Lutherstadt Wittenberg Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Lutherstadt Wittenberg Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.01875	1.1		6.025	2.9
	0.51875	-0.4		5.46875	1.5
	0.6312500000000001	-3.2		4.625	0.9
	0.1250000000000001	-3.4		4.29375	0.6
	-0.7625000000000002	-4.3		3.3750000000000004	-0.4
	-0.9312500000000002	-5.7		3.0999999999999996	-1.1
	-0.6187499999999999	-6.1		3.3624999999999994	-2.2
	0.04375000000000001	-8.7		3.7	-2.6
	0.39375000000000004	-5.6		4.3500000000000005	-0.9
	-0.38125000000000003	-11.9		3.7812500000000004	-2.9
	-1.25625	-14.5		2.76875	-5.7
	-0.07499999999999998	-15		3.2875000000000005	1
	0.1375	1.4		4.018750000000001	3
	0.025000000000000078	1		3.81875	4.1
Jan.	-0.21250000000000008	0.7		3.7062500000000003	4.7
	-0.5125000000000002	0.9		3.2937500000000006	5.5
	-1.3375	0.4		2.80625	5.3
	-1.9937500000000001	-0.1		2.36875	4.2
	-2.2437500000000004	-1.1		2.0749999999999997	3.5
	-2.86875	-2.3		1.7374999999999998	3.2
	-3.137499999999999	-2.3		1.2375000000000003	4.4
	-3.0249999999999995	-5.1		1.4500000000000002	0
	-2.756250000000001	-5.1		1.1125	0.7
	-2.04375	-4.7		1.95	0.5
	-2.29375	-3.9		2.01875	0.7
	-2.5812500000000003	0.2		1.9187500000000002	2.2
	-1.7125000000000004	-1.7		3.78125	1
	-1.0437499999999997	-4.5		3.9625	0.2
	-0.8687499999999996	-2.8		3.7875	-0.2
	-1.1625	-2.3		3.7062500000000003	1.2
	-1.6749999999999998	-5.3		3.18125	-0.5
	-1.3750000000000004	-7		3.64375	-3.3
	-1.3625000000000003	-8.7		3.5749999999999997	-3
	-0.41874999999999996	-7.8		4.03125	-2.2
	-1.1250000000000002	-5.3		4.33125	0.4
	-1.19375	-1.9		3.3812500000000005	1.1
	-1.5499999999999998	1.2		3.13125	5.1
	-2.4062499999999996	1.3		3.0937499999999996	4.8
	-2.5000000000000004	0.3		2.53125	1.8
	-2.3	-0.3		3.8937500000000003	2.9
	-1.8374999999999997	-1.2		3.8562499999999997	5.5
	-1.5750000000000002	3.4		3.1437500000000003	7.2
	-2.5562500000000004	4.4		3.2062500000000003	7.3
	-2.0375	0.1		3.55	6.4
	-1.9249999999999996	-3.4		4.6875	0.3
Feb.	-1.65	-5		5.7875	0.3
	-0.2624999999999999	-3		6.75625	3.3
	-0.06874999999999998	0.8		6.63125	3.1
	0.26250000000000007	-4.4		6.49375	0.9
	0.2250000000000002	-4.9		5.45625	0.7
	-0.17499999999999996	-7		6.0875	1.7
	1.4874999999999998	2		7.000000000000001	6.6
	0.6249999999999998	5.2		7.2250000000000005	10.3
	0.71875	6.1		6.737500000000001	8.9
	0.09375000000000015	5.2		7.243750000000001	6.8
	0.45624999999999993	2.2		7.1375	10.2
	0.32499999999999996	4.9		6.5875	14.3
	-0.38125000000000003	8.1		6.9125	16.6
	0.025000000000000057	7.9		6.73125	15.8
	-0.25625	4.2		6.887499999999999	10.9
	-0.19375000000000003	3.3		7.1375	12.5
	0.5249999999999998	4		7.80625	13.7
	0.3437500000000001	3.5		8.15625	10.2
	0.11250000000000004	3.6		7.749999999999999	13
	-0.21874999999999994	3.1		7.5249999999999995	14.2
	0.18749999999999994	4.3		7.312499999999999	14.4
	-0.11875000000000004	6.5		7.6499999999999995	14.9
	0.55	5.4		8.718750000000002	13.9
	0.5812499999999999	6.4		9.09375	14.8
	0.8875000000000002	7.8		8.6875	15.4
	1.68125	6.5		7.875	12.2
	1.9812499999999997	6.2		9.44375	14.5
	1.5375	4.1		8.450000000000001	14.1
Mar.	1.80625	2.8		7.8062499999999995	6.6
	1.3375	2.6		8.575000000000001	8
	1.8000000000000003	0.3		9.568750000000001	9.4
	1.95	0.9		9.787500000000001	12.3
	1.43125	3.9		9.55	13
	1.71875	4.5		10.3375	11.6
	2.2375	3.4		10.662500000000001	11.6
	2.525	1.6		10.274999999999999	12.7
	2.9374999999999996	2.6		10.39375	13.3
	1.75625	5.2		10.768749999999999	14.4
	2.03125	3.2		11.124999999999998	11.5
	2.1	0		10.16875	6.9
	1.7125	-2.2		10.468749999999998	8.7
	2.5562500000000004	-0.5		11.962499999999999	10.2
	3.8937500000000003	-0.4		12.41875	9.3
	3.09375	2.9		12.55	7.3
	3.8	0.9		11.56875	4.2
	3.1187500000000004	-0.1		10.974999999999998	10.9
	2.2624999999999997	1.2		11.568749999999998	11.9
	3.1874999999999996	2.7		12.15	10.5
	3.6375	7.2		12.35	13.5
	3.3562500000000006	7.8		10.94375	17.2
	3.325	4.1		12.5375	11.6
	3.86875	1.2		14.093749999999998	12.4
	4.69375	0.8		13.337499999999999	12.8
	4.300000000000001	1		14.06875	10.6
	4.249999999999999	1.4		14.043750000000001	6.3
	4.737500000000001	0.1		13.981250000000001	12.4
	4.53125	3.7		13.50625	7.2
	5.481249999999999	5.1		13.79375	14.3
	4.83125	6.3		12.762499999999998	11.4
Apr.	4.806249999999999	3.5		13.350000000000003	15.2
	4.875	7.7		13.81875	18.7
	4.6875	8.6		13.98125	17.9
	4.65	7.8		14.075000000000001	19.6
	4.44375	6.1		14.568750000000001	13.7
	4.8687499999999995	3.5		15.500000000000002	7.2
	5.562500000000001	0.6		15.600000000000001	12.3
	5.4875	0.5		15.275	14.5
	5.6812499999999995	2.5		15.581249999999999	15.5
	5.525000000000001	2.7		15.856250000000001	13.9
	6.125	3.8		15.73125	14.9
	5.425000000000001	1.6		14.83125	13.2
	5.1812499999999995	3.2		14.75	15.2
	5.5875	2.9		16.612499999999997	13.9
	7.325	1.2		18.068750000000005	12.4
	7.5625	1.9		17.53125	16.4
	7.3500000000000005	6.4		17.50625	20.4
	7.0625	8.4		15.749999999999998	23.5
	6.775	11.1		16.025	24.7
	6.93125	12		14.9125	21.1
	6.4125000000000005	11.8		15.85	18.7
	6.249999999999999	7.3		16.03125	14.3
	7.175	6.1		16.662499999999998	7.8
	7.075	4.4		17.19375	11.2
	8.35625	5.9		19.18125	15
	9.0125	6		19.59375	19.3
	9.368750000000002	5.7		19.868749999999995	16.3
	9.193750000000001	2.1		19.349999999999998	8.7
	8.0625	3.4		16.65625	11.7
	7.950000000000001	5.5		16.78125	12.6
May	7.20625	3.5		16.65625	13.4
	7.318750000000001	3.4		17.349999999999998	12.6
	8.30625	3.8		17.387500000000003	15.6
	8.481250000000001	6.2		17.287499999999998	18.4
	9.400000000000002	8.9		19.587500000000002	18.5
	10.4875	10.2		20.125	18
	10.8	9.3		20.918750000000003	19.9
	10.825000000000001	11		20.65	23
	10.556249999999999	13.4		20.243750000000002	26.5
	10.693750000000001	13.6		19.9625	26
	10.24375	11		18.65625	25
	9.7875	13.9		19.21875	27.3
	10.4125	10.6		18.79375	20.5
	10.38125	7.6		19.299999999999997	19.8
	10.368749999999997	8.7		19.849999999999998	24.5
	10.74375	14.5		20.7	23.1
	11.04375	11.3		20.9375	22.2
	11.16875	12.6		20.46875	21.2
	10.925	12		20.743750000000002	23.7
	11.64375	13.3		22.3875	20.1
	11.981250000000001	11.6		22.081250000000004	21.5
	12.53125	12.4		23.60625	19
	13.15	10.3		23.15	22.7
	12.549999999999999	13		22.575000000000003	19.9
	12.8125	10.8		23.268749999999994	24
	13.412499999999998	10.9		23.818750000000005	19
	13.71875	10		23.24375	19.4
	13.5125	9.3		23.19375	17.8
	12.65	8.2		22.312500000000004	15.1
	12.61875	11.8		21.631249999999998	19.9
	12.13125	8.9		22.2375	16.9
Jun.	12.63125	10.4		22.75625	17.7
	12.481249999999998	6.8		21.612499999999994	20.4
	12.706249999999997	13.3		23.4875	23.6
	14.05625	15.3		24.881249999999998	28.4
	14.55625	18.8		25.16875	33.2
	14.0375	20.7		22.84375	29.1
	12.875	19.6		22.49375	30.6
	13.574999999999998	16.5		23.65	26.7
	13.406249999999998	14.7		22.08125	28.2
	13.318749999999998	16.6		22.781250000000004	31.7
	13.562499999999996	20.1		23.193749999999998	33.5
	14.59375	17.8		24.687499999999996	33.5
	13.6375	21.9		23.937500000000004	38.9
	13.987500000000004	24		25.28125	37.1
	15.006250000000001	18.8		25.399999999999995	26.3
	14.34375	18.4		24.13125	26.4
	14.218749999999998	15.7		23.781250000000004	22.3
	14.25625	13.7		23.775	26.9
	13.775	12.2		24.356250000000003	20.3
	14.274999999999999	10.6		24.187499999999996	20.3
	15.350000000000001	14.2		25.181250000000006	22.8
	14.906250000000004	13.3		24.71875	18.6
	14.100000000000001	16.7		24.218749999999996	25.2
	13.750000000000002	10.8		23.218749999999996	23.2
	14.006250000000001	9.9		23.74375	21.8
	14.274999999999999	13.5		23.8375	26.6
	14.750000000000002	13.2		25.15625	25.9
	15.1125	15.1		24.312500000000004	30
	14.775	15.7		23.88125	29.8
	14.250000000000002	15.7		23.23125	24.6
Jul.	14.45625	14.8		23.343750000000004	27.2
	14.34375	15.2		23.8375	29.2
	14.35	17.4		25.03125	30.3
	14.9625	15.8		24.575	24.9
	15.00625	11.9		26.062499999999996	21
	16.0375	10.9		26.975	19.3
	16.325	10.3		25.387500000000006	21.6
	16.050000000000004	10.7		25.10625	19.7
	15.431250000000002	11.9		24.83125	19.1
	14.881250000000001	10.1		25.706249999999997	23.7
	15.950000000000001	13.2		25.39375	28.8
	15.237499999999999	16.9		25.70625	28.5
	16.25625	15.4		25.606250000000003	22.9
	16.43125	12.6		25.393749999999994	24
	16.125000000000004	16.4		24.681250000000002	31.7
	15.462499999999999	20.9		24.056249999999995	37.1
	15.09375	18.5		23.90625	32.2
	15.343750000000002	15.8		25.43125	22.9
	15.762500000000001	14.3		26.368749999999995	24.5
	16.31875	15		25.862499999999997	30.8
	16.318749999999998	20.8		25.58125	32.3
	15.418749999999998	22.6		24.25625	32.1
	14.762500000000001	19.1		24.9875	26.7
	15.325000000000001	13		25.106250000000003	22.9
	15.724999999999998	11.9		26.218749999999996	24.3
	16.10625	14.4		25.6875	32.8
	15.16875	18.2		24.943749999999998	31.4
	14.950000000000001	12		24.18125	23.5
	14.993749999999997	11.4		24.60625	25.5
	15.187500000000002	13.9		25.381250000000005	28.4
	15.662499999999996	14.8		26.275000000000002	33.1
Aug.	15.85625	19		25.824999999999996	35.8
	15.624999999999998	17.1		24.906249999999996	26.5
	15.225	-2.3		24.5875	20.9
	15.462500000000002		11.6	24.9875		20.2
	15.281249999999998		15.3	23.700000000000003		21.5
	14.581249999999997		14.7	24.049999999999997		24
	14.762500000000001		15.3	25.131249999999998		25
	14.968750000000002		13.7	24.75625		25.3
	14.44375		12.8	24.043749999999996		21.1
	14.499999999999998		12.7	24.337500000000002		22.2
	14.599999999999998		11.6	24.356250000000003		21.1
	14.750000000000002		15	24.40625		24.3
	14.65625		14.6	23.249999999999996		23.6
	13.893749999999999		14.3	22.7375		23.8
	13.75		14.1	23.537499999999998		23
	14.662499999999998		14.2	23.850000000000005		23
	14.156250000000002		13.6	22.95625		22.7
	12.637500000000003		12.6	21.087500000000002		21.8
	12.587499999999999		12.8	20.85		21.5
	12.70625		13.3	22.362499999999997		22.7
	13.500000000000002		13.6	23.5125		23.4
	13.500000000000002		13.2	23.275		22.3
	13.0875		12.7	22.7		22.3
	12.925000000000002		12.6	22.275000000000002		22.6
	12.562499999999998		13.2	21.9125		22.6
	13.1625		13.1	22.20625		22.1
	13.506250000000001		13.3	22.443749999999998		22.3
	13.268749999999999		13.1	22.31875		22.5
	12.925		12.3	22.599999999999998		22
	12.68125		12.7	20.681250000000002		20.2
	12.093749999999996		12.1	19.64375		19.9
Sep.	12.35625		12.5	20.93125		20.6
	11.7		11.8	19.893749999999997		20
	11.50625		11.4	20.675000000000004		20.4
	11.3625			19.44375
	10.9625			19.69375
	10.743749999999999			19.7
	9.89375			19.90625
	10.068749999999998			18.774999999999995
	9.8			18.418749999999996
	10.3375			18.7125
	10.325			17.856250000000003
	10.381250000000001			18.449999999999996
	10.63125			18.28125
	9.987500000000002			17.81875
	9.1875			17.925
	8.9625			17.5875
	8.312500000000002			16.999999999999996
	8.70625			17.225
	9.225			17.325000000000003
	9.137500000000001			16.76875
	9.062499999999998			16.1375
	9.031249999999998			15.862499999999997
	8.712500000000002			15.3125
	8.1125			14.762500000000001
	7.824999999999998			15.206249999999999
	7.85625			15.36875
	7.775			15.200000000000001
	7.443749999999999			14.437500000000004
	6.718750000000001			14.75625
	7.06875			14.356250000000003
Oct.	7.525			13.937499999999998
	7.387499999999999			13.55
	7.425000000000001			14.993750000000002
	6.63125			14.674999999999999
	7			13.9125
	7.7875			14.34375
	7.725			14.89375
	8.01875			14.18125
	7.487499999999999			14.09375
	7.71875			13.999999999999998
	7.7375			13.712499999999999
	7.900000000000001			13.80625
	6.35625			13.037499999999998
	6.55			12.5125
	6.193750000000001			12.61875
	6.4937499999999995			12.624999999999998
	6.275			12.84375
	6.575000000000001			12.537500000000001
	6.7625			12.912499999999998
	6.425000000000001			12.36875
	5.968750000000001			11.7625
	6.206249999999999			11.61875
	5.85			11.218749999999998
	5.875			11.099999999999998
	5.325			10.368749999999999
	5.20625			10.443750000000003
	3.9499999999999997			9.76875
	3.625			9.04375
	4.43125			9.86875
	4.29375			9.475000000000001
	4.0125			9.087500000000002
Nov.	3.7375			9.14375
	3.1875			7.7
	2.60625			7.237499999999998
	2.975			7.362500000000001
	3.05			7.6499999999999995
	2.3125			6.843749999999999
	1.33125			5.787500000000001
	1.1187499999999997			5.4750000000000005
	1.7062500000000003			6.8875
	1.5624999999999998			6.5625
	1.0875			5.700000000000001
	1.43125			5.8500000000000005
	0.9750000000000001			5.324999999999999
	1.00625			5.53125
	0.32500000000000007			4.6625
	-0.44375000000000003			3.8625000000000003
	-1.08125			3.431250000000001
	-1.2875			3.9062499999999996
	-1.0500000000000003			3.51875
	-0.6625			3.6375
	-0.04999999999999998			3.93125
	0.36249999999999993			4.112499999999999
	1.0999999999999999			4.79375
	1.09375			5.14375
	1.24375			4.81875
	0.34375			4.637499999999999
	0.8749999999999999			4.63125
	0.12500000000000008			4.4625
	-0.5750000000000003			3.9874999999999994
	-0.16249999999999998			3.7625
Dec.	-0.21875			4.206250000000001
	0.27499999999999997			4.55
	1.3062500000000001			5.6375
	1.1			5.43125
	1.2			5.6625
	1.5062499999999999			5.7437499999999995
	1.4187499999999997			5.4875
	1.8062499999999995			5.3875
	2.3375000000000004			6.2
	2.375			6.593750000000001
	1.69375			5.906250000000001
	1.56875			5.9875
	1.1124999999999998			4.956250000000001
	0.6749999999999999			4.90625
	0.32499999999999984			3.9125
	-0.025000000000000078			4.99375
	2.313333333333333			6.453333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

27 Jun. 26

-15°C

Lowest Temp

12 Jan. 26

Seasonal Breakdown

Hottest MonthAugust27.91°C

Coldest MonthJanuary-3.69°C

Wettest MonthMay2.26mm

Windiest MonthJuly21.59km/h

Lutherstadt Wittenberg 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 Lutherstadt Wittenberg historically?

August is historically Lutherstadt Wittenberg's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2026-06-27.

2. What is the coldest month in Lutherstadt Wittenberg historically?

January is Lutherstadt Wittenberg's coldest month, with average minimum temperatures around -1°C. The all-time record low of -19°C was recorded on 2012-02-12.

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

Lutherstadt Wittenberg's average annual rainfall is approximately 612.7mm, based on records spanning 17 years.

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

Lutherstadt Wittenberg historically records approximately 199.8 rainy days per year. July has the highest number of rain days at an average of 18.4 days.

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

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

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

The all-time lowest temperature recorded in Lutherstadt Wittenberg is -19°C on 2012-02-12.

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

Lutherstadt Wittenberg experiences its strongest winds during January. The historic gust record of 63 kph was recorded on 2026-08-17.

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

Usually, Lutherstadt Wittenberg's humidity peaks in January at around 86.9% and drops to its lowest in August at approximately 66.2%.

Recent Blogs On Weather

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Lutherstadt Wittenberg Historic Weather Records
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Lutherstadt Wittenberg Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Lutherstadt Wittenberg 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?

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Lutherstadt Wittenberg Historic Weather Records
Analyse hottest, coldest, windiest & wettest days