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

Wuppertal Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.0312500000000004	0.6		6.4125000000000005	2.3
	1.8375000000000001	-0.6		5.98125	1.3
	1.9	-2.2		5.793749999999999	0
	1.56875	-2		4.874999999999999	0.3
	1.2625	-6.7		5.1125	-1.8
	1.5937500000000002	-7.1		5.2625	-1.2
	1.06875	-6.9		5.156249999999999	-1.8
	1.4375	-4.3		5.343749999999999	1.3
	1.4874999999999998	-0.2		5.387500000000001	4.6
	0.7749999999999998	-9.1		4.59375	1.5
	0.7062499999999999	-9.6		4.5687500000000005	-1
	0.9062500000000002	-2.9		4.73125	4.7
	1.425	4.1		4.9437500000000005	6.1
	0.9750000000000001	3.9		4.45	6.3
Jan.	0.75	5		4.631250000000001	7.4
	0.2937499999999999	4.3		3.7750000000000004	7.8
	-0.5250000000000001	2.6		3.6	6.4
	-1.10625	0.8		3.5625000000000004	6.8
	-1.4312500000000001	-1		3.0812500000000003	7.1
	-1.5750000000000004	-0.9		2.60625	7.2
	-1.45625	-2		3.4749999999999996	6.2
	-0.6562499999999999	-0.5		3.71875	6.7
	0.08750000000000005	2.4		4	6.9
	0.26875	-0.5		4.53125	5.9
	-0.15000000000000008	-1		4.04375	5.5
	0.1312499999999999	-0.5		4.1875	0.9
	0.6875000000000001	-1.9		5.05625	5.5
	1.2062499999999998	1.4		5.581250000000002	3.3
	1.3249999999999997	0.9		5.30625	2.4
	0.7625000000000001	-0.5		5.2375	3.9
	0.31875	1.5		4.525	6.2
	0.6	1.9		4.662499999999999	6
	0.8312499999999998	1.2		5.343750000000001	3
	1.4124999999999999	-0.7		5.4375	3.1
	0.7999999999999999	1.5		5.481249999999999	6.1
	1.15625	0.5		5.5	5.5
	0.9874999999999999	1.9		5.2124999999999995	6.1
	-0.19374999999999992	4.8		4.7125	9.1
	-0.7499999999999999	2.7		4.7562500000000005	8.8
	-0.6000000000000002	1.3		4.3999999999999995	5.7
	-0.6749999999999999	2.6		4.44375	7.5
	-0.225	5.4		4.31875	8.7
	-0.7062499999999999	5.3		4.14375	8.2
	-0.7812500000000002	0.6		5.3125	6.2
	0.30625	-3.3		6.04375	0.6
Feb.	1.7625	-3.9		7.106249999999998	2.6
	2.3	-0.2		8.0125	4.1
	2.1750000000000003	-0.3		7.43125	2.8
	2.6125	-1.8		7.4624999999999995	1.8
	1.6562499999999998	0.5		6.4875	2.1
	1.4625	-0.7		7.6625	5.6
	2.8062500000000004	5.2		8.00625	9.4
	2.56875	8.7		8.25625	10.4
	2.1125	6.9		8.075000000000001	9
	2.7249999999999996	6.6		8.0125	8.2
	2.4375	8		7.8374999999999995	14
	1.90625	7.8		7.1812499999999995	15.7
	1.3812499999999999	9.1		7.05	16.5
	0.9875	6.3		7	11.3
	1.5250000000000004	3.1		7.41875	11.5
	1.4937500000000001	4.9		8.174999999999999	12.7
	1.9000000000000001	6		8.60625	14.3
	2.0875	6.3		9.075	14.6
	1.6187499999999997	6.6		8.1875	14.9
	1.475	6.9		8.31875	16
	1.65	7.8		8.6625	15.9
	1.9312500000000004	7.5		9.118750000000002	16.2
	2.8562499999999997	6.9		9.58125	15.6
	2.3	8		10.112499999999999	15.2
	2.8124999999999996	5.5		9.16875	9.9
	2.59375	4.5		9.48125	11.2
	2.6375	3		9.4	8.9
	2.48125	1.4		9.175	3.1
Mar.	2.8937500000000003	1		9.718749999999998	6.5
	2.96875	3.5		10.706249999999999	7.5
	3.1250000000000004	4		9.8375	10.9
	2.9375000000000004	3.5		10.356249999999998	12.1
	3.593750000000001	4.7		10.493749999999999	14.3
	3.1937500000000005	5.2		11.23125	12.4
	3.6624999999999996	5.3		11.206249999999999	13
	3.55625	3.5		11.24375	13.9
	3.8249999999999997	5.2		11.793750000000001	12.7
	3.70625	5.8		11.962499999999999	13.9
	3.3937499999999994	2.4		11.218749999999998	10.1
	3.275	-0.5		10.65625	4.8
	2.9	-1.4		11.787500000000001	7.2
	3.8687499999999995	1.2		12.71875	6
	5.112500000000001	-0.1		13.13125	8.4
	4.79375	2.7		12.862499999999999	6.7
	5.262499999999999	0.3		12.437500000000002	7.8
	4.3187500000000005	0.2		11.1625	12.3
	3.44375	1.4		11.61875	10.3
	4.3	0.6		11.95	11.9
	4.64375	9.1		11.700000000000001	13.4
	3.6562500000000004	7		11.41875	12.9
	4.15625	2.8		12.3625	12.8
	5.20625	3.1		14.562499999999998	15.4
	5.20625	3.7		13.46875	19.2
	5.14375	6.8		14.812499999999996	19.7
	5.324999999999999	5.1		14.21875	11.5
	5.387499999999999	4.2		13.5625	18.5
	5.375	4.1		13.643749999999995	12.6
	5.8999999999999995	5.5		13.637500000000003	10.5
	4.831250000000001	4.5		14.618749999999997	15
Apr.	5.199999999999999	5.1		14.256250000000001	16.5
	4.8625	9.5		13.725	17.2
	4.9937499999999995	8.3		14.256250000000001	19.5
	5.2125	9.9		14.29375	18.2
	5.5874999999999995	4.8		15.487499999999999	12.7
	6.18125	3.4		15.918750000000003	11.2
	6.04375	3.7		15.637499999999998	13.4
	6.45625	2.5		15.743749999999999	16.1
	6.762499999999999	3.5		15.80625	17.4
	6.050000000000001	2		16.125	17
	6.7437499999999995	3.2		15.031250000000002	16.8
	5.875	3.1		14.368750000000002	15.6
	5.33125	4.3		13.843749999999996	17.3
	6.137499999999999	6.1		15.46875	18.2
	7.20625	5		16.35625	17.5
	7.531249999999998	4.8		16	18.7
	7.5625	8.4		16.3	21.8
	7.0874999999999995	10.9		15.656249999999998	24
	6.64375	12.4		15.593750000000002	19.9
	6.55625	9.3		14.525	18.5
	6.075000000000001	10.3		15.58125	14.6
	6.937500000000001	6.8		16.343750000000004	8.7
	8.18125	5.7		16.349999999999998	14.3
	8.575000000000001	4		17.5625	15.6
	9.39375	6.5		18.868749999999995	19.7
	9.60625	8.2		18.31875	19.6
	9.7125	2.9		18.443749999999998	12.2
	9.181250000000002	2.4		17.325	11
	8.13125	6.2		16.837500000000002	12.2
	8.00625	3.1		16.987500000000004	8.5
May	7.6625	1.3		16.6625	13.2
	7.800000000000001	3		16.181250000000002	13.7
	7.843750000000001	3.1		15.95	12.8
	8.03125	7.7		17.606249999999996	15
	9.012500000000001	5.7		18.406250000000004	16
	9.456249999999999	10.7		18.80625	16.8
	10.343749999999998	8.2		19.581249999999994	18.3
	10.43125	10.1		19.83125	25.1
	10.4125	13.6		18.950000000000003	28.2
	9.493749999999999	14.6		17.83125	26
	9.687499999999998	12.1		17.625	26.9
	10.349999999999998	14.1		17.931250000000002	30.9
	10.381250000000001	12.7		19.206249999999997	23.5
	10.437499999999998	8.6		19.38125	23.4
	10.0875	12.5		19.03125	30.3
	10.56875	15		19.39375	25.6
	11.381250000000003	12.7		20.031249999999996	19.7
	11.10625	11.6		19.21875	21.4
	11.4	12.4		20.837500000000002	20.2
	12.0875	10.7		21.393749999999997	18.5
	12.087499999999999	11		21.756249999999998	16.3
	12.443750000000001	9.6		21.649999999999995	17
	11.700000000000001	9.1		20.63125	21.7
	11.825	10.6		20.5125	18.3
	12.48125	10.5		20.89375	21.5
	12.15625	9		20.962500000000002	17.1
	12.518749999999999	7.2		21.45	17.2
	12.450000000000001	6.7		21.34375	16.2
	12.19375	10.1		20.581249999999997	16.7
	11.83125	10.3		21.10625	18.3
	12.29375	8.6		21.900000000000002	17.3
Jun.	12.85625	7.3		20.893749999999997	15.9
	12.175000000000002	11.3		20.74375	24.7
	12.725	12.5		22.481249999999996	24.1
	14.112499999999999	15.7		23.4	30.2
	14.024999999999999	18.7		21.843750000000004	34.6
	13.325	18.1		21.1625	31.9
	12.875	18.6		21.325	32.3
	13.593750000000002	17.2		22.63125	28.7
	12.468750000000002	16.4		20.968749999999996	30
	13.25625	19.2		22.224999999999998	34.7
	14.34375	21.6		23.0125	34.2
	14.118749999999999	22		22.93125	37
	13.78125	21.2		23.487499999999997	38
	14.693750000000001	19.6		23.575	32.2
	15.1	17.4		23.73125	27.8
	14.09375	15.4		23.49375	25.9
	14.324999999999998	13		22.150000000000006	25
	14	12.1		23.33125	25.2
	13.150000000000002	9.3		22.318749999999998	24
	13.6625	10.4		23.325	24.9
	14.356250000000001	14.6		23.2875	20
	14.056250000000002	13.4		22.537499999999994	27.3
	13.912500000000001	16.5		22.549999999999997	28
	13.125	14.6		22.293750000000003	22.4
	14.181250000000002	12.8		22.325	26.4
	13.837499999999999	14.1		23.174999999999997	27.1
	14.881250000000001	14.8		23.537499999999998	29.2
	14.350000000000001	15.8		22.706249999999997	29.7
	13.79375	14.3		21.531250000000004	30
	13.83125	16.3		21.875000000000004	29.2
Jul.	13.518749999999999	15.4		21.668749999999996	28
	13.93125	15.6		22.7375	28
	14.3625	16		22.95	28.8
	14.63125	13		24.600000000000005	22
	15.78125	10.5		26.081250000000004	21.1
	16.15	8.6		25.075	22
	15.643749999999999	8.9		24.231250000000003	24
	15.600000000000003	10.1		23.656250000000004	20.5
	14.731250000000001	11.6		24.137500000000003	22.9
	15.618750000000002	9.4		24.10625	23.8
	15.0125	14.6		24.356249999999996	28.7
	15.393749999999997	15.5		24.15	22.6
	15.818750000000001	13.5		23.3125	22.4
	15.3625	12.5		23.000000000000004	27.8
	15.01875	18.6		22.462500000000002	33.3
	14.231250000000001	18.2		22.568749999999998	35.9
	14.59375	17.8		22.7625	29.5
	15.175	13.8		23.906249999999996	25
	15.781250000000002	14.6		25.10625	29.7
	16.03125	19.6		23.8375	33.8
	15.625000000000002	18.5		23.700000000000003	33
	14.862499999999999	18.2		22.63125	29.9
	14.537499999999998	14.2		23.60625	25.1
	14.975	10.6		24.449999999999996	23.1
	15.037500000000003	11.7		22.8	27.8
	15.000000000000002	17		23.50625	31.5
	14.7125	17.1		22.93125	28.9
	14.5125	10.9		23.60625	24.7
	15.143750000000002	12		23.7625	30
	15.868749999999999	16.5		24.843749999999996	33.2
	15.78125	19.4		25.412500000000005	36.1
Aug.	16.343750000000004	19.8		23.5125	34.2
	15.218749999999996	14.7		23.331250000000004	24.2
	15.000000000000004	-1.1		21.46875	18.3
	14.893749999999999		12.1	22.512500000000003		17.5
	14.1125		14.2	22.8625		20.5
	14.03125		13.7	23.950000000000003		19.9
	14.868749999999999		11.9	24.3125		21.2
	15.218749999999998		12.2	23.474999999999994		19.1
	14.906249999999998		11.5	23.70625		13.6
	14.43125		11.5	23.225000000000005		16.8
	14.425000000000002		10	23.368750000000002		19
	14.587499999999999		13.6	23.099999999999998		22.8
	14.3125		13.5	21.712500000000006		22.5
	13.61875		12.9	22.743749999999995		22.6
	14.15625		12.9	22.6125		22.2
	14.287500000000001		12.8	22.131249999999994		21.4
	13.3125		12.4	21.4625		21.5
	12.25625		11.6	19.731250000000003		20.2
	12.350000000000001		11.4	21.48125		21.7
	13.09375		12.2	22.056249999999995		21.2
	13.787499999999996		12.8	22.387500000000003		21.3
	14.343749999999998		13	22.40625		22.2
	13.506250000000001		12	22.41875		21.9
	13.112499999999999		12.1	20.618750000000002		21.2
	12.90625		12.3	20.787499999999998		20.9
	13.28125		12.4	20.943749999999998		20.9
	13.306249999999999		12	20.775000000000002		20.3
	13.343750000000002		11.7	21.062499999999996		20.6
	12.587500000000004		11.3	20.53125		20.1
	12.51875		11.4	19.15625		18.8
	11.537500000000001		10.7	19.28125		19.1
Sep.	12.062499999999998		11	19.631249999999994		19.7
	11.893749999999999		11.1	20.0125		19.1
	11.687499999999996		10.2	19.193749999999998		18.7
	11.55625			19.05
	11.03125			18.981250000000003
	11.48125			19.706249999999997
	10.456249999999999			19.374999999999996
	10.45625			18.949999999999996
	10.225			18.26875
	10.343749999999998			17.91875
	10.631250000000003			18.28125
	10.74375			17.3125
	10.706249999999999			17.4375
	10.606250000000001			17.518749999999997
	10.40625			17.287499999999998
	9.206249999999999			16.65
	9.549999999999999			17.425
	9.98125			17.06875
	9.406250000000002			16.68125
	10.05			16.58125
	9.999999999999996			15.812500000000002
	9.05			15.43125
	8.9375			15.375
	9.48125			15.18125
	8.693750000000001			15.65625
	9.1875			16.125
	8.4375			14.98125
	7.8374999999999995			14.531250000000002
	8.775			14.9875
	7.812499999999999			14.5625
Oct.	7.843750000000001			13.887500000000003
	7.674999999999999			14.218749999999998
	8.643749999999999			14.6125
	8.38125			14.812499999999998
	9.15625			15.46875
	9.287499999999998			14.1
	8.19375			14.206249999999999
	8.4125			13.712500000000002
	8.031250000000002			14.250000000000002
	8.20625			13.9125
	8.481250000000001			13.056249999999995
	8.725			13.712499999999999
	7.5562499999999995			13.00625
	6.825			12.575000000000001
	7.78125			13.249999999999998
	7.643750000000001			12.5625
	7.69375			13.225
	7.95625			13.462499999999999
	7.73125			12.9
	7.54375			12.4875
	6.96875			12.15625
	6.606249999999999			11.625000000000002
	6.03125			11.418750000000001
	6.48125			10.893750000000002
	6.506249999999999			11.068750000000003
	6.2125			10.9125
	5.974999999999999			10.70625
	5.05			10.0875
	5.65625			10.387499999999998
	5.825000000000001			10.875000000000002
	5.2250000000000005			9.768750000000002
Nov.	5.4375			9.74375
	4.3999999999999995			8.981250000000001
	4.325			8.69375
	4.656249999999999			8.1625
	4.25625			8.393749999999999
	3.1000000000000005			7.775
	2.69375			7.125
	2.3937500000000003			6.65625
	3.875			7.899999999999999
	3.225			7.58125
	2.8499999999999996			7.187500000000001
	2.8812499999999996			6.88125
	2.9875			6.73125
	2.4937500000000004			6.50625
	1.9625			6.043749999999999
	0.80625			5.3187500000000005
	0.7750000000000001			4.85625
	0.85			4.96875
	1.1875			4.9625
	0.68125			5.1187499999999995
	1.05625			4.8375
	1.6124999999999998			5.3625
	2.1750000000000003			6.068749999999999
	2.15625			6.10625
	1.71875			5.6312500000000005
	1.3625			5.187500000000001
	1.98125			5.4312499999999995
	1.53125			5.293749999999999
	1.1875			4.906250000000001
	1.0875			4.6625
Dec.	1.5250000000000004			5.70625
	2.2624999999999997			6.65625
	3.4625			6.99375
	3.2312499999999997			6.587500000000001
	3.6875000000000004			7.5062500000000005
	3.36875			7.15625
	3.0749999999999993			6.7437499999999995
	4.1375			7.487500000000001
	4.462500000000001			7.64375
	4.2375			7.687499999999999
	2.8999999999999995			7.00625
	2.75			6.5625
	2.4062500000000004			6.5
	1.9375			5.7375
	1.8187499999999999			5.843749999999999
	1.9812500000000002			6.237500000000001
	3.44			7.393333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

27 Jun. 26

-10°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust28.74°C

Coldest MonthJanuary-1.06°C

Wettest MonthMay4mm

Windiest MonthFebruary18.57km/h

Wuppertal 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 Wuppertal historically?

August is historically Wuppertal's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2019-07-25.

2. What is the coldest month in Wuppertal historically?

January is Wuppertal's coldest month, with average minimum temperatures around 1°C. The all-time record low of -12°C was recorded on 2012-02-07.

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

Wuppertal's average annual rainfall is approximately 1115.3mm, based on records spanning 17 years.

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

Wuppertal historically records approximately 230.7 rainy days per year. January has the highest number of rain days at an average of 22.7 days.

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

The all-time highest temperature recorded in Wuppertal is 39°C on 2019-07-25.

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

The all-time lowest temperature recorded in Wuppertal is -12°C on 2012-02-07.

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

Wuppertal experiences its strongest winds during February. The historic gust record of 50.4 kph was recorded on 2015-07-25.

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

Usually, Wuppertal's humidity peaks in January at around 85.8% and drops to its lowest in August at approximately 68.2%.

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

Wuppertal Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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

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

Wuppertal Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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

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