Data Directory - 54

Pillar
Digital Infrastructure
Sub-pillar
Instant payment infrastructure
Portal Indicator name
Value of transactions
Metrics
Value of transactions
Output type
USD
Input metric (short definition)
Value of transactions on largest IPS (by value of transactions) available in the country
Periodicity
Annual
Methodology
To map the landscape, various resources were used,
including, but not limited to, data from government and
private-sector sources and literature from development
partners. As reliable and consistent data is often not
readily available, we particularly thank the central
banks and IPS operators of the Central African
Economic and Monetary Community (CEMAC),
Ghana, Kenya, Madagascar, Malawi, Mozambique,
Rwanda, South Africa, Zambia, and Zimbabwe for
providing information to help close data gaps.
Information was provided on the following systems:
eKash (Rwanda), National Financial Switch (Zambia),
Kenya mobile money and PesaLink, Madagascar
mobile money, GhIPSS Instant Pay and Ghana mobile
money, Natswitch (Malawi), Sociedade Interbancaria De
Mocambique (Mozambique), and Real-Time Clearing
(South Africa).
For other data, we relied on a mix of publicly available
information. Scheme rules are often not available
publicly, and information online is scarce.
Using this approach, we developed a comprehensive
database, which provided a typological analysis of
the continent’s IPS, considering various factors such
as functionality, technology, governance models, and
inclusivity. The data is up-to-date as of June 1, 2023.
To go deeper, we conducted 18 interviews with key
stakeholders, including payment system experts,
regulators, IPS providers, IPS operators, and PSPs between
January and April 2023. These interviews provided valuable
insights on trends, barriers, opportunities, and other
pertinent information required for the analysis"
Source
AfricaNenda African IPS Map
Regional aggregrational method
Sum
Regional aggregrational calculation
Add country data points from the respective regional groupings
Regional underlying data point needed
n/a