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

Lindenfels Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.3125	-0.7		6.818750000000001	2.6
	1.3125	-0.3		5.75	2.7
	1.8125	-1.7		5.931249999999999	0.9
	1.3624999999999998	-2.5		5.756249999999999	0.3
	0.93125	-6.1		5.60625	-0.4
	1.4500000000000002	-7		5.6812499999999995	-0.7
	1.2874999999999999	-7.5		5.50625	-2.1
	2.05	-2.9		5.768749999999999	1.4
	1.2312499999999995	2		5.86875	5.5
	0.9500000000000001	-2.7		5.250000000000001	3.5
	-0.23749999999999993	-7.2		4.6312500000000005	-0.6
	0.6499999999999999	-2.6		4.79375	2.3
	0.44999999999999984	1.1		5.5375000000000005	5.6
	0.24375000000000013	2.9		5.14375	6.6
Jan.	-0.29999999999999993	4.8		5.05	9.8
	-0.33124999999999993	2.6		4.5874999999999995	9.2
	-1	1.3		4.4	6.3
	-1.7062500000000003	0.4		4.1375	6.2
	-2.1125	-0.4		3.0374999999999996	6.1
	-2.1375	-1.7		3.00625	5.4
	-2.09375	-1.9		3.5375	3.8
	-1.3625	-1.7		3.8375	4.9
	-0.4625000000000002	0.1		4.143749999999999	6.3
	-0.5312500000000002	-1.5		4.23125	5.1
	-0.50625	-2		4.081250000000001	4
	-0.8874999999999998	0.2		4.3687499999999995	1.4
	-0.23124999999999984	-2.3		4.9624999999999995	5.4
	-0.03749999999999992	1.5		5.6375	2.9
	0.55625	2.1		5.5687500000000005	2.8
	0.37500000000000006	1.5		6.081250000000001	4.9
	0.0625000000000001	0.9		5.36875	6.4
	0.5749999999999996	3.2		5.4624999999999995	6.2
	0.40625000000000017	0		6.031250000000002	6.4
	1.15625	-0.3		5.925000000000001	2.5
	0.69375	-1.6		5.65	6
	0.3625	1.6		5.53125	7.7
	0.41875000000000007	0.2		5.975000000000001	5.5
	-0.31875000000000026	2.9		5.4624999999999995	9.7
	-0.6687500000000001	1.4		5.6375	8.5
	-0.7124999999999998	0		5.35625	6.6
	-0.9500000000000004	0.2		4.9312499999999995	7
	-0.49375000000000047	5.6		4.8687499999999995	11.4
	-1.1812500000000004	6.3		4.9625	8.9
	-1.56875	6.1		5.737499999999999	8.8
	-0.6312499999999999	0.2		6.3812500000000005	5.3
Feb.	0.2625	-1		6.8062499999999995	3.8
	0.7812500000000001	1.6		8.7	6.1
	1.1562499999999998	1.4		8.281250000000002	5.9
	1.4625000000000001	0.1		8.393749999999999	4.8
	1.45625	3.6		7.537499999999999	5.2
	1.0875	0.8		8.4625	5.2
	2.1500000000000004	5.9		8.843750000000002	10.3
	2.0812500000000003	9.2		8.74375	11.3
	2.3625000000000003	9.3		8.668750000000001	12.2
	1.78125	6.2		9.099999999999998	9.5
	1.6125	5.4		9	14.8
	1.1437500000000003	6		8.13125	16.9
	0.8625	7.2		7.83125	17.4
	0.8187500000000001	8		8.612499999999999	13.9
	1.0125000000000002	4.7		8.88125	13
	1.01875	3.7		8.95	14.2
	1.3062500000000001	4.2		9.95625	15.3
	1.1812500000000001	4.5		10.09375	15.4
	1.1812500000000001	4		9.006250000000001	16.3
	0.76875	4.1		9.043749999999998	15.6
	0.76875	5.3		9.68125	17.1
	0.70625	5.1		10.581249999999999	16.7
	2.1499999999999995	5.3		11.262500000000003	16.3
	2.00625	8.3		11.043750000000001	17.2
	2.45625	8.8		10.787500000000001	13.1
	2.4375000000000004	6.5		10.80625	13.4
	2.8374999999999995	4.8		10.475	13.9
	2.875	4		10.337499999999999	10.7
Mar.	2.4125	2.5		10.7	7.8
	3.1375	2.2		11.868750000000002	10.1
	2.6687500000000006	3		11.787499999999998	7.3
	2.9562500000000003	1.8		11.749999999999996	13.8
	3.5375	3.5		12.1625	14.8
	2.9000000000000004	3.5		12.868749999999999	15
	3.6	6.1		13.1625	13
	3.3187499999999996	4.4		12.600000000000001	14.7
	3.46875	3.4		13.13125	15.3
	3.5	4.4		13.525	16.6
	3.31875	5.6		13.362499999999999	11.6
	3.425	1.6		12.012499999999998	7.6
	2.79375	-0.3		13.375	8.7
	3.7500000000000004	-0.1		14.656250000000002	6.5
	5.168749999999999	-1		14.962499999999999	8.6
	4.8	3.8		14.56875	9.5
	5.300000000000002	2.5		14.15	9.1
	4.800000000000001	1.4		13.4125	10.8
	3.4125	0.5		13.087499999999999	13.8
	4.556250000000001	7.2		13.975000000000003	14
	4.225	9.7		13.731249999999998	14.9
	4.012500000000001	7.8		13.1125	17.9
	4.162499999999999	4		14.056250000000002	15.5
	4.71875	4		15.937499999999998	18.4
	5.06875	3.9		15.156250000000002	18.8
	5.031249999999999	5.1		16.3875	19.6
	5.756250000000001	8		15.85625	13.9
	5.8375	5.4		16.41875	20.5
	5.7625	7.4		15.7	13.7
	6.393750000000001	9		15.143749999999999	10.4
	5.4125	7.1		16.150000000000002	15.7
Apr.	5.45625	7		16.150000000000002	18.4
	5.731249999999999	9.1		15.75625	19
	5.574999999999999	8		15.375	21.8
	5.64375	13.6		15.60625	21.7
	5.4437500000000005	8.2		16.91875	16.5
	5.81875	6.1		16.90625	15
	6.0875	3.4		17.656250000000004	14.1
	6.44375	3.8		17.606250000000003	16.8
	6.906250000000001	3.4		17.7	20
	6.424999999999999	4.3		17.993750000000002	20.4
	7.1	5.5		16.981250000000003	20.8
	6.556249999999999	4.9		15.806249999999999	18.4
	5.8812500000000005	4.9		15.5875	20.2
	5.799999999999999	8.5		17.50625	21.3
	7.249999999999998	7.6		18.91875	18.8
	8.2125	5.5		17.6875	17.5
	7.91875	4.9		17.768749999999997	22.2
	7.9624999999999995	7.6		18.39375	25.7
	7.8125	12.3		17.049999999999997	24.1
	7.262499999999999	10.1		16.58125	23
	7.043749999999999	12.7		17.900000000000002	17.4
	7.706250000000002	10		18.018749999999997	18.4
	8.1875	7.8		18.225	14.1
	8.475	4.5		18.981250000000006	17.7
	9.5375	5.8		20.287500000000005	22.7
	9.518749999999999	8.9		20.14375	24.3
	9.875	6.8		20.556250000000002	13.8
	9.793750000000001	2		20	11.9
	8.65	3.3		18.5125	13.6
	8.737499999999999	4.5		18.6625	13.3
May	8.2	3.6		18.299999999999997	13.3
	7.925000000000001	2.8		18.137500000000003	14.3
	8.83125	3.7		18.074999999999996	16.7
	8.649999999999999	5.8		19.487500000000004	15.5
	9.2625	5.6		20.112499999999997	17.1
	10.1	10.3		20.0375	18.9
	10.76875	9.1		21.143750000000004	22.3
	11.012499999999998	10.7		21.525	26.4
	10.53125	12.9		20.7875	29.7
	10.162499999999998	15.6		19.931250000000006	31.1
	10.18125	14.3		19.962500000000006	29.9
	10.706249999999999	14.6		20.25	31.6
	10.525000000000002	16.7		20.668749999999996	29.8
	10.375	12		21.6625	26.8
	10.887500000000001	11.6		21.124999999999996	30.3
	11.093749999999998	16.1		21.94375	30.9
	11.100000000000001	14.6		21.818749999999998	24.2
	11.737499999999999	12.7		21.481250000000006	24.7
	11.737499999999999	13.3		22.4	25.9
	12.881250000000001	11.3		23.812500000000004	20.8
	12.875	13.1		23.81875	18.4
	12.818750000000003	10.4		24.056250000000002	20.3
	12.66875	8.9		22.89375	24.1
	12.437499999999998	10.7		23.00625	22.6
	12.9625	10.7		23.456249999999997	24.9
	12.9875	12.2		23.9	20.9
	13.181249999999999	8.5		24.025000000000006	16
	13.3875	7.2		23.7375	18.4
	13.0125	11.3		23.443750000000005	16.5
	12.737499999999999	13.7		23.275	24.4
	12.625000000000002	10.9		23.725	19
Jun.	13.225	7.5		23.668750000000003	22.2
	13.375000000000004	11.1		23.431249999999995	25.4
	13.337499999999999	13.8		24.225	27.9
	14.431250000000002	15.8		25.550000000000004	32.6
	14.931249999999999	18.5		25.83125	36.2
	14.1375	17.5		23.9875	34.4
	13.612499999999999	18.9		24.643749999999997	35.6
	14.21875	17.3		24.718749999999996	34.9
	13.70625	17.9		23.443749999999998	33.3
	13.462499999999999	19.3		24.6125	35.1
	14.331249999999999	20.3		25.41875	37.4
	14.731249999999998	21.1		26.162500000000005	39.4
	14.5875	20.6		25.74375	40.6
	14.7375	21.8		26.131249999999998	37.7
	15.618749999999997	20.1		26.325	30
	15.318750000000003	18.8		26.175000000000008	28
	14.64375	17.4		24.724999999999998	28.1
	14.49375	13.9		25.906250000000004	29.3
	14.95	12		25.474999999999998	26.5
	14.481250000000001	11.5		25.943750000000005	28.4
	15.33125	15.9		26.31875	26.8
	15.88125	14.6		26.21875	30.8
	15.006250000000001	16.4		24.887500000000003	32.9
	13.8125	17.3		24.681250000000002	25.6
	14.393749999999999	14.5		25.09375	30.6
	14.7125	15.1		26.14375	31.8
	15.249999999999998	15.8		25.91875	32.8
	15.38125	15.3		25.906249999999996	32.3
	14.806250000000002	16.6		24.443749999999998	33.5
	14.918749999999998	18.1		24.65625	34.4
Jul.	14.65	16.9		24.9875	30.8
	14.331250000000002	15.2		25.69375	32.7
	15.074999999999998	16.6		26.018749999999997	30.8
	15.4125	14.4		27.218749999999996	27.7
	15.8875	14.3		28.6625	24.6
	16.7875	10.6		27.7375	23.9
	16.59375	10.6		26.893749999999994	26.2
	16.35	12.1		26.63125	24.7
	16.175	11.1		26.668750000000003	24.9
	16.000000000000004	10.9		26.687499999999996	27.9
	15.687499999999998	14.4		26.2875	33.2
	15.737499999999999	16.7		27.024999999999995	30.4
	16.443749999999998	16.6		26.274999999999995	26.1
	16.46875	13.6		25.675	30.5
	15.981250000000001	16.6		25.175000000000004	36.7
	15.125	19.4		25.193749999999998	39.8
	15.325	17.9		26.043750000000003	35
	16.118750000000002	17.2		27.281249999999996	27.4
	15.968750000000002	16.9		27.675	31.3
	17.0625	17.5		25.924999999999994	37
	16.71875	18.3		26.318749999999998	36.4
	16.13125	20		26.0625	31.6
	15.331250000000002	17.2		25.787499999999998	28.8
	15.3875	13.5		26.606250000000003	27.7
	16.049999999999997	12.2		25.925	31.7
	15.856250000000001	17.3		26.681250000000002	35.3
	15.4625	17		25.656249999999996	35
	15.350000000000001	17.1		25.900000000000002	30.3
	15.43125	13.2		26.40625	32.1
	16.193749999999998	14.9		27.025000000000006	34.6
	15.999999999999998		17.6	27.818750000000005		36.8
Aug.	16.750000000000004		19.9	26.59375		38.2
	15.656250000000002		21.3	25.956250000000004		31.1
	15.86875		17.9	25.299999999999997		28.4
	15.7625		14.5	25.531250000000004		29.2
	15.1375		17.3	25.506249999999998		31.3
	14.987499999999999		17.2	26.11875		19.1
	15.049999999999997		16.3	27.137500000000006		21.3
	15.362499999999995		15	26.900000000000006		26.1
	15.3375		15	25.8375		26.2
	14.774999999999997		15	25.5625		26
	14.899999999999999		14.9	25.65625		25.4
	15.362500000000002		15.4	25.818749999999998		25.6
	15.28125		15	24.10625		24.9
	14.31875		14.8	24.4375		24.5
	14.462499999999999		14.5	25.150000000000002		24.7
	15.043750000000003		14.7	24.868750000000002		24.2
	14.375000000000002		13.9	23.662499999999998		23.7
	13.3		13.5	22.531250000000004		23.1
	13.125000000000002		12.8	23.29375		23.6
	13.218750000000002		13.5	24.25		24.2
	13.631249999999998		13.8	24.806249999999995		23.9
	14.2375		13.9	24.606250000000003		24.2
	14.031249999999998		13.2	24.63125		23.8
	13.64375		13.2	22.287499999999998		23.2
	13		13.2	22.774999999999995		23.2
	13.3125		13.4	23.087500000000002		23.2
	12.925		13.1	23.131249999999998		23.2
	13.15		12.8	23.450000000000003		22.9
	12.956249999999999		12.5	23.268749999999997		22.7
	13.2125		12.7	21.599999999999998		21.7
	12.7125			21.8375
Sep.	12.73125			21.468750000000004
	11.662499999999998			21.243750000000002
	11.506249999999998			20.74375
	11.34375			20.79375
	11.193749999999998			20.962500000000006
	10.987499999999999			21.13125
	10.1875			20.887500000000006
	9.462499999999999			20.16875
	9.600000000000001			20.40625
	10.037499999999998			19.74375
	10.131249999999998			19.199999999999996
	10.406250000000002			18.931250000000002
	10.65			18.956249999999997
	10.15625			19.099999999999998
	10.181249999999999			19.35625
	9.512500000000001			18.38125
	9.137500000000001			18.568749999999998
	9.387500000000001			18.48125
	9.1125			18.831250000000004
	9.2625			17.474999999999998
	9.156249999999998			16.99375
	9.11875			16.7375
	9.1125			16.90625
	9.36875			17.043750000000003
	8.468750000000002			16.950000000000003
	8.6875			17.068749999999998
	8.08125			16.59375
	7.36875			16.06875
	8.124999999999998			16.674999999999997
	7.6			16.35
Oct.	7.468749999999999			15.35
	8.025			15.318750000000001
	7.76875			15.987499999999999
	7.78125			16.59375
	8.293749999999998			15.774999999999999
	9.09375			15.787500000000001
	7.88125			15.368749999999999
	7.4937499999999995			14.587499999999999
	6.999999999999999			14.925
	7.00625			14.643750000000002
	7.7875000000000005			15.08125
	8.04375			15.500000000000004
	7.031249999999999			13.693749999999998
	6.1375			12.831249999999999
	6.28125			13.918750000000001
	6.725			13.60625
	6.5562499999999995			13.974999999999998
	6.331250000000001			13.9125
	7.00625			13.493749999999999
	7.2			13.143749999999999
	6.5125			13.287500000000003
	5.91875			12.1125
	5.4125000000000005			12.087499999999999
	5.856249999999998			11.65
	5.706250000000001			11.55
	5.5562499999999995			11.225000000000001
	4.962499999999999			10.762500000000001
	4.637499999999999			10.09375
	4.75625			10.35625
	4.7749999999999995			10.91875
	4.61875			10.450000000000001
Nov.	4.625			9.70625
	3.375			8.950000000000001
	3.4499999999999997			8.725
	3.9249999999999994			8.924999999999999
	4.331250000000001			9.3375
	3			8.675
	2.0625000000000004			7.481249999999998
	1.6187500000000001			6.975
	1.9125			8.05
	2.6062499999999993			7.700000000000001
	2.03125			7.4750000000000005
	2.2937499999999997			7.34375
	2.1375			6.6125
	1.93125			6.75625
	0.825			6.49375
	0.9562500000000002			5.656250000000001
	0.93125			5.55625
	0.04375000000000004			5.26875
	0.22499999999999998			4.9125
	-0.07500000000000007			5.05
	0.7000000000000001			5.393749999999999
	1.09375			5.6
	1.9687500000000002			6.3625
	1.6187500000000001			6.043749999999999
	1.05			5.79375
	0.5625			5.3875
	1.6			5.50625
	0.925			5.71875
	0.68125			5.58125
	0.66875			5.3500000000000005
Dec.	1.1500000000000001			5.65
	1.28125			6.187500000000002
	1.8875			6.449999999999998
	1.6624999999999996			6.381249999999999
	1.8125			6.9937499999999995
	1.85			6.7625
	2.29375			6.581250000000001
	3.3375000000000004			7.4375
	4.406249999999999			8.55625
	3.8375000000000004			8.337499999999999
	2.66875			7.275000000000001
	2.0125			6.243749999999999
	1.4187499999999997			6.156250000000001
	0.48750000000000004			5.41875
	0.63125			5.368750000000001
	1.225			6.187499999999998
	2.48			6.706666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

41°C

Highest Temp

27 Jun. 26

-7°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust32.25°C

Coldest MonthJanuary-1.01°C

Wettest MonthFebruary2.92mm

Windiest MonthJuly17.05km/h

Lindenfels 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 Lindenfels historically?

August is historically Lindenfels's hottest month, with average maximum temperatures around 26°C. During peak heatwave events, the highest recorded temperatures have reached 41°C on 2026-06-27.

2. What is the coldest month in Lindenfels historically?

January is Lindenfels's coldest month, with average minimum temperatures around 0°C. The all-time record low of -15°C was recorded on 2010-12-26.

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

Lindenfels's average annual rainfall is approximately 759.1mm, based on records spanning 17 years.

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

Lindenfels historically records approximately 199.2 rainy days per year. May has the highest number of rain days at an average of 18.4 days.

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

The all-time highest temperature recorded in Lindenfels is 41°C on 2026-06-27.

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

The all-time lowest temperature recorded in Lindenfels is -15°C on 2010-12-26.

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

Lindenfels experiences its strongest winds during February. The historic gust record of 51.1 kph was recorded on 2017-01-13.

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

Usually, Lindenfels's humidity peaks in December at around 84.4% and drops to its lowest in August at approximately 64.9%.

Recent Blogs On Weather

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

Lindenfels 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

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

Lindenfels 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

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