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

Wildau Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.1875000000000004	1.1		5.8375	3.3
	0.7374999999999999	-0.5		5.2562500000000005	1.9
	0.33124999999999977	-2.4		4.39375	1.3
	-0.08125000000000009	-3.7		4.118749999999999	-0.5
	-0.7624999999999997	-4.4		2.775000000000001	-0.7
	-1.3125	-5.2		2.95625	-0.8
	-1.0125000000000004	-7.1		3.2687500000000003	-2.6
	-0.1125	-9.4		3.4	-3.3
	0.4125	-6.9		3.9124999999999996	-3.5
	-0.43125	-9.8		3.5625000000000004	-3.2
	-1.03125	-9.2		2.8	-3.3
	-0.056249999999999994	-10.3		3.34375	-0.7
	0.31875000000000003	-0.5		4.04375	1
	0.16875000000000007	1.4		3.78125	3.7
Jan.	-0.14375	0.4		3.7499999999999996	3.4
	-0.15000000000000008	1.1		3.2812499999999996	4.6
	-1.0562499999999997	-0.9		3.1625000000000005	3.1
	-2.0625	-1.4		2.2312499999999997	2.1
	-1.8812499999999999	-1.5		2	3.1
	-2.5187499999999994	-1.9		1.7437500000000001	4.3
	-2.675	-1.4		1.2375	3.3
	-2.76875	-3.6		1.3437500000000002	-0.1
	-3.40625	-4.2		0.9999999999999999	-0.1
	-2.5687499999999996	-2.9		1.9625	0.2
	-1.8312499999999998	-2.6		2.0125	0.4
	-2.70625	-0.1		1.7312499999999997	1.2
	-1.9312499999999995	-0.2		3.5562499999999995	0.6
	-0.7562500000000001	-2		3.79375	0.5
	-0.925	-1.7		3.71875	0.2
	-0.9937500000000004	-1.8		3.5625	1.3
	-1.4249999999999998	-5.4		2.9749999999999996	-1.5
	-1.2437500000000001	-8.1		3.4750000000000005	-4.1
	-1.3125000000000004	-8.8		3.2687499999999994	-4.5
	-0.5624999999999996	-8.2		3.7625	-3.4
	-0.9062500000000003	-6		3.95625	-1.2
	-1.1250000000000002	-3		3.1437500000000003	1
	-1.2625	0.7		3.08125	2.8
	-1.9562499999999996	0.1		3.0875	1.5
	-2.2875	-0.8		2.6937499999999996	1.6
	-1.8687500000000006	-1		3.6437500000000007	2.4
	-1.5249999999999997	-1.4		3.8124999999999996	4.3
	-1.525	2.2		3.3	4.2
	-2.0875	3.9		3.4375000000000004	8.5
	-1.46875	-0.2		3.9312500000000004	5.6
	-1.6312499999999999	-2		4.1812499999999995	1
Feb.	-1.34375	-3.7		5.49375	0
	-0.35625000000000007	-4.1		6.356250000000001	2.1
	-0.04999999999999971	0		6.362500000000001	1.6
	-0.12499999999999989	-4.1		6.175	0.8
	0.09375	-5.7		5.4625	0.2
	-0.024999999999999967	-6.2		5.76875	0.3
	1.18125	-0.1		6.45625	5.3
	0.5062499999999999	4.1		6.64375	9.7
	0.2125000000000001	6		6.33125	9.1
	-0.06250000000000003	5.1		6.94375	6.9
	0.19999999999999987	2.5		6.8812500000000005	9.6
	0.33125000000000004	3.2		6.356249999999999	13.4
	-0.26250000000000007	7.3		7.062500000000002	16.2
	0.5375000000000001	7.5		6.3187500000000005	16.8
	-0.21250000000000005	6		6.6875	11
	0.06874999999999994	3.5		6.94375	12.9
	0.09375000000000006	4.3		7.4750000000000005	14.1
	0.55	4.1		8.03125	10.3
	0.6375	2.3		7.593750000000001	12.3
	-0.2250000000000001	2.8		7.281250000000001	14.1
	0.23750000000000018	4.7		7.25	14.3
	0.0562499999999999	6.9		7.543750000000001	15.9
	0.43125	5.1		8.806249999999999	15.3
	0.55	7.1		8.66875	15.1
	1.2	7.7		8.3	16.2
	1.51875	7.9		8.20625	12.4
	2.2375	7		9.4	15
	1.6187500000000001	6.3		8.50625	15.5
Mar.	1.9125	4.8		8.03125	6.5
	1.5500000000000003	3.9		8.431249999999999	7.9
	1.825	1.2		9.543750000000001	10.2
	1.7562499999999996	2.4		9.518749999999999	12.8
	1.5062499999999996	5.2		9.825000000000001	13.8
	2.06875	6.5		10.2875	12.4
	2.8000000000000003	5.8		10.9	11.8
	2.41875	3.6		10.399999999999999	13.5
	2.9125	4.2		10.331249999999999	14
	1.58125	6.7		10.899999999999999	14.7
	1.98125	4.3		11.262500000000001	11.6
	2.3687500000000004	2.2		10.406250000000002	8.1
	1.83125	-0.4		10.4375	9.7
	2.9125	1.5		12.037499999999998	11.3
	4.15	1.3		12.4375	9.9
	3.3625000000000003	3.1		12.093749999999998	7.8
	3.7937500000000006	2		11.825000000000001	4.1
	3.1437500000000003	0.6		11.1125	12.1
	2.4125	2.2		11.887500000000001	12.3
	3.3124999999999996	4.6		12.4625	10.4
	3.6125000000000007	5.5		12.525	13.9
	3.83125	7.3		11.25	18.1
	3.275	4.9		12.73125	12.5
	4.325000000000001	2.5		14.124999999999998	13.3
	4.91875	1.3		13.974999999999998	13.2
	4.4750000000000005	-0.4		14.225000000000001	11
	4.574999999999999	0.5		14.500000000000002	8.7
	5.15625	0.3		13.543750000000003	13.3
	5.00625	4.1		14.1125	8.6
	6.05	6.4		14.19375	15.5
	5.512500000000001	7.3		13.243750000000002	13.3
Apr.	5.268750000000001	3.8		14.0625	16.6
	5.04375	7.6		13.943750000000001	19.4
	5.0375	8		14.7125	18.9
	4.75625	7.5		14.975	20.4
	4.65625	4.9		14.962500000000002	15.5
	5.05625	3.3		15.943750000000001	8.6
	5.80625	0.5		16.03125	13.3
	5.674999999999999	1.4		15.768749999999999	16.5
	6.29375	4.1		15.862499999999999	16.2
	6.1312500000000005	4.2		16.5	15.8
	6.581250000000002	4.6		16.512500000000003	15.9
	6.1499999999999995	2.9		15.706249999999999	13.8
	5.8875	3.3		15.450000000000003	15.8
	6.193749999999999	2.9		17.2625	14.1
	7.5062500000000005	1.8		18.775000000000002	12.9
	7.925000000000001	2.8		17.956249999999997	18.1
	7.6499999999999995	7		18.1125	22.5
	7.5	9.4		16.225	24.9
	7.08125	12.2		16.637499999999996	26.8
	7.1499999999999995	13		15.674999999999999	22.2
	6.75625	11.3		16.306250000000002	18.7
	6.5687500000000005	7.8		16.3625	13.3
	7.625	6		17.41875	8.9
	7.112500000000001	4		17.5625	15.2
	8.537499999999998	5		19.75	17.9
	9.30625	6.1		20.28125	19.9
	9.9125	7.1		20.5875	18.7
	9.762500000000001	3.7		20.268750000000004	10.5
	8.6125	4.1		17.656250000000004	12.5
	8.58125	6.4		17.24375	13.7
May	7.61875	4.4		17.15625	15.6
	8.225	4.5		17.868750000000002	14.6
	8.981250000000001	4.5		18.4375	17.9
	8.837499999999999	8.4		18.55625	18.8
	9.687499999999998	7.4		20.393749999999997	19
	10.8375	10.5		20.8875	19.1
	11.0375	9.8		21.625000000000004	20.6
	11.175	11.4		21.49375	22.2
	11.28125	13.6		21.3625	27.5
	11.1875	14.6		21.1125	27.5
	10.575000000000001	11.9		19.193749999999998	25.8
	10.30625	13.9		19.962500000000006	29
	10.775	11.7		19.868750000000002	22
	10.168750000000001	8.3		20.1375	21.3
	10.806249999999999	9.5		20.406250000000004	25.9
	10.975	15		21.825	23.8
	11.5125	11.5		22.075000000000003	23.6
	11.68125	13		21.043749999999996	23.1
	11.65	12.1		21.56875	25.5
	12.000000000000002	13.9		23.012500000000003	20.4
	12.468750000000002	11.3		23.081250000000004	23.2
	12.675	13		24.3625	20.2
	13.731249999999998	10.8		24.38125	24.3
	12.8625	14		23.275000000000002	22.4
	13.112500000000002	11.5		24.09375	25.3
	13.800000000000002	11.9		24.606250000000003	20.4
	14.268749999999999	10.6		24.175	20.7
	13.81875	11.1		24.3125	19.7
	12.931250000000002	8.7		22.999999999999996	16.9
	12.987499999999997	11.7		22.268750000000004	20.6
	12.731250000000001	10.1		22.55	17.4
Jun.	13.062499999999998	11.3		23.431250000000002	19.4
	12.61875	7.7		22.025000000000002	22.1
	13.200000000000003	11.7		24.156249999999996	24.9
	14.51875	17		25.55625	28.6
	14.7125	18		25.5125	34.1
	14.425	20.2		23.325000000000003	32.3
	13.15	18.5		22.95	32.1
	14.03125	14.8		23.975	27.6
	13.78125	14		22.756249999999998	28.6
	13.66875	15.7		22.91875	31.8
	14.450000000000001	19.7		23.693750000000005	34
	15.049999999999999	16.7		25.068749999999998	34.1
	14.05625	20.2		24.2875	39.5
	14.549999999999999	23.6		25.712500000000002	38.8
	15.649999999999999	19.6		25.912499999999998	30
	14.537500000000001	18.1		24.4375	24.8
	14.38125	16		24.262499999999996	24.5
	14.418749999999998	14.4		24.118750000000002	28.2
	14.143749999999999	13.5		24.775000000000002	22.1
	14.89375	11.6		24.91875	22.3
	15.662499999999998	15		25.31875	24.1
	15.025000000000002	13		24.812499999999996	18.1
	14.525	16.3		24.675	23.7
	14.20625	11.1		23.9875	23.6
	14.54375	11.3		24.593749999999996	24.1
	14.975	14		24.212499999999995	27.6
	15.193749999999998	13.2		25.66875	25.4
	15.64375	16		24.26875	30.3
	15.231250000000003	15.8		24.68125	29.9
	14.756250000000003	15.8		23.53125	25.3
Jul.	14.899999999999999	13.9		23.568750000000005	27
	14.906250000000004	15.7		24.4125	29.4
	15.031249999999996	18.2		25.2125	29.9
	15.25	16.4		25.2125	26.3
	15.443749999999998	13.1		26.14375	22.8
	16.343749999999996	11.9		26.85	18.2
	16.412499999999998	10.4		25.456249999999997	22.1
	16.356250000000003	11.9		25.268749999999997	19.5
	16.0375	12.5		24.75	20
	15.31875	11.6		25.9125	24.2
	16.58125	13.8		25.71875	28.7
	15.812499999999998	17.4		25.775	28.6
	16.925000000000004	15.9		26.031249999999996	22.6
	16.856250000000003	12.1		25.74375	23.4
	16.731250000000003	16.4		25.143749999999997	30.5
	16.175	19.1		24.431250000000002	37.2
	15.799999999999999	19.2		24.34375	31.6
	16.087500000000002	14.9		25.96875	21.1
	16.006249999999998	13.4		26.29375	24.8
	17.018749999999997	14.4		26.543749999999996	31
	16.856250000000003	20.4		25.650000000000002	34
	16.15	21.9		24.431250000000002	31.2
	15.36875	20.5		25.468749999999996	27.9
	15.775	14		25.875	22.6
	16.6	12.3		26.543749999999996	24.6
	16.624999999999996		14.1	26.150000000000006		31.9
	15.85625		18	25.24375		31.3
	15.712499999999997		12.9	25.10625		22.4
	15.450000000000001		11.8	25.13125		25.2
	15.5375		13.1	25.6375		28
	16.187499999999996		15.3	26.443750000000005		30.1
Aug.	16.512500000000003		16.5	26.143749999999997		34.3
	16.174999999999997		19.3	25.574999999999996		30.8
	15.837499999999999		15.9	25.9125		25.9
	16.306250000000002		16.3	25.618750000000002		25
	15.987499999999999		15.8	24.23125		25.4
	14.981250000000001		15.5	24.35		25.3
	15.00625		15.2	25.399999999999995		24.7
	15.45		15	24.84375		24.1
	15.156249999999998		14.9	24.318749999999998		24.5
	14.856250000000001		14.7	24.637499999999996		24.6
	15.299999999999997		15.2	24.462500000000002		25
	15.09375		15.3	24.068749999999998		24.2
	15.08125		15	23.831249999999997		24
	14.312499999999998		14.9	23.28125		24.4
	14.337499999999999		14.6	23.8125		23.3
	15.04375		14.6	23.76875		23.1
	14.78125		14.3	23.699999999999996		23.3
	13.325		13	22.087500000000002		22.8
	12.837499999999999		13.2	21.293749999999996		21.5
	13.281249999999998		14	22.53125		23.1
	14.175		14.1	23.693749999999998		23.6
	14.09375		13.9	23.575000000000003		22.7
	13.512500000000001		13	22.79375		22.4
	13.375000000000002		13	22.35625		22.6
	12.65		13.3	22.206249999999997		22.8
	13.631250000000001			22.38125
	13.806250000000002			22.868750000000002
	13.912500000000001			22.706249999999997
	13.656249999999998			22.8375
	13.031249999999998			20.843749999999996
	12.6			20.237499999999997
Sep.	12.887500000000001			21.225
	12.331249999999999			20.29375
	11.65			21.0875
	12.075			19.84375
	11.375000000000002			20.200000000000003
	11.21875			19.99375
	10.85			20.287500000000005
	10.356250000000001			18.950000000000003
	10.125			18.625
	10.475			19.037500000000005
	11.09375			18.00625
	10.76875			18.95625
	11.325000000000001			18.8125
	10.375			17.937500000000004
	9.83125			17.74375
	9.44375			17.9125
	9.075			17.14375
	9.0375			17.15
	9.562499999999998			17.368749999999995
	9.481250000000001			17.0125
	9.7			16.331249999999997
	9.25625			16.2625
	8.675			15.712499999999999
	8.43125			14.6625
	7.89375			15.325000000000001
	8.362499999999999			15.34375
	8.5625			15.35
	8.25			14.662499999999998
	7.237499999999999			14.8375
	7.7625			14.356250000000003
Oct.	8.33125			13.918750000000001
	7.75625			13.531250000000002
	7.6			14.881250000000001
	7.068750000000001			14.718750000000004
	7.124999999999999			13.818750000000001
	7.806249999999999			14.187500000000002
	7.825000000000001			14.56875
	8.25625			14.218749999999998
	7.86875			14.28125
	7.906250000000001			13.8375
	7.731249999999999			13.393749999999997
	7.85625			13.868750000000002
	6.88125			13.14375
	7.1937500000000005			12.68125
	6.48125			12.731250000000001
	6.7			12.68125
	6.6125			12.418750000000001
	6.65			12.831249999999999
	7.04375			12.51875
	6.475			12.193750000000001
	6.08125			11.275
	6.699999999999999			11.587500000000004
	6.4125000000000005			11.2625
	6.250000000000001			11.14375
	5.474999999999999			10.568750000000001
	5.71875			10.09375
	4.6625			9.80625
	4.08125			8.700000000000001
	4.6375			9.975000000000001
	4.6875			9.399999999999999
	4.425000000000001			8.4875
Nov.	4.106249999999999			8.987499999999999
	3.45625			7.88125
	3.1125000000000003			7.325
	3.31875			7.406249999999999
	3.5312500000000004			7.675000000000001
	3.0125000000000006			6.9312499999999995
	1.5937500000000002			5.9125
	1.4062500000000004			5.5
	1.7750000000000001			6.700000000000001
	1.70625			6.356249999999999
	1.3750000000000002			5.6312500000000005
	1.7687499999999998			5.675000000000001
	1.3312499999999998			5.26875
	1.3375000000000001			5.699999999999999
	0.25625			4.668749999999999
	-0.37499999999999983			3.775
	-0.9187500000000004			3.4687500000000004
	-0.9250000000000004			3.8749999999999996
	-0.7875000000000001			3.3437499999999996
	-0.2875000000000001			3.5562499999999995
	0.06874999999999994			3.8125
	0.6000000000000001			4.19375
	0.96875			4.7562500000000005
	1.28125			5.012500000000001
	1.5125			4.93125
	0.5			4.2625
	0.925			4.4875
	0.4937500000000001			4.51875
	-0.66875			3.55625
	-0.27499999999999986			3.26875
Dec.	-0.5000000000000002			3.91875
	0.30625			4.231250000000001
	1.5937499999999998			5.0874999999999995
	1.0499999999999998			5.075
	1.2375			5.25
	1.475			5.393749999999999
	1.10625			4.95625
	1.31875			5.187499999999999
	2.1687499999999997			5.837499999999999
	1.7812499999999996			6.025
	1.8500000000000003			5.78125
	2.03125			5.874999999999998
	1.4312500000000001			4.818750000000001
	0.7437499999999999			4.83125
	0.5875			3.66875
	0.006250000000000033			4.625
	1.8399999999999999			5.993333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

40°C

Highest Temp

27 Jun. 26

-10°C

Lowest Temp

12 Jan. 26

Seasonal Breakdown

Hottest MonthAugust27.15°C

Coldest MonthJanuary-3.13°C

Wettest MonthJuly1.96mm

Windiest MonthJuly21.7km/h

Wildau 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 Wildau historically?

August is historically Wildau's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2026-06-27.

2. What is the coldest month in Wildau historically?

January is Wildau's coldest month, with average minimum temperatures around -1°C. The all-time record low of -18°C was recorded on 2010-01-26.

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

Wildau's average annual rainfall is approximately 611.9mm, based on records spanning 17 years.

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

Wildau historically records approximately 200.3 rainy days per year. July has the highest number of rain days at an average of 18.7 days.

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

The all-time highest temperature recorded in Wildau is 40°C on 2026-06-27.

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

The all-time lowest temperature recorded in Wildau is -18°C on 2010-01-26.

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

Wildau experiences its strongest winds during January. The historic gust record of 52.3 kph was recorded on 2017-10-05.

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

Usually, Wildau's humidity peaks in January at around 86.1% and drops to its lowest in August at approximately 62.8%.

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

Wildau 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

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

Wildau 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

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