When More Money Doesn’t Mean Better Health: What 20 Years of Data Reveal About Nigeria’s Health Outcomes

🩺 “If we’re spending more, why are we not getting healthier?”

That was the question that started this project.

For years, health budgets in Nigeria have grown. Policymakers have promised reforms, programs, and initiatives to make care more accessible.

But one uncomfortable truth kept echoing through the data:

Money doesn’t always translate into health.

Why I Looked Into the Numbers

I wanted to understand how our investments, in hospitals, primary care, and public health actually show up in the lives of ordinary Nigerians.

So, I turned to real-world data:

• Health spending (% of GDP)
• Life expectancy at birth
• Maternal mortality ratio
• Infant mortality rate

All spanning from 2000 to 2022, sourced from the World Bank.

Using Python and regression analysis, I explored a simple but powerful question:

Does more health spending lead to better health outcomes in Nigeria?

📊 What the Data Said and What It Didn’t

1️⃣ Life Expectancy: The Flat Line

When I plotted health spending against life expectancy, I expected a clear upward trend. Instead, the graph was nearly flat.

The regression confirmed it, no significant relationship (R² = 0.002,

p = 0.832).

In simpler terms:

Nigeria’s health spending has gone up, but life expectancy hasn’t followed.

This doesn’t mean spending doesn’t matter, it means how we spend matters more. Inefficiency, corruption, and weak systems can swallow up even the largest budgets.

The data tells us we’re trying, but not effectively.

2️⃣ Maternal Mortality: The Glimmer of Hope

Then came a brighter story.

When I analyzed maternal mortality, the results flipped. Every increase in health expenditure was associated with a significant drop in maternal deaths (R² = 0.247, p = 0.016).

The numbers told a story of impact.

Behind those data points are mothers who survived childbirth, because there were better-equipped clinics, skilled attendants, or improved antenatal programs.

This is where health investment works.

It’s proof that targeted funding saves lives.

3️⃣ Infant Mortality: The Silent Struggle

But the story wasn’t all hopeful. Infant mortality barely moved in response to higher spending (R² = 0.003, p = 0.796).

This was perhaps the most painful insight.

Because every data point here represents a baby who didn’t live to see their first birthday.

It’s a sign that the investments aren’t reaching the most vulnerable, that neonatal and preventive care need stronger attention.

Spending helps only when it reaches where life begins.

📈 What These Numbers Really Mean

At first glance, the results seem disappointing. But if you look closer, they’re a roadmap for smarter policy.

They show that when health spending is targeted, like in maternal health it saves lives. But when it’s too broad or inefficiently distributed, it doesn’t move the needle.

It’s a reminder that equity and strategy matter as much as budget size.

We need to ask:

• Where does each naira actually go?
• Are the poorest and most vulnerable benefitting?
• Are preventive programs getting enough attention?

Behind the Analysis

This study used:

• Public datasets from World Bank (2000–2022)
• Analytical tools: Python, Pandas, Seaborn, and Statsmodels
• Methods: exploratory data analysis, visualization, and OLS regression

The Bigger Picture

Health spending is not just about numbers on a national budget, it’s about trust. Every statistic hides a story: a mother’s survival, a baby’s first breath, or a family’s extra year together.

Nigeria’s data tells us that money helps, but not everywhere, and not automatically.

To change the curve, we need:

• Smarter allocation
• Stronger accountability
• Investments that reach people, not paperwork

📊 “We can’t spend our way to health, but we can design our way there.”