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

Nettetal Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.5312499999999996	0.3		6.8625	3.6
	2.6687499999999997	-0.1		6.68125	2.7
	2.75625	-0.9		6.54375	1.1
	2.3812500000000005	-1.2		5.6875	1.7
	2.11875	-5.1		5.95	-0.8
	2.38125	-6.7		6.06875	-0.1
	1.8687499999999997	-3.1		5.749999999999999	0.6
	2.1750000000000003	0.1		5.9375	1.7
	1.9375	2.5		5.706250000000001	6.4
	1.2187500000000004	-3.7		5.26875	2
	0.8875	-6.4		5.11875	-0.9
	1.775	-0.1		5.64375	7.1
	1.9812500000000002	5.3		5.637499999999999	9.5
	1.5999999999999999	6.3		5.03125	8.7
Jan.	1.3375	7.3		5.031250000000001	10.2
	0.8687500000000001	6.3		4.45625	10.8
	0.09374999999999997	3.6		3.95	8.1
	-0.50625	1.4		3.85625	7.1
	-0.425	0.5		3.5562499999999995	7.7
	-0.9	0.2		3.2812499999999996	7.2
	-0.88125	-1		3.7375000000000003	5.5
	0.25000000000000006	1.7		4.2250000000000005	7.2
	0.3687500000000001	4.2		4.45	8.2
	0.76875	0.6		4.85	6.3
	0.23125	-0.2		4.66875	5
	0.7437500000000001	-0.3		4.95625	1.4
	1.2625	-0.7		6.074999999999999	5.6
	1.625	1.5		6.06875	4.6
	1.85625	0.9		6.15	2.3
	1.38125	-0.2		5.95625	5.3
	0.81875	2.9		5.049999999999999	7.7
	1.2750000000000001	3.5		5.31875	6.9
	1.39375	2.8		6.137499999999999	5.3
	1.875	0		6.262499999999999	4.8
	1.7125000000000001	2.9		6.4625	7.3
	1.71875	2		6.343750000000001	5.4
	1.375	2.7		5.825000000000001	7.7
	0.18125	5.4		5.387499999999999	11.3
	-0.23124999999999996	3.4		5.40625	9.8
	0.024999999999999578	2.3		5.05625	7.8
	-0.06249999999999989	2.6		4.95625	7.4
	0.2749999999999999	6.4		5.03125	10.4
	-0.6687499999999998	6.2		5.05	8.9
	-0.6125000000000002	1.8		5.750000000000001	6.5
	0.55625	-2		6.837500000000001	2.3
Feb.	2.05	-2		8.1125	4.6
	2.5624999999999996	1.9		8.94375	6.4
	2.2625000000000006	1.6		8.35625	5.5
	2.6	-0.2		8.25	3.6
	2.00625	1.8		7.2124999999999995	4.3
	2.45	0.4		8.4375	8.4
	3.1875	7.2		8.612499999999999	11.4
	3.2312499999999997	9.7		9.15625	11.8
	2.7437499999999995	8.3		9.0375	11.4
	2.95	8.3		8.799999999999999	10.2
	2.6125000000000003	7.6		8.5625	15.9
	2.1125	9		8.0875	17
	1.4562500000000003	10		7.824999999999999	17
	1.3937500000000003	7.2		7.762499999999999	12.4
	1.86875	3.5		8.15625	13
	1.5499999999999998	5.4		8.525000000000002	15.5
	2.2249999999999996	6.6		9.118749999999999	16
	2.01875	5.3		9.50625	14.9
	1.85	6.6		8.987499999999999	16.4
	1.9	7.4		8.98125	17
	1.8375000000000001	8.5		9.35	16.6
	2.075	7.7		9.59375	17.3
	3.00625	8.1		10.34375	17.6
	2.40625	8.6		10.825	15.4
	3.0375	6		9.875000000000002	10.6
	3.3687500000000004	4.5		10.599999999999998	12.3
	3.29375	5.1		10.58125	10.2
	2.8874999999999997	3.2		10.01875	5.5
Mar.	3.3875000000000006	1.1		10.637500000000001	9.8
	3.53125	6.3		11.531250000000002	9.8
	3.4250000000000003	6.8		10.381250000000001	14.4
	3.1312499999999996	5.2		11.16875	14.5
	4.043749999999999	4.9		11.350000000000001	15.3
	3.8187500000000005	5.6		11.693750000000001	13
	3.843750000000001	4.4		12.031249999999998	14.3
	4.143750000000001	3.6		11.88125	14.8
	3.9125	5.5		12.381250000000001	13.5
	3.7625	6.6		12.468749999999998	14.6
	3.8875	3.9		11.799999999999999	11.7
	3.31875	0.7		10.956249999999999	6.7
	3.1937499999999996	-0.4		12.4	9.1
	4.10625	2.7		13.212499999999999	9.3
	5.2250000000000005	0.8		13.550000000000002	10.5
	4.975	4.3		13.63125	8.5
	5.25	1.7		13.099999999999998	9.8
	4.4625	1.9		11.687499999999998	12.2
	3.8499999999999996	3.5		12.468749999999996	11.1
	4.56875	1.6		12.649999999999999	12.8
	4.8062499999999995	10.1		12.637499999999998	14.3
	4.325	7.7		11.850000000000001	13
	4.58125	3.5		13.0625	13.5
	5.74375	4.6		15.193749999999998	16.2
	5.362499999999999	5.4		14.19375	20
	5.2625	8.7		15.268749999999999	21.6
	5.7875	6.3		14.5875	12.5
	5.5375000000000005	5.9		13.887499999999998	20
	5.56875	3.8		14.44375	13.6
	6.4312499999999995	7.3		14.393749999999999	13
	5.187499999999999	4.8		15.100000000000001	15.7
Apr.	5.6625000000000005	6.7		14.775000000000002	18.2
	5.6000000000000005	11.2		14.112500000000002	17.1
	5.48125	9.5		14.96875	19.2
	5.2875000000000005	11.1		15.024999999999999	15.6
	5.56875	5.2		15.768749999999999	15.1
	6.399999999999999	3.7		16.756249999999998	12.2
	5.943749999999999	4.8		16.268749999999997	14.3
	6.55	4		16.38125	16.5
	6.706250000000001	4.6		16.125	17.3
	6.312500000000002	3		16.406249999999996	17.6
	6.875	3.4		15.40625	17.2
	5.749999999999999	4		14.4625	15.7
	5.54375	5.8		14.24375	17.1
	6.493750000000001	7		15.993750000000002	18.5
	7.124999999999999	5.9		16.318749999999998	17.9
	7.1625	6		16.193749999999998	19.7
	7.462500000000001	8		16.706249999999997	22.1
	7.58125	9.9		15.893750000000002	23.6
	7.093750000000001	12.3		15.78125	18.9
	6.76875	10.5		15.181249999999999	18.8
	6.687499999999999	9.9		15.937500000000002	12.4
	6.999999999999999	7.8		16.89375	9.1
	8.493749999999999	6.2		17.14375	15.9
	9.024999999999999	5.8		18.125	17.5
	9.25625	8.6		19.143749999999997	19.3
	9.5875	9.1		18.556249999999995	18.4
	9.54375	4.9		18.5	13.4
	9.3625	3.4		17.65625	12.9
	8.4625	6.2		17.224999999999998	12.7
	7.768749999999999	5		17.3875	9.7
May	7.900000000000002	2.3		17.03125	11.6
	7.9625	2.4		16.443749999999998	14.2
	8.000000000000002	4.5		16.30625	15
	8.287500000000001	8.9		17.85625	16
	8.71875	6.5		18.8	16.4
	9.38125	12.3		19.137500000000003	17.9
	10.05625	9.7		19.637499999999996	21.6
	10.76875	11.3		20.337500000000002	25
	10.799999999999999	14.7		19.58125	28.5
	9.90625	14.4		18.44375	25.1
	9.962500000000002	13.4		18.4625	26.4
	10.4875	14.9		18.581249999999997	29.3
	10.56875	14.3		19.675	22.6
	10.56875	9.9		19.85	23.6
	10.29375	14.3		19.431250000000002	30.9
	10.712499999999999	15.7		19.981250000000006	25.5
	11.299999999999999	14.8		20.5625	22.6
	10.962500000000002	12.4		20.275000000000002	22.5
	11.231249999999998	13.6		21.175	22.3
	11.931249999999999	11.4		21.762500000000003	18.9
	11.668750000000001	12.4		21.843749999999996	17.9
	12.1625	11.3		21.525	18.4
	11.5625	10.3		21.193750000000005	22
	11.612499999999999	12.6		21.1375	20.3
	12.11875	12.1		20.906249999999996	21.7
	11.906249999999996	10		21.124999999999993	17.7
	11.93125	8		21.5875	17.6
	12.000000000000002	7.8		21.74375	18.5
	11.98125	11.4		21.23125	19.3
	11.981249999999998	12.7		21.5125	18.9
	11.924999999999999	10.5		21.8625	18.4
Jun.	12.6	8.9		21.5125	17.3
	12.256249999999998	12.9		21.056250000000002	25
	12.75625	13.3		22.993750000000002	24.2
	13.774999999999999	16.8		23.531250000000004	30.9
	13.86875	19.8		21.993750000000002	34.5
	13.162499999999998	19.3		21.468750000000004	30.7
	12.293750000000003	18.7		21.45625	30.5
	13.11875	15.6		22.16875	28.9
	12.4125	16.3		21.5875	29.3
	13.0875	20		22.38125	34.3
	14.0375	22.4		23.2875	33.8
	14.025	23.1		23.193750000000005	38.5
	13.49375	21.3		23.75625	36.5
	14.743750000000002	19.7		23.925000000000004	32
	15.050000000000002	16.7		24.087500000000002	26.7
	13.7625	13.9		23.1125	25.3
	14.281249999999998	13.1		22.768750000000004	25.7
	13.85625	13.4		23.462500000000002	24.1
	13.31875	10.2		22.5375	24.2
	13.400000000000004	11.3		23.393750000000004	26.7
	14.074999999999998	15.8		23.024999999999995	22.8
	13.549999999999999	14.6		22.756249999999998	28.8
	13.76875	17.2		23.06875	28.6
	12.9625	15.3		22.74375	24.1
	13.8125	13.4		22.84375	28.1
	13.93125	15.2		23.568749999999998	29.1
	14.425	15.1		23.875000000000004	31.4
	14.362499999999999	16.5		22.68125	31.4
	13.66875	12.9		21.437500000000004	32
	13.612500000000002	20.5		22.018749999999997	31.4
Jul.	13.6875	16.6		21.925	30
	13.806249999999997	15.4		23.1375	29.4
	14.349999999999998	14.3		23.35625	30.1
	14.43125	12.7		25.006250000000005	25.7
	15.46875	12.3		26.381250000000005	23
	15.587499999999997	10		25.125000000000007	21.6
	15.343749999999998	9		24.218750000000004	26.2
	15.187500000000002	10.4		24.068750000000005	21.8
	14.39375	13.5		24.656249999999996	25.1
	15.506249999999998	10.3		24.743750000000002	25.6
	14.825000000000001	14.8		24.2625	30.5
	15.337499999999997	14.6		24.3125	22.6
	15.687499999999998	13.3		23.64375	24
	15.25	13.8		23.275000000000002	30.7
	15.087500000000002	19		22.900000000000002	36.2
	14.012500000000001	18.7		22.725	33.4
	14.5	17.9		22.731250000000003	31
	14.85	13		24.293750000000003	26.5
	15.5625	14.9		24.981250000000003	31
	15.78125	19.2		24.118749999999995	36.8
	15.312500000000002	20.3		23.83125	34.2
	14.31875	17.3		22.893750000000004	30
	14.275000000000002	12.1		23.893749999999997	26
	14.44375	10		24.45	24.1
	14.737500000000002	11.2		22.98125	28.1
	14.462499999999997	16.5		23.125	33.2
	14.3625	15.6		23.2375	29.6
	14.068750000000001	10		24.068749999999998	26.9
	14.862500000000002	12.4		24.187499999999996	32
	15.393749999999997	17.1		25.325	36.1
	15.443750000000003	20.2		25.793750000000003	38.8
Aug.	15.687500000000002	19.2		23.512499999999996	33.7
	14.887500000000003	13.5		23.818749999999994	27.2
	14.712499999999999		-0.8	21.2875		22.2
	14.518749999999999		13.7	22.918749999999996		19.4
	14.206249999999997		16.1	23.10625		20.1
	13.73125		13.5	24.36875		23.4
	14.625000000000002		12.5	24.999999999999996		24.3
	14.918749999999998		12.6	23.66875		20.1
	14.51875		11.6	24.106250000000003		22.9
	14.368749999999999		13.3	23.387500000000003		19.5
	14.225		12.7	23.987499999999997		16.8
	14.425		14.2	23.65625		23.3
	14.000000000000002		14.1	22.512499999999992		23.3
	13.475		13.8	23.312499999999996		23
	13.731250000000001		13.4	22.756249999999994		22.3
	13.824999999999996		13.2	22.331249999999997		21.7
	12.987499999999999		13	21.950000000000003		21.9
	12.299999999999999		12.2	20.356250000000003		21.1
	12.506249999999998		12.9	22.049999999999997		22.3
	13.518750000000002		13.6	22.74375		22.2
	13.725000000000003		13.8	23.012499999999996		22.2
	14.225		13.7	22.849999999999998		22.9
	13.306249999999999		13	22.55		22.3
	13.08125		12.9	21.418749999999996		22.1
	13.0375		13.6	21.7625		22.2
	13.349999999999998		13.3	21.418750000000003		21.4
	13.3		13.1	21.393749999999997		21
	13.256250000000001		12.8	21.21875		20.7
	12.568750000000001		12.2	20.78125		20.4
	12.118749999999997		12.2	19.537499999999998		19.8
	11.906249999999998		11.9	19.51875		19.6
Sep.	11.78125		11.7	20.300000000000004		20.4
	11.543750000000001		12	20.443749999999998		19.8
	11.825000000000001			19.706249999999997
	11.737499999999999			19.318749999999998
	10.956249999999999			19.650000000000002
	11.76875			20.05
	10.587500000000002			19.506249999999998
	10.375			19.35625
	10.243750000000002			18.775000000000002
	10.59375			18.45
	10.625			18.74375
	10.83125			17.84375
	10.243749999999999			18.168750000000003
	10.35625			18.006249999999998
	10.274999999999999			17.925
	9.39375			17.1625
	9.762499999999998			17.781249999999996
	9.793750000000001			17.525
	9.56875			17.40625
	10.36875			17.525
	10.012500000000001			16.881249999999998
	9.51875			16.0125
	9.26875			16.1375
	9.5125			15.7375
	8.768749999999999			16.2625
	9.093750000000002			16.55625
	8.612500000000002			15.131249999999998
	7.48125			14.825
	9.175			15.462500000000002
	8.118749999999999			14.912499999999998
Oct.	7.887499999999999			14.275
	7.862500000000001			14.543749999999998
	8.70625			15.3
	8.35625			15.424999999999997
	9.406250000000002			16.13125
	9.66875			14.712499999999999
	8.674999999999999			14.587499999999999
	8.63125			14.168750000000001
	8.456249999999999			14.656249999999998
	8.6			14.45
	8.58125			13.593750000000002
	8.649999999999999			14.293750000000001
	8.037500000000001			13.762500000000001
	7.2625			13.425000000000002
	7.8500000000000005			13.593749999999998
	7.674999999999998			13.05625
	7.737500000000001			13.6875
	7.96875			14.04375
	7.775			13.19375
	7.73125			12.73125
	7.0249999999999995			12.612499999999999
	6.662499999999999			11.9875
	6.45			11.75
	6.66875			11.0375
	6.36875			11.35
	6.2125			11.118749999999999
	6.043749999999999			10.825
	5.40625			10.931249999999999
	5.837499999999999			10.825
	5.9			10.749999999999998
	5.50625			10.06875
Nov.	5.6125			10.03125
	4.6937500000000005			9.3125
	4.5375000000000005			9.2875
	4.95625			8.86875
	4.706250000000001			8.987499999999999
	3.41875			8.29375
	3.0000000000000004			7.525
	3.0500000000000003			7.250000000000001
	4.043750000000001			8.61875
	3.6375000000000006			8.200000000000001
	3.2812499999999996			7.5875
	3.2125000000000004			7.45625
	3.69375			7.18125
	3.2437499999999995			7.093750000000001
	2.3874999999999997			6.6625000000000005
	1.475			6.00625
	1.2937500000000002			5.062500000000001
	1.525			5.531249999999999
	1.5375000000000003			5.2875000000000005
	1.375			5.40625
	1.80625			5.112499999999999
	2.1812500000000004			6.1312500000000005
	2.6312499999999996			6.4125000000000005
	2.7875			6.699999999999999
	2.38125			6.06875
	2.325			5.781249999999999
	2.35			6.075000000000001
	1.8437499999999996			5.53125
	1.6500000000000004			5.5874999999999995
	1.5374999999999999			5.018750000000002
Dec.	2.15625			6.3812500000000005
	2.9375			7.0874999999999995
	3.9687500000000004			7.4125
	3.4375000000000004			7.0375
	4.16875			7.856249999999999
	3.3875			7.575
	3.3			6.925000000000001
	4.4			7.95625
	4.8187500000000005			8.018749999999999
	4.906249999999999			8.19375
	3.1500000000000004			7.40625
	3.19375			6.824999999999999
	2.5562499999999995			6.7375
	2.1937499999999996			6.093750000000001
	2.3437499999999996			6.1312500000000005
	2.2937499999999997			6.8
	3.96			8.006666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

14 Aug. 26

-7°C

Lowest Temp

6 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.89°C

Coldest MonthJanuary0.51°C

Wettest MonthMay2.7mm

Windiest MonthJuly24.34km/h

Nettetal 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 Nettetal historically?

August is historically Nettetal's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2019-07-25.

2. What is the coldest month in Nettetal historically?

January is Nettetal's coldest month, with average minimum temperatures around 1°C. The all-time record low of -12°C was recorded on 2010-12-20.

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

Nettetal's average annual rainfall is approximately 796.5mm, based on records spanning 17 years.

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

Nettetal historically records approximately 220.1 rainy days per year. December has the highest number of rain days at an average of 20.8 days.

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

The all-time highest temperature recorded in Nettetal is 39°C on 2019-07-25.

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

The all-time lowest temperature recorded in Nettetal is -12°C on 2010-12-20.

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

Nettetal experiences its strongest winds during December. The historic gust record of 54.6 kph was recorded on 2020-02-09.

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

Usually, Nettetal's humidity peaks in December at around 86.4% and drops to its lowest in August at approximately 70.8%.

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

Nettetal 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

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

Nettetal 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

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