Reading the Nairobi property market without the headlines

Market commentary tends to arrive as a single figure — prices up, prices flat, rents softening. It is a useful shorthand and a poor basis for a decision, because no one buys the market. They buy one unit, on one floor, in one neighbourhood, and the things that determine what happens to it are mostly not captured in a citywide number.

Infrastructure is the variable that reprices whole areas. A new road, an interchange, a bypass, a trunk sewer — these change what an area is for, and they do it on a timescale you can see coming. The relevant question about a location is rarely what it is like now; it is what is under construction within two kilometres of it and when that finishes.

Supply is local and lumpy. A neighbourhood can absorb steady demand for years and then take four hundred new units in eighteen months because three schemes happened to complete together. That shows up in rents long before it shows up in prices. Count what is under construction within walking distance, and count units rather than developments.

Distinguish asking prices from transacted ones. Listing data is abundant and describes what sellers hope for. Transaction data is scarcer and describes what buyers paid. Where the two diverge sharply, the gap is telling you about liquidity — how long a unit will take to sell when you want to sell it, which is the part of the return most often left out of the calculation.

Rental demand has a shape, not just a level. Who rents in this specific area, at what budget, and for how long? Proximity to a business district, an international school, or a hospital produces different tenancy lengths and different tolerances for price. A unit specified for the wrong tenant sits empty next to identical ones that do not.

Currency and interest rates set the frame. Financing cost affects who can buy and therefore what they can pay; exchange rates affect diaspora demand, which is a real component of this market. Neither is forecastable with any confidence — the useful response is to stress-test your own position against a worse rate rather than to predict one.

The practical version of all this is narrow: pick the neighbourhood before the unit, count the competing supply, get transacted comparables rather than asking prices, and be honest about how long a sale would take. Those four will tell you more about a specific purchase than any market outlook.