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

Leinefelde Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.10625	-0.3		5.00625	1.9
	0.38124999999999987	-1.4		4.2875000000000005	0.1
	0.2312499999999999	-4.9		3.9124999999999996	-0.7
	-0.15000000000000005	-4.7		3.6312500000000005	-0.7
	-0.9312499999999998	-10.5		2.8625	-3
	-0.9562499999999999	-12.4		3.0250000000000004	-3.1
	-0.7937499999999997	-12.8		3.19375	-4.3
	-0.0437500000000001	-7.8		2.925	-0.3
	-0.42499999999999993	-2.8		3.45625	2.3
	-1.5562500000000001	-12.3		2.86875	0.9
	-1.7124999999999997	-15.1		2.2500000000000004	-5.3
	-0.8625	-10.7		2.5625	1.5
	-0.7749999999999998	1.1		3	3.1
	-1.19375	1.6		2.8999999999999995	3.6
Jan.	-1.1187499999999997	2.7		2.8000000000000003	4.8
	-1.7812500000000002	2.4		2.0625	6.1
	-2.2812500000000004	0.1		2.1125	3.6
	-2.79375	-1.2		1.6374999999999997	3.1
	-2.9250000000000003	-1.9		1.2374999999999998	3
	-3.6000000000000005	-3.8		0.8625000000000002	2.1
	-3.9749999999999988	-3.6		0.6812499999999999	2.1
	-3.5874999999999995	-2.9		0.8624999999999999	1.4
	-2.7874999999999996	-4.2		0.78125	0.6
	-2.1687500000000006	-5		1.71875	-0.8
	-2.4499999999999997	-5.5		1.41875	-0.3
	-2.5687500000000005	-4.1		1.80625	0
	-1.7937500000000002	-1.4		2.7874999999999996	0.2
	-1.1874999999999998	-3.3		3.10625	-1.3
	-1.3750000000000007	-2.5		3.04375	-1.5
	-1.6187499999999997	-4.4		2.94375	-0.1
	-2.2249999999999996	-2.5		2.39375	0.7
	-1.7249999999999996	-3.5		2.7125	-1.8
	-1.55	-5.3		3.0062499999999996	-1.9
	-0.4874999999999999	-7.2		3.2437499999999995	-2.7
	-1.2625	-2.9		3.3750000000000004	0.3
	-1.4812499999999997	-2.3		2.70625	0.5
	-1.9812499999999997	-1.7		2.6187500000000004	1.2
	-3.1812500000000004	0.8		2.2187500000000004	2
	-3.1374999999999997	0.1		1.3812499999999999	1.4
	-2.81875	-0.3		2.48125	1.2
	-2.5999999999999996	-1.7		2.3687500000000004	3.9
	-2.225	2.3		1.81875	7
	-3.0812500000000007	3.7		1.7000000000000002	6.2
	-2.8249999999999997	-0.1		2.8874999999999997	5.2
	-2.5125	-4.1		3.95625	0.2
Feb.	-1.48125	-4.9		4.7125	0.6
	-0.33125000000000004	-1.8		5.8999999999999995	2.3
	-0.2125000000000002	-1.5		5.525	1.3
	0.08749999999999986	-4.1		5.406249999999999	-0.6
	-0.26250000000000007	-3.7		4.543749999999999	0.3
	-0.7874999999999998	-7.7		5.4312499999999995	2
	0.8937499999999997	1.7		5.93125	6.9
	0.3000000000000002	6.7		6.50625	9.8
	0.11875000000000002	6.2		5.96875	8.1
	0.16249999999999987	4.4		6.162500000000001	8.9
	0.40625	3.9		6.39375	11.4
	-0.21874999999999994	5.2		5.4	14.5
	-0.6437499999999998	7.5		5.1	15.7
	-0.45625000000000004	7.8		5.474999999999999	13.6
	-0.6	2.4		5.825000000000001	10.2
	-0.61875	3		6.106250000000001	11.4
	-0.012499999999999976	4.4		6.725000000000001	13
	-0.09375	4.4		6.75625	9
	-0.29374999999999996	4.6		6.518750000000002	12.9
	-0.17499999999999993	4.7		6.393750000000001	13.6
	-0.48750000000000016	5.7		6.456250000000001	14.7
	-0.24374999999999986	5.6		6.512499999999999	13.3
	0.05625000000000008	5.4		7.56875	14.1
	0.4312500000000001	6		8.600000000000001	15.4
	0.16875000000000012	7		7.500000000000001	12.1
	1.075	3.5		7.1875	10.2
	1.2125000000000001	5.7		7.85	12.1
	1.1625	2.1		7.118750000000001	8.7
Mar.	0.6937500000000001	1.9		7.1312500000000005	6.2
	0.8187500000000001	1.8		7.8062499999999995	6.9
	1.0062499999999999	0.5		7.8500000000000005	3.3
	1.0062499999999999	0.4		8.856250000000001	10.1
	1.2625	2.9		8.85625	11.7
	1.55625	3.6		9.650000000000002	8.6
	1.7249999999999999	3.3		9.912500000000001	8.2
	1.56875	1.6		9.1625	11.2
	2.3375000000000004	3		9.8625	12.1
	1.3125	4.7		9.706249999999999	13
	1.2812500000000002	1		9.85	8.8
	1.4250000000000003	-1.3		8.668750000000001	4.4
	0.9875	-2.4		9.525	6.2
	2.1000000000000005	-0.2		11.237499999999999	4
	3.4374999999999996	-1.7		11.25	6.5
	2.7750000000000004	1.4		11.10625	5.6
	3.04375	0.4		10.368749999999999	5.5
	2.2125000000000004	1.3		9.50625	8.2
	1.4562499999999998	0.4		10.1875	11.4
	2.6625000000000005	0.3		10.825	10.7
	2.6062500000000006	7.7		10.581249999999999	12
	2.5187500000000003	6.4		10.056249999999999	14.2
	2.5375	2.5		11.0875	10.6
	2.98125	1.6		12.94375	12
	3.2625	0.9		11.95	12.4
	3.2875000000000005	2.6		12.96875	11.5
	3.45625	3.2		12.3375	10.4
	3.9375000000000004	2		12.618749999999997	12.9
	3.6562500000000004	4.9		11.868750000000002	11
	4.49375	5		12.675000000000002	12.2
	3.4	6.3		12.418750000000001	12.6
Apr.	3.81875	3.9		12.475	14.2
	3.60625	8.5		12.79375	14.6
	3.2499999999999996	9.9		12.39375	17.1
	3.49375	10.3		12.45625	17.5
	3.66875	5.8		13.58125	9.5
	3.9437500000000005	3.3		14.037500000000003	5.6
	4.4375	1.6		14.337499999999999	10.9
	4.375	0.9		13.724999999999998	13.3
	4.612500000000001	1.9		14.231250000000001	14.2
	4.28125	1.3		14.637500000000003	12.9
	4.775	2.6		14.125	14.4
	3.9062499999999996	1.2		13.1625	12.3
	3.7312500000000006	2.9		12.393749999999999	14
	4.425000000000001	4.1		14.85625	12.7
	6.0062500000000005	1.6		16	11.5
	5.975	0.6		15.68125	13.1
	5.956250000000001	4.7		15.625	17.9
	5.81875	7.7		14.3375	22.4
	5.474999999999999	11		14.7	21.4
	4.974999999999999	11.5		13.243749999999999	19.7
	4.40625	11.3		13.956249999999999	18.2
	4.6	8.1		14.668749999999998	14.3
	6.0125	6.4		14.668750000000001	7.9
	5.512499999999999	6.3		15.249999999999998	10.3
	7.2562500000000005	4.6		17.5375	13.9
	8.025	5.9		17.4125	17.8
	8.0375	3.5		17.400000000000002	11.2
	7.637499999999999	0.7		16.487499999999997	9
	6.025	5		15.19375	12
	6.55	4.2		15.66875	10
May	5.593749999999999	1.7		15.1375	11.2
	6.074999999999999	2		14.862499999999997	10.8
	6.6000000000000005	2.8		15.500000000000002	14.4
	6.800000000000001	4.9		16.225	15.6
	7.475	5.6		17.243750000000002	14.9
	8.59375	7.6		17.66875	15.4
	9.243749999999997	9.4		18.575	18
	8.81875	10.3		18.650000000000002	21.7
	9.025	12.8		18.156250000000004	25.1
	8.61875	14		17.60625	23.3
	8.1375	11.4		16.675	23.5
	8.125	13.4		17.625	25.6
	8.75625	9.8		16.762500000000003	18.3
	8.7375	5.9		17.749999999999996	18
	8.39375	8.2		17.7875	24.2
	8.812499999999998	13.6		18.4875	21.6
	9.200000000000001	12.5		18.83125	19.3
	9.293750000000001	11.9		17.89375	19.8
	9.38125	11.4		18.84375	21.4
	9.7125	10.6		20.549999999999997	17.4
	10.193749999999998	12.2		20.349999999999998	16.7
	10.5	10.1		21.39375	17.1
	10.5	8.8		20.3	19.7
	10.1875	10.4		20.0875	17.4
	10.51875	9.8		20.58125	22.3
	10.987499999999999	9.7		21.406249999999996	15.4
	11.375000000000002	7.7		20.981250000000003	16.4
	11.062499999999998	8.1		20.325000000000003	14
	10.343750000000002	8.2		19.668749999999996	16.4
	9.837499999999999	9.2		19.200000000000003	17.9
	10.2	6.7		20.28125	15.4
Jun.	10.893749999999999	6.9		20	13.8
	10.724999999999998	7.5		19.6625	20.6
	10.850000000000001	12.7		21.1375	22.4
	12.4625	14.9		22.700000000000003	26.7
	12.556250000000002	17.6		22.39375	30.4
	11.95625	18.1		20.931250000000002	29.5
	10.693750000000001	18.7		20.4625	26.9
	11.475000000000001	16.3		21.1125	24.6
	11.56875	16.3		19.975	26.2
	11.50625	17.2		20.5875	29
	11.950000000000001	19.5		21.518750000000004	29.8
	12.3875	18.2		22.1125	30.3
	11.512500000000001	22		21.4625	33.2
	12.187500000000002	20.5		23.006249999999998	30.7
	13.449999999999998	17.5		22.843749999999996	23
	12.637500000000001	16.4		22.349999999999998	23.8
	12.24375	14		21.4	21.8
	12.06875	12.2		22.01875	24.6
	11.825000000000001	8.9		21.599999999999994	18.4
	12.2375	8.7		22.725	20.8
	13.09375	13.1		23.099999999999998	19
	12.893750000000002	12.6		22.300000000000004	20.8
	12.1875	14.9		22.262500000000003	24.6
	11.874999999999998	12.2		21.662500000000005	20.8
	12.162500000000001	11.3		21.45	19
	12.39375	12.5		22.006249999999998	23.5
	12.962500000000002	13.6		22.90625	25
	12.78125	14		22.468749999999996	25.7
	12.70625	14.5		21.3125	27.1
	12.3375	15.3		21.162499999999994	24.6
Jul.	12.281249999999998	12.9		20.968749999999996	24.6
	12.2125	13.5		21.674999999999997	25.6
	12.343749999999998	16.2		22.731250000000003	24.5
	12.73125	13.3		23.1625	23.1
	13.5125	10.3		24.350000000000005	17
	14.437499999999998	7.8		24.724999999999998	17.8
	14.287499999999998	9		23.212499999999995	20.5
	13.968749999999998	9.6		22.9625	17.9
	13.499999999999998	10.3		23.04375	16.6
	13.299999999999997	8.1		23.1	21.7
	14.049999999999999	11.7		23.062500000000004	26.9
	13.668750000000003		14.9	23.6125		24.9
	14.249999999999998		13.5	23.468750000000004		19.3
	14.15625		9.5	23.243750000000006		24.8
	13.918750000000001		14.6	21.999999999999996		31.1
	13.25		18.2	21.66875		37.1
	13.018750000000002		17.4	22.181250000000002		30.4
	13.525		15.6	23.437499999999996		28.6
	14.1875		16.7	24.18125		26
	14.843749999999998		14.6	23.612499999999997		23.6
	14.575		14.2	23.562499999999996		23.3
	13.631250000000001		13.4	21.73125		22.3
	12.731249999999998		12.9	22.94375		23.4
	13.512500000000003		13.8	23.58125		24.1
	13.756250000000001		14	23.462500000000002		23.4
	13.725		13.6	23.5125		23.4
	13.39375		13.4	22.612499999999997		22.3
	13.006249999999998		13	22.074999999999996		22.2
	13.175		13.4	22.637500000000003		22.9
	13.63125		14	23.75625		24.2
	14.04375		13.9	24.4		24
Aug.	14.64375		14.4	23.599999999999998		23.5
	13.587499999999999		13.5	22.481249999999996		22.7
	13.48125		13.6	21.96875		22
	13.637500000000001		13.3	22.343749999999996		22.5
	12.968750000000002		13.1	22.26875		23
	12.737499999999999		13.5	22.256249999999998		22.9
	12.9875		12.9	23.4875		22.9
	13.500000000000002		13	23.168750000000003		22.6
	13.174999999999999		13.1	22.581250000000004		22.8
	12.937500000000002		13.2	22.787499999999998		23.3
	13.006250000000001		12.9	22.64375		22.5
	13.443750000000001			23.05625
	12.956249999999999			20.981250000000003
	12.100000000000001			21.181250000000002
	12.506250000000001			22.056250000000002
	12.668750000000001			21.643749999999997
	12.056249999999999			21.25625
	10.8625			18.918750000000003
	11.074999999999996			19.531249999999996
	11.199999999999998			20.84375
	12.143749999999999			22.181250000000002
	12.29375			21.45
	12.168750000000001			21.268750000000004
	11.756250000000001			20.26875
	10.718749999999998			19.95
	12.1125			20.46875
	12.14375			20.3125
	11.756249999999998			20.393749999999997
	11.237500000000002			20.287499999999998
	10.9875			18.43125
	10.475000000000001			18.14375
Sep.	10.94375			18.9375
	10.000000000000002			18.15625
	10.024999999999999			18.568749999999998
	9.6125			17.575000000000003
	9.45625			17.85625
	9.6125			17.96875
	8.762500000000001			17.96875
	8.84375			17.375
	8.868749999999999			16.79375
	8.887500000000001			16.9375
	9.16875			16.88125
	9.15625			16.7875
	9.5625			16.193749999999998
	8.868749999999999			15.843750000000002
	8.01875			16.181250000000002
	7.7437499999999995			16.09375
	7.18125			15.818749999999998
	7.574999999999999			15.862500000000002
	7.9			16.025000000000002
	7.85625			15.131249999999998
	7.8187500000000005			14.39375
	7.387500000000001			14.1875
	7.543749999999999			14.043750000000003
	7.6812499999999995			13.7625
	6.8125			13.875
	6.88125			13.90625
	6.593749999999999			13.58125
	5.975			12.8375
	6.59375			13.0625
	6.275000000000001			13.256250000000001
Oct.	6.168749999999999			12.66875
	6.2749999999999995			12.275
	6.63125			13.349999999999998
	5.687499999999999			13.44375
	6.075			13.14375
	6.931249999999998			12.775
	6.6875			13.39375
	6.7749999999999995			12.556249999999997
	6.250000000000001			12.656249999999998
	6.4312499999999995			12.6625
	6.59375			11.943750000000001
	6.9937499999999995			12.499999999999998
	5.41875			11.543750000000001
	5.475			11.268749999999999
	5.5562499999999995			11.599999999999998
	5.78125			11.049999999999999
	5.7125			11.825000000000001
	6.1312500000000005			11.962499999999997
	5.775			11.6625
	5.84375			11.000000000000002
	5.400000000000001			10.799999999999999
	5.362499999999999			9.9
	4.6			10.0875
	4.9625			9.48125
	4.974999999999999			9.293749999999998
	4.71875			9.225
	3.8062500000000004			8.98125
	3.3312500000000007			8.18125
	3.8375000000000004			8.668750000000001
	3.6500000000000004			8.7375
	3.5687499999999996			8.23125
Nov.	3.2125			8.125
	2.575			6.6937500000000005
	1.9937500000000004			6.4375
	2.31875			6.325
	2.3000000000000003			6.362499999999999
	1.0875000000000001			5.50625
	0.5062499999999999			4.80625
	0.25625			4.143750000000001
	1.3374999999999997			6.2
	0.9437499999999999			5.85625
	0.79375			5.0625
	0.9125000000000001			4.9125000000000005
	0.23125000000000007			4.4625
	0.45625000000000004			4.49375
	0.15000000000000002			3.81875
	-0.71875			3.2
	-1.4375000000000002			2.8750000000000004
	-1.06875			3.1562499999999996
	-1.3374999999999997			2.8312499999999994
	-1.0687499999999999			2.8749999999999996
	-0.6624999999999999			3.0125
	-0.28749999999999987			3.2687500000000003
	0.31250000000000006			3.7874999999999996
	-0.03124999999999989			4.3
	0.11874999999999986			3.6812500000000004
	-0.5499999999999998			3.55625
	0.475			3.775
	-0.2875000000000001			3.5812499999999994
	-0.8687499999999999			3.1437500000000003
	-0.9749999999999999			2.9437499999999996
Dec.	-0.9437499999999999			3.2375000000000003
	-4.163336342344337e-17			4.15625
	1.4500000000000002			4.981250000000001
	0.95625			4.831250000000001
	1.13125			5.18125
	0.95625			5.15625
	0.9937499999999999			4.49375
	1.8125			4.80625
	2.35625			5.93125
	2.1749999999999994			6.074999999999999
	0.9749999999999996			5.318749999999999
	0.9249999999999999			4.706249999999999
	0.53125			4.375
	0.03750000000000003			3.73125
	-0.14374999999999993			3.70625
	-0.28125000000000017			4.25625
	1.68			5.246666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

33°C

Highest Temp

27 Jun. 26

-15°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthJune22.27°C

Coldest MonthJanuary-4.33°C

Wettest MonthMay3.82mm

Windiest MonthJuly19.95km/h

Leinefelde 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 Leinefelde historically?

August is historically Leinefelde's hottest month, with average maximum temperatures around 23°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2022-07-20.

2. What is the coldest month in Leinefelde historically?

January is Leinefelde's coldest month, with average minimum temperatures around -2°C. The all-time record low of -19°C was recorded on 2021-02-10.

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

Leinefelde's average annual rainfall is approximately 766.6mm, based on records spanning 17 years.

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

Leinefelde historically records approximately 220.7 rainy days per year. July has the highest number of rain days at an average of 20.8 days.

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

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

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

The all-time lowest temperature recorded in Leinefelde is -19°C on 2021-02-10.

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

Leinefelde experiences its strongest winds during February. The historic gust record of 53.6 kph was recorded on 2018-01-18.

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

Usually, Leinefelde's humidity peaks in January at around 89.5% and drops to its lowest in August at approximately 72.03%.

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

Leinefelde 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

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

Leinefelde 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

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