Non-government borrowings from SBP of scheduled banks - for Agriculture sector

SBP's gross claims on Scheduled banks; which include all direct credit provided by the SBP under Agriculture scheme.

About this series

SBP's gross claims on Scheduled banks; which include all direct credit provided by the SBP under Agriculture scheme.

Use cases

Who uses this

Metadata

Series IDbanking.non_government_borrowings_sbp_scheduled_bank
SourceSBP
UnitPKR
FrequencyQuarterly
First observation30 Jun 2014
Last observation30 Jun 2026
Tierbasic

Fetch it

curl -H "X-API-Key: pk_live_xxx" \
  "https://api.pakdatahub.com/v1/series/banking.non_government_borrowings_sbp_scheduled_bank"

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.

Related series

FAQ

What is Non-government borrowings from SBP of scheduled banks - for Agriculture sector?

SBP's gross claims on Scheduled banks; which include all direct credit provided by the SBP under Agriculture scheme.

Does PakDataHub have Pakistan money and banking data on Non-government borrowings from SBP of scheduled banks - for Agriculture sector?

Yes. Non-government borrowings from SBP of scheduled banks - for Agriculture sector is an official Pakistan money and banking time series (quarterly, from SBP) available on the PakDataHub API, covering 2014 to 2026. Query it as JSON or CSV at /v1/series/banking.non_government_borrowings_sbp_scheduled_bank, with server-side transforms (YoY, index, % change).

How far back does Non-government borrowings from SBP of scheduled banks - for Agriculture sector go?

PakDataHub carries Non-government borrowings from SBP of scheduled banks - for Agriculture sector covering 2014 to 2026, updated on a quarterly basis from SBP.

How do I get Non-government borrowings from SBP of scheduled banks - for Agriculture sector via the API?

Call GET /v1/series/banking.non_government_borrowings_sbp_scheduled_bank with your API key. Add ?format=csv for a download, or filter by date with from/to.