Argentina vs Guinea: Bank overhead costs to total assets

Argentina
7.2%
in 2021
Guinea
6.2%
in 2020
Argentina rank
3rd
Guinea rank
6th

Bank overhead costs to total assets over time

  • Argentina
  • Guinea
0246810200020102021

How they compare

Argentina currently reports 7.2% against 6.2% in Guinea, a difference of 1.0%.

That makes Argentina's figure about 1.2 times Guinea's.

The two have swapped places 4 times across 9 shared years of data; in 2011 it was Argentina ahead.

Argentina ranks 3rd and Guinea ranks 6th of 168 countries.

Across the 2 decades both report, Argentina averaged higher in 1 and Guinea in 1.

Head to head by decade

Decade Argentina Guinea Difference Ahead
2010s 6.8% 7.0% 0.2% Guinea
2020s 8.1% 6.2% 1.9% Argentina

Averages of every year both report within each decade.

Frequently asked questions

Which has higher bank overhead costs to total assets, Argentina or Guinea?
Argentina, at 7.2% against 6.2% in Guinea as of 2021.
What is the difference in bank overhead costs to total assets between Argentina and Guinea?
1.0%, with Argentina ahead.
How many years of comparable data are there for Argentina and Guinea?
9 years are reported by both, from 2011 to 2020.
How do Argentina and Guinea rank globally for bank overhead costs to total assets?
Argentina ranks 3rd and Guinea ranks 6th 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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Argentina vs Guinea: Bank overhead costs to total assets. Statizoid, drawing on Bankscope, Bureau van Dijk (BvD). Retrieved 05 September 2026, from https://financial-sector.statizoid.com/compare/bank-overhead-costs-to-total-assets-percent/argentina/guinea/

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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.