Picture a matatu, one of the minibuses that carry passengers around Nairobi and across Kenya. When it was first registered, it went into a national database. Whether it’s still on the road ten years later, how many kilometers it covers in a year, and how much fuel it burns along the way are much harder to find out. Yet those are exactly the numbers a country needs to estimate its transport emissions and to know whether a policy like bus rapid transit or electric mobility is making a difference.
That puzzle, and many like it, was on the table in Nairobi on September 22, 2026. Kenya’s Ministry of Environment, Climate Change and Forestry (MoECCF) brought together the people who produce and manage the country’s energy and transport data to launch a new project, “Developing an MRV Framework for the Energy Sector in Kenya.” The Initiative for Climate Action Transparency (ICAT) funds the project, and the Greenhouse Gas Management Institute (GHGMI) is the technical implementing partner.
Data collected for other reasons
Kenya keeps a close eye on its energy sector, and for good reason. Electricity and fuel are central to the economy, a major source of jobs and public revenue, and a focus of development investment. Regulators track fuel sales to set prices, utilities track generation to keep the grid running, and transport agencies register vehicles to keep roads safe.
Climate reporting uses those same numbers to answer a new set of questions. How much does each activity emit? Which policies are lowering emissions, and by how much? Is the country on track?
In his opening remarks on behalf of MoECCF, Michael Okumu, Deputy Director for Climate Finance and Negotiations, explained why those questions matter so much right now. Under its updated NDC, Kenya has committed to cutting emissions 32% by 2030 compared with a business-as-usual path, a reduction of roughly 46 million tonnes of CO₂e. Meeting that goal means knowing with confidence where emissions come from and which investments are delivering. Energy carries much of the load, through renewable electricity, energy efficiency, clean cooking, and low-carbon transport.
This is the heart of MRV, or measurement, reporting, and verification. A country can only reduce the emissions it can measure and track reliably, and good measurement depends on data that flows smoothly from the people who collect it to the people who analyze it.
What’s easy to see and what isn’t
About 20 participants from the Climate Change Directorate; the State Departments for Energy, Petroleum, Transport, Roads, and Industry; the Energy and Petroleum Regulatory Authority (EPRA); Kenya Railways Corporation; and the Kenya Association of Manufacturers spent the morning mapping what data exists, who holds it, and where the gaps are.
Some of the picture is sharp. Electricity generation is well documented, plant by plant and technology by technology. Other parts are blurrier. Kenya hasn’t refined crude oil since 2013, so there’s no recent refinery data to draw on, though a new facility is planned. A good share of the country’s charcoal is made at home or comes across the border without records. Small manufacturers often report total energy use without a breakdown by fuel, and the kerosene, LPG, and firewood used in homes are hard to measure at all.
There’s a pattern worth noticing here. The emissions that are easiest to count tend to come from large, centralized facilities. The hardest ones come from everyday life, like cooking dinner, running a small workshop, or catching a ride across town. These are also the activities many of Kenya’s climate policies aim to change, from clean cooking to electric mobility. Measuring them well is part of making sure those policies reach the people they’re meant to serve.
Data moves through people
When participants talked about what slows data down, few of the answers were technical. Some institutions don’t have a named contact for data requests. Data often arrives in different formats, with categories that don’t line up from one agency to the next. Some manufacturers are wary of how shared figures might be used.
Anyone who has tried to pull numbers together across departments will recognize these challenges.
Participants’ recommendations reflected that. They called for a common data dictionary so everyone uses the same definitions, standard reporting templates, a designated focal point in each institution, and clear, formal procedures for sharing, checking, approving, and archiving data. Agreements like these help build the trust that makes institutions comfortable sharing in the first place.
Building an energy-sector MRV framework that lasts
Kenya has already submitted its first Biennial Transparency Report under the Paris Agreement and completed a technical expert review. That review pointed to areas to strengthen, especially documenting how emissions projections are made, reporting the impact of policies, and tracking progress toward the NDC.
Over the coming months, national experts will build GHG projections for energy and transport, assess the impact of a few priority policies, and develop an NDC tracking framework. Results will feed into Kenya’s national MRV+ data platform. New technical working groups for energy and transport will give sector experts hands-on time with the models. The goal is for each reporting cycle to build on the last, with data flowing through agreed channels each year and Kenyan experts running and updating the tools themselves.
A question worth asking everywhere
Energy is where Kenya is starting, and the framework is designed so the same approach can later extend to agriculture, waste, land use, and industrial processes. The questions raised in Nairobi will travel with it. Who holds the numbers? Who do you call when they’re missing? What would make an institution comfortable sharing them?
Every country building a climate transparency system faces some version of those questions, and so does every company setting a climate target. It’s a useful lens to bring to any climate commitment you care about, because behind each one sits a web of people and data that has to work for the goal to mean something.
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