Population Growth Prediction Model

Version 2.0.2 (3.16 MB) by Daniel
TECH FOR FIT I -Population Growth Prediction Model
124 Downloads
Updated 9 May 2025

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This MATLAB program predicts future population trends by considering multiple influencing factors such as GDP, fertility rate, and mortality rate. It is intended for researchers and students who are seeking insights into demographic changes through a comprehensive and realistic modeling approach. The model aims to provide a more accurate alternative to simple trend based predictions, allowing users to compare raw population projections with more realistic projections that account for external variables.
Key Features
  • Multi Factor Modeling: Incorporates economic, healthcare, and urbanization data for more reliable population forecasts.
  • Raw vs. Realistic Comparison: Easily compare basic trend based predictions with factor adjusted, more realistic predictions.
  • Clear Data Visualization: Generates clean, well-labeled graphs that display predicted trends based on selected influencing factors.
  • Structured Code: Organized in a clear way that allows researchers and students to easily follow the modeling process and adjust inputs as needed.
  • Adaptability: Can be updated with new datasets and applied to different countries or regions.
  • Resource Efficient: Designed to run efficiently on the MATLAB system without the need for additional specialized software.
Target Audience
This tool is aimed at researchers, students, and anyone interested in studying population growth beyond simple trend extrapolation, focusing on understanding how different variables influence demographic change.
Datasets
Users must download the provided Excel sheets for population and influencing factor data. Updated, newer or customized datasets can be substituted in, as long as the formatting is consistent with the examples.

Cite As

Daniel (2025). Population Growth Prediction Model (https://www.mathworks.com/matlabcentral/fileexchange/181047-population-growth-prediction-model), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2024b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
2.0.2

Target Audience

2.0.1

Audients

2.0.0

Key Features, Datasets

1.0.0