: Objective of the study is to identify sub-state regions with significantly high and low prevalence
of smoking tobacco We also explored whether smoking was spatially correlated with the different background
variables like education, occupation etc in order to find its present condition so that control intervention can be
done. Methods: We used data from the cross-sectional survey DLHS-4 (2012-2013) of northeast state, India.
The spatial autocorrelation between the smokeless tobacco and various socio-demographic variables were
calculated and spatial maps were generated using QGIS and GeoDa. Conclusion: Results along with earlier
evidence on the prevalence of smokeless tobacco suggest that local public health action on tobacco consumption
might help to reduce its consumption. Surveys that properly represent tobacco and alcohol consumptions at the
district level are recommended.