Gambia vs Madagascar: Bank overhead costs to total assets

Gambia
4.0%
in 2020
Madagascar
4.1%
in 2020
Gambia rank
33rd
Madagascar rank
31st

Bank overhead costs to total assets over time

  • Gambia
  • Madagascar
46810200020102020

How they compare

Madagascar currently reports 4.1% against 4.0% in Gambia, a difference of 0.1%.

The two have swapped places 1 time across 11 shared years of data; in 2005 it was Gambia ahead.

Gambia ranks 33rd and Madagascar ranks 31st of 168 countries.

Across the 3 decades both report, Gambia averaged higher in 2 and Madagascar in 1.

Head to head by decade

Decade Gambia Madagascar Difference Ahead
2000s 9.2% 3.6% 5.6% Gambia
2010s 6.1% 4.7% 1.4% Gambia
2020s 4.0% 4.1% 0.1% Madagascar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher bank overhead costs to total assets, Gambia or Madagascar?
Madagascar, at 4.1% against 4.0% in Gambia as of 2020.
What is the difference in bank overhead costs to total assets between Gambia and Madagascar?
0.1%, with Madagascar ahead.
How many years of comparable data are there for Gambia and Madagascar?
11 years are reported by both, from 2005 to 2020.
How do Gambia and Madagascar rank globally for bank overhead costs to total assets?
Gambia ranks 33rd and Madagascar ranks 31st of 168 countries.
Where does this data come from?
Bankscope, Bureau van Dijk (BvD), published as Bank overhead costs to total assets (%). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Gambia vs Madagascar: Bank overhead costs to total assets. Statizoid, drawing on Bankscope, Bureau van Dijk (BvD). Retrieved 09 September 2026, from https://financial-sector.statizoid.com/compare/bank-overhead-costs-to-total-assets-percent/gambia-the/madagascar/

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About this data

Indicator
Bank overhead costs to total assets (%)
Unit
%
Source
Bankscope, Bureau van Dijk (BvD)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
168 places, 3,204 data points, 2000–2021
Last refreshed

Raw data are from Bankscope. Data2090[t] / ((data2025[t] + data2025[t-1])/2). Numerator and denominator are first aggregated on the country level before division. Note that banks used in the calculation might differ between indicators. Calculated from underlying bank-by-bank unconsolidated data from Bankscope.