Indexes Dashboard

RemitSCOPE Africa’s interactive dashboards allow you to explore, analyse and compare indicators across countries. The dashboards are organized into 5 themes, offering the most up to date and comprehensive compilation of relevant data, and cover the 54 countries in Africa.

The dashboards include data from existing data sources, such as the World Bank, GSMA and IMF, as well as data collected through primary RemitSCOPE research.




thematic areas

regular data updates





ability download data

About the Remittances Dashboard

The Remittances Dashboard displays data broken down according to remittance inflows and outflows and at a country and corridor level (where available). The dashboard has remittance data published by the World Bank and data published by Central Banks were available. RemitSCOPE collects and displays the first ever compilation of remittance flow data published by Central Banks at a country and corridor-level. This data will continue to be updated as it becomes available.

Other indicators on the dashboard include the compound annual growth rate of remittances over 3 years and an indication of how important remittances are to the receive country’s economy (GDP). Data on household dependency on remittances, whilst insightful, is currently weak across the continent and is collected mainly through surveys. Some of this data is quite outdated.

RemitSCOPE collects and publishes data on informal remittances. This data, due to the nature of these flows, is very weak and is usually collected through surveys or estimates. RemitSCOPE aims to share what data is available, although please note that the dates of the data and quality of the data vary considerably. Hover over the indicator in the map to see additional information on the source of the data.

There is currently a drive to improve the quality and availability of remittance data globally as part of the International Working Group to Improve Data on Remittance Flows under the auspices of KNOMAD. In the future RemitSCOPE will aim to provide further insight into the data collection methodology and which components are included in the data (e.g., cash / in-kind and remittances sent through informal channels).

Further information:

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