Beijing Air Quality: pm2.5

2018 summaries:

Beijing's average PM2.5 has continued to improve dramatically again

2008

(partial year) 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 150 166 166 159 151 162 158 141 132 118 109

Get results for 1 2 3 4 5 6 hours days weeks months years ending: Now At: New! Beijing smog forecast from banshirne.com

Next time with good air: Sun 09-20 at 00:00

Next morning with clean air: Tue 09-22

Last updated at 2020-09-18 06:00 CDT Next time with good air:Next morning with clean air: More complete forecast information can be found at aqicn.org

City: Beijing Chengdu Guangzhou Shanghai Shenyang

Scale: US China What does this mean? Hourly graph Daily summary graph Data only

Data for previous years can be accessed in csv form from the summary pages

Beijing Results from 2020-09-15 19:00 to 2020-09-18 18:00



< 0 (no reading) 1.39% (1)

< 50 (Good) 80.56% (58)

< 100 (Moderate) 15.28% (11)

< 150 (Heavy) 2.78% (2)

< 200 (Unhealthy) 0.00% (0)

< 300 (Very unhealthy) 0.00% (0)

< 500 (Hazardous) 0.00% (0)

< 9999 ( Crazy bad 0.00% (0)

Summary 2020-09-18 18:00 8

2020-09-18 17:00 17

2020-09-18 16:00 21

2020-09-18 15:00 8

2020-09-18 14:00 4

2020-09-18 13:00 21

2020-09-18 12:00 25

2020-09-18 11:00 21

2020-09-18 10:00 34

2020-09-18 09:00 34

2020-09-18 08:00 34

2020-09-18 07:00 25

2020-09-18 06:00 34

2020-09-18 05:00 25

2020-09-18 04:00 66

2020-09-18 03:00 57

2020-09-18 02:00 87

2020-09-18 01:00 70

2020-09-18 00:00 79

2020-09-17 23:00 122

2020-09-17 22:00 105

2020-09-17 21:00 70

2020-09-17 20:00 42

2020-09-17 19:00 38

2020-09-17 18:00 25

2020-09-17 17:00 13

2020-09-17 16:00 13

2020-09-17 15:00 13

2020-09-17 14:00 13

2020-09-17 13:00 13

2020-09-17 12:00 (no data)

2020-09-17 11:00 4

2020-09-17 10:00 17

2020-09-17 09:00 21

2020-09-17 08:00 21

2020-09-17 07:00 21

2020-09-17 06:00 21

2020-09-17 05:00 25

2020-09-17 04:00 34

2020-09-17 03:00 38

2020-09-17 02:00 25

2020-09-17 01:00 17

2020-09-17 00:00 25

2020-09-16 23:00 21

2020-09-16 22:00 25

2020-09-16 21:00 46

2020-09-16 20:00 34

2020-09-16 19:00 17

2020-09-16 18:00 13

2020-09-16 17:00 17

2020-09-16 16:00 8

2020-09-16 15:00 8

2020-09-16 14:00 8

2020-09-16 13:00 4

2020-09-16 12:00 4

2020-09-16 11:00 17

2020-09-16 10:00 8

2020-09-16 09:00 (no data)

2020-09-16 08:00 8

2020-09-16 07:00 8

2020-09-16 06:00 4

2020-09-16 05:00 8

2020-09-16 04:00 13

2020-09-16 03:00 30

2020-09-16 02:00 55

2020-09-16 01:00 59

2020-09-16 00:00 61

2020-09-15 23:00 53

2020-09-15 22:00 51

2020-09-15 21:00 46

2020-09-15 20:00 46

2020-09-15 19:00 38

18:0017:0016:0015:0014:0013:0012:0011:0010:0009:0008:0007:0006:0005:0004:0003:0002:0001:0000:0023:0022:0021:0020:0019:0018:0017:0016:0015:0014:0013:0012:0011:0010:0009:0008:0007:0006:0005:0004:0003:0002:0001:0000:0023:0022:0021:0020:0019:0018:0017:0016:0015:0014:0013:0012:0011:0010:0009:0008:0007:0006:0005:0004:0003:0002:0001:0000:0023:0022:0021:0020:0019:00

Here is a story about a guy who has another, more qualitative way to show the data: every day he takes a picture of the same scene outside his window. His blog (in Chinese) is at http://weibo.com/u/1000481815.

