| Market Center | Arrivals(in tonnes) | Unit of Arrivals | Origin | Variety | Minimum Prices(in Rs/quintals) | Maximum Prices(in Rs/quintals) | Modal Prices(in Rs/quintals) | Unit of Price |
|---|---|---|---|---|---|---|---|---|
| Fibre Crops | ||||||||
| Cotton | ||||||||
| Gujarat | ||||||||
| Amreli | 177.4 | Tonnes | NR | Other | 7000 | 12905 | 10325 | Rs/Quintal |
| Bagasara | 13 | Tonnes | NR | Other | 8025 | 12755 | 10390 | Rs/Quintal |
| Bodeli | 205.35 | Tonnes | NR | Shanker 6 (B) 30mm FIne | 9500 | 12501 | 11500 | Rs/Quintal |
| Bodeli(Hadod) | 72.53 | Tonnes | NR | Shanker 6 (B) 30mm FIne | 10000 | 13451 | 12000 | Rs/Quintal |
| Bodeli(Kalediya) | 57.62 | Tonnes | NR | Shanker 6 (B) 30mm FIne | 10000 | 13451 | 12000 | Rs/Quintal |
| Bodeli(Modasar) | 4.55 | Tonnes | NR | Shanker 6 (B) 30mm FIne | 9500 | 12501 | 11500 | Rs/Quintal |
| Chotila | 7.3 | Tonnes | NR | Shanker 6 (B) 30mm FIne | 8000 | 10000 | 9000 | Rs/Quintal |
| Dhansura | 0.5 | Tonnes | NR | RCH-2 | 8500 | 10000 | 9500 | Rs/Quintal |
| Dhoraji | 22.2 | Tonnes | NR | H.B (Unginned) | 8130 | 12505 | 11130 | Rs/Quintal |
| Dhrol | 22.4 | Tonnes | NR | Other | 8000 | 11570 | 9785 | Rs/Quintal |
| Halvad | 9.2 | Tonnes | NR | Other | 8250 | 10750 | 9750 | Rs/Quintal |
| Jambusar | 0.1 | Tonnes | NR | Other | 8400 | 9000 | 8600 | Rs/Quintal |
| Jambusar(Kaavi) | 1 | Tonnes | NR | Other | 8400 | 9000 | 8600 | Rs/Quintal |
| Jetpur(Dist.Rajkot) | 33.2 | Tonnes | NR | Cotton (Unginned) | 7500 | 13255 | 11250 | Rs/Quintal |
| Manavdar | 18.8 | Tonnes | NR | Shanker 4 31mm FIne | 5150 | 11625 | 11175 | Rs/Quintal |
| Rajkot | 360 | Tonnes | NR | Narma BT Cotton | 9155 | 12755 | 11715 | Rs/Quintal |
| Savarkundla | 25 | Tonnes | NR | Narma BT Cotton | 8750 | 12525 | 10638 | Rs/Quintal |
| Visavadar | 0.85 | Tonnes | NR | Other | 7720 | 10430 | 9075 | Rs/Quintal |
| Karnataka | ||||||||
| Kottur | 8 | Tonnes | NR | GCH | 3476 | 11701 | 11082 | Rs/Quintal |
| Savanur | 22 | Tonnes | NR | GCH | 8831 | 12222 | 11328 | Rs/Quintal |
| Madhya Pradesh | ||||||||
| Jhabua | 107.54 | Tonnes | NR | Desi | 9900 | 10700 | 10300 | Rs/Quintal |
| Maharashtra | ||||||||
| Jamner | 4 | Tonnes | NR | Other | 9700 | 11800 | 11125 | Rs/Quintal |
| Tamil Nadu | ||||||||
| Kolathur | 0.01 | Tonnes | NR | Other | 10100 | 12000 | 11800 | Rs/Quintal |
| Theni | 0.01 | Tonnes | NR | MCU 5 | 9200 | 9600 | 9400 | Rs/Quintal |
| Telangana | ||||||||
| Chityal | 1 | Tonnes | NR | Bramha | 5550 | 5750 | 5650 | Rs/Quintal |
| Enkoor | 0.01 | Tonnes | NR | Cotton (Unginned) | 5100 | 5800 | 5300 | Rs/Quintal |
| Halia | 0.1 | Tonnes | NR | Cotton (Unginned) | 6025 | 6025 | 6025 | Rs/Quintal |
| Ichoda | 0.01 | Tonnes | NR | Bramha | 7200 | 9500 | 9500 | Rs/Quintal |
| Indravelly(Utnoor) | NR | Tonnes | NR | Cotton (Unginned) | 8000 | 9600 | 9200 | Rs/Quintal |
| Karimnagar | 1.2 | Tonnes | NR | Cotton (Unginned) | 9159 | 11309 | 9500 | Rs/Quintal |
| Mothkur | 20 | Tonnes | NR | Bramha | 9000 | 9400 | 9200 | Rs/Quintal |
| Narsampet(Nekonda) | 0.6 | Tonnes | NR | Bramha | 9900 | 10580 | 9900 | Rs/Quintal |
| Nirmal | 0.01 | Tonnes | NR | Bramha | 7000 | 9000 | 9000 | Rs/Quintal |
| Parkal | 0.01 | Tonnes | NR | Cotton (Unginned) | 8000 | 9900 | 9000 | Rs/Quintal |
| Vemulawada | NR | Tonnes | NR | Cotton (Unginned) | 6025 | 7000 | 6500 | Rs/Quintal |
| Jute | ||||||||
| West Bengal | ||||||||
| Beldanga | 55 | Tonnes | NR | TD-5 | 6650 | 6720 | 6700 | Rs/Quintal |
| Islampur | 10 | Tonnes | NR | TD-5 | 7100 | 7300 | 7200 | Rs/Quintal |
| Kaliaganj | 10 | Tonnes | NR | TD-5 | 6700 | 6900 | 6800 | Rs/Quintal |
| Kasimbazar | 30 | Tonnes | NR | TD-5 | 6580 | 6620 | 6600 | Rs/Quintal |
| Nadia | 0.5 | Tonnes | NR | TD-5 | 6500 | 6700 | 6600 | Rs/Quintal |
| Raiganj | 8 | Tonnes | NR | TD-5 | 6900 | 7100 | 7000 | Rs/Quintal |
Bazaarinformation team has many years of experience, covering the physical and future commodities markets with prominent commodity & equity trading advising which shines further with extensive network to get research from ground levels to generate proper reporting and movements. We are able to get evens out of odds in volatile markets and stockings. ...
