Population Distribution & Density of Tunis (2024)

Project Overview

This project presents a comparative spatial analysis of population distribution and population density across municipalities in the Tunis Metropolitan Area for the year 2024. The maps highlight demographic concentration patterns and variations in urban intensity to support urban planning and socioeconomic assessment.

Study Area

The study area covers the Tunis Metropolitan Area located in northern Tunisia along the Mediterranean coast. The region consists of densely populated urban cores, coastal municipalities, and peripheral suburban zones with varying population characteristics.

Data Sources

Municipal population statistics (2024) – National Institute of Statistics, Tunisia
Municipal administrative boundaries – Tunisia administrative data
Basemap data – Esri & OpenStreetMap contributors

Methodology

Data preprocessing and municipal boundary verification
Classification of population distribution using choropleth mapping
Population density calculation (population per square kilometre)
Comparative visualisation of absolute population vs density patterns
Cartographic layout design with legend, scale bar, and north arrow

Population Maps of Tunis (2024)

The population distribution map illustrates the total population within each municipality, while the population density map highlights urban intensity by representing population per square kilometre. Together, the maps reveal contrasts between large municipalities with moderate density and smaller municipalities with very high population concentration.

Population Classification

Population Distribution (by municipality)
Population Density (persons per sq km)
Low to very high population concentration zones
Urban core vs peripheral municipality comparison

Key Observations

Central municipalities exhibit the highest population densities
Peripheral municipalities show lower densities despite large land areas
Coastal municipalities display moderate to high population concentration
Population density patterns better reveal urban pressure than total population alone

Tools & Skills

ArcGIS Pro
Choropleth mapping and demographic analysis
Population density calculation
Cartographic design and map composition

Conclusion

This project demonstrates the importance of combining population distribution and population density maps to better understand urban demographic patterns. The comparative approach supports evidence-based urban planning, infrastructure development, and socioeconomic decision-making in metropolitan regions.