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

Wiesbaden Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.2312499999999997	0.8		5.956250000000001	1.8
	1.4249999999999998	-1.3		5.2124999999999995	1.8
	1.51875	-2.4		5.56875	-0.1
	1.4687500000000002	-2.7		5.125000000000001	-0.1
	1.0374999999999999	-4.8		4.6812499999999995	-1.6
	0.98125	-4.9		4.8999999999999995	-1.2
	0.8937499999999998	-6		4.7625	-3.4
	1.6437500000000003	-3.8		5.01875	0.7
	0.9687499999999999	0.2		5.2749999999999995	5.5
	0.3375000000000001	-4.6		4.425000000000001	1.9
	-0.11250000000000003	-4.8		3.8062500000000004	-1.5
	0.575	-2		4.39375	1.6
	0.8125000000000001	0.7		4.6375	2.4
	0.20624999999999993	1.9		4.34375	4.9
Jan.	0.024999999999999953	4		4.54375	7.3
	-0.07500000000000007	2.7		3.7	6.3
	-1	2		3.3375	4.5
	-1.1624999999999999	1.6		3.4000000000000004	4.4
	-1.74375	-0.2		2.68125	4.6
	-2.0312499999999996	-0.1		2.5749999999999997	4
	-1.9187499999999997	-0.8		2.7500000000000004	2.8
	-1.3437500000000004	-0.7		2.9124999999999996	3.1
	-0.4125000000000001	1.4		3.3312500000000003	4.9
	-0.5125	0		3.3937500000000007	4.1
	-0.4562499999999999	-0.6		3.375	2.7
	-0.8187499999999998	-0.2		3.8187500000000005	1.1
	-0.2	-0.5		4.3375	3.3
	0.16874999999999996	1.5		4.937500000000001	2.4
	0.3187499999999999	1.3		4.950000000000001	2
	0.024999999999999994	0.4		5.275	3.1
	0.037499999999999825	1.7		4.525	4
	-0.012500000000000032	2.6		4.59375	5.1
	0.39375000000000004	0.5		5.44375	3.9
	0.8625	-0.2		5.375	0.9
	0.6312499999999999	0.3		4.893749999999999	4.7
	0.2750000000000002	2.4		4.7375	5.3
	0.25625000000000003	1.1		4.975	4.5
	-0.8499999999999996	3.4		4.80625	8.8
	-1.1125000000000005	2.4		4.4125	7.1
	-1.16875	0.8		4.4375	5.9
	-1.11875	0.9		4.175	5.3
	-0.8437499999999998	4.9		4.25	10.6
	-1.2250000000000003	6.4		4.28125	9
	-1.6312499999999999	5.4		4.9437500000000005	7.8
	-0.6875	0.2		5.29375	5.5
Feb.	0.36249999999999993	-1.2		6.049999999999999	2.9
	1.1687500000000002	0.6		8.012500000000001	4.9
	1.10625	1		7.631249999999999	6.5
	1.775	0		7.262500000000001	4
	1.28125	2		6.956250000000001	2.8
	0.86875	-0.3		7.58125	4.2
	1.8249999999999997	4.6		7.8687499999999995	9.6
	2.1875	9		7.893749999999999	11.4
	2.0500000000000003	8.9		7.55625	11.6
	1.7	7.8		8.1375	9
	1.35625	7		8.025000000000002	14
	1.5500000000000003	6.5		7.11875	16.4
	1.05	7.6		7.031249999999998	17.1
	0.71875	8.1		7.6375	13.8
	1.06875	5		8.081249999999999	12.8
	1.4062500000000002	5.3		8.125	13.4
	1.5	5.7		8.9125	14.5
	1.5375	6.4		9.200000000000001	14.5
	1.23125	6.3		8.34375	15.7
	0.7375	6.5		8.493749999999999	15.5
	1.1	7.1		8.874999999999998	16.5
	1.2125	7.1		9.45	15.8
	2.5875000000000004	7.1		10.40625	16
	2.1687499999999997	9.3		10.53125	16.7
	2.4875	8.8		10.131250000000001	12.1
	2.7875	6.3		9.887500000000001	12.7
	2.5999999999999996	6.1		9.76875	12.7
	2.45	3.5		9.731250000000003	9.4
Mar.	2.7124999999999995	3.6		9.85625	7.9
	2.9000000000000004	3.8		10.98125	10.9
	2.83125	4.3		10.61875	6.6
	3.025	3		10.99375	13.5
	3.4250000000000003	5.7		11.50625	14.9
	3.2937500000000006	5.9		12.0375	14.2
	3.7750000000000004	7.3		12.33125	12.7
	3.4875	5.5		11.568749999999998	14.7
	3.6937500000000005	5.6		12.4625	15.6
	3.6749999999999994	6.7		12.756250000000001	16.1
	3.59375	5.1		12.6625	11.6
	3.6812500000000004	2.3		11.456249999999999	6.8
	3.0624999999999996	0.7		12.6125	8.8
	3.9437500000000005	2.1		13.731250000000001	3.7
	5.20625	1.1		14.04375	8.1
	4.812500000000001	3.6		13.631249999999998	8.5
	5.3187500000000005	3.2		13.14375	9
	4.8999999999999995	1.2		12.5875	10.8
	3.6999999999999993	2		12.462499999999999	13.8
	4.48125	5.4		13.124999999999998	13.4
	4.58125	9.3		12.90625	14.8
	4.3187500000000005	7.8		12.599999999999998	15.7
	4.168749999999999	4.2		13.325000000000001	14.8
	5	5.2		15.3125	16.9
	5.175	5.3		14.656250000000002	18.4
	5.281249999999999	6.9		15.875	18.6
	5.9750000000000005	7		15.212499999999999	12.4
	6.19375	6.4		15.49375	19.1
	5.8	6.2		14.906249999999998	13.6
	6.543749999999999	7.4		14.343749999999998	8.9
	5.41875	6.3		15.575	15.8
Apr.	5.75	6.8		15.58125	17.2
	5.9125000000000005	10		15.431249999999999	17.9
	5.90625	8.7		14.912499999999998	20.5
	5.6812499999999995	13		14.9375	20.4
	5.831249999999999	8.3		16.168750000000003	15.6
	6.300000000000002	5.6		16.412499999999998	12.8
	6.156249999999999	4.5		17.08125	13.6
	6.84375	4.4		17.049999999999997	16.1
	7.16875	5.3		17.3125	19.6
	6.7625	4.9		17.374999999999996	19.2
	7.050000000000001	5.8		16.3625	19.4
	6.7562500000000005	5.9		15.299999999999997	17.5
	5.9937499999999995	6.8		14.774999999999999	18.4
	6.475	8.8		16.75	20.1
	7.925	7.1		18.006249999999998	17.9
	8.231250000000001	5.6		16.993750000000006	17.4
	8.3125	7.2		17.137500000000003	21.8
	8.09375	9.7		17.637500000000003	24.3
	7.793750000000001	13.5		16.425	21.5
	7.5	10.3		15.925000000000002	20.9
	7.175	12.3		16.875	17.5
	7.78125	9.4		17.19375	14.6
	8.85625	8.1		17.69375	13.3
	8.912500000000001	6.1		18.15	17.5
	9.81875	7.6		19.856250000000003	21.5
	9.762500000000003	10.1		19.650000000000002	22.2
	10.375	5.6		19.94375	11.9
	9.89375	2		19.556250000000002	11.7
	8.799999999999999	4.6		18.150000000000002	11.5
	8.862499999999999	4.7		18.218750000000004	12.1
May	8.506250000000001	4.6		17.75	13.4
	8.65	4		17.681250000000002	14.6
	8.6625	4		17.64375	15.4
	8.674999999999999	7		19.15625	15.2
	9.712499999999999	6.6		19.65	15.1
	10.399999999999999	9		19.61875	18.6
	10.975	8.7		20.706250000000004	21
	11.368749999999997	11.4		21.1625	25.9
	11.306249999999997	13.9		20.199999999999996	28.6
	10.400000000000002	16.5		19.34375	29.8
	10.356250000000001	14.6		19.54375	29.4
	10.581250000000002	16.1		19.818749999999998	31.1
	10.66875	17.2		20.112499999999997	29.2
	10.987499999999997	12.9		20.90625	26.4
	11.15	13.2		20.53125	30
	11.268749999999999	16.1		21.337500000000002	28.2
	11.50625	15.8		21.4125	23.1
	11.931250000000002	13.2		20.956249999999997	23
	12.1625	13.3		21.962500000000002	23
	13.062500000000002	10.4		23.175	20.3
	12.95625	12.8		23.218749999999996	17.4
	13.043750000000001	9.4		23.3375	18.8
	13.106250000000001	10		22.51875	22.1
	12.85	10.3		22.58125	21.5
	13.14375	11.5		22.668749999999996	22.9
	13.04375	11.8		23.34375	20.2
	13.418750000000001	9		23.500000000000004	16.7
	13.75625	6.4		23.318749999999998	17.9
	13.20625	10.9		22.75625	16.2
	12.76875	13		22.71875	23.7
	12.925	10		23.19375	17.8
Jun.	13.381250000000001	7.5		23.093750000000004	20.8
	13.674999999999999	11.7		22.593749999999996	21.3
	13.46875	14.3		23.612500000000004	27.1
	14.924999999999999	16.7		25.337500000000002	31.7
	15.30625	19.6		25.03125	34.5
	14.4	18.8		23.349999999999998	33.7
	13.681249999999999	20.2		23.493750000000002	34.6
	14.112499999999999	18.5		23.8375	33.5
	13.887499999999998	19.8		22.618750000000002	34
	13.625	20		23.956250000000004	35.3
	14.543750000000003	22.6		24.65625	36.8
	14.98125	22.7		25.268750000000004	38.1
	14.806250000000002	23.1		25.212500000000002	39.3
	15.2125	21.4		25.443750000000005	36.5
	16.062499999999996	19.5		25.8375	28.6
	15.337499999999997	18.4		25.756250000000005	27.3
	14.64375	17.5		23.837500000000002	27.2
	14.768749999999997	14.8		25.431249999999995	28.5
	14.98125	11.5		24.89375	25.2
	14.743749999999999	11.7		25.493750000000006	28.5
	15.34375	17.9		25.674999999999997	25.2
	15.356250000000001	15.5		25.481249999999996	29.9
	14.925000000000002	18		24.568749999999998	31.2
	13.900000000000004	17.9		24.05625	24.1
	15.15625	15		24.1	29.7
	14.706249999999999	16.3		25.487499999999997	30.9
	15.537499999999998	17.5		25.256249999999998	31.4
	15.525000000000002	17.5		25.218750000000004	31.9
	14.781250000000002	18.9		23.637500000000003	32.5
	15.018749999999997	20.2		23.94375	32.7
Jul.	14.768749999999999	17.2		24.062500000000004	28.2
	14.49375	16.9		25.14375	31
	15.181249999999999	17.4		25.375	29.7
	15.43125	14.8		26.531249999999996	26.4
	16.3875	13.6		28.162499999999994	23.9
	16.856250000000003	10.1		27.412499999999998	22.5
	16.8375	11.3		26.112499999999994	25.4
	16.7125	12.8		25.91875	22.2
	16.1125	11.2		26.237500000000004	24.3
	16.131249999999998	12.1		26.112499999999997	27.6
	15.85625	16		25.8625	31.7
	16.175	17.3		26.418749999999996	27.9
	17.018750000000004	15.2		25.5625	25.7
	16.19375	14.4		24.943749999999994	29.7
	16.03125	18.5		24.1	35.8
	15.418749999999998	21		24.587500000000002	39.1
	15.493749999999999	19.6		25.36875	32.5
	16.531249999999996	18		26.5	26.1
	16.568749999999998	17.2		26.9125	29.8
	16.95	17.7		25.30624999999999	35
	16.587500000000002	19.6		25.76875	35.6
	16.01875	20		25.218750000000004	31.3
	15.337499999999999	17.7		25.150000000000002	27.3
	15.643749999999999	13.5		25.887500000000003	25.8
	16.2125	14.1		25.112500000000004	29.8
	15.950000000000001	18.6		26.10625	35.1
	15.725	19		25.075	33.3
	15.631250000000001	16.4		25.05625	28.2
	15.706249999999997	15.5		25.70625	30.5
	16.4875	17.5		26.487499999999997	33.1
	16.34375		19.6	26.875		35.3
Aug.	17.025		21	25.575		36.4
	16.099999999999998		19.1	25.08125		29.5
	16.212500000000002		16.7	24.63125		22.3
	16.037499999999998		13.5	24.55		26.3
	15.618750000000002		18.5	24.624999999999996		28
	15.324999999999998		18.9	25.437499999999996		31
	15.71875		17.1	26.53125		19.2
	15.7875		15.4	26.09375		25.4
	15.89375		15.5	25.11875		25.5
	15.18125		15.5	24.787499999999998		25.2
	15.25		15.2	24.843750000000007		24.4
	15.499999999999998		15.4	24.75625		24.7
	15.312499999999996		15.4	23.4375		24.3
	14.793750000000003		15.1	23.787499999999994		23.7
	14.94375		14.9	24.562499999999996		23.9
	15.2875		14.7	24.05		23.6
	14.662500000000001		14.2	23.043750000000003		22.9
	13.418750000000001		13.8	21.64375		22.3
	13.450000000000001		13.3	22.5		22.7
	13.725		13.9	23.525		23.4
	14.106250000000001		13.9	24.231250000000003		23.5
	14.737499999999999		14.4	23.987499999999997		23.4
	14.3625		13.5	23.86875		23.1
	13.8		13.5	21.712500000000002		22.7
	13.274999999999999		13.7	21.931250000000006		22.4
	13.587499999999999		13.8	22.362499999999994		22.3
	13.437500000000002		13.6	22.206250000000004		22.1
	13.662500000000001		13.1	22.55		22.2
	13.0875		12.7	22.625		22
	13.200000000000001		12.9	20.7		20.6
	12.6125			21
Sep.	12.79375			21.35625
	12.2			20.587500000000002
	12.243749999999999			20.2125
	11.756249999999998			20.418750000000003
	11.78125			20.175
	11.6125			20.212500000000002
	10.36875			19.999999999999996
	10.168750000000001			19.48125
	10.356250000000001			19.5625
	10.44375			18.78125
	10.58125			18.38125
	10.49375			18.062500000000004
	10.743749999999997			18.08125
	10.481250000000001			18.0625
	10.668750000000001			18.45
	9.581249999999999			17.35
	9.425			17.96875
	9.60625			17.58125
	9.40625			18.10625
	9.349999999999998			16.693749999999998
	9.381250000000001			16.1625
	9.3625			15.725
	9.425			16.05625
	9.7			16.23125
	8.83125			16.09375
	8.9875			16.475
	8.11875			15.9625
	7.5375			15.3375
	8.475			15.931249999999999
	7.5625			15.53125
Oct.	7.574999999999998			14.518749999999999
	7.956249999999999			14.287500000000001
	8.3			14.9375
	7.9312499999999995			15.406250000000002
	8.06875			15.10625
	8.718749999999998			14.73125
	7.85			14.637500000000001
	7.706250000000002			13.993749999999999
	7.543749999999999			14.15625
	7.54375			13.831249999999997
	8.125			13.850000000000001
	8.043750000000001			14.612500000000002
	7.1125			12.718749999999998
	5.956249999999999			12.03125
	6.75625			12.925
	7.012499999999999			12.4125
	6.76875			13.025
	6.6125			13.175
	7.1625			12.80625
	7.206250000000001			12.1625
	6.799999999999999			12.1625
	6.212500000000001			11.15
	5.637500000000001			11.2625
	5.9437500000000005			10.881250000000001
	5.925000000000001			10.7875
	5.593749999999999			10.3125
	5.018749999999999			9.90625
	4.675			9.21875
	4.675000000000001			9.774999999999999
	4.7250000000000005			10.19375
	4.668749999999999			9.312500000000002
Nov.	4.70625			9.131250000000001
	3.4187499999999997			8.31875
	3.9000000000000004			8.200000000000001
	4.1499999999999995			8.0375
	4.362500000000001			8.625
	3.21875			7.793749999999998
	2.2125			6.625
	1.89375			6.1875
	2.0375			7.4
	2.6687499999999997			7.4
	2.2			6.925
	2.2562499999999996			6.59375
	1.8375			5.73125
	1.75625			5.9437500000000005
	1.4			5.70625
	1.0000000000000002			5.049999999999999
	0.79375			4.75625
	-0.037500000000000006			4.481249999999999
	0.28125			4.20625
	0.03125000000000011			4.49375
	0.5812499999999999			4.518750000000001
	0.8374999999999999			4.831250000000001
	1.95			5.8625
	1.5125000000000002			5.4375
	1.01875			5.2
	0.65625			4.81875
	1.4562499999999998			4.85
	0.975			4.9875
	0.475			4.6937500000000005
	0.6			4.4125
Dec.	0.73125			5.031250000000001
	1.1937499999999999			5.699999999999999
	1.75			5.8625
	1.6312499999999999			5.374999999999999
	1.6937499999999999			6.10625
	1.5812499999999998			6.074999999999999
	2.28125			5.981249999999999
	3.1999999999999997			6.78125
	3.9187499999999997			7.6937500000000005
	3.55625			7.7125
	2.61875			6.481250000000001
	1.8750000000000002			5.681250000000001
	1.3375			5.518749999999999
	0.6062500000000001			4.89375
	0.575			4.8125
	1.30625			5.6125
	2.5933333333333333			6.340000000000001

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

27 Jun. 26

-6°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.84°C

Coldest MonthJanuary-0.65°C

Wettest MonthFebruary2.44mm

Windiest MonthJuly17.24km/h

Wiesbaden 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 Wiesbaden historically?

August is historically Wiesbaden's hottest month, with average maximum temperatures around 26°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2026-06-27.

2. What is the coldest month in Wiesbaden historically?

January is Wiesbaden's coldest month, with average minimum temperatures around 0°C. The all-time record low of -15°C was recorded on 2013-03-14.

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

Wiesbaden's average annual rainfall is approximately 676.3mm, based on records spanning 17 years.

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

Wiesbaden historically records approximately 198.8 rainy days per year. May has the highest number of rain days at an average of 18.1 days.

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

The all-time highest temperature recorded in Wiesbaden is 39°C on 2026-06-27.

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

The all-time lowest temperature recorded in Wiesbaden is -15°C on 2013-03-14.

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

Wiesbaden experiences its strongest winds during February. The historic gust record of 49.9 kph was recorded on 2017-01-13.

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

Usually, Wiesbaden's humidity peaks in December at around 84.6% and drops to its lowest in August at approximately 63.9%.

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

Wiesbaden 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

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

Wiesbaden 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

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