How to Compare Money Supply Across Countries

Comparing money supply across countries means comparing growth rates, not raw currency totals. “Broad money” is M2 in the United States, M3 in the Euro Area and Japan, M4 in the United Kingdom — three labels, three different inclusion rules. The IMF’s harmonised series (MFS_MA/BM_MAI) fixes the label problem across 165 economies. It does not fix the currency one.

Converting each figure to USD still needs an exchange rate, and that is where a level ranking goes wrong. A growth rate needs no conversion at all, which is the whole argument of this page.

Why “M2” doesn’t mean the same thing in every country

It doesn’t. The United States’ M2 excludes large institutional deposits and repurchase agreements; the Euro Area’s M3 includes both. The United Kingdom’s M4 goes further still — nearly every sterling deposit the UK private sector holds, not just the liquid ones. Three labels, three different inclusion lists, one shared idea: whatever tier a country’s central bank calls its own broadest published aggregate.

That’s the practical answer to how do you compare money supply across currencies: not reliably, until the definitions match. None of these six line up component-for-component. A dollar sitting in an institutional money-market fund counts inside the Euro Area’s M3 but not inside the US’s own M2. That’s not a rounding difference. It’s a different definition of what counts as “money” at all. That’s why a bare label (“country X’s M2 is $Y”) can mislead a reader who assumes every M2 measures the same basket. Full glossary treatment of the concept itself: broad money.

Put a number beside each label and the gap is easier to see.

None of these six totals sits at the same point on the liquidity spectrum. M2 sits closer to narrow money — cash and immediately spendable deposits. M3 and M4 stretch further out, toward money market securities and near-bank deposits that most narrow-money definitions exclude entirely.

Why growth is comparable and level isn’t

Growth is. Level isn’t, not without a currency-conversion caveat attached. YoY, 10-year CAGR and doubling time are all computed in a country’s own currency, before any conversion. They’re dimensionless numbers that don’t care whether the underlying unit is dollars, lira or yen. Türkiye’s broad money grew 36.4% a year over the last decade, measured entirely in lira (the IMF Monetary and Financial Statistics series MFS_MA/BM_MAI, as of 2026-02). That figure is directly comparable to the United States’ 6.6% a year over its own last decade (as of 2025-12), measured entirely in dollars — same metric, same method, no conversion involved in either one.

A level figure carries a second variable a growth figure doesn’t: the exchange rate at the moment of conversion. Türkiye’s USD-denominated level reflects two things blended together: its real 36.4%-a-year money growth, and the lira’s own path against the dollar over that decade. We don’t try to separate them. Rank countries by a level converted at a single spot rate in a year a currency swung sharply, and the ranking distorts. It measures the currency move as much as the money-printing. That’s the specific failure mode a level ranking has to disclose and a growth ranking doesn’t.

The numbers behind our own dataset show the gap directly. 165 economies carry their own series: 185 total, minus the 20 euro-area members who share the Euro Area’s. Drop the IMF’s duplicate euro-area row and 164 are candidates for a ranking. 159 of those 164 have a full 10-year growth rate. Five lack one, for two different reasons — a 2025 series break cut the window too short for Gambia and Grenada, while India, Panama and Somalia simply don’t have ten unbroken years to measure. 162 have a usable year-over-year rate. Level ranking needs the extra FX step and narrows further, to 159. 161 of the 185 carry any USD value at all. Two of those — the same duplicate euro-area row, plus Somalia’s suspect conversion — are excluded from the level table specifically. Full breakdown of every excluded row: money supply by country.

What harmonisation fixes — and what it doesn’t

It fixes the label. It doesn’t fix the calendar, the clock, or the currency. The IMF’s shared definition solves one problem. A reader comparing “US M2” to “UK M4” is comparing the same accounting idea under two different names. That part is solved. Three problems are left standing.

The first is the date. Our rows run from 2008-05 (Panama, the oldest observation the IMF publishes for it) to 2026-06 (the Euro Area). Line up a stale row against a fresh one and you are comparing two different moments, not two countries. Every table on this site marks which is which.

The second is the clock. Some countries report every month, some every quarter, some just once a year. The US reports quarterly (138 observations since 1960), the Euro Area monthly, China only annually through a World Bank backfill. Two rows can share a date and still not be equally current.

The third is the rate. We convert with the World Bank’s PA.NUS.FCRF, an annual average matched to the year of the observation — not the rate on the day. A currency that swung hard inside its own year gets smoothed flat by that average. It is a real approximation, and we would rather print it than bury it. We show the full workings at methodology.

What It Means When a Country’s Money Supply Beats Its GDP — Or Falls Short

A 2019 r/dataisbeautiful commenter asked this directly, after seeing a money-supply-to-GDP chart: “What’s the difference between Hong Kong where BM > GDP, Mexico where BM < GDP, and US/Euro where BM ≈ GDP?” (u/sdweasel, 12 upvotes, 2019-12-19). The pattern isn’t about wealth. It’s about how much of an economy’s activity actually clears through bank deposits.

Hong Kong ranks 10th in our own level table at $2.07 trillion (2026-03) — high for its population, because it operates as a regional banking and financial hub. Non-resident savers and firms route deposits through Hong Kong’s banking system. Those deposits sit inside its money-supply figure without belonging to Hong Kong’s own domestic output. That pushes broad money well past what the local economy alone would generate. Mexico, at $892.66 billion (2026-04), sits on the other side. A lot of Mexican business is done in cash, off the books, outside the banks. It counts in full toward GDP. It never becomes a bank deposit, so it never enters the money-supply count at all. The US and the Euro Area sit near parity for a third reason: both run big, broad financial systems, and savings there split fairly evenly between bank deposits and markets. No offshore-banking pull, no large cash economy, so the ratio stays near one.

We hold no GDP series ourselves. We can’t compute the exact BM/GDP ratio for any of these three. We can’t say precisely how far apart they sit either — a real gap, stated plainly rather than approximated. The World Bank FM.LBL.BMNY.GD.ZS series covers the ratio directly, and it’s the authoritative source for that specific number until we build our own.

When the comparison breaks down entirely

Two conditions defeat even a harmonised approach. Capital controls trap money inside a banking system by policy rather than choice. A country that restricts residents from moving savings abroad will show an inflated deposit aggregate. That aggregate reflects the restriction more than underlying money creation. China’s bank-dominated, capital-controlled system is the recurring example behind the China/US “who’s printing more” argument. Parallel or multiple exchange rates go further. They make the conversion step itself ambiguous, because there’s no longer one rate to convert at. Lebanon’s 2019-2023 collapse ran through exactly this mechanism: an official peg alongside a collapsing parallel rate. That’s a large part of why Lebanon carries no row in our dataset at all. The full story is at Lebanon’s currency collapse.

The result, in a small number of cases, is that we exclude rather than force a number. Somalia’s IMF series converts to a figure four orders of magnitude below its neighbours. Its economy runs mostly on the US dollar, and the shilling series covers only a residual. So we keep it out of every level ranking, rather than publish a figure we don’t trust. That’s the same instinct behind Lebanon’s absence: a number nobody can verify is worse than an honest gap.

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