finance.foundation / Countries / Hong Kong SAR
Jurisdiction · HK · HKD
Hong Kong SAR
- ISO code
- HK
- Currency
- HKD
- Monetary authority
- Hong Kong Monetary Authority
- Policy regime
- Currency board: the HKMA does not set an independent rate, because the Hong Kong dollar's peg to the US dollar means it imports US monetary policy
- GDP
- $0.43tn (2025, World Bank)
- Real GDP growth
- 3.5% (2025, World Bank)
- Inflation (CPI)
- 1.4% (2025, World Bank)
- Population
- 7.5m (2025, World Bank)
- Listed domestic companies
- 2,508 (2025, World Bank)
- Listed market cap
- 1,425% of GDP (2025, World Bank)
- Credit to private sector
- 223% of GDP (2025, World Bank)
Annual indicators from World Bank Open Data (CC BY 4.0), each shown with its observation year — refreshed daily, but the underlying series are annual and only move when the World Bank publishes.
Current readings · refreshed every 3 hours
4% Hong Kong base rate · 2026-08-01 · BIS
These are Hong Kong SAR’s own readings, each on the observation date shown. They are a different kind of figure from the World Bank series above, which are annual and only move when the World Bank publishes.
Covered companies — Hong Kong SAR
| Company | Ticker | Exchange | Sector | Mkt cap ≈ |
|---|---|---|---|---|
| AIA GroupLife insurance | 1299 | Hong Kong Exchanges and Clearing | Financials | $99.6bn |
Approximate reference values from public sources · seed-0.7 · marketcap-1 · 2026-08-30 · not real-time. See data & methodology.
# this page as data
GET https://finance.foundation/api/v1/countries/hong-kong
JSONCSV No key, CORS enabled — paste any of these straight into a notebook.
Code to fetch it
curl
curl -s https://finance.foundation/api/v1/countries/hong-kong
Python
import requests
r = requests.get("https://finance.foundation/api/v1/countries/hong-kong", timeout=30)
r.raise_for_status()
data = r.json()
JavaScript
const r = await fetch("https://finance.foundation/api/v1/countries/hong-kong");
if (!r.ok) throw new Error(r.status);
const data = await r.json();
pandas
import pandas as pd
df = pd.read_csv("https://finance.foundation/api/v1/countries/hong-kong.csv")