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

Bottrop Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.54375	0.9		6.874999999999999	3.4
	2.3000000000000003	0		6.5062500000000005	2.2
	2.575	-0.9		6.41875	1
	2.35	-0.8		5.61875	1.2
	2.10625	-3.7		5.718749999999999	-0.8
	2.3000000000000003	-5.4		6.075	-0.8
	1.775	-3.6		5.5562499999999995	0.4
	1.9249999999999998	-1		5.6875	1.4
	2.14375	2.3		5.7375	5.3
	1.4375000000000002	-3.4		5.3374999999999995	1.6
	0.9999999999999998	-4.5		5.01875	-0.5
	1.84375	-0.2		5.35	6.5
	2.0250000000000004	5.9		5.706249999999999	8
	1.6249999999999998	5.9		4.9875	8.2
Jan.	1.2750000000000001	6.9		5.1875	9.4
	0.8374999999999999	6.8		4.3875	10.4
	0.25625	4		3.93125	7.3
	-0.44999999999999984	2.2		3.85	7.4
	-0.4	0.9		3.5125	6.8
	-1.04375	1		3.2562499999999996	7
	-0.8875	-0.3		3.881250000000001	6.4
	0.1750000000000001	2.2		4.26875	7.3
	0.32500000000000007	4.2		4.481249999999999	7.9
	0.4875000000000001	1.1		5.025	6.3
	0.11250000000000007	0.9		4.4	5.5
	0.6124999999999999	0		4.574999999999999	1.5
	1.11875	0.1		5.6499999999999995	6.8
	1.59375	0.7		6.0062500000000005	4.4
	1.8125	1		5.887500000000001	2.4
	1.15	-0.1		5.6937500000000005	5
	0.7000000000000001	3.1		5	7.5
	1.0250000000000001	3.7		5.0687500000000005	7.6
	1.1312499999999999	2.5		5.88125	5.2
	1.725	-0.5		5.9875	4.4
	1.5124999999999997	2.7		6.081250000000001	8.5
	1.6375	2		6.043749999999999	7
	1.2062499999999998	2.4		5.699999999999999	7.8
	-0.22499999999999992	5.4		5.3500000000000005	10.1
	-0.5062500000000002	3.4		5.1187499999999995	9.1
	-0.062499999999999625	2.2		4.868750000000001	7.9
	-0.2875000000000002	3.3		4.91875	9.8
	-0.018749999999999878	6.5		4.825	9.8
	-0.51875	6.7		4.675	8.7
	-0.425	1.8		5.675000000000001	7.6
	0.4187499999999999	-1		6.7375	1.7
Feb.	1.8062500000000001	-1.4		7.75	3.7
	2.5812500000000007	1.5		8.51875	5.7
	2.175	1.1		7.89375	4.5
	2.81875	-0.2		7.9750000000000005	2.4
	2.0125	0.9		7.00625	2.8
	1.9937500000000001	-0.5		8.1625	7.4
	3.09375	6.6		8.474999999999998	10.3
	3.075	9.7		8.862499999999999	11.5
	2.4125	8.4		8.606250000000001	10.6
	2.84375	7.4		8.58125	9.1
	2.6249999999999996	8.2		8.581249999999999	16.1
	2.15	8.5		7.918749999999999	16.6
	1.4937500000000004	10.4		7.6625	18
	1.2687500000000003	7.7		7.69375	12.8
	1.9124999999999999	4.8		7.94375	13.1
	1.2187500000000002	6.6		8.66875	14.8
	2.1875	7.1		8.95625	15.8
	2.0062499999999996	6.1		9.549999999999999	14.7
	1.9437499999999999	7.6		8.975000000000001	17.3
	1.84375	7.8		8.8125	18
	1.8312499999999998	8.8		9.256250000000001	17
	2.075	8.7		9.65625	18
	3	8.4		10.175	17.2
	2.4499999999999997	9.1		10.78125	17.1
	3.04375	7.2		9.768749999999999	11.8
	3.3249999999999997	5.7		10.493750000000002	12.3
	3.34375	5.2		10.293750000000001	10.6
	2.99375	3.1		9.793750000000001	4.9
Mar.	3.2375	1.5		10.5	9.8
	3.6187500000000004	6.2		11.150000000000002	9.4
	3.6374999999999997	6		10.243749999999999	13.5
	3.2312499999999997	4.8		11.068750000000001	14.3
	3.8375	5.4		11.21875	15.3
	3.6375000000000006	6.9		11.8875	13.2
	3.9437499999999996	6.2		11.81875	14.2
	4.0249999999999995	4.9		11.874999999999998	15.4
	4.08125	6.8		12.068750000000001	14.4
	3.99375	7.7		12.5375	15
	3.7312499999999997	4.2		11.737499999999999	12.1
	3.4125	1.9		10.825	7.4
	3.0999999999999996	0.2		12.462499999999999	9.2
	4.3812500000000005	3.6		13.381250000000001	8.8
	5.306250000000001	1.5		13.681249999999999	10.3
	5.275	4.3		13.756250000000001	8.6
	5.425	2.2		13.112499999999999	9.8
	4.53125	2.8		11.7	13.6
	3.76875	4.2		12.237500000000002	10.3
	4.63125	2.4		12.85	13
	4.7875000000000005	10.2		12.306250000000002	14.7
	4.1499999999999995	8.3		11.825	13.6
	4.4875	4.5		13.031249999999998	13.6
	5.86875	5.4		15.424999999999999	16
	5.4	6		13.987500000000002	19.2
	5.28125	9.3		15.343750000000002	21.5
	5.825	6.3		14.58125	12.5
	5.549999999999999	6.3		14.1375	19.9
	5.706250000000001	5.9		14.581249999999997	13.7
	6.50625	7.8		14.456249999999999	12.5
	5.35625	5.9		15.068750000000001	16.3
Apr.	5.625	7.7		14.849999999999998	18.1
	5.33125	11.8		14.399999999999997	17.9
	5.343749999999999	10.5		15.006250000000001	20.4
	5.4937499999999995	11.8		14.95	16.8
	5.5249999999999995	6		16.062500000000004	14.1
	6.368750000000001	4.9		16.75625	12.7
	6.23125	5.6		16.243750000000002	14.5
	6.4937499999999995	5		16.225	16.4
	6.79375	5.9		16.24375	17.9
	6.49375	4.3		16.5875	17.7
	6.918749999999998	4.8		15.53125	17.5
	5.91875	5.3		14.881250000000001	16.3
	5.706249999999999	6.8		14.387500000000003	17.7
	6.375	8.1		16.10625	18
	7.6187499999999995	6.4		16.73125	17.5
	7.4875	6.3		16.750000000000004	20.4
	7.75	8.6		16.700000000000003	23.5
	7.7875	12.1		16.231250000000003	24.5
	7.112499999999999	13.8		16.237499999999997	21.2
	6.981249999999998	11.2		15.00625	18.9
	6.600000000000001	10.8		16.01875	13
	7.01875	7.4		16.843749999999996	9
	8.24375	6.6		17.137500000000003	15.9
	8.6875	5.8		18.1625	18.1
	9.468749999999998	8.9		19.481250000000003	20.5
	10.024999999999999	10.2		18.79375	19.8
	10.00625	5		18.850000000000005	13
	9.731250000000001	3.7		17.8625	12.4
	8.518749999999999	6.9		17.337500000000002	13.7
	8.09375	5.6		17.6875	9
May	7.968749999999999	2.9		17.174999999999997	13.1
	7.94375	3.3		16.68125	14.5
	8.2375	5.2		16.58125	14
	8.20625	9.4		18.043750000000003	16.3
	9.1625	7.5		19.162499999999998	17.1
	9.825	11.9		19.375000000000004	18.1
	10.337499999999999	10.1		20.1	20.3
	10.7375	11.9		20.54375	26.2
	10.837499999999999	15.3		19.687499999999996	29.2
	10.06875	15.4		18.737499999999997	26.3
	9.93125	13.8		18.4	27.8
	10.5	15.6		18.6625	31.7
	10.54375	15.3		19.787499999999998	23.9
	10.537499999999998	10.5		19.950000000000003	24.3
	10.275	14.1		19.775000000000006	31.5
	10.762500000000001	16.2		20.074999999999996	25.4
	11.1875	15.4		20.931250000000002	21
	11.062499999999998	12.4		20.36875	22.7
	11.356249999999998	13.9		21.356249999999996	22.6
	11.987499999999999	11.5		22.175	19.4
	12.05625	13		22.05	17.1
	12.2875	11.1		21.631249999999998	17.8
	11.862499999999999	11		21.337500000000002	22.8
	11.850000000000001	12.7		21.1125	19.9
	12.5625	12.7		21.34375	22.8
	12.3125	10.9		21.55625	17.7
	12.4125	8.9		21.999999999999996	17.9
	12.29375	8.2		21.925	18.1
	12.15625	11.2		21.38125	18.9
	12.262500000000001	13.6		21.599999999999998	18.4
	12.075000000000001	11.7		22.175	17.9
Jun.	12.75625	9.2		21.568750000000005	16.2
	12.443750000000001	13.6		21.38125	24.9
	12.812499999999998	14.2		23.137500000000006	24.5
	14.043749999999998	17.3		23.80625	30.7
	14.031250000000002	19.7		22.199999999999996	35.1
	13.64375	19.6		22.10625	31.8
	12.68125	20.3		21.8125	32.5
	13.568750000000001	16.9		22.887500000000003	29.6
	12.768749999999999	17.4		21.793750000000003	30.6
	13.368749999999999	20.9		22.6	36.1
	14.3125	23.5		23.499999999999996	35.1
	14.1125	23.2		23.25625	39.1
	13.562499999999998	23.8		23.99375	39.1
	14.812499999999998	21.5		24.075	33.6
	15.087499999999997	19.3		24.231249999999996	28.2
	14.349999999999998	17.3		23.599999999999994	26.1
	14.481250000000001	15		22.71875	26.1
	14.10625	15.1		23.71875	25.8
	13.393749999999999	11.6		22.7875	24.6
	13.937499999999996	13.5		23.700000000000003	25.9
	14.5125	16.1		23.38125	21.4
	14.087499999999999	15.1		22.887499999999996	28.3
	13.887500000000001	18.4		23.25625	28.7
	13.29375	15.6		22.66875	23
	14.2875	14.7		23.00625	27.4
	14.04375	16.1		23.68125	28.7
	14.937500000000002	17		24.400000000000002	30.4
	14.681250000000002	18.2		23.112499999999997	30.8
	14.099999999999998	16		21.856249999999996	31.4
	13.937499999999998	19.2		22.393749999999997	30.2
Jul.	13.893749999999999	18.1		21.962500000000002	28.9
	14.031249999999998	17.5		23.33125	28.5
	14.693750000000001	17.2		23.58125	29.8
	14.649999999999997	15.3		25.099999999999998	24.5
	15.768749999999999	14.1		26.737499999999997	22.9
	16.1375	12.9		25.7375	22.6
	15.7875	11.2		24.793749999999996	25.5
	15.581249999999997	12.1		24.2625	21.7
	14.799999999999999	14.6		24.774999999999995	23.9
	15.618749999999999	11.9		25.0125	25.2
	15.325	16.7		24.768749999999997	29.5
	15.825	17.1		24.618750000000006	23
	16.25	15.1		24.05625	22.9
	15.75625	15		23.862499999999997	29.2
	15.356250000000001	20.8		22.89375	34.3
	14.550000000000002	21		23.26875	34.7
	14.9	19.9		22.987499999999997	30.8
	15.43125	15.1		24.425	25.8
	16.025000000000002	16.9		25.668750000000003	29.8
	16.331249999999997	19.7		24.306250000000006	35.1
	15.73125	22.3		24.206249999999997	33.7
	15	20.2		23.05625	28.8
	14.737500000000002	16.3		24.4	26
	15.225	13.1		25.050000000000004	22.8
	15.36875	14.3		23.431250000000002	28.1
	14.93125	19		23.912499999999998	32.6
	14.79375	18.6		23.568749999999998	29.2
	14.487499999999999	13.3		24.175000000000004	25.8
	15.287499999999998	14.3		24.3625	30.5
	15.86875	18.7		25.650000000000002	34.9
	15.7875	22.1		26.231250000000003	37.5
Aug.	16.368750000000002	21.8		24.3125	33.9
	15.412499999999998		16.2	23.906250000000007		26.1
	15.487499999999999		16.3	21.562500000000004		23
	14.987499999999999		16.7	22.806250000000002		21.1
	14.7125		15.1	23.3125		25.9
	14.312499999999998		13	24.537500000000005		23.1
	15.075000000000001		13.9	24.956249999999997		25.3
	15.18125		12.2	24.11875		23.7
	15.106250000000001		13	24.3		24.1
	14.9625		15.1	23.874999999999996		24.7
	14.74375		14.6	24.20625		23.5
	14.924999999999999		14.8	23.925		23.7
	14.5875		14.3	22.493750000000002		23.6
	13.86875		14.3	23.487499999999997		23.4
	14.318750000000003		13.8	23.312499999999996		22.8
	14.6625		13.9	22.85		22
	13.612499999999999		13.3	22.06875		22.1
	12.7125		12.5	20.318749999999998		21.2
	12.8		12.5	22.068749999999998		22.3
	13.40625		13.5	22.906249999999996		22.2
	13.999999999999998		13.8	22.94375		22.5
	14.7125		14.1	23.075000000000003		23
	13.968749999999998		13.4	23.125		22.8
	13.612499999999999		13.5	21.725		22.4
	13.275		13.8	21.662499999999998		21.7
	13.831249999999999		13.6	21.443750000000005		21.8
	13.78125		13.2	21.5875		21
	13.7125		12.9	21.468749999999996		21.1
	12.843750000000002		12.5	21.15625		20.9
	12.91875		12.8	19.88125		19.9
	12.062500000000002		12	19.849999999999998		19.9
Sep.	12.231250000000003		12.2	20.281250000000004		20.4
	12.174999999999997			20.65625
	12.156250000000002			19.762500000000003
	12.2			19.6
	11.33125			19.59375
	11.79375			20.150000000000006
	10.793750000000001			19.900000000000006
	10.7			19.7125
	10.7875			19.112499999999997
	11.1625			18.643750000000004
	10.9625			18.893749999999997
	11.081250000000002			17.875
	10.968750000000004			18.14375
	10.831249999999999			18.04375
	10.637500000000001			17.95625
	9.637500000000001			17.200000000000003
	10.049999999999999			17.950000000000003
	10.2125			17.537499999999998
	10.0875			17.54375
	10.662499999999998			17.362499999999997
	10.63125			16.65625
	9.7875			16.075
	9.462499999999999			16.09375
	9.693750000000001			15.831249999999999
	8.80625			16.28125
	9.112499999999999			16.6375
	9.04375			15.29375
	8.168750000000001			14.793750000000003
	9.38125			15.599999999999998
	8.5625			15.125
Oct.	8.306249999999999			14.575000000000001
	8.11875			14.662500000000001
	9.025			15.225
	8.54375			15.375000000000002
	9.425			15.981249999999998
	9.625			14.693750000000001
	8.83125			14.7125
	8.8375			14.225
	8.637500000000001			14.85625
	8.8375			14.64375
	8.825000000000001			13.593750000000002
	8.981250000000001			14.268749999999999
	8.393749999999999			13.706250000000002
	7.5562499999999995			13.35
	8.00625			13.6875
	7.89375			12.9375
	7.8062499999999995			13.81875
	8.18125			13.987500000000002
	8.03125			13.53125
	8.118750000000002			13.156250000000002
	7.24375			12.537500000000003
	6.7625			11.987499999999999
	6.512499999999998			11.9125
	6.812499999999999			11.4375
	6.7749999999999995			11.631250000000001
	6.5874999999999995			11.16875
	6.356249999999999			10.9625
	5.7375			10.6625
	6.175000000000001			10.925000000000002
	5.90625			11.025
	5.425			10.224999999999998
Nov.	5.6000000000000005			10.250000000000002
	4.89375			9.568750000000001
	4.5562499999999995			9.393749999999999
	5			8.762500000000001
	4.6125			8.818750000000001
	3.4875000000000003			8.399999999999999
	2.9250000000000003			7.812500000000002
	3.0812500000000003			7.325
	3.9749999999999996			8.65625
	3.63125			8.025000000000002
	3.1562499999999996			7.624999999999999
	3.3125			7.456249999999999
	3.5437500000000006			7.193749999999999
	2.90625			7.068749999999999
	2.31875			6.424999999999999
	1.6500000000000004			6.2
	1.2			5.243750000000001
	1.3625			5.425
	1.9187499999999997			5.331249999999999
	1.4437499999999996			5.4437500000000005
	1.7562499999999999			5.30625
	2.24375			5.875
	2.7500000000000004			6.4312499999999995
	2.7			6.60625
	2.4875			6.268750000000001
	2.3000000000000003			5.8500000000000005
	2.175			5.89375
	1.75			5.5875
	1.56875			5.45
	1.5375			5.124999999999999
Dec.	2.1			6.143749999999999
	2.7875			7.00625
	3.7125000000000004			7.356249999999999
	3.4687500000000004			6.95625
	4.13125			7.731249999999998
	3.5874999999999995			7.5625
	3.175			6.90625
	4.1			7.799999999999999
	4.6625000000000005			7.91875
	4.7375			8.03125
	3.0562500000000004			7.25625
	3.1125000000000003			6.918750000000001
	2.55			6.7250000000000005
	2.4250000000000003			6.0874999999999995
	2.425			6.14375
	2.4125			6.6875
	4.033333333333333			7.86

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

26 Jun. 26

-5°C

Lowest Temp

6 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.3°C

Coldest MonthJanuary0.85°C

Wettest MonthMay3.09mm

Windiest MonthJuly19.62km/h

Bottrop 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 Bottrop historically?

August is historically Bottrop'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 Bottrop historically?

January is Bottrop's coldest month, with average minimum temperatures around 1°C. The all-time record low of -13°C was recorded on 2021-02-10.

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

Bottrop's average annual rainfall is approximately 846.5mm, based on records spanning 17 years.

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

Bottrop historically records approximately 220.1 rainy days per year. December has the highest number of rain days at an average of 21.1 days.

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

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

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

The all-time lowest temperature recorded in Bottrop is -13°C on 2021-02-10.

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

Bottrop experiences its strongest winds during December. The historic gust record of 52.1 kph was recorded on 2015-07-25.

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

Usually, Bottrop's humidity peaks in December at around 84.8% and drops to its lowest in August at approximately 66.7%.

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

Bottrop 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

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

Bottrop 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

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