Patiala — CPCB Monitoring Stations
Every CPCB monitoring station in Patiala, ranked by long-run AQI. Based on CPCB station data, 2016–present.
Punjab · Live Patiala AQI →
Patiala — all 1 CPCB stations
- 1Model Town (PPCB)1042458d
City-wide category distribution
- Good:17.5%
- Satisfactory:37.3%
- Moderate:38.7%
- Poor:5.7%
- Very Poor:0.8%
- Severe:0.1%
Based on 2,458 daily max AQI readings.
Disparity summary
- Cleanest station avg
- AQI 104
- Median station avg
- AQI 104
- Dirtiest station avg
- AQI 104
- Gap
- 0 pts
- City-wide avg
- AQI 104
What the numbers say
Overview
Patiala is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 104, the median station averages 104, and the most polluted averages 104. 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 Patiala has been around the Model Town Patiala PPCB area, averaging AQI 104 with peaks hitting 415. 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 Patiala, 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.