Air Quality Check for India
Is the air here safe to breathe? Check live AQI from the nearest CPCB monitoring stations, plus 12-month average and 3-year trend.
What is AQI, and what does it tell you about a piece of land?
The Air Quality Index is the Central Pollution Control Board's standardised way of converting six pollutants — particulate matter, nitrogen dioxide, sulphur dioxide, carbon monoxide, ozone, and ammonia — into a single 0-to-500 score. Every Indian city, every health advisory, every newspaper headline references this same number. It is the most directly accessible signal of how healthy the air is at a given location.
The six official AQI categories
CPCB’s 2014 methodology defines six bands with specific health impact descriptions:
- 0–50 Good (green). Minimal impact. Air quality you wouldn’t notice. Most of coastal Karnataka, the Western Ghats, Himachal in summer.
- 51–100 Satisfactory (light green). Minor breathing discomfort for sensitive people. Most of South India outside major industrial belts.
- 101–200 Moderate (yellow). Breathing discomfort for people with lung, asthma, or heart conditions. The annual baseline for most Tier-1 Indian cities.
- 201–300 Poor (orange). Breathing discomfort for most people on prolonged exposure. NCR for half the year. Industrial corridors around Patancheru, Manali, Vapi.
- 301–400 Very Poor (red). Respiratory illness on prolonged exposure. NCR in winter. Mid-Gangetic plain in stubble-burning season.
- 401–500 Severe (maroon). Affects healthy people; serious for vulnerable groups. Delhi and NCR for 30–60 days a year, October through February.
Which pollutants matter, and what each one tells you
The AQI is whichever pollutant is worst at a given moment. Knowing which one is dominant tells you where the pollution is coming from.
- PM2.5 — fine particles under 2.5 micrometres. The most damaging long-term, because they reach deep into lung tissue. Source: vehicle exhaust, industrial combustion, biomass and stubble burning, construction dust. If PM2.5 is dominant, you are near a road, a factory, or downwind of large-scale biomass burning.
- PM10 — particles under 10 micrometres. More visible than PM2.5, larger fraction is local. Source: road dust, construction, mining. PM10-dominant typically means a construction zone or unsealed road within 1–2 km.
- NO₂ — nitrogen dioxide. Source: vehicle exhaust at scale. NO₂-dominant means very high traffic density — typically an arterial road or major junction within 500 m.
- SO₂ — sulphur dioxide. Source: coal-fired power plants, refineries, heavy industry burning sulphur-rich fuel. SO₂-dominant means a coal plant, refinery, or heavy industrial plant within 15–20 km.
- CO — carbon monoxide. Source: incomplete combustion (fires, biomass, faulty engines). Rarely dominant; when it is, look for active biomass burning or a major combustion source nearby.
- O₃ — ground-level ozone. Not directly emitted — forms when NOx and VOCs react in sunlight. Ozone-dominant readings are typical of hot urban afternoons in summer.
The Indian seasonal swing
Air quality in India is not constant through the year. Two reasons it changes:
Stubble burning. From mid-October through November, farmers across Punjab and Haryana burn crop residue to clear fields for the next planting. The resulting PM2.5 plume crosses the Indo-Gangetic plain and parks itself over NCR, UP, and Bihar for 6–8 weeks. AQI in Delhi commonly jumps from 150 (October 1) to 400+ (November 1).
Atmospheric mixing layer height. In summer, hot air rises and disperses pollutants vertically up to 2–3 km. In winter, cold dense air sits near the ground and the mixing layer drops to 200–400 m — pollutants accumulate in a much thinner slab. The same emissions produce 3–5× higher ground-level concentrations.
The combined effect: most North Indian cities are 3–5× worse from October to February than from May to August. A buyer who visits Delhi in March and signs in March will be surprised by November.
Why the 12-month average matters more than today’s number
Today’s AQI swings with the weather. A windy afternoon in Lucknow can read “Good” in November while the actual seasonal baseline is “Very Poor”. For a buyer making a 30-year decision, the 12-month average is the comparable number across plots. A plot that averages 95 AQI year-round is meaningfully different from one that averages 220 — even if both happen to read “Moderate” on the day you visit.
This is why our result card shows three numbers, not one: today’s interpolated AQI, the 12-month average, and the 3-year trend (Improving / Stable / Worsening). The trend tells you whether things are getting better or worse — a critical signal for any long-hold land investment.
India urban planning context
NCR (Delhi, Gurgaon, Noida, Ghaziabad) — annual average AQI typically 180–220. Winter months routinely 350+. The single most polluted urban region in India by margin.
Industrial belts — Patancheru (west of Hyderabad), MIDC belt (around Pune and Aurangabad), Manali (north of Chennai), Vapi (south of Surat). Annual averages 140–180; SO₂ and PM10 often dominant.
Coastal cities — Mangalore, Visakhapatnam, Chennai’s coastal belt, Mumbai’s western suburbs. Sea breeze dispersion keeps annual averages in the 80–120 range — Satisfactory to Moderate.
Bengaluru and Hyderabad — annual averages 100–140 in city centre; suburbs and tech corridors typically 80–120. Cleaner than NCR, dirtier than coastal cities. Both worsening year on year.
Hill towns — Dehradun, Shimla, Munnar, Coorg, Wayanad. Annual averages under 80 — Good to Satisfactory most of the year. The cleanest large category in India.
Why this matters for property value
Air quality is no longer a soft preference; it has become a measurable driver of residential demand. In NCR, properties in worst-affected micro-pockets (heavy industrial fringes, near landfills, downwind of brick kilns) show 10–25% absorption lag versus comparable plots in better-ventilated zones. New-build projects increasingly advertise their distance from the nearest CPCB station with high readings. Long-term exposure to PM2.5 above 60 µg/m³ is linked to documented respiratory and cardiovascular disease — this is a health cost, not just a comfort issue, and serious buyers now check it.
What do these numbers mean?
The result card shows what the air is like right now, what it averages over a year, and which direction it is trending. Here's how to read each metric.
How the analysis works
Three steps. Under five seconds. Live CPCB data, cached one hour.
You mark the plot
Draw the exact boundary on the map, drop a pin at the centre, or paste an address. AQI is interpolated to your point regardless of plot size.
We find the nearest CPCB stations
We query the 3 nearest CPCB monitoring stations within 50 km, pull live pollutant readings via data.gov.in, compute each station’s AQI using the CPCB 2014 formula, and combine them using inverse-distance weighting to your point.
You see live + historical + trend
The result card shows today’s AQI, the CPCB category, the dominant pollutant, the 12-month average from the nearest OpenAQ sensor, and the 3-year trend direction. Each contributing station is listed with its distance and AQI.
Methodology and data sources
We follow the CPCB National AQI 2014 methodology exactly. No interpretation, no proprietary formula.
Where the data comes from
Three sources stacked. CPCB via data.gov.in provides real-time concentrations for PM2.5, PM10, NO₂, SO₂, CO, O₃, NH₃, and Pb from ~509 monitoring stations across India. OpenAQ v3 supplies the 12-month rolling average and the 3-year trend from the nearest PM2.5 sensor. Open-Meteo CAMS is the fallback when no CPCB station sits within 50 km of the query point — the result is then labelled model-estimated.
How we compute the AQI
For every analysis:
- Sub-index per pollutant: each concentration is converted to a 0–500 sub-index using the CPCB piecewise linear formula. PM2.5, PM10, NO₂, SO₂, NH₃, Pb use the 24-hour average; CO and O₃ use the 8-hour maximum. CO concentrations are divided by 1,000 because data.gov.in reports CO in µg/m³ while the CPCB formula expects mg/m³.
- Station AQI: the maximum sub-index across all pollutants at that station becomes the station’s AQI. The pollutant driving the maximum is the dominant pollutant.
- Validity check: CPCB requires at least 3 pollutants present, including at least one of PM2.5 or PM10, for a station AQI to be considered valid. Stations with fewer pollutants still contribute to the interpolation but are flagged.
- IDW interpolation to your point: up to 3 nearest stations within 50 km are combined as
aqi = Σ(station_aqi × 1/d²) / Σ(1/d²). Closer stations dominate. - IDW confidence (0–100%): 40% based on number of stations (1 = 33%, 2 = 67%, 3+ = 100%), 40% on nearest distance (0 km = 100%, 50 km = 0%), 20% on AQI agreement across stations.
- 12-month average: daily PM2.5 readings from the nearest OpenAQ sensor are aggregated to monthly averages, each month converted to AQI via the PM2.5 sub-index formula, and averaged.
- 3-year trend: compare the first half versus the second half of the most recent 3-year window. > 5% drop in PM2.5 = Improving; > 5% rise = Worsening; otherwise Stable.
Coverage and limitations
- ~509 CPCB stations cover all Tier-1 and Tier-2 cities and most state capitals. Rural and small-town coverage is sparse.
- 50 km fallback radius. If no CPCB station is within 50 km, we use Open-Meteo CAMS model output — labelled “model-estimated, no CPCB station within 50 km”.
- 1-hour cache on station readings. The same query within a ~11 km grid cell will return the cached result for up to 1 hour to keep response times under 500 ms.
- PM2.5-led trend. The 3-year trend uses PM2.5 only — it is the longest-history pollutant on OpenAQ and the primary health driver. Other pollutants are shown in the current reading but do not drive the trend metric.
What we don’t do
We do not predict future AQI or model dispersion from individual sources. The AQI shown is the standard ambient AQI you would read from the nearest CPCB station, interpolated to your exact location. For dispersion modelling from a specific point source (planned factory, expressway, power plant), commission a site-specific air quality study from a NABL-accredited laboratory.
