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

Vienne Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.9625	-4.2		7.5625	6.1
	1.29375	-3.6		6.76875	3.4
	1.03125	-3.2		6.468749999999999	1.6
	1.2812499999999998	-4.7		6.675000000000001	0.3
	1.45	-4.9		6.4937499999999995	-0.1
	1.16875	-5.4		6.18125	-0.7
	0.8375000000000001	-5.7		6.21875	0.1
	1.8	-3		6.8	3.6
	1.3875000000000002	0.6		5.774999999999999	6.6
	0.675	-0.9		5.96875	4.6
	-0.49375	-3		5.249999999999999	2.4
	-0.7250000000000001	-1.1		5.618750000000001	6.4
	0.18749999999999994	3.7		6.437499999999999	12.2
	0.17499999999999993	5.7		6.10625	12.4
Jan.	-0.3875	6.1		5.71875	12
	-0.5937499999999999	5.4		5.5874999999999995	11.1
	-0.19375000000000006	5.7		5.68125	9.3
	-1.3375	4.4		4.731249999999999	8.6
	-1.1375	3.7		4.774999999999999	8.7
	-0.9375	1.1		4.9875	9
	-0.54375	0.7		4.875	8.6
	0.08125000000000002	2.7		5.6000000000000005	7.1
	-0.20625000000000007	2.5		5.3125	8.2
	-0.6062499999999997	0		5.7749999999999995	6.1
	0.15000000000000002	2.2		5.8374999999999995	8
	-0.2187500000000001	0.3		6.1937500000000005	4
	0.5875000000000001	1.1		6.325	8.5
	0.30000000000000004	1.6		6.781249999999999	6
	1.275	0.5		6.687500000000002	6.1
	0.8624999999999999	0.9		6.31875	7.5
	0.90625	3.9		7.175	6.9
	1.3187499999999999	3.2		6.606250000000001	8.4
	0.90625	3.1		6.85625	9.3
	0.5125000000000001	4.8		6.69375	10.3
	-0.09375000000000014	2.1		6.6	10
	0.3375	4.3		6.350000000000001	11.2
	-0.2562500000000002	5		6.81875	11.2
	-0.9375000000000003	2.6		6.4875	9.6
	-0.7249999999999999	2.5		6.781249999999999	9.6
	0.23124999999999998	1.7		7.3374999999999995	9.7
	-0.24374999999999986	4.7		6.7875000000000005	7.6
	-0.6999999999999998	8		5.9125000000000005	13.6
	-0.7437500000000001	6.2		6.4624999999999995	9.6
	-0.8312499999999999	2.3		7.199999999999998	9.2
	0.13124999999999992	0.7		7.918749999999999	6.2
Feb.	1.24375	-1.8		8.8875	4.7
	2	4.8		9.35	9.7
	2.10625	3.2		9.875	7
	1.7750000000000001	3.4		10.13125	11.2
	1.9249999999999998	5.5		9.7125	8.5
	1.5437500000000002	4.6		9.812499999999998	7.2
	2.0375	4		9.881250000000001	11.7
	2.5562499999999995	4.4		9.956249999999999	12.9
	2.35	6		10.83125	12.4
	2.60625	6.1		10.412499999999998	15.2
	2.225	6.9		9.368749999999999	16.5
	0.8812499999999999	7.5		8.393749999999999	16.3
	0.25625	7		7.981249999999999	16.1
	0.4124999999999999	7.2		8.956249999999999	14.1
	1.0187499999999998	4.6		8.956249999999997	12.5
	1.7874999999999999	5.7		10.225	14.1
	2.0687499999999996	5.9		11.49375	15.5
	1.9	5.7		10.162500000000003	16.5
	1.31875	6.7		9.799999999999999	16.5
	1.6687500000000004	10.1		9.793750000000001	15.9
	0.9499999999999997	7.9		9.7375	16.6
	0.9999999999999999	8.1		10.94375	16.6
	2.0375	7.4		11.5875	15.5
	2.70625	8.4		11.643749999999997	13.2
	3.13125	6.8		11.518749999999999	14.2
	3.2687500000000003	4.9		11.968750000000002	12.2
	3.0687500000000005	3.1		11.0375	14.3
	2.50625	2.6		10.9875	9.2
Mar.	2.4312499999999995	1.5		11.35625	8.8
	2.7249999999999996	-0.3		13.925000000000002	10.9
	4.25625	2		12.86875	12.9
	3.75625	3.3		12.662499999999998	12.7
	3.325	3.1		12.581249999999999	13.4
	3.7312499999999997	3.2		12.81875	14.9
	3.89375	4		13.681249999999999	14.4
	3.3312500000000003	3.8		13.956250000000002	9
	3.8187500000000005	2.6		14.33125	12.8
	4.0375	3.3		14.193749999999998	14.5
	3.9750000000000005	3.1		12.843749999999996	16.1
	3.3625000000000003	1.7		13.1	6.6
	3.2250000000000005	-0.5		12.818749999999998	7.8
	3.5250000000000004	-2.3		13.700000000000001	7.1
	4.68125	0.1		15.0125	8.3
	5.9625	-0.6		14.825	4.2
	5.61875	2.3		14.250000000000002	9
	4.31875	1.1		13.387500000000001	11
	4.0375	-0.9		13.137500000000001	12
	4.8999999999999995	1.7		14.04375	14.5
	4.9375	7.8		13.762500000000001	17.6
	4.2562500000000005	8.6		14.06875	21.8
	4.68125	8.2		14.268749999999997	21.6
	4.825	9.5		15.4	21.6
	5.637499999999999	8.2		15.581250000000004	22.3
	5.53125	10.2		15.637500000000001	23.6
	4.9375	9.9		16.55625	19.7
	6.35625	9.5		16.31875	22.8
	5.825	5.7		15.593749999999998	7.2
	4.9624999999999995	4.8		15.362499999999999	6
	5.437500000000001	4.3		15.975000000000001	12
Apr.	5.693749999999999	3.2		16.075	16.5
	5.6375	5.9		15.075000000000003	18.2
	5.206250000000001	7.1		15.31875	19.7
	5.693749999999999	8.4		16.18125	21.3
	5.56875	9		15.906249999999996	16.5
	5.5562499999999995	4.7		16.125000000000004	17
	6.5874999999999995	4		16.974999999999998	17.2
	7.09375	4.2		18.056250000000002	17.1
	7.4624999999999995	6.8		17.21875	19.6
	6.91875	7.1		17.662499999999994	22.3
	7.493750000000001	8		17.049999999999997	22.4
	6.8062499999999995	8.6		16.40625	21.2
	6.90625	8.6		16.28125	22.3
	6.84375	11.2		16.125	19.3
	7.150000000000001	10.1		16.9	22.3
	7.218750000000001	10.3		16.699999999999996	22.4
	7.65	9.8		16.0375	22.2
	7.281249999999998	10.5		16.049999999999997	21.3
	7.618750000000001	13.1		16.1125	18.4
	7.643750000000001	10.1		17.11875	13.2
	7.018749999999999	10.6		17.300000000000004	17.7
	8.175	8.7		17.693749999999998	15.8
	8.36875	7.6		17.51875	17.9
	8.38125	7.3		18.893750000000004	20.7
	9.65625	8.1		19.224999999999998	20.7
	9.612499999999999	10.9		19.612500000000004	17.8
	9.650000000000002	10.1		19.668750000000003	18.1
	9.300000000000002	7.4		18.468749999999996	14.5
	8.3875	6.6		17.075	16.9
	8.181249999999999	6.4		17.674999999999997	13
May	8.187499999999998	4.5		16.087500000000002	11.2
	8.049999999999999	2.5		16.556250000000002	13.3
	7.718749999999999	3.1		17.50625	16.7
	7.98125	7.1		19.312499999999996	16.8
	9.287500000000001	7.7		18.737499999999997	15.9
	9.15	8.5		19.1125	20.7
	9.94375	9.3		20.51875	22
	10.462499999999999	11.8		20.181250000000002	25.9
	10.293750000000001	13.6		20.15	27
	9.656250000000002	14.7		19.19375	28
	9.7875	15.2		20.293750000000003	29.6
	10.18125	16.8		21.50625	29.6
	10.668750000000001	16.8		20.993750000000002	29.7
	10.33125	14.5		21.162500000000005	28.9
	10.45625	13.7		21.59375	28.3
	10.8875	14.1		21.31875	28
	11.031250000000002	15.3		21.0125	26.9
	11.387500000000003	11.9		21.3875	24.4
	12.36875	13.7		22.037499999999998	22.2
	12.750000000000002	9.2		22.962500000000002	20.4
	12.86875	10.2		22.46875	16.8
	12.13125	8.2		23.025000000000002	18
	12.606250000000001	9.4		22.693749999999998	23.1
	12.956249999999999	10.3		23.406249999999996	22
	12.9125	12		22.74375	25.7
	12.843750000000002	13.2		22.31875	19.2
	12.85	7.8		22.725	18.4
	12.668750000000001	8		22.875000000000004	20.1
	13.025000000000002	9.7		23.675000000000008	23.6
	13.175	12.5		23.562500000000004	27
	12.924999999999999	13.1		23.3125	26.6
Jun.	13.5375	12.2		23.593750000000004	27.4
	13.8125	13.2		23.76875	28.9
	13.325000000000001	15.6		24.3	30.2
	14.19375	17		24.881250000000005	32.9
	14.618749999999999	16.1		24.875	32.8
	14.587499999999999	16.6		24.89375	34.3
	14.624999999999998	17.3		25.7	35.8
	14.6	18.6		25.475	35.7
	14.05625	18.6		24.2625	36
	13.612499999999999	19.6		23.768750000000004	34.6
	14.100000000000001	17.1		26.18125	36.4
	14.999999999999998	19.1		26.493749999999995	37.4
	15.4	19.9		26.4	37.6
	15.19375	18.3		26.43125	36.9
	15.487499999999997	18.1		26.268749999999997	31.4
	15.69375	17.5		26.568749999999998	31.4
	14.506250000000001	17.7		26.20625	28.5
	15.31875	15.6		26.531250000000004	28.3
	15.393749999999999	17.8		25.51875	30.2
	15.125	13		25.975	30.7
	15.037499999999998	13.6		27.112500000000004	32.6
	15.743750000000002	15.5		26.681249999999995	32.5
	15.8	16		25.975000000000005	36
	14.775000000000002	17.6		25.99375	35.8
	14.60625	17.7		26.637500000000003	34.9
	15.356249999999996	17.5		27.181250000000002	37.8
	15.706249999999999	17		27.818749999999998	36.2
	15.943749999999998	17.2		27.168749999999996	36.6
	14.818749999999998	20.3		25.406250000000007	36.5
	14.731249999999998	18.4		26.006249999999994	37.8
Jul.	14.53125	19.1		25.575000000000003	35.2
	14.643749999999999	16.5		26.506249999999998	33.8
	15.293750000000003	17.5		26.70625	31.3
	15.474999999999998	16.8		28.03125	30.4
	16.34375	16.8		28.59375	30
	16.39375	14		28.55	30.1
	16.468749999999996	13.2		27.499999999999996	28.3
	15.950000000000001	11.8		26.781249999999996	29.8
	16.5375	12.8		27.025000000000006	29.2
	15.800000000000002	11.2		26.856250000000003	31.8
	15.749999999999998	16		26.4375	32.8
	15.525000000000002	16.7		26.456249999999997	27.6
	15.831249999999999	16.1		27.1125	28.7
	15.806249999999999	14.8		26.51875	34.9
	15.762500000000001	18.8		25.731250000000003	37.4
	15.48125	18.8		25.89375	37.8
	15.2125	18.6		28.025	30.2
	16.4375	17.6		28.468750000000004	31.4
	16.475	18.1		28.537499999999998	36.4
	16.55625	20.5		27.987500000000004	37.5
	16.64375	18.5		27.3375	35.5
	16.325	17.9		27.793750000000003	32.9
	15.887499999999998	17.5		26.931250000000002	31.1
	15.19375	15.4		26.8375	31.6
	15.43125	15		26.781250000000004	33.6
	15.506249999999998	19.3		27.662499999999998	36.9
	15.606250000000001	18.5		27.2625	34.8
	15.36875	17.5		27.506249999999998	35
	15.49375	17.4		29.13125	36.6
	16.21875	20.5		28.04375	38.8
	15.756250000000001	20.3		27.40625	38.7
Aug.	15.799999999999999	18.5		27.0375	37.3
	15.193750000000001	4.5		27.381249999999998	33.7
	15.575000000000001	1.2		27.54375	29.8
	15.793750000000003	18.8		27.624999999999996	30.3
	15.456250000000002		19.4	26.08125		35.8
	15.25		17.7	26.33125		27.8
	15.187500000000002		13.1	27.325		20.9
	16.00625		15.2	28.650000000000006		23.3
	15.98125		14.5	27.912499999999998		22.7
	15.181249999999999		15.1	27.03125		29.7
	15.00625		14.8	27.524999999999995		23.5
	14.718750000000002		16.1	26.912499999999998		26.4
	14.7875		14.7	25.174999999999997		25.9
	14.212500000000002		14.9	25.762500000000003		25.6
	14.712499999999999		14.7	25.4875		24.7
	14.4375		13.8	24.500000000000007		24.1
	13.637499999999996		13.3	24.7125		24.7
	13.118750000000004		13.2	22.9625		23.1
	13.03125		13.3	23.306250000000006		23.6
	12.943749999999998		13.3	24.5625		24.9
	13.25625		13.5	26.006249999999994		25.7
	14.55625		14.2	25.51875		24.2
	14.0875		13.5	24.456249999999997		24.5
	13.731250000000001		13.1	24.05625		24.8
	13		13.3	24.287499999999994		24.5
	12.98125		13.3	23.318749999999998		23.3
	13.818750000000001		13.5	23.693749999999998		23.8
	13.006250000000001		12.9	23.912499999999998		23.6
	12.881250000000001		12.6	24.137500000000003		23.3
	13.375		13	23.618750000000002		23.5
	13.049999999999999		13.2	22.112500000000004		21.9
Sep.	12.775000000000002		12.5	23.5625		22.8
	13.04375		12.5	22.76875		22.7
	12.35		12.4	22.249999999999996		21.6
	12.006250000000001		12	21.037499999999998		21.4
	11.306249999999999			20.368750000000002
	11.16875			22.031250000000004
	10.8625			22.2
	10.7375			20.974999999999994
	10.600000000000001			20.75625
	10.531249999999998			20.33125
	10.50625			19.937499999999996
	10.374999999999998			20.275000000000002
	10.38125			20.724999999999998
	10.368749999999999			20.0875
	9.756250000000001			19.79375
	9.737499999999999			19.306250000000002
	9.65625			19.81875
	10.73125			19.837500000000006
	10.34375			19.41875
	9.45			19.275000000000002
	9.50625			18.4875
	8.9375			18.38125
	8.55625			16.9625
	9.518749999999999			18.075
	9.40625			18.362499999999997
	9.762500000000001			18.30625
	9.06875			18.093749999999996
	8.968750000000002			17.7
	8.50625			17.175
	8.26875			16.799999999999997
Oct.	7.9625			16.69375
	8.306249999999999			16.8875
	8.54375			17.843749999999996
	9.275			17.83125
	9.593750000000002			17.94375
	9.849999999999998			16.99375
	9.05625			16.18125
	8.30625			16.20625
	8.5			16.4375
	8.237499999999999			15.837499999999999
	8.962499999999999			16.512500000000003
	8.65625			17.16875
	8.09375			15.706250000000002
	7.5874999999999995			15.3625
	7.3			14.856250000000001
	7.3687499999999995			14.5125
	7.46875			15.581249999999999
	6.64375			15.362499999999999
	7.675000000000001			15.26875
	7.331250000000001			13.7
	7.168749999999999			13.343749999999998
	6.450000000000001			13.21875
	6.393750000000001			13.018750000000002
	5.524999999999999			12.956249999999999
	5.525			12.424999999999999
	5.581250000000001			12.087500000000002
	5.581250000000001			12.00625
	5.54375			12.518749999999999
	6.15625			12.631249999999998
	5.562499999999999			12.18125
	5.5125			11.5375
Nov.	4.231249999999999			10.75
	3.1624999999999996			10.0625
	2.76875			9.9
	3.26875			10.218750000000002
	3.24375			9.6375
	2.7812500000000004			9.58125
	2.7624999999999997			9.543750000000001
	2.750000000000001			8.875
	3			8.493749999999999
	2.5312499999999996			9.274999999999999
	2.7749999999999995			8.612499999999999
	2.8375000000000004			8.287500000000001
	1.9875			8.481250000000001
	2.28125			8.0625
	1.5			7.36875
	1.4875			6.50625
	1.05			6.206250000000001
	-0.031249999999999944			5.4125
	-0.6375000000000002			5.393749999999999
	0.28125000000000006			6.318749999999999
	0.7749999999999999			6.887499999999999
	1.7500000000000002			6.825
	1.94375			8.243749999999999
	1.7750000000000001			7.937500000000001
	1.16875			6.887500000000001
	0.5			6.36875
	0.825			6.956250000000001
	0.2624999999999999			6.225
	0.13124999999999998			6.20625
	1.59375			7.40625
Dec.	1.9812499999999997			7.550000000000001
	2.64375			7.637499999999998
	2.11875			7.937499999999999
	1.75			7.9875
	2.85			8.2375
	3.09375			7.781249999999999
	2.9625			7.637500000000001
	3.69375			9.13125
	3.9437499999999996			9.700000000000001
	2.9437499999999996			8.618749999999999
	1.875			8.131250000000001
	1.5562500000000001			6.975
	0.74375			6.9875
	1.0312499999999998			6.78125
	0.8999999999999999			6.3625
	1.10625			6.86875
	1.7266666666666663			8.18

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

13 Aug. 26

-6°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust34.55°C

Coldest MonthJanuary0.42°C

Wettest MonthMay3.86mm

Windiest MonthAugust23.72km/h

Vienne 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 Vienne historically?

August is historically Vienne's hottest month, with average maximum temperatures around 28°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2025-08-13.

2. What is the coldest month in Vienne historically?

January is Vienne's coldest month, with average minimum temperatures around 0°C. The all-time record low of -15°C was recorded on 2010-01-11.

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

Vienne's average annual rainfall is approximately 963.7mm, based on records spanning 17 years.

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

Vienne historically records approximately 177.9 rainy days per year. November has the highest number of rain days at an average of 16.3 days.

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

The all-time highest temperature recorded in Vienne is 39°C on 2025-08-13.

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

The all-time lowest temperature recorded in Vienne is -15°C on 2010-01-11.

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

Vienne experiences its strongest winds during February. The historic gust record of 68.8 kph was recorded on 2026-08-17.

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

Usually, Vienne's humidity peaks in December at around 85.6% and drops to its lowest in August at approximately 66.6%.

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

Vienne Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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

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

Vienne Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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

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