Total Debt and Liabilities As percent of GDP
Total Debt and Liabilities As percent of GDP
About this series
Total Debt and Liabilities As percent of GDP
Use cases
- Chart total debt and liabilities as percent of gdp and its full history in a dashboard or research note
- Track money and credit conditions via total debt and liabilities as percent of gdp
- Feed total debt and liabilities as percent of gdp into a banking or liquidity model
- Pull total debt and liabilities as percent of gdp into your stack as JSON or CSV
Who uses this
- Bank / ALM analyst
- Macro researcher
- Economist
- Fixed-income desk
Metadata
| Series ID | banking.total_debt_liabilities_as_percent_gdp |
|---|---|
| Source | SBP |
| Unit | % |
| Frequency | Quarterly |
| First observation | 30 Jun 2009 |
| Last observation | 31 Mar 2026 |
| Tier | basic |
Fetch it
curl -H "X-API-Key: pk_live_xxx" \
"https://api.pakdatahub.com/v1/series/banking.total_debt_liabilities_as_percent_gdp"
JSON by default; add ?format=csv for CSV, from/to to filter dates, or transform=yoy|mom|pct_change|3ma|index for server-side transforms. See the series endpoint docs and pricing.
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FAQ
What is Total Debt and Liabilities As percent of GDP?
Total Debt and Liabilities As percent of GDP
Does PakDataHub have Pakistan money and banking data on Total Debt and Liabilities As percent of GDP?
Yes. Total Debt and Liabilities As percent of GDP is an official Pakistan money and banking time series (quarterly, from SBP) available on the PakDataHub API, covering 2009 to 2026. Query it as JSON or CSV at /v1/series/banking.total_debt_liabilities_as_percent_gdp, with server-side transforms (YoY, index, % change).
How far back does Total Debt and Liabilities As percent of GDP go?
PakDataHub carries Total Debt and Liabilities As percent of GDP covering 2009 to 2026, updated on a quarterly basis from SBP.
How do I get Total Debt and Liabilities As percent of GDP via the API?
Call GET /v1/series/banking.total_debt_liabilities_as_percent_gdp with your API key. Add ?format=csv for a download, or filter by date with from/to.