# East Africa Poverty Scenarios under SSP3 and SSP4
This project dives into the analysis of population count of those living under $1.90 a day in East Africa - Kenya, Uganda, Tanzania, Rwanda and Burundi.
The data runs from 2010 to 2100
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# The Table of Cotents
* About the Project
* Objectives
* Data & Tech Stack
* Results
* Conclusion and Recommendation
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## About the Project
The project utilizes data from the World Bank Climate Knowledge Portal (CCKP). (
climateknowledgeportal.worl…)
This project uses two Shared Socioeconomic Pathways (SSPs) to model
poverty projections in East Africa from 2010 to 2100:
- **SSP3 - Regional Rivalry**: A fragmented world with slow economic
growth, high population growth in developing regions, and poor
international cooperation. Represents a high-poverty risk scenario.
- **SSP4 - Inequality**: A divided world where elites and wealthy
nations advance while poorer regions are left behind, leading to
extreme inequality both within and between countries.
Both scenarios were selected to highlight worst-case poverty and
inequality risks for the region, supporting analysis of progress
toward SDG 1 (No Poverty).
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## Objectives
- Clean and structure World Bank CCKP poverty data (SSP3 and SSP4)
for East African countries
- Visualize poverty trends (population living under $1.90/day)
from 2010 to 2100 for each country
- Compare SSP3 and SSP4 scenarios to understand how different
socioeconomic pathways affect poverty outcomes in the region
- Assess progress toward SDG 1 (No Poverty) by analyzing projected
poverty levels at the 2030 target year
- Identify the most and least vulnerable countries in East Africa
based on projected poverty trends
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## Data and Tech Stack
* **Dataset: [
climateknowledgeportal.worl…]
* **Language:**Python 3
* ** Libraries""*`pandas` (Data manipulation and cleaning)
*`numpy` (numerical computing)
*`matplotlib & Seaborn` (Data visualization)
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