Andhra Pradesh Weather, AQI and Fuel Prices

Why Check Andhra Pradesh Weather & Data?

Andhra Pradesh runs an economy worth roughly ₹15.9 lakh crore in the 2024-25 fiscal year, expanding 8.21 percent in real terms, the second-fastest growth rate of any major Indian state that year (current-price estimates run higher, ₹16.06 to ₹16.41 lakh crore). A large share of that growth traces to water: the state supplies close to 70 percent of India's farmed shrimp and earned $2.3 billion from seafood exports in 2023-24 alone, 32 percent of the country's total marine-export value, from aquaculture ponds strung along the coast through Bhimavaram, Kakinada and Visakhapatnam. Rice and chilli anchor the rest of the farm economy: Andhra Pradesh is India's largest chilli producer, growing 1,185 kilotonnes in 2024, a 44 percent national share, alongside more than 7.3 million tonnes of rice. Meanwhile Amaravati, the state's still-unfinished capital on the Krishna river, is mid-rebuild: the World Bank and Asian Development Bank committed roughly ₹13,500 crore in loans in late 2024, and works worth ₹57,821 crore are under way toward Chief Minister Chandrababu Naidu's push to finish core government buildings by 2026. None of that sits far from the Bay of Bengal, which decides how much of it survives a given cyclone season. This page's live weather, AQI and fuel numbers serve very different readers depending on where they sit: a Kakinada shrimp farmer checking a cyclone advisory before a harvest, an Amaravati construction supervisor watching a heat alert, a Nandyal outdoor worker planning around Rayalaseema's punishing summer, a Krishna delta rice farmer tracking the monsoon's progress north from Tamil Nadu.

The Coast's Cyclones, Rayalaseema's Heat: Andhra Pradesh's Two Real Risks

Andhra Pradesh's 1,053-kilometre coastline, the third-longest of any Indian state after the 2023-24 remeasurement, has historically taken the highest frequency of severe cyclonic storms of any state on India's mainland. Cyclone Michaung crossed the coast near Bapatla on December 5, 2023, with winds of 90 to 100 kmph gusting to 110; the storm killed 17 people across Andhra Pradesh and Tamil Nadu combined, most in Chennai, caused an estimated $1.32 billion in damage, and destroyed roughly 600,000 acres of standing rice, cotton, chilli and maize, while Andhra Pradesh itself moved more than 9,500 people into 211 relief camps ahead of landfall. Almost two years later, Cyclone Montha made landfall between Kakinada and Machilipatnam on the night of October 28-29, 2025, with comparable 90 to 110 kmph winds; it killed three people in Andhra Pradesh's Godavari districts and Konaseema, mostly from falling trees, pushed 1.8 lakh residents into relief camps, and damaged more than 38,000 hectares of standing crop and 1.38 lakh hectares of horticulture. Rayalaseema carries a different, drier risk. Nandyal was ranked India's hottest recorded location for three straight days in May 2024, touching 46.2°C, with neighbouring Kurnool close behind at 46.8°C the same year, heat severe enough that state officials now describe conditions once confined to Rayalaseema spreading into Andhra Pradesh's coastal and central districts too.

How to Use Andhra Pradesh's Data for Daily Decisions

Shrimp and fish farmers along the Bhimavaram-Kakinada-Visakhapatnam aquaculture belt should treat any cyclone or deep depression watch as a stand-down signal for pond aeration and harvest logistics well before wind speeds turn dangerous, since a storm surge can wipe out a pond's stock within hours. Rice and chilli farmers in the Krishna and Godavari deltas should track the monsoon's progressive arrival through June rather than a single onset date, and check the cyclone tracker again every October and November, exactly the window that produced both Michaung and Montha. Construction crews on the Amaravati capital project should shift outdoor labour to before 8am through the Krishna-Guntur belt's hottest months, March to June, when heat advisories turn serious. Outdoor workers and travellers in Nandyal, Kurnool and the rest of Rayalaseema should check the day's heat index before any midday activity through peak summer, given the region's recurring run of the country's hottest recorded temperatures. Anyone flying through Visakhapatnam or Vijayawada airports in October, November or December should check cyclone advisories alongside the ordinary forecast, not instead of it, since both Michaung and Montha disrupted coastal transport with only a few days' warning.

Andhra Pradesh's Seasonal Calendar

The southwest monsoon reaches Andhra Pradesh's coast around June 4-5 and takes until mid-June to cover the whole state, holding through September and delivering the bulk of the state's roughly 940 to 1,180mm average annual rainfall, depending on the district. Heat season runs March to June across Rayalaseema, peaking in April and May, when Nandyal and Kurnool regularly cross 44°C and have touched 46 to 47°C in recent summers. Two cyclone windows bracket the year on the Bay of Bengal side, April to June and October to December, the same October-December stretch in which both Michaung and Montha made landfall in consecutive recent years. Sankranti in mid-January, Andhra Pradesh's largest harvest festival, falls at the tail end of the cyclone season and the start of the state's short, mild winter, the calmest stretch for outdoor travel and construction. Anyone booking a Vizag, Vijayawada or Tirupati trip through October to December should check the cyclone tracker before finalising the calendar, not just the day-of forecast, given how quickly a Bay of Bengal system can intensify in the final 24 to 48 hours before landfall.

Andhra Pradesh vs Nearby States: Weather & Data Comparison

Telangana, Odisha and Tamil Nadu figures are reused from this site's own already-published pages for internal consistency; Andhra Pradesh figures are freshly sourced. Population figures are third-party demographic projections, not actual Census counts, since India's next Census has not yet been conducted. Treat this as a broad reference, not a single-source dataset.