Half the Flagged Districts Are Already Dry: The El Nino Monsoon Enters Its Last Month

The Lift Line

In the same season, on the same list of vulnerable districts, some are losing the crop to drought and others to waterlogging. A national rainfall figure describes neither.

Why This Editorial Matters for Your Exam

This is the sharpest available illustration of a point examiners keep returning to: an average is not a distribution. It also gives you a live, dated dataset for questions on the monsoon, on drought management and on crop insurance, all of which are recurring GS1 and GS3 topics.

GS Paper 1: The monsoon and its variability; important geophysical phenomena.

GS Paper 3: Cropping patterns; irrigation; disaster management; agricultural insurance and minimum support prices.

Background and Context

The analysis. Of 315 districts identified as potentially affected by El Nino, 147, roughly 47 per cent, across 25 states and union territories, were recording deficient rainfall on cumulative rainfall for the season to 30 August 2026. The southwest monsoon season runs from June to September, so this is a season-to-date figure with a month still to run. Thirty of the flagged districts received excess or large-excess rainfall.

The high-priority subset. Of the 315, 111 districts are classified high priority because less than 25 per cent of their area is irrigated. Among these, about 36 per cent received deficient rainfall and about 17 per cent received excess or large-excess rainfall.

The extremes within it. Bageshwar received around 152 per cent more rainfall than normal, raising waterlogging and flooding risk.

The India Meteorological Department’s categories, which are what “deficient” means:

The Analysis

1. The headline finding is a distribution, not a shortfall. Deficient and excess districts appear inside the same flagged list, in the same season. A response designed around a single national number is designed for a condition that most districts are not in.

2. Irrigation share is the variable that converts a rainfall anomaly into distress. This is why the 111 high-priority districts are defined by irrigated area below 25 per cent rather than by rainfall. A canal-irrigated district can absorb a deficit; a rainfed one cannot. The hazard is meteorological; the vulnerability is infrastructural, and only the second is a policy variable in the short run.

3. Timing beats totals, and this is the most examinable point here. A crop does not experience a seasonal total. It experiences the rain that fell during germination, tillering and flowering. A season can end at a normal cumulative total while a three-week dry spell at flowering destroys the yield. Any framework triggered on cumulative rainfall will therefore miss a class of genuine failures and catch a class of false ones.

4. The El Nino link is statistical, and overstating it is a standard error. El Nino is associated with a weaker southwest monsoon; it does not determine one. Some El Nino years have produced normal Indian monsoons, and the Indian Ocean Dipole and the Madden-Julian Oscillation independently modulate the outcome. Write “associated with”, never “causes”.

5. The unit-of-measurement objection is real and should be conceded. A district is a large administrative unit and rainfall varies sharply within it. This matters most for crop insurance, where the assessment unit determines whether a farmer whose field failed receives a payout when the surrounding block did not fail. An insurance unit coarser than the variation it insures against fails at exactly the moment it is needed.

Data and Institutions Vault

Prelims-grade facts:

The 2026 analysis:

• 315 districts were identified as potentially affected by El Nino.
• 147 of them, about 47 per cent, were deficient on season-to-date rainfall to 30 August 2026.
• The deficient districts are spread across 25 states and union territories.
• 30 of the flagged districts recorded excess or large-excess rainfall.
• 111 of the 315 are high priority, with under 25 per cent of area irrigated.
• About 36 per cent of high-priority districts were rainfall deficient.
• About 17 per cent of high-priority districts had excess or large-excess rainfall.
• Bageshwar recorded about 152 per cent above normal rainfall.

IMD rainfall categories:

• Large excess is 60 per cent or more above the long period average.
• Excess is 20 to 59 per cent above the long period average.
• Normal is 19 per cent above to 19 per cent below.
• Deficient is 20 to 59 per cent below the long period average.
• Large deficient is 60 to 99 per cent below.
• The southwest monsoon season runs from June to September.

The climate drivers:

• ENSO is a coupled ocean-atmosphere oscillation in the equatorial Pacific.
• El Nino is its warm phase and La Nina its cold phase.
• El Nino is associated with, but does not determine, a weaker Indian monsoon.
• The Indian Ocean Dipole independently modulates monsoon performance.
• A positive Indian Ocean Dipole can offset an El Nino effect on Indian rainfall.
• The Madden-Julian Oscillation affects intra-seasonal monsoon activity.

The policy machinery:

• The Manual for Drought Management provides the framework for drought declaration.
• Drought assessment uses composite indicators including soil moisture and reservoir storage.
• Pradhan Mantri Fasal Bima Yojana is the national crop insurance scheme.
• The National Disaster Response Fund and State Disaster Response Funds finance relief.
• The Indian Meteorological Department issues the long range monsoon forecast.

⚠️ Watch the trap: Do not write that El Nino causes a weak Indian monsoon. The relationship is statistical, and it can be offset by a positive Indian Ocean Dipole among other factors. Equally, do not treat a normal cumulative seasonal total as evidence that agriculture was unaffected: the timing of dry spells within the season, not the total, is what a standing crop experiences.

The Debate

FOR (the district-level finding is actionable): It identifies where the rainfed, uninsured and unirrigated exposure actually sits, with a month of the season still to run, which is early enough for contingency seed and fodder planning.

AGAINST (a rainfall map is not a distress map): Districts are too coarse, cumulative totals conceal dry-spell timing, and irrigation, groundwater and cropping choice mediate everything. Rainfall data identifies hazard, not outcome.

Balanced verdict: The objection strengthens rather than weakens the analysis, because both point the same way. If the rainfall figure alone cannot identify distress, then relief and declaration triggers should not be built on it. The finding’s real value is not as a distress estimate but as a prioritisation list: these are the districts in which to go and look at soil moisture, sowing progress and reservoir levels first, while there is still a month in which to act.

How to Think About This

When any indicator is reported as a national aggregate, ask what the variance looks like. An aggregate is informative only when the distribution around it is narrow, and for Indian rainfall it never is. The habit worth building is to treat a national figure as the question rather than the answer: it tells you a season happened, and the district distribution tells you what the season did.

Diagram-in-Words

Takeaway Box

Lift line: In the same season, on the same list of vulnerable districts, some are losing the crop to drought and others to waterlogging. A national rainfall figure describes neither.

Prelims hooks: 315 flagged districts, 147 deficient across 25 states and UTs, 30 in excess, 111 high priority under 25 per cent irrigated; IMD categories with deficient at 20 to 59 per cent below the long period average; ENSO warm and cold phases; Indian Ocean Dipole; Manual for Drought Management; PM Fasal Bima Yojana.

Mains keywords: distribution against aggregate, rainfed vulnerability, dry-spell timing, insurance assessment unit, contingency cropping plan.

Ethics and interview angle: Relief triggers built on rainfall totals are simple, auditable and wrong for a class of genuine failures. Is administrative simplicity worth that error rate?

PYQ linkage: Connects to past UPSC Mains questions on monsoon variability and Indian agriculture, on drought management, and on the design of crop insurance.

Sources: Down To Earth

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