Pulse Mash (Washed)
SPI weekly retail price — Pulse Mash (Washed)
Latest · 01 Oct 2026: 488.7 (PKR/kg) — updated 01 Oct 2026
Change on period: +12.06 (+2.53%)
Recent observations
| Date | Value |
|---|---|
| 01 Oct 2026 | 488.7 |
| 01 Oct 2026 | 476.6 |
| 01 Oct 2026 | 426.2 |
| 01 Oct 2026 | 473.7 |
| 01 Oct 2026 | 450.0 |
| 01 Oct 2026 | 450.0 |
| 01 Oct 2026 | 493.9 |
| 01 Oct 2026 | 513.0 |
Full history back to 13 Jul 2023, CSV export and API access start with a free key.
About this series
SPI weekly retail price — Pulse Mash (Washed)
Use cases
- Chart pulse mash (washed) and its full history in a dashboard or research note
- Track pulse mash (washed) for a cost-of-living or margin model
- Compare prices across cities and time
- Pull pulse mash (washed) into your stack as JSON or CSV
Who uses this
- Commodity analyst
- FMCG / retail planner
- Policy analyst
- Journalist
Metadata
| Series ID | commodities.pulse_mash |
|---|---|
| Source | PBS |
| Unit | PKR/kg |
| Frequency | Weekly |
| First observation | 13 Jul 2023 |
| Last observation | 01 Oct 2026 |
| Tier | basic |
Fetch it
curl -H "X-API-Key: pk_live_xxx" \
"https://api.pakdatahub.com/v1/series/commodities.pulse_mash"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 Pulse Mash (Washed)?
SPI weekly retail price — Pulse Mash (Washed)
Does PakDataHub have Pakistan commodity-price data on Pulse Mash (Washed)?
Yes. Pulse Mash (Washed) is an official Pakistan commodity-price time series (weekly, from PBS) available on the PakDataHub API, covering 2023 to 2026. Query it as JSON or CSV at /v1/series/commodities.pulse_mash, with server-side transforms (YoY, index, % change).
How far back does Pulse Mash (Washed) go?
PakDataHub carries Pulse Mash (Washed) covering 2023 to 2026, updated on a weekly basis from PBS.
How do I get Pulse Mash (Washed) via the API?
Call GET /v1/series/commodities.pulse_mash with your API key. Add ?format=csv for a download, or filter by date with from/to.