An analysis by ETIG shows that the correlation between the data on rainfall departure from the long period average (LPA) and agriculture GVA has remained negligible at under 0.05 over the past 25 years.
Rainfall change & Farm GVA correlation negligible
The rainfall-GDP growth correlation,too, is lower at around 0.07. Last Friday, the India Meteorological Department revised its estimate of monsoon rainfall to 90% of the LPA from 92% and raised the probability of the outcome to 60% from 35%. Economists cite multiple factors responsible for the lower correlation, including rising irrigated crop area, a growing share of Rabi crops in total farm production, and faster growth in livestock, forestry and fishing.
Additionally, the share of agriculture in the country’s total GVA has fallen to around 14% in FY25 from around 20% in FY12, driven by the growing services sector. ”The area under irrigation as a share of gross cropped area rose to 55.8% per cent in FY23 from 41.7% in FY02 implying lower dependence of crop output on direct rainfall,” said Rajani Sinha, chief economist, CareEdge Ratings.
A shift towards higher crop output during October-March period, known as the Rabi crop has also influenced the correlation. According to the third advance estimates of food grain production released by the Ministry of Agriculture and Farmers Welfare, Rabi output is expected to increase by 6.7% year-on year to 180.5 million tonnes while the Kharif crop is likely to grow by 3.9% to 176 million tonnes in FY26.
The share of Rabi crop in total food grains is expected to increase to nearly 48% from 47.3% a year ago while it will fall for Kharif crop to 46.8% from 47.4%.
“Rabi crop output has surpassed the Kharif output. The former relies more on winter rains and soil moisture. Hence reservoir positions and rain precipitation are important factors for Rabi,” said Devndra Pant, chief economist, India Ratings. The Kharif crop, which spans from June to September, relies heavily on the south-west monsoon and therefore it is more susceptible to the monsoon variations.








