Panipat — CPCB Monitoring Stations
Every CPCB monitoring station in Panipat, ranked by long-run AQI. Based on CPCB station data, 2016–present.
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Panipat — all 1 CPCB stations
- 1Sector-18 (HSPCB)1521841d
City-wide category distribution
- Good:3.7%
- Satisfactory:29.4%
- Moderate:45.4%
- Poor:12.9%
- Very Poor:7.5%
- Severe:1.1%
Based on 1,841 daily max AQI readings.
Disparity summary
- Cleanest station avg
- AQI 152
- Median station avg
- AQI 152
- Dirtiest station avg
- AQI 152
- Gap
- 0 pts
- City-wide avg
- AQI 152
What the numbers say
Overview
Panipat is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 152, the median station averages 152, and the most polluted averages 152. That is a 0-point gap between neighbourhoods of the same city.
The data story
Across the long-run record, the worst-performing station in Panipat has been around the Sector-18 Panipat HSPCB area, averaging AQI 152 with peaks hitting 475. This is typical of industrial corridors, traffic junctions near fossil-fuel heating zones, or areas at the end of the prevailing wind that accumulate the city's emissions.
Why this pattern
Intra-city AQI disparities are normal in dense Indian cities because emission sources — factories, highways, brick kilns, waste-burning dumps — are concentrated in specific neighbourhoods rather than evenly spread. Monitoring stations are placed to capture this variation: a leafy residential pocket can post AQI 120 on the same afternoon that an industrial-boundary station reads 260. Any single "city AQI" number is an average that hides the real range of exposures experienced by residents.
What to do with this
If you live in Panipat, use this leaderboard to find the nearest station to your home or workplace and treat that reading as more relevant than the city average. Parents choosing schools, employers planning outdoor work and runners picking routes should all factor in station-level data. If your neighbourhood station is in the top-three worst, treat indoor air quality, mask use on bad days, and window timing as priority interventions.