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

Frankenthal Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.18125	-0.9		6.956250000000002	2.6
	1.3125	-0.5		5.8187500000000005	3
	1.8312499999999998	-1.9		6.031250000000001	0.9
	1.7875000000000003	-2.3		5.7749999999999995	0.1
	1.15625	-3.6		5.60625	-0.1
	1.36875	-4.2		5.550000000000001	-0.4
	1.15625	-6		5.53125	-2
	2.05625	-3.1		5.718750000000001	0.9
	1.33125	1.8		5.94375	6.9
	1.2374999999999996	-2.5		5.2625	3.6
	0.06875	-3.5		4.73125	-0.6
	0.75	-1.6		4.825	3.2
	0.7937500000000002	2.1		5.53125	5.1
	0.5687500000000001	4.1		5.14375	8
Jan.	0.006250000000000096	5.8		5.0625	10.2
	-0.25000000000000006	4.4		4.550000000000001	9
	-0.7625000000000002	2.1		4.574999999999999	5.7
	-1.3437499999999998	1.6		4.20625	5.7
	-1.95	0.4		2.925	5.2
	-1.9500000000000002	-0.5		2.79375	4.9
	-2.04375	-1.3		3.2874999999999996	2.9
	-1.36875	-0.6		3.69375	4.2
	-0.5249999999999998	1.2		4.09375	5.4
	-0.2749999999999997	-0.4		4.1375	4.5
	-0.2500000000000001	-0.9		4.3125	3.3
	-0.36874999999999986	0.2		4.48125	1.3
	-0.1437500000000001	0.4		5.000000000000001	4.8
	0.25625	1.6		5.718749999999999	3.1
	0.41874999999999996	1.6		5.606249999999999	2.5
	0.375	0.9		6.043749999999999	4.4
	0.25625	2.8		5.44375	6.3
	0.5750000000000003	3.6		5.625	6.3
	0.66875	1.7		6.075	6.1
	1.3375000000000004	0.7		5.800000000000001	2
	0.65625	-0.3		6.074999999999999	5.5
	0.45	2.5		5.46875	7.1
	0.59375	1.1		5.862499999999999	5.4
	-0.48124999999999984	4.5		5.506249999999999	9.9
	-0.4187499999999998	2.3		5.593749999999999	7.8
	-0.6124999999999998	0.9		5.275	6.3
	-0.9874999999999996	1.5		4.7124999999999995	5.8
	-0.32499999999999996	6		4.70625	11.6
	-1.1562499999999998	6.6		5.037500000000001	9.1
	-1.3312500000000005	5.7		5.668750000000001	8.7
	-0.8375000000000001	0.6		6.412500000000001	5.7
Feb.	0.475	-0.8		6.731249999999998	3.9
	1.0375	1.4		8.806249999999999	6.4
	1.4000000000000001	1.6		8.1625	6.8
	1.6	0.6		8.35625	4.4
	1.33125	3.4		7.64375	5.6
	1.125	2.9		8.6125	5.7
	2.08125	6.4		8.8375	10.7
	2.4499999999999997	9.8		8.787499999999998	11.5
	2.4625	10		8.85	12.2
	1.85625	8.2		9.149999999999999	9.6
	1.5812500000000003	6.7		8.96875	14.7
	1.2249999999999999	7.3		8.056249999999999	17.4
	0.8374999999999999	8.1		7.831250000000001	17.9
	0.8499999999999999	8.1		8.65	13.9
	1.1812500000000001	6		8.900000000000002	13.1
	1.3312499999999998	5		8.81875	14
	1.3187500000000003	5.7		9.8125	14.6
	0.9500000000000002	6.1		10.0125	15
	1.2249999999999999	5.7		9.01875	16.1
	0.8375000000000001	5.9		9	14.7
	1.125	6.6		9.58125	16.6
	0.9000000000000001	6.7		10.60625	15.9
	2.5250000000000004	6.8		11.375	16.8
	2.4562500000000003	8.4		11.018749999999999	17.1
	2.6000000000000005	9		10.6625	13
	2.63125	7.1		10.93125	13.4
	2.8437499999999996	5.5		10.71875	14
	2.98125	4.2		10.6	10.5
Mar.	2.6	3.8		10.606250000000001	8.1
	3.1875	3.3		11.975	10
	2.9375000000000004	4.4		11.943750000000003	7.7
	3.35625	3		11.65	13.4
	4.05625	4.5		11.987500000000002	14.8
	3.2375000000000003	5.1		12.862499999999999	14.9
	3.6375	7.3		13.143749999999997	13.3
	3.40625	5		12.5125	14.5
	3.5250000000000004	5.1		13.268749999999999	15.1
	3.7062500000000003	6.1		13.700000000000001	16.6
	3.4625	5.4		13.18125	11.3
	3.73125	2.4		12.025	7.9
	3.156249999999999	0.5		13.2625	8.3
	3.925	1.4		14.5875	6.4
	5.1499999999999995	0.3		14.9875	8.5
	5.0874999999999995	4.1		14.637500000000001	9.6
	5.26875	2.5		13.968749999999998	9
	5.081249999999999	3		13.456249999999999	11
	3.78125	2.2		13.1875	14
	4.543749999999999	7.2		13.912499999999998	14.1
	4.518750000000001	9.8		13.69375	14.8
	4.4750000000000005	8.7		13.1375	17.8
	4.56875	5.2		14.068750000000001	15.3
	5.018750000000001	5.7		16.10625	18.4
	5.3125	5.8		15.35625	19.4
	5.187499999999999	7.1		16.393750000000004	19.7
	6.037499999999999	8.8		15.9875	13.5
	6.062499999999999	7.3		16.381249999999998	20.8
	5.80625	7.3		15.818750000000001	13.4
	6.46875	8.4		15.09375	9.8
	5.850000000000001	8.2		16.33125	15.5
Apr.	5.75	8.3		16.2375	18.2
	6.0625	10.3		15.924999999999997	18.5
	5.8125	9.9		15.562499999999998	22.2
	5.81875	14.3		15.706249999999999	21.6
	5.700000000000001	9.5		16.787499999999998	16.2
	6.187500000000001	7.1		17.14375	14.7
	6.2250000000000005	4.3		17.868750000000002	13.9
	6.775	5		17.63125	16.6
	7.150000000000001	5.4		17.825000000000003	19.6
	7.0249999999999995	6.4		17.975	19.9
	7.175	7.3		16.95625	20.4
	6.81875	6.9		15.8375	18.3
	6.0875	6.9		15.631250000000001	20.3
	6.487499999999999	9.6		17.65	21.5
	7.9312499999999995	8.2		18.675	19
	8.50625	6.1		17.537499999999998	17.6
	8.706249999999999	7.4		17.7	22.5
	8.13125	9.4		18.33125	25.3
	8.15625	13.9		17.21875	23.7
	7.5249999999999995	11.5		16.7375	22.6
	7.38125	12.9		17.7875	16.1
	7.86875	10.4		17.99375	18.6
	8.525	8.9		18.400000000000002	14.2
	8.700000000000001	6.5		18.9625	17.7
	9.95	7.8		20.2125	22.6
	9.912499999999998	10.9		20.08125	24.5
	10.35625	6.7		20.7125	13.7
	10.15	2.8		20.1875	12.3
	8.84375	5.4		18.4375	14.5
	9.206249999999999	6.2		18.46875	13.8
May	8.825000000000001	5.6		18.26875	13.5
	8.625	4		17.9875	14.8
	9.0625	5.1		18.15	16.6
	8.974999999999998	7.4		19.7	15.8
	9.537500000000001	7.4		20.15625	16.5
	10.425	11.1		20.09375	18.9
	11.0375	10.3		20.96875	22.2
	11.418750000000001	12.1		21.593749999999996	26.5
	11.187500000000002	14.3		20.95625	29.2
	10.512500000000001	16.9		20.381249999999998	30.4
	10.4125	15.7		20.19375	29.6
	10.75	16.1		20.493749999999995	31.7
	10.862499999999999	18.1		20.83125	30.5
	10.856250000000001	13.6		21.63125	26.7
	11.018749999999999	13.5		21.44375	29.6
	11.512500000000001	17.9		22.20625	30.9
	11.650000000000002	16.1		21.850000000000005	25.4
	12.2	13		21.606249999999996	24.9
	12.25625	14.4		22.799999999999997	25.7
	13.299999999999999	11.2		23.943749999999998	20.7
	13.318749999999998	14.3		23.825	18.5
	13.375	10.8		24.36875	20
	13.331249999999999	10.4		23.056250000000002	24.3
	13.187499999999998	11.7		23.325	22.5
	13.337500000000002	12.1		23.4125	25.1
	13.524999999999999	13.5		23.849999999999998	20.6
	13.725000000000001	10		24.0875	15.8
	13.53125	7.9		23.9125	19.1
	13.5375	11.8		23.531249999999996	16.7
	13.125	14.3		23.425	24
	12.9625	11.8		23.612500000000004	19.7
Jun.	13.881250000000001	8.9		23.85	22.4
	13.98125	12.9		23.625	27.5
	13.956249999999999	15.4		24.4	28.7
	15.031250000000002	17.4		25.8	33
	15.212500000000002	20.8		25.837500000000002	37.2
	14.74375	18.9		24.199999999999996	34.9
	13.825	20.4		24.668749999999996	35.1
	14.387499999999998	19.4		24.81875	34.2
	14.2375	19.8		23.656250000000004	33.2
	13.675	21.1		24.993749999999995	35.4
	14.75625	22.1		25.643749999999997	37.5
	15.075000000000001	23.9		26.525	40.1
	15.1	21.6		25.868750000000002	40.9
	15.318750000000003	23.1		26.45	38
	16.131249999999998	20.4		26.53125	29.3
	15.725000000000003	19.6		26.4625	28.9
	14.91875	19.1		24.96875	28.2
	14.875	15.5		26.262500000000003	29.5
	15.387500000000003	13.2		25.668749999999996	27
	15.056250000000002	13.2		26.137500000000003	29
	15.731250000000001	17.8		26.54375	28.1
	15.99375	15.7		26.39375	31
	15.262499999999998	18.2		25.1625	33.2
	14.274999999999997	18.4		24.7375	26
	14.931250000000002	15.8		25.31875	30.8
	15.318749999999998	17		26.424999999999997	32.3
	15.64375	17.9		26.26875	33.2
	15.7875	17.4		26.068750000000005	32.5
	15.1625	19		24.712500000000006	33.9
	15.168750000000003	21.4		25.224999999999998	34.7
Jul.	14.943750000000001	17.9		25.125000000000004	31.1
	14.8	17.4		26.18125	32.9
	15.54375	17.9		26.15	31
	15.837499999999997	15.9		27.356250000000003	28.6
	16.693749999999998	14.5		28.93125	24.8
	17.056250000000002	11.5		28.14375	24
	16.86875	12.2		27.26875	26.2
	16.7125	14		26.53125	25.6
	16.581250000000004	11.9		26.825	25.3
	16.34375	12.7		26.712500000000006	28
	16.193749999999998	17.2		26.55625	33.4
	16.381249999999998	19.8		27.249999999999996	30.7
	17.025	17.2		26.71875	27.6
	16.749999999999996	15.5		25.83125	30.2
	16.18125	18.4		25.268749999999997	37.3
	15.575	22.3		25.562499999999993	40.2
	15.7375	19.5		26.2125	35.3
	16.79375	18.5		27.543749999999996	27.5
	16.63125	19		28.000000000000007	31.7
	17.38125	20.4		26.181250000000002	37.1
	16.974999999999998	20.2		26.5625	36.8
	16.425	20.7		26.125	31.8
	15.793750000000001	18.9		25.856250000000003	28.8
	15.7375	14.8		26.712500000000002	27.9
	16.2375	14.5		26.012500000000003	31.6
	16.275000000000002	19.1		27.0125	35.9
	15.850000000000001	19		25.968749999999996	35.1
	15.59375	18.6		26.187500000000007	30.3
	15.643749999999999	15.8		26.568749999999998	32.5
	16.30625	17.2		27.375	34.9
	16.612499999999997	19.5		27.900000000000002	36.8
Aug.	17.48125		22.2	26.68125		38.2
	16.2		21.2	26.15625		32.5
	16.493750000000002		18.2	25.412499999999998		25.3
	16.1375		18.6	25.51875		31.3
	15.837499999999999		17.2	25.49375		33.9
	15.637500000000001		16.7	26.318749999999998		26.4
	15.875000000000002		17.7	27.493750000000002		26.2
	15.95		15.3	27.1875		27.1
	15.706250000000002		15.4	25.937499999999996		26.3
	15.2		15.4	25.549999999999997		26
	15.331249999999999		15.3	25.8375		25.5
	15.475000000000001		15.3	26.16875		26.1
	15.462499999999999		15.4	24.443749999999998		25.2
	14.875		15.3	24.75		24.7
	14.925		14.9	25.35		24.9
	15.44375		15	24.918750000000003		24.2
	14.8125		14.4	23.7125		23.8
	13.468750000000002		13.8	22.837500000000002		23.3
	13.5375		13.3	23.362499999999997		23.7
	13.824999999999998		14.1	24.39375		24.3
	14.143749999999999		14.3	25.043749999999996		24.3
	14.7		14.2	24.8625		24.3
	14.293750000000003		13.5	24.874999999999996		24
	13.981250000000001		13.6	22.349999999999998		23.3
	13.425		13.7	22.95		23.5
	13.65625		13.7	23.03125		22.9
	13.387500000000003		13.5	23.2375		23.3
	13.443749999999998		13.2	23.525000000000002		23
	13.412500000000001		12.8	23.325000000000003		22.8
	13.493749999999999		13.2	21.70625		21.7
	13.012500000000001		13.1	21.80625		21.6
Sep.	12.975			21.681250000000002
	12.200000000000001			21.256249999999998
	11.943749999999996			20.75625
	11.674999999999999			21.075
	11.549999999999997			20.86875
	11.3125			21.193749999999998
	10.649999999999999			21.099999999999998
	10.0125			20.13125
	10.25			20.55625
	10.75			19.63125
	10.825			19.34375
	10.712499999999999			19.01875
	11.118749999999999			19.06875
	10.381250000000001			19.081249999999997
	10.643749999999999			19.187500000000004
	9.856249999999998			18.249999999999996
	9.599999999999998			18.762499999999996
	9.675			18.462499999999995
	9.593750000000002			18.943749999999998
	9.625			17.65
	9.737499999999999			17.225
	9.46875			16.799999999999997
	9.287500000000003			16.9375
	9.850000000000001			17.150000000000002
	8.925			17.006249999999998
	9.0375			17.074999999999996
	8.487499999999999			16.6
	8.0875			15.9625
	8.45			16.96875
	7.668750000000001			16.50625
Oct.	7.5874999999999995			15.112499999999999
	7.9624999999999995			15.268749999999999
	8.06875			15.693750000000001
	8.11875			16.55
	8.368749999999999			15.768749999999997
	9.012500000000001			15.837500000000004
	8.15625			15.506250000000001
	7.550000000000001			14.581249999999999
	7.3375			14.9125
	7.2125			14.5875
	7.8875			15.11875
	8.143749999999999			15.756250000000003
	7.375000000000001			13.556249999999999
	6.562500000000001			12.8625
	6.5375			13.887500000000001
	6.874999999999999			13.45
	6.725			13.874999999999998
	6.462500000000001			14.04375
	7.0375			13.64375
	7.137499999999999			12.918750000000001
	7.137499999999999			13.287499999999998
	6.031250000000001			11.89375
	5.775			11.825
	6.131249999999999			11.5625
	5.86875			11.350000000000003
	5.606250000000001			11.068750000000001
	5.0062500000000005			10.362499999999999
	4.925			9.96875
	4.8812500000000005			10.287500000000001
	4.6125			10.83125
	4.762500000000001			10.343749999999998
Nov.	4.54375			9.724999999999998
	3.5999999999999996			8.90625
	4.05625			8.987499999999999
	4.231249999999999			9.05
	4.5062500000000005			9.431249999999999
	3.19375			8.7375
	2.16875			7.218749999999999
	1.7937499999999997			6.893749999999999
	1.81875			7.800000000000002
	2.9562500000000003			7.7875000000000005
	2.24375			7.5125
	2.475			7.218749999999999
	2.1062499999999997			6.543749999999998
	2.0625			6.7124999999999995
	1.43125			6.3875
	1.2			5.5
	0.9374999999999998			5.487500000000001
	0.29374999999999984			5.3187500000000005
	0.46875			4.71875
	0.07499999999999996			5.11875
	0.8187499999999999			5.581250000000001
	1.46875			5.650000000000001
	2.34375			6.4312499999999995
	1.8875			6.20625
	1.2312500000000002			5.7562500000000005
	0.76875			5.300000000000001
	1.64375			5.4125000000000005
	1.2562499999999999			5.625
	0.73125			5.581249999999999
	1.2375			5.3187500000000005
Dec.	1.39375			5.743750000000001
	1.325			6.231249999999999
	1.6500000000000004			6.4125
	1.61875			6.3374999999999995
	1.7125000000000001			6.95
	1.925			6.793749999999999
	2.43125			6.5687500000000005
	3.6187499999999995			7.449999999999998
	4.41875			8.59375
	4.1312500000000005			8.518749999999999
	2.80625			7.237499999999999
	2.2062500000000003			6.1875
	1.53125			5.9
	0.5874999999999998			5.349999999999999
	0.8125			5.44375
	1.5687500000000003			6.41875
	2.6199999999999997			6.886666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

41°C

Highest Temp

27 Jun. 26

-6°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust32.76°C

Coldest MonthJanuary-0.09°C

Wettest MonthFebruary2.46mm

Windiest MonthJuly19km/h

Frankenthal 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 Frankenthal historically?

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

2. What is the coldest month in Frankenthal historically?

January is Frankenthal'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 Frankenthal over the past 17 years?

Frankenthal's average annual rainfall is approximately 721.8mm, based on records spanning 17 years.

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

Frankenthal historically records approximately 198.5 rainy days per year. May has the highest number of rain days at an average of 18.2 days.

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

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

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

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

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

Frankenthal experiences its strongest winds during February. The historic gust record of 49.8 kph was recorded on 2017-01-13.

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

Usually, Frankenthal's humidity peaks in December at around 83.8% and drops to its lowest in August at approximately 63.9%.

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Frankenthal Historic Weather Records
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Frankenthal Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

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World Top Hottest Cities Belong to India - April 2026

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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?

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

Frankenthal 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

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