Mexico vs Moldova: Bank overhead costs to total assets (%)

Mexico
3.6%
in 2021
Moldova
3.3%
in 2021
Mexico rank
41st
Moldova rank
44th

Bank overhead costs to total assets (%) over time

  • Mexico
  • Moldova
246810200020102021

How they compare

Mexico currently reports 3.6% against 3.3% in Moldova, a difference of 0.3%.

That makes Mexico's figure about 1.1 times Moldova's.

The two have swapped places 5 times across 22 shared years of data; in 2000 it was Moldova ahead.

Mexico ranks 41st and Moldova ranks 44th of 168 countries.

Across the 3 decades both report, Mexico averaged higher in 1 and Moldova in 2.

Head to head by decade

Decade Mexico Moldova Difference Ahead
2000s 4.4% 6.2% 1.8% Moldova
2010s 3.3% 3.8% 0.5% Moldova
2020s 3.6% 3.4% 0.2% Mexico

Averages of every year both report within each decade.

Frequently asked questions

Which has higher bank overhead costs to total assets, Mexico or Moldova?
Mexico, at 3.6% against 3.3% in Moldova as of 2021.
What is the difference in bank overhead costs to total assets between Mexico and Moldova?
0.3%, with Mexico ahead.
How many years of comparable data are there for Mexico and Moldova?
22 years are reported by both, from 2000 to 2021.
How do Mexico and Moldova rank globally for bank overhead costs to total assets?
Mexico ranks 41st and Moldova ranks 44th 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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Mexico vs Moldova: Bank overhead costs to total assets. Statizoid, drawing on Bankscope, Bureau van Dijk (BvD). Retrieved 09 November 2026, from https://financial-sector.statizoid.com/compare/bank-overhead-costs-to-total-assets-percent/mexico/moldova/

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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.