Iceland vs Poland: Broad Money
Iceland
3.08 trillion Domestic currency
in 2024
Poland
2.48 trillion Domestic currency
in 2024
Iceland rank
57th
Poland rank
60th
Broad Money over time
- Iceland
- Poland
How they compare
Iceland currently reports 3.08 trillion Domestic currency against 2.48 trillion Domestic currency in Poland, a difference of 607.74 billion Domestic currency.
That makes Iceland's figure about 1.2 times Poland's.
Across all 21 years both countries report, Iceland has been ahead every year.
Iceland ranks 57th and Poland ranks 60th of 144 countries.
Iceland has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Iceland | Poland | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.14 trillion Domestic currency | 540.30 billion Domestic currency | 594.93 billion Domestic currency | Iceland |
| 2010s | 1.66 trillion Domestic currency | 1.14 trillion Domestic currency | 517.98 billion Domestic currency | Iceland |
| 2020s | 2.57 trillion Domestic currency | 2.13 trillion Domestic currency | 442.57 billion Domestic currency | Iceland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher broad money, Iceland or Poland?
- Iceland, at 3.08 trillion Domestic currency against 2.48 trillion Domestic currency in Poland as of 2024.
- What is the difference in broad money between Iceland and Poland?
- 607.74 billion Domestic currency, with Iceland ahead.
- How many years of comparable data are there for Iceland and Poland?
- 21 years are reported by both, from 2004 to 2024.
- How do Iceland and Poland rank globally for broad money?
- Iceland ranks 57th and Poland ranks 60th of 144 countries.
- Where does this data come from?
- International Monetary Fund, published as Broad Money (Domestic currency). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Monetary and Financial Statistics (MFS), Monetary Aggregates dataset presents monetary aggregates based on standardized SRF data, while also reflecting country-specific components aligned with national definitions.