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

Michelstadt Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.36875	-2.2		5.5	0
	0.14374999999999993	-3		4.3374999999999995	0.1
	0.5625	-4.4		4.30625	-1.6
	-0.062499999999999944	-4.9		3.95625	-1.8
	-0.8874999999999995	-8.3		3.9250000000000003	-2.3
	-0.30000000000000016	-9.2		3.9499999999999997	-1.5
	-0.36250000000000004	-10.1		3.7062500000000003	-2.4
	0.5	-4.2		4.2124999999999995	0.6
	0.26875	1.3		4.4375	4.5
	-0.3937500000000001	-4.4		3.4625000000000004	2.2
	-1.5687499999999999	-9.3		3.2249999999999996	-1.6
	-0.825	-5.6		3.5000000000000004	4.3
	-0.78125	0.9		4.0062500000000005	6.1
	-0.6875	2.5		3.8874999999999997	6.6
Jan.	-1.6250000000000002	3.9		3.30625	8.3
	-1.9874999999999996	1.1		2.8625	7.9
	-2.53125	1.2		3.03125	5.2
	-2.7562500000000005	-0.4		2.4875	3.7
	-3.48125	-0.9		1.40625	4
	-3.41875	-2.4		1.29375	2.8
	-3.4124999999999996	-3.5		1.9937500000000001	2.2
	-2.8500000000000005	-1.8		2.4062500000000004	2.9
	-1.9125	-0.7		2.45	3.2
	-1.8499999999999996	-2.6		2.78125	2.2
	-1.86875	-2.5		2.825	1.5
	-1.9999999999999996	-1.7		2.6937499999999996	0.2
	-1.40625	-1		3.3937500000000003	3.5
	-1.3124999999999998	-0.2		4.1312500000000005	0.8
	-0.8125	-0.3		3.6875000000000004	1.2
	-1.2999999999999998	-0.5		4.34375	2.5
	-1.4437499999999999	0.5		3.6500000000000004	2.7
	-0.9875000000000002	-1		3.81875	2.6
	-0.8374999999999997	-1.7		4.2375	4.3
	-0.025000000000000133	-2.2		4.312499999999999	1.3
	-0.9625	-1.4		4.05625	3.4
	-1.525	0.9		3.625	5
	-1.05	-0.6		4.05625	5
	-2.1000000000000005	3.9		3.6062499999999997	7.5
	-2.325	2.3		3.91875	5.6
	-2.4249999999999994	0		3.60625	3.8
	-2.6375000000000006	1		3.1187499999999995	6.6
	-2.35625	5		2.85625	8.9
	-2.5937500000000004	4.8		3.06875	7.3
	-3.0625	3.8		3.64375	6
	-2.0375000000000005	-2.3		4.575	3.3
Feb.	-1.0062499999999999	-3.6		5.512499999999999	2
	-0.1562499999999999	0		6.9375	4.2
	0.42500000000000004	-0.8		6.381250000000001	3.7
	0.5937499999999999	-1.8		6.60625	2.4
	0.4249999999999999	0.7		5.700000000000001	1.4
	0.03750000000000006	-3.7		6.749999999999998	2.9
	0.85	3.8		7.068750000000001	7.7
	0.5187499999999998	7.5		7.23125	9.1
	1.0562500000000001	7.5		6.956249999999999	9.6
	0.58125	6.2		7.3812500000000005	7.2
	0.5937499999999999	5.8		7.4750000000000005	12
	-0.475	7.2		6.374999999999999	14.5
	-0.58125	8.6		6.156250000000001	16
	-0.475	7		6.575	12.2
	-0.29375000000000007	4.3		6.95	10.5
	-0.16875000000000007	4.1		7.2375	12.1
	0.28125	4.8		8.431249999999999	13.1
	0.05	5		8.14375	12.7
	0.11874999999999991	4.4		7.30625	13.7
	-0.4375	4.3		7.162500000000001	13.4
	-0.2937499999999998	5.5		7.625	14.2
	-0.5125000000000002	5.4		8.7375	13.9
	0.9874999999999998	5.9		9.525	14.3
	0.8625	7.8		9.2625	14.7
	1.2625000000000002	7.8		9.025	11.8
	1.2	5.9		8.8375	11
	1.45625	4.2		8.725	12.3
	1.5374999999999996	2.2		8.29375	8.8
Mar.	1.0812499999999998	1.9		8.5625	5.2
	1.53125	2		10.274999999999999	7.6
	1.475	2.3		9.775	5.2
	1.98125	0.6		10.218750000000002	11.5
	2.1125000000000003	3.4		10.318749999999998	12
	1.78125	3.6		11.306249999999999	12.4
	2.4875	4.3		11.356250000000001	10.4
	2.05625	2.4		10.3875	12.2
	2.36875	3.2		11.081249999999999	12.7
	2.30625	5.2		11.518749999999999	13.7
	1.8124999999999998	2.8		11.524999999999997	9.1
	1.9312500000000001	-0.2		10.275	5
	1.49375	-2		11.481250000000001	6.7
	2.44375	-0.1		12.825	6.3
	3.850000000000001	-1.3		12.9	6.3
	3.725000000000001	0.9		12.85625	6.4
	4.218749999999999	0.3		12.2	6.3
	3.3312500000000007	0.7		11.443749999999998	8.3
	1.9125	0.7		11.29375	11.2
	2.98125	5		12.312499999999998	11.8
	2.9937500000000004	7.3		11.812500000000002	12.7
	2.925	7.9		11.224999999999998	16.1
	2.6999999999999997	3.7		12.28125	13.4
	3.4875	4		13.943750000000001	16
	4.00625	3.1		13.462499999999999	15.4
	3.94375	4.5		14.6875	15.4
	4.3500000000000005	6.5		13.9625	11.2
	4.4312499999999995	4.6		14.693749999999998	17.4
	4.3812500000000005	5.7		13.70625	11
	5.0062500000000005	6.7		13.106250000000001	8.7
	4.1625000000000005	6.3		14.200000000000001	11.9
Apr.	3.8937500000000003	7.1		14.25625	15.2
	4.55	9.7		14.293749999999998	17.2
	4.2749999999999995	8.9		13.412500000000001	18.8
	4.14375	12.7		13.49375	19.4
	4.3187500000000005	6.7		14.962499999999997	13.2
	4.7250000000000005	4.1		14.975	12.3
	4.94375	1.5		15.793750000000001	11.2
	5.2625	2.3		15.956249999999999	14.2
	5.374999999999999	3.2		15.768749999999999	17.3
	4.95625	3.9		15.825000000000001	17.5
	5.649999999999999	5.2		15.09375	18.4
	5.2124999999999995	4.9		13.937500000000002	16.6
	4.5	4.3		14.031250000000002	17.2
	4.8687499999999995	7.2		15.650000000000002	18.6
	6.1000000000000005	5.5		17.44375	16.2
	6.681249999999999	2.7		16.174999999999997	15.1
	6.68125	4.5		16.23125	19.7
	6.8187500000000005	7.7		16.4375	23.6
	6.3374999999999995	12.8		15.35	22.1
	5.6312500000000005	10.7		14.681250000000002	21
	5.4312499999999995	11.3		15.975	16.3
	5.9875	9.1		16.24375	17.3
	6.581250000000001	7.3		16.56875	11.5
	7.081250000000001	4.7		17.40625	15.8
	7.8375	5.9		18.600000000000005	19.3
	8.381249999999998	8.6		18.243750000000002	21.7
	8.65	4.8		18.83125	11.5
	8.175	0.8		18.03125	9.6
	7.031249999999999	3.5		16.631249999999998	11.5
	7.000000000000001	4.2		16.862500000000004	11.6
May	6.9	4.3		16.481250000000003	10.4
	6.65625	2.7		16.50625	11.5
	7.1000000000000005	4.2		16.21875	14.8
	7.03125	6.1		17.612499999999997	13.2
	7.775	6.8		18.49375	15.3
	8.956249999999999	9.3		18.493750000000002	16.6
	9.4	9.6		19.243750000000002	20.1
	9.51875	11.5		19.643750000000004	23.8
	9.44375	13.4		18.925	27.5
	8.856250000000001	16.3		18.243750000000002	28.7
	8.55625	14.3		18.2875	27
	9.10625	14.7		18.58125	28.5
	8.993750000000002	15.4		18.962500000000002	27.8
	9.15625	11.2		19.93125	24.2
	9.4125	11		19.406250000000004	27.7
	9.46875	15.9		20.075	26.6
	9.731250000000001	15		20.143749999999997	22.8
	10.325	13		19.525	22.2
	10.387500000000001	12.9		20.40625	24
	11.306250000000002	10.3		21.74375	18.4
	11.412500000000003	12.1		22.075	17.8
	11.506249999999998	9.9		22.143749999999997	18.7
	11.275	9.7		21.275	22
	11.1875	11.4		21.35	20.7
	11.63125	11.6		21.612499999999997	23.4
	11.55625	12		21.968750000000004	18.8
	11.475000000000001	9.4		22.162499999999998	14.7
	11.69375	7.3		22.06875	16.4
	11.456249999999999	9.9		21.425	14.7
	10.837500000000002	13.6		21.4	22.6
	11.237499999999999	10.2		21.662499999999998	17.1
Jun.	11.631249999999998	8		22.062499999999996	19.9
	11.90625	11.4		21.51875	20.3
	11.96875	14.9		22.724999999999998	25.2
	13.15	16.4		23.68125	30.4
	13.612499999999999	19		24.06875	33.5
	12.64375	18.5		22.175	32.4
	11.95	19.9		22.71875	33.2
	12.525	17.8		22.724999999999998	32.9
	12.299999999999997	18.5		21.64375	31.5
	11.762500000000001	19.1		22.53125	32.9
	12.6625	20.2		23.262499999999996	34.2
	13.200000000000001	20.8		23.918750000000003	36.2
	12.918750000000001	21.1		23.512500000000003	36.7
	13.087499999999999	22.5		24.218750000000004	35.2
	14.024999999999999	19.8		24.362499999999997	27.6
	13.712499999999999	17.7		24.168749999999996	26
	12.762500000000001	16.1		23	25.4
	12.837500000000002	13.9		23.825	26.6
	13.125000000000002	11.2		23.374999999999996	23.9
	13.262500000000001	11.5		23.812500000000004	25.2
	13.456249999999999	15.7		24.412500000000005	23.4
	14.337499999999999	14.1		24.449999999999996	27.7
	13.625	16.9		23.274999999999995	30.6
	12.2625	16.8		22.937499999999996	22.8
	12.981250000000001	14.4		23.387499999999996	27
	13.181249999999999	14.5		24.150000000000002	28.9
	13.69375	15.4		23.83125	29.5
	13.6125	15		23.975	29.3
	12.956249999999999	16.3		22.7	30.9
	13.01875	17.8		22.925	31
Jul.	12.9375	16.2		23	27.9
	12.79375	14.8		23.693749999999998	29.9
	13.431249999999999	15.7		24.006249999999998	28.3
	13.837500000000002	14.5		25.075000000000006	25.5
	14.512500000000001	12.6		26.843750000000004	22.2
	15.24375	9.3		25.98125	21.5
	15.062499999999998	10.1		25.162499999999998	23.1
	14.9125	12.5		25.075000000000003	22.4
	14.362500000000002	9.8		24.9375	22.4
	14.375000000000002	10.7		24.75625	25.8
	14.275	14.5		24.506249999999998	30.1
	14.256250000000001	17.1		25.09375	27.8
	14.89375	14.7		24.14375	22.3
	14.8375	13.7		24.112499999999997	28
	14.4375	16.1		23.2125	33.5
	13.71875	19.7		23.293749999999996	37.4
	13.8375	17.9		24.374999999999996	32.1
	14.668749999999998	17.3		25.293749999999996	24.5
	14.61875	15.5		25.81875	28.5
	15.34375	16.8		24.09375	35.6
	14.975000000000003	18.8		24.443750000000005	34
	14.26875	19.5		24.024999999999995	30
	13.756249999999998	16.7		23.91875	26.5
	13.793750000000001	12.4		24.599999999999998	25.2
	14.368750000000002	11.6		24.224999999999998	29
	14.3875	16.8		24.899999999999995	32.6
	13.8625	18.2		23.912499999999998	32.6
	13.606250000000001	15.4		23.950000000000003	27.7
	13.649999999999999	12.5		24.600000000000005	29.2
	14.4625	14.1		25.00625	31.8
	14.743750000000002		16.5	25.7375		34
Aug.	14.91875		19.5	24.700000000000003		35.2
	14.137500000000001		18	23.862499999999997		27.1
	14.100000000000001		12.3	23.51875		20.2
	13.924999999999999		12.9	23.64375		23.8
	13.8		16.9	23.6125		28.3
	13.374999999999998		17.8	23.94375		33.1
	13.4875		15.8	25.26875		19.1
	14.01875		13.6	25.08125		24.3
	13.89375		13.7	24.018750000000004		24.5
	13.1625		13.4	23.69375		24.2
	13.481249999999998		13.4	23.818749999999998		23.5
	13.768749999999999		13.8	24.093750000000004		23.8
	13.5375		13.4	22.162499999999998		23
	12.862499999999999		13.4	22.45625		22.6
	13.137500000000001		13.1	23.30625		22.9
	13.525000000000002		13	23.01875		22.2
	12.64375		12.3	21.493749999999995		21.6
	11.69375		11.8	20.7375		21.4
	11.4		11.4	20.912499999999998		21.2
	11.75		12.1	22.137500000000003		22.3
	12.462499999999999		12.4	23.062499999999996		22.2
	12.831249999999999		12.5	22.643749999999997		22.3
	12.20625		11.5	22.58125		21.7
	11.912500000000001		11.5	20.343749999999996		21.3
	11.2625		11.7	21.0125		21.5
	11.9375		12	21.049999999999997		21.1
	11.7875		11.8	21.21875		21.5
	11.7875		11.5	21.449999999999996		20.8
	11.61875		11.1	21.26875		20.8
	11.5625		11.2	19.63125		19.7
	10.96875			19.912499999999998
Sep.	11.256250000000001			19.65625
	10.543750000000001			19.59375
	10.149999999999999			18.91875
	10.118749999999999			18.675
	9.8125			19.05
	9.675			18.837500000000002
	8.700000000000001			19.1375
	8.21875			18.293750000000003
	8.40625			18.575000000000003
	8.75			17.89375
	8.6375			17.24375
	8.831249999999999			17.40625
	9.399999999999999			17.293750000000003
	8.88125			17.24375
	8.9			17.5875
	7.93125			16.9125
	7.6499999999999995			16.775000000000002
	7.762499999999999			16.70625
	7.831249999999998			17.081249999999997
	7.65625			15.74375
	7.8687499999999995			15.112499999999999
	7.587499999999999			15.068750000000001
	7.65625			15.137499999999998
	8.049999999999999			15.20625
	7.225			15.40625
	7.450000000000001			15.231250000000001
	7.1499999999999995			14.99375
	6.0874999999999995			14.374999999999996
	6.7749999999999995			14.818749999999998
	6.125			14.7125
Oct.	5.75625			13.781250000000002
	6.775			13.39375
	6.4625			14.525
	6.4937499999999995			15.01875
	6.83125			14.24375
	7.4375			14.106250000000001
	6.7749999999999995			14.012500000000001
	6.1			13.174999999999997
	5.987499999999999			13.293750000000001
	6.06875			12.84375
	6.5875			13.29375
	6.8374999999999995			13.75625
	5.93125			11.793750000000001
	5.09375			11.393749999999999
	5.0375			12.4125
	5.29375			11.837499999999999
	5.28125			12.69375
	5.187499999999999			12.443749999999998
	5.637499999999999			12.1625
	5.33125			11.775
	5.51875			11.631250000000001
	4.73125			10.40625
	4.481249999999999			10.55
	4.525			10.24375
	4.5875			9.837499999999999
	4.1875			9.731250000000001
	3.275			9.40625
	3.1374999999999997			9.0625
	3.5375			9.268749999999999
	3.575			9.58125
	3.33125			9.075000000000001
Nov.	3.18125			8.3875
	2.20625			7.3875
	2.2375000000000003			7.0375
	2.5437499999999997			7.35625
	2.8625			7.574999999999999
	1.6374999999999997			7.0125
	0.7499999999999998			5.8125
	-0.06250000000000006			5.40625
	0.9499999999999998			6.36875
	1.54375			6.381249999999999
	0.8749999999999999			5.89375
	0.9874999999999999			5.90625
	0.5812500000000002			5.2625
	0.42499999999999993			5.324999999999999
	-0.17500000000000002			4.74375
	-0.23125			3.9562500000000003
	-0.65625			4.043749999999999
	-1.3375000000000001			3.8
	-1.28125			3.33125
	-1.6			3.475
	-0.5625			3.8937500000000003
	-0.18125000000000013			4.025
	0.6375			4.993750000000001
	0.19374999999999992			4.824999999999999
	-0.2562500000000002			4.28125
	-0.7187500000000002			3.912499999999999
	0.38125000000000003			4.012499999999999
	-0.45624999999999993			3.9812499999999997
	-0.7375			3.9875
	-0.81875			3.7500000000000004
Dec.	0.043749999999999886			4.1125
	0.14375000000000004			4.9937499999999995
	1.04375			5.4312499999999995
	0.8062499999999999			5.1312500000000005
	1.0125			5.6499999999999995
	1.1			5.375
	1.2562499999999999			4.98125
	2.3187500000000005			5.925
	2.73125			6.9937499999999995
	2.4437499999999996			6.975000000000001
	1.4			5.818749999999999
	0.5437500000000002			4.8
	0.3812500000000001			4.731250000000001
	-0.5312500000000002			4.15625
	-0.50625			4.03125
	-0.018749999999999878			4.75625
	1.2			5.413333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

30 Jul. 26

-10°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust29.78°C

Coldest MonthJanuary-2.35°C

Wettest MonthFebruary3.72mm

Windiest MonthJuly16.36km/h

Michelstadt 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 Michelstadt historically?

August is historically Michelstadt's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2026-07-30.

2. What is the coldest month in Michelstadt historically?

January is Michelstadt's coldest month, with average minimum temperatures around -1°C. The all-time record low of -17°C was recorded on 2010-12-26.

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

Michelstadt's average annual rainfall is approximately 906.4mm, based on records spanning 17 years.

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

Michelstadt historically records approximately 212.6 rainy days per year. December has the highest number of rain days at an average of 20.2 days.

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

The all-time highest temperature recorded in Michelstadt is 37°C on 2026-07-30.

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

The all-time lowest temperature recorded in Michelstadt is -17°C on 2010-12-26.

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

Michelstadt experiences its strongest winds during February. The historic gust record of 51.5 kph was recorded on 2017-01-13.

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

Usually, Michelstadt's humidity peaks in December at around 88.01% and drops to its lowest in July at approximately 70.9%.

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

Michelstadt 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

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

Michelstadt 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

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