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LudhianaCPCB Monitoring Stations

Every CPCB monitoring station in Ludhiana, ranked by long-run AQI. Based on CPCB station data, 2016–present.

1 stationsCleanest station AQI 118Dirtiest AQI 1180-point gapWorst: Punjab Agricultural University (PPCB)

Punjab · Live Ludhiana AQI →

Ludhiana — all 1 CPCB stations

  • 1Punjab Agricultural University (PPCB)1181533d

City-wide category distribution

  • Good:9.8%
  • Satisfactory:43.8%
  • Moderate:33.1%
  • Poor:10.1%
  • Very Poor:2.9%
  • Severe:0.3%

Based on 1,533 daily max AQI readings.

Disparity summary

Cleanest station avg
AQI 118
Median station avg
AQI 118
Dirtiest station avg
AQI 118
Gap
0 pts
City-wide avg
AQI 118

What the numbers say

Overview

Ludhiana is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 118, the median station averages 118, and the most polluted averages 118. 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 Ludhiana has been around the Punjab Agricultural University Ludhiana PPCB area, averaging AQI 118 with peaks hitting 488. 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 Ludhiana, 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.

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