Monthly grocery basket cost — National

Weekly cost in rupees of an illustrative monthly household grocery basket at PBS SPI prices for National: 40 kg wheat flour, 5 kg basmati rice (broken), 1 kg each masoor and gram pulse, two 2.5-kg tins of vegetable ghee, 4 kg sugar, 30 litres fresh milk, 2 dozen eggs, 4 kg chicken, 5 kg potatoes, 4 kg onions, 3 kg tomatoes, two 190-g packs of tea and an 800-g pack of salt. Sum of quantity x that week's price; an item missing for a week carries its last price for up to two weeks, otherwise the week is skipped. Derived by PakDataHub from official series.

Derived · PakDataHub method. Computed by PakDataHub from official series with a published formula (how the derived layer works). Weekly cost in rupees of an illustrative monthly household grocery basket at PBS SPI prices for National: 40 kg wheat flour, 5 kg basmati rice (broken), 1 kg each masoor and gram pulse, two 2.5-kg tins of vegetable ghee, 4 kg sugar, 30 litres fresh milk, 2 dozen eggs, 4 kg chicken, 5 kg potatoes, 4 kg onions, 3 kg tomatoes, two 190-g packs of tea and an 800-g pack of salt. Sum of quantity x that week's price; an item missing for a week carries its last price for up to two weeks, otherwise the week is skipped. Inputs: commodities.* (SPI, national).

Latest · 08 Oct 2026: 22,281 (PKR) — updated 08 Oct 2026

Change on period: +428.5 (+1.96%)

Recent observations

DateValue
08 Oct 202622,281
01 Oct 202621,852
24 Sept 202621,739
17 Sept 202621,818
10 Sept 202621,917
03 Sept 202622,019
27 Aug 202621,778
20 Aug 202621,966

Full history back to 13 Jul 2023, CSV export and API access start with a free key.

About this series

Weekly cost in rupees of an illustrative monthly household grocery basket at PBS SPI prices for National: 40 kg wheat flour, 5 kg basmati rice (broken), 1 kg each masoor and gram pulse, two 2.5-kg tins of vegetable ghee, 4 kg sugar, 30 litres fresh milk, 2 dozen eggs, 4 kg chicken, 5 kg potatoes, 4 kg onions, 3 kg tomatoes, two 190-g packs of tea and an 800-g pack of salt. Sum of quantity x that week's price; an item missing for a week carries its last price for up to two weeks, otherwise the week is skipped. Derived by PakDataHub from official series.

Use cases

Who uses this

Metadata

Series IDprices.grocery_basket.national
SourcePakDataHub (derived from official series)
UnitPKR
FrequencyWeekly
First observation13 Jul 2023
Last observation08 Oct 2026
Tierbasic

Fetch it

curl -H "X-API-Key: pk_live_xxx" \
  "https://api.pakdatahub.com/v1/series/prices.grocery_basket.national"

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 Monthly grocery basket cost — National?

Weekly cost in rupees of an illustrative monthly household grocery basket at PBS SPI prices for National: 40 kg wheat flour, 5 kg basmati rice (broken), 1 kg each masoor and gram pulse, two 2.5-kg tins of vegetable ghee, 4 kg sugar, 30 litres fresh milk, 2 dozen eggs, 4 kg chicken, 5 kg potatoes, 4 kg onions, 3 kg tomatoes, two 190-g packs of tea and an 800-g pack of salt. Sum of quantity x that week's price; an item missing for a week carries its last price for up to two weeks, otherwise the week is skipped. Derived by PakDataHub from official series.

Does PakDataHub have Pakistan inflation and price data on Monthly grocery basket cost — National?

Yes. Monthly grocery basket cost — National is an official Pakistan inflation and price time series (weekly, from PakDataHub) available on the PakDataHub API, covering 2023 to 2026. Query it as JSON or CSV at /v1/series/prices.grocery_basket.national, with server-side transforms (YoY, index, % change).

How far back does Monthly grocery basket cost — National go?

PakDataHub carries Monthly grocery basket cost — National covering 2023 to 2026, updated on a weekly basis from PakDataHub.

How do I get Monthly grocery basket cost — National via the API?

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