Most Recent Conditions
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Due to processing delays, the data presented on the map may sometimes be more recent than what is shown in the time series. |
Frequency of Healthy Category Occurrence
| During the last 30 days | |
| During the last 365 days | |
Long-term History
Seasonal averages are based on all available PM2.5 observations, and not just the most recent year.
Comparison to Health Guidelines during last 365 Days
World Health Organization | |
| Did air quality meet WHO guidelines for acceptable PM2.5 exposure? | |
| Annual average PM2.5 not exceed 10 μg/m3 | |
| Daily average PM2.5 not exceed 25 μg/m3 on more than 3 days per year | |
United States EPA | |
| Did air quality meet US EPA limits for acceptable PM2.5 exposure? | |
| Annual average PM2.5 not exceed 12 μg/m3 | |
| Daily average PM2.5 not exceed 35 μg/m3 on more than 7 days per year | |
European Union | |
| Did air quality meet European Union limits for acceptable PM2.5 exposure? | |
| Annual average PM2.5 not exceed 25 μg/m3 | |
India | |
| Did air quality meet Indian limits for acceptable PM2.5 exposure? | |
| Annual average PM2.5 not exceed 40 μg/m3 | |
| Daily average PM2.5 not exceed 60 μg/m3 on more than 7 days per year | |
| Daily average PM2.5 exceeding 60 μg/m3 must not occur on consecutive days | |
China | |
| Did air quality meet Chinese limits for acceptable PM2.5 exposure? | |
| Annual average PM2.5 not exceed 35 μg/m3 | |
| Daily average PM2.5 not exceed 75 μg/m3 | |
Download Hourly Data
Hourly concentration observations are provided for this location in a simple text format. All times are expressed in UTC time. These data are based on the regional interpolation of real-time observations by ground-level monitoring stations. As the intent is to capture regional variations in air quality, be aware that individual air quality monitors may report somewhat higher or lower values for PM2.5 concentrations than the values represented by the local averages reported here. Since real-time data is used, these time series should be regarded as preliminary and subject to change. Automated quality control processes are used to identify erroneous data, but additional corrections may be necessary. In addition, the number of stations available and their spatial distribution is likely to change over time. Be aware that changes in the station network may have introduced biases in these results. Professional researchers wishing to use this data are encouraged to contact Berkeley Earth to discuss these issues further.
