Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders

Total Deposits with Scheduled Banks — from the State Bank of Pakistan’s “Deposits Distributed by Category of Deposit Holders” dataset.

About this series

Total Deposits with Scheduled Banks — from the State Bank of Pakistan’s “Deposits Distributed by Category of Deposit Holders” dataset.

Use cases

Who uses this

Metadata

Series IDbanking.total
SourceSBP
UnitPKR
FrequencyMonthly
First observation31 Jul 2019
Last observation30 Jun 2026
Tierbasic

Fetch it

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

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 Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders?

Total Deposits with Scheduled Banks — from the State Bank of Pakistan’s “Deposits Distributed by Category of Deposit Holders” dataset.

Does PakDataHub have Pakistan money and banking data on Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders?

Yes. Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders is an official Pakistan money and banking time series (monthly, from SBP) available on the PakDataHub API, covering 2019 to 2026. Query it as JSON or CSV at /v1/series/banking.total, with server-side transforms (YoY, index, % change).

How far back does Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders go?

PakDataHub carries Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders covering 2019 to 2026, updated on a monthly basis from SBP.

How do I get Total Deposits with Scheduled Banks — Deposits Distributed by Category of Deposit Holders via the API?

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