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

Gelsenkirchen Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.3375	0.9		6.968749999999999	3.2
	2.2	0.2		6.4312499999999995	2.2
	2.4125	-1		6.31875	0.8
	2.075	-0.7		5.55625	1.2
	2.0187500000000003	-3.7		5.575	-0.8
	2.0375	-4.8		5.956249999999999	-0.7
	1.6812500000000001	-4.2		5.499999999999999	0.3
	1.7187500000000002	-1.3		5.593749999999999	1.4
	2.0375000000000005	2.1		5.63125	5.1
	1.2937500000000006	-3.3		5.25	1.7
	0.8812500000000002	-4.6		4.9375	-0.4
	1.7062499999999998	-0.3		5.137499999999998	6.2
	1.8625	5.7		5.637499999999999	8.1
	1.4124999999999999	5.8		4.975	8
Jan.	0.9812499999999998	6.7		5.1875	9.3
	0.5374999999999999	6.7		4.25625	10.3
	0.05625	4		3.8249999999999997	7.5
	-0.7812499999999999	2.3		3.775	7.5
	-0.9062499999999998	0.8		3.3437500000000004	7.1
	-1.1499999999999997	1.1		3.1125	6.9
	-1.2562499999999999	-0.2		3.8125	6.5
	-0.08124999999999992	1.9		4.1125	7.2
	0.12499999999999994	4.4		4.35	7.9
	0.2874999999999999	1.3		4.86875	6.1
	-0.05625000000000002	0.9		4.312500000000001	5.7
	0.29375	0.2		4.4	1.5
	0.7875	0.2		5.518749999999999	6.3
	1.25	0.8		6.025	3.9
	1.70625	1		5.856249999999999	2.6
	1.05625	-0.1		5.6875	4.9
	0.5999999999999999	2.8		4.94375	7.5
	0.9062500000000002	3.7		4.8812500000000005	7.6
	1.0187500000000003	2.5		5.70625	5.2
	1.6187500000000001	-0.5		5.9	4.4
	1.2625	2.7		5.86875	8.5
	1.575	2		5.949999999999999	7
	1.11875	2.4		5.599999999999999	7.8
	-0.3875	5.4		5.24375	10.1
	-0.64375	3.4		5.062500000000001	9.1
	-0.25624999999999987	2.2		4.76875	7.9
	-0.5625000000000002	3.3		4.8125	9.8
	-0.23750000000000004	6.5		4.69375	9.8
	-0.7187500000000001	6.7		4.48125	8.7
	-0.6000000000000001	1.8		5.6312500000000005	7.6
	0.08749999999999988	-1		6.68125	1.7
Feb.	1.4312500000000001	-1.4		7.75625	3.7
	2.4187499999999997	1.5		8.356250000000001	5.7
	1.9562500000000003	1.1		7.743750000000001	4.5
	2.50625	-0.2		7.9437500000000005	2.4
	2.0124999999999997	0.9		7.00625	2.8
	1.78125	-0.5		8.081249999999999	7.4
	2.9875	6.6		8.3125	10.3
	2.9937500000000004	9.7		8.806249999999999	11.5
	2.34375	8.4		8.6	10.6
	2.85	7.4		8.525	9.1
	2.4624999999999995	8.2		8.524999999999999	16.1
	1.9749999999999996	8.5		7.83125	16.6
	1.325	10.4		7.725	18
	1.1124999999999998	7.7		7.656249999999999	12.8
	1.8125000000000004	4.8		7.956249999999999	13.1
	1.125	6.6		8.537500000000001	14.8
	1.95	7.1		8.8625	15.8
	2.01875	6.1		9.499999999999998	14.7
	1.6312499999999999	7.6		8.81875	17.3
	1.6937499999999996	7.8		8.743749999999999	18
	1.6312499999999999	8.8		9.16875	17
	2	8.7		9.512500000000001	18
	2.7624999999999997	8.4		10.025	17.2
	2.2562499999999996	9.1		10.693750000000001	17.1
	2.8249999999999993	7.2		9.5875	11.8
	3.14375	5.7		10.39375	12.3
	3.1312500000000005	5.2		10.19375	10.6
	3.0624999999999996	3.1		9.687499999999998	4.9
Mar.	3.0125	1.5		10.424999999999999	9.8
	3.3937499999999994	6.2		11	9.4
	3.5312499999999996	6		10.268749999999999	13.5
	3	4.8		10.918750000000001	14.3
	3.7249999999999996	5.4		11.1375	15.3
	3.475000000000001	6.9		11.824999999999998	13.2
	3.8187499999999996	6.2		11.731250000000001	14.2
	3.8187500000000005	4.9		11.787499999999998	15.4
	4.0625	6.8		11.9625	14.4
	3.8874999999999997	7.7		12.399999999999999	15
	3.5312499999999996	4.2		11.7375	12.1
	3.43125	1.9		10.743749999999999	7.4
	2.75	0.2		12.38125	9.2
	4.137499999999999	3.6		13.35625	8.8
	5.2125	1.5		13.618749999999999	10.3
	5.143749999999999	4.3		13.65	8.6
	5.293750000000001	2.2		12.993750000000002	9.8
	4.28125	2.9		11.606249999999998	13.6
	3.4875	4.1		12.175	10.7
	4.55	2.7		12.7875	12.9
	4.668749999999999	10.1		12.256250000000001	14.8
	4.018750000000001	8.3		11.781249999999998	13.7
	4.25625	4.5		12.90625	13.7
	5.718750000000001	5.3		15.350000000000001	15.7
	5.199999999999999	5.7		13.912500000000001	18.7
	4.8999999999999995	9		15.40625	21.3
	5.581250000000001	6.3		14.59375	12.5
	5.4125	6		14.037500000000001	19.8
	5.4937499999999995	5.9		14.475	13.8
	6.48125	7.9		14.3875	12.4
	5.2437499999999995	6		14.981250000000001	16.4
Apr.	5.44375	7.5		14.868749999999999	18.1
	5.224999999999999	11.8		14.349999999999998	18
	5.087499999999999	10.3		14.887500000000001	20.6
	5.343749999999999	12.2		14.893749999999999	17.4
	5.40625	6.4		16.05	13.9
	6.2125	5.3		16.599999999999998	12.4
	6.112500000000002	5.5		16.29375	14.4
	6.331250000000002	4.9		16.18125	16.2
	6.687500000000002	6		16.16875	18.1
	6.30625	4.8		16.506249999999998	17.8
	6.88125	5.3		15.4375	17.6
	5.825000000000001	5.6		14.85625	16.1
	5.48125	6.6		14.24375	17.4
	6.024999999999999	8		16.11875	17.7
	7.4	6.2		16.73125	17.3
	7.237499999999999	6.2		16.75625	19.9
	7.5375000000000005	8.5		16.70625	23.5
	7.51875	12.1		16.206249999999997	24.7
	6.9125	14.1		16.18125	21.6
	6.762499999999998	11		14.975	19
	6.3	10.9		15.943750000000001	13
	6.9624999999999995	7.4		16.8	8.9
	8.1	6.7		17.012500000000003	15.3
	8.45625	5.6		18.09375	17.8
	9.4375	8.3		19.506249999999998	20.4
	10.0125	10.4		18.68125	19.8
	9.85625	5		18.89375	13.2
	9.575000000000001	3.7		17.85625	12.4
	8.25625	7		17.268749999999997	13.9
	7.95625	5.7		17.625	8.9
May	7.812499999999999	3		17.206249999999997	13.4
	8.04375	3.5		16.6625	14.5
	8.175	5		16.5375	14.1
	8.11875	9.4		18.03125	16.3
	8.95625	7.3		19.075	17.1
	9.756250000000001	11.9		19.3875	17.9
	10.38125	9.8		20.181250000000002	19.7
	10.54375	11.7		20.51875	26.2
	10.706249999999999	15		19.70625	29.3
	9.987499999999999	16		18.775000000000002	26.6
	9.84375	13.5		18.45625	27.6
	10.4375	15.3		18.662499999999998	31.7
	10.393749999999999	15.4		19.706249999999997	23.8
	10.306250000000002	10.3		19.8125	23.9
	10.0375	14.1		19.6125	31.5
	10.737499999999999	16.2		20.05	25.4
	11.143750000000002	15.3		20.837500000000002	21
	10.987499999999999	12.5		20.25	22.8
	11.21875	14.2		21.343749999999996	22.5
	11.93125	11.5		22.331250000000004	19.4
	11.937500000000002	13.4		21.987499999999997	17.3
	12.225	11.2		21.7375	18.1
	11.762500000000001	10.8		21.26875	22.6
	11.64375	12.5		21.081249999999994	19.7
	12.462500000000002	12.4		21.374999999999996	22.9
	12.256250000000001	10.9		21.568749999999998	18.3
	12.4875	9		22	18
	12.3625	8.2		21.875000000000004	18.1
	11.96875	11.2		21.225	18.8
	12.056250000000002	13.6		21.618750000000002	18.1
	11.9875	11.7		22.243750000000002	17.6
Jun.	12.84375	9.2		21.5875	16.1
	12.331250000000002	13.2		21.381249999999998	25
	12.649999999999999	14.3		23.156250000000004	24.7
	14.112499999999997	17		23.756249999999998	30.6
	14.125	19.5		22.312499999999996	35.3
	13.61875	19.4		22.174999999999997	32.2
	12.537500000000001	20.4		21.8625	32.1
	13.59375	16.9		22.99375	29.2
	12.66875	17.3		21.775000000000006	30.5
	13.275	20.5		22.568749999999994	35.9
	14.18125	23.2		23.474999999999998	34.8
	13.85625	22.7		23.20625	39.1
	13.500000000000002	24.2		23.98125	39.3
	14.762500000000001	21.5		24.106249999999996	33.6
	15.081249999999997	19.8		24.25	28.4
	14.393749999999999	17.6		23.599999999999998	26.1
	14.281249999999998	15.4		22.69375	26.1
	14.1625	15.5		23.693749999999998	25.9
	13.3875	11.9		22.8375	24.7
	13.73125	13.8		23.599999999999998	25.9
	14.437500000000004	16		23.43125	21.2
	14.168750000000001	15		22.73125	28.3
	13.725000000000001	18.6		23.11875	28.8
	13.03125	16		22.675000000000004	22.8
	14.343749999999998	15		23.03125	27.2
	13.931249999999999	16.1		23.737499999999997	28.5
	14.906249999999996	17.1		24.35625	30.1
	14.40625	18.1		23.218750000000004	30.7
	14.08125	16.2		21.88125	31.3
	13.78125	18.5		22.412499999999998	29.9
Jul.	13.79375	18		21.81875	28.7
	14.0125	17.5		23.331249999999997	28
	14.462499999999999	17.6		23.5125	29.9
	14.531250000000004	15.3		25.075000000000003	24.5
	15.537500000000001	14.6		26.737499999999997	22.8
	16.0375	13.7		25.75	22.8
	15.750000000000002	11.7		24.812500000000007	25.3
	15.525000000000002	12.6		24.268749999999997	21.4
	14.8625	14.9		24.73125	24
	15.531250000000002	12.3		25.018750000000004	25
	15.368750000000002	16.4		24.843749999999996	29.7
	15.6875	17.1		24.637499999999996	23
	16.150000000000006	15.1		24.049999999999997	23.1
	15.768749999999999	14.7		23.818749999999998	28.9
	15.418750000000001	20.6		22.9875	34.2
	14.612500000000002	21.3		23.268750000000004	34.9
	14.874999999999998	19.8		23.1	30.8
	15.206249999999999	15.4		24.400000000000002	25.9
	15.799999999999999	16.7		25.56875	29.7
	16.118750000000002	19.4		24.3125	35
	15.756250000000001	21.9		24.11875	34.3
	15.162499999999998	20.3		23.087500000000006	29.1
	14.631250000000003	16.5		24.487500000000004	26
	14.9875	13.6		25.162499999999994	22.9
	15.193750000000001	14.3		23.487499999999997	28
	14.931249999999999	18.9		23.95	32.3
	14.862499999999997	18.7		23.650000000000006	29.3
	14.4625	13.7		24.14375	25.8
	15.024999999999999	14.1		24.35625	30.4
	15.618750000000002	18.7		25.662499999999998	34.8
	15.85	21.9		26.225	37.3
Aug.	16.25625	22.2		24.387500000000003	33.9
	15.268749999999999	16.8		23.9	25.6
	15.45625		-1.8	21.656250000000004		0.1
	14.881249999999998		-1.6	22.8		-0.5
	14.537499999999998		-0.9	23.3		0.9
	14.374999999999998		0.4	24.481250000000006		3.1
	14.7625		-1.7	25.025000000000002		2.9
	15.06875		-1.7	24.112500000000008		-0.9
	15.05		-0.8	24.28125		3.3
	14.91875		-0.2	23.981250000000003		3.3
	14.656249999999998		14.6	24.1125		23.5
	14.96875		14.8	24.01875		23.7
	14.50625		14.3	22.59375		23.6
	13.85		14.3	23.531249999999996		23.4
	14.093750000000002		13.8	23.39375		22.8
	14.499999999999998		13.9	22.718749999999996		22
	13.450000000000001		13.3	22.08125		22.1
	12.49375		12.5	20.337499999999995		21.2
	12.468750000000004		12.5	22.09375		22.3
	13.206249999999999		13.5	22.968749999999996		22.2
	13.924999999999999		13.8	23.081249999999997		22.5
	14.4875		14.1	23.075000000000003		23
	13.924999999999999		13.4	23.143749999999997		22.8
	13.58125		13.5	21.612499999999997		22.4
	13.14375		13.8	21.599999999999998		21.7
	13.625		13.6	21.4375		21.8
	13.64375		13.2	21.5625		21
	13.562500000000002		12.9	21.424999999999997		21.1
	12.687499999999998		12.5	21.2625		20.9
	12.837499999999999		12.8	19.88125		19.9
	11.981249999999998		12	19.868749999999995		19.9
Sep.	12.15625		12.2	20.231250000000003		20.4
	12.0375		12.3	20.7		20
	12.012499999999998			19.76875
	12.093750000000002			19.500000000000004
	11.231249999999998			19.581249999999997
	11.793750000000001			20.106250000000003
	10.7625			19.85
	10.587500000000002			19.68125
	10.737499999999999			19.025
	10.9375			18.59375
	10.81875			18.806249999999995
	10.94375			17.806250000000002
	10.70625			18.068749999999998
	10.725000000000001			18.0875
	10.5625			17.881249999999998
	9.5			17.19375
	9.88125			17.95625
	10.25625			17.48125
	10.024999999999999			17.5625
	10.65			17.337499999999995
	10.625000000000002			16.61875
	9.593749999999998			16.08125
	9.237499999999999			16.068749999999998
	9.643749999999999			15.850000000000001
	8.6875			16.112499999999997
	8.8875			16.55
	8.743750000000002			15.2875
	7.756249999999999			14.856250000000001
	9.181249999999999			15.54375
	8.53125			15.124999999999998
Oct.	8.21875			14.556249999999997
	8.06875			14.587499999999999
	8.793750000000001			15.337499999999997
	8.231250000000001			15.31875
	9.400000000000002			15.94375
	9.49375			14.59375
	8.625			14.787500000000001
	8.8125			14.231250000000001
	8.431250000000002			14.84375
	8.79375			14.575
	8.6125			13.48125
	8.85625			14.193749999999998
	8.162500000000001			13.68125
	7.449999999999999			13.331249999999999
	7.968750000000001			13.63125
	7.731250000000001			12.962499999999997
	7.6375			13.718750000000002
	8.06875			14.075
	8.08125			13.6125
	8			13.1375
	7.093750000000001			12.506250000000003
	6.587500000000001			12.006249999999998
	6.225			11.912500000000001
	6.70625			11.4125
	6.625000000000001			11.656250000000002
	6.4125000000000005			11.13125
	6.1375			10.987499999999997
	5.53125			10.68125
	6.0375			10.8875
	5.643750000000002			10.924999999999999
	5.224999999999999			10.206249999999999
Nov.	5.36875			10.200000000000001
	4.7250000000000005			9.531250000000002
	4.237500000000001			9.281249999999998
	5.0125			8.675
	4.35			8.7
	3.20625			8.337500000000002
	2.825			7.799999999999999
	2.9562499999999994			7.33125
	4.00625			8.612499999999999
	3.5312500000000004			8.00625
	3.0375			7.60625
	3.125			7.46875
	3.35625			7.14375
	2.7187499999999996			6.975
	2.10625			6.2375
	1.325			6.093749999999999
	0.9437500000000001			5.11875
	1.26875			5.4125000000000005
	1.90625			5.29375
	1.275			5.46875
	1.6999999999999997			5.112500000000001
	2.1499999999999995			5.75
	2.54375			6.3187500000000005
	2.6562500000000004			6.531249999999999
	2.3875			6.2437499999999995
	1.96875			5.7375
	2.04375			5.76875
	1.725			5.4937499999999995
	1.40625			5.33125
	1.31875			5.1125
Dec.	1.8562500000000002			6.20625
	2.68125			7.09375
	3.5374999999999996			7.275
	3.2874999999999996			6.89375
	4.01875			7.718749999999998
	3.4624999999999995			7.4937499999999995
	3.0624999999999996			6.85625
	3.98125			7.7124999999999995
	4.51875			7.8687499999999995
	4.55625			7.9437500000000005
	2.9187500000000006			7.1375
	3.0999999999999996			6.824999999999999
	2.375			6.675000000000001
	2.2937499999999997			6.00625
	2.1374999999999997			6.050000000000001
	2.2937499999999993			6.54375
	3.9133333333333336			7.746666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

27 Jun. 26

-5°C

Lowest Temp

6 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.02°C

Coldest MonthJanuary0.83°C

Wettest MonthMay3.17mm

Windiest MonthJuly19.22km/h

Gelsenkirchen 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 Gelsenkirchen historically?

August is historically Gelsenkirchen's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2019-07-25.

2. What is the coldest month in Gelsenkirchen historically?

January is Gelsenkirchen's coldest month, with average minimum temperatures around 1°C. The all-time record low of -15°C was recorded on 2021-02-10.

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

Gelsenkirchen's average annual rainfall is approximately 868.06mm, based on records spanning 17 years.

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

Gelsenkirchen historically records approximately 223.1 rainy days per year. January has the highest number of rain days at an average of 21.5 days.

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

The all-time highest temperature recorded in Gelsenkirchen is 40°C on 2019-07-25.

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

The all-time lowest temperature recorded in Gelsenkirchen is -15°C on 2021-02-10.

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

Gelsenkirchen experiences its strongest winds during December. The historic gust record of 54.1 kph was recorded on 2018-01-18.

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

Usually, Gelsenkirchen's humidity peaks in December at around 84.6% and drops to its lowest in August at approximately 66.2%.

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

Gelsenkirchen 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

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

Gelsenkirchen 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

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