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

Schweinfurt Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.9375000000000001	-0.2		5.281250000000001	1.1
	-0.050000000000000044	-2.9		4.20625	0.8
	0.35624999999999996	-4.1		4.000000000000001	-0.9
	0.11250000000000004	-4.8		3.8749999999999996	-1.7
	-0.5562499999999999	-8		3.55	-2.1
	-0.5312499999999998	-8.3		3.6999999999999997	-2.9
	-0.42499999999999993	-11.4		3.5562500000000004	-3.7
	0.1999999999999999	-7.5		3.6999999999999993	-0.3
	-0.07499999999999997	-0.3		4.1937500000000005	4
	-0.525	-6.2		3.6187499999999995	1.9
	-1.7062499999999998	-8.1		2.6624999999999996	-2.2
	-0.6749999999999999	-6.1		3.1624999999999996	1.9
	-0.8375	1.2		3.7187500000000004	2.9
	-0.76875	-0.9		3.5874999999999995	3.9
Jan.	-1.3812499999999999	0.7		3.4499999999999993	5.8
	-1.5624999999999998	0.2		2.9437499999999996	5.3
	-2.0187500000000003	2.1		2.6062500000000006	5
	-2.44375	-1		2.33125	4.2
	-3.1374999999999997	-1.6		1.8312500000000003	3.9
	-3.3249999999999993	-3		1.8	3.2
	-3.8625000000000007	-4		1.8312499999999998	2.9
	-2.962500000000001	-3.8		2.0125	2.3
	-2.3000000000000003	-3.6		2.0625	2.3
	-2.1062499999999993	-2.9		2.49375	1.7
	-1.9562499999999996	-3.7		2.3625000000000003	2
	-2.4937500000000004	-0.9		2.6875	1.2
	-1.6875000000000002	-3.2		3.1812500000000004	2.2
	-1.0687499999999996	-0.5		3.3625	1.1
	-1.4249999999999996	-0.5		3.7374999999999994	2.5
	-1.6562500000000002	-1.2		4.2375	2.4
	-1.4062499999999998	-2.6		3.4812499999999993	3.1
	-0.80625	-1.7		3.4125	2.2
	-1.23125	-2.3		3.9187500000000006	3.4
	-0.5499999999999998	-2.9		3.8874999999999997	1.9
	-1.2062499999999998	-2.4		3.6374999999999997	4.7
	-1.6625	1.3		3.15	3.9
	-1.25625	-1.6		3.7750000000000004	3.7
	-2.625	3.3		3.4062499999999996	6.1
	-2.8812500000000005	2.2		3.6374999999999997	6.6
	-3.0187499999999994	2.6		3.55625	4.9
	-2.61875	-0.5		3.125	7.8
	-2.6562500000000004	3.7		2.5625	9.1
	-3.16875	4.3		2.65	8.7
	-3.06875	4.4		3.34375	6.7
	-2.55625	-1.4		4.4750000000000005	3.8
Feb.	-1.7999999999999998	-2		4.96875	2.1
	-0.91875	-0.3		6.55	3.9
	-0.3062499999999998	0.3		6.1937500000000005	3.9
	0.23125	-1.5		6.3625	2.7
	-0.11875000000000002	-0.4		5.34375	2
	-0.7375000000000003	-5.5		6.1937500000000005	3.3
	0.2562500000000002	3.3		6.549999999999999	8.3
	0.24375000000000013	7.5		6.437500000000001	10.1
	0.43125000000000013	7.7		6.60625	10.6
	-0.5937499999999999	5.1		7.012500000000001	10.7
	-0.2500000000000001	3.7		7.125	12.4
	-0.55	3.8		6.525	15.4
	-0.60625	6.7		6.181250000000001	16.7
	-0.55	6.7		6.706250000000001	14.2
	-0.47500000000000003	3.7		7.20625	10.8
	-0.24999999999999992	2.1		7.30625	12.5
	-0.32500000000000007	2.8		8.06875	12.8
	-0.28750000000000003	3.6		8.46875	13.2
	-0.3125000000000001	3.6		7.40625	14.5
	-0.6124999999999999	3.5		7.1937500000000005	14.6
	-0.3750000000000001	3.9		7.55625	14.6
	-0.4562499999999998	4.2		8.35	13.9
	0.6375	4.2		9.16875	14.1
	0.7312500000000001	5.5		9.693749999999998	15.5
	0.8187499999999999	7.3		8.96875	13.5
	1.3375	4.8		8.600000000000001	11.9
	1.4812500000000002	2.4		8.95625	12.9
	1.2	4.3		8.59375	9.3
Mar.	0.9500000000000001	1.5		8.6375	6.8
	1.3625	0.7		9.918750000000001	8.4
	0.9687499999999999	1.1		9.90625	5.2
	1.95	-0.5		10.0125	12.7
	1.65	2.3		10.256250000000001	13.1
	1.3875000000000002	2.8		10.781249999999998	12.5
	1.9187499999999997	3.2		11.4875	10.6
	2.00625	3		10.606250000000001	13.5
	2.075	2.2		11.381250000000001	13.7
	1.9625	3.7		11.462499999999999	14.4
	1.5562500000000001	2.3		11.631250000000001	10.2
	2.1374999999999993	-0.9		10.537500000000001	6.1
	1.6750000000000003	-1.9		11.156250000000002	7.2
	2.30625	-1		12.875	8.7
	3.70625	-1.1		12.950000000000001	7.6
	3.1125	1.2		12.962499999999999	7
	3.4875	1.7		12.00625	7.1
	3.2187499999999996	1.5		11.493749999999999	10.2
	2.2312499999999997	-0.4		11.500000000000002	12.4
	2.625	4		12.61875	12
	2.91875	6.2		12.231250000000001	13.6
	2.9437499999999996	5.6		11.693750000000001	17.2
	2.7062500000000003	3.2		12.612499999999999	13.4
	3.6312499999999996	2.5		14.099999999999998	15.2
	3.5625	1.4		13.49375	15.4
	4.0125	3.1		14.624999999999998	15.4
	4.29375	5.9		14.412500000000001	11.9
	4.518750000000001	2.6		14.71875	15.6
	4.374999999999999	7		13.799999999999997	9.1
	4.737500000000001	7.3		13.656249999999998	14
	3.8062499999999995	7.1		14.16875	9.1
Apr.	4.3375	6.1		14.16875	15.3
	4.38125	9.8		14.43125	17.5
	4.1875	7.2		14.125	19.9
	4.2	10.5		14.01875	19.2
	4.281249999999999	5.5		14.8125	12.4
	4.56875	3.2		15.60625	11.5
	5.162500000000001	3		16.2375	11.6
	5.225	0.8		16.0875	14.9
	5.45	2.2		16.0125	18.1
	5.3625	2.1		15.975000000000001	17.7
	5.6499999999999995	3.5		15.381250000000001	18.5
	5.1375	3.5		14.325000000000001	15.1
	4.2625	2.7		14.65	17
	4.956250000000001	6.7		16.043750000000003	18.3
	6.312500000000001	3.6		17.625	15.9
	7.5375	1.5		17.05	16.2
	7.293749999999999	3.4		16.825	20.9
	6.925	6.1		16.4625	23
	6.83125	8.8		15.899999999999999	22.9
	6.2437499999999995	10		15.006249999999998	21.3
	5.5875	11.9		16.20625	21.3
	6.1812499999999995	9.8		16.525000000000002	19
	6.774999999999999	7.4		16.95625	11
	6.806250000000001	6.8		17.775000000000002	16.1
	7.85625	4.5		18.76875	19.7
	8.19375	6.8		18.974999999999998	22.1
	9.031250000000002	4.5		19.175	14.2
	8.6375	1.5		18.200000000000003	11.1
	7.156250000000001	1.1		16.675	10.7
	7.4	4		17.374999999999996	11
May	6.91875	2.8		16.68125	12.1
	7.0875	1.4		16.74375	12.6
	7.58125	2.2		16.893749999999997	15.9
	7.625	3.7		17.93125	16.4
	7.8687499999999995	4.7		19.2125	16.2
	9.337499999999999	8.7		19.275000000000002	17.2
	9.681249999999999	7.9		20.181250000000002	19.7
	10.125	9.5		20.387499999999996	23.7
	9.53125	11.9		19.63125	26.9
	9.212499999999999	14.6		18.7	28.9
	9.1375	12.9		18.5125	26.8
	9.0625	13.1		18.95	28.8
	9.262500000000001	12.4		18.799999999999997	26.4
	9.481250000000001	8.9		19.425000000000004	23.2
	9.56875	7.7		19.193749999999998	25.5
	9.449999999999998	14.1		20.14375	27
	10.268749999999999	12.9		20.574999999999996	22.2
	10.412500000000001	12.7		19.78125	22.8
	10.568750000000001	11.1		20.78125	24.1
	11.293749999999998	10.9		22.36875	18.2
	11.45625	11.1		22.21875	19.6
	11.93125	10.3		22.693749999999998	18.8
	11.218749999999998	7.6		21.487500000000004	21.3
	11.36875	9.4		21.51875	20.9
	11.63125	9.1		21.731250000000003	24.2
	11.762500000000001	10.5		22.506250000000005	19.7
	12.10625	8.8		22.3875	16.6
	12.3625	6.8		22.05625	16.9
	11.95625	8.3		21.918750000000003	16.1
	11.25	11.8		21.4375	22.9
	11.006249999999998	8.2		21.6875	17.3
Jun.	11.6375	6		22.025000000000006	18.7
	12.2	9		21.275000000000002	19
	11.9375	11.6		22.98125	25.4
	13.293750000000001	14.4		23.96875	28.7
	13.64375	16.8		23.99375	32.8
	12.724999999999998	17.1		23.018749999999997	30.8
	12.2625	17.9		22.731250000000003	32.3
	12.806249999999999	15.8		23.09375	31.5
	12.943750000000001	16.8		21.8875	30.7
	12.018749999999999	16.7		22.568749999999998	32.3
	12.53125	18.3		23.75	33.9
	13.224999999999998	19.5		24.243750000000002	35.1
	13.24375	21.5		23.775	36.8
	13.162499999999998	20.7		24.66875	35.9
	14.625000000000002	18.3		24.85	29.4
	13.725000000000001	17.7		24.481249999999996	27.3
	13.206249999999999	15.6		23.237500000000008	25.6
	13.125	12.2		24	27.1
	13.168750000000001	9.6		23.387500000000003	24.2
	13.218750000000002	10		24.45625	25.2
	13.693750000000001	14.3		25.068749999999994	23.1
	14.6125	12.6		25.181250000000002	26.8
	13.61875	14.7		23.950000000000003	30.4
	12.631250000000003	16.1		23.25	22.5
	13.3625	12.4		23.23125	26.9
	13.399999999999997	12.8		24.362499999999997	29.2
	14.049999999999999	14.3		24.15	29.1
	13.993750000000002	13.8		24.418750000000003	30.3
	13.625000000000002	14.9		22.95625	31.9
	13.243749999999999	16.1		23.137499999999996	30.8
Jul.	13.09375	14.3		23.50625	28.2
	12.837499999999999	13.6		23.762500000000003	30.8
	13.46875	16		24.325	25.3
	13.9	14.7		25.01875	25.4
	14.53125	11.9		26.806250000000002	22.7
	15.2375	8.4		26.456249999999997	22.5
	15.387500000000003	8.8		25.375000000000004	21.5
	15.156250000000002	10.2		25.2375	22.4
	14.6875	8.6		25.075000000000003	21.6
	14.599999999999998	8.2		25.03125	26.4
	14.431250000000002	11.5		25.006249999999994	30.6
	14.5375	14.7		24.94375	28.6
	15.2125	14.8		24.631250000000005	22.7
	15.35	11.9		24.7125	28.2
	14.850000000000001	14.2		23.575000000000003	35.4
	13.949999999999996		18.3	23.562500000000004		38
	14.031249999999998		17	24.20625		34.5
	15.0125		16.7	25.26875		29.1
	14.893750000000002		15.9	26.112500000000004		31.5
	15.475000000000001		17.1	24.706249999999997		35.7
	15.3375		18.5	24.85625		32.9
	14.768750000000002		17.6	24.55		31.8
	14.024999999999999		16.2	23.981250000000003		31.4
	14.05625		14.4	24.668750000000006		25.2
	14.450000000000001		14.9	25.15625		25.1
	14.900000000000002		14.8	25.299999999999997		25.3
	14.468750000000002		14.5	24.75		24.4
	13.9		13.6	24.312500000000004		23.9
	13.8		14.2	24.26875		24.7
	14.593750000000002		14.9	25.287500000000005		25.4
	15.100000000000001		14.8	25.768749999999997		25.5
Aug.	15.225000000000001		15.1	25.293749999999996		25.3
	14.4		14.4	24.337499999999995		24.6
	14.568750000000001		14.5	24.1875		23.8
	14.181249999999997		14.1	23.71875		24.1
	13.887500000000001		14	23.74375		24.4
	13.537500000000003		14.1	24.181250000000002		24.9
	13.83125		13.9	25.343750000000004		24.9
	14.25625		13.8	25.450000000000003		24.6
	13.981250000000001		13.6	24.325000000000006		24.7
	13.349999999999998		13.8	24.500000000000004		24.8
	13.737499999999999		13.7	24.012499999999996		23.9
	14.175		14	24.493750000000006		24.2
	13.775		13.8	22.856249999999996		23.6
	13.349999999999998		13.6	22.806250000000002		23.1
	13.212499999999997		13.4	23.7		23.2
	13.749999999999998			23.49375000000001
	13.262500000000001			22.087500000000006
	12.11875			20.9625
	11.8375			21.25625
	12.1			22.0875
	12.299999999999999			23.481249999999996
	12.9375			22.95
	12.799999999999999			23.04375
	12.487499999999997			21.3
	11.600000000000003			21.637500000000003
	12.14375			21.75
	11.931249999999999			21.81875
	11.99375			21.737499999999997
	11.843750000000002			21.668750000000003
	11.849999999999998			20.356250000000003
	11.45625			19.943749999999998
Sep.	11.48125			20.15
	10.60625			19.75625
	10.35			19.325
	10.025			18.9875
	9.956250000000002			19.09375
	9.450000000000001			19.125
	8.91875			19.3375
	8.524999999999999			18.268749999999997
	8.4875			18.7375
	9.15625			18.374999999999996
	9.287500000000001			17.475
	9.11875			17.912499999999998
	9.54375			17.412499999999998
	9.200000000000001			17.674999999999997
	8.425			17.731249999999996
	8.056249999999999			17.318750000000005
	7.8			17.218749999999996
	7.7375			16.86875
	8.368749999999999			17.318749999999998
	7.700000000000001			15.831250000000002
	7.731249999999998			15.281249999999996
	7.550000000000001			15.368750000000002
	8.393749999999999			15.381250000000003
	8.09375			15.23125
	7.306250000000001			15.825
	7.49375			15.8125
	6.9437500000000005			15.231250000000001
	6.19375			14.30625
	6.700000000000001			14.63125
	6.1			14.53125
Oct.	6.262499999999999			13.837499999999999
	6.875			13.649999999999999
	6.406249999999999			14.575000000000001
	6.10625			14.762500000000001
	6.4437500000000005			13.725000000000003
	7.331250000000001			14.074999999999998
	6.6375			13.937500000000002
	6.24375			13.193749999999998
	6.0375			13.424999999999997
	6.46875			12.906250000000002
	6.6375			13.38125
	6.831249999999998			13.875
	5.84375			12.106249999999998
	5.38125			11.3375
	4.825			12.2
	4.95625			11.7875
	4.8875			12.374999999999998
	5.187499999999999			12.11875
	5.09375			12.000000000000002
	5.362499999999999			11.656249999999998
	5.512500000000001			11.287499999999998
	4.793749999999999			10.281250000000002
	4.44375			10.706249999999999
	4.481249999999999			10.143749999999999
	4.775			9.737499999999999
	4.1187499999999995			9.74375
	3.3249999999999997			9.19375
	3.00625			8.65
	3.4187499999999997			8.962499999999999
	3.2812500000000004			9.443750000000001
	3.0249999999999995			8.693750000000001
Nov.	3.20625			8.7375
	1.9937500000000001			7.3875
	2.275			7.2749999999999995
	2.7875			7.250000000000001
	2.9937500000000004			7.393750000000001
	1.85			6.6625000000000005
	0.8250000000000001			5.75625
	0.2624999999999999			5.025000000000001
	0.48125000000000007			5.9875
	1.2874999999999999			6.4375
	0.75			5.475
	0.8374999999999999			5.59375
	0.5375000000000001			4.75625
	0.35			4.84375
	-0.4750000000000002			4.35625
	-0.44374999999999987			3.8000000000000003
	-0.65625			3.79375
	-1.2375000000000003			3.36875
	-1.7875000000000003			2.8375000000000004
	-1.2437500000000001			3.06875
	-0.7124999999999999			3.5
	-0.3			3.50625
	0.55			4.456250000000001
	0.062499999999999944			4.0249999999999995
	-0.15000000000000013			4.2
	-0.7500000000000002			3.825
	0.4125000000000001			3.9375
	-0.18749999999999997			3.8937499999999994
	-0.44374999999999987			3.7249999999999996
	-0.41875000000000007			3.525
Dec.	-0.3062499999999999			4.00625
	-0.13125			4.41875
	0.5437499999999998			4.7125
	0.18749999999999997			4.543750000000001
	0.024999999999999883			5.125
	0.31875			5.25625
	0.6687499999999998			4.725
	1.6125			5.29375
	2.3499999999999996			6.45625
	2.35625			6.550000000000001
	1.5374999999999999			5.7625
	0.56875			4.86875
	5.551115123125783e-17			4.262500000000001
	-0.7562499999999999			3.8312500000000003
	-0.6062500000000001			3.68125
	-0.59375			4.300000000000001
	1.0933333333333335			4.886666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

27 Jun. 26

-11°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthJuly26.74°C

Coldest MonthJanuary-3.13°C

Wettest MonthJune3.34mm

Windiest MonthJuly19.23km/h

Schweinfurt 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 Schweinfurt historically?

July is historically Schweinfurt's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2022-07-20.

2. What is the coldest month in Schweinfurt historically?

January is Schweinfurt's coldest month, with average minimum temperatures around -1°C. The all-time record low of -16°C was recorded on 2012-02-07.

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

Schweinfurt's average annual rainfall is approximately 740.2mm, based on records spanning 17 years.

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

Schweinfurt historically records approximately 204.2 rainy days per year. August has the highest number of rain days at an average of 18.3 days.

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

The all-time highest temperature recorded in Schweinfurt is 37°C on 2022-07-20.

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

The all-time lowest temperature recorded in Schweinfurt is -16°C on 2012-02-07.

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

Schweinfurt experiences its strongest winds during February. The historic gust record of 48.1 kph was recorded on 2015-03-31.

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

Usually, Schweinfurt's humidity peaks in December at around 87.7% and drops to its lowest in July at approximately 70.6%.

Recent Blogs On Weather

See all blogs

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

Schweinfurt 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

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

Schweinfurt 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

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