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

Berlin Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.10625	1.2		5.8625	3.3
	0.8124999999999999	-0.8		5.4312499999999995	1.9
	0.3562500000000001	-2.4		4.38125	1.4
	-0.0875	-4		4.15	-0.5
	-0.7562499999999999	-4.5		2.88125	-0.6
	-1.2625000000000004	-5.1		3.0624999999999996	-0.8
	-0.86875	-6.7		3.31875	-2.7
	-0.012500000000000039	-9.1		3.4312500000000004	-3.4
	0.44374999999999987	-6.5		3.9000000000000004	-3.5
	-0.3750000000000002	-9.9		3.65	-3.9
	-1.0250000000000001	-9.8		2.9187499999999997	-3.7
	-0.012500000000000011	-10.8		3.4125000000000005	-0.4
	0.53125	-0.2		4.09375	1.3
	0.19999999999999993	1.3		3.9125	3.8
Jan.	-0.15624999999999997	0.4		3.80625	3.6
	-0.21874999999999994	1.4		3.3624999999999994	4.5
	-1.08125	-0.7		3.25	3.2
	-2.1125000000000003	-1.3		2.275	2.2
	-1.7937500000000002	-1.2		2.1312499999999996	3.1
	-2.431250000000001	-1.5		1.8375000000000001	4.3
	-2.6062499999999997	-1.1		1.2750000000000001	3.4
	-2.6937499999999996	-3.3		1.5437500000000002	0
	-3.3	-3.9		1.1375000000000002	0
	-2.4499999999999993	-2.9		2.21875	0.2
	-1.6062499999999997	-2.6		2.125	0.3
	-2.6812500000000004	0.1		1.775	1.1
	-1.8437500000000004	-0.2		3.53125	0.6
	-0.6687499999999998	-1.8		3.90625	0.6
	-0.9375000000000001	-1.6		3.75625	0.1
	-0.9062500000000002	-1.7		3.5875	1.2
	-1.49375	-5.1		3.006249999999999	-1.3
	-1.3125000000000002	-8		3.53125	-4.1
	-1.2124999999999995	-8.7		3.34375	-4.4
	-0.5437500000000002	-8		3.8125	-3.3
	-0.925	-5.8		4.081250000000001	-1.1
	-1.1812500000000004	-2.8		3.2875000000000005	0.8
	-1.08125	0.7		3.2874999999999996	2.8
	-1.9812500000000002	0.1		3.1875	1.5
	-2.2437499999999995	-0.7		2.89375	1.6
	-1.83125	-0.9		3.65	2.4
	-1.4312500000000001	-1.1		3.8937500000000003	4.2
	-1.3937499999999998	2.5		3.3000000000000003	4.2
	-2.025	4		3.575	8.4
	-1.5875000000000001	-0.2		4.06875	5.7
	-1.6875000000000004	-2.2		4.625	1
Feb.	-1.4187499999999997	-3.9		5.58125	-0.1
	-0.3125	-3.9		6.54375	2.2
	0.018750000000000155	0.6		6.456249999999999	1.6
	-0.24999999999999983	-4		6.35	0.6
	-0.02499999999999991	-5.6		5.5	0.2
	0.05624999999999997	-6.3		5.8500000000000005	0.2
	1.2374999999999998	0.4		6.5874999999999995	5.7
	0.58125	4.3		7.0062500000000005	9.8
	0.20624999999999993	5.9		6.5375	9.2
	-0.006249999999999936	5.1		6.943749999999999	6.8
	0.3187500000000001	2.6		7.2250000000000005	9.7
	0.22499999999999995	3.7		6.481249999999998	13.5
	-0.28125000000000017	7.5		7.225000000000001	16.3
	0.48124999999999996	7.7		6.3875	16.7
	-0.050000000000000044	5.9		6.8875	11
	0.12500000000000008	3.8		6.95	12.9
	0.12499999999999994	4.6		7.7250000000000005	14.1
	0.44999999999999984	4.2		8.093750000000002	10.3
	0.6000000000000001	2.6		7.718749999999999	12.4
	-0.14374999999999996	3.1		7.418749999999999	14.2
	0.3687499999999999	5		7.343750000000002	14.2
	0.11874999999999994	7.2		7.937500000000002	16
	0.47500000000000003	5.6		9.0625	15.3
	0.575	7.4		8.85625	15.1
	1.2437500000000001	8		8.418750000000001	16.1
	1.60625	8.1		8.29375	12.3
	2.04375	7		9.343749999999998	15
	1.6624999999999996	5.8		8.668750000000001	15.5
Mar.	1.94375	4.6		8.087499999999999	6.4
	1.63125	3.9		8.5	8
	1.80625	1		9.643749999999999	10.2
	1.8437500000000004	2.6		9.65625	12.8
	1.4437500000000003	5.4		10.000000000000002	13.7
	2.0875	6.4		10.437499999999998	12.4
	2.7312500000000006	6.2		10.9125	11.9
	2.4125	4		10.587499999999999	13.6
	3.03125	4.4		10.53125	13.9
	1.46875	6.7		11.174999999999999	14.8
	2.05625	4.2		11.387500000000003	11.6
	2.5124999999999997	2		10.4375	8
	1.6874999999999996	-0.6		10.537499999999998	9.6
	2.8750000000000004	1.7		12.09375	11.3
	4.15625	1		12.6875	10
	3.35	3.1		12.2375	7.8
	3.7812500000000004	1.7		11.9375	4
	3.1312500000000005	1.5		11.068750000000001	11.9
	2.36875	3.3		11.893750000000002	12.6
	3.3	4.2		12.431249999999997	9.9
	3.6500000000000004	6.9		12.593749999999998	13.8
	3.83125	8.1		11.387500000000001	17.5
	3.26875	5		12.825000000000001	12.7
	4.3	3.1		14.16875	13.3
	5.0562499999999995	2.9		13.962499999999999	13.8
	4.4375	1.7		14.406249999999998	11.1
	4.562500000000001	2.8		14.537500000000001	9.2
	5.1625	2.2		13.612499999999997	13.6
	4.95	5.1		13.89375	8.3
	6.143750000000001	6.7		14.212499999999999	14
	5.4437500000000005	8		13.249999999999996	14.1
Apr.	5.28125	4.7		14.193750000000003	17
	4.9875	9.1		14.200000000000003	19.5
	5.075	8.5		14.762500000000001	19.1
	4.856249999999999	9.3		15.14375	20.4
	4.7749999999999995	5.3		15.156250000000002	13.8
	5.262500000000001	3		15.975	10.2
	5.88125	2.1		15.993749999999999	13.5
	5.7250000000000005	2.9		15.75	16.7
	6.4875	4.7		15.81875	16.4
	6.125	5		16.6125	16.3
	6.662499999999999	5.2		16.55625	15.9
	5.9937499999999995	3.1		15.668750000000003	13.8
	5.83125	4.8		15.45625	15.3
	6.25	4.5		17.23125	14.4
	7.668749999999999	3.7		18.89375	13.3
	7.906249999999999	4.9		17.968750000000004	18.6
	7.550000000000001	7.9		18.0125	23
	7.593749999999999	10.9		16.2375	24.9
	7.0625	13.5		16.650000000000002	27.1
	7.19375	14.5		15.6875	21
	6.76875	11.5		16.3375	18
	6.6375	7.9		16.44375	11.2
	7.63125	6.2		17.41875	11.5
	7.193749999999999	4.6		17.581250000000004	15.8
	8.725	6.1		19.849999999999998	17.6
	9.375000000000002	8		20.262499999999996	19.4
	10.025000000000002	7.6		20.6375	18.2
	9.65625	3.9		20.150000000000006	11.1
	8.65625	4.8		17.61875	13.7
	8.4125	6.7		17.2	12.6
May	7.543750000000001	5.1		17.2	15.9
	8.00625	5.3		17.781249999999996	13.9
	8.95625	5.7		18.287499999999998	17.3
	8.775	10.2		18.5875	18.9
	9.83125	9.1		20.262500000000003	18.7
	10.856250000000001	11.2		20.9625	19.4
	11.112499999999999	10.2		21.668749999999996	21.4
	11.3	12.1		21.543750000000003	21.8
	11.4	14.6		21.318750000000005	28.1
	11.11875	15.7		21.01875	26.5
	10.687500000000002	12.9		19.050000000000004	25.6
	10.343750000000002	14.4		19.9	28.7
	10.793750000000001	13		19.8875	21.8
	10.39375	9.2		20.05625	20.6
	10.893749999999999	11.6		20.3875	26.1
	11.06875	15.6		21.731250000000006	23.7
	11.3375	12.4		22	23
	11.825000000000001	12.9		21.162499999999998	23
	11.65625	13.6		21.650000000000002	25.8
	12.168750000000001	14.6		23.062500000000004	20.6
	12.55625	13.1		23.09375	23.2
	12.812500000000002	14.3		24.450000000000003	20.1
	13.80625	12.1		24.300000000000004	24
	13	15.4		23.400000000000002	22.3
	13.212500000000002	12.6		23.968750000000004	25
	13.874999999999998	13.7		24.537499999999994	20.4
	14.231250000000001	11.7		24.256249999999998	20.4
	13.924999999999999	11.2		24.293749999999996	19.4
	13.0625	10.2		23.04375	17
	12.9375	12		22.337500000000002	20.9
	12.706250000000002	10.5		22.625	17
Jun.	13.1	11.9		23.4375	20
	12.8375	8.8		22.193749999999994	21.7
	13.20625	12.5		24.112499999999997	24.5
	14.73125	17.2		25.475	28
	14.79375	18.9		25.5625	33.9
	14.362500000000002	21.1		23.224999999999998	31.5
	13.137500000000001	19.7		22.925	31.9
	14.137499999999998	16.3		23.987500000000004	27.6
	13.850000000000001	15.7		22.68125	28.4
	13.737499999999999	17.7		23.075000000000003	31.7
	14.531250000000002	21.5		23.86875	33.8
	15.0125	18.5		25.131250000000005	34.3
	14.149999999999999	22.2		24.299999999999997	39.9
	14.618749999999999	24.8		25.762500000000003	37.6
	15.80625	20.4		25.93125	28.8
	14.70625	18.6		24.2625	28.3
	14.256250000000003	15.7		24.156250000000004	24.2
	14.700000000000001	15.8		23.993750000000002	28
	14.1875	14.1		24.818749999999998	23.2
	14.8375	12.8		24.84375	22.3
	15.80625	15.1		25.41875	23.6
	15.056250000000002	12.8		24.756249999999998	18
	14.543750000000001	16.2		24.60625	24.7
	14.249999999999998	11.4		24.05	23.6
	14.5	12		24.58125	24
	14.8375	14.8		24.225000000000005	27.4
	15.33125	15.3		25.700000000000003	26.7
	15.674999999999997	16.9		24.375	30.2
	15.281250000000002	17.7		24.724999999999998	30.1
	14.793749999999998	16.7		23.44375	23.4
Jul.	14.893749999999999	15		23.606250000000003	26.7
	14.825	17.8		24.431250000000002	29.6
	15.081249999999999	19.5		25.31875	30
	15.231250000000001	16.5		25.206249999999997	26.5
	15.456249999999999	13.7		26.075000000000003	22.5
	16.331249999999997	12.9		26.924999999999997	19.1
	16.63125	11.4		25.4125	22.7
	16.550000000000004	12.5		25.212499999999995	19.3
	15.956250000000002	12.8		25.025	21.2
	15.2	12.4		25.956250000000004	24.2
	16.556250000000002	15.5		25.812500000000004	28.6
	15.856250000000003	17.7		25.818749999999998	26.8
	16.856250000000003	15.8		25.937500000000004	23.3
	17.087500000000002	12.8		25.78125	22.9
	16.6875	17.8		25.10625	30.2
	16.093750000000004	20.3		24.343749999999996	37.4
	15.58125	20		24.275	30
	16.1	16.6		25.937500000000004	22.7
	16.037499999999998	14.8		26.3375	25.3
	17.05	16.2		26.58125	30.8
	16.918750000000003	21.4		25.71875	32.3
	16.0875	22.4		24.5625	31.9
	15.375	21.3		25.537500000000005	27.6
	15.856249999999998	14.8		25.831249999999997	21.9
	16.55		13.9	26.53125		25.3
	16.65625		15.7	26.21875		31.4
	15.837499999999999		18.4	25.306250000000002		29.7
	15.718750000000004		12.9	25.068749999999998		23.3
	15.46875		13.3	25.10625		25.7
	15.637500000000001		15.9	25.70625		29.5
	16.3125		18.3	26.437499999999996		35
Aug.	16.65625		18.7	26.181250000000002		27.1
	16.224999999999998		16.2	25.5375		25.9
	15.918750000000001		15.9	25.71875		25.9
	16.318749999999998		16.4	25.61875		25
	16		15.7	24.28125		25.4
	15.0125		15.6	24.543750000000006		25.5
	15.13125		15.3	25.568749999999998		24.9
	15.475000000000003		15.1	24.962500000000002		24.3
	15.13125		14.9	24.387500000000006		24.6
	14.906250000000002		14.9	24.68125		24.8
	15.349999999999998		15.4	24.625		25
	15.231250000000001		15.3	24.19375		24.4
	15.043750000000003		15	23.868750000000002		24.1
	14.41875		15	23.331249999999997		24.3
	14.325		14.7	23.98125		23.4
	15.037500000000001		14.5	23.76875		23.1
	14.812499999999998		14.3	23.725		23.5
	13.28125		13.1	22.05		22.7
	12.9		13.3	21.381249999999998		21.7
	13.406250000000004		14.1	22.543750000000003		23
	14.200000000000001		14.2	23.706249999999997		23.6
	14.08125		13.8	23.54375		22.7
	13.59375		13.2	22.887499999999996		22.5
	13.51875		13.2	22.318749999999998		22.7
	12.85625			22.406249999999996
	13.725000000000001			22.456249999999997
	13.86875			22.893750000000004
	13.9			22.787499999999994
	13.662500000000001			22.806250000000002
	13.081249999999999			20.868750000000002
	12.475			20.25
Sep.	12.875			21.25
	12.431250000000002			20.28125
	11.75625			21.0375
	12.056250000000002			19.881249999999998
	11.337499999999999			20.275000000000006
	11.26875			20.1375
	10.9375			20.4125
	10.318750000000001			19.175
	10.168749999999998			18.856249999999996
	10.51875			19.075
	11.0375			18.075
	10.7875			19.056250000000002
	11.575000000000001			18.825
	10.387500000000001			18.093749999999996
	9.93125			17.89375
	9.493749999999999			17.906249999999996
	9.137499999999998			17.193749999999994
	9.0625			17.24375
	9.537500000000001			17.424999999999997
	9.543750000000001			17.056250000000002
	9.675			16.49375
	9.35			16.381249999999998
	8.637500000000001			15.674999999999999
	8.33125			14.743749999999999
	8.03125			15.462499999999997
	8.4875			15.399999999999999
	8.50625			15.437499999999998
	8.225			14.831249999999999
	7.3			15.00625
	7.7875			14.518749999999997
Oct.	8.243750000000002			14.175000000000002
	7.8375			13.66875
	7.70625			15.15
	7.0687500000000005			14.76875
	7.15			13.818750000000001
	7.937499999999999			14.29375
	7.856250000000001			14.824999999999998
	8.350000000000001			14.306250000000004
	7.9125000000000005			14.3
	7.9375			13.9125
	7.743750000000001			13.487499999999999
	7.787499999999999			13.85625
	6.76875			13.20625
	7.15625			12.662499999999998
	6.531250000000001			12.84375
	6.8374999999999995			12.78125
	6.643750000000001			12.55625
	6.624999999999999			12.850000000000001
	7.08125			12.706249999999999
	6.4375			12.25625
	6.093749999999999			11.375
	6.6625000000000005			11.662500000000001
	6.456249999999999			11.4375
	6.19375			11.24375
	5.5375000000000005			10.787499999999998
	5.637499999999999			10.25625
	4.581250000000001			9.9
	4.05625			8.899999999999999
	4.7125			10.05625
	4.69375			9.512500000000001
	4.456250000000001			8.6375
Nov.	4.124999999999999			9.043750000000001
	3.5500000000000003			7.975
	3.0499999999999994			7.587500000000001
	3.275			7.506249999999999
	3.6125			7.85625
	3.075			7.006249999999999
	1.5124999999999997			6.00625
	1.4187499999999995			5.512499999999998
	1.76875			6.874999999999999
	1.65			6.4624999999999995
	1.3749999999999998			5.731249999999999
	1.8249999999999997			5.7437499999999995
	1.4374999999999998			5.4125000000000005
	1.4500000000000002			5.768750000000001
	0.275			4.7437499999999995
	-0.40000000000000013			3.8062500000000004
	-0.89375			3.54375
	-0.7812500000000001			3.8374999999999995
	-0.8			3.4687499999999996
	-0.3062499999999999			3.7624999999999997
	0.07499999999999994			4.00625
	0.5625			4.25
	0.99375			4.793749999999999
	1.35			5.081250000000001
	1.46875			4.94375
	0.6000000000000001			4.375
	0.99375			4.6312500000000005
	0.48749999999999993			4.5375000000000005
	-0.5437500000000001			3.73125
	-0.2124999999999999			3.40625
Dec.	-0.4687499999999999			3.9875000000000003
	0.26874999999999993			4.325
	1.5875			5.250000000000001
	1.125			5.293749999999999
	1.2625000000000002			5.2875000000000005
	1.46875			5.456250000000001
	1.21875			5.0375
	1.4062499999999998			5.343749999999999
	2.36875			5.874999999999999
	1.8000000000000003			6.137499999999999
	1.9562500000000005			5.856249999999999
	1.9000000000000001			5.8875
	1.5125000000000002			4.85625
	0.675			4.90625
	0.7374999999999999			3.6812500000000004
	0.15			4.5687500000000005
	1.8933333333333333			6.126666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

40°C

Highest Temp

27 Jun. 26

-11°C

Lowest Temp

12 Jan. 26

Seasonal Breakdown

Hottest MonthAugust27.5°C

Coldest MonthJanuary-3.04°C

Wettest MonthMay2.01mm

Windiest MonthJuly21.48km/h

Berlin 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 Berlin historically?

August is historically Berlin's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2026-06-27.

2. What is the coldest month in Berlin historically?

January is Berlin's coldest month, with average minimum temperatures around -1°C. The all-time record low of -19°C was recorded on 2010-01-26.

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

Berlin's average annual rainfall is approximately 613.7mm, based on records spanning 17 years.

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

Berlin historically records approximately 198.1 rainy days per year. July 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 Berlin?

The all-time highest temperature recorded in Berlin is 40°C on 2026-06-27.

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

The all-time lowest temperature recorded in Berlin is -19°C on 2010-01-26.

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

Berlin experiences its strongest winds during January. The historic gust record of 51.1 kph was recorded on 2017-10-05.

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

Usually, Berlin's humidity peaks in January at around 86.1% and drops to its lowest in August at approximately 63.04%.

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

Berlin 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

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

Berlin 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

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