The price of a basket of life.
Every month, the government checks the price of roughly three hundred things an ordinary household buys: and tells us, with a single number, how much dearer life has become.
The current reading
Recorded 12 Sep 2026Headline CPI inflation, August 2026, on the rebased 2024=100 index: above the RBI's 4% target since June 2026.
On the 2024 base, headline inflation was 4.8% in Aug 2026, up 0.3 points from July's 4.5%, 0.8 points above the 4% target, and the seventh straight rise since January's 2.7%. Food and beverages ran at 5.7% and transport at 4.6%; restaurants and accommodation services, at 8.4%, spent a third month above the 6% ceiling; and the highest of the twelve divisions, personal care at 15.2%, carries gold, which answers to world prices: a spectator rather than a domestic story. The climb is genuine; its breadth is not: three divisions sit above the headline and nine below, health, the lowest at 1.3%, has been under the 2% floor for seven prints, and only paan, tobacco and intoxicants moved against the print, down 0.1 points. Rural inflation was 5.2% against urban 4.3%, and inside each the pattern repeats: personal care at 16.0% rural and 14.1% urban, health at 1.3% in both. State indices run from Telangana at 6.3% to Mizoram at 2.4%, their rural and urban versions from Telangana rural at 6.8% to Mizoram urban at 2.0%, and the state-by-division tables widen the range to Ladakh's paan, tobacco and intoxicants at 38.1% and Goa's at -3.7%. The 358 items run from silver jewellery at 107.1% to tomato at -31.1%, and the 43 groups from other personal effects at 44.6% to purchase of vehicles at -4.4%. The Labour Bureau's separate index for industrial workers, for the same month, holds its six groups between food at 6.3% and clothing, bedding and footwear at 3.6%; its general rate is left to the §13 plate.
The headline for Aug 2026 is 4.8%. December 2025's 1.3% is the retired 2012 base's last reading: a different ruler, not an earlier step on the same one. The 2024 base publishes no component weights, so no core index can be computed on it; the final core figure, 4.6%, is a 2012-base number, measured in a month whose headline was 1.3%. What the new base does show is spread: food and beverages at 5.7%, restaurants and accommodation services at 8.4%, personal care at 15.2%, and health at 1.3%, the lowest of the twelve divisions. What it cannot show is whether underlying pressure is easing, because the instrument for that question does not exist here. We do not know.
The new base: a continuous headline
y/y %, base 2024, 2014 to 2026One continuous headline on the new ruler
The blue line is one continuous headline on the 2024 base: no seam, no splice. It exists because the NSO did the hard part itself: it back-cast the new index to 2013, re-reading the whole last decade on the new ruler, and it prints live levels from 2025. Joining the two (both base 2024=100) gives a single 2014–2026 series. The one gap, the 2025 year-on-year, is computed at the handoff, from the back-cast's 2024 levels to the live 2025 levels. No 2012 figure enters this line.
The line lightens to the left of January 2025. That paler portion is the NSO's back-cast: a reconstruction of history on the 2024 basket, not a direct measurement, and the NSO may restate it. From January 2025 the stroke turns dark: live, collected prices. The change of weight is the change of evidence. Read the dark part as fact and the lighter part as the NSO's best estimate of what the new ruler would have shown.
The faint grey line is the retired 2012 ruler, drawn for comparison. Where the two overlap they read the same months slightly differently: a different basket at work, not a contradiction. This is why the two bases are never joined into one number: they are different rulers. The continuous line sidesteps the question by staying on a single ruler throughout.
The continuous headline stands at 4.8% in August, having firmed every month since it opened the year at 2.7%. The old ruler's last reading was 1.3% in December; over the years both describe, the two part by at most 0.3 pt: the new basket reads the old decade almost identically, then carries on alone.
The new basket, opened up
y/y %, base 2024, 12 divisions, 43 groups, 358 items, rural/urbanTwelve divisions: what the new ruler is made of
The old base squeezed the whole service economy, rents, health, education, transport, phones, restaurants, gold, into a single 28-per-cent "miscellaneous" block. The 2024 rebase splits that block open along the international COICOP-2018 lines, and for the first time each service division gets its own reading. Read the strip as a league table of what is actually firming the new basket.
One division sits in a different country from the rest. Personal care, which carries gold, runs at 15.2%: gold is set in world markets and moves to none of the logic that governs the other eleven. Treat it as a spectator; the basket's story lives in the cluster below.
Three divisions run above the headline. One is gold: personal care, a world-market spectator; the rest are the domestic economy, led by restaurants and hotels at 8.4%, the line that tracks Indians eating out. Near the floor, information & communication sits at 2.0%: phones and data are getting dearer more slowly than most of the basket.
The spread runs from Personal care, incl. gold, 15.2% down to Health, 1.3%: 13.9 points end to end. The headline is the weighted average of these twelve, and the weights are not yet published. So the headline stays the published all-groups index, and the divisions stay a ranking, honestly unweighted.
The village and the town, on the new ruler
The rural-urban wedge on the retired 2012 base (§10) was mostly the food wedge, amplified by eighteen points of extra food weight in the village basket. The rebase redraws both baskets with 2024 weights: and the wedge survives it. The village line runs above the town line in seven of the new base's eight prints.
Rural inflation closed August at 5.2% against urban 4.3%: a gap of 0.9 pt. The ordering is the same as on the old base, which means the structural cause, food weighing more in the village, survived the rebase. Eight months is too short to call a trend.
The village pays more in nine of twelve divisions
The headline plate above says the village runs hotter than the town. This one says where. Each row is one of the twelve divisions, priced separately in rural and urban markets with each sector's own weights. A row where the two dots sit far apart is a part of the household budget where the village and the town are living through different years.
In August rural prices ran ahead of urban in nine of the twelve divisions. The widest gap is in personal care, rural 16.0% against urban 14.1%; the two sectors agree most on health (the same rate in both).
The forty-three groups: the divisions, opened further
One rung down from the twelve divisions: the forty-three groups of the international COICOP classification. Cereals, milk, electricity, garments, motor fuels, gold: each a panel on its own short clock. Eight months cannot show a cycle, so the lines are not the point; the ordering and the colour are. Read the grid as a ranked field: panels at the top run hot, panels at the bottom run cool, and the blue marks every group above the all-groups headline.
The hottest group is Other personal effects, 44.6%; the coolest Purchase of vehicles, -4.4%. The gold-carrying group sits at the top of the field, a world-market price passing through the basket: set it aside and the rest of the grid tells the domestic story.
The new basket, item by item: fifteen hottest, fifteen coldest
| Item | Latest y/y | vs prev. month | Level, 2024=100 | Jan to Aug 2026 |
|---|---|---|---|---|
| Silver jewellery1 of 358, Personal care, social protection and miscellaneous goods and services, 13.2.1.1.1.02 | 107.1% | ▼ −2.8 pt, easing | 278.0 | |
| Ginger2 of 358, Food and beverages, 01.1.9.4.1.04 | 73.8% | ▼ −9.8 pt, easing | 115.3 | |
| Onion3 of 358, Food and beverages, 01.1.7.4.1.01 | 48.3% | ▲ +25.7 pt, firming | 105.0 | |
| Garlic4 of 358, Food and beverages, 01.1.7.4.1.02 | 43.6% | ▲ +8.2 pt, firming | 77.9 | |
| Gold /diamond /platinum jewellery5 of 358, Personal care, social protection and miscellaneous goods and services, 13.2.1.1.1.01 | 35.5% | ▲ +2.5 pt, firming | 169.6 | |
| Small millets and its products6 of 358, Food and beverages, 01.1.1.1.1.07 | 29.8% | ▲ +8.6 pt, firming | 132.4 | |
| Sugar7 of 358, Food and beverages, 01.1.8.1.1.01 | 24.2% | ▲ +19.3 pt, firming | 130.0 | |
| Airfare8 of 358, Transport, 07.3.3.1.2.01 | 20.9% | ▼ −2.0 pt, easing | 135.5 | |
| Cigarettes9 of 358, Paan, tobacco and intoxicants, 02.3.0.1.1.01 | 20.0% | ▲ +0.9 pt, firming | 121.3 | |
| Litchi10 of 358, Food and beverages, 01.1.6.3.1.02 | 19.8% | ▲ +12.1 pt, firming | 121.8 | |
| Dry chillies11 of 358, Food and beverages, 01.1.9.4.1.01 | 18.9% | ▲ +2.5 pt, firming | 111.3 | |
| Coconut: copra12 of 358, Food and beverages, 01.1.6.7.1.03 | 17.8% | ▼ −8.1 pt, easing | 183.5 | |
| Apple13 of 358, Food and beverages, 01.1.6.3.1.01 | 16.8% | ▲ +13.2 pt, firming | 136.1 | |
| Pen-drive and external hard disk14 of 358, Information and communication, 08.1.5.0.1.01 | 16.8% | ▲ +2.3 pt, firming | 121.0 | |
| Pears/ nashpati15 of 358, Food and beverages, 01.1.6.3.1.03 | 16.7% | unchanged | 112.7 | |
| ⋯ 328 items between 16.7% and -1.9%: the full basket ships in the CSV ⋯ | ||||
| Other cold beverages344 of 358, Food and beverages, 01.2.9.0.1.03 | -1.9% | unchanged | 98.8 | |
| Peas345 of 358, Food and beverages, 01.1.7.3.1.02 | -2.0% | ▲ +3.3 pt, firming | 145.6 | |
| Cumin (jeera)346 of 358, Food and beverages, 01.1.9.4.1.02 | -2.2% | ▲ +1.0 pt, firming | 85.3 | |
| Baby food347 of 358, Food and beverages, 01.1.9.2.1.01 | -2.4% | ▼ −0.3 pt, easing | 101.5 | |
| Green chillies348 of 358, Food and beverages, 01.1.7.2.1.04 | -2.6% | ▲ +0.4 pt, firming | 107.7 | |
| Coconut349 of 358, Food and beverages, 01.1.6.1.1.04 | -3.0% | unchanged | 144.5 | |
| Motor cycle and scooter350 of 358, Transport, 07.1.2.0.1.01 | -3.3% | unchanged | 100.8 | |
| Parwal/patal and Kundru351 of 358, Food and beverages, 01.1.7.2.1.06 | -3.6% | ▼ −2.8 pt, easing | 98.3 | |
| Lady's finger352 of 358, Food and beverages, 01.1.7.2.1.02 | -5.4% | ▲ +0.1 pt, firming | 89.8 | |
| Motor car and jeep353 of 358, Transport, 07.1.1.1.1.01 | -6.7% | unchanged | 95.3 | |
| Peas, chickpeas354 of 358, Food and beverages, 01.1.7.6.1.07 | -7.5% | ▼ −0.9 pt, easing | 91.9 | |
| Singara355 of 358, Food and beverages, 01.1.6.5.1.04 | -11.4% | ▼ −5.7 pt, easing | 117.6 | |
| Potato356 of 358, Food and beverages, 01.1.7.5.1.01 | -13.1% | ▲ +3.5 pt, firming | 70.9 | |
| Coconut oil357 of 358, Food and beverages, 01.1.5.1.1.04 | -29.9% | ▼ −5.1 pt, easing | 150.2 | |
| Tomato358 of 358, Food and beverages, 01.1.7.2.1.01 | -31.1% | ▼ −26.5 pt, easing | 96.5 | |
An index this size is an argument between 358 prices, and the headline is the truce. These are the items themselves, rice to train fares to gold, ranked by the latest print. The top of the table is where a household feels inflation before the statistics do; the bottom is where prices are falling while the average firms. Thirty rows are shown; the field ships complete in the CSV.
Each row carries two different clocks. The y/y column counts the last twelve months. The level column counts from the 2024 average, which the base year fixed at 100: and because that average is barely behind us, the level is the item's whole life on this ruler so far. An item at 130 has risen three times as much as one at 110, whatever this month's y/y says.
The August spread runs 138.2 points end to end: silver jewellery at 107.1% down to tomato at -31.1%. The median item sits at 2.9%, and 37 of the 358 print below zero, in a month the headline stood at 4.8%.
The level column has its own leader: silver jewellery stands at 278.0 against a 2024 average of 100. And a disclosure the API makes possible: none of the 358 item indices has yet needed imputation at the all-India level: every figure in this table was compiled from collected prices.
The register of series
Weights, latest, year ago| Series | Weight | Latest y/y | vs prev. month | Year ago | Series span |
|---|---|---|---|---|---|
| Headline CPI, base 2024All items: published all-groups index; the API serves no weights for this base yet | — | 4.8% | ▲ +0.3 pt, firming | — | |
| Food & beverages, base 2024Division 01 of the redrawn COICOP-2018-style basket | — | 5.7% | ▲ +0.4 pt, firming | — | |
| Other personal effects, base 2024Group, division 12: jewellery lives here; gold is priced in world markets | — | 44.6% | ▲ +1.0 pt, firming | — | |
| Electricity, gas & other fuels, base 2024Group, division 04: the household energy bill on the new basket | — | 3.1% | ▲ +1.1 pt, firming | — | |
| Passenger transport services, base 2024Group, division 07: fares, from bus to airline | — | 3.4% | ▲ +0.5 pt, firming | — | |
| Headline CPI (combined), base 2012Base retired, to Dec 2025: computed from group indices | 100.0 | 1.3% | — | 5.2% | |
| Food & beverages, base 2012Base retired, to Dec 2025, nearly half the basket | 45.9 | -1.9% | — | 7.7% | |
| Fuel & light, base 2012Base retired, to Dec 2025, LPG, kerosene, electricity | 6.8 | 2.0% | — | -1.3% | |
| Core, base 2012Base retired, to Dec 2025, ex food, ex fuel: derived | 47.3 | 4.6% | — | 3.6% | |
| Headline, rural, base 2012Sector index: food weighs 54.18 here; no housing group | — | 0.8% | — | 5.8% | |
| Headline, urban, base 2012Sector index: housing weighs 21.67; food only 36.29 | — | 2.0% | — | 4.5% | |
| Vegetables, base 2012Sub-group, the headline's wild card | 6.0 | -18.5% | — | 26.6% | |
| Cereals & products, base 2012Sub-group, the staple floor | 9.7 | -0.4% | — | 6.5% | |
| Transport & communication, base 2012Sub-group, fares, fuel at the pump, phone bills | 8.6 | 0.8% | — | 2.6% | |
| CPI-ALAgricultural labourers, Labour Bureau, base 2019, to Aug 2026 | — | 5.2% | ▲ +0.5 pt, firming | 1.3% | |
| CPI-RLRural labourers, Labour Bureau, base 2019, to Aug 2026 | — | 4.8% | ▲ +0.5 pt, firming | 1.1% |
What is in the basket
Weights, per cent, CES 2011–12Three baskets on the 2011–12 Consumer Expenditure Survey weights: the only weights the API serves. The 2024 rebase publishes the headline and its twelve divisions but no component weights yet, so this basket cannot move to the new ruler. The structural story is the split itself: the rural basket has no housing group at all and loads fifty-four per cent onto food; the urban basket spends a fifth on housing and barely a third on food. One bad onion crop moves the village index far more than the town's.
What follows is the last complete picture on the old ruler. The food/fuel/core split, the twenty-one sub-groups and the state indices below exist only on the 2012 base, frozen at its final reading, December 2025: the new base has not published them. They migrate when the NSO releases the detail; until then the seam in §02 is the only place the two rulers meet.
Plate 1: the headline and its parts
y/y %, monthly, base 2012, to Dec 2025A decade of the cost of living, and the three currents beneath it
Each line answers one question: how much dearer is this part of the basket than twelve months ago? The blue line is their weighted average, so it must always live between its parts: food supplies the swings, core supplies the level, fuel supplies occasional noise.
The shaded band is law, not decoration. Since 2016 the RBI must explain itself to government whenever the headline spends three straight quarters outside 2–6%. Every excursion above the ceiling, 2019–20, 2022, mid-2023, triggered that letter. The 2025 prints pose the opposite question: three straight months below the floor.
Inflation fell through 2025: from 4.3% in January to 1.3% in December, with the last four prints below the 2% floor of the band, ground occupied only once before, in June 2017. The food line tells you why: the vegetables that drove the 2019 and 2023 spikes have been cheap for two consecutive winters.
Watch the wedge between core and headline. While the dashed line sits above the blue one, the average is being flattered by volatile items, and the flattery expires with the next bad monsoon.
What this measures
The Consumer Price Index tracks the cost of a fixed basket of goods and services, rice, rent, bus fares, haircuts, school fees, as an urban or rural household actually buys them. When we say "inflation is 1.3 per cent", we mean this basket costs 1.3 per cent more than it did a year ago.
The basket is not a guess. It comes from a massive survey of what households actually spent in 2011–12, and each item carries a weight proportional to its share of household budgets. Food weighs about 46 per cent; housing, 10; fuel, 7.
It is a Laspeyres index: the basket is fixed, so it measures pure price change. That fixedness is its strength and its blind spot: the number stays cleanly comparable, but slowly drifts from how India actually lives, until the base is revised.
The parts, one plate each
y/y %, monthly, base 2012, to Dec 2025Food & beverages: half the basket, all of the drama
The most violent line in the guide, and nearly half the basket. Spikes are usually weather, not policy: failed monsoons surface here three to six months late, and gluts push the line below zero, as in 2018–19 and again in late 2025. Negative food inflation is relief at the shop and distress on the farm, in the same figure.
At -1.9%, food inflation is more than nine points below its level of a year ago (7.7%): partly arithmetic: the autumn 2024 spike above 10% is now in the denominator, flattering the present. A base effect lasts twelve months: once the spike leaves the comparison, the gift is gone.
Fuel & light: loud, but says very little
Only loosely tied to crude: excise duty, LPG subsidy accounting and electricity tariffs dominate. A flat stretch means stable policy, not stable world prices. It moves the headline loudly and means little by itself: never infer the global energy market from this line.
Now 2.0%, after eighteen consecutive months underwater from September 2023 to February 2025. That deflation was LPG price cuts washing through the year-ago comparison: nobody's bill actually fell during it.
Core: the line the RBI actually watches
Core strips out weather and energy, the parts monetary policy cannot reach, leaving rents, health, education, transport services, gold: the demand side of the economy. It moves in long arcs, and its Indian floor is structural; the series has never sustainably visited 2%.
At 4.6%, core has climbed through 2025 while the headline collapsed around it. Whatever is cooling the blue line, it is not underlying demand. For rate-setters, this unremarkable line is the argument against declaring victory.
The rest of the old basket: housing, clothing, pan and the services block
Food and fuel get the headlines; these four groups were half the old basket by weight. Miscellaneous alone, at 28 per cent, held every service the household buys: doctors, school fees, bus fares, phone bills, haircuts, gold. Housing is rent, and the NSO repriced it only every six months, which is why its line moves in steps. These are the slow groups. They rarely make news, and they set the floor under the headline.
The old base closed in December with miscellaneous at 6.2%, housing at 2.9%, clothing at 1.4% and pan at 3.0%. Over the whole span the steadiest of the four was miscellaneous, and the most changeable pan, tobacco.
The sub-indices, a field guide
y/y %, 21 series, base 2012, to Dec 2025Twenty-one dials behind the six groups
The six groups are averages, and averages keep secrets. These are the dials beneath them: every sub-index the NSO publishes, one rule per panel: a grey line, ten years, the same shaded band. The band is the tell. Where it looks wide, the panel lives a calm life; where it thins to a sliver, the panel needed room for swings of thirty points and more.
Vegetables and pulses inhabit a different mountain range from education and health. A single shared axis would be honest about the first and silent about the second, so the grid uses two, and prints both. Compare shapes within a half; compare levels only through the numbers.
Thirteen of the twenty-one sub-indices ended 2025 outside the tolerance band: 10 below its floor, 3 above its ceiling. The deflation holding the headline down is concentrated where you would guess: vegetables at -18.5%, pulses at -15.1%.
The loudest dial is not food at all. Personal care & effects, the sub-index that carries gold, is running at 28.2%, the highest reading in the grid by a wide margin. And oils & fats, at 6.8%, show that not every food item joined the glut.
Coconut Oil grew dearest of the old basket: 4.8 times its 2012 price
| Item | Level, 2012=100 | Latest y/y | Jan 2015 to Dec 2025, y/y |
|---|---|---|---|
| Coconut Oil1 of 299 | 482.2 | 61.7% | |
| Gold2 of 299 | 433.9 | 68.7% | |
| Coconut (no.)3 of 299 | 374.8 | 28.3% | |
| Kerosene – PDS (litre)4 of 299 | 360.5 | -0.5% | |
| Silver5 of 299 | 359.8 | 98.9% | |
| Coconut: Copra6 of 299 | 357.7 | 59.3% | |
| Green Coconut (no.)7 of 299 | 342.1 | 12.5% | |
| Carpet, Daree & Other Floor Mattings8 of 299 | 323.3 | 8.3% | |
| Other Ornaments9 of 299 | 315.6 | 44.6% | |
| Others: Birds, Crab, Oyster, Tortoise, etc.10 of 299 | 303.1 | 2.7% | |
| Leechi11 of 299 | 298.1 | 30.6% | |
| Porter Charges12 of 299 | 297.3 | 5.2% | |
| Steamer, Boat Fare13 of 299 | 276.3 | 6.9% | |
| Ragi & its Products14 of 299 | 268.6 | 6.1% | |
| Cheroot (no.)15 of 299 | 266.4 | 8.1% | |
| ⋯ 269 items between 266.4 and 139.1: the full basket ships in the CSV ⋯ | |||
| Other Cooking/ Household Appliances285 of 299 | 139.1 | 0.9% | |
| CD, DVD, Audio/video Cassette, etc286 of 299 | 139.0 | -0.3% | |
| Lemon (no.)287 of 299 | 137.4 | -17.6% | |
| Apple288 of 299 | 134.5 | -0.4% | |
| Sugar - Other Sources289 of 299 | 131.5 | 4.9% | |
| Mobile Handset290 of 299 | 127.0 | -0.8% | |
| Camera & Photographic Equipment291 of 299 | 125.3 | 0.0% | |
| Lighter (bidi/ Cigarette/ Gas Stove)292 of 299 | 121.8 | -0.3% | |
| Telephone Charges: Landline*293 of 299 | 121.5 | 2.1% | |
| Mineral Water (litre)294 of 299 | 117.3 | -1.7% | |
| VCR/VCD/DVD Player295 of 299 | 112.1 | -15.2% | |
| Horse Cart Fare296 of 299 | 110.1 | 0.0% | |
| Wheat/ Atta – PDS297 of 299 | 101.8 | 0.0% | |
| Library Charges298 of 299 | 100.0 | 0.0% | |
| Rice – PDS299 of 299 | 81.3 | 0.0% | |
Year-on-year inflation is a short memory. This ledger is the long one: each item's index in the old base's last month, against the 2012 average fixed at 100. An item at 250 cost two and a half times its 2012 price; one at 90 got cheaper. The spread is the decade's real story of who paid more for what.
By December the dearest-grown item was coconut oil at 482.2; at the other end rice – pds stood at 81.3. The median item stood at 192.2, and only one item was cheaper than in 2012.
One index, two Indias: rural and urban
y/y %, monthly, base 2012, to Dec 2025The village and the town pay different prices
The combined index is not a third survey; it is these two weighted together. But the baskets are built from different lives. Food weighs 54.18 in the rural basket against 36.29 in the urban one, and housing, 21.67 of the urban index, does not exist in the rural index at all, because there is no rent market to survey in most villages.
The consequence is mechanical. When food is dear, the village line rides above the town line; when food is cheap, it dives below. The wedge between the two is mostly the food wedge, amplified by eighteen points of extra weight.
December closed with rural inflation at 0.8% and urban at 2.0%: a gap of 1.2 points. A year earlier the ordering was reversed: 5.8% rural against 4.5% urban. Nothing about either economy flipped. Food did: rural food is at -2.3%, urban food at -1.1%, and the heavier rural food weight turns the same glut into a bigger discount.
Strip food and fuel out and the ordering flips back: rural core runs at 5.2%, urban core at 4.2%. The village's calm is entirely a food story, and food stories end.
The spread across states
y/y %, two bases, published General indexOne month, thirty-six readings: on the new ruler
The rebase reached the states with the national index: every state's General index restarts at a 2024 average of 100, and each month from January 2026 adds one same-base reading. This strip reads exactly like the retired one below it, the ends carry the news, the middle is a crowd, but the two cannot be compared number for number. A state printing low on the old ruler in December and high on the new one in June did not surge; the measure changed, and six months passed, in unknown proportion.
The count also changed. The old scheme published thirty-five state indices; the new base serves thirty-six: Arunachal Pradesh and Ladakh appear as their own series for the first time, and the merged Dadra & Nagar Haveli and Daman & Diu, two rows on the old ruler, is now one.
The highest reading is Telangana, 6.3%; the lowest is Mizoram, 2.4%. The spread between them is 3.9 points, in a month when the national rate was 4.8%. Two of the thirty-six sit above the band's ceiling; none sit below its floor; none print below zero.
Set against December's strip below, where deflation reached from the east to a Kerala print above nine, the new ruler's field is tighter. How much of that narrowing is the fresh basket and how much is the eight months between the two strips, we do not know; the strips are shown apart so no one has to pretend to.
Personal care, social protection and miscellaneous goods and services: where states differ most
| State | General | Food | Paan, tobacco | Clothing | Housing, fuel | Furnishing | Health | Transport | Info, comms | Recreation | Education | Restaurants | Personal care |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Telangana | 6.3 | 6.9 | 5.0 | 3.3 | 3.1 | 2.8 | 2.0 | 5.6 | 0.8 | -0.5 | 5.8 | 10.7 | 27.9 |
| Dadra, Nagar Haveli, Daman and Diu | 6.2 | 7.7 | 2.5 | 3.1 | 6.0 | 3.8 | 2.8 | 3.4 | 2.7 | -0.7 | 1.1 | 10.8 | 14.0 |
| Puducherry | 5.9 | 8.3 | 8.3 | 1.7 | 4.2 | 2.2 | 2.7 | 5.0 | 1.6 | 3.9 | 9.3 | 7.8 | 8.4 |
| Tamil Nadu | 5.9 | 7.5 | 4.4 | 2.8 | 3.2 | 3.1 | 1.3 | 4.3 | 2.0 | 1.8 | 6.2 | 9.2 | 19.2 |
| Andhra Pradesh | 5.5 | 7.5 | 4.5 | 2.1 | 2.5 | 1.7 | 1.3 | 4.0 | 1.4 | 2.3 | 7.3 | 6.4 | 19.7 |
| Madhya Pradesh | 5.5 | 5.4 | 3.5 | 5.5 | 5.8 | 3.5 | 1.7 | 5.8 | 2.3 | 3.7 | 3.8 | 7.9 | 16.7 |
| Odisha | 5.5 | 6.4 | 4.4 | 4.3 | 5.0 | 1.9 | 2.3 | 5.8 | 2.7 | 4.3 | 0.9 | 7.8 | 12.1 |
| Ladakh | 5.3 | 3.8 | 38.1 | 4.1 | 2.5 | 4.3 | 0.7 | 8.1 | 2.5 | 2.4 | 12.5 | 0.7 | 4.9 |
| Karnataka | 5.2 | 7.2 | 2.9 | 3.6 | 2.6 | 3.0 | 1.0 | 5.1 | 2.9 | 1.6 | 1.1 | 7.5 | 16.4 |
| Rajasthan | 5.2 | 5.3 | 5.3 | 3.8 | 2.2 | 3.8 | 1.5 | 4.0 | 4.6 | 0.4 | 2.9 | 12.4 | 20.6 |
| Uttar Pradesh | 5.1 | 5.6 | 5.6 | 4.1 | 2.7 | 2.0 | 1.1 | 4.7 | 1.9 | 1.2 | 2.9 | 9.8 | 18.4 |
| Gujarat | 5.0 | 6.5 | 3.1 | 4.1 | 2.4 | 3.3 | 1.7 | 5.5 | 1.7 | 1.3 | 4.5 | 6.6 | 11.4 |
| Assam | 4.8 | 6.6 | 4.9 | 2.3 | 3.2 | 2.1 | 1.8 | 4.2 | 2.1 | 1.8 | 1.5 | 4.3 | 6.2 |
| Maharashtra | 4.8 | 7.7 | 3.9 | 3.4 | 1.6 | 2.9 | 0.8 | 5.2 | 1.8 | 3.3 | 3.8 | 8.9 | 10.7 |
| Kerala | 4.7 | 6.5 | 4.6 | 1.1 | 2.4 | 2.3 | 1.4 | 2.8 | 1.9 | 3.0 | 4.3 | 10.3 | 17.2 |
| Uttarakhand | 4.7 | 5.6 | 4.7 | 3.7 | 1.5 | 2.4 | 2.4 | 4.9 | 0.6 | 3.0 | 2.1 | 11.4 | 13.5 |
| Sikkim | 4.6 | 4.7 | 5.0 | 6.2 | 2.9 | 5.1 | 1.0 | 3.4 | 0.9 | 2.1 | 9.9 | 2.4 | 11.9 |
| Manipur | 4.5 | 5.0 | 14.5 | 1.2 | 4.0 | 2.1 | 0.4 | 3.9 | 1.8 | 0.9 | 1.9 | -0.3 | 6.8 |
| Punjab | 4.5 | 6.1 | 6.9 | 4.0 | 1.7 | 2.9 | 1.3 | 6.0 | 1.0 | 1.8 | 3.4 | 7.8 | 6.3 |
| Bihar | 4.2 | 4.1 | 3.9 | 3.6 | 3.3 | 2.6 | 2.1 | 4.7 | 1.8 | 1.5 | 1.7 | 8.0 | 13.3 |
| Jammu and Kashmir | 4.1 | 4.7 | 11.2 | 2.6 | 2.6 | 3.5 | 0.6 | 5.5 | 2.5 | 2.6 | 2.9 | 5.3 | 11.1 |
| Chandigarh | 4.0 | 4.2 | 8.8 | 1.1 | 2.1 | 2.6 | 1.4 | 5.0 | 2.9 | 1.2 | 2.6 | 12.5 | 12.7 |
| Haryana | 3.9 | 3.7 | 3.9 | 4.2 | 2.5 | 2.5 | 2.0 | 4.7 | 2.1 | 0.0 | 3.9 | 10.1 | 14.3 |
| Andaman and Nicobar Islands | 3.8 | 2.7 | 2.0 | 0.9 | 3.3 | 1.5 | 2.5 | 3.6 | 0.1 | 1.9 | 1.8 | 8.9 | 18.0 |
| Chhattisgarh | 3.8 | 3.8 | 1.4 | 3.5 | 3.3 | 1.6 | 0.7 | 5.9 | 1.1 | 0.4 | 2.0 | 7.8 | 10.1 |
| Himachal Pradesh | 3.8 | 3.6 | 5.7 | 2.4 | 2.5 | 2.4 | 1.0 | 3.4 | 2.2 | 1.2 | 1.9 | 8.2 | 16.3 |
| Goa | 3.6 | 4.8 | -3.7 | 0.3 | 3.6 | 0.8 | -0.6 | 5.4 | 1.1 | 2.9 | 1.7 | 4.3 | 3.2 |
| Tripura | 3.5 | 5.7 | 3.6 | 2.6 | 1.8 | 0.7 | 0.9 | 2.9 | 2.6 | 2.9 | 0.5 | -0.3 | 4.2 |
| West Bengal | 3.3 | 3.2 | 7.3 | 4.2 | 2.8 | 2.9 | 0.8 | 3.3 | 1.9 | 1.6 | 1.6 | 6.4 | 6.8 |
| Arunachal Pradesh | 3.1 | 2.9 | 6.0 | 0.5 | 3.3 | 1.3 | 0.5 | 4.0 | 1.9 | 1.0 | 10.6 | 1.6 | 5.9 |
| Jharkhand | 3.1 | 1.6 | 8.4 | 4.6 | 1.6 | 3.4 | 1.9 | 4.5 | 2.7 | 0.8 | 4.3 | 6.3 | 12.4 |
| Lakshadweep | 3.1 | 0.1 | 4.9 | 0.6 | 4.0 | 0.9 | 1.6 | 6.3 | 2.3 | -2.7 | 2.6 | 4.6 | 23.8 |
| Nagaland | 2.9 | 2.6 | 13.9 | -0.4 | 4.0 | 0.5 | 3.3 | 3.8 | 1.9 | 1.2 | 4.6 | 4.3 | 1.0 |
| Meghalaya | 2.8 | 2.9 | 4.8 | 5.0 | 1.7 | 1.7 | 2.1 | 0.6 | 2.1 | 1.9 | 5.2 | 2.3 | 2.1 |
| NCT of Delhi | 2.6 | 2.3 | 2.6 | 0.3 | 1.6 | 1.2 | -0.2 | 1.8 | 1.1 | 1.0 | 10.4 | 5.4 | 11.4 |
| Mizoram | 2.4 | 2.2 | 3.3 | 3.6 | 2.3 | 1.7 | 1.4 | 4.4 | 1.7 | 0.8 | 4.3 | 0.3 | 0.9 |
The national number is an average of thirty-six. This table opens it the other way: one row per state, one column per part of the household budget. Read along a row to see what drives prices where you live; read down a column to see whether, say, health costs are rising everywhere or only in a few places. A deeper tint means faster price rises; grey marks prices that fell over the year.
Each state has its own basket, so a cell compares a state with its own past, not with another state. The rural and urban versions of this table, and the forty-three groups by state, are in the data downloads and the every-cut table.
Ranked by how far apart the middle half of states sit, the division that differs most from state to state is personal care, social protection and miscellaneous goods and services: its middle half runs 6.8% to 16.4%, and its extremes are Telangana, 27.9% and Mizoram, 0.9%. The division states agree on most is information and communication, its middle half within 0.7 points. Nine of the 432 state-division cells show prices lower than a year earlier.
One month, thirty-five readings: the old ruler's last
The tolerance band is an all-India law; no state is bound by it. Each state index prices its own basket, more fish in Kerala, more wheat in Punjab, so what is shown is the published General index of each state, not a recomputation. Dispersion is the normal condition. A single national rate is always an average of genuinely different price experiences.
Read the ends, not the middle. The middle of this strip is crowded and interchangeable; the outliers are where something specific, a crop, a tariff, a supply line, is happening.
The highest reading is Kerala, 9.5%; the lowest is Manipur, -4.2%. The spread between them is 13.7 points: in a month when the national rate was 1.3%. Deflation is not a statistical curiosity here: 9 states printed below zero.
Twenty-four of the thirty-five sit below the 2% floor, and only 2 sit above the ceiling. The all-India number is not a typical state experience so much as a midpoint between deflation in the east and a Kerala print above nine.
Where the village and the town disagree most
The other CPI: agricultural labourers
y/y %, Labour Bureau, two bases, never splicedTwo rural populations, two inflation rates
Both lines are rural, but they describe different people. The grey line is the rural half of the national CPI: every rural household, weighted by how it spends. The blue line is the agricultural labourer alone: a poorer household, whose basket the Labour Bureau weights far more heavily toward food, and whose index reprices the floor wages that MGNREGA and state rate-cards pay.
Because food dominates the labourer's basket, the blue line is the more violent one: it rises faster in a bad monsoon and falls further in a glut. Over the decade they part by 1.4 pt on average, and by as much as 4.2 pt, Aug 2019 in a single month.
At the old AL base's final reading the labourer's index stood at 2.8% against CPI-rural's 2.6%: unusually close. The two populations live in the same villages but in different baskets, and the gap between them blows wide whenever a food spike hits the labourer's heavier weighting first. The index that sets the farm wage tracks the broader village's: until the harvest breaks.
The index that sets the farm wage
The national CPI describes an average household. This one describes a specific and poorer one: the agricultural labourer, whose index the Labour Bureau has compiled to reprice rural minimum wages: MGNREGA rates and state wage floors move with it. Its basket is far heavier in food than the national CPI's, so it answers to the harvest before anything else.
The base year stood at 1986-87 for nearly four decades, the longest-serving ruler in Indian statistics, until the 2019=100 series took over from June 2025. The old and new series price different baskets, from different surveys of a different countryside. They are shown side by side, and the seam is drawn, not smoothed.
The old ruler retired at 2.8% in May 2025; fifteen months into the new series, the reading is 5.2%. Farm-labour inflation has firmed through the new base's first year, while the national index on the 2012 base fell below its 2% floor in late 2025.
The old series' peak: 17.6% in January 2010, in the wake of a failed monsoon: is what a food-heavy basket does when the harvest goes wrong. That exposure has not gone anywhere; only the ruler is new.
Two labourers, rarely apart
Two indices, one countryside. The rural labourers' basket contains the agricultural labourers' almost entirely, so the lines move together and part by fractions of a point. The gap, small as it is, is still information: AL above RL means the pressure sits in the farm household's own basket rather than the village's.
AL at 5.2%, RL at 4.8%: a gap of 0.4 points, with AL on top for most of the new base's first year. Both have climbed steadily from their low in late 2025. Set beside the national CPI's rural reading of 0.8% in December, the labourers' indices describe a different year: different basket, later months, and no band to answer to.
What the labourer's rupee buys
Food dominates this basket, so the food line is close to being the index; the other four groups are the supporting cast. Watch fuel & light separately: firewood and kerosene, not LPG cylinders, set its rhythm here, and it answers to a different market than the urban fuel bill.
Food leads at 6.4%, then fuel & light at 4.8%; clothing (3.4%) and miscellaneous (2.8%) trail. Note the inversion: the national CPI's food group was in deflation, at -1.9%, when the 2012 base closed in December 2025, while the labourer's food group was still firming eight months later. Different basket, different shops, different answer.
Where the farm worker's rupee stretched: twenty states
One countryside, many inflations. Each state's agricultural-labour index prices its own harvest, more rice in the south and east, more wheat in the north, so the spread is genuine, not noise. There is no RBI band here: the tolerance law binds the all-India CPI, not the farm labourer's basket.
Fourteen of the twenty states sat above the All-India CPI-AL. The spread runs from Tripura, 7.7% down to Andhra Pradesh, -0.8%: 8.5 points end to end. This is the old ruler's last word on its twenty states; the next plate reads thirty-four on the new base.
The farm and rural labourer, state by state, on the new base
The new base covers thirty-four states and union territories, against twenty on the old one, and prices two households in each: the agricultural labourer and the wider rural labourer, who might be a mason, a weaver or a cart-puller. The two dots in a row are the same village markets read with two baskets. Where they sit apart, the farm worker's heavier food share is pulling one way.
The farm labourer's index rose fastest in Tripura, 10.9% and slowest in Arunachal Pradesh, 0.5%. In 19 of the 33 states the agricultural labourer's inflation ran above the rural labourer's.
The worker's prices, and the worker's wage
CPI-IW (Labour Bureau, four bases) and rural daily wagesThe factory worker's index, on four rulers
This is the oldest continuous price index India keeps for a group of people, and the one with the most money riding on it. The dearness allowance of every central government employee and pensioner is set from it twice a year, and so are wages in many factories, mines and plantations. A point on this index is rupees in a few crore pay packets.
The household it describes is a worker in one of the Bureau's industrial centres: a mill town, a mining belt, a port, a tea garden. The basket was redrawn four times, in 1960, 1982, 2001 and 2016, each from a fresh survey of what such families buy. Each colour is one basket. Where one ends and the next begins there is a fine rule, not a join: the Bureau publishes a linking factor to carry wages across, but a growth rate from one basket to the next would compare two different shopping lists.
On the 2016 basket the worker's index rose 5.0% in the year to August, against 3.2% a year earlier. The current basket's high so far is 7.5% in July 2023; the whole record's high is 34.7% in September 1974, on the 1960 basket. Dearness allowance is revised twice a year from this index, so a high reading here reaches pay packets within months.
What the factory worker's rupee buys
Six groups, as in the retired national CPI, and the same lesson: food moves the index. The group to watch here is housing. The Bureau prices rents in the industrial centres twice a year, so the housing line climbs in steps rather than drifting, and a step in January or July can move the whole index in a month when food is quiet.
In August the fastest group was Food, 6.3% and the slowest Clothing, 3.6%. Food stood at 6.3%, against 1.4% a year earlier: food has gathered pace over the year.
Eighty-eight towns, one index
Each dot is a town where the Bureau sends price collectors to the markets an industrial worker uses. The centres are chosen for their factories and mines, not to cover a state, so read them as places: Jamshedpur, Coimbatore, Kolkata. Dearness allowance is paid on the All-India figure, so a worker in a centre well above the All India rule is falling behind on an allowance that averages the country.
The spread runs from Coimbatore (Tamil Nadu), 11.5% to Sibsagar (Assam), -0.9%: 12.4 points end to end. Forty-three of 88 centres ran above the All-India rate of 5.0%, and 2 saw prices fall over the year.
Did the farm wage keep up with farm prices?
A price index only tells half the story for a wage earner. The other half is the wage. The Labour Bureau collects both for rural India: what a day's work pays in each occupation, and what the farm labourer's household pays for its basket. When the blue line runs above the gold one, a day's wage bought a little more than it did a year before; below it, a little less.
The wage is the average man's daily wage across the Bureau's sample villages, for the general agricultural labourer: watering, weeding, the work anyone can be hired for. It is not what any one worker earns, and it says nothing about how many days of work there were.
A day of general farm labour paid ₹414 in April 2025, up from ₹225 in November 2013. Over the 118 months both series cover, the wage grew faster than farm prices in 87; on average, wage growth ran 1.0 points above farm-price inflation. That is a slow gain in what a day's work buys, and it says nothing about the number of days.
A day's farm wage, state by state
The same day's work, priced in twenty states. These are rupees, not an index, so states can be compared directly, with one caution: a rupee buys more rice in some states than others, and this chart does not adjust for that. The other 24 occupations, from ploughing to plumbing, are in the data downloads and the every-cut table below.
The wage runs from Kerala, ₹880 down to Madhya Pradesh, ₹266: the best-paid state pays 3.3 times the lowest for the same work. The All-India figure is ₹414.
How to misread this number
- i.
"Inflation fell, so prices fell."
No. Falling inflation means prices are rising more slowly: disinflation. At 2%, the basket still costs 2% more than a year ago. Only a negative print means falling prices, and that happens to single items and groups (vegetables, pulses) far more often than to the whole basket.
- ii.
"My inflation is the national inflation."
Your basket is not the average basket. The weights are a snapshot of average spending in a survey year; they describe nobody precisely. A family spending 60 per cent on food lives in a different index, and so does a family in a different state: the state table in §11 shows the same month reading very differently from one state to the next.
- iii.
"One month tells a story."
Vegetables can move the headline by a full point in a single month and reverse the next. Month-to-month moves are mostly seasonal noise; three consecutive months is the minimum unit of meaning, and twelve is better.
- iv.
"The base doesn't matter."
Every y/y figure is a ratio to the same month a year ago. A spike then flatters now; a collapse then haunts now. Before reacting to any print, ask what the denominator was doing.
- v.
"Core is the real inflation."
Core excludes what poor households spend most on. It is watched because it is stable and policy-responsive, not because it is truer. For the cost of living as lived, the headline is the honest number.
- vi.
"CPI and WPI contradict each other."
They survey different terrain: retail consumers versus the factory gate, with different baskets and different fuels. Divergence of five points is normal. Both are correct; show them as separate series, never as a conflict to resolve.
- vii.
"Dearness allowance follows the CPI."
It follows a different CPI. Central government dearness allowance is set from the CPI for industrial workers (§13), a Labour Bureau index of a factory worker's basket in 88 towns, averaged over twelve months. It can run a point or more away from the national CPI in either direction, and it rebases on its own timetable.
- viii.
"Rural wages rose 7%, so labourers are 7% better off."
Only if prices stood still. A wage rise is a gain only above the labourer's own inflation, and that is CPI-AL, not the national CPI. Even then the daily rate says nothing about how many days of work there were in the month, which is where rural incomes most often fall.
Every series, every cut
All 13,712 series behind this guide, from 66 files, at every level the source publishes them, including the ones no chart above draws. Find a state, an item or a sector, sort by the latest value or by the change on a year earlier, and download any file whole. A dash means no published figure for that cut, no figure for a year earlier, or a change that would mean nothing. Where a source explicitly leaves a survey cut unpublished, its known period and reason stay visible.
- 1,334 series: Base 2024, rural and urban: groups, classes, sub-classes and items 10 files, filterable by file. Sortable and searchable.
- 5,355 series: Base 2024, every state by division and by group, combined, rural and urban 5 files, over 2 pages, filterable by file. Sortable and searchable.
- 1,885 series: Base 2012, every state by group and by sub-group, combined, rural and urban 6 files, filterable by file. Sortable and searchable.
- 1,991 series: Base 2012, every state, 2012 to 2015 (2012 and 2013 on the NSO back series) One file. Sortable and searchable.
- 156 series: CPI for industrial workers, by centre, three bases 2 files, filterable by file. Sortable and searchable.
- 718 series: Rural daily wages, every state by occupation, two occupation lists 2 files, filterable by file. Sortable and searchable.
- 270 series: CPI-AL and CPI-RL, every state by group, two bases 2 files, filterable by file. Sortable and searchable.
- 358 series: All India, Combined; all 358 items of the 2024 basket, base 2024=100 Item, in 12 groups. Sortable and searchable.
- 162 series: All India, Combined; the 162 sub-classes of the 2024 basket, base 2024=100 Sub-class, in 12 groups. Sortable and searchable.
- 432 series: States/UTs x divisions, Combined; published indices (state baskets differ, no all-India weights applied), base 2024=100 State and division, in 36 groups. Sortable and searchable.
- 299 series: All India, Combined; the 299 items of the 2012 basket (served from January 2014, so y/y from January 2015), base 2012=100 Item. Sortable and searchable.
- 195 series: The remaining files 6 files, filterable by file. Sortable and searchable.
| Trend | Data | ||||
|---|---|---|---|---|---|
| Headline, base 2024Year-on-year, base 2024=100 | Division | 4.8%Aug 2026 | — | Series data | |
| Food and beveragesYear-on-year, base 2024=100 | Division | 5.7%Aug 2026 | — | Series data | |
| Paan, tobacco and intoxicantsYear-on-year, base 2024=100 | Division | 4.7%Aug 2026 | — | Series data | |
| Clothing and footwearYear-on-year, base 2024=100 | Division | 3.6%Aug 2026 | — | Series data | |
| Housing, water, electricity, gas and other fuelsYear-on-year, base 2024=100 | Division | 2.6%Aug 2026 | — | Series data | |
| Furnishings, household equipment and routine household maintenanceYear-on-year, base 2024=100 | Division | 2.7%Aug 2026 | — | Series data | |
| HealthYear-on-year, base 2024=100 | Division | 1.3%Aug 2026 | — | Series data | |
| TransportYear-on-year, base 2024=100 | Division | 4.6%Aug 2026 | — | Series data | |
| Information and communicationYear-on-year, base 2024=100 | Division | 2.0%Aug 2026 | — | Series data | |
| Recreation, sport and cultureYear-on-year, base 2024=100 | Division | 1.7%Aug 2026 | — | Series data | |
| Education servicesYear-on-year, base 2024=100 | Division | 3.7%Aug 2026 | — | Series data | |
| Restaurants and accommodation servicesYear-on-year, base 2024=100 | Division | 8.4%Aug 2026 | — | Series data | |
| Personal care, social protection and miscellaneous goods and servicesYear-on-year, base 2024=100 | Division | 15.2%Aug 2026 | — | Series data | |
| HeadlineYear-on-year, base 2012=100 | All India | 1.3%Dec 2025 | −3.9 pt | Series data | |
| FoodYear-on-year, base 2012=100 | All India | −1.9%Dec 2025 | −9.5 pt | Series data | |
| FuelYear-on-year, base 2012=100 | All India | 2.0%Dec 2025 | +3.3 pt | Series data | |
| CoreYear-on-year, base 2012=100 | All India | 4.6%Dec 2025 | +1.0 pt | Series data | |
| HeadlineYear-on-year, base 2012=100 | Rural | 0.8%Dec 2025 | −5.0 pt | Series data | |
| FoodYear-on-year, base 2012=100 | Rural | −2.3%Dec 2025 | −10.3 pt | Series data | |
| FuelYear-on-year, base 2012=100 | Rural | 1.5%Dec 2025 | +2.0 pt | Series data | |
| CoreYear-on-year, base 2012=100 | Rural | 5.2%Dec 2025 | +1.4 pt | Series data | |
| HeadlineYear-on-year, base 2012=100 | Urban | 2.0%Dec 2025 | −2.5 pt | Series data | |
| FoodYear-on-year, base 2012=100 | Urban | −1.1%Dec 2025 | −8.3 pt | Series data | |
| FuelYear-on-year, base 2012=100 | Urban | 2.8%Dec 2025 | +5.6 pt | Series data | |
| CoreYear-on-year, base 2012=100 | Urban | 4.2%Dec 2025 | +0.8 pt | Series data | |
| Cereals and ProductsYear-on-year, base 2012=100 | Sub-group | −0.3%Dec 2025 | −6.9 pt | Series data | |
| Meat and FishYear-on-year, base 2012=100 | Sub-group | 5.1%Dec 2025 | −0.2 pt | Series data | |
| EggYear-on-year, base 2012=100 | Sub-group | 4.8%Dec 2025 | −2.0 pt | Series data | |
| Milk and ProductsYear-on-year, base 2012=100 | Sub-group | 2.6%Dec 2025 | −0.2 pt | Series data | |
| Oils and FatsYear-on-year, base 2012=100 | Sub-group | 6.8%Dec 2025 | −7.8 pt | Series data | |
| FruitsYear-on-year, base 2012=100 | Sub-group | 6.7%Dec 2025 | −1.9 pt | Series data | |
| VegetablesYear-on-year, base 2012=100 | Sub-group | −18.5%Dec 2025 | −45.0 pt | Series data | |
| Pulses and ProductsYear-on-year, base 2012=100 | Sub-group | −15.1%Dec 2025 | −18.9 pt | Series data | |
| Sugar and ConfectioneryYear-on-year, base 2012=100 | Sub-group | 4.7%Dec 2025 | +4.4 pt | Series data | |
| SpicesYear-on-year, base 2012=100 | Sub-group | −2.1%Dec 2025 | +5.3 pt | Series data | |
| Prepared Meals, Snacks, Sweets etc.Year-on-year, base 2012=100 | Sub-group | 3.5%Dec 2025 | −0.5 pt | Series data | |
| Non-alcoholic BeveragesYear-on-year, base 2012=100 | Sub-group | 2.5%Dec 2025 | −0.5 pt | Series data | |
| ClothingYear-on-year, base 2012=100 | Sub-group | 1.7%Dec 2025 | −1.2 pt | Series data | |
| FootwearYear-on-year, base 2012=100 | Sub-group | −0.4%Dec 2025 | −2.5 pt | Series data | |
| Household Goods and ServicesYear-on-year, base 2012=100 | Sub-group | 1.9%Dec 2025 | −0.9 pt | Series data | |
| HealthYear-on-year, base 2012=100 | Sub-group | 3.4%Dec 2025 | −0.6 pt | Series data | |
| Transport and CommunicationYear-on-year, base 2012=100 | Sub-group | 0.8%Dec 2025 | −1.8 pt | Series data | |
| Recreation and AmusementYear-on-year, base 2012=100 | Sub-group | 1.2%Dec 2025 | −1.5 pt | Series data | |
| EducationYear-on-year, base 2012=100 | Sub-group | 3.4%Dec 2025 | −0.6 pt | Series data | |
| Personal Care and EffectsYear-on-year, base 2012=100 | Sub-group | 28.2%Dec 2025 | +18.4 pt | Series data | |
| Consumer Food Price-OverallYear-on-year, base 2012=100 | Sub-group | −2.7%Dec 2025 | −11.1 pt | Series data | |
| Andaman nicobar islandsYear-on-year, base 2012=100 | State | 0.7%Dec 2025 | −2.6 pt | Series data | |
| Andhra pradeshYear-on-year, base 2012=100 | State | 2.7%Dec 2025 | −1.6 pt | Series data | |
| AssamYear-on-year, base 2012=100 | State | −1.2%Dec 2025 | −6.7 pt | Series data | |
| BiharYear-on-year, base 2012=100 | State | −1.4%Dec 2025 | −8.7 pt | Series data | |
| ChandigarhYear-on-year, base 2012=100 | State | 0.6%Dec 2025 | −5.6 pt | Series data | |
| ChhattisgarhYear-on-year, base 2012=100 | State | 0.3%Dec 2025 | −7.3 pt | Series data | |
| Dadra nagar haveliYear-on-year, base 2012=100 | State | 0.2%Dec 2025 | −5.5 pt | Series data | |
| Daman diuYear-on-year, base 2012=100 | State | 2.1%Dec 2025 | −4.9 pt | Series data | |
| DelhiYear-on-year, base 2012=100 | State | 1.2%Dec 2025 | −1.3 pt | Series data | |
| GoaYear-on-year, base 2012=100 | State | 3.6%Dec 2025 | −0.8 pt | Series data | |
| GujaratYear-on-year, base 2012=100 | State | 1.3%Dec 2025 | −3.6 pt | Series data | |
| HaryanaYear-on-year, base 2012=100 | State | −0.1%Dec 2025 | −6.1 pt | Series data | |
| Himachal pradeshYear-on-year, base 2012=100 | State | 1.1%Dec 2025 | −3.9 pt | Series data | |
| Jammu kashmirYear-on-year, base 2012=100 | State | 2.3%Dec 2025 | −3.1 pt | Series data | |
| JharkhandYear-on-year, base 2012=100 | State | 1.1%Dec 2025 | −3.4 pt | Series data | |
| KarnatakaYear-on-year, base 2012=100 | State | 3.0%Dec 2025 | −2.1 pt | Series data | |
| KeralaYear-on-year, base 2012=100 | State | 9.5%Dec 2025 | +3.1 pt | Series data | |
| LakshadweepYear-on-year, base 2012=100 | State | 7.0%Dec 2025 | +1.8 pt | Series data | |
| Madhya pradeshYear-on-year, base 2012=100 | State | −0.3%Dec 2025 | −6.0 pt | Series data | |
| MaharashtraYear-on-year, base 2012=100 | State | 1.6%Dec 2025 | −2.6 pt | Series data | |
| ManipurYear-on-year, base 2012=100 | State | −4.2%Dec 2025 | −13.6 pt | Series data | |
| MeghalayaYear-on-year, base 2012=100 | State | −0.3%Dec 2025 | −5.0 pt | Series data | |
| MizoramYear-on-year, base 2012=100 | State | 2.1%Dec 2025 | −2.0 pt | Series data | |
| NagalandYear-on-year, base 2012=100 | State | 2.5%Dec 2025 | −3.0 pt | Series data | |
| OdishaYear-on-year, base 2012=100 | State | −1.0%Dec 2025 | −8.0 pt | Series data | |
| PuducherryYear-on-year, base 2012=100 | State | 2.5%Dec 2025 | −3.2 pt | Series data | |
| PunjabYear-on-year, base 2012=100 | State | 1.8%Dec 2025 | −3.2 pt | Series data | |
| RajasthanYear-on-year, base 2012=100 | State | 0.3%Dec 2025 | −4.1 pt | Series data | |
| SikkimYear-on-year, base 2012=100 | State | 1.0%Dec 2025 | −2.6 pt | Series data | |
| Tamil naduYear-on-year, base 2012=100 | State | 2.6%Dec 2025 | −2.6 pt | Series data | |
| TelanganaYear-on-year, base 2012=100 | State | 1.8%Dec 2025 | −1.4 pt | Series data | |
| TripuraYear-on-year, base 2012=100 | State | −0.8%Dec 2025 | −5.9 pt | Series data | |
| Uttar pradeshYear-on-year, base 2012=100 | State | −0.7%Dec 2025 | −6.9 pt | Series data | |
| UttarakhandYear-on-year, base 2012=100 | State | 0.7%Dec 2025 | −5.4 pt | Series data | |
| West bengalYear-on-year, base 2012=100 | State | 1.1%Dec 2025 | −3.7 pt | Series data | |
| Andaman nicobar islands, ruralYear-on-year, base 2012=100 | State and sector | −0.2%Dec 2025 | −3.3 pt | Series data | |
| Andhra pradesh, ruralYear-on-year, base 2012=100 | State and sector | 2.7%Dec 2025 | −1.8 pt | Series data | |
| Arunachal pradesh, ruralYear-on-year, base 2012=100 | State and sector | 1.9%Dec 2025 | −3.3 pt | Series data | |
| Assam, ruralYear-on-year, base 2012=100 | State and sector | −1.6%Dec 2025 | −7.2 pt | Series data | |
| Bihar, ruralYear-on-year, base 2012=100 | State and sector | −1.5%Dec 2025 | −8.8 pt | Series data | |
| Chandigarh, ruralYear-on-year, base 2012=100 | State and sector | −0.3%Dec 2025 | −7.4 pt | Series data | |
| Chhattisgarh, ruralYear-on-year, base 2012=100 | State and sector | 0.0%Dec 2025 | −8.6 pt | Series data | |
| Dadra nagar haveli, ruralYear-on-year, base 2012=100 | State and sector | −2.3%Dec 2025 | −8.9 pt | Series data | |
| Daman diu, ruralYear-on-year, base 2012=100 | State and sector | 2.0%Dec 2025 | −6.1 pt | Series data | |
| Delhi, ruralYear-on-year, base 2012=100 | State and sector | −0.5%Dec 2025 | −4.4 pt | Series data | |
| Goa, ruralYear-on-year, base 2012=100 | State and sector | 6.4%Dec 2025 | +1.8 pt | Series data | |
| Gujarat, ruralYear-on-year, base 2012=100 | State and sector | 1.1%Dec 2025 | −3.8 pt | Series data | |
| Haryana, ruralYear-on-year, base 2012=100 | State and sector | −0.8%Dec 2025 | −7.8 pt | Series data | |
| Himachal pradesh, ruralYear-on-year, base 2012=100 | State and sector | 1.3%Dec 2025 | −3.7 pt | Series data | |
| Jammu kashmir, ruralYear-on-year, base 2012=100 | State and sector | 2.5%Dec 2025 | −3.6 pt | Series data | |
| Jharkhand, ruralYear-on-year, base 2012=100 | State and sector | 0.1%Dec 2025 | −4.1 pt | Series data | |
| Karnataka, ruralYear-on-year, base 2012=100 | State and sector | 2.9%Dec 2025 | −2.4 pt | Series data | |
| Kerala, ruralYear-on-year, base 2012=100 | State and sector | 10.8%Dec 2025 | +3.8 pt | Series data | |
| Lakshadweep, ruralYear-on-year, base 2012=100 | State and sector | 4.3%Dec 2025 | +1.3 pt | Series data |
No series match. Clear the search to see them all.
Data and downloads
Every series this guide draws on: 66 files, 13,712 series. Each downloads as published, as JSON or as a table (CSV). Missing values are left empty, never zero. Large families of source tables are one row each; their files download from the family's own page.
| Data | Base | Coverage | Series | Vintage | Download |
|---|---|---|---|---|---|
| All India, Combined; CPI General + the 12 COICOP-2018-style divisionsMoSPI, National Statistical Office. The current series this guide leads with 2024=100, Jan 2026 to Aug 2026, monthly, 13 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 13 | 2026-10-09 | CSVJSON |
| All India, combinedMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 4 series, vintage 2026-08-08 | 2012=100 | Jan 2016 to Dec 2025monthly | 4 | 2026-08-08 | CSVJSON |
| All India, ruralMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 4 series, vintage 2026-08-08 | 2012=100 | Jan 2016 to Dec 2025monthly | 4 | 2026-08-08 | CSVJSON |
| All India, urbanMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 4 series, vintage 2026-08-08 | 2012=100 | Jan 2016 to Dec 2025monthly | 4 | 2026-08-08 | CSVJSON |
| All India, Combined; the 21 sub-groups below the six groupsMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 21 series, vintage 2026-08-08 | 2012=100 | Jan 2016 to Dec 2025monthly | 21 | 2026-08-08 | CSVJSON |
| States/UTs, Combined; published General index (state baskets differ: no all-India weights applied)MoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 35 series, vintage 2026-08-08 | 2012=100 | Jan 2016 to Dec 2025monthly | 35 | 2026-08-08 | CSVJSON |
| States/UTs, Rural and Urban; published General indexMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 71 series, vintage 2026-08-08 | 2012=100 | Jan 2016 to Dec 2025monthly | 71 | 2026-08-08 | CSVJSON |
| Agri labourers, Rural labourers, AL inflation (published), and 1 moreLabour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 2019=100, Jun 2025 to Aug 2026, monthly, 4 series, vintage 2026-10-09 | 2019=100 | Jun 2025 to Aug 2026monthly | 4 | 2026-10-09 | CSVJSON |
| Agri labourers, Rural labourersLabour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 1986-87=100, Jul 2000 to May 2025, monthly, 2 series, vintage 2026-08-06 | 1986-87=100 | Jul 2000 to May 2025monthly | 2 | 2026-08-06 | CSVJSON |
| All India, Group Index (AL), base 2019Labour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 2019=100, Jun 2025 to Aug 2026, monthly, 10 series, vintage 2026-10-09 | 2019=100 | Jun 2025 to Aug 2026monthly | 10 | 2026-10-09 | CSVJSON |
| All India, Combined; General index onlyMoSPI, National Statistical Office 2024=100, Jan 2013 to Dec 2024, monthly, 1 series, vintage 2026-08-08 | 2024=100 | Jan 2013 to Dec 2024monthly | 1 | 2026-08-08 | CSVJSON |
| All India, Combined; continuous General index on base 2024=100: NSO back-cast (2013–2024) bridged to live levels (2025) and the current print (2026), one ruler throughoutMoSPI, National Statistical Office 2024=100, Jan 2013 to Aug 2026, monthly, 1 series, vintage 2026-10-09 | 2024=100 | Jan 2013 to Aug 2026monthly | 1 | 2026-10-09 | CSVJSON |
| All India, Rural and Urban; published General indexMoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 2 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 2 | 2026-10-09 | CSVJSON |
| All India, Combined; the 43 groups below the 13 divisionsMoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 43 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 43 | 2026-10-09 | CSVJSON |
| All India, Combined; all 358 items of the 2024 basketMoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 358 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 358 | 2026-10-09 | CSVJSON |
| States/UTs, Combined; published General index (state baskets differ: no all-India weights applied)MoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 36 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 36 | 2026-10-09 | CSVJSON |
| States/UTs, General Index (AL), base 1986-87Labour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 1986-87=100, Jul 1999 to May 2025, monthly, 20 series, vintage 2026-08-06 | 1986-87=100 | Jul 1999 to May 2025monthly | 20 | 2026-08-06 | CSVJSON |
| States/UTs, General Index (AL), base 2019Labour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 2019=100, Jun 2025 to Aug 2026, monthly, 33 series, vintage 2026-10-09 | 2019=100 | Jun 2025 to Aug 2026monthly | 33 | 2026-10-09 | CSVJSON |
| All India, Combined; the 92 classes of the 2024 basketMoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 92 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 92 | 2026-10-09 | CSVJSON |
| All India, Combined; the 162 sub-classes of the 2024 basketMoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 162 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 162 | 2026-10-09 | CSVJSON |
| All India, Rural and Urban; General index only, NSO back seriesMoSPI, National Statistical Office 2024=100, Jan 2014 to Dec 2024, monthly, 2 series, vintage 2026-10-09 | 2024=100 | Jan 2014 to Dec 2024monthly | 2 | 2026-10-09 | CSVJSON |
| States/UTs x divisions, Combined; published indices (state baskets differ, no all-India weights applied)MoSPI, National Statistical Office 2024=100, Jan 2026 to Aug 2026, monthly, 432 series, vintage 2026-10-09 | 2024=100 | Jan 2026 to Aug 2026monthly | 432 | 2026-10-09 | CSVJSON |
| All India, Combined; the four groups beyond food and fuel (pan, clothing, housing, miscellaneous)MoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 4 series, vintage 2026-10-09 | 2012=100 | Jan 2016 to Dec 2025monthly | 4 | 2026-10-09 | CSVJSON |
| All India, Rural; the groups not in cpi-rural, the Consumer Food Price index and every sub-groupMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 24 series, vintage 2026-10-09 | 2012=100 | Jan 2016 to Dec 2025monthly | 24 | 2026-10-09 | CSVJSON |
| All India, Urban; the groups not in cpi-urban, the Consumer Food Price index and every sub-groupMoSPI, National Statistical Office 2012=100, Jan 2016 to Dec 2025, monthly, 25 series, vintage 2026-10-09 | 2012=100 | Jan 2016 to Dec 2025monthly | 25 | 2026-10-09 | CSVJSON |
| All India, Combined; the 299 items of the 2012 basket (served from January 2014, so y/y from January 2015)MoSPI, National Statistical Office 2012=100, Jan 2015 to Dec 2025, monthly, 299 series, vintage 2026-10-09 | 2012=100 | Jan 2015 to Dec 2025monthly | 299 | 2026-10-09 | CSVJSON |
| All India, three sectors; every group and sub-group, 2012 to 2015MoSPI, National Statistical Office 2012=100, Jan 2012 to Dec 2015, monthly, 83 series, vintage 2026-10-09 | 2012=100 | Jan 2012 to Dec 2015monthly | 83 | 2026-10-09 | CSVJSON |
| All India, CPI for industrial workers, General Index and groups, base 2016=100Labour Bureau, Ministry of Labour and Employment (via RBI DBIE) 2016=100, Sep 2021 to Aug 2026, monthly, 7 series, vintage 2026-10-09 | 2016=100 | Sep 2021 to Aug 2026monthly | 7 | 2026-10-09 | CSVJSON |
| All India, CPI for industrial workers, General Index level, base 2016=100Labour Bureau, Ministry of Labour and Employment (via RBI DBIE) 2016=100, Sep 2020 to Aug 2026, monthly, 1 series, vintage 2026-10-09 | 2016=100 | Sep 2020 to Aug 2026monthly | 1 | 2026-10-09 | CSVJSON |
| All India, CPI for industrial workers, General Index and groups, base 2001=100Labour Bureau, Ministry of Labour and Employment (via RBI DBIE) 2001=100, Jan 2007 to Aug 2020, monthly, 7 series, vintage 2026-10-09 | 2001=100 | Jan 2007 to Aug 2020monthly | 7 | 2026-10-09 | CSVJSON |
| All India, CPI for industrial workers, General Index and groups, base 1982=100Labour Bureau, Ministry of Labour and Employment (via RBI DBIE) 1982=100, Oct 1989 to Dec 2005, monthly, 7 series, vintage 2026-10-09 | 1982=100 | Oct 1989 to Dec 2005monthly | 7 | 2026-10-09 | CSVJSON |
| All India, CPI for industrial workers, General Index and groups, base 1960=100Labour Bureau, Ministry of Labour and Employment (via RBI DBIE) 1960=100, Aug 1969 to Sep 1988, monthly, 1 series, vintage 2026-10-09 | 1960=100 | Aug 1969 to Sep 1988monthly | 1 | 2026-10-09 | CSVJSON |
| 88 centres, CPI for industrial workers, General Index, base 2016=100Labour Bureau, Ministry of Labour and Employment (via RBI DBIE) 2016=100, Sep 2021 to Aug 2026, monthly, 88 series, vintage 2026-10-09 | 2016=100 | Sep 2021 to Aug 2026monthly | 88 | 2026-10-09 | CSVJSON |
| All India, 25 rural occupations, daily wage in rupeesLabour Bureau, Wage Rates in Rural India (via RBI DBIE) occupations 2013 (25), Nov 2013 to Apr 2025, monthly, 25 series, vintage 2026-10-09 | occupations 2013 (25) | Nov 2013 to Apr 2025monthly | 25 | 2026-10-09 | CSVJSON |
| All India, 18 rural occupations, daily wage in rupeesLabour Bureau, Wage Rates in Rural India (via RBI DBIE) occupations 1998 (18), Apr 1998 to Oct 2013, monthly, 18 series, vintage 2026-10-09 | occupations 1998 (18) | Apr 1998 to Oct 2013monthly | 18 | 2026-10-09 | CSVJSON |
| All India, Group Index (RL), base 2019Labour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 2019=100, Jun 2025 to Aug 2026, monthly, 10 series, vintage 2026-10-09 | 2019=100 | Jun 2025 to Aug 2026monthly | 10 | 2026-10-09 | CSVJSON |
| States and UTs, General Index (RL), base 2019, index levelsLabour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 2019=100, Jun 2025 to Aug 2026, monthly, 34 series, vintage 2026-10-09 | 2019=100 | Jun 2025 to Aug 2026monthly | 34 | 2026-10-09 | CSVJSON |
| States, General Index (RL), base 1986-87, y/yLabour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki) 1986-87=100, Jul 2000 to May 2025, monthly, 20 series, vintage 2026-10-09 | 1986-87=100 | Jul 2000 to May 2025monthly | 20 | 2026-10-09 | CSVJSON |
| Base 2024, rural and urban: groups, classes, sub-classes and itemsMoSPI, National Statistical Office. 10 files, listed on their own page 2026 to 2026, 10 files, 1,334 series, vintage 2026-10-09 | 202610 files | 1,334 | 2026-10-09 | All 10 files | |
| Base 2024, every state by division and by group, combined, rural and urbanMoSPI, National Statistical Office. 5 files, listed on their own page 2026 to 2026, 5 files, 5,355 series, vintage 2026-10-09 | 20265 files | 5,355 | 2026-10-09 | All 5 files | |
| Base 2012, every state by group and by sub-group, combined, rural and urbanMoSPI, National Statistical Office. 6 files, listed on their own page 2016 to 2025, 6 files, 1,885 series, vintage 2026-10-09 | 2016 to 20256 files | 1,885 | 2026-10-09 | All 6 files | |
| Base 2012, every state, 2012 to 2015 (2012 and 2013 on the NSO back series)MoSPI, National Statistical Office. 1 file, listed on their own page 2012 to 2015, 1 file, 1,991 series, vintage 2026-10-09 | 2012 to 20151 file | 1,991 | 2026-10-09 | All 1 file | |
| CPI for industrial workers, by centre, three basesLabour Bureau, Ministry of Labour and Employment (via RBI DBIE). 2 files, listed on their own page 1996 to 2020, 2 files, 156 series, vintage 2026-10-09 | 1996 to 20202 files | 156 | 2026-10-09 | All 2 files | |
| Rural daily wages, every state by occupation, two occupation listsLabour Bureau, Wage Rates in Rural India (via RBI DBIE). 2 files, listed on their own page 1998 to 2025, 2 files, 718 series, vintage 2026-10-09 | 1998 to 20252 files | 718 | 2026-10-09 | All 2 files | |
| CPI-AL and CPI-RL, every state by group, two basesLabour Bureau, Ministry of Labour & Employment (via MoSPI eSankhyiki). 2 files, listed on their own page 2000 to 2026, 2 files, 270 series, vintage 2026-10-09 | 2000 to 20262 files | 270 | 2026-10-09 | All 2 files |
Cite this guide
Measure of India, “Consumer prices”, latest dated source vintage 2026-10-09. measure.thisindianlife.today/guides/cpi/