The table below presents the freshwater fish production and pricing metrics across four re… — State PSC Exam

The table below presents the freshwater fish production and pricing metrics across four regional inland lake zones managed by the State Fisheries Development Board for the year 2025:

Lake Zone	Total Catch (in Tonnes)	Export Grade Share (%)	Local Market Price (in ₹ per kg)	Export Market Price (in ₹ per kg)
Lake Alpha	400	30%	150	350
Lake Beta	500	40%	160	400
Lake Gamma	350	20%	140	300
Lake Delta	600	25%	180	420

Note: $1\text{ Tonne} = 1,000\text{ kg}$ and $1\text{ Lakh} = 100,000$ .

Based on the table, calculate the total revenue (in ₹ Lakhs) generated by Lake Beta from both local and export market sales combined.

Answer: 1280 ₹ Lakhs

Answer

The total revenue generated by Lake Beta from local and export market sales combined is ₹1,280 Lakhs.

Lake Beta produces

500\text{ tonnes} = 500,000\text{ kg}

of fish.

40\%

of this (

200,000\text{ kg}

) is exported at ₹

400/\text{kg}

, yielding ₹

800\text{ Lakhs}

. The remaining

60\%

(

300,000\text{ kg}

) is sold locally at ₹

160/\text{kg}

, yielding ₹

480\text{ Lakhs}

. Combining both gives ₹

1,280\text{ Lakhs}

Step-by-Step Solution

Convert the total catch of Lake Beta to kilograms.

500\text{ tonnes} = 500,000\text{ kg}

Prices are given per kilogram, so total mass must be in kilograms.

Partition the total catch into export grade and local market quantities.

Export quantity =

40\% \times 500,000 = 200,000\text{ kg}

; Local quantity =

60\% \times 500,000 = 300,000\text{ kg}

Different market prices apply to export grade vs local grade catch.

Calculate monetary revenue for each grade and find their sum in ₹ Lakhs.

Export revenue =

200,000 \times 400 = ₹80,000,000 = ₹800\text{ Lakhs}

; Local revenue =

300,000 \times 160 = ₹48,000,000 = ₹480\text{ Lakhs}

; Total =

800 + 480 = ₹1,280\text{ Lakhs}

Summing both revenue streams gives the total earnings for Lake Beta.

Key Concept

Weighted revenue calculation from multi-column tabular data

Estimated Time:1m 30s

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