Yangquan Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Yangquan Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-7.28125	-6.8		2.53125	-0.3
	-7.29375	-7.4		1.7625000000000004	0.9
	-7.468750000000001	-5.3		2.4375	2.9
	-7.5875	-2.3		0.9937499999999999	1.7
	-7.58125	-4.5		0.7249999999999999	-0.5
	-8.431250000000002	-6.3		0.21875	1
	-8.037500000000001	-5.3		0.8437500000000001	1.1
	-8.50625	-6.6		0.95625	0.7
	-8.475	-3.3		0.58125	2.6
	-8.1875	-9.2		1.625	-4.5
	-7.45625	-11.1		1.1625	-0.8
	-8.05625	-2.7		1.7374999999999998	2.8
	-7.53125	-3.8		2.70625	3.2
	-7.574999999999999	-0.9		1.9812500000000002	5
Jan.	-8.299999999999999	-1.3		1.33125	8.7
	-8.2	-5.1		1.3249999999999995	1.9
	-8.081249999999999	-7.4		2.8	-4.8
	-7.1000000000000005	-8.8		2.41875	-5.3
	-7.1125	-8.8		1.65	-6
	-7.65	-13		1.2374999999999998	-4
	-8.5125	-14.2		0.45625000000000004	-2.5
	-8.987499999999999	-10.7		0.8812500000000001	0.8
	-9.162500000000001	-6.3		0.7875000000000001	2.9
	-9.2625	-6.1		-0.3375000000000001	2.2
	-8.65625	-6.4		1.975	-3.2
	-8.01875	-6.4		2.1562499999999996	4.2
	-7.51875	-4.5		1.6062499999999997	0.9
	-7.218749999999999	-4.2		2.1125000000000003	2
	-6.975	-4.8		2.7687499999999994	-2.9
	-7.106250000000002	-4.8		2.4875000000000003	1.9
	-6.931250000000001	-4.3		2.69375	3.1
	-7.331250000000001	-3.9		2.225	4.4
	-7.412499999999999	-3.5		2.8312500000000003	5.5
	-7.05	-2.9		3.15	8
	-6.699999999999999	-1.7		2.3375000000000004	7.5
	-6.93125	-3.4		3.43125	5.2
	-7.3999999999999995	-8.1		2.21875	-4.2
	-7.59375	-10.8		1.2125000000000001	-0.8
	-7.4312499999999995	-9		2.6187500000000004	3.7
	-6.887499999999999	-4.6		3.01875	3.2
	-6.68125	-3.7		3.64375	4.6
	-6.1	-4.2		4.525	8.1
	-5.737500000000001	-1.6		3.98125	10.5
	-5.468750000000001	-1		4.918750000000001	12.2
	-5.724999999999999	1		4.16875	14.4
Feb.	-6.206249999999999	-1.7		4.5875	3.7
	-5.70625	-3.1		4.3125	4.4
	-5.593750000000001	-2.7		3.7687500000000003	7.5
	-4.374999999999999	-3.5		5.800000000000001	8.6
	-4.268750000000001	-0.3		5.981249999999999	11.4
	-4.8875	1.6		4.94375	15
	-4.3062499999999995	3.9		6.049999999999999	15.8
	-4.6000000000000005	0.1		6.38125	6.6
	-4.6937500000000005	-2.5		7.51875	6.4
	-3.7374999999999994	-2.5		6.3500000000000005	11
	-3.11875	-0.8		7.137500000000001	12.6
	-3.0062499999999996	1.3		7.6187499999999995	4.3
	-2.80625	0.2		7.406250000000001	1.9
	-2.3812500000000005	-0.5		7.5875	1.5
	-3.4750000000000005	-1.5		7.15625	1.5
	-3.3999999999999995	-4.8		9.2125	3.3
	-1.6625	-2		10.1875	9.4
	-1.90625	-1.4		9.343749999999998	2.9
	-2.78125	-0.3		9.1875	7.1
	-1.9562499999999998	-1.1		8.543750000000001	3.9
	-2.16875	-0.5		10.206249999999999	6.6
	-1.7125	0.3		10.98125	11.6
	-2.175	0.5		10.2375	9.5
	-0.8187499999999999	1.5		12.2625	14.9
	-0.6999999999999997	2.2		12.18125	9.9
	-0.4624999999999999	0.8		12.15	12.6
	0.36250000000000004	1		12.556249999999997	9.9
	0.54375	1.5		12.99375	4.8
Mar.	-0.08125000000000004	-0.5		12.756250000000001	8.4
	0.36250000000000004	2.3		12.287500000000001	10.7
	0.9125000000000001	4.2		12.7	12.3
	0.6625000000000001	0.8		12.568750000000001	8.5
	1.475	1.1		12.950000000000001	12
	0.37499999999999994	2.1		12.3375	13.7
	0.20624999999999988	3.4		13.875000000000002	17.8
	1.4125	5.3		13.4	14.5
	2.1687499999999997	6.8		14.2375	14.8
	1.69375	7.1		13.46875	18.4
	2.06875	7.6		13.38125	20.5
	1.6187500000000001	11.1		15.9875	21.9
	2.34375	10.7		16.506249999999998	17.2
	2.6187500000000004	7.7		15.343750000000002	20.3
	2.3625	6.6		16.1	19.2
	3.49375	4.7		17.074999999999996	12.7
	3.64375	5.9		17.037499999999998	17
	3.618749999999999	6.2		16.575	13.6
	3.5	5.9		16.237500000000004	21.2
	2.80625	9.8		15.40625	19.5
	2.7875	4.5		14.8375	20.3
	3.5125	7.2		16.225	17.9
	2.85625	5.4		15.799999999999999	20.6
	3.96875	3.2		18.793750000000003	14.8
	4.906249999999999	5.3		17.725	12.1
	5.59375	6.2		18.675	22.5
	5.04375	8.6		17.89375	22.4
	5.418749999999999	10.4		17.25	24.3
	3.650000000000001	10.6		17.325	24.5
	5.3374999999999995	12.5		18.318750000000005	17.4
	6.0874999999999995	11.4		19.775	23
Apr.	6.65625	10.9		20.5875	24.1
	7.281250000000001	12.2		21.212500000000002	19.6
	7.487500000000001	10.6		21.2125	25.7
	6.912499999999999	12.2		20.081249999999997	27.4
	7.26875	9.8		19.58125	23.2
	6.956250000000001	4.7		19.906250000000004	17.9
	7.250000000000002	8.1		17.2625	19
	6.018750000000001	6.6		18.54375	21
	7.2625	9.3		20.7	24.4
	7.231249999999998	12		19.48125	25.6
	6.9625	10.6		20.58125	26.3
	8.0375	14.9		21.349999999999998	21.7
	8.225	11		20.1625	19.5
	7.78125	9.3		21.00625	16.5
	8.606250000000001	6.4		23.181250000000002	21
	9.31875	8.7		22.6375	25.2
	9.437499999999998	12.9		24.231249999999996	25.9
	10.700000000000001	10.8		24.0875	21.5
	10.625000000000002	7.7		23.200000000000003	20.5
	10.46875	8.2		23.79375	26.8
	10.6125	13.5		23.137500000000003	29.7
	10.25625	15.3		22.393749999999994	25.7
	10.124999999999998	9.2		22.63125	19.7
	11.149999999999999	8.5		21.125	26
	9.418750000000001	13.4		21.362499999999997	29.5
	10.112499999999999	13.8		21.50625	29.5
	10.656250000000002	13.8		23.893749999999997	27.1
	11.181249999999997	15.3		24.28125	33.5
	11.387500000000001	18.6		25.41875	34.3
	11.731249999999998	17		25.000000000000004	31.3
May	12.14375	16.8		24.75625	28.1
	12.068749999999998	15.1		25.168749999999996	22.3
	13.243749999999999	14.8		26.199999999999996	16.4
	12.974999999999998	14.1		27.58125	24.7
	13.762500000000003	14		26.79375	23
	12.68125	14.3		26.212500000000002	19.3
	13.493749999999999	12.8		25.912499999999998	24.8
	12.262500000000001	13.8		26.199999999999996	23.3
	12.93125	13.9		26.375000000000004	28.4
	13.19375	17.1		27.006249999999998	26.9
	13.9625	14.5		26.4125	16.1
	14	13.9		26.025000000000006	20.6
	13.23125	12.7		26.6625	26.9
	14.793750000000003	13.1		28.168750000000003	24.4
	14.78125	14.6		27.700000000000003	27.5
	14.562499999999998	15		27.925	30.3
	14.437500000000004	16.9		27.7125	29.3
	14.762500000000001	17.3		27.181249999999995	31.9
	14.69375	18		28.837500000000002	33.3
	15.056249999999999	17.1		27.787499999999998	33.4
	15.649999999999999	14.8		27.63125	28
	15.40625	12.8		28.125	24.3
	15.562500000000004	10.9		27.793749999999996	15.4
	15.468749999999996	9.4		28.80625	23.7
	15.468749999999998	11.9		27.9625	27.5
	15.543750000000001	11.9		27.406249999999996	24.4
	15.8875	12.6		28.2875	25.4
	15.074999999999998	13.3		29.349999999999998	28.5
	16.3	16.7		30	31.7
	16.18125	15.3		28.506249999999998	30
	16.3875	14.9		30.012500000000003	29.1
Jun.	16.562500000000004	16.9		29.106249999999996	30.4
	16.8625	16.5		29.437500000000004	32.1
	17.025000000000002	17.7		29.575	30.8
	17.2625	19.1		30.043750000000003	30.6
	17.375000000000004	16		28.99375	22.1
	17.09375	14.9		30.10625	28.3
	17.775	14.8		30.25	23
	17.9375	13.6		29.400000000000002	29.3
	17.975	16.6		30.968750000000007	31.1
	17.818749999999998	18		29.131250000000005	29.4
	17.65	17		29.3375	26.9
	16.4	16.7		29.906249999999993	28.9
	17.425	17.1		30.718750000000004	32.6
	18.0875	15.5		30	31.6
	18.025	16.5		29	27.6
	18.050000000000004	15.9		29.625000000000004	29.6
	17.6125	15.9		29.918750000000003	31
	17.74375	19.1		29.2875	33.7
	17.6375	19.9		29.031249999999996	35.2
	18.093750000000004	21.2		31.0375	36.2
	18.81875	17.9		30.3125	31.8
	18.45	17.2		29.812499999999996	31.7
	18.64375	18.2		30.775000000000002	30.2
	18.918750000000003	18.6		29.6625	33.7
	18.66875	20.3		27.468750000000004	36.9
	18.125	21.1		27.81875	31.2
	18.018749999999997	21.8		28.950000000000003	30
	18.4875	21.9		29.018750000000004	28.5
	18.49375	21.6		30.337499999999995	29.4
	18.837500000000002	19.9		29.325000000000003	33
Jul.	18.94375	19.1		27.98125	32.2
	18.156249999999996	19.8		28.318749999999998	29.2
	18.018749999999997	17.5		28.787499999999998	26.9
	18.1375	17.4		27.83125	28.9
	18.175	17.1		28.4625	32.6
	18.2	19.5		29.225000000000005	32.1
	18.556249999999995	16.7		29.406250000000004	32.9
	18.78125	17.6		27.49375	28
	18.26875	18.1		30.087500000000002	28.6
	19.03125	18.1		30.543749999999996	25.9
	19.125	18.2		30.025000000000002	27.3
	19.375	18.3		29.968749999999996	28.9
	19.21875	18.6		29.237499999999994	28.8
	19	18.8		28.837499999999995	28.7
	19.0125	19.8		28.768749999999997	28
	18.8125	20.1		30.293749999999996	29.5
	19.193749999999998	20.1		29.2875	28.4
	18.7625	19.9		28.24375	31.5
	18.812500000000004	20.8		29.13125	31.8
	18.85	19.7		30.424999999999997	27.6
	19.56875	18		30.20625	25.8
	19.43125	17.5		29.606250000000003	28.6
	18.825	18.9		28.25625	28.9
	18.84375	19.7		27.91875	30.8
	18.656250000000004	17.8		27.9625	24.9
	18.018750000000004	16.4		27.73125	27.2
	18.15	16.3		28.112499999999994	28.4
	18.51875	17.7		28.643749999999994	27.2
	18.681250000000002	18		29.025000000000002	21.1
	18.1375	16.6		27.81875	25.7
	18.074999999999996		17	28.0625		26.3
Aug.	17.8625		16	28.675		28
	17.24375		16.8	27.568750000000005		26.4
	17.05625		16.9	25.9125		28.6
	17.38125		18.8	25.881249999999998		23.8
	17.56875		18	26.325		28.5
	16.937500000000004		17.1	26.512500000000003		29.4
	16.85625		17.2	26.85		28.8
	16.30625		17.5	25.981249999999996		27.8
	16.174999999999997		16.2	26.03125		26.4
	15.762500000000001		16.1	25.056249999999995		24.9
	15.7875		15.7	26.168750000000003		25.8
	15.181249999999999		15	24.981249999999996		24.5
	15.037500000000001		14.7	23.75625		24.6
	14.625		14.6	24.706249999999997		24.8
	14.6375		14.8	25.41875		25.1
	14.737499999999999		15	25.575000000000003		25.5
	14.94375		14.6	25.775000000000002		25.3
	15.131250000000003		15.3	24.7375		24.3
	15.499999999999998		14.6	25.150000000000002		24.8
	14.468750000000002		14.4	24.512500000000003		24.3
	14.175		14.3	24.237499999999997		24.9
	13.9875		14.6	25.125		24.5
	14.049999999999999		13.7	24.70625		24.1
	13.73125		13	25.4625		24.9
	14.09375		13.9	25.3625		24.7
	14.225		13.8	24.637500000000003		24.6
	14.075		13.8	23.90625		23
	13.4875		13.3	23.174999999999997		22.8
	13.3		12.8	22.956250000000004		22.7
	13.518749999999999		13.2	23.650000000000002		24
	13.749999999999996			23.3875
Sep.	13.3625			22.449999999999996
	12.8875			22.14375
	12.525000000000002			22.20625
	12.312500000000002			21.093749999999996
	11.787500000000001			20.637500000000003
	11.756249999999998			22.70625
	11.09375			21.549999999999997
	11.28125			21.6
	10.624999999999998			21.03125
	10.99375			21.562499999999996
	11.456250000000002			21.775
	11.412499999999998			21.76875
	11.86875			21.556250000000006
	11.25625			21.156249999999996
	10.95625			21.7
	10.231250000000001			20.981249999999996
	10.30625			19.76875
	9.668750000000001			19.993750000000002
	9.212500000000002			20.10625
	8.681249999999999			20.237499999999997
	8.29375			18.025
	8.15			17.931250000000002
	8.21875			18.825
	8.125000000000002			18.212500000000002
	7.40625			17.468749999999996
	7.481249999999999			16.1875
	6.637499999999999			18.03125
	7.218749999999999			16.8125
	7.1625			18.3
	7.6187499999999995			16.799999999999997
Oct.	7.268750000000001			17.61875
	7.143750000000001			15.743750000000002
	6.2749999999999995			15.831249999999997
	5.6			15.399999999999999
	5.73125			15.918750000000001
	5.5687500000000005			15.71875
	5.7375			15.531249999999996
	5.231249999999999			15.412499999999996
	5.387499999999999			15.03125
	4.2125			15.26875
	4.85625			14.956250000000002
	4.86875			14.831249999999999
	4.89375			14.9875
	5.09375			14.168750000000001
	4.2			13.8125
	4.40625			15.04375
	4.36875			14.725
	4.7875			13.63125
	4.175000000000001			14.393750000000002
	3.45625			13.10625
	2.76875			13.531249999999998
	2.662499999999999			11.481249999999998
	2.0687499999999996			11.65
	1.2750000000000004			10.025
	1.2500000000000002			11.156249999999998
	1.075			11.575
	1.15625			10.1
	1.2875			9.768749999999997
	0.625			10.743749999999999
	0.33749999999999997			9.837499999999999
	0.63125			10.674999999999999
Nov.	1.0875			9.631249999999998
	-0.36874999999999997			8.55
	-0.43125			8.712500000000002
	-0.7312499999999997			8.73125
	-0.2375			9.068750000000001
	-0.4125000000000002			9.606250000000001
	-0.8187499999999999			7.60625
	-1.58125			6.656250000000002
	-2.73125			6.025
	-3.56875			4.96875
	-3.7750000000000004			6.025
	-3.8687500000000004			6.3687499999999995
	-3.4250000000000003			4.93125
	-2.9375			6.15
	-4.45			3.3625
	-5.206249999999999			3.7437499999999995
	-5.418749999999999			3.275
	-4.9125			4.39375
	-4.581249999999999			4.275000000000001
	-4.475			4.56875
	-4.24375			4.80625
	-4.781249999999999			3.6437500000000003
	-4.6499999999999995			4.106249999999999
	-4.862499999999998			3.7687500000000003
	-5.249999999999999			3.8125
	-5.65625			1.9000000000000004
	-6.262499999999999			1.28125
	-6.8500000000000005			1.34375
	-6.6000000000000005			1.2875
	-7.03125			0.13749999999999996
Dec.	-7.85625			-0.5937500000000003
	-8.418750000000001			0.06874999999999987
	-7.893750000000001			1.09375
	-6.35625			2.4875
	-6.793749999999998			1.7
	-7.1125			1.9375000000000007
	-6.7875000000000005			1.6687499999999997
	-6.7875			2.55625
	-7.581249999999998			0.775
	-8.19375			0.031250000000000014
	-7.7625			1.18125
	-7.793749999999999			0.35625000000000007
	-7.875000000000001			1.3312499999999998
	-7.731250000000001			1.7187499999999996
	-7.250000000000001			1.5937500000000002
	-8.606250000000001			-0.23125000000000015
	-8.713333333333333			0.6266666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

9 Jul. 26

-14°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly30.63°C

Coldest MonthJanuary-6.21°C

Wettest MonthJuly7.71mm

Windiest MonthApril21.53km/h

Yangquan Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Yangquan historically?

July is historically Yangquan's hottest month, with average maximum temperatures around 29°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2022-06-25.

2. What is the coldest month in Yangquan historically?

January is Yangquan's coldest month, with average minimum temperatures around -8°C. The all-time record low of -22°C was recorded on 2023-12-20.

3. What is the average annual rainfall in Yangquan over the past 17 years?

Yangquan's average annual rainfall is approximately 659.8mm, based on records spanning 17 years.

4. How many rainy days does Yangquan experience on average per year?

Yangquan historically records approximately 123.1 rainy days per year. July has the highest number of rain days at an average of 21.5 days.

5. What is the all-time highest temperature ever recorded in Yangquan?

The all-time highest temperature recorded in Yangquan is 39°C on 2022-06-25.

6. What is the all-time lowest temperature ever recorded in Yangquan?

The all-time lowest temperature recorded in Yangquan is -22°C on 2023-12-20.

7. What is the windiest time of year in Yangquan historically?

Yangquan experiences its strongest winds during April. The historic gust record of 48.2 kph was recorded on 2010-03-20.

8. What is the highest and lowest humidity in Yangquan during a year?

Usually, Yangquan's humidity peaks in August at around 73.03% and drops to its lowest in March at approximately 37.6%.

Recent Blogs On Weather

See all blogs

Yangquan Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Yangquan Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Yangquan Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Yangquan Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Yangquan Historic Weather Records
Analyse hottest, coldest, windiest & wettest days