The Cost of the Data Gap: Why Kenya’s Lenders Can’t Afford to Miss the Full Picture

By Morris Maina, CEO, TransUnion Kenya

Here’s a question worth sitting with: how much growth are Kenya’s lenders leaving on the table simply because they can’t see the full picture?

It’s not a rhetorical exercise. Across our market, 43% of consumers remain thin-file, meaning they don’t carry enough traditional credit information to be confidently assessed. Think about what that means in practice. Nearly one in every two potential customers walks up to a lender and, through no fault of their own, appears almost invisible. Not because they’re risky. Not because they can’t repay. Simply because the data doesn’t tell their story.

That’s the real cost of the data gap. And it’s far bigger than most of us assume. When lenders cannot see enough of a consumer’s credit story, they risk overlooking creditworthy customers, limiting growth opportunities, and slowing financial inclusion

Rethinking What the Data Gap Actually Costs

When people think about data challenges in lending, their minds go straight to credit losses and defaults. That’s understandable, but it’s only a fraction of the story.

The true cost shows up as:

• Missed customers who were creditworthy all along
• Missed revenue that quietly walks out the door
• Pricing doesn’t reflect real risk
• Lending decisions made with less confidence than they deserve
• Financial inclusion that moves slower than it should

Ultimately, all of this adds up to slower business growth. In a market as dynamic as Kenya’s, that’s a cost no lender can comfortably carry.

A Credit Market That’s Changing Fast

Kenya’s credit landscape is evolving at remarkable speed. Digital lending has reshaped how people access credit, particularly younger consumers stepping into the market for the first time. At the same time, lenders are balancing real growth ambitions against portfolio quality, especially after a demanding credit cycle.

The pressing question is whether we can grow without compromising portfolio performance. The data suggests we can, but only if we understand today’s borrower better than we understood it yesterday.

Consider how visibility shifts across generations. Thin-file rates tell a striking story:

• Millennials: 26.6%
• Gen Z: 32.9%
• Gen X: 45.0%
• Baby Boomers: 64.1%
• Silent Generation: 89.6%

Younger Kenyans are becoming steadily more visible in the credit ecosystem. The opportunity lies in leveraging richer credit insights and broader data ecosystems to responsibly extend credit to the remaining 43%.

Signs of Recovery, but Reasons for Care

For much of the past year, one question dominated industry conversations: is credit quality finally improving? The evidence points to yes.

Kenya’s NPL ratio climbed to a 20-year high of 17.6% during early 2025, before easing to 15.5% by January 2026. Lower interest rates, stronger recoveries and improving economic activity have all played a part, and that improvement signals growing borrower resilience.

Still, we shouldn’t relax. At 15.5%, non-performing loans remain elevated against historical norms. The lesson is straightforward: the market is recovering, but early risk detection matters more than ever. The best-performing lenders won’t wait to react to risk. They’ll spot it before it takes hold.

The New Face of Kenyan Credit

If you want to know where future growth will come from, look to new-to-credit consumers. These borrowers represent tomorrow’s customers, tomorrow’s revenue, and tomorrow’s portfolio performance.

And the face of that future is unmistakably Gen Z and Millennials. These generations account for nearly all new borrowers entering the market today, and they’re entering differently from those before them. Their access point is digital. Their preferred products are short-term and mobile-driven. Their expectations are speed, convenience, and flexibility.

For lenders, this is genuinely good news. But it also means our risk models must evolve alongside changing behaviour. Yesterday’s borrower isn’t today’s borrower, and today’s borrower certainly won’t be tomorrow’s.

What Borrower Behaviour Is Really Telling Us

Here’s where the data challenges some long-held assumptions.

Many lenders instinctively equate frequent borrowing with higher risk. Yet the picture is more nuanced. Ge