Calamity
HighAir QualityCalamity Score: 62

Air Quality near Marrakesh

MoroccoWorld Air Quality Index

Reported by World Air Quality Index today.

It is one of only 2 we have recorded within 20 km of this point since 20 April 2026. The last comparable one was on 20 April 2026.

What the source measured

World Air Quality Index reported: AQI 210 (Very Unhealthy) at Rue du Temple

The air quality index read 210 (Very Unhealthy) at the Rue du Temple station.

An estimated 662,710 people live within 5 km of this point.

How we know

One source: World Air Quality Index. Not yet confirmed by a second, independent source.

Our own score for this event is 62 out of 100, at 66 % confidence.

The score is ours, computed from intensity, exposed population and local history — not the source’s.

Computed under scoring rules v4. Rows carrying other versions were judged by different rules and are not directly comparable.

Event Data

TypeAir Quality
SeverityHigh
Calamity Score (ours)62 / 100
Our confidence66%
Coordinates31.6240, -8.0020
Nearest CityMarrakesh (1 km)
Population Exposed662.7K within 5 km
Impact Tiersevere
Timestamp2026-09-05T11:02:14.000Z
Sourcehttps://aqicn.org/city/@-472816

Score Breakdown

80
intensity
85
population
0
cascading
40
historical

Technical Details

Aqi210
AqiCategoryVery Unhealthy
StationNameRue du Temple
StationUid-472816

Safety Information

When air quality is hazardous: stay indoors with windows closed, and run a filtered air purifier if you have one. Avoid outdoor exercise. Children, older adults and anyone with heart or lung conditions are affected first and worst — an N95 respirator helps outdoors, a cloth mask does not.

Series begins 8 March 2026. Comparisons refer to that period only. Collection gap: 14-26 August 2026.

This data is aggregated algorithmically from scientific sources. Not a replacement for official emergency warnings.

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Calamity.live data shows a air quality event with CalamityScore 62/100, near Marrakesh (Morocco), based on data from waqi. Source: Calamity.live, a platform aggregating real-time data from 185 scientific monitoring sources.