Algeria vs Mauritius: Bank overhead costs to total assets

Algeria
1.1%
in 2020
Mauritius
1.1%
in 2021
Algeria rank
143rd
Mauritius rank
145th

Bank overhead costs to total assets over time

  • Algeria
  • Mauritius
0246810200020102021

How they compare

Algeria currently reports 1.1% against 1.1% in Mauritius, a difference of 0.0%.

The two have swapped places 2 times across 21 shared years of data; in 2000 it was Mauritius ahead.

Algeria ranks 143rd and Mauritius ranks 145th of 168 countries.

Mauritius has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Algeria Mauritius Difference Ahead
2000s 1.2% 3.5% 2.3% Mauritius
2010s 1.3% 2.2% 1.0% Mauritius
2020s 1.1% 1.7% 0.6% Mauritius

Averages of every year both report within each decade.

Frequently asked questions

Which has higher bank overhead costs to total assets, Algeria or Mauritius?
Algeria, at 1.1% against 1.1% in Mauritius as of 2020.
What is the difference in bank overhead costs to total assets between Algeria and Mauritius?
0.0%, with Algeria ahead.
How many years of comparable data are there for Algeria and Mauritius?
21 years are reported by both, from 2000 to 2020.
How do Algeria and Mauritius rank globally for bank overhead costs to total assets?
Algeria ranks 143rd and Mauritius ranks 145th 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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Algeria vs Mauritius: Bank overhead costs to total assets. Statizoid, drawing on Bankscope, Bureau van Dijk (BvD). Retrieved 04 September 2026, from https://financial-sector.statizoid.com/compare/bank-overhead-costs-to-total-assets-percent/algeria/mauritius/

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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.