girl Child Victims only) (Total) | |
| indecent_representation_of_women_prohibition | numeric | Indecent Representation of Women (Prohibition) Act, 1986 | |
| total_crime_against_women | numeric | Total Crime against Women (IPC+SLL) |
Additional Information
| Field | Value |
|---|---|
| Data last updated | June 5, 2024 |
| Metadata last updated | June 5, 2024 |
| Created | unknown |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Created | 4 months ago |
| Frequency | Yearly |
| Size | 12,545 |
| Additional info | nan |
| Data extraction page | https://ncrb.gov.in/crime-in-india.html |
| Data insights | Insights that can be drawn from the Districtwise crime against women data in Meghalaya include analyzing trends over different years to understand variations in crime rates, comparing crime rates between districts to identify regional disparities in women's safety, pinpointing high-risk areas with higher incidences of specific crimes for targeted interventions, and categorizing crimes to gain a comprehensive understanding of the types of offenses against women in the region. These insights can inform policy decisions and strategies to address and prevent crimes against women effectively. |
| Data last updated | 2,021 |
| Data retreival date | 2023-10-01 00:00:00 |
| Datastore active | True |
| District no | 11 |
| Granularity | District |
| Has views | True |
| Id | bb256c10-4d0b-44c8-8fb3-96e5a71162ce |
| Idp ready | True |
| Methodology | The methodology for collecting data on crimes against women in districts is multifaceted. It begins with law enforcement, where police file reports based on victim statements. Medical examinations are conducted in cases of physical violence, providing crucial evidence. Specialized counselors and NGOs offer support and often report incidents. Legal processes track cases, and a dedicated database records all data, prioritizing victim privacy. Periodic audits maintain data accuracy. This comprehensive approach ensures the thorough documentation of crimes against women, enabling informed policymaking and targeted interventions for women's safety and rights. |
| No indicators | 22 |
| Package id | c0c57ded-d115-40af-85a4-b5c22709b86c |
| Position | 6 |
| Sku | ncrb-cii_crime_against_women-dt-yr-meg |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2016-2021 |
| Methodology | The methodology for collecting data on crimes against women in districts is multifaceted. It begins with law enforcement, where police file reports based on victim statements. Medical examinations are conducted in cases of physical violence, providing crucial evidence. Specialized counselors and NGOs offer support and often report incidents. Legal processes track cases, and a dedicated database records all data, prioritizing victim privacy. Periodic audits maintain data accuracy. This comprehensive approach ensures the thorough documentation of crimes against women, enabling informed policymaking and targeted interventions for women's safety and rights. |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://ncrb.gov.in/crime-in-india.html |
| Data Retreival Date | 2023-10-01 00:00:00 |
| Data Last Updated | 2021 |
| Sku | ncrb-cii_crime_against_women-dt-yr-meg |
| Dataset Frequency | |
| Years Covered | 2016-2021 |
| No of States/UT(s) | 1 |
| No of Districts | 11 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 22 |
| Insights from the dataset | Insights that can be drawn from the Districtwise crime against women data in Meghalaya include analyzing trends over different years to understand variations in crime rates, comparing crime rates between districts to identify regional disparities in women's safety, pinpointing high-risk areas with higher incidences of specific crimes for targeted interventions, and categorizing crimes to gain a comprehensive understanding of the types of offenses against women in the region. These insights can inform policy decisions and strategies to address and prevent crimes against women effectively. |
| IDP Ready | Yes |