World Health Organization: 2014 Air Pollution Ranking

Posted on May 16th 2015
(re-edited on January 12th 2020)
ແບ່ງປັນ: aqicn.org/faq/2015-05-16/world-health-organization-2014-air-pollution-ranking/lo/

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
CACanada13140.8M
6.9
7.5
20.7
22.638 cities (out of 131)
ILIsrael161M
30.3
24.6
62.5
59.19 cities (out of 16)
ISIceland30.2M
6.3
8.2
10
10.5
USUnited States37984.2M
9.7
12.9
16
21.3137 cities (out of 379)
BNBrunei40.2M
6.8
6.6
14.5
13.9
NZNew Zealand173M
7.6
6.8
15.4
14.11 city (out of 17)
AUAustralia1515.2M
6.3
5.7
12.7
12.83 cities (out of 15)
SESweden52.2M
9.2
8.7
17.3
16.5
ESSpain4616.9M
12.2
12.4
22.8
23.2
JPJapan2033.4M
9.2
10
20.2
2215 cities (out of 20)
FIFinland51.1M
6.8
7.3
11.5
12.3
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)
NONorway41.1M
9.5
10.9
18.3
20.3
IEIreland21.2M
8.5
8.8
17.5
17.8
GBUnited Kingdom3616.2M
13.3
14.7
19.6
20.8
LRLiberia20M
9.5
9.3
59
61.7
ECEcuador94.6M
17.4
24.1
36.3
50.61 city (out of 9)
MVMaldives10M
9-
20-1 city (out of 1)
BRBrazil4032.3M
19.1
21.7
36
40.52 cities (out of 40)
ITItaly4811.2M
22.7
24.1
32
33.2
INIndia124123.4M
46
60.6
102.1
129.17 cities (out of 124)
BTBhutan10.1M
10
10
23
23
MUMauritius40.3M
26.5
38.1
52.5
75.71 city (out of 4)
FRFrance8113.8M
17.4
17.4
24.2
24.61 city (out of 81)
THThailand298.3M
22.4
20.6
41.4
38.9
ZASouth Africa710.8M
25.6
24
53.4
472 cities (out of 7)
PLPoland5411.9M
26.9
26.9
37.2
38.3
DEGermany7123M
16.1
17
21.7
22.82 cities (out of 71)
LTLithuania20.5M
14
16
21
231 city (out of 2)
MTMalta10M
12
12
0-
RORomania144.2M
19.6
21
31.8
37.1
BYBelarus42.7M
15
15.7
22.8
23.9
COColombia1014.3M
23.1
24.5
41.2
43.61 city (out of 10)
BEBelgium72.3M
17.4
18.1
25.8
27
MCMonaco10M
13
13
20
20
JMJamaica30M
17
15.3
31.7
28.6
MXMexico918.7M
22.2
23.9
61.8
79.51 city (out of 9)
CLChile243.2M
24.9
26.8
52.8
55.74 cities (out of 24)
CHSwitzerland60.9M
15.3
15.1
22.7
22.2
CRCosta Rica40.1M
17.8
18.8
32.8
35.11 city (out of 4)
TRTurkey7133.4M
42.8
39.1
63.8
58.41 city (out of 71)
NLNetherlands123M
16.4
16.9
25.4
25.5
LULuxembourg10.1M
14
14
18
18
ATAustria52.3M
18.8
19.1
25.8
26.7
CZCzech Republic152.8M
23.1
21.9
31.5
29.31 city (out of 15)
DKDenmark31.5M
16.3
16.7
12
12
ADAndorra10M
16
16
24
24
LVLatvia10.7M
16
16
23
23
ARArgentina113.1M
16
16
30
30
GRGreece50.2M
21.8
21.4
28
23.6
SGSingapore13.5M
17
17
27
27
UYUruguay11.3M
18
18
27
27
KRSouth Korea3631.3M
23.4
23
51.1
50.63 cities (out of 36)
PYParaguay11.5M
18
18
0-
CNChina112263.3M
40.4
41.4
88
90.19 cities (out of 112)
MNMongolia81.1M
50.5
61.8
109.9
134.41 city (out of 8)
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
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
RURussia110.4M
22
22
33
33
HUHungary32.1M
25.3
26.7
33.3
33.1
SISlovenia20.4M
24
24.5
31
31
BOBolivia21.7M
32
32.5
58.5
59.3
TZTanzania10.3M
23
23
35
35
VEVenezuela23M
28
24
52
451 city (out of 2)
SASaudi Arabia12.9M
28
28
87
87
LKSri Lanka10.6M
28
28
64
64
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
PKPakistan413.4M
100.8
115.7
364.8
295.82 cities (out of 4)
AFAfghanistan23M
77
86
297
2601 city (out of 2)
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
  • AQI Scale: What do the colors and numbers mean?
  • Using Statistical Distances for Real-time Sensor Networks Validation
  • Nitrogen Dioxyde (NO2) in our atmosphere
  • ກ່ຽວກັບການວັດແທກຄຸນນະພາບອາກາດ ແລະມົນລະພິດ:

    ກ່ຽວກັບລະດັບຄຸນນະພາບອາກາດ

    -ດັດຊະນີຄຸນນະພາບອາກາດ (AQI) ຄ່າLevels of Health Concern
    0 - 50ດີຄຸນນະພາບທາງອາກາດຖືກພິຈາລະນາເປັນທີ່ພໍໃຈ, ແລະມົນລະພິດທາງອາກາດກໍ່ມີຄວາມສ່ຽງຫນ້ອຍຫຼືບໍ່ມີຄວາມສ່ຽງ
    51 -100ປານກາງຄຸນນະພາບທາງອາກາດແມ່ນການຮັບຮອງ; ຢ່າງໃດກໍ່ຕາມ, ສໍາລັບບາງມົນລະພິດອາດມີຄວາມກັງວົນກ່ຽວກັບສຸຂະພາບໃນລະດັບປານກາງສໍາລັບຈໍານວນຜູ້ທີ່ມີຄວາມເຄັ່ງຕຶງທີ່ຜິດປົກກະຕິກັບການມົນລະພິດທາງອາກາດ.
    101-150Unhealthy
    for sensitive groups
    ສະມາຊິກຂອງກຸ່ມທີ່ມີຄວາມອ່ອນໄຫວອາດຈະມີຜົນກະທົບຕໍ່ສຸຂະພາບ ປະຊາຊົນທົ່ວໄປບໍ່ໄດ້ຮັບຜົນກະທົບ.
    151-200ບໍ່ມີສຸຂະພາບດີທຸກໆຄົນອາດຈະເລີ່ມປະສົບຜົນກະທົບດ້ານສຸຂະພາບ; ສະມາຊິກຂອງກຸ່ມທີ່ມີຄວາມອ່ອນໄຫວອາດຈະມີຜົນກະທົບດ້ານສຸຂະພາບທີ່ຮ້າຍແຮງຫຼາຍ
    201-300Very
    Unhealthy
    ການເຕືອນໄພດ້ານສຸຂະພາບຂອງສະພາບສຸກເສີນ. ປະຊາກອນທັງຫມົດແມ່ນມັກຈະໄດ້ຮັບຜົນກະທົບ.
    300+ອັນຕະລາຍເຕືອນດ້ານສຸຂະພາບ: ທຸກໆຄົນອາດຈະມີຜົນກະທົບທາງສຸຂະພາບທີ່ຮ້າຍແຮງກວ່າເກົ່າ

    ເພື່ອຮູ້ເພີ່ມເຕີມກ່ຽວກັບຄຸນນະພາບອາກາດ ແລະມົນລະພິດ, ໃຫ້ກວດເບິ່ງ ຫົວຂໍ້ຄຸນນະພາບອາກາດຂອງ wikipedia ຫຼື ຄູ່ມື airnow ກ່ຽວກັບຄຸນນະພາບອາກາດ ແລະສຸຂະພາບຂອງເຈົ້າ .

    ສໍາລັບຄໍາແນະນໍາດ້ານສຸຂະພາບທີ່ເປັນປະໂຫຍດຫຼາຍຂອງທ່ານຫມໍປັກກິ່ງ Richard Saint Cyr MD, ກວດເບິ່ງ blog www.myhealthbeijing.com .


    ແຈ້ງການນໍາໃຊ້: ຂໍ້ມູນຄຸນນະພາບອາກາດທັງຫມົດແມ່ນບໍ່ຖືກຕ້ອງໃນເວລາທີ່ພິມເຜີຍແຜ່, ແລະເນື່ອງຈາກການຮັບປະກັນຄຸນນະພາບຂອງຂໍ້ມູນເຫຼົ່ານີ້ອາດຈະຖືກປັບປຸງ, ໂດຍບໍ່ມີຂໍ້ສັງເກດ, ໃນທຸກເວລາ. ໂຄງການດັດຊະນີທາງອາກາດໂລກໄດ້ໃຊ້ທັກສະແລະການດູແລທີ່ສົມເຫດສົມຜົນທັງຫມົດໃນການລວບລວມເນື້ອໃນຂອງຂໍ້ມູນນີ້ແລະພາຍໃຕ້ສະພາບການໃດກໍ່ຕາມທີມງານຂອງໂຄງການໂລກຂອງອາກາດທາງໂລກຫຼືຕົວແທນຂອງມັນຈະຮັບຜິດຊອບໃນສັນຍາ, ຄວາມເສຍຫາຍຫຼືຄວາມເສຍຫາຍໃດໆ, ເກີດຂື້ນໂດຍກົງຫຼືໂດຍທາງອ້ອມຈາກການສະຫນອງຂໍ້ມູນນີ້.



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