In today’s mandi price update dated 16 May 2026, Mangkolemba APMC secured the top mandi position for Papaya(Raw) by recording the highest traded rate of ₹3,600 per quintal. Among all active agricultural markets, this mandi delivered the strongest price performance, making it the benchmark for today’s commodity trading session.

When one mandi leads the price chart across multiple regions, it reflects competitive bidding strength, quality arrivals, and concentrated buying demand. Such leadership is closely monitored by farmers, traders, and procurement agencies tracking daily mandi rates for strategic decisions.

Why Mangkolemba APMC Became the Top Mandi Today

  • Highest Recorded Price: ₹3,600
  • Average Price: ₹2,035
  • Total Reporting Mandis: 10
  • Date: 16 May 2026
  • Commodity: Papaya(Raw)

A top mandi position is rarely the result of a single trade. It typically reflects broader market competitiveness, where multiple buyers actively compete for available stock. Strong average prices further confirm that leadership is supported by consistent transaction activity.

Top Mandis Comparison – Regional Price Benchmark

MandiPrice (₹ per quintal)
Mangkolemba APMC₹3,600
Diglipur APMC₹3,000
Pamohi(Garchuk) APMC₹2,500
Habra APMC₹2,200
P.O. Uparhali Guwahati APMC₹2,100
Manubazar₹1,900
Banki APMC₹1,800
Kairana APMC₹1,250
Digapahandi APMC₹1,100
Surat APMC₹900

The comparison table clearly shows how Mangkolemba APMC outperformed other major mandis. In many cases, the leading mandi becomes the reference point for price negotiations in surrounding markets.

Arrival Volume & Quality Advantage

Total arrivals were recorded at 0 quintals. Competitive pricing can result from superior quality lots, efficient logistics, or stronger buyer participation in this market.

30-Day Performance Context – Sustained Strength?

Over the last 30 days, Papaya(Raw) prices ranged between ₹500 and ₹6,000, with the average hovering near ₹1,955.

If today’s top rate approaches or exceeds the monthly high, it signals strong structural demand. Consistent performance near upper price bands enhances the mandi’s credibility as a leading agricultural hub.

20-Day Historical Price Trend

DateHigh (₹)Low (₹)Average (₹)
16 May₹4,000₹500₹2,035
15 May₹4,000₹500₹2,088
14 May₹4,000₹500₹2,235
13 May₹4,000₹500₹2,190
12 May₹4,000₹500₹2,108
11 May₹3,000₹500₹1,636
09 May₹3,000₹500₹1,800
07 May₹4,000₹500₹1,952
05 May₹3,000₹1,500₹1,980
04 May₹3,000₹1,400₹2,008

Reviewing the 20-day historical data helps determine whether this top position is part of an ongoing upward trend or a short-term spike driven by selective buying.

What This Means for Farmers

For farmers seeking the best mandi price today, identifying the top-performing mandi can significantly impact net realization. However, transport costs, grading standards, and timing must be evaluated before shifting supply.

Trader & Procurement Perspective

Traders often track the top mandi rate as a pricing signal. If this market consistently leads, it may influence regional price expectations and procurement strategies across neighboring mandis.

Final Takeaway – Market Leadership Insight

On 16 May 2026, Mangkolemba APMC emerged as the top mandi for Papaya(Raw), setting the highest benchmark price of the day. Continued monitoring of daily mandi updates, arrival trends, and cross-market comparisons will determine whether this leadership sustains in upcoming sessions.


Frequently Asked Questions (FAQs)

“Top Mandi of the Day” means that Mangkolemba APMC recorded the highest prices for Papaya(Raw) compared to other mandis on 16 May 2026.

Higher prices in Mangkolemba APMC are usually driven by strong buyer demand, better quality arrivals, limited supply, or active participation from traders.

The top mandi is identified by comparing modal prices of Papaya(Raw) across multiple mandis for the same trading day.

Farmers may consider selling in nearby top mandis, but should also factor in transport costs, market fees, and real-time arrival trends before deciding.

Yes, the top mandi can change every day depending on supply levels, demand patterns, and overall trader activity.

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