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Ironwood Intelligence

Ironwood turns fragmented public listings into district-level market benchmarks, collected weekly, cleaned, deduplicated and published with the method on every figure.

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African real estate data Scroll for the story

Unit of analysis: District
Collection: Weekly
Method: Shown on every figure
Status: Live, early access

Why we started it

African property markets do not lack value. They lack measurement.

The gap

You cannot underwrite what you cannot observe. Institutional capital is priced on evidence, and in most African markets the evidence exists: thousands of listings are published every week. But it is scattered across portals, languages and currencies, with no one turning it into a benchmark an investment committee can cite.

Recorded transactions would need land-registry or deal feeds, so asking prices are the evidence that can be observed today. Even that record is inconsistent: portals mix annual and monthly rents, and conventions differ from one market to the next.

Where the idea came from

Ironwood was conceived as the group’s shared data backbone: one cleaned record of African property markets that research, office search and investment work can all draw on, starting with the listings that are already public.

Ironwood was built to do exactly that: gather the public record, clean it once, guard every number with minimum-sample rules and publish district-level prices and rents with the methodology attached.

How it works

African property data you can cite

01
Gather: public listings are collected from portals on a schedule
02
Clean: records are deduplicated and standardised
03
Guard: minimum-sample rules decide what can be shown
04
Publish: district medians, each with its method

What you can do

Inside Ironwood Intelligence

District price benchmarks
Median asking prices per square metre for sale and rent, by city, district and asset class, each showing the number of observations behind it.
Evidence on every figure
Minimum-sample rules decide what can be shown. Where data is thin the terminal shows a dash, and asking prices are never shown as transaction prices.
Local or US dollar view
Switch figures between US dollars and local currency, at the exchange rate shown on screen.
District maps
See districts on a map with their price aggregates, to find where values and listing depth sit within a city.
Weekly price trends
Follow how medians move from one weekly snapshot to the next, for each market and city.
Development pipeline register
Projects drawn from market news, with developer, size, stage and the source for every entry.
Published research layer
Stock, occupancy and vacancy figures from published research, quoted as published, with the publisher named and never blended across sources.
Macro context
Public macro indicators for each market, alongside the property data.
CSV exports
Download city, district and asset-class aggregates as CSV, in local currency with an explicit currency column.

What it solves

Before and after Ironwood Intelligence

TodayWith Ironwood Intelligence

Listing evidence is scattered across portals, languages and currencies.One cleaned, deduplicated dataset with district medians, collected on a schedule.

Asking prices get quoted as achieved prices, with no sample size attached.Every median is labelled as an asking price and shows its observations.

Thin samples produce district figures that look precise but are not.Minimum-sample rules withhold weak figures; the terminal shows a dash instead.

Faulty source data can quietly distort a market’s numbers.Markets with known defects are held back, never shown with wrong figures.

Who it serves