Air Pollution in Munich, Urban District: Real-time Air Quality Index and smog alert.
Pollution and air quality forecast for Munich, Urban District. Today is Friday, May 2, 2025. The following air pollution values have been recorded for Munich, Urban District:- nitrogen dioxide (NO2) - 44 (Moderate)
- particulate matter (PM10) suspended dust - 15 (Good)
- ozone (O3) - 26 (Good)
- carbon monoxide (CO) - 320 (Good)
- particulate matter (PM2.5) dust - 7 (Good)
What is the air quality in Munich, Urban District today? Is the air polluted in Munich, Urban District?. Is there smog?
How high is the level of NO2? (nitrogen dioxide (NO2))
44 (Moderate)
What is the level of PM10 today in Munich, Urban District? (particulate matter (PM10) suspended dust)
The current level of particulate matter PM10 in Munich, Urban District is:
15 (Good)
The highest PM10 values usually occur in month: 43 (January 2020).
The lowest value of particulate matter PM10 pollution in Munich, Urban District is usually recorded in: September (4.4).
How is the O3 level today in Munich, Urban District? (ozone (O3))
26 (Good)
How high is the CO level? (carbon monoxide (CO))
320 (Good)
What is the current level of PM2.5 in Munich, Urban District? (particulate matter (PM2.5) dust)
Today's PM2.5 level is:
7 (Good)
For comparison, the highest level of PM2.5 in Munich, Urban District in the last 7 days was: 39 (Friday, January 12, 2024) and the lowest: 7 (Monday, January 15, 2024).
The highest PM2.5 values were recorded: 31 (January 2020).
The lowest level of particulate matter PM2.5 pollution occurs in month: September (2.5).
Current data Wednesday, January 17, 2024, 9:00 AM
NO2 44 (Moderate)
PM10 15 (Good)
O3 26 (Good)
CO 320 (Good)
19 (Good)
PM2,5 7 (Good)
Data on air pollution from recent days in Munich, Urban District
index
2024-01-10
2024-01-11
2024-01-12
2024-01-13
2024-01-14
2024-01-15
2024-01-16
2024-01-17
o3
13
Good
7
Good
10
Good
23
Good
31
Good
57
Good
43
Good
26
Good
pm25
32
Moderate
33
Moderate
39
Unhealthy for Sensitive Groups
31
Moderate
22
Moderate
7
Good
8
Good
9
Good
pm10
38
Moderate
38
Moderate
46
Moderate
37
Moderate
30
Moderate
15
Good
13
Good
14
Good
no2
32
Good
45
Moderate
41
Moderate
35
Good
30
Good
23
Good
37
Good
38
Good
co
446
Good
540
Good
578
Good
502
Good
417
Good
323
Good
342
Good
312
Good
no
18
Good
27
Good
30
Good
18
Good
13
Good
12
Good
19
Good
11
Good
data source »
Air pollution in Munich, Urban District from September 2017 to May 2020
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
co
237 (Good)
255 (Good)
262 (Good)
269 (Good)
397 (Good)
177 (Good)
208 (Good)
89 (Good)
88 (Good)
162 (Good)
186 (Good)
311 (Good)
328 (Good)
339 (Good)
319 (Good)
370 (Good)
292 (Good)
349 (Good)
377 (Good)
357 (Good)
318 (Good)
308 (Good)
314 (Good)
304 (Good)
275 (Good)
352 (Good)
445 (Good)
428 (Good)
410 (Good)
350 (Good)
354 (Good)
370 (Good)
465 (Good)
pm25
9.2 (Good)
13 (Moderate)
11 (Good)
6.7 (Good)
31 (Moderate)
5.2 (Good)
6.6 (Good)
3 (Good)
2.5 (Good)
5.5 (Good)
8.1 (Good)
13 (Good)
8.1 (Good)
13 (Moderate)
10 (Good)
14 (Moderate)
13 (Good)
11 (Good)
15 (Moderate)
16 (Moderate)
12 (Good)
12 (Good)
13 (Moderate)
13 (Good)
12 (Good)
11 (Good)
21 (Moderate)
21 (Moderate)
10 (Good)
8.9 (Good)
11 (Good)
9.1 (Good)
15 (Moderate)
pm10
13 (Good)
21 (Moderate)
18 (Good)
11 (Good)
43 (Moderate)
8 (Good)
9.4 (Good)
5.1 (Good)
4.4 (Good)
8.3 (Good)
12 (Good)
20 (Good)
13 (Good)
20 (Moderate)
16 (Good)
24 (Moderate)
19 (Good)
15 (Good)
20 (Moderate)
25 (Moderate)
15 (Good)
17 (Good)
20 (Good)
17 (Good)
19 (Good)
19 (Good)
20 (Moderate)
26 (Moderate)
16 (Good)
14 (Good)
16 (Good)
17 (Good)
23 (Moderate)
no2
22 (Good)
26 (Good)
23 (Good)
20 (Good)
36 (Good)
15 (Good)
17 (Good)
7.9 (Good)
7.4 (Good)
13 (Good)
19 (Good)
29 (Good)
28 (Good)
30 (Good)
27 (Good)
41 (Moderate)
25 (Good)
26 (Good)
27 (Good)
32 (Good)
30 (Good)
34 (Good)
36 (Good)
33 (Good)
29 (Good)
34 (Good)
38 (Good)
39 (Good)
37 (Good)
39 (Good)
37 (Good)
38 (Good)
45 (Moderate)
o3
46 (Good)
53 (Good)
48 (Good)
52 (Good)
22 (Good)
17 (Good)
10 (Good)
8.2 (Good)
10 (Good)
24 (Good)
34 (Good)
39 (Good)
41 (Good)
47 (Good)
47 (Good)
22 (Good)
37 (Good)
26 (Good)
8.4 (Good)
16 (Good)
26 (Good)
42 (Good)
40 (Good)
38 (Good)
47 (Good)
58 (Good)
48 (Good)
35 (Good)
33 (Good)
34 (Good)
27 (Good)
31 (Good)
20 (Good)
so2
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
- (Good)
2.7 (Good)
3.3 (Good)
4.1 (Good)
5.1 (Good)
4.6 (Good)
4.6 (Good)
4.6 (Good)
4.1 (Good)
5.8 (Good)
data source »
Quality of life in Munich, Urban District
Green and Parks in the City
Munich, Urban District
85%
Luxembourg: 83%
Netherlands: 82%
Czech Republic: 77%
Belgium: 64%
Liechtenstein: 88%
particulate matter PM2.5
Munich, Urban District
12 (Good)
Pleasure of spending time in the city
Munich, Urban District
79%
Luxembourg: 85%
Netherlands: 88%
Czech Republic: 77%
Belgium: 64%
Liechtenstein: 94%
particulate matter PM10
Munich, Urban District
20 (Moderate)
Air Pollution
Munich, Urban District
26%
Luxembourg: 19%
Netherlands: 21%
Czech Republic: 35%
Belgium: 45%
Liechtenstein: 6.3%
Garbage Disposal
Munich, Urban District
81%
Luxembourg: 84%
Netherlands: 79%
Czech Republic: 74%
Belgium: 54%
Liechtenstein: 100%
Availability and quality of drinking water
Munich, Urban District
88%
Luxembourg: 83%
Netherlands: 92%
Czech Republic: 84%
Belgium: 70%
Liechtenstein: 100%
Cleanliness and tidiness
Munich, Urban District
80%
Luxembourg: 82%
Netherlands: 77%
Czech Republic: 65%
Belgium: 46%
Liechtenstein: 94%
Noise and Light pollution
Munich, Urban District
38%
Luxembourg: 29%
Netherlands: 31%
Czech Republic: 44%
Belgium: 54%
Liechtenstein: 19%
Water Pollution
Munich, Urban District
15%
Luxembourg: 19%
Netherlands: 17%
Czech Republic: 28%
Belgium: 42%
Liechtenstein: 0%
Source: Numbeo
München/Stachus
Wednesday, January 17, 2024, 9:00 AM
NO2 52 (Moderate)
nitrogen dioxide (NO2)
PM10 18 (Good)
particulate matter (PM10) suspended dust
O3 16 (Good)
ozone (O3)
CO 320 (Good)
carbon monoxide (CO)
24 (Good)
index_name_no
PM2,5 7.4 (Good)
particulate matter (PM2.5) dust
München/Lothstraße
Wednesday, January 17, 2024, 9:00 AM
O3 23 (Good)
ozone (O3)
PM2,5 7 (Good)
particulate matter (PM2.5) dust
PM10 14 (Good)
particulate matter (PM10) suspended dust
NO2 44 (Moderate)
nitrogen dioxide (NO2)
8.1 (Good)
index_name_no
München/Johanneskirchen
Wednesday, January 17, 2024, 9:00 AM
PM2,5 5.7 (Good)
particulate matter (PM2.5) dust
O3 47 (Good)
ozone (O3)
NO2 21 (Good)
nitrogen dioxide (NO2)
PM10 9.2 (Good)
particulate matter (PM10) suspended dust
2.1 (Good)
index_name_no
München/Landshuter Allee
Wednesday, January 17, 2024, 9:00 AM
PM10 18 (Good)
particulate matter (PM10) suspended dust
CO 320 (Good)
carbon monoxide (CO)
NO2 65 (Moderate)
nitrogen dioxide (NO2)
PM2,5 8.1 (Good)
particulate matter (PM2.5) dust
49 (Good)
index_name_no
München/Allach
Wednesday, January 17, 2024, 9:00 AM
13 (Good)
index_name_no
NO2 39 (Good)
nitrogen dioxide (NO2)
O3 17 (Good)
ozone (O3)
München/Stachus
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
o3
27
40
46
26
19
7.7
4.5
13
pm25
9.1
6.7
9.9
24
31
40
32
30
pm10
14
12
21
36
41
57
40
39
no2
38
35
26
31
36
44
50
34
co
306
297
293
372
462
537
509
434
no
9.3
9.4
7.9
8.7
13
28
28
19
München/Lothstraße
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
o3
33
43
57
31
24
10
6.1
13
pm10
12
9.5
8
22
32
40
36
36
no
2.8
5.4
4.3
5.5
5.3
15
17
9.7
no2
32
34
19
28
30
38
44
30
pm25
8.2
6.4
6.3
20
30
38
32
33
München/Johanneskirchen
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
pm25
7.8
9.1
5.2
21
31
37
31
31
no2
28
28
12
25
34
39
41
27
no
0.63
3.4
0.59
2.9
14
9.9
10
6.9
pm10
11
11
5.8
22
34
40
34
36
o3
33
47
64
35
23
11
10
17
München/Landshuter Allee
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
pm10
18
18
25
38
40
47
41
40
no2
54
60
47
47
50
53
55
40
no
29
66
49
47
56
83
68
40
pm25
10
8
7.7
24
32
40
36
34
co
318
386
352
462
543
618
572
457
München/Allach
index
2024-01-17
2024-01-16
2024-01-15
2024-01-14
2024-01-13
2024-01-12
2024-01-11
2024-01-10
no
15
11
0.72
2.8
1.9
12
9.8
15
no2
37
28
13
19
24
30
33
29
o3
12
40
60
32
24
11
9.2
9.8
DEBY037
2017-09 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm25
9
13
12
8.2
32
6
7.4
3.4
2.8
5.8
8.6
14
9.1
14
11
15
14
13
17
17
12
13
13
13
14
12
21
22
11
9.7
11
8.9
16
pm10
14
23
19
14
42
9.6
11
5.8
5
9.1
14
22
14
23
18
26
21
18
23
28
22
22
26
21
21
22
22
26
18
15
17
19
25
co
221
249
245
280
373
180
204
92
90
169
190
324
335
357
347
342
270
322
338
303
257
235
225
236
236
285
382
376
356
333
323
339
437
so2
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
2.7
3.3
4.1
5.1
4.6
4.6
4.6
4.1
5.8
no2
21
24
23
24
39
18
20
9.8
9.5
15
23
34
33
35
31
41
28
28
28
38
35
38
43
40
38
44
54
47
45
49
44
47
56
o3
49
58
48
45
18
15
7.8
7.3
9.9
23
33
42
38
45
41
19
29
20
6.8
14
21
37
39
35
43
50
39
29
26
25
21
23
22
DEBY039
2017-09 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm25
7.7
12
10
5.3
32
4.3
5.8
2.6
2.4
5.5
7.7
12
7
12
9.5
13
12
9.7
15
16
12
12
13
12
12
11
19
21
11
8.1
9.6
9.6
15
pm10
11
18
16
8.4
43
6.4
8
4.5
3.5
6.9
10
17
9.2
17
14
21
16
13
18
23
18
19
19
17
18
18
17
22
14
10
14
15
22
co
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
268
278
265
360
no2
17
22
20
18
35
15
17
7.1
6.2
10
15
23
22
24
23
38
24
25
26
32
27
28
30
26
22
21
22
29
33
33
32
31
41
o3
53
64
53
55
25
19
11
8.8
11
28
40
49
47
55
52
28
39
28
10
19
30
49
47
43
52
60
50
36
32
33
26
31
21
DEBY089
2017-09 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm25
11
16
12
6.5
23
5.2
6.1
2.5
2.2
4.8
7.7
11
7
13
10
14
12
11
14
12
10
10
11
12
10
9.7
20
20
9.1
7.6
9.6
7.9
13
pm10
13
22
16
8.8
29
6.2
7.3
4
3.8
7.3
12
18
10
19
14
19
14
13
17
19
3.3
9.3
15
5.2
13
15
15
22
12
8.4
12
12
19
no2
18
24
16
14
30
12
13
5.5
4.3
6.4
10
18
18
19
20
34
19
21
20
21
16
20
20
18
18
18
20
25
22
22
22
19
25
o3
40
47
47
54
22
18
11
8.5
10
24
32
34
42
46
47
23
41
28
9.3
17
30
42
39
40
47
64
53
40
38
40
32
36
19
DEBY115
2017-09 2020-05
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
pm25
9.2
13
11
6.6
37
5.3
7
3.2
2.8
5.9
8.5
14
9.4
14
11
16
14
11
17
18
13
14
15
14
14
12
23
23
11
10
12
10
17
pm10
16
23
20
14
56
9.9
12
6.1
5.3
9.8
12
22
17
23
20
31
24
18
22
27
19
20
19
23
22
23
27
35
21
20
20
20
28
co
252
261
279
258
420
174
211
86
87
154
181
297
321
320
290
397
313
376
415
411
378
380
402
372
313
419
507
479
463
450
460
506
599
no2
36
35
33
30
48
20
23
12
12
24
32
48
48
45
42
56
40
38
35
48
52
60
64
57
47
63
69
65
61
67
63
72
75
DEBY189
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
2018-10
2018-09
2018-08
2018-07
2018-06
2018-05
2018-04
2018-03
2018-02
2018-01
2017-12
2017-11
2017-10
2017-09
no2
19
26
21
14
28
12
13
5.5
5.2
8.5
14
24
21
29
21
34
17
17
26
23
20
24
25
22
21
22
25
29
25
23
23
19
29
o3
42
43
43
55
23
17
11
8.2
10
23
32
30
39
44
47
19
39
28
7.1
15
23
38
34
35
44
57
50
35
35
38
30
34
20
* Pollution data source:
https://openaq.org
(EEA Germany)
The data is licensed under CC-By 4.0
NO2 44 (Moderate)
PM10 15 (Good)
O3 26 (Good)
CO 320 (Good)
19 (Good)
PM2,5 7 (Good)
Data on air pollution from recent days in Munich, Urban District
| index | 2024-01-10 | 2024-01-11 | 2024-01-12 | 2024-01-13 | 2024-01-14 | 2024-01-15 | 2024-01-16 | 2024-01-17 |
|---|---|---|---|---|---|---|---|---|
| o3 | 13 Good |
7 Good |
10 Good |
23 Good |
31 Good |
57 Good |
43 Good |
26 Good |
| pm25 | 32 Moderate |
33 Moderate |
39 Unhealthy for Sensitive Groups |
31 Moderate |
22 Moderate |
7 Good |
8 Good |
9 Good |
| pm10 | 38 Moderate |
38 Moderate |
46 Moderate |
37 Moderate |
30 Moderate |
15 Good |
13 Good |
14 Good |
| no2 | 32 Good |
45 Moderate |
41 Moderate |
35 Good |
30 Good |
23 Good |
37 Good |
38 Good |
| co | 446 Good |
540 Good |
578 Good |
502 Good |
417 Good |
323 Good |
342 Good |
312 Good |
| no | 18 Good |
27 Good |
30 Good |
18 Good |
13 Good |
12 Good |
19 Good |
11 Good |
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| co | 237 (Good) | 255 (Good) | 262 (Good) | 269 (Good) | 397 (Good) | 177 (Good) | 208 (Good) | 89 (Good) | 88 (Good) | 162 (Good) | 186 (Good) | 311 (Good) | 328 (Good) | 339 (Good) | 319 (Good) | 370 (Good) | 292 (Good) | 349 (Good) | 377 (Good) | 357 (Good) | 318 (Good) | 308 (Good) | 314 (Good) | 304 (Good) | 275 (Good) | 352 (Good) | 445 (Good) | 428 (Good) | 410 (Good) | 350 (Good) | 354 (Good) | 370 (Good) | 465 (Good) |
| pm25 | 9.2 (Good) | 13 (Moderate) | 11 (Good) | 6.7 (Good) | 31 (Moderate) | 5.2 (Good) | 6.6 (Good) | 3 (Good) | 2.5 (Good) | 5.5 (Good) | 8.1 (Good) | 13 (Good) | 8.1 (Good) | 13 (Moderate) | 10 (Good) | 14 (Moderate) | 13 (Good) | 11 (Good) | 15 (Moderate) | 16 (Moderate) | 12 (Good) | 12 (Good) | 13 (Moderate) | 13 (Good) | 12 (Good) | 11 (Good) | 21 (Moderate) | 21 (Moderate) | 10 (Good) | 8.9 (Good) | 11 (Good) | 9.1 (Good) | 15 (Moderate) |
| pm10 | 13 (Good) | 21 (Moderate) | 18 (Good) | 11 (Good) | 43 (Moderate) | 8 (Good) | 9.4 (Good) | 5.1 (Good) | 4.4 (Good) | 8.3 (Good) | 12 (Good) | 20 (Good) | 13 (Good) | 20 (Moderate) | 16 (Good) | 24 (Moderate) | 19 (Good) | 15 (Good) | 20 (Moderate) | 25 (Moderate) | 15 (Good) | 17 (Good) | 20 (Good) | 17 (Good) | 19 (Good) | 19 (Good) | 20 (Moderate) | 26 (Moderate) | 16 (Good) | 14 (Good) | 16 (Good) | 17 (Good) | 23 (Moderate) |
| no2 | 22 (Good) | 26 (Good) | 23 (Good) | 20 (Good) | 36 (Good) | 15 (Good) | 17 (Good) | 7.9 (Good) | 7.4 (Good) | 13 (Good) | 19 (Good) | 29 (Good) | 28 (Good) | 30 (Good) | 27 (Good) | 41 (Moderate) | 25 (Good) | 26 (Good) | 27 (Good) | 32 (Good) | 30 (Good) | 34 (Good) | 36 (Good) | 33 (Good) | 29 (Good) | 34 (Good) | 38 (Good) | 39 (Good) | 37 (Good) | 39 (Good) | 37 (Good) | 38 (Good) | 45 (Moderate) |
| o3 | 46 (Good) | 53 (Good) | 48 (Good) | 52 (Good) | 22 (Good) | 17 (Good) | 10 (Good) | 8.2 (Good) | 10 (Good) | 24 (Good) | 34 (Good) | 39 (Good) | 41 (Good) | 47 (Good) | 47 (Good) | 22 (Good) | 37 (Good) | 26 (Good) | 8.4 (Good) | 16 (Good) | 26 (Good) | 42 (Good) | 40 (Good) | 38 (Good) | 47 (Good) | 58 (Good) | 48 (Good) | 35 (Good) | 33 (Good) | 34 (Good) | 27 (Good) | 31 (Good) | 20 (Good) |
| so2 | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | - (Good) | 2.7 (Good) | 3.3 (Good) | 4.1 (Good) | 5.1 (Good) | 4.6 (Good) | 4.6 (Good) | 4.6 (Good) | 4.1 (Good) | 5.8 (Good) |
Green and Parks in the City
Munich, Urban District 85%
Luxembourg: 83% Netherlands: 82% Czech Republic: 77% Belgium: 64% Liechtenstein: 88%particulate matter PM2.5
Munich, Urban District 12 (Good)
Pleasure of spending time in the city
Munich, Urban District 79%
Luxembourg: 85% Netherlands: 88% Czech Republic: 77% Belgium: 64% Liechtenstein: 94%particulate matter PM10
Munich, Urban District 20 (Moderate)
Air Pollution
Munich, Urban District 26%
Luxembourg: 19% Netherlands: 21% Czech Republic: 35% Belgium: 45% Liechtenstein: 6.3%Garbage Disposal
Munich, Urban District 81%
Luxembourg: 84% Netherlands: 79% Czech Republic: 74% Belgium: 54% Liechtenstein: 100%Availability and quality of drinking water
Munich, Urban District 88%
Luxembourg: 83% Netherlands: 92% Czech Republic: 84% Belgium: 70% Liechtenstein: 100%Cleanliness and tidiness
Munich, Urban District 80%
Luxembourg: 82% Netherlands: 77% Czech Republic: 65% Belgium: 46% Liechtenstein: 94%Noise and Light pollution
Munich, Urban District 38%
Luxembourg: 29% Netherlands: 31% Czech Republic: 44% Belgium: 54% Liechtenstein: 19%Water Pollution
Munich, Urban District 15%
Luxembourg: 19% Netherlands: 17% Czech Republic: 28% Belgium: 42% Liechtenstein: 0%NO2 52 (Moderate)
nitrogen dioxide (NO2)PM10 18 (Good)
particulate matter (PM10) suspended dustO3 16 (Good)
ozone (O3)CO 320 (Good)
carbon monoxide (CO)24 (Good)
index_name_noPM2,5 7.4 (Good)
particulate matter (PM2.5) dustO3 23 (Good)
ozone (O3)PM2,5 7 (Good)
particulate matter (PM2.5) dustPM10 14 (Good)
particulate matter (PM10) suspended dustNO2 44 (Moderate)
nitrogen dioxide (NO2)8.1 (Good)
index_name_noPM2,5 5.7 (Good)
particulate matter (PM2.5) dustO3 47 (Good)
ozone (O3)NO2 21 (Good)
nitrogen dioxide (NO2)PM10 9.2 (Good)
particulate matter (PM10) suspended dust2.1 (Good)
index_name_noPM10 18 (Good)
particulate matter (PM10) suspended dustCO 320 (Good)
carbon monoxide (CO)NO2 65 (Moderate)
nitrogen dioxide (NO2)PM2,5 8.1 (Good)
particulate matter (PM2.5) dust49 (Good)
index_name_no13 (Good)
index_name_noNO2 39 (Good)
nitrogen dioxide (NO2)O3 17 (Good)
ozone (O3)München/Stachus
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| o3 | 27 | 40 | 46 | 26 | 19 | 7.7 | 4.5 | 13 |
| pm25 | 9.1 | 6.7 | 9.9 | 24 | 31 | 40 | 32 | 30 |
| pm10 | 14 | 12 | 21 | 36 | 41 | 57 | 40 | 39 |
| no2 | 38 | 35 | 26 | 31 | 36 | 44 | 50 | 34 |
| co | 306 | 297 | 293 | 372 | 462 | 537 | 509 | 434 |
| no | 9.3 | 9.4 | 7.9 | 8.7 | 13 | 28 | 28 | 19 |
München/Lothstraße
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| o3 | 33 | 43 | 57 | 31 | 24 | 10 | 6.1 | 13 |
| pm10 | 12 | 9.5 | 8 | 22 | 32 | 40 | 36 | 36 |
| no | 2.8 | 5.4 | 4.3 | 5.5 | 5.3 | 15 | 17 | 9.7 |
| no2 | 32 | 34 | 19 | 28 | 30 | 38 | 44 | 30 |
| pm25 | 8.2 | 6.4 | 6.3 | 20 | 30 | 38 | 32 | 33 |
München/Johanneskirchen
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| pm25 | 7.8 | 9.1 | 5.2 | 21 | 31 | 37 | 31 | 31 |
| no2 | 28 | 28 | 12 | 25 | 34 | 39 | 41 | 27 |
| no | 0.63 | 3.4 | 0.59 | 2.9 | 14 | 9.9 | 10 | 6.9 |
| pm10 | 11 | 11 | 5.8 | 22 | 34 | 40 | 34 | 36 |
| o3 | 33 | 47 | 64 | 35 | 23 | 11 | 10 | 17 |
München/Landshuter Allee
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| pm10 | 18 | 18 | 25 | 38 | 40 | 47 | 41 | 40 |
| no2 | 54 | 60 | 47 | 47 | 50 | 53 | 55 | 40 |
| no | 29 | 66 | 49 | 47 | 56 | 83 | 68 | 40 |
| pm25 | 10 | 8 | 7.7 | 24 | 32 | 40 | 36 | 34 |
| co | 318 | 386 | 352 | 462 | 543 | 618 | 572 | 457 |
München/Allach
| index | 2024-01-17 | 2024-01-16 | 2024-01-15 | 2024-01-14 | 2024-01-13 | 2024-01-12 | 2024-01-11 | 2024-01-10 |
|---|---|---|---|---|---|---|---|---|
| no | 15 | 11 | 0.72 | 2.8 | 1.9 | 12 | 9.8 | 15 |
| no2 | 37 | 28 | 13 | 19 | 24 | 30 | 33 | 29 |
| o3 | 12 | 40 | 60 | 32 | 24 | 11 | 9.2 | 9.8 |
DEBY037
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 9 | 13 | 12 | 8.2 | 32 | 6 | 7.4 | 3.4 | 2.8 | 5.8 | 8.6 | 14 | 9.1 | 14 | 11 | 15 | 14 | 13 | 17 | 17 | 12 | 13 | 13 | 13 | 14 | 12 | 21 | 22 | 11 | 9.7 | 11 | 8.9 | 16 |
| pm10 | 14 | 23 | 19 | 14 | 42 | 9.6 | 11 | 5.8 | 5 | 9.1 | 14 | 22 | 14 | 23 | 18 | 26 | 21 | 18 | 23 | 28 | 22 | 22 | 26 | 21 | 21 | 22 | 22 | 26 | 18 | 15 | 17 | 19 | 25 |
| co | 221 | 249 | 245 | 280 | 373 | 180 | 204 | 92 | 90 | 169 | 190 | 324 | 335 | 357 | 347 | 342 | 270 | 322 | 338 | 303 | 257 | 235 | 225 | 236 | 236 | 285 | 382 | 376 | 356 | 333 | 323 | 339 | 437 |
| so2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.7 | 3.3 | 4.1 | 5.1 | 4.6 | 4.6 | 4.6 | 4.1 | 5.8 |
| no2 | 21 | 24 | 23 | 24 | 39 | 18 | 20 | 9.8 | 9.5 | 15 | 23 | 34 | 33 | 35 | 31 | 41 | 28 | 28 | 28 | 38 | 35 | 38 | 43 | 40 | 38 | 44 | 54 | 47 | 45 | 49 | 44 | 47 | 56 |
| o3 | 49 | 58 | 48 | 45 | 18 | 15 | 7.8 | 7.3 | 9.9 | 23 | 33 | 42 | 38 | 45 | 41 | 19 | 29 | 20 | 6.8 | 14 | 21 | 37 | 39 | 35 | 43 | 50 | 39 | 29 | 26 | 25 | 21 | 23 | 22 |
DEBY039
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 7.7 | 12 | 10 | 5.3 | 32 | 4.3 | 5.8 | 2.6 | 2.4 | 5.5 | 7.7 | 12 | 7 | 12 | 9.5 | 13 | 12 | 9.7 | 15 | 16 | 12 | 12 | 13 | 12 | 12 | 11 | 19 | 21 | 11 | 8.1 | 9.6 | 9.6 | 15 |
| pm10 | 11 | 18 | 16 | 8.4 | 43 | 6.4 | 8 | 4.5 | 3.5 | 6.9 | 10 | 17 | 9.2 | 17 | 14 | 21 | 16 | 13 | 18 | 23 | 18 | 19 | 19 | 17 | 18 | 18 | 17 | 22 | 14 | 10 | 14 | 15 | 22 |
| co | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 268 | 278 | 265 | 360 |
| no2 | 17 | 22 | 20 | 18 | 35 | 15 | 17 | 7.1 | 6.2 | 10 | 15 | 23 | 22 | 24 | 23 | 38 | 24 | 25 | 26 | 32 | 27 | 28 | 30 | 26 | 22 | 21 | 22 | 29 | 33 | 33 | 32 | 31 | 41 |
| o3 | 53 | 64 | 53 | 55 | 25 | 19 | 11 | 8.8 | 11 | 28 | 40 | 49 | 47 | 55 | 52 | 28 | 39 | 28 | 10 | 19 | 30 | 49 | 47 | 43 | 52 | 60 | 50 | 36 | 32 | 33 | 26 | 31 | 21 |
DEBY089
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 11 | 16 | 12 | 6.5 | 23 | 5.2 | 6.1 | 2.5 | 2.2 | 4.8 | 7.7 | 11 | 7 | 13 | 10 | 14 | 12 | 11 | 14 | 12 | 10 | 10 | 11 | 12 | 10 | 9.7 | 20 | 20 | 9.1 | 7.6 | 9.6 | 7.9 | 13 |
| pm10 | 13 | 22 | 16 | 8.8 | 29 | 6.2 | 7.3 | 4 | 3.8 | 7.3 | 12 | 18 | 10 | 19 | 14 | 19 | 14 | 13 | 17 | 19 | 3.3 | 9.3 | 15 | 5.2 | 13 | 15 | 15 | 22 | 12 | 8.4 | 12 | 12 | 19 |
| no2 | 18 | 24 | 16 | 14 | 30 | 12 | 13 | 5.5 | 4.3 | 6.4 | 10 | 18 | 18 | 19 | 20 | 34 | 19 | 21 | 20 | 21 | 16 | 20 | 20 | 18 | 18 | 18 | 20 | 25 | 22 | 22 | 22 | 19 | 25 |
| o3 | 40 | 47 | 47 | 54 | 22 | 18 | 11 | 8.5 | 10 | 24 | 32 | 34 | 42 | 46 | 47 | 23 | 41 | 28 | 9.3 | 17 | 30 | 42 | 39 | 40 | 47 | 64 | 53 | 40 | 38 | 40 | 32 | 36 | 19 |
DEBY115
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm25 | 9.2 | 13 | 11 | 6.6 | 37 | 5.3 | 7 | 3.2 | 2.8 | 5.9 | 8.5 | 14 | 9.4 | 14 | 11 | 16 | 14 | 11 | 17 | 18 | 13 | 14 | 15 | 14 | 14 | 12 | 23 | 23 | 11 | 10 | 12 | 10 | 17 |
| pm10 | 16 | 23 | 20 | 14 | 56 | 9.9 | 12 | 6.1 | 5.3 | 9.8 | 12 | 22 | 17 | 23 | 20 | 31 | 24 | 18 | 22 | 27 | 19 | 20 | 19 | 23 | 22 | 23 | 27 | 35 | 21 | 20 | 20 | 20 | 28 |
| co | 252 | 261 | 279 | 258 | 420 | 174 | 211 | 86 | 87 | 154 | 181 | 297 | 321 | 320 | 290 | 397 | 313 | 376 | 415 | 411 | 378 | 380 | 402 | 372 | 313 | 419 | 507 | 479 | 463 | 450 | 460 | 506 | 599 |
| no2 | 36 | 35 | 33 | 30 | 48 | 20 | 23 | 12 | 12 | 24 | 32 | 48 | 48 | 45 | 42 | 56 | 40 | 38 | 35 | 48 | 52 | 60 | 64 | 57 | 47 | 63 | 69 | 65 | 61 | 67 | 63 | 72 | 75 |
DEBY189
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 | 2018-10 | 2018-09 | 2018-08 | 2018-07 | 2018-06 | 2018-05 | 2018-04 | 2018-03 | 2018-02 | 2018-01 | 2017-12 | 2017-11 | 2017-10 | 2017-09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 19 | 26 | 21 | 14 | 28 | 12 | 13 | 5.5 | 5.2 | 8.5 | 14 | 24 | 21 | 29 | 21 | 34 | 17 | 17 | 26 | 23 | 20 | 24 | 25 | 22 | 21 | 22 | 25 | 29 | 25 | 23 | 23 | 19 | 29 |
| o3 | 42 | 43 | 43 | 55 | 23 | 17 | 11 | 8.2 | 10 | 23 | 32 | 30 | 39 | 44 | 47 | 19 | 39 | 28 | 7.1 | 15 | 23 | 38 | 34 | 35 | 44 | 57 | 50 | 35 | 35 | 38 | 30 | 34 | 20 |