Air Pollution in Punjab: Real-time Air Quality Index and smog alert.

Current data from stations: Civil Line, Jalandhar - PPCB Golden Temple, Amritsar - PPCB Hardev Nagar, Bathinda - PPCB Kalal Majra, Khanna - PPCB Model Town, Patiala - PPCB Punjab Agricultural University, Ludhiana - PPCB RIMT University, Mandi Gobindgarh - PPCB

Locations: Rupnagar » Patiala » Ludhiana » Jalandhar » Hoshiarpur » Bathinda » Amritsar » Fatehgarh Sahib »

Pollution and air quality forecast for Punjab. Today is Thursday, May 1, 2025. The following air pollution values have been recorded for Punjab:

particulate matter (PM10) suspended dust - 144 (Very Unhealthy)
sulfur dioxide (SO2) - 13 (Good)
particulate matter (PM2.5) dust - 77 (Very Unhealthy)
carbon monoxide (CO) - 950 (Good)
nitrogen dioxide (NO2) - 27 (Good)
ozone (O3) - 25 (Good)

Real-time Air Quality Index (AQI) for Punjab, Monday, October 31, 2022: 5.

AQI 5 Very Unhealthy

What is the air quality in Punjab today? Is the air polluted in Punjab?. Is there smog?

Today (Monday, October 31, 2022) air quality is very poor in Punjab. Healthy people will commonly show symptoms of respiratory problem. People with respiratory or heart diseases will be significantly affected by air quality and will experience reduced endurance in in typical outdoor activities. Children, seniors and individuals with heart or lung diseases should stay indoors and avoid outdoor activities in Punjab. Other residents should reduce outdoor activities.

What is the level of PM10 today in Punjab? (particulate matter (PM10) suspended dust)
The current level of particulate matter PM10 in Punjab is: 144 (Very Unhealthy) The highest PM10 values usually occur in month: 276 (November 2017). The lowest value of particulate matter PM10 pollution in Punjab is usually recorded in: April (53).

What is the level of SO2 pollution? (sulfur dioxide (SO2))
13 (Good)

What is the current level of PM2.5 in Punjab? (particulate matter (PM2.5) dust)
Today's PM2.5 level is: 77 (Very Unhealthy) For comparison, the highest level of PM2.5 in Punjab in the last 7 days was: 75 (Monday, October 31, 2022) and the lowest: 75 (Monday, October 31, 2022). The highest PM2.5 values were recorded: 150 (November 2017). The lowest level of particulate matter PM2.5 pollution occurs in month: August (23).

How high is the CO level? (carbon monoxide (CO))
950 (Good)

How high is the level of NO2? (nitrogen dioxide (NO2))
27 (Good)

How is the O3 level today in Punjab? (ozone (O3))
25 (Good)

Current data Monday, October 31, 2022, 2:00 AM

PM10 144 (Very Unhealthy)

SO2 13 (Good)

PM2,5 77 (Very Unhealthy)

CO 950 (Good)

NO2 27 (Good)

O3 25 (Good)

Data on air pollution from recent days in Punjab

index	2022-10-31
pm10	137 Very Unhealthy
so2	13 Good
pm25	75 Very Unhealthy
co	1022 Good
no2	28 Good
o3	24 Good

data source »

pollution pm25 hikersbay.com — Air pollution in Punjab from March 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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04	2018-03	2018-02	2018-01	2017-12	2017-11	2017-10	2017-09	2017-08	2017-07	2017-06	2017-05	2017-04	2017-03
pm25	34 (Moderate)	26 (Moderate)	30 (Moderate)	57 (Unhealthy)	59 (Unhealthy)	78 (Very Unhealthy)	74 (Unhealthy)	60 (Unhealthy)	30 (Moderate)	23 (Moderate)	27 (Moderate)	41 (Unhealthy for Sensitive Groups)	31 (Moderate)	45 (Unhealthy for Sensitive Groups)	59 (Unhealthy)	58 (Unhealthy)	53 (Unhealthy for Sensitive Groups)	28 (Moderate)	25 (Moderate)	51 (Unhealthy for Sensitive Groups)	62 (Unhealthy)	74 (Unhealthy)	63 (Unhealthy)	78 (Very Unhealthy)	98 (Very Unhealthy)	150 (Very bad Hazardous)	127 (Very bad Hazardous)	78 (Very Unhealthy)	37 (Unhealthy for Sensitive Groups)	33 (Moderate)	66 (Unhealthy)	77 (Very Unhealthy)	73 (Unhealthy)	89 (Very Unhealthy)
pm10	82 (Unhealthy)	53 (Unhealthy for Sensitive Groups)	68 (Unhealthy for Sensitive Groups)	111 (Very Unhealthy)	103 (Unhealthy)	137 (Very Unhealthy)	153 (Very bad Hazardous)	121 (Very Unhealthy)	69 (Unhealthy for Sensitive Groups)	61 (Unhealthy for Sensitive Groups)	68 (Unhealthy for Sensitive Groups)	110 (Very Unhealthy)	86 (Unhealthy)	142 (Very Unhealthy)	139 (Very Unhealthy)	119 (Very Unhealthy)	112 (Very Unhealthy)	55 (Unhealthy for Sensitive Groups)	54 (Unhealthy for Sensitive Groups)	118 (Very Unhealthy)	131 (Very Unhealthy)	98 (Unhealthy)	100 (Unhealthy)	131 (Very Unhealthy)	160 (Very bad Hazardous)	276 (Very bad Hazardous)	236 (Very bad Hazardous)	155 (Very bad Hazardous)	100 (Unhealthy)	125 (Very Unhealthy)	173 (Very bad Hazardous)	212 (Very bad Hazardous)	193 (Very bad Hazardous)	202 (Very bad Hazardous)
no2	24 (Good)	12 (Good)	16 (Good)	16 (Good)	16 (Good)	18 (Good)	28 (Good)	25 (Good)	16 (Good)	15 (Good)	19 (Good)	26 (Good)	24 (Good)	19 (Good)	17 (Good)	23 (Good)	20 (Good)	14 (Good)	13 (Good)	20 (Good)	18 (Good)	23 (Good)	45 (Moderate)	26 (Good)	60 (Moderate)	103 (Unhealthy for Sensitive Groups)	37 (Good)	11 (Good)	11 (Good)	12 (Good)	36 (Good)	11 (Good)	32 (Good)	35 (Good)
so2	10 (Good)	7.5 (Good)	11 (Good)	15 (Good)	12 (Good)	11 (Good)	15 (Good)	9.8 (Good)	9.1 (Good)	9.6 (Good)	23 (Good)	9.7 (Good)	11 (Good)	11 (Good)	7.8 (Good)	12 (Good)	8.2 (Good)	7.3 (Good)	12 (Good)	14 (Good)	17 (Good)	13 (Good)	8.3 (Good)	13 (Good)	9.6 (Good)	8.4 (Good)	7.8 (Good)	16 (Good)	4.2 (Good)	12 (Good)	29 (Good)	22 (Good)	13 (Good)	12 (Good)
co	531 (Good)	333 (Good)	402 (Good)	541 (Good)	449 (Good)	463 (Good)	376 (Good)	357 (Good)	411 (Good)	501 (Good)	260 (Good)	573 (Good)	396 (Good)	520 (Good)	583 (Good)	360 (Good)	387 (Good)	419 (Good)	497 (Good)	555 (Good)	18 (Good)	48 (Good)	1 (Good)	1 (Good)	1 (Good)	966 (Good)	793 (Good)	871 (Good)	525 (Good)	813 (Good)	783 (Good)	542 (Good)	662 (Good)	522 (Good)
o3	26 (Good)	24 (Good)	18 (Good)	21 (Good)	16 (Good)	14 (Good)	14 (Good)	32 (Good)	20 (Good)	16 (Good)	20 (Good)	22 (Good)	26 (Good)	24 (Good)	14 (Good)	15 (Good)	22 (Good)	20 (Good)	24 (Good)	20 (Good)	22 (Good)	18 (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)	- (Good)

data source »

Quality of life in Punjab

Green and Parks in the City

Punjab 51%

Nepal: 32% Bangladesh: 33% Bhutan: 82% Sri Lanka: 59% Pakistan: 49%

particulate matter PM2.5

Punjab 82 (Very Unhealthy)

Pleasure of spending time in the city

Punjab 38%

Nepal: 32% Bangladesh: 26% Bhutan: 61% Sri Lanka: 52% Pakistan: 43%

particulate matter PM10

Punjab 150 (Very bad Hazardous)

Air Pollution

Punjab 68%

Nepal: 76% Bangladesh: 78% Bhutan: 45% Sri Lanka: 53% Pakistan: 64%

Garbage Disposal

Punjab 27%

Nepal: 25% Bangladesh: 22% Bhutan: 47% Sri Lanka: 41% Pakistan: 34%

Availability and quality of drinking water

Punjab 53%

Nepal: 36% Bangladesh: 44% Bhutan: 64% Sri Lanka: 65% Pakistan: 44%

Cleanliness and tidiness

Punjab 38%

Nepal: 27% Bangladesh: 23% Bhutan: 57% Sri Lanka: 52% Pakistan: 40%

Noise and Light pollution

Punjab 58%

Nepal: 55% Bangladesh: 63% Bhutan: 55% Sri Lanka: 50% Pakistan: 59%

Water Pollution

Punjab 65%

Nepal: 76% Bangladesh: 74% Bhutan: 56% Sri Lanka: 57% Pakistan: 70%

Source: Numbeo

Civil Line, Jalandhar - PPCB

Monday, October 31, 2022, 2:00 AM

PM10 103 (Unhealthy)

particulate matter (PM10) suspended dust

SO2 16 (Good)

sulfur dioxide (SO2)

PM2,5 56 (Unhealthy)

particulate matter (PM2.5) dust

CO 720 (Good)

carbon monoxide (CO)

NO2 25 (Good)

nitrogen dioxide (NO2)

O3 7.2 (Good)

ozone (O3)

Golden Temple, Amritsar - PPCB

Monday, October 31, 2022, 2:00 AM

PM10 138 (Very Unhealthy)

particulate matter (PM10) suspended dust

SO2 7.2 (Good)

sulfur dioxide (SO2)

PM2,5 129 (Very bad Hazardous)

particulate matter (PM2.5) dust

CO 580 (Good)

carbon monoxide (CO)

NO2 58 (Moderate)

nitrogen dioxide (NO2)

O3 15 (Good)

ozone (O3)

Hardev Nagar, Bathinda - PPCB

Monday, October 31, 2022, 1:45 AM

CO 950 (Good)

carbon monoxide (CO)

PM2,5 48 (Unhealthy for Sensitive Groups)

particulate matter (PM2.5) dust

PM10 109 (Unhealthy)

particulate matter (PM10) suspended dust

NO2 22 (Good)

nitrogen dioxide (NO2)

SO2 34 (Good)

sulfur dioxide (SO2)

Kalal Majra, Khanna - PPCB

Monday, October 31, 2022, 1:00 AM

PM2,5 55 (Unhealthy for Sensitive Groups)

particulate matter (PM2.5) dust

PM10 155 (Very bad Hazardous)

particulate matter (PM10) suspended dust

NO2 23 (Good)

nitrogen dioxide (NO2)

SO2 8 (Good)

sulfur dioxide (SO2)

CO 0.75 (Good)

carbon monoxide (CO)

O3 21 (Good)

ozone (O3)

Model Town, Patiala - PPCB

Monday, October 31, 2022, 1:45 AM

PM10 171 (Very bad Hazardous)

particulate matter (PM10) suspended dust

SO2 8.8 (Good)

sulfur dioxide (SO2)

PM2,5 93 (Very Unhealthy)

particulate matter (PM2.5) dust

CO 2060 (Moderate)

carbon monoxide (CO)

NO2 21 (Good)

nitrogen dioxide (NO2)

O3 28 (Good)

ozone (O3)

Punjab Agricultural University, Ludhiana - PPCB

Monday, October 31, 2022, 2:00 AM

SO2 6 (Good)

sulfur dioxide (SO2)

PM2,5 99 (Very Unhealthy)

particulate matter (PM2.5) dust

NO2 21 (Good)

nitrogen dioxide (NO2)

PM10 188 (Very bad Hazardous)

particulate matter (PM10) suspended dust

CO 1680 (Good)

carbon monoxide (CO)

O3 8.7 (Good)

ozone (O3)

RIMT University, Mandi Gobindgarh - PPCB

Monday, October 31, 2022, 2:00 AM

PM2,5 60 (Unhealthy)

particulate matter (PM2.5) dust

PM10 142 (Very Unhealthy)

particulate matter (PM10) suspended dust

NO2 20 (Good)

nitrogen dioxide (NO2)

SO2 14 (Good)

sulfur dioxide (SO2)

CO 660 (Good)

carbon monoxide (CO)

O3 68 (Good)

ozone (O3)

Civil Line, Jalandhar - PPCB

index	2022-10-31
pm10	104
so2	16
pm25	56
co	705
no2	25
o3	7.1

Golden Temple, Amritsar - PPCB

index	2022-10-31
pm10	126
so2	7.7
pm25	110
co	620
no2	63
o3	15

Hardev Nagar, Bathinda - PPCB

index	2022-10-31
co	1450
pm25	48
pm10	71
no2	21
so2	34

Kalal Majra, Khanna - PPCB

index	2022-10-31
pm25	55
pm10	155
no2	23
so2	8
co	0.75
o3	21

Model Town, Patiala - PPCB

index	2022-10-31
pm10	170
so2	8.6
pm25	94
co	2045
no2	23
o3	27

Punjab Agricultural University, Ludhiana - PPCB

index	2022-10-31
so2	5.7
pm25	100
no2	20
pm10	190
co	1675
o3	7.3

RIMT University, Mandi Gobindgarh - PPCB

index	2022-10-31
pm25	60
pm10	142
no2	20
so2	14
co	660
o3	68

Civil Line, Jalandhar - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04	2018-03
pm25	42	27	37	62	62	67	76	69	29	31	43	55	46	51	52	71	63	26	32	56	78	55
pm10	72	46	63	107	108	115	131	118	70	112	121	128	113	171	178	112	104	43	52	92	112	103
co	420	319	655	807	760	739	881	829	857	880	1	478	822	906	927	666	754	658	812	954	27	54
o3	23	21	19	25	18	14	15	23	15	15	26	27	18	13	15	17	22	16	24	16	23	17
no2	5.8	9	8.3	15	24	17	36	25	30	20	30	28	28	31	9.1	17	23	26	12	15	8.3	22
so2	9.2	12	11	9.3	8.6	11	13	15	16	34	131	11	23	6.2	11	6.4	7.5	7.6	8.1	-	-	18

Golden Temple, Amritsar - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04	2018-03
co	761	746	735	666	624	633	614	442	824	413	371	665	762	849	-	426	66	-	346	799	11	43
o3	37	35	29	34	35	27	14	103	29	17	18	20	32	24	11	18	21	20	32	-	-	28
pm25	27	20	28	73	50	70	78	67	36	30	32	33	36	57	70	47	52	-	-	60	58	62
pm10	79	58	84	127	86	98	155	116	67	56	63	102	90	136	126	126	141	53	53	134	130	108
no2	20	15	12	14	10	12	10	13	11	9.6	12	9.2	17	16	19	31	21	9.5	13	8.5	13	13
so2	9.1	8.8	11	9.7	9.1	8.7	13	11	12	6.6	7.5	9.8	-	-	-	3.4	5.9	3.6	7	6.1	5.6	4.1

Hardev Nagar, Bathinda - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08
pm25	35	40	27	63	53	59	76	31	29	6.9	13	27	25	22	32	53	41	45	38
pm10	76	55	83	118	92	159	149	111	64	14	45	88	106	124	118	120	100	68	59
no2	18	18	18	18	18	18	23	23	23	23	21	20	21	21	18	14	16	9.6	10
so2	9.6	8.8	8.6	5.3	7.4	7.4	7.1	6.7	6.5	4.6	4.4	15	4.4	5.3	3.1	18	3	6.1	6.6
co	502	1	2	1	1	1	2	2	1	-	1	966	1	953	575	218	200	128	392

Kalal Majra, Khanna - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04
pm25	30	23	23	39	58	69	62	54	29	23	29	36	19	33	50	53	51	24	23	42	48
pm10	82	50	51	81	103	156	152	126	53	45	60	100	54	126	106	118	117	50	54	111	161
co	-	-	1.2	-	0.42	0.76	0.74	0.51	0.87	0.88	0.86	0.69	-	0.19	0.35	0.59	0.61	0.41	0.46	0.79	0.78
o3	22	18	17	16	11	8.2	6.9	21	24	13	21	26	16	16	7.5	14	29	26	22	32	43
no2	6.6	6.4	12	13	8.2	26	32	39	8.9	18	28	26	6.5	7.3	8.9	47	46	11	7.6	7.6	15
so2	7.4	7.1	15	13	11	12	21	11	6.5	4.9	4.6	6.2	13	17	9.3	22	13	7.2	4.5	17	37

Model Town, Patiala - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04	2018-03
pm25	24	20	22	46	49	76	67	65	26	13	13	34	51	87	57	50	21	14	36	57	59
pm10	70	51	54	96	93	138	151	133	74	44	41	101	183	209	116	107	64	51	137	113	86
no2	6.9	4.3	5.9	6.7	11	18	38	21	0.09	7.5	19	37	26	23	20	4.8	9.3	11	31	34	21
co	448	408	694	792	904	628	454	661	515	584	430	1	1	855	1	874	438	754	945	26	52
o3	22	18	12	12	7.3	9.7	22	9.3	18	23	27	21	25	12	5.6	13	17	18	19	19	21
so2	9.2	5.3	5.6	8.2	9.6	18	21	5.9	4.8	3.3	3.3	7.7	9.5	5.1	12	7.6	7.2	4.5	-	-	9.6

Punjab Agricultural University, Ludhiana - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04	2018-03
co	257	227	384	554	341	630	5.8	13	7.4	-	-	-	-	-	-	543	811	736	696	630	14	24
o3	34	33	19	25	17	15	13	23	21	15	18	16	40	39	19	15	13	23	19	-	4	5.3
pm25	30	20	28	48	43	74	67	69	35	31	37	44	35	47	61	50	59	24	20	62	67	74
no2	100	24	47	30	25	21	33	37	22	20	13	64	49	-	26	11	14	18	13	20	20	27
so2	6	5.5	9.3	9.4	6.7	7	4.8	9	6.7	4.9	5.6	6	11	22	7.4	11	10	8.8	16	13	10	13
pm10	66	44	61	100	87	126	141	122	90	99	84	91	61	90	94	112	91	48	48	129	155	83

RIMT University, Mandi Gobindgarh - PPCB

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	2019-02	2018-11	2018-10	2018-09	2018-08	2018-05	2018-04	2018-03	2018-02	2018-01	2017-12	2017-11	2017-10	2017-09	2017-08	2017-07	2017-06	2017-05	2017-04	2017-03
pm25	52	30	44	67	100	129	92	63	26	29	19	49	26	52	60	77	-	-	-	48	63	121	63	78	98	150	127	78	37	33	66	77	73	89
no2	8.3	10	12	14	16	13	26	15	-	10	11	11	11	11	-	18	16	14	25	39	17	31	45	26	60	103	37	11	11	12	36	11	32	35
co	798	298	341	426	513	609	677	549	670	628	759	755	392	408	556	665	1	552	479	1	27	68	1	1	1	966	793	871	525	813	783	542	662	522
pm10	129	64	81	151	153	167	191	121	61	55	60	152	80	163	142	129	124	57	64	107	117	109	100	131	160	276	236	155	100	125	173	212	193	202
so2	22	4.5	13	48	28	11	24	11	11	9.1	3	9.7	7.2	9.6	11	12	11	10	37	21	16	21	8.3	13	9.6	8.4	7.8	16	4.2	12	29	22	13	12
o3	20	18	15	17	10	10	12	15	12	11	8.3	22	28	26	22	18	33	18	28	13	23	18	-	-	-	-	-	-	-	-	-	-	-	-

* Pollution data source: https://openaq.org (caaqm) The data is licensed under CC-By 4.0