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SamastipurCPCB Monitoring Stations

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

1 stationsCleanest station AQI 177Dirtiest AQI 1770-point gapWorst: DM Office Kasipur (BSPCB)

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Samastipur — all 1 CPCB stations

  • 1DM Office Kasipur (BSPCB)177792d

City-wide category distribution

  • Good:2.1%
  • Satisfactory:21.3%
  • Moderate:41.9%
  • Poor:19.2%
  • Very Poor:14%
  • Severe:1.4%

Based on 792 daily max AQI readings.

Disparity summary

Cleanest station avg
AQI 177
Median station avg
AQI 177
Dirtiest station avg
AQI 177
Gap
0 pts
City-wide avg
AQI 177

What the numbers say

Overview

Samastipur is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 177, the median station averages 177, and the most polluted averages 177. 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 Samastipur has been around the DM Office Kasipur Samastipur BSPCB area, averaging AQI 177 with peaks hitting 459. 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 Samastipur, 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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