World Health Organization: 2014 Air Pollution Ranking

Posted on May 16th 2015
Share: aqicn.org/faq/2015-05-16/world-health-organization-2014-air-pollution-ranking

It is already more than one year since the World Health Organization has released their 'Ambient (outdoor) air pollution in cities database 2014'. The WHO team who worked on this project have done an excellent work at gathering the data for so many countries, and putting it all together in a single place accessible for all.

We wrote about it in several of our past articles (like for the Air Quality in Africa or in Latin America), but we never had the chance to look at the different options to visualize their data set. So, this is what we will be writing about in this article.

Level
PM2.5
PM10
Air Quality Guideline
0 .. 10
0 .. 20
Intermediate target - 1
10 .. 15
20 .. 30
Intermediate target - 2
15 .. 25
30 .. 50
Intermediate target - 3
25 .. 35
50 .. 70
Over target
35 .. 53
70 .. 105
Significantly over target
53 ..
105 ..
The first step for the visualization is to define the levels and associated colors. For this purpose, the WHO has already defined several concentration breakpoints for PM10 and PM2.5 annual concentrations, more known as the WHO "Air Quality Guidelines and Interim targets ", so we will just be reusing the same breakpoints values.

For the sake of the visualization, an extra level called "Significantly over target " is added, and defined as 150% of the concentration of the higher interim target (target level 3). Colors code are also assigned to each levels. The table on the right is summarizing the associations.

In order to plot the data for each country (There are 1622 from 92 countries in the WHO database), we use the country average concentration - weighted by the number of inhabitant in each cities. So, that, if the largest city is having a low AQI and few smaller cities in the same country are having a higher AQI, then the country national AQI levels should be reported as small to moderate.

In order to know the number of inhabitant for each city reported in the WHO database, we are using the service from geonames.org. Unfortunately, not all of the cities reported in the WHO DB can be matched on geonames.org, so the visualization below is not completely exact, but good enough for a proof of concept.

PM2.5 average
PM2.5 weighted average
PM10 average
PM10 weighted average
World Health Organization: Annual Ambient Air Pollution
Level/Color
Air Quality Guideline
Intermediate target - 1
Intermediate target - 2
Intermediate target - 3
Over target
Significantly over target
-


And for the reference, here is the list of all countries with their respective annual weighted concentrations for PM10 and PM2.5 pollutants. The columns 'Inhabitants for the cities with Air Quality Data' refers to the total population obtained from the geonames.org service, for the city which can be reverse geo-coded.

Country#Stations#Inhabitants
for the cities with
Air Quality Data
PM2.5PM10City without population information
annual concentrationweighted concentrationannual concentrationweighted concentration
ILIsrael161M
30.3
24.6
62.5
59.19 cities (out of 16)
CACanada13140.8M
6.9
7.5
20.7
22.638 cities (out of 131)
USUnited States37984.2M
9.7
12.9
16
21.3137 cities (out of 379)
ISIceland30.2M
6.3
8.2
10
10.5
BNBrunei40.2M
6.8
6.6
14.5
13.9
AUAustralia1515.2M
6.3
5.7
12.7
12.83 cities (out of 15)
NZNew Zealand173M
7.6
6.8
15.4
14.11 city (out of 17)
SESweden52.2M
9.2
8.7
17.3
16.5
ESSpain4616.9M
12.2
12.4
22.8
23.2
FIFinland51.1M
6.8
7.3
11.5
12.3
JPJapan2033.4M
9.2
10
20.2
2215 cities (out of 20)
MYMalaysia72M
12.4
13.2
27
28.71 city (out of 7)
EEEstonia30.6M
7.3
7.2
15
14
PTPortugal152.2M
11.5
12.3
27.3
29.22 cities (out of 15)
IEIreland21.2M
8.5
8.8
17.5
17.8
NONorway41.1M
9.5
10.9
18.3
20.3
GBUnited Kingdom3616.2M
13.3
14.7
19.6
20.8
MVMaldives10M
9-
20-1 city (out of 1)
ECEcuador94.6M
17.4
24.1
36.3
50.61 city (out of 9)
BRBrazil4032.3M
19.1
21.7
36
40.52 cities (out of 40)
LRLiberia20M
9.5
9.3
59
61.7
ITItaly4811.2M
22.7
24.1
32
33.2
BTBhutan10.1M
10
10
23
23
FRFrance8113.8M
17.4
17.4
24.2
24.61 city (out of 81)
INIndia124123.4M
46
60.6
102.1
129.17 cities (out of 124)
MUMauritius40.3M
26.5
38.1
52.5
75.71 city (out of 4)
ZASouth Africa710.8M
25.6
24
53.4
472 cities (out of 7)
THThailand298.3M
22.4
20.6
41.4
38.9
DEGermany7123M
16.1
17
21.7
22.82 cities (out of 71)
LTLithuania20.5M
14
16
21
231 city (out of 2)
RORomania144.2M
19.6
21
31.8
37.1
PLPoland5411.9M
26.9
26.9
37.2
38.3
MTMalta10M
12
12
0-
BYBelarus42.7M
15
15.7
22.8
23.9
MCMonaco10M
13
13
20
20
CLChile243.2M
24.9
26.8
52.8
55.74 cities (out of 24)
CHSwitzerland60.9M
15.3
15.1
22.7
22.2
BEBelgium72.3M
17.4
18.1
25.8
27
JMJamaica30M
17
15.3
31.7
28.6
COColombia1014.3M
23.1
24.5
41.2
43.61 city (out of 10)
MXMexico918.7M
22.2
23.9
61.8
79.51 city (out of 9)
TRTurkey7133.4M
42.8
39.1
63.8
58.41 city (out of 71)
LULuxembourg10.1M
14
14
18
18
CZCzech Republic152.8M
23.1
21.9
31.5
29.31 city (out of 15)
CRCosta Rica40.1M
17.8
18.8
32.8
35.11 city (out of 4)
ATAustria52.3M
18.8
19.1
25.8
26.7
NLNetherlands123M
16.4
16.9
25.4
25.5
DKDenmark31.5M
16.3
16.7
12
12
ARArgentina113.1M
16
16
30
30
LVLatvia10.7M
16
16
23
23
GRGreece50.2M
21.8
21.4
28
23.6
ADAndorra10M
16
16
24
24
SGSingapore13.5M
17
17
27
27
KRSouth Korea3631.3M
23.4
23
51.1
50.63 cities (out of 36)
PYParaguay11.5M
18
18
0-
MNMongolia81.1M
50.5
61.8
109.9
134.41 city (out of 8)
CNChina112263.3M
40.4
41.4
88
90.19 cities (out of 112)
UYUruguay11.3M
18
18
27
27
VNVietnam35.7M
28.3
29
62
63
LBLebanon23.1M
24.5
23.4
72
69.8
IDIndonesia18.5M
21
21
48
48
BGBulgaria132.7M
34.4
38.6
51.9
57.4
RURussia110.4M
22
22
33
33
CYCyprus20.4M
23
23.1
36
36
SKSlovakia62.6M
26
25.4
36.4
33.81 city (out of 6)
PHPhilippines311.5M
31
22.6
67.7
50.2
SISlovenia20.4M
24
24.5
31
31
BOBolivia21.7M
32
32.5
58.5
59.3
TZTanzania10.3M
23
23
35
35
HUHungary32.1M
25.3
26.7
33.3
33.1
VEVenezuela23M
28
24
52
451 city (out of 2)
LKSri Lanka10.6M
28
28
64
64
SASaudi Arabia12.9M
28
28
87
87
MMMyanmar11.2M
30
30
69
69
IRIran38M
67.3
34.2
177.3
115.11 city (out of 3)
OMOman10.8M
31
31
82
82
HNHonduras10.9M
32
32
58
58
BABosnia and Herzegovina10.7M
33
33
48
48
GTGuatemala11M
33
33
45
45
RSSerbia21.5M
39.5
35.8
59
53.6
PEPeru17.7M
38
38
63
63
SNSenegal12.5M
40
40
179
179
BHBahrain50.5M
54.6
56.1
249.4
255.5
JOJordan11.3M
48
48
128
128
GHGhana12M
49
49
98
98
NPNepal11.4M
50
50
114
114
AEUnited Arab Emirates30.6M
60
64
159.7
1702 cities (out of 3)
BDBangladesh830.5M
76
83.3
153.5
168.9
AFAfghanistan23M
77
86
297
2601 city (out of 2)
PKPakistan413.4M
100.8
115.7
364.8
295.82 cities (out of 4)
EGEgypt27.7M
74.5
73
137.5
1351 city (out of 2)
QAQatar20.4M
89
92.4
160
166.9


Click here to see all the FAQ entries
  • Nitrogen Dioxyde (NO2) in our atmosphere
  • Ozone AQI Scale update
  • Kriging Interpolation




  • comments powered by Disqus

    空気の質と大気汚染指数で

    大気品質レベルについて

    指数大気質指数の分類(米国)健康影響 / カテゴリ粒子状物質(PM10,PM2.5)
    0 - 50良い - Good通常の活動が可能なし
    51 -100並 - Moderate特に敏感な者は、長時間又は激しい屋外活動の減少を検討非常に敏感な人は、長時間または激しい活動を減らすよう検討する必要がある。
    101-150敏感なグループにとっては健康に良くない - Unhealthy for Sensitive Groups心臓・肺疾患患者、高齢者及び子供は、長時間又は激しい屋外活動を減少心疾患や肺疾患を持つ人、高齢者、子供は、長時間または激しい活動を減らす必要がある。
    151-200健康に良くない - Unhealthy上記の者は、長時間又は激しい屋外活動を中止
    すべての者は、長時間又は激しい屋外活動を減少
    心疾患や肺疾患を持つ人、高齢者、子供は、長時間または激しい活動を中止する必要がある。それ以外の人でも、長時間または激しい活動を減らす必要がある。
    201-300極めて健康に良くない - Very Unhealthy上記の者は、すべての屋外活動を中止
    すべての者は、長時間又は激しい屋外活動を中止
    心疾患や肺疾患を持つ人、高齢者、子供は、全ての屋外活動を中止する必要がある。それ以外の人でも、長時間または激しい活動を中止する必要がある。
    300+危険 - Hazardous上記の者は、屋内に留まり、体力消耗を避ける
    すべての者は、屋外活動を中止
    全ての人が屋外活動を中止する必要がある。特に、心疾患や肺疾患を持つ人、高齢者、子供は、屋内に留まって激しい活動を避け静かに過ごす必要がある。
    (Reference: see wikipedia,and cn.emb-japan.go.jp/)

    あなたは空気の質や汚染についての詳細をお知りになりたい場合は、WikipediaAirNowを参照してください。

    北京の医者Richard Saint Cyrの非常に便利な健康アドバイスについては、 www.myhealthbeijing.com をチェックしてください。


    Usage Notice: All the Air Quality data are unvalidated at the time of publication, and due to quality assurance these data may be amended, without notice, at any time. The World Air Quality Index project has exercised all reasonable skill and care in compiling the contents of this information and under no circumstances will the World Air Quality Index project team or its agents be liable in contract, tort or otherwise for any loss, injury or damage arising directly or indirectly from the supply of this data.



    設定


    言語を選択:


    Temperature unit:
    Celcius