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Mean Income Distribution of Sri Lanka
Spatial and Statistical Analysis using GIS
Project Overview
This project examines the spatial variation of mean household income across
Sri Lanka using district-level census data. GIS-based thematic mapping and
exploratory statistical techniques were applied to understand regional
socio-economic disparities.
Study Area
The analysis covers all administrative districts of Sri Lanka, enabling
comparison between urban, semi-urban, and rural regions.
Data Sources
- District-wise Mean Household Income – Department of Census & Statistics
- Sri Lanka Administrative Boundary Shapefile
Methodology
- Data preprocessing and attribute joining
- Choropleth mapping using graduated colours
- Exploratory Data Analysis (EDA)
- Histogram, Box Plot, and Scatter Plot analysis
Mean Income Choropleth Map
The map illustrates spatial income disparities, with higher income
concentrations observed in more urbanised districts.
Statistical Visualisation
Income Histogram
Income Box Plot
Income Scatter Plot
Key Findings
- Significant income variation exists among districts
- Urban districts show consistently higher income levels
- Income distribution is right-skewed with notable outliers
Tools & Skills
- ArcGIS Desktop, MS Excel
- Socio-economic GIS analysis
- Choropleth mapping
- Statistical data visualisation
Conclusion
This project demonstrates the integration of GIS and statistical analysis
to explore socio-economic patterns, supporting evidence-based planning
and development decisions.