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

Dortmund Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.1125	0.8		6.7875	2.6
	1.89375	-0.3		6.212499999999999	1.7
	2.3000000000000003	-1.5		5.8374999999999995	0.2
	1.74375	-1.3		5.143750000000001	0.8
	1.4749999999999999	-5		5.112500000000001	-1.3
	1.68125	-4.7		5.6499999999999995	-0.9
	1.2437500000000004	-4.8		5.2124999999999995	-0.9
	1.6124999999999996	-2.3		5.1812499999999995	1.2
	1.6375000000000004	1.4		5.25	5
	0.9375000000000002	-4.5		4.831250000000002	1.7
	0.5437500000000001	-5.2		4.58125	-0.4
	1.025	-0.9		4.656250000000001	6
	1.30625	5.6		5.2	7.9
	0.95	5.6		4.79375	7.9
Jan.	0.7749999999999999	6.6		4.725	8.9
	0.19999999999999996	6.5		3.9250000000000003	9.8
	-0.425	3.6		3.475	7.1
	-1.4500000000000002	2.1		3.45625	7.3
	-1.5062499999999996	0.6		3.08125	7.4
	-1.5437499999999997	1		2.7062500000000007	6.7
	-1.7625000000000002	-0.3		3.5125	6.3
	-0.675	1.7		3.79375	6.8
	-0.34375	4.1		3.95	7.6
	-0.1374999999999999	1		4.46875	5.5
	-0.26250000000000007	0.7		4.0062500000000005	5.5
	-0.04374999999999998	-0.2		4.19375	1.1
	0.4312499999999999	-0.2		5.1312500000000005	5.3
	1.1312499999999999	1		5.737500000000001	3.5
	1.2999999999999998	0.9		5.55625	2.5
	0.5374999999999999	-0.1		5.31875	4.5
	0.2500000000000002	2.5		4.625	7
	0.4437499999999998	2.8		4.5874999999999995	6.5
	0.6062500000000003	2.2		5.2625	5.3
	1.3375	-0.7		5.45	4.2
	0.9125	2.2		5.46875	8.2
	1.0625	1.8		5.612500000000001	7.2
	0.6874999999999999	1.9		5.19375	7.6
	-0.7687499999999997	5		4.8500000000000005	10
	-1.09375	2.7		4.65	8.7
	-0.6062500000000001	1.9		4.4625	7.6
	-1.1937500000000005	2.4		4.4312499999999995	9.7
	-0.55	6.2		4.24375	9.6
	-1.0875000000000004	6.5		3.9875	8.7
	-1	1.3		5.31875	7.2
	-0.14375	-1.3		6.374999999999999	1.3
Feb.	1.5499999999999998	-1.8		7.3062499999999995	3.3
	2.4375	1.7		8.024999999999999	5
	1.81875	0.5		7.418749999999999	3.7
	2.3625	-0.7		7.6812499999999995	1.9
	1.6937500000000003	0.6		6.65	2.5
	1.575	-0.2		7.706250000000001	6.3
	2.6750000000000003	5.8		7.95	9.9
	2.7937499999999997	9.4		8.2875	11.3
	1.99375	8		8.16875	10
	2.6437500000000003	7.3		8.05	9.2
	2.1562500000000004	8.2		8.1875	15.9
	1.6125	8.5		7.35625	16.5
	1.04375	10.1		7.331250000000001	17.9
	0.7937499999999998	8		7.262499999999999	12.7
	1.4249999999999998	4.6		7.56875	12.8
	0.8687499999999998	6.2		8.3125	14.7
	1.6624999999999999	7.2		8.575	15.9
	1.5875	5.7		9.174999999999999	14.5
	1.5687499999999999	7.3		8.475000000000001	17
	1.4562500000000003	7.4		8.4	17.9
	1.51875	8.6		8.812499999999998	16.8
	1.76875	8.6		9.200000000000001	17.7
	2.525	8.2		9.75625	17.1
	2.025	8.9		10.35	17.2
	2.4499999999999997	7.3		9.24375	11.6
	2.9437499999999996	5.5		9.893749999999999	12.3
	2.9687500000000004	4.8		9.75625	10.4
	2.7500000000000004	2.3		9.225	4.6
Mar.	2.675	1.8		10	8.8
	3.01875	5.2		10.5875	8.9
	3.20625	4.9		9.856250000000001	12.2
	2.9499999999999997	4.1		10.63125	13.7
	3.25625	4.9		10.8125	14.9
	3.15625	6.1		11.700000000000001	12.9
	3.49375	5.7		11.4125	13.8
	3.4812499999999993	4.2		11.456249999999997	15.1
	3.71875	6.5		11.76875	14.3
	3.4812499999999997	7.1		11.987499999999999	14.8
	3.3437499999999996	3.8		11.362499999999999	11.4
	3.1125000000000003	2.2		10.4625	6.9
	2.7625	0		11.981250000000001	9.2
	4.1125	3.5		13.187499999999998	7.8
	4.875	1.4		13.218750000000002	10
	4.8999999999999995	3.8		13.2375	8.1
	4.981249999999999	1.9		12.506249999999998	9.5
	3.925	2.6		11.1875	13.4
	3.1249999999999996	3.7		11.8625	11.1
	4.2375	3.2		12.41875	12.6
	4.23125	9.9		11.8125	14.5
	3.5749999999999993	8.4		11.243749999999997	13.8
	3.9124999999999996	4.7		12.537500000000003	13.7
	5.187499999999999	4.8		14.962499999999999	14.8
	4.85	5.3		13.412500000000001	17.6
	4.456250000000001	8.8		15.05	20.5
	5.325	6.2		14.39375	12.3
	5.18125	5.6		13.84375	19.6
	5.15	5.9		14.087499999999997	13.8
	6.3062499999999995	7.1		14.087499999999999	11.3
	4.9375	6.1		14.69375	16.4
Apr.	5.0375	7.4		14.418750000000001	17.8
	4.65	11.7		14.150000000000002	18.2
	4.58125	10.4		14.55625	20.3
	4.95625	12.1		14.337499999999999	18.2
	5.0875	6.9		15.675	13.3
	5.8125	5.3		16.14375	11.4
	5.6875	5.1		15.887500000000003	13.7
	6.018750000000001	4.1		15.787499999999998	15.5
	6.1	5.5		15.925	17.6
	5.94375	5.2		16.2	17.5
	6.6375	5.8		15.043750000000003	17.6
	5.562500000000001	5.2		14.562500000000002	15.2
	5.2124999999999995	5.8		13.818750000000001	16.4
	5.6	7.3		15.74375	17.1
	6.987499999999999	4.9		16.66875	16.7
	7	5.4		16.49375	18.9
	7.350000000000001	8.1		16.400000000000002	23.1
	7.15625	11.9		16.03125	24.9
	6.7562500000000005	13.9		15.875000000000002	21.5
	6.3375	11		14.600000000000001	19.2
	6.10625	10.5		15.631250000000001	13
	6.643749999999999	7.2		16.39375	8.6
	7.7	6.8		16.625	14.4
	8.100000000000001	4.9		17.76875	16.5
	9.4	7.6		19.106250000000003	19.8
	9.60625	9.9		18.24375	19.4
	9.649999999999999	4.8		18.718750000000004	12.8
	9.206249999999999	3.5		17.5375	11.8
	7.90625	7.2		16.875	13.5
	7.875000000000001	5.2		17.2125	9.1
May	7.41875	3		16.80625	13.9
	7.637499999999999	4.2		16.36875	14.3
	7.887499999999999	4.8		16.35	14.2
	7.8374999999999995	9.1		17.756249999999998	15.5
	8.81875	7.1		18.73125	16.6
	9.418750000000001	11.8		19.018749999999997	17.9
	10.125	9.4		19.88125	17.7
	10.318749999999998	11.5		20.1125	25.4
	10.38125	14.9		19.431249999999995	29
	9.700000000000001	16.3		18.56875	25.6
	9.3125	13.2		17.987499999999997	26.5
	9.94375	14.8		18.406249999999996	30.8
	9.8	14.8		19.156249999999996	22.9
	10.087500000000002	9.4		19.468749999999996	22.5
	9.531249999999998	13.3		19.1625	31.3
	10.431250000000002	16.4		19.68125	24.8
	10.74375	14.8		20.475	20.4
	10.7875	13.1		19.556250000000002	22.6
	10.875	13.9		20.981249999999996	22.7
	11.556249999999999	11.5		21.66875	19.5
	11.7375	13.4		21.79375	18.1
	12.04375	11.3		21.737500000000004	18.4
	11.41875	10.8		20.95	21.2
	11.531250000000002	11.9		20.818750000000005	18.3
	12.168750000000001	12.1		21.21875	22.6
	12	11.2		21.499999999999996	18.3
	12.318749999999998	9.2		21.643749999999997	18.3
	12.224999999999998	8.2		21.38125	17.9
	11.768749999999999	11.2		20.85	18
	11.8625	13.4		21.2375	18.2
	11.749999999999998	11.7		22.075	17.6
Jun.	12.518749999999999	9.1		21.2375	15.5
	12.068750000000003	12.7		20.862500000000004	25
	12.19375	14.2		22.80625	24.6
	14.106250000000003	16.8		23.5125	30.5
	13.881250000000001	20.1		22.081249999999997	35.3
	13.243749999999999	19.4		21.7375	33
	12.374999999999998	20.1		21.624999999999996	30.8
	13.2875	16.2		22.956249999999997	28.2
	12.587499999999999	16.7		21.4125	29.5
	13.056249999999999	19.9		22.2125	34.7
	14.018749999999999	22.6		23.14375	33.8
	13.5625	22.2		23.0375	38.4
	13.212499999999999	22.2		23.612499999999997	39.1
	14.362499999999999	20.9		24.09375	33.5
	14.65625	20.1		23.91875	28.4
	14.05	17.4		23.393749999999997	26.5
	14.05625	16		22.33125	26
	13.793749999999998	15.6		23.39375	26.4
	13.24375	12.4		22.556250000000002	24.8
	13.500000000000002	13.6		23.51875	25.7
	14.3	15.8		23.525000000000002	20.9
	13.987500000000002	14.2		22.6625	27.4
	13.531249999999998	18.4		22.9125	28.7
	12.993749999999999	16.4		22.45625	22
	14.093749999999998	14.7		22.612499999999997	26.3
	13.749999999999996	15.5		23.418750000000003	27.3
	14.88125	16.4		23.94375	29.1
	14.312500000000002	17.3		23.068749999999998	30.1
	13.937499999999998	15.7		21.5875	30.5
	13.53125	17.7		22.174999999999997	29.1
Jul.	13.3125	17.1		21.85625	27.9
	13.80625	17		23.093750000000004	28.5
	14.043750000000003	17		23.337500000000002	29.9
	14.312500000000002	16.2		24.825000000000006	23.9
	15.46875	13.8		26.581250000000004	22.5
	15.875000000000002	14		25.68125	23.1
	15.54375	11.9		24.406250000000004	25
	15.356250000000003	13.6		23.89375	21
	14.83125	14.8		24.299999999999997	23.5
	15.20625	12.6		24.718750000000004	24.7
	15.2125	16.5		24.606250000000003	29.4
	15.287500000000001	17.2		24.4	23.9
	15.84375	15.2		23.8875	23.1
	15.5125	14.5		23.63125	28.4
	15.1125	20.2		22.79375	34.2
	14.431249999999999	22.2		23.1125	36.7
	14.58125	19.9		22.96875	30.4
	15.09375	15.6		24.231250000000003	25.7
	15.45	16.5		25.506249999999998	29.3
	15.86875	19		24.31875	34.6
	15.7625	21.2		24.181250000000002	33.8
	14.906250000000002	20.2		23.106250000000006	30
	14.475000000000001	17		24.28125	26.1
	14.825000000000001	14.3		24.931250000000002	22.8
	15.1125	14.5		23.268749999999997	28.2
	14.712499999999997	18.8		23.787499999999998	31.9
	14.6625	18.4		23.43125	29.7
	14.387500000000001	13.5		23.825000000000003	25.4
	14.731250000000001	13.7		24.025000000000002	30.1
	15.456249999999997	18.1		25.393750000000004	34.5
	15.6625	21.7		25.96875	37.1
Aug.	16.0875	22.4		24.350000000000005	34.7
	15.08125		16.5	23.706250000000004		25.2
	15.1		17.1	21.518749999999997		22.2
	14.725		16.1	22.8		20
	14.387500000000001		15	23.11875		24.3
	14.337500000000002		13.1	24.187500000000004		23
	14.649999999999999		14.2	24.818750000000005		24.9
	15.087499999999999		12.5	23.950000000000003		23.2
	15		13.6	24.0875		24.2
	14.581249999999997		14.8	23.93125		24.7
	14.581250000000002		14.5	24.206249999999997		23.5
	14.94375		14.8	23.89375		23.5
	14.450000000000001		14.2	22.174999999999994		23.2
	13.749999999999998		14.2	23.293750000000003		23.2
	14.356250000000001		13.9	23.193749999999998		22.5
	14.268750000000002		13.6	22.5375		21.8
	13.3375		13.1	21.79375		21.8
	12.124999999999998		12.2	20.0625		20.9
	12.131249999999998		12.2	21.83125		22
	12.856250000000001		13.2	22.631249999999998		21.9
	13.725		13.6	22.950000000000003		22.3
	14.368750000000002		13.9	22.900000000000002		22.8
	13.724999999999998		13.2	23.081249999999997		22.7
	13.362499999999999		13.3	21.287499999999998		22.1
	13.012499999999998		13.6	21.23125		21.4
	13.35625		13.3	21.35		21.6
	13.39375		13	21.39375		20.7
	13.3875		12.8	21.349999999999998		21
	12.531250000000002		12.3	21.068750000000005		20.7
	12.76875		12.7	19.5625		19.5
	11.624999999999996		11.7	19.656250000000004		19.6
Sep.	12.081249999999997		12.2	20.01875		20.1
	12.0375			20.575
	11.95625			19.6625
	11.899999999999999			19.23125
	11.062499999999998			19.4125
	11.393749999999999			19.8125
	10.468749999999998			19.74375
	10.325			19.51875
	10.4875			18.762500000000006
	10.649999999999999			18.475
	10.625			18.58125
	10.787500000000001			17.481249999999996
	10.537500000000001			17.825000000000003
	10.53125			17.806250000000002
	10.38125			17.625000000000004
	9.33125			17.056250000000002
	9.525			17.725
	9.91875			17.275000000000002
	9.825			17.381249999999998
	10.375			17.006249999999998
	10.375000000000002			16.175
	9.39375			15.78125
	8.975000000000001			15.73125
	9.30625			15.450000000000001
	8.475			15.80625
	8.6875			16.162499999999998
	8.55			15.150000000000002
	7.593750000000001			14.718750000000002
	8.975			15.168750000000003
	8.193750000000001			14.912500000000001
Oct.	7.9624999999999995			14.331249999999995
	7.83125			14.299999999999999
	8.66875			15.18125
	7.9624999999999995			15.106250000000001
	9.15			15.662500000000001
	9.262500000000001			14.33125
	8.3			14.6
	8.55625			13.918749999999998
	8.1875			14.58125
	8.45			14.4375
	8.35625			13.218749999999998
	8.61875			13.943750000000001
	7.8999999999999995			13.29375
	7.3875			13.08125
	7.625			13.4125
	7.56875			12.862499999999999
	7.5062500000000005			13.481250000000001
	7.79375			13.874999999999998
	8.0125			13.350000000000003
	7.7875000000000005			12.925
	7.0874999999999995			12.25625
	6.4625			11.831249999999999
	6.125			11.699999999999998
	6.35			11.181250000000002
	6.3			11.468749999999998
	6.33125			11.0625
	6.03125			10.96875
	5.250000000000001			10.450000000000001
	6.012499999999999			10.700000000000001
	5.425			10.75
	5.074999999999999			10.131250000000001
Nov.	5.1375			10.056249999999999
	4.3187500000000005			9.2625
	3.9687500000000004			8.83125
	4.46875			8.40625
	4.20625			8.55625
	3.0875			8.09375
	2.4999999999999996			7.468749999999998
	2.5500000000000003			7.018750000000001
	3.8999999999999995			8.293750000000001
	3.0625			7.8812500000000005
	2.7750000000000004			7.5249999999999995
	2.7062500000000003			7.131250000000001
	2.8874999999999997			6.88125
	2.2937499999999997			6.731250000000001
	1.8062500000000001			5.987500000000002
	1.0937499999999998			5.65625
	0.5312500000000001			4.9375
	0.9500000000000001			5.275
	1.48125			5.05625
	0.9624999999999999			5.250000000000001
	1.18125			4.800000000000001
	1.6875			5.40625
	2.0999999999999996			5.8500000000000005
	2.28125			6.23125
	2.125			5.80625
	1.53125			5.51875
	1.78125			5.518750000000001
	1.3187499999999999			5.28125
	1.19375			5.143750000000001
	1.0375			4.8999999999999995
Dec.	1.5125000000000002			5.85625
	2.43125			6.793749999999999
	3.5000000000000004			7.05625
	3.16875			6.7562500000000005
	3.64375			7.612500000000002
	3.225			7.193750000000001
	2.85625			6.65
	3.6750000000000003			7.374999999999999
	4.281249999999999			7.525
	4.106250000000001			7.55625
	2.7375			6.875
	2.7375			6.606250000000001
	2.18125			6.4624999999999995
	1.96875			5.731249999999999
	1.74375			5.893750000000001
	2.0124999999999997			6.268749999999999
	3.806666666666666			7.546666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

27 Jun. 26

-5°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.26°C

Coldest MonthJanuary0.46°C

Wettest MonthMay3.66mm

Windiest MonthJuly18.79km/h

Dortmund 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 Dortmund historically?

August is historically Dortmund's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2026-06-27.

2. What is the coldest month in Dortmund historically?

January is Dortmund's coldest month, with average minimum temperatures around 1°C. The all-time record low of -17°C was recorded on 2021-02-10.

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

Dortmund's average annual rainfall is approximately 910.2mm, based on records spanning 17 years.

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

Dortmund historically records approximately 227.1 rainy days per year. December has the highest number of rain days at an average of 21.6 days.

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

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

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

The all-time lowest temperature recorded in Dortmund is -17°C on 2021-02-10.

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

Dortmund experiences its strongest winds during December. The historic gust record of 53.9 kph was recorded on 2015-07-25.

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

Usually, Dortmund's humidity peaks in January at around 84.7% and drops to its lowest in August at approximately 66.001%.

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

Dortmund 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

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

Dortmund 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

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