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PithampurCPCB Monitoring Stations

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

1 stationsCleanest station AQI 114Dirtiest AQI 1140-point gapWorst: Sector-2 Industrial Area (MPPCB)

Madhya Pradesh · Live Pithampur AQI →

Pithampur — all 1 CPCB stations

  • 1Sector-2 Industrial Area (MPPCB)1142560d

City-wide category distribution

  • Good:7.7%
  • Satisfactory:33.3%
  • Moderate:53.6%
  • Poor:5.3%
  • Very Poor:0.2%
  • Severe:0%

Based on 2,560 daily max AQI readings.

Disparity summary

Cleanest station avg
AQI 114
Median station avg
AQI 114
Dirtiest station avg
AQI 114
Gap
0 pts
City-wide avg
AQI 114

What the numbers say

Overview

Pithampur is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 114, the median station averages 114, and the most polluted averages 114. 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 Pithampur has been around the Sector-2 Industrial Area Pithampur MPPCB area, averaging AQI 114 with peaks hitting 310. 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 Pithampur, 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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