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

Ingolstadt Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.6437500000000002	-4.6		5.1	0.4
	-1.5312499999999998	-1.3		3.7375000000000003	1.2
	-0.9749999999999995	-5.3		3.624999999999999	-0.9
	-0.8312500000000002	-6.6		3.975	-1.5
	-1.4250000000000003	-9.4		3.25625	-3
	-1.7000000000000002	-11.6		2.8125000000000004	-3.6
	-1.8375	-9.7		3.08125	-4
	-1.13125	-9		3.3000000000000003	-0.1
	-0.8062499999999999	-2.7		4.1125	2.8
	-1.7312499999999997	-0.6		3.2	1.2
	-2.8625	-7.8		2.5437499999999997	-2.1
	-2.125	-7.2		2.5937499999999996	2.4
	-2.025	0.1		3.1312499999999996	3.6
	-2.1625	-0.9		3.1625	5.1
Jan.	-2.8187499999999996	0.7		2.4250000000000003	6.2
	-2.56875	-1.1		2.6874999999999996	2.7
	-3.2125	0.4		2.4125	3.1
	-3.23125	-1.4		2.28125	3.7
	-4.124999999999999	-2.7		1.7812500000000002	3.3
	-4.362500000000001	-3.8		1.5749999999999997	2.5
	-4.7250000000000005	-5.5		1.4124999999999999	2.2
	-4.21875	-5.7		2.2187500000000004	1
	-3.2625	-6.2		1.63125	0.9
	-2.725	-4.5		2.53125	-0.4
	-2.9562500000000003	-4.6		2.31875	1.3
	-3.0812500000000007	-1		2.6	1.6
	-3.006249999999999	-7.4		3.0687499999999996	1
	-1.75	-2.1		3.34375	2.7
	-2.068750000000001	-0.8		3.8937500000000003	2.7
	-2.5250000000000004	-2.1		4.16875	3.1
	-1.9687500000000002	-1.2		3.8375	3.4
	-1.4000000000000006	-0.4		3.58125	1.1
	-1.5000000000000002	-3.2		4	3.7
	-1.5625000000000002	-2.7		3.7062500000000003	2.6
	-2.2375000000000003	-1.9		3.8874999999999993	3.4
	-2.91875	-1.3		3.7874999999999996	4.1
	-2.66875	-0.9		3.775	4.4
	-3.2812500000000004	3		3.575	7.6
	-3.01875	1.2		4.0375000000000005	6.7
	-3.3624999999999994	0.3		3.9875	4.1
	-3.062500000000001	-0.5		3.7125	8.5
	-3.43125	1.8		3.01875	8
	-3.7125000000000004	3		2.70625	9.5
	-4.175	2.6		3.7249999999999996	8.3
	-3.618749999999999	-0.7		4.44375	5.6
Feb.	-2.7937499999999997	-2.5		5.4125000000000005	1
	-1.80625	-1		6.574999999999999	3.6
	-0.25000000000000006	0.4		6.38125	3.5
	-0.3750000000000003	-1.9		6.9375	2.6
	-0.98125	0.1		5.48125	2.5
	-1.1937499999999996	-4.9		6.59375	2.4
	-0.875	1.6		7.1937500000000005	7.3
	-0.525	6.5		6.98125	10
	-0.5937499999999998	7.8		7.5625	10.5
	-1.0625	5.4		7.54375	8.5
	-0.7812499999999998	2.6		7.074999999999998	11.6
	-1.74375	3.4		6.324999999999999	14.5
	-1.525	5.2		6.062499999999999	15.9
	-0.9312499999999999	4.9		6.168749999999999	14.5
	-0.925	6.2		7.11875	9.8
	-0.60625	5.3		7.187499999999999	12
	-0.5625	2.9		8.575	11.7
	-0.4812499999999999	3.4		8.862499999999999	12.3
	-0.5437500000000001	2.8		7.40625	13.9
	-1.0625	2.6		7.2	14.1
	-0.63125	3.3		7.6125	14.1
	-1.2625000000000002	3.8		8.475	13.8
	0.31874999999999987	5.2		9.29375	13.6
	0.36875	5.2		9.656250000000002	15
	0.3125	5.7		9.03125	15.1
	0.7687499999999999	6.8		9.424999999999999	10.1
	1.5375000000000003	2.1		9.806249999999999	14.6
	1.1125	3.1		8.73125	11
Mar.	1.0250000000000001	2.2		8.56875	6.1
	1.3187499999999999	0.5		10.53125	9.5
	1.1124999999999998	1.1		11.28125	8.5
	1.325	-0.6		10.356249999999996	11
	1.5875	1.6		10.462499999999999	12.4
	1.2	1.8		11.468750000000002	12.3
	1.375	3.9		11.80625	10.1
	1.63125	0.7		11.275	12.2
	1.20625	1.2		11.0875	12.4
	1.375	2.7		11.975	13.6
	1.2000000000000002	2		11.287500000000001	12.6
	1.5687499999999999	-0.7		10.162499999999998	4.9
	1.40625	-2.6		10.593749999999998	6.9
	1.3125000000000002	-1.7		13.1125	9.4
	3.41875	-0.9		13.20625	6.4
	3.6125	-0.9		14.01875	4.8
	3.5812500000000003	0.4		12.656250000000002	4
	3.2187499999999996	-1.3		12.0375	7.7
	2.35	-1.2		11.543749999999998	11.7
	2.35	0.2		13.106250000000001	12
	2.6875	4.6		12.6625	11.4
	2.9125	4.6		12.39375	20.3
	3.00625	5.3		12.174999999999999	14.5
	3.15625	3.5		13.631250000000001	16.5
	3.6687499999999993	1.5		13.493749999999999	15.1
	3.75	1.7		14.668750000000001	14.2
	3.6874999999999996	5.8		14.425	10.9
	4.35625	4.2		14.556249999999999	15.5
	3.9124999999999996	5.1		14.262500000000001	9.2
	4.39375	6.6		13.83125	16.3
	4.05	7.3		14.325	8.7
Apr.	4.1	7.1		14.031250000000002	13.8
	4.0875	9.2		13.99375	16.8
	4.1187499999999995	6.1		13.98125	19.2
	4.0687500000000005	9.2		12.89375	19.7
	3.8375000000000004	5.1		14.3125	15.6
	4.437499999999999	3.2		14.806249999999999	13.2
	4.40625	0.4		16.137500000000003	10.7
	5.1375	0.7		16.456249999999997	13.9
	5.3374999999999995	1.4		15.812500000000002	17.2
	5.0375	2.8		16.34375	17.8
	5.5375000000000005	4.1		15.8625	19.2
	5.374999999999999	3.7		14.08125	17.5
	4.725	2.8		14.868750000000002	17.5
	5.1625	6.4		15.8875	18.7
	6.3062499999999995	5		17.512500000000003	16.2
	7.23125	1.7		17.36875	14
	7.193750000000001	2.5		16.9875	18.6
	7.2625	4.9		16.63125	22.7
	7.124999999999999	7.3		15.46875	24.3
	6.0875	9.5		15.350000000000003	22.4
	6.225	11.3		16.05625	21.5
	6.193750000000001	7.4		16.1375	18.2
	6.606249999999999	7.1		16.41875	13.3
	6.731249999999998	4.2		17.537499999999998	18
	7.80625	6.7		18.724999999999998	20
	8.4	7.3		19.125	20.7
	8.41875	6.2		19.256249999999998	17.9
	8.487499999999999	2.3		18.012500000000003	10.2
	7.7625	0.6		16.43125	13.8
	7.206250000000001	5.4		16.4875	12.2
May	6.918749999999999	4.6		16.24375	12.8
	6.8062499999999995	3.1		16.05	14
	7.4437500000000005	2.3		16.5875	15.6
	7.01875	3.9		17.69375	17.9
	7.19375	6.5		19.25625	17.5
	8.55625	8.9		18.818749999999994	16.8
	9.312500000000002	8.4		19.3625	19.8
	9.549999999999999	8.6		19.824999999999996	23.2
	9.418750000000001	11		19.825	26
	9.231249999999998	14.5		18.4125	28.6
	9.19375	14.5		18.193749999999998	28
	9.737500000000002	13.7		18.800000000000004	28.5
	9.24375	15.4		18.83125	28.5
	9.375	10.4		19.15	24.2
	9.50625	8.8		19.181250000000002	25.8
	9.299999999999999	13.4		19.59375	27.2
	9.93125	12.9		20.11875	25.3
	10.237499999999999	13.3		19.40625	22.4
	11.031249999999998	11.2		19.875	23.9
	11.075	11.2		21.337500000000002	18.2
	11.656249999999998	10.2		22.599999999999998	22
	12.06875	10.7		22.29375	19.3
	11.412500000000001	7.9		21.643749999999997	22.2
	11.90625	11.6		21.875000000000004	22.4
	11.531250000000002	9.8		21.712500000000002	25.7
	11.3875	10.9		21.918749999999996	16.9
	12.206250000000002	8.4		22.00625	14
	12.425	5.7		22.075000000000006	15.8
	12.10625	8.5		22.206249999999997	13.9
	11.743750000000002	13.8		21.05	24.1
	10.999999999999998	11.3		21.931250000000002	18.6
Jun.	11.881249999999998	8.5		21.981249999999996	20.8
	12.318750000000001	8		21.618750000000002	18.5
	12.53125	11.9		23.19375	24.4
	12.799999999999999	14.7		23.675	28.8
	13.375	16.4		24.343749999999996	32.1
	13.587500000000004	16.6		23.25625	30.7
	12.6375	16.1		23.406250000000004	32.5
	12.956249999999997	16.3		23.575000000000006	31.1
	13.206249999999999	16		22.200000000000003	30
	12.3625	18		22.624999999999996	31
	12.418750000000001	18.1		23.30625	32.5
	12.99375	18.8		24.53125	33.2
	13.45625	18.9		23.35625	35
	13.3375	18.8		24.23125	35.4
	13.88125	18		24.525	30
	14.168750000000001	17.3		24.518749999999997	29.7
	13.424999999999999	16		23.781249999999993	19.4
	12.950000000000003	12.6		23.83125	25.7
	13.250000000000002	14.5		24.06875	23.8
	13.799999999999999	11.3		24.04375	24.9
	13.91875	13.8		24.993750000000002	24.7
	14.056250000000004	13.1		25.48125	24.7
	14.087499999999997	14.3		24.062499999999996	30.1
	12.943749999999998	15.1		22.1875	22.5
	12.6625	13.1		23.4125	26.3
	13.624999999999998	13		23.981250000000006	28.5
	13.6625	14		24.618750000000002	29.5
	14.09375	13.3		24.525	27.8
	13.75625	14.5		23.356250000000003	30.2
	13.375	17		23.275000000000002	30.5
Jul.	13.375	14.9		23.44375	25
	12.999999999999998	15.1		23.96875	29.1
	13.4625	15.4		24.549999999999997	28.8
	14.15625	13.5		24.893750000000004	26.3
	14.237499999999997	12.7		26.7875	22.9
	15.031249999999998	9.7		26.4625	23
	15.224999999999998	9.3		24.549999999999997	22.6
	14.937500000000002	10		25.68125	23.5
	14.481250000000003	10		24.85625	21.1
	14.6	8		24.1	24.9
	14.1125	10.5		24.837500000000006	30.7
	14.55	15.1		23.762500000000003	28.8
	14.60625	15.4		24.281249999999996	24.5
	14.956250000000002	12.4		24.125	28.7
	14.625000000000002	13.5		23.88125	34.6
	14.1875	17.4		23.343749999999996	36.1
	13.887500000000001	16.9		24.53125	35.9
	14.693750000000001	16.4		24.93125	28.4
	14.875	14		25.7	29
	14.9625	16.9		24.84375	35.8
	14.806250000000002	17.2		24.61875	36.4
	14.862499999999999	17.3		24.9	33.5
	14.275	18.7		23.6625	29.4
	13.737499999999999	15.8		24.225	27.4
	14.0125	12.7		25.137500000000003	29.9
	14.325000000000003	14.1		25.118750000000002	32.8
	13.687500000000002		15.8	23.931249999999995		33.8
	13.4875		15.7	24.193749999999998		31.3
	13.69375		14.3	24.374999999999996		31.2
	14.71875		13.7	24.706249999999997		31.8
	14.606249999999998		12.9	25.481250000000003		32.6
Aug.	14.65625		14.5	24.831250000000004		34.4
	14.081249999999999		17	24.30625		36.6
	14.04375		16.5	24.4125		30.8
	14.25		14.3	24.543749999999996		24.8
	14.18125		14.1	23.19375		23.7
	13.625		14	23.85000000000001		24.8
	13.856250000000001		14	24.731250000000003		24.3
	14.218749999999998		13.9	25.156249999999996		24.2
	13.775		13.5	23.837500000000006		24.3
	13.287500000000001		13.4	24.200000000000003		24.4
	13.174999999999999		13.2	23.35625		23.3
	13.518750000000002		13.7	23.99375		24
	13.531249999999998		13.4	22.43125		22.8
	13.262500000000003		13.5	22.112499999999997		23.1
	12.643750000000002		12.9	23.168750000000003		22.2
	13.375000000000002		12.9	22.618750000000002		22.4
	12.70625		12.3	21.50625		21.1
	11.837499999999999		11.9	20.281250000000004		20.9
	11.45		11.6	19.75		20.1
	11.718750000000002		12	21.368750000000002		21.7
	12.0625		12.5	22.662499999999998		22.4
	12.643750000000002		12.2	21.54375		21.2
	11.543750000000001		11.3	21.962500000000006		21.1
	12.056249999999999		11.4	20.5		21.2
	11.19375		11.2	21.343750000000007		21.9
	11.374999999999998		11.4	21.437499999999996		21
	11.175000000000002			20.7125
	11.26875			21.38125
	11.6375			20.78125
	11.324999999999998			20.206250000000004
	11.325000000000001			19.593750000000007
Sep.	11.0875			19.575000000000003
	10.35625			19.2
	10.243749999999999			18.79375
	9.625			18.475
	9.125			18.268749999999997
	9.14375			18.181249999999995
	8.593750000000002			19.075
	7.65625			17.506249999999998
	8.41875			18.087500000000002
	8.325000000000001			17.706250000000004
	8.25625			17.65625
	8.699999999999998			18.037499999999998
	8.918750000000001			17.63125
	8.74375			17.224999999999998
	8.13125			16.93125
	7.76875			16.224999999999998
	7.4937499999999995			16.5375
	7.5375000000000005			16.700000000000003
	7.35625			16.85
	6.45			15.618749999999997
	7.087500000000001			15.38125
	7.2			14.887500000000001
	7.6375			15.037499999999998
	7.562499999999999			15.087499999999999
	6.90625			15.393749999999999
	6.849999999999999			15.4875
	6.35625			15.4
	5.993749999999999			14.387499999999998
	5.8812500000000005			14.65625
	5.487500000000001			14.3625
Oct.	5.4937499999999995			13.90625
	6.05625			13.543750000000001
	5.5687500000000005			14.275000000000002
	5.85			14.825
	5.768750000000001			13.937499999999998
	6.112500000000001			14.606250000000001
	6.35625			13.774999999999997
	5.2562500000000005			12.625
	5.20625			12.975
	5.956250000000001			12.674999999999997
	6.18125			13.125
	5.593750000000001			13.543750000000001
	5.462499999999999			12.025
	4.593749999999999			11.487499999999999
	3.8312500000000007			12.09375
	4.275			11.50625
	4.2749999999999995			12.14375
	4.225			12.062500000000002
	4.275			12.006250000000001
	4.6187499999999995			11.006250000000001
	4.8187500000000005			11.774999999999999
	4.30625			10.775000000000002
	4.106249999999999			10.61875
	4.0625			10.418749999999998
	3.5500000000000003			9.91875
	2.8124999999999996			9.631249999999998
	2.54375			8.7125
	2.15625			8.825
	2.5375			8.931250000000002
	2.8375			8.99375
	2.125			8.16875
Nov.	2.3062500000000004			8.299999999999999
	1.1499999999999997			7.38125
	1.5687499999999999			7.074999999999999
	1.8375000000000004			7.206250000000001
	1.48125			6.9375
	1.125			6.50625
	0.3374999999999999			6.075
	-0.15000000000000002			5.31875
	-0.42500000000000004			5.6625000000000005
	0.31249999999999994			5.875
	-0.5249999999999999			4.8125
	-0.26249999999999996			4.612500000000001
	-0.53125			4.40625
	-0.60625			4.093750000000001
	-0.9937499999999998			3.8625000000000007
	-1.0499999999999998			2.9250000000000003
	-1.2500000000000002			3.55625
	-2.13125			2.9749999999999996
	-2.775			2.31875
	-2.5250000000000004			2.94375
	-1.9937499999999995			3.6375
	-0.8124999999999998			3.39375
	-0.32499999999999984			4.53125
	-0.6750000000000002			4.0562499999999995
	-0.8499999999999999			3.80625
	-1.59375			3.175
	-0.33749999999999986			3.5875
	-0.9187500000000001			3.3999999999999995
	-2.0687499999999996			3.2625
	-1.2062500000000003			3.50625
Dec.	-0.7000000000000001			3.9
	-0.7999999999999999			3.7999999999999994
	-1.06875			4.11875
	-1.5187500000000003			4.5687500000000005
	-1.0999999999999999			4.3625
	-0.9062500000000001			4.487500000000001
	-0.7000000000000002			4.13125
	0.21249999999999994			5.1
	1.66875			6.4625
	1.7125000000000004			6.2625
	0.825			5.5875
	-0.21250000000000002			4.768750000000001
	-0.7937499999999998			4.2562500000000005
	-2.1125			3.58125
	-2.0374999999999996			2.8625000000000003
	-1.8312500000000003			4.0687500000000005
	-0.6866666666666666			5.113333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

4 Aug. 26

-12°C

Lowest Temp

6 Jan. 26

Seasonal Breakdown

Hottest MonthAugust31.4°C

Coldest MonthJanuary-4.05°C

Wettest MonthJune3.03mm

Windiest MonthAugust20.51km/h

Ingolstadt 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 Ingolstadt historically?

August is historically Ingolstadt's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2022-07-20.

2. What is the coldest month in Ingolstadt historically?

January is Ingolstadt's coldest month, with average minimum temperatures around -2°C. The all-time record low of -20°C was recorded on 2012-02-06.

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

Ingolstadt's average annual rainfall is approximately 763.5mm, based on records spanning 17 years.

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

Ingolstadt historically records approximately 200.6 rainy days per year. August has the highest number of rain days at an average of 17 days.

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

The all-time highest temperature recorded in Ingolstadt is 36°C on 2022-07-20.

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

The all-time lowest temperature recorded in Ingolstadt is -20°C on 2012-02-06.

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

Ingolstadt experiences its strongest winds during February. The historic gust record of 50.4 kph was recorded on 2026-07-31.

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

Usually, Ingolstadt's humidity peaks in January at around 87.9% and drops to its lowest in July at approximately 74.03%.

Recent Blogs On Weather

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

Ingolstadt 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

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

Ingolstadt 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

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