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

Lindau Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.0249999999999995	-4.6		5.1812499999999995	1.5
	-1.59375	-1.8		4.2562500000000005	1.3
	-1.3875000000000002	-9.9		3.93125	-0.2
	-1.3562499999999997	-9.4		4.075	-1.6
	-1.4437499999999994	-10.7		3.95	-3.7
	-2.0625000000000004	-11.1		3.4312499999999995	-3.6
	-1.84375	-11.5		3.78125	-3.1
	-1.23125	-6.3		4.1000000000000005	0.7
	-1.4749999999999996	-2.6		4.44375	5
	-1.7875000000000003	-1		2.99375	1.7
	-2.1500000000000004	-10.8		3.2437500000000004	-0.7
	-1.6625	-9.3		3.05	3
	-2.0312500000000004	-1.1		3.4687500000000004	4.8
	-2.74375	-1.5		2.9874999999999994	5.5
Jan.	-2.8625	-0.4		2.66875	7.1
	-3.337500000000001	-2.2		2.9250000000000003	6.8
	-3.0812500000000003	-1.8		2.53125	3.8
	-4.2125	-2.7		2.2624999999999997	4.1
	-4.724999999999999	-1.6		1.99375	5.3
	-3.7125000000000004	-3.3		1.6187500000000001	4.5
	-3.76875	-4.5		1.3375	4.1
	-4.074999999999999	-3.3		2.51875	3.8
	-3.9000000000000004	-2.3		1.91875	4.4
	-4.0875	-1.9		2.50625	5.2
	-3.0250000000000004	-2.8		2.93125	2.5
	-3.5	0.5		3.0375	3.1
	-2.8375000000000004	-4.7		4.0375000000000005	5.7
	-1.7999999999999998	-0.4		3.2125	1.6
	-1.9250000000000003	-0.1		3.8874999999999997	1.3
	-1.86875	-5.3		4.4875	2.8
	-1.26875	-4		4.0249999999999995	3.5
	-1.3750000000000007	-2.4		4.00625	3.4
	-0.5187499999999998	-2.8		4.04375	5.6
	-1.5875000000000001	-1		3.8249999999999997	7
	-2.6625000000000005	-2.2		3.9250000000000003	2.9
	-2.8875	-1.2		4.1875	5.8
	-3.0999999999999996	0		4.0125	4.7
	-3.1187500000000004	0.5		3.4937500000000004	6.7
	-3.1	-0.2		4.40625	7.8
	-3.2187499999999996	-1.8		4.0875	5
	-3.4000000000000004	-1.2		3.7812499999999996	6.1
	-3.3937500000000003	0.3		2.88125	6.3
	-4	2.3		3.28125	7.5
	-4.675000000000001	2.2		3.6250000000000004	7.7
	-4.0625	-0.1		4.5687500000000005	3.5
Feb.	-3.0375000000000005	-2.6		5.44375	1.8
	-1.4624999999999997	1		6.5125	4.6
	-0.2937499999999997	0.7		6.2375	3.1
	-0.5062500000000001	-3.1		6.81875	3
	-1.03125	-1.6		5.56875	3.6
	-1.31875	1.2		6.3375	3.4
	-1.0625	1.2		6.3375	5.4
	-0.76875	1.8		7.199999999999999	9.7
	-1.0437500000000006	3.5		6.95625	9
	-1.025	4.9		7.275	7.5
	-1.0499999999999998	3.3		6.656249999999999	11.4
	-2.1312500000000005	3.5		5.237500000000001	14.1
	-1.98125	4.7		5.575	15.4
	-1.2	4.3		6.387499999999999	12.3
	-1.40625	4.7		6.05	9.1
	-0.5875000000000001	2.3		6.48125	11.7
	-0.99375	3.1		8.4625	11.5
	-0.19375000000000003	2.8		7.837500000000001	11.8
	-0.16874999999999996	2.7		7.0062500000000005	13.3
	-1.125	3.9		6.3374999999999995	13.4
	-1.0562500000000001	3.9		6.462499999999999	12.4
	-1.5687499999999994	4.7		7.2375	13.4
	-0.60625	5.8		8.64375	12.3
	0.2812500000000001	4.6		8.75	12.8
	0.018750000000000128	6.3		8.34375	14.3
	0.3374999999999999	4.5		9.24375	9.5
	0.925	2		9.375	12.8
	0.6437499999999999	1.3		8.325	7.3
Mar.	0.575	0.7		8.950000000000001	4.8
	0.875	-1.5		10.456249999999999	8.5
	1.1	0.8		11.212499999999999	9.7
	1.41875	-0.8		9.975	10.3
	1.6	0.2		9.73125	12.1
	1.25625	0.1		10.18125	11.8
	1.20625	0.4		10.856250000000003	10.8
	1.725	1.2		10.74375	11.3
	1.68125	3.5		11.318750000000001	10.9
	1.31875	1.6		11.65625	11.8
	1.2937499999999997	2.2		10.60625	13.6
	1.25	-2		9.76875	2.4
	1.06875	-5.2		10.475	3.3
	1.5625	-7		11.687500000000002	4.8
	2.5999999999999996	-3.2		12.343750000000002	3.6
	3.4375	-2.5		13.649999999999999	4.1
	3.243750000000001	-0.3		12.16875	2.1
	2.2937499999999997	-7.3		11.825	5.4
	1.9562499999999998	-3.1		11.612499999999999	7.6
	2.58125	-1.7		12.70625	11.1
	2.1125	3.1		11.69375	13.6
	2.96875	3.9		11.725000000000001	19.6
	2.7812499999999996	8.8		12.55	15.6
	3.24375	5.9		13.65	17.3
	4.168749999999999	6.2		13.481250000000001	17.6
	3.64375	5.5		13.531249999999998	17.7
	3.70625	8.5		13.774999999999997	12.1
	4.11875	6.3		14.225	18.8
	4.012500000000001	7.4		13.78125	10.4
	4.2375	7.1		13.24375	8.9
	4.599999999999999	6.1		13.812500000000004	6.9
Apr.	3.9937500000000004	4.5		13.7125	14
	4.08125	8.4		13.40625	15.9
	4.2749999999999995	5.6		13.587499999999999	16.9
	3.75	6.9		12.962499999999997	18.9
	3.5749999999999997	8.1		13.53125	14.8
	3.875	4.6		13.93125	13.6
	4.70625	2.3		15.125	13.5
	5.2875	0.9		16.16875	15.4
	6.15625	1.4		15.575	17.6
	5.45	2.9		15.762500000000001	17.6
	5.9875	5		15.356250000000001	19.1
	5.21875	6.4		14.081249999999999	19.3
	5.2125	5.5		14.343749999999998	18.8
	5.299999999999999	7.6		14.799999999999997	19.4
	6.29375	6.9		15.95625	17.5
	6.9437500000000005	2.9		16.15	18.1
	6.937499999999999	3		15.524999999999999	18.4
	7.08125	7.2		15.031249999999998	21.2
	7.200000000000001	8.9		14.831249999999999	20.4
	6.575	9.5		14.700000000000003	20.9
	6.8062499999999995	7.7		15.612499999999999	16.7
	6.8687499999999995	8		15.45625	15.8
	7.356249999999999	6.2		15.31875	14.5
	7.49375	4.8		17.19375	18
	8.0875	7.5		18.081249999999997	19.7
	8.593749999999998	9.5		18.187499999999996	19.3
	8.575	7.2		19.156249999999996	11.3
	8.799999999999999	2.2		17.625	10.4
	7.937499999999999	1.2		15.874999999999998	14.1
	8.237499999999999	4.7		15.44375	9.1
May	6.968750000000001	2		15.274999999999997	9.5
	6.9937499999999995	3.7		14.8	11
	7.175	1.5		15.24375	14.3
	7.83125	4.7		17.718749999999996	13.5
	8.075	4.2		17.799999999999997	16
	8.93125	8.2		17.775000000000002	16.9
	9.13125	8.1		18.375	21
	9.387500000000001	9.1		18.59375	22.5
	9.875	10.9		19.325	24.6
	9.318750000000001	12.5		17.193750000000005	27.8
	9.250000000000002	13.8		18.475	27.2
	9.51875	15.2		18.825000000000003	27.1
	9.843749999999998	15		18.525	27.5
	9.856249999999998	13.1		19.481250000000003	25.6
	10.425000000000002	11.7		18.825000000000003	25.8
	9.875	11.7		18.875	26.2
	9.9625	13.4		19.08125	25.3
	10.45	12.7		18.64375	21.3
	11.174999999999999	11.8		19.562500000000004	22.6
	11.85	10.2		21.10625	16.8
	11.85625	9.5		21.925	20.2
	12.08125	8.7		20.887499999999996	17.9
	11.662500000000001	7.9		20.818749999999994	20.3
	12.468750000000002	10.6		21.418749999999996	21.2
	12.062499999999996	11.6		21.425	23.5
	12.043750000000003	11.1		20.975	14.5
	12.362500000000002	7.3		21.25625	14
	12.76875	6.7		21.718749999999996	16
	12.88125	9.1		21.4875	12.4
	12.5125	11.5		20.950000000000003	24.9
	12.331250000000002	12.7		21.7	22.6
Jun.	12.631249999999998	10.1		21.5625	22.4
	12.649999999999999	11.5		21.424999999999997	24.4
	12.625	13.3		23.193750000000005	27.2
	13.3	14.8		22.6125	28.4
	13.33125	17		24.099999999999998	29.5
	13.7875	14.8		23.20625	29.2
	13.762499999999998	17.8		22.66875	30.2
	13.675	17.1		22.975	30.2
	13.35625	17		21.85625	30.6
	13.00625	17.6		21.799999999999997	30
	13.39375	18		22.975	32.5
	13.800000000000002	18.3		23.837500000000002	31.5
	14.143749999999999	19.2		23.218750000000004	32.3
	13.85625	16.8		23.6875	31.9
	14.21875	17.2		23.743750000000006	27.9
	14.7375	16.1		23.693749999999998	26.6
	14.487499999999999	14.4		23.40625	20.4
	14.006249999999998	10.7		23.34375	23.7
	14.575000000000001	13.4		23.362500000000004	23.2
	14.368749999999999	12.2		22.94375	24.2
	14.281249999999998	13.3		23.618750000000002	26
	14.4625	13.1		24.787499999999998	25.2
	14.6375	15.6		22.825	28.4
	13.812499999999996	14.7		21.687499999999996	24.5
	13.68125	14.3		23.618749999999995	26.7
	14.193750000000003	14.5		23.8	29.6
	14.481250000000001	15.7		24.037499999999994	29
	14.6625	15		24.281250000000004	28.5
	14.281249999999998	14.6		22.59375	29
	13.7875	16.3		22.587500000000002	30.7
Jul.	14.262499999999998	16		22.40625	26.9
	14.024999999999999	14.9		22.937500000000007	28.1
	14.28125	15.4		23.2875	26.9
	14.55	14.9		24.14375	24.9
	14.274999999999999	13.3		25.83125	21.4
	15.443750000000001	11.5		25.2	23
	15.13125	12.4		23.81875	22.2
	15.44375	9.7		24.075000000000003	22.8
	14.906250000000004	12.3		23.112499999999997	22.8
	14.506250000000001	10		22.968750000000004	24.3
	14.256250000000001	12.7		22.98125	27.4
	14.20625	14		22.293749999999996	24.3
	14.80625	15.6		23.237499999999997	23.8
	15.012500000000001	14.2		23.34375	26.9
	14.468749999999998	17.3		22.212499999999995	31.5
	14.50625	19.1		22.406250000000004	32.6
	14.662500000000001	16.8		24.25625	30.6
	14.71875	16		24.743749999999995	27.8
	15.05	16		24.725	28.6
	15.312499999999996	17.7		23.66875	32.8
	15.193749999999998	17.6		23.612499999999997	32.3
	15.262500000000003	16.8		24.093749999999996	29.1
	14.475000000000001		17.7	22.881249999999998		25.9
	14.212500000000002		14.9	23.3		26.9
	14.381250000000001		14.2	23.687500000000004		26.9
	14.581250000000002		16.9	23.812499999999996		30.5
	14.243749999999999		16.6	23.375		30
	14.406250000000002		15	23.268749999999997		29.3
	14.643750000000002		16.4	24.068749999999994		28.5
	14.674999999999999		16.3	24.0875		31.2
	14.643749999999999		14.7	24.425		24.4
Aug.	14.73125		14.8	23.3125		23.8
	14.112499999999999		14.3	23.3125		23.2
	14.549999999999997		14.5	23.075		23.1
	14.756250000000003		14.6	23.424999999999997		23.6
	14.506250000000003		14.5	22.156249999999996		22.9
	14.231250000000003		14.8	22.24375		23.3
	14.237499999999999		14.3	23.9375		23.7
	14.387500000000001		14.2	24.48125		23.7
	14.568749999999998		14.2	23.893749999999997		24.2
	14.06875		14.2	23.643749999999997		24.1
	13.799999999999999		13.6	22.549999999999997		22.3
	13.343749999999996		13.6	23.256249999999998		23
	13.95625		13.7	21.043750000000003		21.8
	13.100000000000001		13.6	21.31875		22
	13.56875		13.4	22.400000000000002		21.4
	13.525		13.1	21.06875		20.6
	12.70625		12.3	20.1		20.3
	11.893749999999999		12.1	19.306250000000002		19.8
	11.306249999999999		11.6	19.39375		20
	11.818749999999998		12	20.6625		20.8
	12.2625		12.3	21.5375		21.6
	12.524999999999997		12.3	20.887500000000003		20.3
	12.325000000000003			21.08125
	12.18125			19.9625
	11.875			20.18125
	12.224999999999998			20.268749999999997
	11.656249999999998			19.712499999999995
	11.831249999999999			20.362499999999997
	11.868749999999999			19.5625
	11.45			19.449999999999996
	11.64375			19.30625
Sep.	11.56875			19.425
	11.406249999999998			19.375
	10.706250000000002			18.59375
	10.200000000000003			18.1875
	9.656250000000002			17.49375
	9.668749999999998			17.59375
	9.44375			18.975000000000005
	9.131250000000001			17.8125
	9.34375			17.48125
	9.075			17.6125
	9.181249999999999			16.6875
	8.799999999999999			17.175
	9.21875			17.050000000000004
	9.250000000000002			16.656250000000004
	9.25			16.724999999999998
	9.425			16.06875
	8.762500000000001			16.706249999999997
	8.74375			17.03125
	8.868749999999999			16.9125
	8.062500000000002			16.343749999999996
	8.50625			15.85
	8.21875			15.350000000000001
	7.562499999999999			15.481250000000003
	8.131250000000001			15.21875
	8.1875			15.199999999999998
	7.6812499999999995			15.537500000000001
	7.26875			14.793750000000001
	7.13125			14.899999999999999
	7.031250000000001			14.4125
	6.968750000000001			14.431249999999997
Oct.	6.281250000000001			14.706250000000002
	6.3687499999999995			13.825
	6.28125			13.9375
	6.89375			15
	6.74375			14.612499999999999
	6.9125000000000005			14.89375
	6.768750000000001			13.981250000000001
	6.13125			13.44375
	6.23125			13.98125
	6.231249999999999			12.76875
	6.1625			14.03125
	6.7749999999999995			14.24375
	5.612500000000001			12.812500000000002
	4.875			12.550000000000002
	5.00625			12.16875
	5.1000000000000005			12.30625
	5.1499999999999995			13.19375
	5.3999999999999995			12.962500000000002
	5.53125			12.79375
	4.831249999999999			12.1625
	5.231249999999999			12.475000000000001
	4.6625			11.193749999999998
	4.3875			10.89375
	3.6937499999999996			10.75
	3.3375			9.94375
	3.425			10.30625
	3.1375			9.9
	3.69375			9.575
	3.9			9.89375
	3.8062500000000004			9.29375
	3.19375			9.30625
Nov.	2.65625			8.79375
	1.6999999999999997			8.3375
	2.0312500000000004			8
	2.0624999999999996			8.168750000000001
	2.31875			7.5875
	1.0999999999999999			7.056249999999999
	0.35624999999999996			6.75625
	0.35			6.274999999999999
	0.9687499999999999			6.750000000000001
	0.9687499999999999			6.931250000000001
	0.43749999999999994			6.0562499999999995
	0.16250000000000014			5.356249999999999
	-0.75625			5.206250000000001
	0.6124999999999999			5.893750000000001
	-0.125			4.825
	-0.9874999999999999			4.15625
	-0.7312500000000002			4.093750000000001
	-1.3687500000000001			3.9499999999999997
	-1.7562499999999999			3.631249999999999
	-1.1125			4.1000000000000005
	-0.6000000000000001			5.012499999999999
	-0.16249999999999998			4.29375
	0.1250000000000001			5.437500000000001
	-0.5874999999999999			5.0874999999999995
	-0.7562499999999995			4.5562499999999995
	-1.575			3.9812499999999997
	-0.37500000000000006			4.31875
	-1.425			3.7187499999999996
	-2.4624999999999995			3.7687500000000003
	-1.5750000000000002			4.2125
Dec.	-0.9375000000000001			4.71875
	-0.6875			4.6187499999999995
	-0.49375000000000024			4.9624999999999995
	-1.3750000000000004			4.662499999999999
	-1.1375000000000006			5.331250000000001
	-1.2			5.35
	-0.9937499999999999			4.55
	0.6499999999999998			5.83125
	1.2			6.737500000000001
	0.7437499999999999			6.293750000000001
	-0.2437500000000001			5.8812500000000005
	-1.1062500000000004			4.7875
	-1.8125			4.2875000000000005
	-2.19375			4.262499999999999
	-1.9874999999999998			3.7
	-1.3562500000000002			4.674999999999999
	-0.8333333333333336			5.206666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

33°C

Highest Temp

3 Aug. 26

-11°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.12°C

Coldest MonthJanuary-4.27°C

Wettest MonthFebruary5.26mm

Windiest MonthJuly14.35km/h

Lindau 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 Lindau historically?

August is historically Lindau's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 34°C on 2023-07-15.

2. What is the coldest month in Lindau historically?

January is Lindau's coldest month, with average minimum temperatures around -3°C. The all-time record low of -20°C was recorded on 2012-02-04.

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

Lindau's average annual rainfall is approximately 1461.7mm, based on records spanning 17 years.

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

Lindau historically records approximately 211.6 rainy days per year. July has the highest number of rain days at an average of 20.7 days.

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

The all-time highest temperature recorded in Lindau is 34°C on 2023-07-15.

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

The all-time lowest temperature recorded in Lindau is -20°C on 2012-02-04.

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

Lindau experiences its strongest winds during May. The historic gust record of 43.9 kph was recorded on 2015-03-31.

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

Usually, Lindau's humidity peaks in January at around 84.7% and drops to its lowest in July at approximately 74.6%.

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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

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

Lindau 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

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