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

Wilhelmshaven Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.3374999999999995	3.3		6.600000000000001	5.8
	2.34375	0.6		5.968749999999999	4.3
	2.23125	-0.6		5.51875	2.7
	1.6375000000000002	-4.1		4.812500000000001	0.5
	1.71875	-4.2		4.387500000000001	-0.5
	1.1500000000000001	-5		4.20625	-1.1
	1.23125	-3.1		4.5625	1.4
	2.125	-1.2		4.949999999999999	0.9
	1.49375	-0.9		4.775	1.5
	1.7249999999999996	-4.6		4.83125	-1.6
	1.5875000000000004	-12.4		4.6	-5.1
	1.875	-3.7		5.175	2.3
	1.7999999999999998	1.7		5.26875	2.7
	1.5499999999999998	1.3		4.3812500000000005	5
Jan.	0.8875	1.4		4.29375	7.4
	0.76875	5.5		4.000000000000001	9.4
	0.3625	3		3.3375000000000004	5.5
	-0.17500000000000002	0.4		3.2187500000000004	4.2
	-0.32499999999999984	-0.4		3.0249999999999995	4.3
	-0.5687499999999999	-1.2		2.3062500000000004	3.8
	-1.01875	-1.5		2.53125	3.4
	-0.19374999999999976	-1.6		2.63125	1.5
	-0.11874999999999988	-2		2.9875000000000003	0.3
	0.062499999999999806	-2.3		3.61875	0.6
	-0.38749999999999996	-2.1		3.0374999999999996	0.8
	-0.6812499999999997	-0.7		3.375	1.1
	0.42499999999999993	-0.2		5.0249999999999995	1.3
	1.09375	-0.9		4.5874999999999995	1
	0.7937500000000002	-0.5		4.40625	1.1
	0.4	-2.3		3.83125	0.7
	-0.4125	-1		3.6125	1.1
	-0.0937499999999998	-4		4.1	-1.2
	0.575	-5.5		4.25	-2.3
	1.09375	-6.7		4.5375000000000005	-2.4
	0.875	-3.9		4.3687499999999995	-1.3
	0.875	-3.5		4.375	-0.8
	0.45	-1.2		3.9875000000000003	2.4
	-0.7062500000000002	0.8		3.906250000000001	1.5
	-0.5312500000000001	0.4		3.4812499999999997	1.7
	0.07499999999999996	-1.2		3.9687499999999996	2.8
	-0.056250000000000105	-0.2		3.8937499999999994	4.6
	-0.025000000000000112	2.6		3.41875	4.6
	-0.51875	2.4		3.3874999999999997	4.7
	-0.4125	-1.1		4.125	1
	-0.20625000000000004	-5.2		5.01875	-0.7
Feb.	0.8062499999999999	-6.4		5.5249999999999995	-0.4
	1.6562500000000002	-2.1		6.875000000000001	2.8
	1.0812500000000003	-0.2		6.15	3.4
	1.34375	-3.6		6.3687499999999995	1.5
	1.61875	-3.5		5.6000000000000005	0.3
	1.4375	-2.1		6.61875	5.1
	2.63125	5.2		6.949999999999998	6.9
	2.55	5.9		7.437500000000001	8.8
	1.7000000000000002	5.3		6.55625	7
	1.65625	3.2		7.187500000000001	9.3
	1.69375	6.8		6.974999999999999	12.3
	1.8625000000000005	7.8		6.6312500000000005	13.1
	1.075	8.9		6.293749999999998	11.2
	1.0375	3.2		6.04375	11.3
	0.9875000000000002	2.5		6.35625	9.4
	1.06875	5.4		6.043749999999999	11.6
	1.10625	4.6		7.2125	12.4
	1.1312499999999999	1.9		7.49375	7
	1.68125	3.6		7.993750000000001	12.7
	1.2375	5.4		7.5249999999999995	13.5
	1.09375	7.1		7.3062499999999995	10.3
	0.83125	6.5		7.3687499999999995	11.9
	1.7562499999999999	5.8		7.8062499999999995	13
	1.6437499999999998	4.8		7.8687499999999995	13.4
	2.26875	4.7		7.75625	9.8
	2.19375	2.9		7.91875	10.2
	2.3437500000000004	4.5		8.41875	9.2
	2.5562500000000004	2.5		7.787499999999999	6.5
Mar.	2.04375	2		7.406250000000001	8.7
	2.59375	3.7		8.943750000000001	7
	2.725	2.7		8.306249999999999	7.2
	2.26875	3		8.79375	10.9
	2.85625	4.6		8.65625	10.8
	3.087499999999999	3.7		9.475000000000001	7.5
	3.2875	3.6		9.5875	9.2
	3.45	3.7		9.750000000000002	11.5
	3.09375	5		9.10625	8.7
	2.9875000000000003	5.3		9.9375	11.5
	3.08125	2.7		9.456249999999997	9.8
	2.6875	1.6		8.475	5.3
	2.1812500000000004	1.1		9.43125	8.2
	3.2499999999999996	3.1		9.887500000000001	7.5
	4.1499999999999995	2		10.431250000000002	8.3
	4.2375	3.7		11.0625	7.1
	4.30625	3.9		10.375	7.8
	3.0812500000000003	3.9		9.006250000000001	11.1
	3.10625	3.1		10.218750000000002	8.9
	3.84375	1.5		10.3	10
	3.85	5.6		10.075	11.3
	3.6249999999999996	6.3		9.575000000000001	12.3
	4	4.1		11.2875	9.5
	4.8375	3.8		12.71875	9.1
	4.6625000000000005	2.7		11.062499999999998	12.3
	4.4	6		11.250000000000002	13.3
	4.45625	4.4		11.568749999999998	9.7
	4.2437499999999995	3.3		11	13.3
	4.206249999999999	4.8		11.91875	12.8
	5.44375	6.6		11.94375	10.7
	4.687500000000001	6.8		11.45625	12.3
Apr.	4.36875	5.1		12.1125	15.5
	4.4312499999999995	8.1		12.162500000000001	14.9
	4.581250000000001	8.1		12.249999999999998	15.4
	4.825000000000001	7		12.368749999999999	15.1
	5.00625	5.9		13.1875	10.9
	4.893750000000001	5.3		13.424999999999999	10.2
	5.83125	3.6		13.31875	11.4
	5.925	3.4		13.9	11.6
	6.09375	5.4		13.10625	10.8
	5.56875	5.8		13.749999999999998	10.3
	5.80625	5.6		13.143749999999999	11
	5.28125	4.3		11.587499999999999	10.7
	5.05625	4.1		12.025000000000002	8.7
	5.231249999999999	5.1		13.868749999999999	13.3
	6.70625	4.7		13.30625	12.6
	6.1125	5.4		13.5875	16
	6.13125	7.3		13.525	18.9
	5.91875	10		13.10625	20.4
	5.4125	9.9		13.331250000000002	16.5
	5.95625	8.5		12.131250000000001	12.6
	5.518750000000001	8		13.61875	11.4
	6.068750000000001	8		14.2375	12.3
	6.83125	6.2		14.387500000000001	13
	7.4125	5.8		15.168750000000001	14.4
	8.05625	5.6		17.225	14
	8.73125	7.1		15.693749999999998	12
	8.268749999999999	5.6		15.956250000000002	11.1
	8.39375	5.6		14.906250000000002	9.9
	7.775	4.9		14.81875	10.9
	7.4312499999999995	5.1		14.575000000000001	10.6
May	7.275	3.3		14.39375	11.1
	7.706250000000001	5		14.78125	12
	8.424999999999999	5		14.868749999999999	14
	8.343750000000002	8.7		15.681250000000002	12.9
	8.693750000000001	7.3		16.55625	16.1
	9.125	11		17.4	15.5
	9.7875	10.4		17.162499999999998	17.6
	9.931249999999999	11.5		17.9375	19.4
	9.7375	13.7		17.362499999999997	24.1
	9.0375	11.8		17	16.9
	9.39375	11.1		15.96875	21.4
	9.65	12.8		16.675	24.2
	9.975	9.6		16.799999999999997	14.1
	9.21875	8.5		16.68125	15.1
	9.375000000000002	9.9		16.525	24
	10.4	11.6		17.475	18.5
	10.19375	10.5		18.01875	18.4
	10.418750000000001	11.2		17.312499999999996	19
	10.068750000000001	13.6		18.55625	21
	10.64375	12.9		18.69375	18.3
	10.806249999999999	12		18.481250000000003	16.8
	10.925	11.6		19.124999999999996	17.2
	10.41875	10.1		18.88125	19.3
	10.2125	11.9		17.574999999999996	17.1
	10.6875	11.7		17.868750000000002	19.8
	11.11875	10.8		18.49375	16.4
	11.1375	8.3		18.693749999999998	15.8
	11.162499999999998	8.3		18.793749999999996	15.5
	10.725	10.4		18.431250000000002	17.6
	11.44375	11.1		18.075	15.4
	11.118749999999999	10.8		19.075000000000003	15.6
Jun.	11.106250000000001	11.1		18.56875	15.3
	11.5375	8.8		18.66875	15.9
	11.7875	10.3		20.275	21
	12.362499999999999	15.9		19.868750000000002	22.6
	12.949999999999998	17.8		19.437500000000004	27.9
	11.6625	16.8		18.693749999999998	26.2
	11.275	16		18.1875	19.8
	11.824999999999998	14.3		19.70625	18.7
	12.181249999999999	12.9		19.33125	20.4
	12.575000000000001	16.5		19.906249999999996	28
	12.612500000000002	16.2		19.887500000000003	20.3
	12.862499999999999	15.7		19.9875	30.6
	12.30625	20.5		19.943749999999998	26.9
	13.2875	18.6		21.318749999999998	26.6
	13.16875	16		21.006250000000005	22.3
	12.96875	13.5		20.025000000000002	22
	13.35625	13.5		20.3875	21.3
	13.050000000000002	12.6		20.53125	20.3
	12.70625	13.4		19.974999999999998	18.3
	12.756249999999998	12		20.73125	19.2
	13.24375	15		19.700000000000003	19.1
	12.95	12.8		19.962500000000002	19.8
	12.806250000000002	15.2		20.45625	20.2
	13.06875	12.3		19.95	19
	13.299999999999997	14.7		20.349999999999998	19.9
	13.762500000000001	15.4		20.474999999999998	20.5
	14.0625	16.2		21.4875	22.2
	13.95	15.9		20.500000000000004	20.4
	13.618749999999999	13.5		19.481250000000003	22.9
	13.29375	15.8		19.8375	23
Jul.	13.287500000000001	14.9		19.881249999999998	23.6
	13.175000000000002	15.5		20.33125	23.7
	13.13125	15.7		21.19375	24.1
	13.506249999999998	13.8		21.5375	18.6
	14.143749999999999	12.8		22.656250000000004	17.5
	15.199999999999998	13.4		23.374999999999996	18.6
	14.699999999999998	14.2		22.4625	19.2
	14.268749999999999	15.2		21.175	17.5
	14.231250000000001	13.3		21.037499999999998	17.5
	14.212499999999997	12		22.975	20.6
	15.374999999999998	13.6		22.275000000000002	24.7
	14.84375	15.1		22.38125	19.7
	15.0125	13.5		21.818749999999998	19.3
	14.525	12.6		21.993750000000002	24.2
	14.181250000000004	17.6		20.56875	29.7
	14.0875	16.8		20.3625	30.2
	13.850000000000001	15.4		20.343750000000004	22.4
	13.681250000000002	13.6		21.05	20.4
	14.137500000000003	12.4		22.681249999999995	21.6
	15.081249999999997	14.6		22.524999999999995	26.7
	14.668750000000001	17.6		21.806250000000002	29.7
	13.750000000000002	17.9		20.712500000000002	26.2
	13.518749999999999	14.6		22.09375	21.8
	14.037499999999998	13.9		22.05	19.5
	14.05625	11.8		21.193749999999998	23.4
	13.737499999999999	15.3		21.36875	27
	14.200000000000001	13.7		20.662499999999998	20.1
	13.893749999999999	12.7		21.03125	18.8
	13.99375		11.1	21.362499999999997		22.1
	14.031249999999998		15.1	22.55625		29.6
	14.781249999999996		18.3	22.78125		34
Aug.	14.981250000000001		17.2	22.412500000000005		22.7
	14.674999999999999		14.2	21.18125		18.9
	14.59375		13	20.637500000000003		20.3
	13.81875		13.7	20.20625		20.8
	13.718750000000002		15	20.624999999999996		18.4
	13.718750000000002		14.3	21.25		21.7
	13.9		13.8	21.95		21.3
	14.29375		13.9	20.95		20.7
	13.96875		13.8	21.149999999999995		21.5
	13.912500000000001		13.9	21.275000000000002		21.9
	13.64375		14	21.325		21.1
	14.15625		14	21.56875		21.4
	13.775		13.8	20.14375		20.4
	13.44375		13.7	20.525000000000002		21.1
	13.299999999999997		13	21.18125		20.6
	13.35		13.1	20.318749999999998		19.5
	13.118749999999999		13	19.7625		19.7
	12.687500000000002		12.7	18.687500000000004		19.2
	12.0625		12.1	19.1625		19.6
	12.581249999999999		13.1	20.7125		20.2
	13.40625		13.4	20.56875		20.5
	13.425		13.3	20.618749999999995		20.4
	13.306250000000004		13.2	20.393750000000004		20.2
	13.062500000000002		13	19.575000000000003		19.8
	12.881250000000001		13.3	19.09375		19.8
	13.368750000000002		13.3	20.118750000000002		19.9
	13.1375		13	19.625		19.2
	13.362499999999999		12.8	19.45625		18.9
	12.25625			18.700000000000003
	11.831249999999997			17.64375
	11.612499999999999			18.03125
Sep.	11.875000000000002			18.075000000000003
	11.612499999999999			17.9375
	11.487499999999999			17.706249999999997
	11.79375			17.575000000000003
	11.125			17.6625
	11.868749999999997			17.756249999999998
	11.031249999999998			17.556250000000002
	10.468750000000002			17.525
	10.95625			17.0625
	10.925			16.724999999999998
	10.837499999999999			16.6875
	10.893749999999999			16.50625
	10.68125			16.775
	10.35			16.1375
	10.168750000000001			16.3125
	9.725000000000001			15.8875
	9.58125			16.068749999999998
	9.674999999999997			15.93125
	9.962499999999999			16.275
	9.931249999999999			15.64375
	10.1875			15.743749999999999
	9.562500000000002			15.056250000000002
	8.881250000000001			14.468749999999998
	9.268750000000002			14.56875
	8.793750000000001			14.543750000000001
	8.493749999999999			14.387500000000001
	8.66875			14.25625
	8.59375			13.493750000000002
	8.3			14.09375
	8.59375			13.562500000000002
Oct.	8.68125			13.149999999999999
	8.58125			13.200000000000001
	8.18125			13.543750000000001
	7.962499999999999			13.512499999999998
	8.44375			13.44375
	8.54375			12.774999999999999
	8.5625			13.131250000000001
	8.881250000000001			13.33125
	8.53125			13.156250000000002
	8.4625			12.950000000000001
	8.225			12.60625
	8.43125			13.09375
	7.60625			11.968749999999998
	7.49375			11.981250000000001
	7.2124999999999995			11.850000000000001
	8.062500000000002			11.54375
	7.843749999999998			12.006249999999998
	7.9750000000000005			12.34375
	7.9437500000000005			12.01875
	7.418749999999999			11.287500000000001
	6.5			11.012499999999998
	6.981250000000001			10.981250000000001
	6.4875			10.331249999999999
	6.331249999999999			10.35
	6.175000000000001			9.86875
	5.7625			9.525
	6.281249999999999			9.468749999999998
	5.54375			9.274999999999999
	5.875			9.581249999999999
	5.393750000000001			9.06875
	5.125			8.525
Nov.	5.168749999999999			8.756250000000001
	5.262499999999998			8.887500000000001
	4.59375			7.825
	4.5562499999999995			8.043750000000001
	4.7749999999999995			8.1875
	3.06875			6.606249999999999
	2.38125			6.2625
	2.9187500000000006			6.281249999999999
	4.15625			7.775
	4.08125			6.774999999999999
	2.9437499999999996			7.031250000000002
	3.11875			6.643750000000001
	3.35625			6.7875
	3.0375			6.2
	2.3625			5.75
	1.8125			4.9
	1.5875			5.00625
	2.00625			5.2437499999999995
	2.01875			5.49375
	1.6562500000000002			4.83125
	1.95			4.868750000000001
	2.2875			5.38125
	2.6125			5.5562499999999995
	2.425			5.737500000000002
	2.9250000000000003			5.80625
	2.51875			5.4937499999999995
	2.5			4.9125
	1.6875			5.106249999999999
	1.6500000000000001			4.768750000000001
	1.0875000000000001			4.3062499999999995
Dec.	1.5000000000000002			5.45625
	2.7375			6.1
	3.3812499999999996			6.5874999999999995
	3.0812500000000003			6.375
	3.1749999999999994			6.8687499999999995
	3.55			6.83125
	3.1187500000000004			5.7437499999999995
	2.7625			5.8625
	3.4875			6.743749999999999
	3.44375			7.1
	2.9312499999999995			6.46875
	3.0999999999999996			6.525
	2.3625			5.762499999999999
	2.56875			6.03125
	1.9937500000000001			5.1375
	2.34375			6.468749999999999
	4.239999999999999			7.426666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

31°C

Highest Temp

26 Jun. 26

-12°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust23.2°C

Coldest MonthJanuary-1.27°C

Wettest MonthJune4.2mm

Windiest MonthJanuary30.16km/h

Wilhelmshaven 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 Wilhelmshaven historically?

August is historically Wilhelmshaven's hottest month, with average maximum temperatures around 21°C. During peak heatwave events, the highest recorded temperatures have reached 34°C on 2015-07-04.

2. What is the coldest month in Wilhelmshaven historically?

January is Wilhelmshaven's coldest month, with average minimum temperatures around 1°C. The all-time record low of -14°C was recorded on 2012-02-07.

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

Wilhelmshaven's average annual rainfall is approximately 821.8mm, based on records spanning 17 years.

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

Wilhelmshaven historically records approximately 229.5 rainy days per year. July has the highest number of rain days at an average of 22.9 days.

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

The all-time highest temperature recorded in Wilhelmshaven is 34°C on 2015-07-04.

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

The all-time lowest temperature recorded in Wilhelmshaven is -14°C on 2012-02-07.

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

Wilhelmshaven experiences its strongest winds during January. The historic gust record of 62.4 kph was recorded on 2022-02-18.

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

Usually, Wilhelmshaven's humidity peaks in December at around 88.1% and drops to its lowest in August at approximately 78.02%.

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

Wilhelmshaven 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

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

Wilhelmshaven 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

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