Data · dataset · 2025
Crime Against Women (NCRB 2001-2022)
Listed in Teesside University Research Data Repository
The dataset encompasses comprehensive crime statistics related to offenses against women, extracted from 21 consecutive years of National Crime Records Bureau reports spanning 2001 to 2022.
Description
This longitudinal dataset provides a systematic overview of women-related crimes across India, offering insights into temporal trends in crime patterns. The data structure includes temporal coverage across two decades with national level geographic granularity as reported by the NCRB.
The dataset focuses on specific crime categories targeting women, including major offenses documented consistently across the study period. All numerical data has been organized systematically in Excel format to facilitate analysis and ensure accessibility for researchers. Key variables captured in the dataset include the year of reporting, specific crime types , and the corresponding number of reported cases.
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The dataset size represents thousands of individual data points accumulated over the two-decade period. Several important characteristics define this dataset's scope and reliability. The data reflects only officially reported crimes as compiled by law enforcement agencies and processed through NCRB's systematic reporting framework.
Completeness varies across years due to evolving reporting practices and occasional gaps in state-level submissions. Notable limitations include the inherent underreporting typical of crime statistics, particularly for offenses against women where social stigma may discourage formal complaints. Reporting practices, legal definitions, and administrative procedures evolved throughout the study period, potentially affecting data comparability across years.
Some crime categories were introduced or modified during the timeframe, creating occasional discontinuities in long-term trend analysis.
Links
Where it is published
- DOI doi.org/10.17632/dg9k2nyckk.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Gender studies · Social Science
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/dg9k2nyckk.2 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4405 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Gender Studies'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |