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Guava down 7.7% to ₹6,000

Guava's median across 153 mandis was ₹6,000 a quintal, against ₹6,500 on the previous market day. Cheapest ₹2,000 at Bharuch APMC (Bharuch, Gujarat); dearest ₹14,500 at PMY Bilaspur (Bilaspur, Himachal Pradesh).

Key numbers

Median
₹6,000
Previous day
₹6,500
Mandis
153
Low – high
₹2,000 – ₹14,500
Photo: Iijjccoo at Dutch Wikipedia · Public domain · Representative image

New Delhi: Against ₹6,500 on the previous market day (6 October 2026), the price is ₹500 lower (7.7%). 144 mandis reported that day, 153 today.

Guava prices came in from 153 mandis in 16 states today. The lowest was ₹2,000 and the highest ₹14,500; most of that gap is variety and quality.

Before you sell: compare two or three nearby mandis, add the cost of transport, and take the crop dried and graded — clean produce fetches a better price.

Guava: national median, day by day

₹6,000₹6,000₹6,000₹6,500₹6,000
  1. 3 Oct149 mandis
  2. 4 Oct120 mandis
  3. 5 Oct164 mandis
  4. 6 Oct144 mandis
  5. 7 Oct153 mandis

The number of reporting mandis changes daily; a day with far fewer or more mandis is a less reliable comparison.

Median by state

Every mandi →
Himachal Pradesh13 mandis₹12,500
Tamil Nadu101 mandis₹6,500
Gujarat3 mandis₹6,250
Haryana6 mandis₹5,500
Maharashtra8 mandis₹5,100
Punjab11 mandis₹4,000
Uttarakhand2 mandis₹2,450

Highest- and lowest-paying mandis

Highest

  1. PMY BilaspurBilaspur, Himachal Pradesh₹14,500
  2. SMY NadaunHamirpur, Himachal Pradesh · Guava₹14,250
  3. SMY DharamshalaKangra, Himachal Pradesh · Guava₹13,500
  4. SMY RohrooShimla, Himachal Pradesh · Guava₹13,500
  5. PMY HamirpurHamirpur, Himachal Pradesh · Guava₹13,000

Lowest

  1. Manglaur APMCHaridwar, Uttarakhand₹2,000
  2. Ludhiana APMCLudhiana, Punjab₹2,000
  3. Bharuch APMCBharuch, Gujarat₹2,000
  4. Gaddiannaram APMCRanga Reddy, Telangana · Guava₹2,500
  5. Rampuraphul(Nabha Mandi) APMCBhatinda, Punjab₹2,500

Modal price, ₹ a quintal. Variety and quality change the price.

This story was written automatically from Agmarknet's official/open data. Every number in it comes from that data — nothing is estimated. Spot a mistake? Write to kisansamacharofficial@gmail.com.

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