Non-Performing Loans ratio of other sectors
Non-Performing Loans ratio of other sectors
About this series
Non-Performing Loans ratio of other sectors
Use cases
- Chart non-performing loans ratio of other sectors and its full history in a dashboard or research note
- Track money and credit conditions via non-performing loans ratio of other sectors
- Feed non-performing loans ratio of other sectors into a banking or liquidity model
- Pull non-performing loans ratio of other sectors into your stack as JSON or CSV
Who uses this
- Bank / ALM analyst
- Macro researcher
- Economist
- Fixed-income desk
Metadata
| Series ID | banking.npl.mfb.non_performing_loans_ratio_other_sectors |
|---|---|
| Source | SBP |
| Unit | % |
| Frequency | Quarterly |
| First observation | 31 Dec 2008 |
| Last observation | 30 Sept 2025 |
| Tier | basic |
Fetch it
curl -H "X-API-Key: pk_live_xxx" \
"https://api.pakdatahub.com/v1/series/banking.npl.mfb.non_performing_loans_ratio_other_sectors"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 Non-Performing Loans ratio of other sectors?
Non-Performing Loans ratio of other sectors
Does PakDataHub have Pakistan money and banking data on Non-Performing Loans ratio of other sectors?
Yes. Non-Performing Loans ratio of other sectors is an official Pakistan money and banking time series (quarterly, from SBP) available on the PakDataHub API, covering 2008 to 2025. Query it as JSON or CSV at /v1/series/banking.npl.mfb.non_performing_loans_ratio_other_sectors, with server-side transforms (YoY, index, % change).
How far back does Non-Performing Loans ratio of other sectors go?
PakDataHub carries Non-Performing Loans ratio of other sectors covering 2008 to 2025, updated on a quarterly basis from SBP.
How do I get Non-Performing Loans ratio of other sectors via the API?
Call GET /v1/series/banking.npl.mfb.non_performing_loans_ratio_other_sectors with your API key. Add ?format=csv for a download, or filter by date with from/to.