The other situations we have pages for

One page each: what happened, what the satellite sees, and every figure with the outlet it came from.

Flooded fields under monsoon cloud

India’s extreme rain

Every reading against its published limit. Every gap named.

Year round

PERIODIC — an archive, not a live gauge

13days

over IMD’s heavy-rain threshold in 2025 · Mangaluru, Karnataka

4,283 mm in the year, +69% on its normal

IMD calls 64.5 mm in 24 hours heavy rain. Crossed 13 times in one year — and no rule caps how often.

12 grid points, ECMWF ERA5 / ERA5-Land reanalysis. What counts as extreme.

A year’s rain in an afternoon

Across these 12 cities there is more rain, and more days heavy enough to cross IMD’s threshold. What this data does not show is rain getting more concentrated.

A flood is not a weather event. It is rainfall meeting a decision about where to build.

Annual rainfall rose at 9 of these 12 cities, and extreme-rain days at 8. 6 of 12 are already above their own normal this season.

The heaviest 24 hours in the whole archive is 336 mm at Patna on 30 June 1996 — 1.6× IMD’s top class, and thirty years ago. The record is not the story here; the frequency is. 2025’s heaviest day anywhere on this list was 159 mm at Guwahati.

All 12 cities

Who it kills

Who it kills

3,594 people in 2024, from five named causes in one official table. Four of the five rose.

3,594

deaths from flood, landslide, lightning, torrential rain and cyclone, 2024

361 + 39 + 2825 + 351 + 18 for 2024; 266 + 61 + 2560 + 239 + 2 for 2023. Addition on five published rows of one table, nothing else.

2,825

of them from lightning alone

More than the other four causes put together (769). Lightning is the largest single killer in India’s whole table of deaths from forces of nature, and it is almost never the subject of a climate story.

Counted or measuredModelled

The five causes, 2024

CauseRecorded deathsDeathsvs 2023
Lightningup on 2023 2,825 +10.4%
Floodup on 2023 361 +35.7%
Landslideup on 2023 351 +46.9%
Torrential Raindown on 2023 39 -36.1%
Cycloneup on 2023 18 +800.0%

Landslide deaths rose 46.9% and flood deaths 35.7% in one year. Cyclone deaths went from 2 to 18 — a small number moving a long way, which is what a single landfall looks like in an annual table.

These are recorded deaths, and they are a floor. A death enters this table only if an authority attributed it to a named cause and filed it. And 1,626 deaths in the same table — 20.6% — have no named cause at all.

There is no national count of landslide EVENTS, flash floods or cloudbursts. NCRB counts deaths by cause; nobody publishes how many times the ground moved. A landslide’s death toll is counted. The landslide is not.

What counts as extreme

What counts as extreme

IMD classifies a rainfall day, and the boundaries are its own. So an extreme rainfall day is a countable event, not an adjective.

64.5heavymm in 24 hours
115.6very heavymm in 24 hours
204.5extremely heavymm and above

Every “extreme rain day” on this page is a day that crossed 64.5 mm at that grid point. Nothing here is a judgement about whether the rain was unusual — it is a comparison against a notified boundary.

IMD classifies a DAY, not a storm. 200 mm in three hours and 200 mm spread over a full day are the same category and are not the same event. That distinction is why a day-class cannot tell you whether a street flooded.

Sources. Categories: India Meteorological Department — 24-hour rainfall day categories. Readings: Open-Meteo ERA5 archive. Deaths: Accidental Deaths & Suicides in India 2024, Table 1.0 — Number and Share of Accidental Deaths due to Forces of Nature and Other Causes, 2023 & 2024.

Twelve cities

Twelve cities

Days over IMD's heavy-rain threshold in 2025, and the year's total beside it. Season-to-date figures beside each city run to 30 September 2026.

CityDays over 64.5 mmDays2025 total
MangaluruKarnataka · season to 30 Sep +6.4% on normal 13 4,283mm
MumbaiMaharashtra · season to 30 Sep +5.6% on normal 7 2,668mm
ChennaiTamil Nadu · season to 30 Sep +10.9% on normal 4 1,700mm
KochiKerala · season to 30 Sep -16.8% on normal 4 2,953mm
GuwahatiAssam · season to 30 Sep -23.3% on normal 2 2,284mm
DehradunUttarakhand · season to 30 Sep -13.3% on normal 1 1,145mm
BhubaneswarOdisha · season to 30 Sep +102.5% on normal 1 1,708mm
DelhiDelhi · season to 30 Sep +22.7% on normal 0 716mm
KolkataWest Bengal · season to 30 Sep +32.9% on normal 0 1,951mm
BengaluruKarnataka · season to 30 Sep -3.2% on normal 0 1,035mm
ShimlaHimachal Pradesh · season to 30 Sep -30.2% on normal 0 1,430mm
PatnaBihar · season to 30 Sep -17.2% on normal 0 1,030mm

A sum of station-days, NOT a national count of extreme rainfall days. 32 station-days across 12 cities in 2025.

Every city against its own normal
City2025 NormalRainy days Top 5 daysWettest ever
Mangaluru 4,2832,539 17311.9% 258
Kochi 2,9532,596 19212.5% 254
Mumbai 2,6681,924 14021.6% 251
Guwahati 2,2842,879 14616.8% 192
Kolkata 1,9511,620 14911.0% 155
Bhubaneswar 1,7081,596 13514.9% 293
Chennai 1,700982 11125.3% 256
Shimla 1,4301,596 12615.2% 188
Dehradun 1,1451,392 8624.7% 258
Bengaluru 1,035913 11312.5% 127
Patna 1,0301,117 7421.1% 336
Delhi 716664 6617.8% 229

All figures in millimetres unless marked. “Top 5 days” is the share of the year’s rain that fell on its five wettest days — one division on two measured numbers, and the closest this page gets to describing how concentrated the rain is.

What is changing

What is changing

More rain, in more extreme days. The concentration is the part that is not moving.

Four measures, the first eighteen years against the last, counted across all 12 cities. The pale bar is cities where it rose, the grey where it did not move, the dark where it fell.

Total rainfall 9↑ 3↓
Days over the heavy threshold 8↑ 3↓
Very heavy days and above 5↑ 5↓
Share falling in the five wettest days 4↑ 8↓

Rainfall is up at 9 of 12 cities and extreme days at 8. But the share arriving in the five wettest days is down at 8 of them — so this dataset shows more rain and more extreme days without showing rain getting more concentrated.

How many of the reporting stations move each way between the first and second halves of the record. Counted as stations, never averaged into a national trend. And ERA5 reanalysis — a model constrained by observations. Rain is far more local than heat: one gauge can record a cloudburst another two kilometres away never sees, and a 9 km cell has one answer.

And who is looking

Views of the English Wikipedia article on climate change in India. Lighter bars are monsoon months. Peak 8,800 in Jan 2022, floor 951 in Oct 2026 — 9.3×. It measures attention, never rainfall.

What is being said

What is being said

The register. Reporting is tagged as reporting.

10 items from 8 publishers. A headline is evidence that something was said, never that it is true.

Read the 10 most recent items

Coverage follows the flood, not the rainfall. A 300 mm day in a place with drainage is a wet afternoon. The same day where a lake was built over is a disaster. The rain is the same; only one of them gets a headline — and it is the second one that tells you something about a city.

What you can do

What you can do

Rainfall is weather. A flood is a decision.

Find out what was there before

Most urban flooding happens where water used to go — a lake, a nala, a floodplain. City master plans and old survey maps are public. If your street floods, something was built on the way out.

The Yamuna floodplain

Lightning is the one you can act on today

2,825 deaths a year, mostly outdoors, mostly avoidable with thirty minutes of shelter. It is the largest killer on this page and the cheapest to reduce.

What we work on

Ask who signed it off

Every building on a floodplain has an approval with a name on it. That is a public record, and it is a more useful question than how much it rained.

Support the work

Every figure here is public, dated and reproducible from the source named beside it.

A gap is a gap

An empty day stays empty — a gap in the record is a gap in the record, never a zero.

Cite this page

Reuse freely — CC BY 4.0. Every figure carries its source and its cadence in how the number is made. If you quote a number from here, quote the kind with it. Each upstream source keeps its own terms.

This is what we are doing.
It is not enough.

The work against this reading

Mostly the written record, and going to look. Three of the essays on this site were reported out of flood years, and Gram Anubhav takes groups into villages living with this, run with over a hundred grassroots partners in the villages themselves.

And why it is not a reply

Publishing and going to see are not resilience. Swechha does not build drainage, and nothing here reduces the 3,594 deaths this page counts. What the work does is make the count harder to ignore — a smaller claim than it sounds, and the only one the evidence supports.

Once a month, what these numbers did.

One email. What the six readings did that month, what moved and what did not, and what we did about it. Nothing else, ever — no appeals between digests, and your address is never shared with anybody.

Confirm by email before anything is stored. Every message carries a one-click link to stop them.