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

Frankfurt Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.3937500000000003	1.2		6.2125	2.7
	1.6124999999999998	0.1		5.418749999999999	2.6
	1.6375	-1.6		5.7124999999999995	0.6
	1.50625	-1.4		5.2875000000000005	1
	1.1062499999999997	-3.5		5.074999999999999	-0.6
	1.275	-4.5		5.1187499999999995	-1.2
	1.1250000000000002	-6		5.1187499999999995	-2.8
	1.83125	-3.6		5.312499999999999	0.3
	1.3125	0.9		5.518750000000001	5
	0.7750000000000001	-4.2		4.825	2.3
	-0.006249999999999992	-5.2		4.15625	-1.9
	0.75	-2.9		4.612500000000001	1.9
	0.73125	1		4.91875	2.8
	0.39375000000000016	2.1		4.54375	4.7
Jan.	0.0062500000000000125	4.2		4.5875	7.4
	-0.1250000000000001	2.8		4.0874999999999995	7.3
	-0.875	2.6		3.54375	5.6
	-1.2125000000000004	1.1		3.6062499999999993	5.1
	-1.7374999999999996	-0.3		2.86875	5.1
	-1.875	-0.8		2.86875	4.5
	-1.84375	-1.5		3.0374999999999996	3.5
	-1.225	-1		3.3187500000000005	3.4
	-0.23124999999999993	0.5		3.4812500000000006	4.7
	-0.4562500000000002	-0.8		3.71875	4.2
	-0.54375	-1.2		3.51875	2.9
	-0.5499999999999997	-0.4		3.8375	1
	-0.07499999999999984	-2		4.51875	3.4
	0.29375000000000007	0.7		5.093749999999999	1.5
	0.5875	0.9		5.075	2
	0.2624999999999999	0.3		5.56875	3
	0.012499999999999803	0.9		4.6187499999999995	4.3
	0.3374999999999999	1.4		4.93125	5
	0.3375	0.1		5.5562499999999995	3.9
	1.0125000000000002	-0.4		5.55625	1.7
	0.75625	-0.4		5.2125	5.6
	0.39375	2.1		5	6.2
	0.2875000000000002	0.5		5.187499999999999	5.5
	-0.95	3.4		4.84375	8.3
	-1.2937500000000002	2.9		4.76875	7
	-0.8625	0.3		4.6499999999999995	6
	-0.9999999999999998	0.8		4.58125	6.7
	-0.6125000000000008	5		4.25	10.9
	-0.9500000000000004	6.3		4.5249999999999995	9.3
	-1.3125	4.9		5.2125	7.7
	-0.59375	-0.4		5.5875	4.7
Feb.	0.5187499999999999	-1.6		6.331250000000001	3.2
	1.0124999999999997	0.7		8.075	5
	1.1375000000000002	1.5		7.825000000000001	6.6
	1.7437500000000004	0.4		7.7437499999999995	4.1
	1.43125	1.6		7.043749999999999	2.6
	0.9437500000000002	-3.1		7.931249999999999	3.8
	2.1312499999999996	4.3		8.193750000000001	9.4
	1.9562499999999998	8.9		8.31875	11.5
	2.25	8.4		7.849999999999999	11.8
	1.71875	7		8.325000000000001	9
	1.5062499999999999	6.6		8.4625	14.2
	1.34375	6.7		7.59375	16.3
	0.925	7.9		7.3625	16.9
	0.6437499999999997	8.9		7.94375	13.9
	1.1062500000000002	5.3		8.5	12.9
	1.18125	4.7		8.4125	14.1
	1.4374999999999996	5.3		9.156250000000002	14.7
	1.1125	5.9		9.531250000000002	14.8
	1.13125	5.6		8.51875	15.9
	0.7875000000000001	5.6		8.69375	16.1
	0.9624999999999999	6.3		9.131250000000001	16.4
	0.8562500000000002	6.4		9.675000000000002	16.2
	2.21875	6.7		10.81875	16.2
	2.05625	8.1		10.712499999999999	17.3
	2.425	9		10.31875	12.8
	2.75625	6.7		10.018749999999999	12.9
	2.71875	6.1		9.95625	13.5
	2.65625	4		9.925	10
Mar.	2.5250000000000004	3.6		10.031250000000002	8.2
	2.675	4.3		11.237499999999999	11.3
	2.7875000000000005	4.3		10.787499999999998	6.7
	3.20625	2		11.350000000000001	13.9
	3.3312500000000003	4.1		11.843749999999998	15
	2.6687499999999997	4.9		12.393749999999999	14.3
	3.556250000000001	6.1		12.5	12.5
	3.2375	4.5		11.9875	14.9
	3.5937500000000004	4.7		12.874999999999998	15.5
	3.6187500000000004	6.2		12.974999999999998	16.2
	3.4124999999999996	5.1		12.93125	11.8
	3.6249999999999996	2.4		11.51875	7.4
	2.9187499999999993	0.3		12.662499999999998	8.4
	3.9062500000000004	2		13.9375	4.9
	5.187500000000001	0.3		14.162500000000001	9.1
	4.518750000000001	3.5		14.06875	8.9
	5.193749999999999	3.2		13.45625	9.2
	4.81875	1.7		12.700000000000003	11.5
	3.5062499999999996	2		12.549999999999999	14.4
	4.2375	6.8		13.350000000000001	14
	4.512499999999999	10		13.03125	15.7
	4.25	9		12.90625	17.2
	4.081250000000001	5.5		13.612499999999997	15.6
	5.09375	4.7		15.475000000000003	17.1
	5.2124999999999995	4.8		14.862499999999999	18.2
	5.2437499999999995	6.4		16.125	18.1
	5.943749999999999	8.3		15.543750000000003	13.4
	5.76875	5.7		15.725	19.4
	5.712500000000001	7.5		15.06875	13.6
	6.287499999999999	8		14.43125	10.1
	5.36875	8.1		15.5	15.7
Apr.	5.3812500000000005	6.4		15.699999999999998	18.1
	5.643750000000001	10.8		15.65625	19.1
	5.7875000000000005	8.9		14.925	21.7
	5.475	14		15.125	21.5
	5.58125	8.9		16.293750000000003	16.3
	5.88125	5.7		16.9	13.2
	5.975	4.7		17.212500000000002	14.5
	6.7124999999999995	3.6		17.281249999999996	16.5
	7.037500000000001	4.9		17.512499999999996	20.2
	6.6625	5.1		17.212500000000002	20.5
	7.0375	6.2		16.66875	20.7
	6.75625	6.4		15.23125	16.8
	5.718749999999999	5.6		14.987500000000002	18.5
	6.34375	7.9		16.80625	20.4
	7.55	6.3		18.19375	18.1
	8.237499999999999	4.6		17.125	17.8
	8.23125	6.2		17.450000000000003	21.9
	8.281250000000002	9		17.931250000000002	25.3
	7.8062499999999995	13.4		16.7375	23.3
	7.35	11.6		15.75	23
	6.999999999999999	13		17.16875	18.2
	7.587499999999999	11.1		17.4125	16.7
	8.587499999999999	8.8		17.8625	13.5
	8.625	5.3		18.281249999999996	18.3
	9.468750000000002	6.8		19.724999999999998	21.3
	9.606250000000001	9.2		19.79375	22.8
	10.343750000000002	6.4		19.937500000000004	12.6
	9.993749999999999	3.3		19.4875	12.1
	8.61875	5.5		18.23125	11.3
	8.8	5.3		18.41875	13.2
May	8.2	4.8		17.7625	13.4
	8.19375	4		17.75	14.4
	8.756250000000001	5.3		17.49375	16.2
	8.50625	6.4		19.04375	15.2
	9.425	7		19.75	17.1
	10.418749999999998	10.2		19.799999999999997	19.3
	11.025	9.6		20.925	21.3
	11.218750000000002	11.3		21.10625	26
	11.031249999999998	13.7		20.4375	29.3
	10.424999999999997	16.4		19.468750000000004	30.7
	10.168750000000003	14.4		19.64375	28.6
	10.53125	15.6		19.9625	30.7
	10.68125	16.4		19.962500000000002	27.6
	10.718749999999998	11.7		20.89375	24.8
	10.962500000000002	11.6		20.475	30
	11.14375	16.1		21.349999999999998	29.5
	11.187499999999998	16.2		21.4	24.5
	11.668750000000003	14.7		20.96875	23
	11.65	13.9		21.975	25.4
	12.8125	11.6		23.312500000000004	20.2
	12.756250000000001	13.8		23.51875	18.5
	13.187499999999998	10.6		23.468749999999996	20.2
	12.7625	10.4		22.662500000000005	23.3
	12.637500000000003	11.8		22.6875	22.6
	13.33125	11.4		22.775	23.9
	13.21875	13.3		23.499999999999996	21.2
	13.3625	9.8		23.587500000000002	16.2
	13.54375	7.8		23.287499999999998	18.1
	13.106250000000001	11.6		22.706250000000004	17.4
	12.543750000000001	13.6		22.525000000000002	24.6
	12.7	12.1		23.1	18.8
Jun.	13.324999999999998	9.1		23.112499999999997	20.8
	13.73125	11.9		22.525000000000002	21.1
	13.362500000000002	14.5		23.712499999999995	27.1
	14.825	16.8		25.593749999999996	32.2
	15.275	19.4		25.08125	35.9
	14.250000000000002	19.6		23.525	34.3
	13.45	21.1		23.7125	34.6
	13.9875	17.9		24.09375	33.9
	13.90625	19.6		22.831249999999997	32.9
	13.54375	19.6		24.006249999999998	34.2
	14.512500000000001	21.6		24.712500000000002	36.3
	14.83125	22.5		25.40625	38.9
	14.381250000000003	23.7		25.13125	40.1
	14.800000000000002	23.6		25.7125	37.4
	15.8625	21.2		25.956249999999994	28.5
	15.18125	19		25.674999999999997	28.8
	14.7125	17.7		23.981250000000003	28
	14.656250000000002	14.9		25.300000000000004	29.2
	14.837499999999999	13		24.856249999999996	25.6
	14.662500000000001	12.7		25.637500000000003	28.6
	15.175	18.1		25.918749999999996	25.8
	15.718750000000002	16.5		25.556250000000002	30.3
	14.968750000000004	19.1		24.7	31.8
	13.78125	18.8		24.312500000000004	24.6
	14.768749999999997	15.3		24.250000000000004	29.7
	14.5	15.8		25.418750000000003	31.3
	15.399999999999997	16.6		25.268750000000004	31.6
	15.45	16.6		25.375	32.5
	14.668750000000001	17.5		23.675000000000004	33.2
	14.587499999999999	17.6		24.024999999999995	33.7
Jul.	14.649999999999999	16.6		24.04375	29.5
	14.35	15.8		24.993749999999995	32.1
	15.1875	18.4		25.4	29.3
	15.462500000000002	16		26.512500000000003	27.1
	16.13125	14.7		28.193749999999998	24.5
	16.65625	10.9		27.45	24.2
	16.71875	11.5		26.137500000000003	26.1
	16.375	13.4		26.143749999999994	23.2
	16.193749999999998	12.4		26.26875	24.7
	15.999999999999998	11.8		26.306249999999995	28.5
	15.775000000000002	14.9		25.9875	32.9
	15.962499999999999	17.8		26.65	29.3
	16.875	16.5		25.693749999999998	25.6
	16.275000000000002	14.4		25.325000000000003	30
	16.325000000000003	17.3		24.468750000000004	35.9
	15.3875	21		24.643750000000004	39.3
	15.512500000000001	19.4		25.20625	32.7
	16.3375	18.2		26.5125	26.4
	16.2125	16.9		27.081249999999997	30.1
	16.924999999999997	17.3		25.587499999999995	36.2
	16.79375	20.1		25.793749999999996	35.6
	16.049999999999997	21.8		25.112500000000004	31.7
	15.312500000000002	19.2		25.275	28.3
	15.40625	14.3		26.09375	26.9
	16.09375	13.3		25.125000000000004	30.5
	15.93125	17.5		26.30625	34.9
	15.706249999999997	19.9		25.349999999999998	34.2
	15.437500000000002	15.7		25.375000000000004	29
	15.243749999999999	14.1		25.66875	31.3
	16.137500000000003		15.9	26.36875		33.7
	16.3		18.2	27.075000000000003		35.9
Aug.	16.924999999999997		20.2	25.79375		37.8
	16.1		19	25.237499999999997		23.9
	15.85		16.8	24.706250000000004		24.1
	15.937500000000002		16.1	24.85		25.8
	15.40625		16.1	24.83125		28.4
	15		18	25.41875		25.6
	15.15625		15.1	26.543750000000003		25.8
	15.525		15.1	26.318749999999998		25.7
	15.743749999999999		15.6	25.225		25.6
	14.94375		15.2	25.012500000000003		25.5
	15.08125		15	25.06875		24.7
	15.481250000000001		15.4	25.075000000000003		24.9
	15.287500000000001		15.4	23.599999999999998		24.3
	14.506250000000001		15	23.843750000000004		23.9
	14.543750000000001		14.4	24.737499999999997		24
	15.212499999999999		14.7	24.3		23.9
	14.53125		14	23.331250000000004		23.1
	13.281249999999998		13.6	21.85		22.5
	13.099999999999998		13.1	22.568749999999998		22.8
	13.45625		13.7	23.51875		23.4
	13.937500000000002		13.9	24.356250000000003		23.6
	14.55		14.1	24.125		23.6
	14.2625		13.3	24.0875		23.4
	13.675		13.3	21.881249999999998		22.7
	12.975		13.4	22.018749999999997		22.6
	13.481250000000001		13.5	22.406250000000004		22.3
	13.174999999999999		13.4	22.38125		22.5
	13.306249999999999		12.8	22.7375		22.3
	13.09375		12.7	22.818749999999998		22.1
	13.14375			20.749999999999996
	12.450000000000001			20.981249999999996
Sep.	12.749999999999998			21.443749999999998
	11.881250000000001			20.80625
	11.793750000000001			20.3
	11.481250000000001			20.343749999999996
	11.712500000000002			20.34375
	11.31875			20.375
	10.181249999999999			20.30625
	9.84375			19.568749999999998
	9.912500000000001			19.825000000000003
	10.481250000000001			19.018750000000004
	10.506250000000001			18.600000000000005
	10.36875			18.2875
	10.69375			18.21875
	10.456250000000002			18.262500000000003
	10.500000000000002			18.6625
	9.481249999999998			17.837500000000002
	9.231250000000001			18.21875
	9.45			17.750000000000004
	9.375			18.29375
	9.2875			16.63125
	9.387500000000003			16.25
	9.36875			16.012499999999996
	9.49375			16.23125
	9.50625			16.362499999999997
	8.69375			16.1375
	8.75			16.55625
	8.368749999999999			16.01875
	7.6125			15.431249999999999
	8.28125			15.887500000000001
	7.406250000000001			15.662499999999998
Oct.	7.393750000000001			14.587500000000002
	7.68125			14.381249999999998
	8.00625			15.231250000000001
	7.51875			15.762500000000001
	7.868749999999999			15.262500000000001
	8.88125			14.9625
	7.893749999999999			14.781249999999998
	7.825			14.2375
	7.368750000000001			14.456249999999999
	7.53125			13.950000000000003
	8.06875			14.025
	8.29375			14.781249999999998
	7.0874999999999995			12.95625
	6.30625			12.256249999999998
	6.48125			13.118749999999999
	6.9312499999999995			12.674999999999999
	6.637499999999999			13.443750000000001
	6.868749999999999			13.424999999999997
	7.206250000000001			12.843750000000002
	7.05			12.687499999999998
	6.90625			12.35625
	6.062500000000001			11.331249999999999
	5.68125			11.45625
	5.91875			11.174999999999999
	5.9			10.93125
	5.531249999999999			10.59375
	5.04375			10.25
	4.55625			9.375
	4.749999999999999			9.8
	4.675			10.3
	4.65625			9.7125
Nov.	4.6375			9.63125
	3.4687500000000004			8.543750000000001
	3.8249999999999993			8.268750000000002
	4.4			8.19375
	4.525			8.737499999999999
	3.2624999999999997			7.962499999999999
	2.19375			6.968749999999999
	1.8375			6.28125
	2.2249999999999996			7.6625
	2.71875			7.437500000000001
	2.1875			6.84375
	2.275			6.675
	1.86875			5.925
	1.75			6.125
	1.35			5.800000000000001
	0.9375			5.1625000000000005
	0.7125000000000001			4.9437500000000005
	-0.0062500000000000056			4.45
	0.07499999999999984			4.31875
	-0.07499999999999993			4.3625
	0.675			4.574999999999999
	1.0125000000000002			4.93125
	2.0562500000000004			5.775
	1.41875			5.5625
	1.11875			5.1625000000000005
	0.66875			4.887500000000001
	1.63125			4.9312499999999995
	0.95625			5.175000000000001
	0.6125			4.875
	0.79375			4.5625
Dec.	0.9124999999999999			5.19375
	1.3437500000000004			5.59375
	1.875			5.981249999999999
	1.65625			5.5687500000000005
	1.76875			6.3875
	1.5500000000000003			6.300000000000001
	2.3625000000000003			6.206250000000001
	3.09375			6.8
	4.000000000000001			7.800000000000001
	3.71875			7.9375
	2.5687499999999996			6.7562500000000005
	1.725			5.68125
	1.45			5.7124999999999995
	0.8187499999999999			4.9375
	0.6187499999999999			4.956249999999999
	1.13125			5.6625
	2.7933333333333334			6.359999999999999

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

40°C

Highest Temp

27 Jun. 26

-6°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust31.26°C

Coldest MonthJanuary-0.7°C

Wettest MonthFebruary2.59mm

Windiest MonthJuly17.41km/h

Frankfurt 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 Frankfurt historically?

August is historically Frankfurt's hottest month, with average maximum temperatures around 26°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2026-06-27.

2. What is the coldest month in Frankfurt historically?

January is Frankfurt's coldest month, with average minimum temperatures around 0°C. The all-time record low of -13°C was recorded on 2010-12-26.

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

Frankfurt's average annual rainfall is approximately 695.9mm, based on records spanning 17 years.

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

Frankfurt historically records approximately 198.8 rainy days per year. December has the highest number of rain days at an average of 19.3 days.

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

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

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

The all-time lowest temperature recorded in Frankfurt is -13°C on 2010-12-26.

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

Frankfurt 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 Frankfurt during a year?

Usually, Frankfurt's humidity peaks in December at around 84.7% and drops to its lowest in August at approximately 64.7%.

Recent Blogs On Weather

See all blogs

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

Frankfurt 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

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

Frankfurt 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

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