Broad money (% of GDP) (World Bank) (FM.LBL.BMNY.GD.ZS)
The latest world value of Broad money (% of GDP) is 136.11 % of GDP in 2024. Source: World Bank, indicator FM.LBL.BMNY.GD.ZS. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/broad-money-of-gdp-world-bank.
17,490 rows · 14 columns · Time coverage: 1960 | 2025 · 265 regions/countries · Latest world value: 136.11 % of GDP (2024) · Last data pull: 2026-09-02
Broad money measures the total stock of liquid financial instruments—cash, deposits, and near-money assets—that households and businesses hold as stores of value and means of payment. Expressed as a percentage of GDP, this indicator reveals how much money supply exists relative to the size of an economy, serving as a key metric for monetary policy analysis, inflation forecasting, and financial system health. The World Bank has compiled this data across 208 economies spanning 1960 to 2024, making it one of the longest and most comprehensive monetary datasets available.
The dataset shows striking variation across countries and time periods. Hong Kong, Japan, and China occupy the top positions, with broad money at 453.87%, 267.08%, and 227.50% of GDP respectively as of 2024. By contrast, economies like Zimbabwe, Equatorial Guinea, and Chad report ratios below 16%, reflecting either nascent financial systems or severe monetary instability. The global average stands at 62.13%, though individual values range from a low of 0.27% to a high of 13,309.49%, underscoring extreme diversity in monetary development.
Investors and economists use this metric to assess financial deepening, detect asset bubbles, and compare monetary policy regimes across nations. China's compound annual growth rate of 4.69% since 1977 demonstrates rapid financial system expansion alongside economic growth. Countries with ratios above 150% often signal either highly developed capital markets or monetary excess that warrants scrutiny. Researchers analyzing monetary history, central bank effectiveness, or cross-national financial stability will find this longitudinal dataset invaluable for hypothesis testing and trend analysis.
Query via API instead of re-downloading. Live REST API and instant in-browser charts stay source-synced with the primary publisher, no CSV exports to maintain, MCP-ready for Claude, ChatGPT, and Cursor. Use this dataset in Power BI or Excel via the public API, no key required.
Indicator code: FM.LBL.BMNY.GD.ZS · direct CSV, JSON, and live API access below.
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/41e149db-8a04-4030-a6df-4f34eedbc420/data?limit=100"
# Filter and sort on this dataset's own columns (replace the bracketed placeholder with a value)
curl "https://autario.com/api/v1/public/datasets/41e149db-8a04-4030-a6df-4f34eedbc420/data?filter=country:eq:<country>&filter=date:gte:<date>&sort=date:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/41e149db-8a04-4030-a6df-4f34eedbc420/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/41e149db-8a04-4030-a6df-4f34eedbc420/data", params={"limit": 100})
data = r.json()["data"]
Full API docs · Agent guide · MCP setup for Claude / ChatGPT / Cursor · No API key required for public data.
For AI agents
Statistics for this dataset are precomputed server-side. One call returns finished, verified numbers with provenance. No row download, no local computation:
# Finished stats, zero rows (n, min, max, avg, first/last)
curl "https://autario.com/api/v1/public/datasets/41e149db-8a04-4030-a6df-4f34eedbc420/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=wb_broad_money_of_gdp_world_bank_41e149&entity=East%20Asia%20%26%20Pacific"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=wb_broad_money_of_gdp_world_bank_41e149&entity=East%20Asia%20%26%20Pacific"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=wb_broad_money_of_gdp_world_bank_41e149&entity=East%20Asia%20%26%20Pacific&window=5"
# Correlate with any other indicator (ids via /api/v1/public/ontology/indicators)
curl "https://autario.com/api/v1/public/ontology/stats/correlate?entity=East%20Asia%20%26%20Pacific&a=wb_broad_money_of_gdp_world_bank_41e149&b=<indicator_id>"
The same operations are MCP tools (describe, pct_change, rolling_stats, correlate) via npx autario-mcp or the remote endpoint https://autario.com/mcp. MCP responses default to TOON format and use about 74% fewer tokens than pretty JSON. Details: agent guide and llms.txt.
Original source: World Bank (source code: FM.LBL.BMNY.GD.ZS)
Sample rows
| country | indicator | date | value | obs_status | decimal |
|---|
| East Asia & Pacific | Broad money (% of GDP) | 2024 | 211.545515329558 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2023 | 209.161705569498 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2022 | 202.783789864693 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2021 | 198.694383040604 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2020 | 203.466129129331 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2019 | 186.0444007635 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2018 | 182.71297000252 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2017 | 185.397461117712 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2016 | 188.458604086213 | | 1 |
| East Asia & Pacific | Broad money (% of GDP) | 2015 | 182.554433263207 | | 1 |
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Topic hubs: GDP & Economic Output
Keywords: FM.LBL.BMNY.GD.ZS, WDI, countries, Financial Sector
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