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

Fulda Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.65625	-2.3		4.85625	0.7
	-0.3312499999999997	-3.8		3.86875	0.4
	-0.21250000000000013	-4.5		3.88125	-1.5
	-0.17500000000000007	-4.5		3.7125	-1.3
	-1.30625	-9.8		3.4000000000000004	-2.7
	-1.0312500000000004	-10.3		3.5999999999999996	-2.9
	-0.9812500000000001	-11.3		3.20625	-3.7
	-0.4875	-8.3		3.2375000000000003	-0.6
	-0.5812499999999999	-1.2		3.8625000000000003	3.1
	-1.4625000000000001	-8.9		3.0437499999999993	0.9
	-2.3812499999999996	-12.1		2.5062500000000005	-2.8
	-1.41875	-8.8		2.76875	0.8
	-1.4687499999999998	-0.2		3.1625	3.1
	-1.7625000000000002	-0.1		3.2812499999999996	4.4
Jan.	-1.9562499999999996	1.1		3.0062499999999996	6
	-2.225	-1		2.36875	7.9
	-3.0187499999999994	-0.8		2.5	4.5
	-3.5249999999999995	-1.6		2.0500000000000003	4.3
	-4.025	-2.1		1.4249999999999998	4.4
	-4.362499999999999	-3.6		1.3937499999999998	4.1
	-4.249999999999999	-3.9		1.68125	3.9
	-3.6875000000000004	-2.8		1.63125	4.2
	-2.81875	-2.5		1.71875	4.2
	-2.9187500000000006	-3.2		2.01875	3.1
	-2.6625000000000005	-3.4		2.14375	3.1
	-3.0999999999999996	-1.7		2.3375	1
	-2.3125000000000004	-7.3		2.6875	1.4
	-1.9374999999999998	-0.5		3.0499999999999994	0.9
	-1.6625	-0.7		3.125	1.9
	-2.1125000000000003	-5.6		3.5812500000000003	1.2
	-2.525	-4.6		2.8312500000000003	2
	-2.0625000000000004	-1.1		2.9250000000000003	1.8
	-2.1812500000000004	-2.7		3.4187499999999997	2
	-1.30625	-5.1		3.5437499999999997	1.2
	-2.0062499999999996	-3.4		3.3562499999999997	3.7
	-2.1875	-1.3		3.14375	3
	-2.4499999999999993	-3.6		3.0437499999999997	3.9
	-3.8624999999999994	1.1		2.8875	5
	-3.975000000000001	0.6		2.725	6.1
	-3.6875	-1.3		2.9125000000000005	4.8
	-3.4687499999999996	-1.6		2.7375	6.7
	-2.98125	2.4		2.125	8.2
	-4.0375	4.2		2.50625	7.4
	-3.875	2.1		3.2062500000000003	5.7
	-3.0687500000000005	-2.9		4.19375	2
Feb.	-1.6312500000000005	-4		5.09375	1.7
	-0.8125000000000002	-0.4		6.2875	2.9
	-0.9249999999999998	-1.5		6.168749999999999	3.2
	-0.30000000000000004	-4.2		5.8125	1.5
	-0.7750000000000001	-1.1		5.074999999999999	1
	-1.4562499999999998	-4.7		5.537499999999999	3.5
	-0.27500000000000024	3.3		6.1125	7.2
	-0.03125000000000011	7.1		6.1625	9.6
	0.25625	7.1		5.98125	9.5
	-0.32500000000000007	3.8		6.45	10.4
	-0.3999999999999999	3.7		6.6812499999999995	13
	-0.4125000000000001	4.2		5.850000000000002	14.5
	-1.0812500000000003	6.6		5.5562499999999995	16.3
	-1.4187499999999997	6.8		5.949999999999999	12.5
	-1.2437500000000001	1.5		6.54375	10.7
	-1.0812499999999998	1.6		6.95625	11.6
	-0.9750000000000001	2.8		7.5062500000000005	13.5
	-0.6625	3.3		7.981250000000001	13.2
	-0.7687500000000003	3.5		6.9	14.1
	-1.125	3.3		6.8812500000000005	15.3
	-0.6562500000000002	4.1		7.143749999999999	15.6
	-1.275	4.2		7.5	14.4
	-0.01874999999999992	4.1		8.706249999999999	14.3
	-0.14375	4.8		9.006250000000001	15.2
	0.5375000000000001	6.6		8.44375	11.8
	0.9437500000000001	3.7		7.950000000000001	10.5
	0.775	2.8		8.275	12.3
	1.09375	2.8		7.7875	9.1
Mar.	0.38749999999999996	0		8.031250000000002	5.9
	0.5625	-0.2		9.09375	8.4
	0.8500000000000001	-0.5		8.624999999999998	4.6
	0.8687499999999999	-1.1		9.593750000000002	11.8
	1.11875	0.9		9.75	12.6
	1.0187499999999998	1.9		10.29375	11.2
	1.6687500000000002	1.6		10.749999999999998	9.7
	1.8125000000000004	0.8		9.856250000000001	13
	1.79375	1.3		10.674999999999999	13.1
	1.2687499999999998	3		10.606249999999998	13.4
	1.0874999999999997	-0.2		10.925000000000002	9.1
	1.1625	-3.2		9.768749999999997	4.9
	0.80625	-3.6		10.5125	6.5
	1.8687500000000001	-1.9		12.181249999999999	5.4
	3.0187500000000003	-5		11.893749999999999	6.1
	2.7187500000000004	1.3		11.993750000000002	5.9
	3.40625	0.5		11.2625	5.8
	2.34375	-0.9		10.525	9.1
	1.44375	-1		10.693749999999998	11.7
	2	3.9		11.6	10.5
	2.25625	7.6		11.44375	13.4
	2.1312499999999996	5.7		10.887500000000001	15.3
	2.325	0.9		11.70625	12.4
	3.1312499999999996	1.1		13.33125	13.6
	3.2312499999999997	0.2		12.918749999999998	15.4
	3.4	2.1		13.94375	15.3
	4.2250000000000005	4.3		13.531250000000002	11
	3.79375	1.5		14.00625	14.8
	3.7125	5.2		13.012500000000001	11.5
	4.4125	5.5		13.156249999999998	11.5
	3.1874999999999996	4.7		13.31875	13.4
Apr.	3.7937499999999997	2.7		13.40625	16.4
	4.1625	7.4		13.74375	16.5
	3.63125	6.6		13.19375	18.7
	3.9437499999999996	9.4		13.45	18.4
	3.78125	3.6		14.325	11.7
	4.231249999999999	2.3		14.931249999999997	9.9
	4.53125	2.5		15.5625	11.7
	4.475	-0.3		15.137500000000001	13.6
	4.7625	1.1		15.506250000000003	16.4
	4.649999999999999	0.3		15.187499999999998	16.1
	5.331250000000001	1.7		14.806249999999999	16.9
	4.15	1.1		13.587500000000004	13.7
	3.6375	1.9		13.275000000000002	15.5
	4.637499999999999	2.9		15.374999999999998	15.7
	6.05625	1.9		16.699999999999996	14.1
	6.66875	1.2		16.1125	15.6
	6.33125	3		16.2875	19.8
	6.324999999999999	6.2		15.837500000000002	22.6
	6.112500000000002	10		15.16875	21
	5.43125	8		13.893749999999999	20.8
	5.09375	10		15.356250000000001	19.2
	5.34375	8.9		15.668749999999998	16.1
	6.66875	7.1		16.0375	8.5
	6.462500000000002	4.1		16.5375	14.4
	7.5562499999999995	3.4		18.0875	18.4
	7.987500000000001	6.1		18.31875	19.1
	8.4875	3.9		18.49375	11.5
	8.0875	0.1		17.825	9.6
	6.61875	0.7		16.225	9.5
	6.9437500000000005	3		16.8	10.7
May	6.368750000000001	1.2		15.862499999999999	10.6
	6.73125	0.1		15.86875	11.4
	6.875	2.1		16.318749999999998	14
	7.10625	3.9		17.19375	15.2
	7.568750000000001	4.4		18.0125	15.2
	8.5125	8.2		18.200000000000003	15.9
	9.218750000000002	6.8		19.293750000000006	18.9
	9.743749999999999	8.8		19.49375	23.7
	9.3875	11.9		18.8375	26
	8.6625	13.9		17.775000000000002	27.2
	8.399999999999999	11.3		17.831249999999997	25.4
	8.6875	12.7		18.387499999999996	27.8
	8.600000000000001	10.1		17.937500000000004	24
	8.96875	6.8		18.925	21.4
	8.943749999999998	7.6		18.34375	25.9
	8.774999999999999	13.5		19.493750000000002	25.1
	9.45	12.5		19.86875	20.7
	9.637500000000001	12.2		18.981249999999996	20.6
	9.825	11		19.95625	23
	10.724999999999998	10.3		21.475	17.6
	10.61875	11.5		21.3125	17.7
	11.3375	9.3		21.85625	17.6
	10.918750000000001	7.2		20.93125	19.5
	10.668750000000001	8.5		20.89375	19.5
	10.96875	8.3		21.14375	23
	11.137500000000001	9.4		21.775000000000002	18.8
	11.350000000000001	6.9		21.64375	14.8
	11.599999999999998	6		21.325000000000003	15.5
	11.025	7.3		20.5375	16.3
	10.425	9.3		20.287499999999998	20.6
	10.462499999999997	5.9		21.018749999999997	16.6
Jun.	11.368749999999999	4.6		21.212500000000002	15.7
	11.393749999999999	7.9		20.26875	19.6
	11.23125	11.8		22.143749999999997	24
	12.906249999999998	14.4		23.475000000000005	27.8
	13.099999999999998	16.7		23.30625	31.7
	12.08125	16.2		21.637500000000003	30.7
	11.224999999999998	18.1		21.8	31
	12.031250000000002	15.1		22.50625	28.5
	11.75625	15.9		20.9375	28.7
	11.518749999999999	16.3		21.656250000000004	30.8
	12.31875	18		22.73125	32
	12.606249999999998	18.6		23.243750000000002	34.2
	12.13125	20.7		22.756249999999998	36
	12.481250000000001	20.7		23.8375	33.6
	13.781249999999996	16.5		24.031250000000004	25.4
	13.006249999999998	15.8		23.512500000000006	26
	12.587500000000002	13.3		22.31875	24.2
	12.66875	10.9		23.187500000000004	26.3
	12.2125	7.1		22.712500000000002	23.5
	12.40625	7.6		23.612499999999997	23.3
	13.012500000000003	12.7		24.26875	22.3
	13.5875	10.8		23.875000000000004	24.5
	12.612499999999999	14.3		22.75	28.6
	11.9375	14.1		22.293750000000003	21.1
	12.393749999999999	10.8		22.406249999999996	25
	12.725000000000001	11.8		23.5375	27.7
	13.374999999999998	13.1		23.318749999999998	27.2
	13.200000000000001	12.6		23.5	28.6
	12.775000000000002	13.7		21.925	30.3
	12.393749999999999	15.1		22.043750000000003	29.3
Jul.	12.36875	12.6		22.1375	26.6
	12.16875	12		22.887499999999996	29.5
	12.856250000000001	14.7		23.443750000000005	25.9
	13.118750000000002	13.1		24.1	24.2
	13.824999999999998	10.2		25.862500000000004	19.9
	14.5875	6		25.349999999999994	20.5
	14.500000000000002	7.4		24.143749999999997	22.1
	14.3	9.4		24.287499999999998	19.3
	13.99375	7.4		24.243750000000002	20.8
	13.918750000000001	7.5		24.11875	25.1
	13.850000000000001	11.6		23.881249999999994	29.5
	13.568750000000001	14.2		24.275	26.9
	14.38125	12.6		23.91875	22
	14.287499999999996	10.2		23.700000000000003	27
	14.1875	14.1		22.55625	33.3
	13.21875	17.1		22.33125	37.1
	13.006249999999998	16.1		23.23125	31.6
	13.64375	14.2		24.431250000000002	23.6
	14.1125	12.4		24.975000000000005	27.2
	14.737499999999997	15.2		23.743750000000002	34.4
	14.631249999999998	17.2		23.993750000000002	33.8
	13.737499999999999	17.2		23.0375	31
	12.987499999999999		13.4	23.1375		26
	13.531249999999998		8.8	23.9125		24.7
	13.749999999999998		9.6	23.775		26.7
	14.149999999999999		12.7	24.45625		31.3
	13.362500000000004		16	23.337500000000002		34.4
	13.15		17.3	22.9		32.7
	13.03125		17.7	23.268749999999997		32.1
	13.587499999999999		17.7	24.3875		32.9
	14.30625		14	24.912499999999998		24.4
Aug.	14.56875		14.2	23.906249999999996		24
	13.375		13.3	23.125		23.4
	13.325000000000003		13.3	22.662499999999998		22.4
	13.424999999999999		13.2	22.775000000000002		23
	12.99375		13.1	22.806250000000002		23.5
	12.675		13.3	23.200000000000003		23.9
	12.75		12.8	24.375000000000004		23.7
	13.350000000000001		12.8	24.237499999999997		23.6
	13.099999999999998		12.9	23.474999999999998		23.8
	12.56875		12.8	23.2375		23.6
	12.406249999999998		12.5	23.025		23
	13.037499999999998		13	23.143749999999994		22.9
	12.831249999999999		12.9	21.53125		22.4
	12.13125		12.6	21.906250000000004		22.3
	12.462499999999999		12.4	22.75625		22.1
	12.48125		12	22.24375		21.9
	12.175		11.6	21.231250000000003		21.1
	10.837500000000002		11.2	20.112500000000004		20.8
	11.09375		11.2	20.549999999999997		20.9
	10.9625		11.2	21.3875		21.3
	11.30625		11.4	22.24375		21.8
	12.062499999999998		11.7	22.3		21.6
	11.918750000000001			22.006250000000005
	11.531250000000002			20.11875
	10.53125			20.55625
	11.51875			20.7375
	11.33125			20.6375
	10.962499999999999			20.675
	10.675			20.681249999999995
	10.887499999999998			18.900000000000002
	10.275			19.043749999999996
Sep.	10.806250000000002			19.431250000000002
	9.831250000000002			18.88125
	9.56875			18.70625
	9.275			18.05625
	9.3125			18.26875
	8.956250000000002			18.39375
	8.325000000000001			18.687500000000004
	8.024999999999999			17.675
	8.41875			17.849999999999998
	8.574999999999998			17.443749999999998
	8.6375			16.675
	8.55625			16.675
	8.762500000000001			16.29375
	8.0875			16.581249999999997
	7.643750000000001			16.8
	7.08125			16.3875
	7.11875			16.1625
	7.218749999999999			15.943750000000001
	7.39375			16.543750000000003
	6.94375			15.14375
	7.356249999999999			14.19375
	6.98125			14.306250000000002
	7.4125000000000005			14.23125
	7.3125			14.356249999999998
	6.63125			14.69375
	6.85			14.91875
	6.393750000000001			14.1625
	5.175000000000001			13.1375
	6.1625000000000005			13.73125
	5.65625			13.5875
Oct.	5.5625			13.168750000000001
	6.112500000000002			12.700000000000003
	6.2375			13.850000000000001
	5.3875			14.181250000000002
	6.312500000000002			13.3
	7.1187499999999995			13.381250000000003
	6.343749999999999			13.5
	6.074999999999999			12.662500000000001
	5.343749999999999			12.875000000000002
	5.8625			12.5125
	6.20625			12.4375
	6.749999999999999			13.112500000000002
	5.2			11.625
	4.90625			10.743750000000002
	4.831250000000001			11.49375
	4.85			11.243749999999999
	4.7562500000000005			12.043750000000001
	4.925			12.0375
	5.35625			11.25
	5.412500000000001			11.331250000000002
	4.787499999999999			10.76875
	4.012499999999999			10.3
	3.78125			10.424999999999999
	4.0625			9.743749999999999
	4.325			9.55625
	3.5749999999999993			9.481250000000001
	3.1562500000000004			9.1625
	2.4562500000000003			8.618750000000002
	2.9812499999999997			8.91875
	2.6937500000000005			8.918750000000001
	2.8749999999999996			8.49375
Nov.	2.425			8.475000000000001
	1.475			7.1937500000000005
	1.30625			6.7562500000000005
	2.10625			6.562500000000001
	1.9937500000000004			6.712500000000001
	1.0624999999999998			5.96875
	0.01874999999999999			5.418749999999999
	-0.13749999999999998			4.80625
	0.7062499999999998			6.35
	0.66875			6.237499999999999
	0.6312499999999999			5.4875
	0.39999999999999997			5.268750000000001
	-0.08125000000000011			4.5375000000000005
	-0.2687500000000001			4.825
	-0.6312500000000001			4.05625
	-1.2625000000000002			3.5749999999999993
	-1.8187499999999996			3.3187499999999996
	-2.25625			3.25
	-2.28125			3.0312499999999996
	-1.78125			2.9999999999999996
	-1.125			3.01875
	-0.8624999999999999			3.08125
	-0.28125			3.98125
	-0.4375000000000001			3.9999999999999996
	-0.7062500000000003			3.6187499999999995
	-1.125			3.4500000000000006
	-0.2375			3.5125
	-0.7937499999999998			3.593749999999999
	-1.6125000000000005			3.1875
	-1.2437500000000001			3.1812500000000004
Dec.	-0.95			3.69375
	-0.4625000000000001			4.175000000000001
	0.56875			4.8374999999999995
	0.21875000000000003			4.625
	0.14375000000000002			5.1375
	0.43125			5.275
	0.3499999999999999			4.74375
	1.1500000000000001			5.14375
	2.0562499999999995			5.8374999999999995
	1.7062499999999998			6.0375
	0.95625			5.23125
	0.09375000000000006			4.49375
	-0.2875			4.5874999999999995
	-0.9437500000000001			3.8
	-0.90625			3.56875
	-0.8562499999999998			4.01875
	0.8666666666666666			5.026666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

30 Jul. 26

-12°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30°C

Coldest MonthJanuary-4.2°C

Wettest MonthMay2.74mm

Windiest MonthJuly19.44km/h

Fulda 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 Fulda historically?

August is historically Fulda'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 Fulda historically?

January is Fulda's coldest month, with average minimum temperatures around -2°C. The all-time record low of -20°C was recorded on 2012-02-07.

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

Fulda's average annual rainfall is approximately 813.09mm, based on records spanning 17 years.

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

Fulda historically records approximately 214.8 rainy days per year. January 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 Fulda?

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

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

The all-time lowest temperature recorded in Fulda is -20°C on 2012-02-07.

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

Fulda experiences its strongest winds during February. The historic gust record of 46.5 kph was recorded on 2020-02-10.

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

Usually, Fulda's humidity peaks in January at around 90.7% and drops to its lowest in July at approximately 74.02%.

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

Fulda 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

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

Fulda 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

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