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VrindāvanCPCB Monitoring Stations

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

1 stationsCleanest station AQI 115Dirtiest AQI 1150-point gapWorst: Omex Eternity (UPPCB)

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Vrindāvan — all 1 CPCB stations

  • 1Omex Eternity (UPPCB)1151179d

City-wide category distribution

  • Good:17.6%
  • Satisfactory:26.2%
  • Moderate:48.9%
  • Poor:5.8%
  • Very Poor:0.9%
  • Severe:0.6%

Based on 1,179 daily max AQI readings.

Disparity summary

Cleanest station avg
AQI 115
Median station avg
AQI 115
Dirtiest station avg
AQI 115
Gap
0 pts
City-wide avg
AQI 115

What the numbers say

Overview

Vrindāvan is monitored by 1 CPCB stations, and they do not agree with each other. The cleanest station averages AQI 115, the median station averages 115, and the most polluted averages 115. 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 Vrindāvan has been around the Omex Eternity Vrindavan UPPCB area, averaging AQI 115 with peaks hitting 475. 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 Vrindāvan, 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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