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BulandshahrCPCB Monitoring Stations

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

1 stationsCleanest station AQI 180Dirtiest AQI 1800-point gapWorst: Yamunapuram (UPPCB)

Uttar Pradesh · Live Bulandshahr AQI →

Bulandshahr — all 1 CPCB stations

  • 1Yamunapuram (UPPCB)1802281d

City-wide category distribution

  • Good:8.7%
  • Satisfactory:18.4%
  • Moderate:33.8%
  • Poor:25.3%
  • Very Poor:10.7%
  • Severe:3.2%

Based on 2,281 daily max AQI readings.

Disparity summary

Cleanest station avg
AQI 180
Median station avg
AQI 180
Dirtiest station avg
AQI 180
Gap
0 pts
City-wide avg
AQI 180

What the numbers say

Overview

Bulandshahr is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 180, the median station averages 180, and the most polluted averages 180. 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 Bulandshahr has been around the Yamunapuram Bulandshahr UPPCB area, averaging AQI 180 with peaks hitting 500. 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 Bulandshahr, 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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