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Numbers with Purpose: A Dive into Aid to Kenya

  • Writer: Tim Neill
    Tim Neill
  • May 4
  • 4 min read

Updated: Jun 19

While reading the Financial Times recently, I found myself drawn into an article on international aid to Kenya written by William Wallis. He provoked a question that I couldn’t shake: where exactly does financial aid to Kenya go, and how is it truly making a difference on the ground? and, what could happen if the money stopped? That curiosity prompted me to dig deeper into the flow of funding and the real-world impact behind the headlines.


What I discovered was eye-opening. Aid to Kenya has helped fund life-saving health programs, including HIV/AIDS prevention through the U.S. President's Emergency Plan for AIDS Relief(PEPFAR), and malaria reduction initiatives that have significantly cut child mortality rates. Other funds have gone into bolstering food security, especially during times of drought, and supporting democratic governance through election monitoring and anti-corruption efforts. This deeper understanding of how international aid translates into tangible change inspired me to launch this project—to track, analyze, and tell the story behind the numbers.


Why This Project:

The idea for this project started with a simple goal: I wanted to sharpen my SQL skills. As someone interested in financial data, I became curious about how international aid is actually used. With everything happening in Kenya, I began exploring how funds from the International Development Association (IDA), part of the World Bank Group, were being allocated. The IDA supports 78 of the world’s poorest countries through grants and low-interest loans, aiming to improve lives and support sustainable development. This project was not just about running queries—it was about understanding how financial decisions affect a country facing real challenges. I aimed to address a significant business question:

How is international aid to Kenya being distributed, and what can the data tell us about its effectiveness?

What You Will Gain:

In this article, you’ll learn about the financial landscape of loans given to Kenya by the World Bank, including a brief overview of the Top 5 projects that received funds.


Key Takeaways:
  • International Aid Has a Clear and Measurable Impact

  • Financial Gaps and Cancellations Highlight Systemic Issues

  • Kenya’s Debt to the IDA Is Substantial and Growing


Analysis Process:

My analysis process began with checking the data for accuracy and cleaning anytning that needed attention. I then used SQL queries; commands like WHERE, ORDER BY, AS, GROUP BY, MAX/MIN, etc. to gain insight to what the numbers were telling me.


The first question I ask myself when dealing with any dataset, is "How much data am I actually dealing with?" Turns out this dataset has almost 1.4 Million rows of data and 29 fields.


SQL query screenshot with code counting rows in "worldbank_data" table. Result shows "Row_Count" as 1,389,754. Black background.
SQL query and results showing number of rows in dataset. There isn't a direct SELECT query that will give you the number of fields, easiest thing to do is get all the data, LIMIT the results and count the fields manually.

SQL query code is displayed with the command "SELECT * FROM worldbank_data LIMIT 10" above a data table showing financial records.
SQL query and results showing number of fields in dataset. Time to start drilling down into the data that just involves Kenya. Let's find out how many transactions involve Kenya and how much has been disbursed in USD ($).

SQL query and table displaying top 5 Kenya projects by funds disbursed. Projects listed with disbursed amounts. Black background.
Nearly 1.4 Trillion USD has been given to Kenya as aid. The journey continues to find the Top 5 programs that are receiving the funds (and how much each has received in USD).

Table listing projects with columns: Project Name, Description, Industry/Infrastructure, and Project Years, detailing various initiatives.
More information on the projects that Kenya has put nearly $250B into.


SQL query image analyzing loan data in Kenya with a table showing projects and financial figures. Black background, text in gray.
Now, let's take a look at the other financials (Disbursed, Undisbursed, Cancelled) when it comes to these 5 projects, also, is an money owed back to the IDA?

SQL query displayed above a table of project data, listing project names, credit lines, and financial info related to Kenya.
Even with just over $500 Million in debt cancelled, Kenya still owes the IDA nearly $225 Billion. Taking a deeper dive, let's find the number of lines of credit extended for each of the top 5 projects and the biggest payment on each still owed to the IDA.

SQL query image identifying top 10 countries owing to IDA, followed by a table listing countries like India and Bangladesh with amounts owed.
These are just the numbers from the top 5 projects, when compared to other countries, Kenya ranks 8th in funds owed to the IDA.

Insights:

Massive Investment, Focused Impact

Nearly $1.4 Trillion USD in international aid has been directed to Kenya, with the Top 5 projects alone receiving almost $250 Billion USD. These funds primarily support health, food security, and democratic governance.


Over $500 Million Cancelled: A Red Flag?

Despite large investments, over $500 Million USD in aid has been cancelled across the top projects—raising questions about implementation issues, shifting priorities, or administrative inefficiencies.


Debt Remains a Heavy Burden

Kenya currently owes nearly $225 Billion USD to the IDA, even after cancellations and disbursements—highlighting the growing challenge of balancing development aid with long-term debt sustainability.


Kenya is the 8th Highest Debtor to the IDA

In global comparison, Kenya ranks 8th in total funds owed to the IDA, underscoring its significant reliance on concessional loans within the World Bank’s aid ecosystem.


Call To Action:

I invite you to connect with me on LinkedIn! If you or someone you know is looking to hire a data analyst, let’s chat. I’d love to hear your thoughts on this analysis or any questions you might have.

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