Women Vulnerability Index (WVI): Multi Criteria Decision Making Approach


  • Seema Aggarwal, Geeta Aggarwal, Manisha Bansal


Women Vulnerability Index, Crime against Women in India, Multiple Criteria decision making, TOPSIS.


Crime against women, a never-ending issue is a sad reality that demands focused attention. The occurrence of crimes in different states in India varies a lot. Multi-Criteria Decision Making (MCDM) method, called TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is applied on real occurrences of crime to develop women vulnerability index (WVI).   This index measures the susceptibility of women to crime in any region of India. This marks the first instance of applying MCDM technique (TOPSIS) to derive such an index for crime against women. The index will equip the law enforcing agencies and various NGOs to assess the susceptibility of Indian women in different regions and take appropriate action for mitigation of such crimes to create a safe environment for women. We find that states like Mizoram, Nagaland, Sikkim in northeast India and Lakshadweep Islands in southern India have very low values of the index and are the safest places for women. On the other hand, Uttar Pradesh, Delhi, Haryana, Rajasthan, and Bihar are Indian states where women are most susceptible to crime having very high values of WVI.


Download data is not yet available.


Crime Against Indian Women – Women Crime Susceptibility Indexes (WCSI): A Principal Component Analysis. Goel, P. and Yadav, V. 7, 2013, OIDA International Journal of Sustainable Development, Vol. 6, pp. 93-102.

Mukherjee, Chandan, Rustagi, Preet and Krishnaji, N. Crimes against Women in India: Analysis of Official Statistics. Economic and Political Weekly. s.l. : Economic and Political Weekly, 2001, pp. 4070-4080.

Crime Against Women in India: Trend and regional variation. Sinha, Anup and Singha, Pratiti. 2015, International Journal of Advanced Research (IJAR), pp. 1403-1406.

Women and Crime in India. Kanjilal, Mahananda. 2022, International Journal for Research in Applied Science & Engineering Technology (IJRASET).

GENDER VULNERABILITY INDEX REPORT - I. [Online] https://smartnet.niua.org/sites/default/files/resources/gender-vulnerability-index.pdf.

A Configurational Approach for Measuring the Accessibility of Place as an Analysis Tool for Crime Risk Vulnerability. Coppola, Francesca, Grimaldi, Michele and Fasolino, Isidoro. 2021. International Conference on Innovation in Urban and Regional Planning.

Identifying Priority Neighbourhoods Using the Vulnerable Localities Index, Policing. Chainey, Spencer. 2008, A Journal of Policy and Practice, pp. 196-209.

Different Measures of Vulnerability in their Relation to Different Dimensions of Fear of Crime. Killias, Martin and Clerici, Christian. 2000 , , The British Journal of Criminology, pp. 437-450.

Vulnerability to domestic physical violence among married women in Indonesia. Putra, I G N E., Pradnyani, P E. and Parwangsa, N W P L. 2019, Journal of Health Research, pp. 90-105.

Predicting Vulnerability of Indian Women to Domestic Violence Incidents Debarchana Ghosh* University of Minnesota. Ghosh, D. 2007, Research and Practice in Social Sciences , pp. 48-72.

Domestic violence against women and HIV vulnerability in Nigeria. Oyekale, A. S. 2014, Mediterranean journal of social sciences.

Subordination of gender: reflecting on the vulnerability to domestic violence against women. Piosiadlo, L. C. M., Fonseca, R. M. G. S. D. and Gessner, R. 2014, pp. 728-733.

A Systematic Review of the Applications of Multi-Criteria Decision Aid Methods (1977-2022). Basilio, Marcio, et al. 2022, Electronics.

Multiple Attribute Decision Making: Methods and Applications. Hwang, CL. and Yoon, K. 1981, Lecture Notes in Economics and Mathematical Systems, p. .

Crime against Women: Women vulnerability index and female labour force participation. Sajwan, Rashmi. 2021, International Journal of Scientific & Engineering Research, pp. 244-248.

Crime in India: specification and estimation of violent crime index. Chaudhuri, Kausik, Chowdhury, Payel and Kumbhakar, Subal. 2015, Journal of Productivity Analysis, Vol. 43.

A Fuzzy Multicriteria Decision-Making Approach to Crime Linkage. Goala, S. and Dutta, P. 2018, International Journal of Information Technologies and Systems Approach, pp. 31-50.

A Study of Multi Criteria Decision Analysis of Accident data for Indian states. Sharma, Pankaj, et al. 1, 2021, IOP Conference Series: Earth and Environmental Science, Vol. 796, p. 012036.

Crime Against Women and Girls in Indian states: Analysis Visualization and Prediction. Aggarwal, S., Aggarwal, G. and Bansal, M. 4, 2023, International Journal of Innovation and Multidisciplinary Research (IJIAMR), Vol. 3, pp. 21-31.

Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods. Yang, W, et al. 2018, Ecological Indicators, pp. 269-280.




How to Cite

Geeta Aggarwal, Manisha Bansal, S. A. . (2024). Women Vulnerability Index (WVI): Multi Criteria Decision Making Approach. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1232–1238. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5575



Research Article