Air Pollution in Kuyavian-Pomeranian: Real-time Air Quality Index and smog alert.
Pollution and air quality forecast for Kuyavian-Pomeranian. Today is Tuesday, April 16, 2024. The following air pollution values have been recorded for Kuyavian-Pomeranian:- particulate matter (PM2.5) dust - 32 (Moderate)
- nitrogen dioxide (NO2) - 1 (Good)
- ozone (O3) - 3 (Good)
- sulfur dioxide (SO2) - 0 (Good)
- particulate matter (PM10) suspended dust - 25 (Moderate)
- carbon monoxide (CO) - 100 (Good)
What is the air quality in Kuyavian-Pomeranian today? Is the air polluted in Kuyavian-Pomeranian?. Is there smog?
What is the current level of PM2.5 in Kuyavian-Pomeranian? (particulate matter (PM2.5) dust)
Today's PM2.5 level is:
32 (Moderate)
For comparison, the highest level of PM2.5 in Kuyavian-Pomeranian in the last 7 days was: 11 (Friday, May 27, 2022) and the lowest: 11 (Friday, May 27, 2022).
The highest PM2.5 values were recorded: 39 (November 2018).
The lowest level of particulate matter PM2.5 pollution occurs in month: July (10).
How high is the level of NO2? (nitrogen dioxide (NO2))
1 (Good)
How is the O3 level today in Kuyavian-Pomeranian? (ozone (O3))
3 (Good)
What is the level of SO2 pollution? (sulfur dioxide (SO2))
0 (Good)
What is the level of PM10 today in Kuyavian-Pomeranian? (particulate matter (PM10) suspended dust)
The current level of particulate matter PM10 in Kuyavian-Pomeranian is:
25 (Moderate)
The highest PM10 values usually occur in month: 48 (November 2018).
The lowest value of particulate matter PM10 pollution in Kuyavian-Pomeranian is usually recorded in: May (17).
How high is the CO level? (carbon monoxide (CO))
100 (Good)
Current data Monday, April 15, 2024, 7:00 AM
PM2,5 32 (Moderate)
NO2 1 (Good)
O3 3 (Good)
SO2 0 (Good)
PM10 25 (Moderate)
CO 100 (Good)
Data on air pollution from recent days in Kuyavian-Pomeranian
index
2022-05-27
2024-04-08
2024-04-09
2024-04-10
2024-04-11
2024-04-12
2024-04-13
2024-04-14
2024-04-15
pm25
11
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
no2
8
Good
15
Good
28
Good
6
Good
12
Good
11
Good
7
Good
6
Good
20
Good
o3
9
Good
59
Good
40
Good
63
Good
65
Good
60
Good
62
Good
69
Good
35
Good
so2
8
Good
1
Good
1
Good
1
Good
1
Good
1
Good
1
Good
2
Good
2
Good
pm10
30
Moderate
21
Moderate
22
Moderate
13
Good
10
Good
11
Good
17
Good
19
Good
12
Good
co
11
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
-
Good
data source »
Air pollution in Kuyavian-Pomeranian from November 2018 to December 2019
index
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
2020-05
2020-04
2020-03
2020-02
2020-01
2018-12
2018-11
no2
15 (Good)
14 (Good)
16 (Good)
13 (Good)
16 (Good)
9.7 (Good)
13 (Good)
14 (Good)
14 (Good)
14 (Good)
18 (Good)
16 (Good)
12 (Good)
12 (Good)
15 (Good)
13 (Good)
15 (Good)
17 (Good)
18 (Good)
o3
32 (Good)
22 (Good)
30 (Good)
45 (Good)
59 (Good)
54 (Good)
73 (Moderate)
57 (Good)
74 (Moderate)
49 (Good)
41 (Good)
37 (Good)
64 (Good)
70 (Good)
55 (Good)
52 (Good)
33 (Good)
27 (Good)
25 (Good)
so2
4 (Good)
3.9 (Good)
3.7 (Good)
2.7 (Good)
3.4 (Good)
3.2 (Good)
3.1 (Good)
2.5 (Good)
4 (Good)
3.6 (Good)
5.2 (Good)
5.6 (Good)
2.7 (Good)
3.9 (Good)
4.5 (Good)
3.1 (Good)
3.5 (Good)
5 (Good)
5.7 (Good)
co
562 (Good)
536 (Good)
520 (Good)
420 (Good)
421 (Good)
372 (Good)
341 (Good)
463 (Good)
406 (Good)
426 (Good)
562 (Good)
538 (Good)
348 (Good)
437 (Good)
539 (Good)
452 (Good)
554 (Good)
647 (Good)
537 (Good)
bc
2.2 (Good)
1.6 (Good)
1.1 (Good)
0.41 (Good)
0.33 (Good)
0.25 (Good)
0.19 (Good)
0.39 (Good)
0.56 (Good)
0.8 (Good)
1.2 (Good)
1.5 (Good)
0.46 (Good)
0.85 (Good)
1.6 (Good)
0.99 (Good)
1.9 (Good)
1.9 (Good)
2.4 (Good)
pm10
28 (Moderate)
31 (Moderate)
29 (Moderate)
20 (Good)
21 (Moderate)
19 (Good)
26 (Moderate)
20 (Good)
34 (Moderate)
22 (Moderate)
31 (Moderate)
31 (Moderate)
17 (Good)
28 (Moderate)
35 (Moderate)
21 (Moderate)
29 (Moderate)
31 (Moderate)
48 (Moderate)
pm25
25 (Moderate)
27 (Moderate)
24 (Moderate)
15 (Moderate)
13 (Moderate)
10 (Good)
15 (Moderate)
18 (Moderate)
22 (Moderate)
20 (Moderate)
31 (Moderate)
33 (Moderate)
13 (Moderate)
16 (Moderate)
28 (Moderate)
17 (Moderate)
26 (Moderate)
29 (Moderate)
39 (Unhealthy for Sensitive Groups)
data source »
Quality of life in Kuyavian-Pomeranian
Green and Parks in the City
Kuyavian-Pomeranian
65%
Czech Republic: 77%
Slovakia: 58%
Lithuania: 86%
Hungary: 59%
Austria: 78%
particulate matter PM2.5
Kuyavian-Pomeranian
21 (Moderate)
Pleasure of spending time in the city
Kuyavian-Pomeranian
54%
Czech Republic: 77%
Slovakia: 73%
Lithuania: 83%
Hungary: 65%
Austria: 84%
particulate matter PM10
Kuyavian-Pomeranian
32 (Moderate)
Air Pollution
Kuyavian-Pomeranian
55%
Czech Republic: 35%
Slovakia: 35%
Lithuania: 26%
Hungary: 49%
Austria: 21%
Garbage Disposal
Kuyavian-Pomeranian
71%
Czech Republic: 74%
Slovakia: 65%
Lithuania: 71%
Hungary: 65%
Austria: 84%
Availability and quality of drinking water
Kuyavian-Pomeranian
73%
Czech Republic: 84%
Slovakia: 87%
Lithuania: 91%
Hungary: 80%
Austria: 91%
Cleanliness and tidiness
Kuyavian-Pomeranian
65%
Czech Republic: 65%
Slovakia: 57%
Lithuania: 78%
Hungary: 52%
Austria: 82%
Noise and Light pollution
Kuyavian-Pomeranian
41%
Czech Republic: 44%
Slovakia: 41%
Lithuania: 30%
Hungary: 45%
Austria: 34%
Water Pollution
Kuyavian-Pomeranian
43%
Czech Republic: 28%
Slovakia: 27%
Lithuania: 24%
Hungary: 30%
Austria: 14%
Source: Numbeo
Bory Tucholskie
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Bydgoszcz Plac Poznański
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Bydgoszcz Warszawska
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Chełmno, Łunawska 3A
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Ciechocinek
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Grudziądz Airpointer
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Inowrocław Airpointer
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Koniczynka
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Toruń Airpointer
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Toruń POLICJA
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Toruń, KASZOWNIK
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Włocławek OKRZEI
Friday, May 27, 2022, 3:00 PM
PM2,5 32 (Moderate)
particulate matter (PM2.5) dust
NO2 0.02 (Good)
nitrogen dioxide (NO2)
O3 0.03 (Good)
ozone (O3)
SO2 0 (Good)
sulfur dioxide (SO2)
PM10 25 (Moderate)
particulate matter (PM10) suspended dust
CO 100 (Good)
carbon monoxide (CO)
Włocławek, ul. Kaliska
Monday, April 15, 2024, 7:00 AM
O3 42 (Good)
ozone (O3)
NO2 18 (Good)
nitrogen dioxide (NO2)
SO2 2 (Good)
sulfur dioxide (SO2)
PM10 20 (Good)
particulate matter (PM10) suspended dust
Bory Tucholskie
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Bydgoszcz Plac Poznański
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Bydgoszcz Warszawska
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Chełmno, Łunawska 3A
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Ciechocinek
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Grudziądz Airpointer
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Inowrocław Airpointer
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Koniczynka
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Toruń Airpointer
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Toruń POLICJA
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Toruń, KASZOWNIK
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Włocławek OKRZEI
index
2022-05-27
pm25
11
no2
8.2
o3
9.3
so2
8.4
pm10
30
co
11
Włocławek, ul. Kaliska
index
2024-04-15
2024-04-14
2024-04-13
2024-04-12
2024-04-11
2024-04-10
2024-04-09
2024-04-08
no2
20
5.7
7.4
11
12
6.3
28
15
pm10
12
19
17
11
10
13
22
21
so2
2.1
1.6
0.97
1.3
1.3
0.85
1.3
0.97
o3
35
69
62
60
65
63
40
59
Airponter Wieniec Zdrój
index
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-06
2019-05
2019-04
2019-03
2019-02
2019-01
no2
11
12
12
9.8
11
6.9
8.2
8.8
8.1
9.8
13
15
so2
5.9
4.6
2.5
1.1
3.6
2.4
2.9
1.3
2.9
1.5
3.9
7.8
o3
31
23
26
42
64
61
81
58
79
58
42
34
co
622
645
641
504
128
129
98
313
412
304
447
510
Bory Tucholskie
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
bc
0.64
1.6
2.7
1.5
2.4
3.6
3.7
2
0.13
0.28
0.47
0.13
0.18
0.26
0.44
0.7
1.2
1.2
2.1
co
277
242
287
284
335
332
366
314
212
285
194
248
258
203
292
337
181
391
370
no2
2.9
2.6
4.9
4
6.9
7.2
7.5
4.2
3.9
5.5
2.2
3.3
3.9
4
3.7
6.6
6.4
8.2
8.7
o3
69
76
63
59
41
39
29
40
51
53
56
80
63
75
55
48
46
36
30
so2
2.8
3.4
2.9
3
4.3
4.1
3.7
5.9
5.3
6.3
7
5.8
5.8
3.4
7.5
8.3
10
7.5
5
Bydgoszcz Plac Poznański
2018-11 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
bc
0.13
0.35
0.71
0.39
0.58
0.67
0.69
0.67
0.21
0.13
0.11
0.14
0.44
0.61
-
2.1
2.6
3.8
4.8
co
311
481
592
473
553
606
614
491
583
554
535
514
469
459
508
643
453
702
1
no2
17
24
29
25
26
25
24
29
24
29
19
25
32
35
25
28
25
22
25
pm25
12
17
28
15
23
24
26
20
12
14
10
14
13
17
14
25
24
23
38
pm10
21
37
42
23
29
32
38
38
26
25
18
25
25
47
31
43
36
34
56
so2
-
-
-
-
-
2.8
4.2
3.3
1.5
2.6
2.9
1.7
1.5
2.7
2.2
4.8
3.9
3.3
5.6
Bydgoszcz Warszawska
2018-11 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
co
251
509
528
385
466
554
458
465
400
394
432
330
544
353
417
573
548
553
650
pm25
12
14
22
16
21
23
25
23
-
-
-
-
27
23
19
32
34
30
42
pm10
17
28
34
23
33
35
36
33
20
21
21
24
19
34
20
30
32
36
55
o3
62
62
48
48
29
26
16
25
41
59
55
66
53
70
53
39
26
19
13
no2
14
18
24
18
22
23
22
24
18
19
11
16
16
20
20
25
23
23
28
so2
2.8
4.9
5.5
4
4.7
3.9
3.2
4.3
3.5
3.4
3.3
4.4
2.1
4.2
3.9
5.8
7
5.9
7.9
Ciechocinek
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
no2
8.3
7.4
11
8.3
13
13
13
13
9.3
8.8
6
5.8
7.4
7.6
8.4
13
10
11
11
o3
65
71
55
51
33
33
23
29
44
61
56
79
58
70
51
39
40
28
27
bc
0.54
0.73
1.9
1.3
1.8
2.4
1.2
1
0.46
0.26
0.15
0.18
0.42
0.66
0.81
1.4
1.6
1.7
1.8
Grudziądz Airpointer
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
co
533
511
771
766
782
757
680
587
456
562
368
307
491
485
565
698
688
933
985
no2
19
18
20
19
22
21
18
23
19
22
13
17
18
17
24
29
21
18
18
so2
2.9
4.1
5.9
1.8
3.7
4.1
5
5.1
3.8
4.2
3.3
2.5
2.9
4.9
5.5
7.5
6.5
7.2
11
pm10
24
42
48
34
36
35
-
-
-
-
-
-
-
-
-
-
-
38
78
Inowrocław Airpointer
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
pm10
13
19
33
15
23
30
35
22
18
16
13
19
16
28
16
23
22
22
33
so2
2.9
4.1
4.9
3.5
2.7
3.7
5.4
4.1
3.1
3.8
3.3
3.6
2.5
4.6
2.9
3
2.9
3.1
3
no2
7.6
8.2
11
8.6
11
11
13
13
11
8.5
5.2
6.5
7.9
9.6
7.4
11
10
15
18
Koniczynka
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
no2
8
7.5
9.6
7.3
10
11
10
12
8
8.1
4.5
7.9
5.9
5.9
7.3
9.6
8.1
9.6
7.6
o3
64
68
61
59
39
37
25
37
52
51
39
67
55
72
56
44
42
28
29
so2
2.2
3.5
3.3
2.5
3.8
4
2.9
2.7
1.7
1.9
3
0.92
1.7
4.1
3.5
4.9
4.3
4.3
4.7
Toruń Airpointer
index
2020-05
2020-04
2020-03
2020-02
2020-01
2019-12
2019-11
2019-10
2019-09
2019-08
2019-07
2019-05
2019-04
2019-03
2019-02
2019-01
2018-12
2018-11
pm10
15
21
29
18
28
26
29
28
20
19
21
20
30
21
32
34
32
43
no2
1.9
2.5
7.2
5.4
6.6
6.8
5.7
6
3.6
4.3
2.8
15
17
16
22
17
17
19
so2
4.3
5.1
6.3
5.1
4.9
3.9
3.8
3.4
1.5
3.1
2.2
1.8
5.9
2.8
5.3
4.8
6.5
6.1
Toruń POLICJA
2018-11 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
o3
63
71
52
48
30
28
20
27
43
65
55
66
57
70
49
37
35
26
24
pm25
-
-
-
-
-
19
24
22
16
14
11
18
15
22
20
30
31
26
31
pm10
14
28
32
18
26
23
28
27
18
22
16
23
15
30
17
24
24
23
34
no2
10
13
17
15
17
15
13
18
12
20
-
-
-
-
-
-
-
-
-
so2
2.6
3.6
4
2.4
2
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Toruń, KASZOWNIK
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
bc
0.3
0.52
0.84
0.36
0.95
1
0.65
0.47
0.43
0.4
0.13
0.03
0.08
0.2
0.18
0.46
0.88
1.2
1.3
co
255
426
523
300
486
353
399
437
331
333
290
201
477
396
398
609
435
422
538
pm10
15
25
34
18
28
22
25
25
20
19
16
21
19
35
19
25
25
25
40
no2
11
9.2
11
8.9
11
11
17
17
18
23
14
17
19
22
18
23
19
18
25
so2
-
-
-
-
-
3.3
3.2
3.6
2.6
2.6
2.2
3.3
2.2
3.4
2.8
4.5
3.8
3.6
3.9
pm25
10
14
26
15
25
27
-
-
-
-
-
-
-
-
-
-
-
-
-
Włocławek OKRZEI
2018-11 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
co
458
453
533
505
704
713
592
708
455
688
658
688
689
531
498
629
950
880
680
no2
28
22
23
25
26
26
20
27
26
33
23
22
28
16
21
29
25
25
19
pm10
21
31
43
24
36
33
37
36
20
18
15
20
22
39
35
43
43
38
48
so2
-
-
-
-
-
4.3
3
2.1
3.3
2.6
2.6
2.5
3
4.3
3.3
4.3
4.4
3.9
4.5
pm25
17
19
36
21
34
31
35
32
16
12
9.5
13
17
24
27
38
41
36
46
bc
0.72
1.1
2
1.5
3.5
3.5
2
1.6
0.82
0.57
0.39
0.46
0.82
1.1
1.8
1.4
1.3
1.6
1.9
Włocławek, ul. Kaliska
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
pm10
16
20
23
15
23
19
22
23
17
28
29
51
21
31
15
26
no2
13
13
17
9.1
13
14
12
15
14
16
9.1
11
11
11
11
9.9
o3
62
70
49
47
29
28
21
27
41
60
56
72
55
80
22
-
so2
1.4
2.5
3.4
2.3
1.4
-
-
-
-
-
-
-
-
-
-
-
* Pollution data source:
https://openaq.org
(GIOS)
The data is licensed under CC-By 4.0
PM2,5 32 (Moderate)
NO2 1 (Good)
O3 3 (Good)
SO2 0 (Good)
PM10 25 (Moderate)
CO 100 (Good)
Data on air pollution from recent days in Kuyavian-Pomeranian
| index | 2022-05-27 | 2024-04-08 | 2024-04-09 | 2024-04-10 | 2024-04-11 | 2024-04-12 | 2024-04-13 | 2024-04-14 | 2024-04-15 |
|---|---|---|---|---|---|---|---|---|---|
| pm25 | 11 Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
| no2 | 8 Good |
15 Good |
28 Good |
6 Good |
12 Good |
11 Good |
7 Good |
6 Good |
20 Good |
| o3 | 9 Good |
59 Good |
40 Good |
63 Good |
65 Good |
60 Good |
62 Good |
69 Good |
35 Good |
| so2 | 8 Good |
1 Good |
1 Good |
1 Good |
1 Good |
1 Good |
1 Good |
2 Good |
2 Good |
| pm10 | 30 Moderate |
21 Moderate |
22 Moderate |
13 Good |
10 Good |
11 Good |
17 Good |
19 Good |
12 Good |
| co | 11 Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
- Good |
| index | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2018-12 | 2018-11 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 15 (Good) | 14 (Good) | 16 (Good) | 13 (Good) | 16 (Good) | 9.7 (Good) | 13 (Good) | 14 (Good) | 14 (Good) | 14 (Good) | 18 (Good) | 16 (Good) | 12 (Good) | 12 (Good) | 15 (Good) | 13 (Good) | 15 (Good) | 17 (Good) | 18 (Good) |
| o3 | 32 (Good) | 22 (Good) | 30 (Good) | 45 (Good) | 59 (Good) | 54 (Good) | 73 (Moderate) | 57 (Good) | 74 (Moderate) | 49 (Good) | 41 (Good) | 37 (Good) | 64 (Good) | 70 (Good) | 55 (Good) | 52 (Good) | 33 (Good) | 27 (Good) | 25 (Good) |
| so2 | 4 (Good) | 3.9 (Good) | 3.7 (Good) | 2.7 (Good) | 3.4 (Good) | 3.2 (Good) | 3.1 (Good) | 2.5 (Good) | 4 (Good) | 3.6 (Good) | 5.2 (Good) | 5.6 (Good) | 2.7 (Good) | 3.9 (Good) | 4.5 (Good) | 3.1 (Good) | 3.5 (Good) | 5 (Good) | 5.7 (Good) |
| co | 562 (Good) | 536 (Good) | 520 (Good) | 420 (Good) | 421 (Good) | 372 (Good) | 341 (Good) | 463 (Good) | 406 (Good) | 426 (Good) | 562 (Good) | 538 (Good) | 348 (Good) | 437 (Good) | 539 (Good) | 452 (Good) | 554 (Good) | 647 (Good) | 537 (Good) |
| bc | 2.2 (Good) | 1.6 (Good) | 1.1 (Good) | 0.41 (Good) | 0.33 (Good) | 0.25 (Good) | 0.19 (Good) | 0.39 (Good) | 0.56 (Good) | 0.8 (Good) | 1.2 (Good) | 1.5 (Good) | 0.46 (Good) | 0.85 (Good) | 1.6 (Good) | 0.99 (Good) | 1.9 (Good) | 1.9 (Good) | 2.4 (Good) |
| pm10 | 28 (Moderate) | 31 (Moderate) | 29 (Moderate) | 20 (Good) | 21 (Moderate) | 19 (Good) | 26 (Moderate) | 20 (Good) | 34 (Moderate) | 22 (Moderate) | 31 (Moderate) | 31 (Moderate) | 17 (Good) | 28 (Moderate) | 35 (Moderate) | 21 (Moderate) | 29 (Moderate) | 31 (Moderate) | 48 (Moderate) |
| pm25 | 25 (Moderate) | 27 (Moderate) | 24 (Moderate) | 15 (Moderate) | 13 (Moderate) | 10 (Good) | 15 (Moderate) | 18 (Moderate) | 22 (Moderate) | 20 (Moderate) | 31 (Moderate) | 33 (Moderate) | 13 (Moderate) | 16 (Moderate) | 28 (Moderate) | 17 (Moderate) | 26 (Moderate) | 29 (Moderate) | 39 (Unhealthy for Sensitive Groups) |
Green and Parks in the City
Kuyavian-Pomeranian 65%
Czech Republic: 77% Slovakia: 58% Lithuania: 86% Hungary: 59% Austria: 78%particulate matter PM2.5
Kuyavian-Pomeranian 21 (Moderate)
Pleasure of spending time in the city
Kuyavian-Pomeranian 54%
Czech Republic: 77% Slovakia: 73% Lithuania: 83% Hungary: 65% Austria: 84%particulate matter PM10
Kuyavian-Pomeranian 32 (Moderate)
Air Pollution
Kuyavian-Pomeranian 55%
Czech Republic: 35% Slovakia: 35% Lithuania: 26% Hungary: 49% Austria: 21%Garbage Disposal
Kuyavian-Pomeranian 71%
Czech Republic: 74% Slovakia: 65% Lithuania: 71% Hungary: 65% Austria: 84%Availability and quality of drinking water
Kuyavian-Pomeranian 73%
Czech Republic: 84% Slovakia: 87% Lithuania: 91% Hungary: 80% Austria: 91%Cleanliness and tidiness
Kuyavian-Pomeranian 65%
Czech Republic: 65% Slovakia: 57% Lithuania: 78% Hungary: 52% Austria: 82%Noise and Light pollution
Kuyavian-Pomeranian 41%
Czech Republic: 44% Slovakia: 41% Lithuania: 30% Hungary: 45% Austria: 34%Water Pollution
Kuyavian-Pomeranian 43%
Czech Republic: 28% Slovakia: 27% Lithuania: 24% Hungary: 30% Austria: 14%PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)PM2,5 32 (Moderate)
particulate matter (PM2.5) dustNO2 0.02 (Good)
nitrogen dioxide (NO2)O3 0.03 (Good)
ozone (O3)SO2 0 (Good)
sulfur dioxide (SO2)PM10 25 (Moderate)
particulate matter (PM10) suspended dustCO 100 (Good)
carbon monoxide (CO)O3 42 (Good)
ozone (O3)NO2 18 (Good)
nitrogen dioxide (NO2)SO2 2 (Good)
sulfur dioxide (SO2)PM10 20 (Good)
particulate matter (PM10) suspended dustBory Tucholskie
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Bydgoszcz Plac Poznański
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Bydgoszcz Warszawska
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Chełmno, Łunawska 3A
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Ciechocinek
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Grudziądz Airpointer
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Inowrocław Airpointer
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Koniczynka
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Toruń Airpointer
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Toruń POLICJA
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Toruń, KASZOWNIK
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Włocławek OKRZEI
| index | 2022-05-27 |
|---|---|
| pm25 | 11 |
| no2 | 8.2 |
| o3 | 9.3 |
| so2 | 8.4 |
| pm10 | 30 |
| co | 11 |
Włocławek, ul. Kaliska
| index | 2024-04-15 | 2024-04-14 | 2024-04-13 | 2024-04-12 | 2024-04-11 | 2024-04-10 | 2024-04-09 | 2024-04-08 |
|---|---|---|---|---|---|---|---|---|
| no2 | 20 | 5.7 | 7.4 | 11 | 12 | 6.3 | 28 | 15 |
| pm10 | 12 | 19 | 17 | 11 | 10 | 13 | 22 | 21 |
| so2 | 2.1 | 1.6 | 0.97 | 1.3 | 1.3 | 0.85 | 1.3 | 0.97 |
| o3 | 35 | 69 | 62 | 60 | 65 | 63 | 40 | 59 |
Airponter Wieniec Zdrój
| index | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-06 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 11 | 12 | 12 | 9.8 | 11 | 6.9 | 8.2 | 8.8 | 8.1 | 9.8 | 13 | 15 |
| so2 | 5.9 | 4.6 | 2.5 | 1.1 | 3.6 | 2.4 | 2.9 | 1.3 | 2.9 | 1.5 | 3.9 | 7.8 |
| o3 | 31 | 23 | 26 | 42 | 64 | 61 | 81 | 58 | 79 | 58 | 42 | 34 |
| co | 622 | 645 | 641 | 504 | 128 | 129 | 98 | 313 | 412 | 304 | 447 | 510 |
Bory Tucholskie
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| bc | 0.64 | 1.6 | 2.7 | 1.5 | 2.4 | 3.6 | 3.7 | 2 | 0.13 | 0.28 | 0.47 | 0.13 | 0.18 | 0.26 | 0.44 | 0.7 | 1.2 | 1.2 | 2.1 |
| co | 277 | 242 | 287 | 284 | 335 | 332 | 366 | 314 | 212 | 285 | 194 | 248 | 258 | 203 | 292 | 337 | 181 | 391 | 370 |
| no2 | 2.9 | 2.6 | 4.9 | 4 | 6.9 | 7.2 | 7.5 | 4.2 | 3.9 | 5.5 | 2.2 | 3.3 | 3.9 | 4 | 3.7 | 6.6 | 6.4 | 8.2 | 8.7 |
| o3 | 69 | 76 | 63 | 59 | 41 | 39 | 29 | 40 | 51 | 53 | 56 | 80 | 63 | 75 | 55 | 48 | 46 | 36 | 30 |
| so2 | 2.8 | 3.4 | 2.9 | 3 | 4.3 | 4.1 | 3.7 | 5.9 | 5.3 | 6.3 | 7 | 5.8 | 5.8 | 3.4 | 7.5 | 8.3 | 10 | 7.5 | 5 |
Bydgoszcz Plac Poznański
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| bc | 0.13 | 0.35 | 0.71 | 0.39 | 0.58 | 0.67 | 0.69 | 0.67 | 0.21 | 0.13 | 0.11 | 0.14 | 0.44 | 0.61 | - | 2.1 | 2.6 | 3.8 | 4.8 |
| co | 311 | 481 | 592 | 473 | 553 | 606 | 614 | 491 | 583 | 554 | 535 | 514 | 469 | 459 | 508 | 643 | 453 | 702 | 1 |
| no2 | 17 | 24 | 29 | 25 | 26 | 25 | 24 | 29 | 24 | 29 | 19 | 25 | 32 | 35 | 25 | 28 | 25 | 22 | 25 |
| pm25 | 12 | 17 | 28 | 15 | 23 | 24 | 26 | 20 | 12 | 14 | 10 | 14 | 13 | 17 | 14 | 25 | 24 | 23 | 38 |
| pm10 | 21 | 37 | 42 | 23 | 29 | 32 | 38 | 38 | 26 | 25 | 18 | 25 | 25 | 47 | 31 | 43 | 36 | 34 | 56 |
| so2 | - | - | - | - | - | 2.8 | 4.2 | 3.3 | 1.5 | 2.6 | 2.9 | 1.7 | 1.5 | 2.7 | 2.2 | 4.8 | 3.9 | 3.3 | 5.6 |
Bydgoszcz Warszawska
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| co | 251 | 509 | 528 | 385 | 466 | 554 | 458 | 465 | 400 | 394 | 432 | 330 | 544 | 353 | 417 | 573 | 548 | 553 | 650 |
| pm25 | 12 | 14 | 22 | 16 | 21 | 23 | 25 | 23 | - | - | - | - | 27 | 23 | 19 | 32 | 34 | 30 | 42 |
| pm10 | 17 | 28 | 34 | 23 | 33 | 35 | 36 | 33 | 20 | 21 | 21 | 24 | 19 | 34 | 20 | 30 | 32 | 36 | 55 |
| o3 | 62 | 62 | 48 | 48 | 29 | 26 | 16 | 25 | 41 | 59 | 55 | 66 | 53 | 70 | 53 | 39 | 26 | 19 | 13 |
| no2 | 14 | 18 | 24 | 18 | 22 | 23 | 22 | 24 | 18 | 19 | 11 | 16 | 16 | 20 | 20 | 25 | 23 | 23 | 28 |
| so2 | 2.8 | 4.9 | 5.5 | 4 | 4.7 | 3.9 | 3.2 | 4.3 | 3.5 | 3.4 | 3.3 | 4.4 | 2.1 | 4.2 | 3.9 | 5.8 | 7 | 5.9 | 7.9 |
Ciechocinek
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 8.3 | 7.4 | 11 | 8.3 | 13 | 13 | 13 | 13 | 9.3 | 8.8 | 6 | 5.8 | 7.4 | 7.6 | 8.4 | 13 | 10 | 11 | 11 |
| o3 | 65 | 71 | 55 | 51 | 33 | 33 | 23 | 29 | 44 | 61 | 56 | 79 | 58 | 70 | 51 | 39 | 40 | 28 | 27 |
| bc | 0.54 | 0.73 | 1.9 | 1.3 | 1.8 | 2.4 | 1.2 | 1 | 0.46 | 0.26 | 0.15 | 0.18 | 0.42 | 0.66 | 0.81 | 1.4 | 1.6 | 1.7 | 1.8 |
Grudziądz Airpointer
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| co | 533 | 511 | 771 | 766 | 782 | 757 | 680 | 587 | 456 | 562 | 368 | 307 | 491 | 485 | 565 | 698 | 688 | 933 | 985 |
| no2 | 19 | 18 | 20 | 19 | 22 | 21 | 18 | 23 | 19 | 22 | 13 | 17 | 18 | 17 | 24 | 29 | 21 | 18 | 18 |
| so2 | 2.9 | 4.1 | 5.9 | 1.8 | 3.7 | 4.1 | 5 | 5.1 | 3.8 | 4.2 | 3.3 | 2.5 | 2.9 | 4.9 | 5.5 | 7.5 | 6.5 | 7.2 | 11 |
| pm10 | 24 | 42 | 48 | 34 | 36 | 35 | - | - | - | - | - | - | - | - | - | - | - | 38 | 78 |
Inowrocław Airpointer
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 13 | 19 | 33 | 15 | 23 | 30 | 35 | 22 | 18 | 16 | 13 | 19 | 16 | 28 | 16 | 23 | 22 | 22 | 33 |
| so2 | 2.9 | 4.1 | 4.9 | 3.5 | 2.7 | 3.7 | 5.4 | 4.1 | 3.1 | 3.8 | 3.3 | 3.6 | 2.5 | 4.6 | 2.9 | 3 | 2.9 | 3.1 | 3 |
| no2 | 7.6 | 8.2 | 11 | 8.6 | 11 | 11 | 13 | 13 | 11 | 8.5 | 5.2 | 6.5 | 7.9 | 9.6 | 7.4 | 11 | 10 | 15 | 18 |
Koniczynka
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no2 | 8 | 7.5 | 9.6 | 7.3 | 10 | 11 | 10 | 12 | 8 | 8.1 | 4.5 | 7.9 | 5.9 | 5.9 | 7.3 | 9.6 | 8.1 | 9.6 | 7.6 |
| o3 | 64 | 68 | 61 | 59 | 39 | 37 | 25 | 37 | 52 | 51 | 39 | 67 | 55 | 72 | 56 | 44 | 42 | 28 | 29 |
| so2 | 2.2 | 3.5 | 3.3 | 2.5 | 3.8 | 4 | 2.9 | 2.7 | 1.7 | 1.9 | 3 | 0.92 | 1.7 | 4.1 | 3.5 | 4.9 | 4.3 | 4.3 | 4.7 |
Toruń Airpointer
| index | 2020-05 | 2020-04 | 2020-03 | 2020-02 | 2020-01 | 2019-12 | 2019-11 | 2019-10 | 2019-09 | 2019-08 | 2019-07 | 2019-05 | 2019-04 | 2019-03 | 2019-02 | 2019-01 | 2018-12 | 2018-11 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 15 | 21 | 29 | 18 | 28 | 26 | 29 | 28 | 20 | 19 | 21 | 20 | 30 | 21 | 32 | 34 | 32 | 43 |
| no2 | 1.9 | 2.5 | 7.2 | 5.4 | 6.6 | 6.8 | 5.7 | 6 | 3.6 | 4.3 | 2.8 | 15 | 17 | 16 | 22 | 17 | 17 | 19 |
| so2 | 4.3 | 5.1 | 6.3 | 5.1 | 4.9 | 3.9 | 3.8 | 3.4 | 1.5 | 3.1 | 2.2 | 1.8 | 5.9 | 2.8 | 5.3 | 4.8 | 6.5 | 6.1 |
Toruń POLICJA
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| o3 | 63 | 71 | 52 | 48 | 30 | 28 | 20 | 27 | 43 | 65 | 55 | 66 | 57 | 70 | 49 | 37 | 35 | 26 | 24 |
| pm25 | - | - | - | - | - | 19 | 24 | 22 | 16 | 14 | 11 | 18 | 15 | 22 | 20 | 30 | 31 | 26 | 31 |
| pm10 | 14 | 28 | 32 | 18 | 26 | 23 | 28 | 27 | 18 | 22 | 16 | 23 | 15 | 30 | 17 | 24 | 24 | 23 | 34 |
| no2 | 10 | 13 | 17 | 15 | 17 | 15 | 13 | 18 | 12 | 20 | - | - | - | - | - | - | - | - | - |
| so2 | 2.6 | 3.6 | 4 | 2.4 | 2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Toruń, KASZOWNIK
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| bc | 0.3 | 0.52 | 0.84 | 0.36 | 0.95 | 1 | 0.65 | 0.47 | 0.43 | 0.4 | 0.13 | 0.03 | 0.08 | 0.2 | 0.18 | 0.46 | 0.88 | 1.2 | 1.3 |
| co | 255 | 426 | 523 | 300 | 486 | 353 | 399 | 437 | 331 | 333 | 290 | 201 | 477 | 396 | 398 | 609 | 435 | 422 | 538 |
| pm10 | 15 | 25 | 34 | 18 | 28 | 22 | 25 | 25 | 20 | 19 | 16 | 21 | 19 | 35 | 19 | 25 | 25 | 25 | 40 |
| no2 | 11 | 9.2 | 11 | 8.9 | 11 | 11 | 17 | 17 | 18 | 23 | 14 | 17 | 19 | 22 | 18 | 23 | 19 | 18 | 25 |
| so2 | - | - | - | - | - | 3.3 | 3.2 | 3.6 | 2.6 | 2.6 | 2.2 | 3.3 | 2.2 | 3.4 | 2.8 | 4.5 | 3.8 | 3.6 | 3.9 |
| pm25 | 10 | 14 | 26 | 15 | 25 | 27 | - | - | - | - | - | - | - | - | - | - | - | - | - |
Włocławek OKRZEI
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| co | 458 | 453 | 533 | 505 | 704 | 713 | 592 | 708 | 455 | 688 | 658 | 688 | 689 | 531 | 498 | 629 | 950 | 880 | 680 |
| no2 | 28 | 22 | 23 | 25 | 26 | 26 | 20 | 27 | 26 | 33 | 23 | 22 | 28 | 16 | 21 | 29 | 25 | 25 | 19 |
| pm10 | 21 | 31 | 43 | 24 | 36 | 33 | 37 | 36 | 20 | 18 | 15 | 20 | 22 | 39 | 35 | 43 | 43 | 38 | 48 |
| so2 | - | - | - | - | - | 4.3 | 3 | 2.1 | 3.3 | 2.6 | 2.6 | 2.5 | 3 | 4.3 | 3.3 | 4.3 | 4.4 | 3.9 | 4.5 |
| pm25 | 17 | 19 | 36 | 21 | 34 | 31 | 35 | 32 | 16 | 12 | 9.5 | 13 | 17 | 24 | 27 | 38 | 41 | 36 | 46 |
| bc | 0.72 | 1.1 | 2 | 1.5 | 3.5 | 3.5 | 2 | 1.6 | 0.82 | 0.57 | 0.39 | 0.46 | 0.82 | 1.1 | 1.8 | 1.4 | 1.3 | 1.6 | 1.9 |
Włocławek, ul. Kaliska
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pm10 | 16 | 20 | 23 | 15 | 23 | 19 | 22 | 23 | 17 | 28 | 29 | 51 | 21 | 31 | 15 | 26 |
| no2 | 13 | 13 | 17 | 9.1 | 13 | 14 | 12 | 15 | 14 | 16 | 9.1 | 11 | 11 | 11 | 11 | 9.9 |
| o3 | 62 | 70 | 49 | 47 | 29 | 28 | 21 | 27 | 41 | 60 | 56 | 72 | 55 | 80 | 22 | - |
| so2 | 1.4 | 2.5 | 3.4 | 2.3 | 1.4 | - | - | - | - | - | - | - | - | - | - | - |