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

Heidelberg Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.3	-1.6		6.918749999999999	2.2
	1.48125	0.2		5.8500000000000005	2.8
	1.56875	-2.3		6.168749999999999	0.4
	1.3625	-2.5		5.71875	0.2
	0.93125	-3.5		5.51875	-0.4
	1.34375	-3.8		5.543750000000001	-0.4
	1.3187499999999999	-6.3		5.5375	-2
	2.0437499999999997	-3		5.643750000000001	0.7
	1.3124999999999998	1.4		5.8375	6.5
	0.9562499999999999	-2		5.2625	3.6
	0.006250000000000089	-3.8		4.725	-0.6
	0.5500000000000002	-1.9		4.831250000000001	2.4
	0.7749999999999999	1.3		5.606249999999999	4.9
	0.6812499999999999	3		5.23125	7.5
Jan.	-0.19374999999999992	5.3		5.0125	9.7
	-0.24375000000000013	4.4		4.593750000000001	9.3
	-0.7875	2.1		4.55625	5.8
	-1.2499999999999996	2.1		4.4875	5.9
	-2.0437499999999997	0.8		3.0562499999999995	5.7
	-1.9625000000000001	0.2		3.1375000000000006	5.4
	-2.1250000000000004	-0.7		3.4062500000000004	3.6
	-1.2875	-0.1		3.8687499999999995	4.9
	-0.5000000000000003	1.4		4.09375	6.2
	-0.03749999999999998	0.4		4.41875	4.6
	-0.2750000000000001	-0.3		4.3187500000000005	3.9
	-0.11249999999999977	0.3		4.46875	1.3
	0.0625	1		5.174999999999999	5.5
	0.38125	1.6		5.85625	3.7
	0.4624999999999998	1.7		5.5687500000000005	3
	0.425	1.4		6.150000000000001	4.8
	0.3937499999999998	2.6		5.61875	6.5
	0.9625000000000004	2.7		5.5625	6.3
	0.8687500000000002	2.2		6.14375	7
	1.3749999999999998	1		5.79375	2.8
	0.69375	0.9		6.137500000000001	6.2
	0.525	2.8		5.6125	7.5
	0.625	1.7		6.218749999999999	5.7
	-0.15000000000000005	5		5.5375	9.9
	-0.36875	2.8		5.949999999999999	8.4
	-0.45625	1.6		5.5375	7.2
	-0.83125	2		4.925	5.9
	-0.056249999999999634	6		4.7875	11.2
	-0.75	6.6		5.1125	9.1
	-1.0625000000000002	5.8		5.85625	8.9
	-0.60625	1		6.74375	6
Feb.	0.35625	-0.4		6.9375	4.1
	1.34375	2.3		8.9125	6.6
	1.6187500000000001	2.1		8.33125	6
	1.5875	0.9		8.631250000000001	4.4
	1.55	3.6		7.69375	6
	1.30625	3.1		8.725000000000001	5.5
	2.175	6.3		9.01875	10.4
	2.3125	9.6		8.850000000000001	11.6
	2.48125	10		8.912500000000001	12.1
	1.9875000000000003	8.7		9.399999999999999	9.7
	1.8562499999999997	6.9		9.162499999999998	14.8
	1.25	7.8		8.16875	17.2
	1.00625	8.5		7.96875	17.7
	0.9437499999999999	8.7		8.7125	14.2
	0.925	6.6		8.9625	13.2
	1.4500000000000002	5.6		9.068749999999998	14.4
	1.14375	6.3		10.250000000000002	15
	1.30625	6.7		10.162500000000001	15
	1.4249999999999998	6.3		9.2	16.5
	0.95	6.8		9.15625	15.1
	1.0562500000000001	7.4		9.625	16.8
	1.0125	7.3		10.73125	16.3
	2.6562500000000004	7.6		11.312500000000002	16.9
	2.5375	8.6		11.01875	17
	2.56875	9		10.66875	13.1
	2.66875	8.1		10.9625	13.5
	3.08125	5.6		10.8375	14.5
	3.0687499999999996	4.3		10.4375	10.7
Mar.	2.85625	4.1		10.693750000000001	7.9
	3.5625	3.3		12.29375	10
	3.2624999999999997	4.6		12.206249999999999	8.2
	3.468750000000001	3.9		11.94375	13.3
	4.1375	5.5		12.274999999999999	14.6
	3.4625	5.9		13.0625	15.2
	3.70625	7.3		13.41875	13.3
	3.60625	5.6		12.793749999999998	14.4
	3.7562500000000005	5.9		13.225	15.4
	3.6625	6.7		13.874999999999998	16.5
	3.7	5.5		13.25	10.8
	3.6937500000000005	2.9		12.243749999999999	8.5
	3.3874999999999997	1.6		13.5125	8.9
	3.8437499999999996	1.6		14.693750000000003	7.4
	5.099999999999999	0.9		15.375	8.4
	5.362499999999999	3.7		14.943750000000001	9.5
	5.40625	2.8		14.2125	9
	5.143749999999999	2.2		13.643749999999999	9.5
	4.043749999999999	1.5		13.20625	12.6
	4.80625	6.6		14.218749999999998	13.5
	4.6375	8.5		13.825	13.3
	4.54375	7.7		13.131250000000003	17.6
	4.55625	4.9		14.09375	15
	5.231250000000001	5.5		16.33125	17.7
	5.4624999999999995	5		15.406250000000002	17.7
	5.45	6.1		16.587500000000002	18.7
	6.125	7.7		16.206250000000004	13.3
	6.11875	6.5		16.64375	19.7
	6.00625	6.5		15.950000000000003	12.1
	6.424999999999999	7.9		15.243749999999999	9.8
	5.86875	7.3		16.50625	13.4
Apr.	5.918749999999999	8.3		16.249999999999996	16.7
	6.35625	9.7		15.95625	18
	6.0562499999999995	9.5		15.6375	21.3
	5.856250000000001	13.4		15.768750000000002	20.9
	5.699999999999999	8.5		16.75	15.5
	6.04375	6		17	14.4
	6.2375	2.7		17.875	12.5
	6.9624999999999995	4.6		17.71875	15.3
	7.3500000000000005	4.4		17.699999999999996	19
	6.78125	5.4		17.931249999999995	19.5
	7.2375	6.7		17.16875	19.9
	6.925	6.1		15.906250000000002	18.3
	6.1187499999999995	6		15.706249999999999	19.5
	6.525	8.9		17.625	20.2
	8.16875	7.3		18.962500000000002	17.7
	8.775	4.6		17.462500000000002	16.3
	8.568750000000001	6.3		17.66875	21.1
	8.275	8.4		18.4875	24.4
	8.19375	12.8		17.25625	22.9
	7.8125	10.9		16.787499999999998	21.8
	7.6000000000000005	12.2		17.90625	16.8
	8.2	9.6		18.075	17.4
	8.643749999999999	8.4		18.387500000000003	13.5
	8.98125	5.7		19.2125	17.6
	9.931250000000002	7.4		20.45	21.9
	9.981249999999998	10.3		20.21875	23.3
	10.5625	6.1		20.73125	13.1
	10.3125	1.8		20.075	11.1
	9.225	4		18.1	13.7
	9.175	5.6		18.475	13.3
May	8.825	4.9		18.281249999999996	12.2
	8.875	3.3		17.91875	13.3
	9.16875	4.3		18.243750000000002	16.2
	9.0625	6.8		19.768749999999997	14.1
	9.40625	6.6		20.19375	16.4
	10.64375	9.8		20.093749999999996	17.4
	11.03125	9.7		21.1	21.8
	11.200000000000001	11.9		21.562499999999996	25
	11.181249999999999	13.9		20.91875	28.5
	10.48125	16.7		20.53125	29.8
	10.643750000000002	15.7		20.3875	28.8
	10.9375	15.6		20.43125	29.9
	10.81875	17.3		20.89375	29.3
	11.375	12.8		21.825	25.8
	11.3375	12.7		21.54375	28.6
	11.337500000000002	16.8		22.156250000000004	29
	11.531249999999998	15.8		21.725	23.4
	12.1625	13.1		21.54375	24.2
	12.3375	14.1		22.7125	24.9
	13.325	10.7		23.64375	19.9
	13.675	12.6		23.85	18.6
	13.374999999999998	10.9		24.243750000000002	19.4
	13.34375	10.1		22.96875	23.4
	13.150000000000002	11.4		23.15625	22.2
	13.593749999999996	12.2		23.76875	24.5
	13.6875	13		23.925	19.9
	13.668750000000001	9.9		24.024999999999995	16
	13.962500000000002	8.2		24.2	18.5
	13.700000000000003	10.8		23.818749999999998	15.4
	13.625	14.4		23.443749999999998	23.7
	13.08125	11		23.78125	19.6
Jun.	14.049999999999999	8.8		23.906250000000004	21.4
	13.950000000000001	11.9		23.8375	26.9
	14.04375	15.2		24.818749999999998	27.8
	14.9625	17.2		25.50625	32.5
	15.381250000000001	19.8		26.162499999999998	35.7
	14.6375	18.8		24.18125	34.5
	14.062500000000002	20.1		24.956249999999997	35.2
	14.6125	18.8		24.9125	34.2
	14.425000000000002	19		23.743750000000002	33.5
	13.668749999999998	20.8		25.05625	34.7
	14.86875	21.5		25.643749999999997	36
	15.212499999999997	22.3		26.406249999999996	38.6
	15.25625	21.4		26.0375	39.6
	15.443749999999998	21.7		26.543750000000003	37.2
	16.0375	20.1		26.568750000000005	29.8
	16	18.9		26.431250000000002	28
	14.96875	17.8		25.16875	27
	14.968749999999998	15		26.206249999999997	28.7
	15.612499999999999	12.8		25.6125	25.7
	15.49375	12.8		26.35	27.6
	15.843750000000002	16.7		26.624999999999996	26.9
	16.206249999999997	14.9		26.762499999999996	29.7
	15.424999999999999	16.6		25.19375	32.7
	14.6375	17.8		24.83125	25.1
	14.975000000000001	15.2		25.3875	29.5
	15.418750000000001	15.9		26.4125	31.4
	15.85	17.1		26.124999999999996	32.1
	15.818750000000001	16.2		26.324999999999996	31.2
	14.968750000000002	17.8		24.91875	32.9
	15.212499999999999	19.4		25.3125	34.3
Jul.	15.0875	17.1		25.187499999999996	29.7
	15.04375	16.7		26.012500000000006	32
	15.625000000000002	16.7		26.18125	29.3
	15.843749999999998	15.5		27.5625	28.2
	16.84375	14.4		28.799999999999997	23.7
	17.168750000000003	11		27.893750000000004	23.1
	16.8875	11.4		27.00625	24.9
	16.7375	12.9		26.64375	25.1
	16.512500000000003	11.4		26.787499999999998	24
	16.418750000000003	12		26.68125	27.5
	16.206249999999997	15.5		26.3	32.5
	16.53125	17.6		26.987500000000008	29.8
	17.025	16.1		26.737500000000004	25.7
	16.66875	15		25.918749999999996	30.3
	16.3375	17.9		25.2375	36
	15.700000000000001	20.5		25.50625	38.9
	15.793750000000003	18.5		26.406249999999996	34.8
	16.70625	18		27.6125	27.1
	16.806250000000002	17.8		28.256249999999994	30.4
	17.49375	19.4		26.062499999999996	36.5
	17.1375	19.6		26.69375	35.7
	16.50625	19.5		26.474999999999994	31.3
	16.012499999999996	18.7		26.137500000000003	28.2
	15.825000000000003	14.3		26.606249999999996	27.7
	16.181250000000002	13.3		26.112500000000004	30.8
	16.468749999999996	18.8		26.962500000000002	34.6
	16.05625	18.1		26.068750000000005	34.2
	15.6875	17.1		26.45625	30.2
	16	14.6		26.849999999999998	31.7
	16.8125	16.3		27.387500000000003	34.1
	16.5125	18.6		27.937499999999993	36.1
Aug.	17.4625	21		26.800000000000004	36.7
	16.3125	20.7		26.3	31.8
	16.50625	-0.7		25.61875	22.9
	16.19375		16.1	25.731250000000003		23
	15.94375		16.5	25.675		23.3
	15.793750000000001		14.9	26.325000000000003		25.2
	16.03125		14.8	27.56875		24.3
	16.1375		14.1	27.368749999999995		25.8
	15.962499999999999		15.2	26.087500000000002		19.9
	15.531249999999998		13.5	25.618750000000006		22.2
	15.24375		12.7	25.8875		22.8
	15.656250000000002		15.6	26.412499999999998		26.2
	15.8375		15.6	24.549999999999997		25.2
	15.068750000000001		15.5	24.66875		24.6
	15.124999999999996		15	25.29375		24.9
	15.54375		15.2	25.08125		24.3
	15.043750000000001		14.6	23.749999999999996		24
	13.593749999999996		13.9	22.918750000000003		23.4
	13.637500000000001		13.5	23.424999999999997		23.7
	14.0375		14.3	24.381249999999998		24.3
	14.2875		14.3	24.98125		24.3
	14.612499999999999		14.2	24.90625		24.4
	14.725000000000001		13.8	24.862500000000004		24
	14.062500000000002		13.7	22.631249999999998		23.5
	13.524999999999999		13.7	22.924999999999997		23.4
	13.681249999999999		13.8	23.25625		23.3
	13.524999999999999		13.6	23.53125		23.5
	13.506249999999998		13.1	23.493750000000002		23
	13.362499999999999		12.9	23.537499999999998		23.1
	13.625000000000002		13.5	21.912499999999998		21.9
	13.287500000000001		13.2	21.95625		21.6
Sep.	13.181249999999999		12.9	21.80625		21.7
	12.33125		12.1	21.437499999999996		21.1
	12.05		12.3	20.96875		21.1
	11.868749999999999			20.950000000000003
	11.6125			20.95625
	11.625			21.425
	10.78125			21.2125
	10.05			20.30625
	10.193750000000001			20.600000000000005
	10.581250000000002			19.96875
	10.968749999999998			19.424999999999997
	10.78125			19.2
	10.918750000000003			19.1625
	10.662500000000001			19.44375
	10.931250000000002			19.39375
	10.05625			18.46875
	9.868749999999999			18.925
	9.856250000000001			18.618750000000002
	9.80625			19.099999999999998
	9.581249999999999			17.874999999999996
	9.8875			17.400000000000002
	9.412500000000001			17.13125
	9.79375			17.068749999999998
	9.700000000000001			17.06875
	9.04375			17.275000000000002
	9.281250000000002			17.18125
	8.75625			16.8375
	8.2125			16.256249999999998
	8.568750000000001			17.14375
	8.00625			16.59375
Oct.	7.881249999999999			15.356250000000003
	8.18125			15.437499999999998
	8.2875			15.881249999999998
	8.45			16.9625
	8.593749999999998			16.05
	9.287500000000001			15.999999999999998
	8.325			15.624999999999998
	7.637499999999999			14.649999999999999
	7.6625			15.100000000000001
	7.374999999999999			14.618750000000002
	8.281250000000002			15.337500000000002
	8.10625			15.8625
	7.481250000000001			13.8375
	6.6187499999999995			13.181250000000002
	6.831250000000001			14.1
	7.00625			13.856249999999998
	7.16875			14.231249999999998
	6.675			14.175
	7.2375			13.79375
	7.1125			13.3125
	7.218749999999999			13.575
	6.3187500000000005			12.150000000000002
	5.9375			12.11875
	6.18125			11.5375
	5.7562500000000005			11.624999999999998
	5.643749999999999			11.29375
	4.9875			10.881250000000001
	4.8187500000000005			10.200000000000003
	4.925000000000002			10.43125
	4.950000000000001			10.8
	4.93125			10.625
Nov.	4.73125			9.73125
	3.7499999999999996			9.225000000000001
	4.03125			9.012500000000001
	4.475			9.075
	4.4125000000000005			9.45
	3.3375			8.725000000000001
	2.43125			7.493750000000002
	2.0375			7.175
	2			7.887500000000001
	2.7312499999999997			7.793749999999999
	2.2			7.675
	2.625000000000001			7.3125
	2.38125			6.7875
	2.275			6.95
	1.2875			6.425
	1.5687500000000003			5.575
	1.2625			5.575
	0.40625000000000006			5.324999999999999
	0.5062499999999999			4.85625
	0.39375000000000004			5.125
	1.0125			5.625
	1.5			5.5625
	2.2625			6.4875
	1.7437500000000001			6.1499999999999995
	1.4125			5.762500000000001
	0.8500000000000001			5.45
	1.5625			5.737500000000001
	1.3562499999999997			5.60625
	1.15625			5.7375
	1.5562500000000001			5.525
Dec.	1.5000000000000004			5.9750000000000005
	1.5624999999999998			6.318749999999999
	1.7312499999999997			6.4312499999999995
	1.81875			6.39375
	2.0687499999999996			7.075
	2.0625			6.837500000000001
	2.28125			6.5625
	3.5750000000000006			7.387500000000001
	4.1625000000000005			8.618749999999999
	3.95			8.387500000000001
	2.74375			7.3125
	2.275			6.30625
	1.6812500000000004			6.01875
	0.54375			5.39375
	0.8875			5.4624999999999995
	1.48125			6.26875
	2.6866666666666665			7

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 MonthAugust31.76°C

Coldest MonthJanuary-0.02°C

Wettest MonthMay2.59mm

Windiest MonthAugust18.4km/h

Heidelberg 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 Heidelberg historically?

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

2. What is the coldest month in Heidelberg historically?

January is Heidelberg'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 Heidelberg over the past 17 years?

Heidelberg's average annual rainfall is approximately 733.1mm, based on records spanning 17 years.

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

Heidelberg historically records approximately 197.2 rainy days per year. December has the highest number of rain days at an average of 19.5 days.

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

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

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

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

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

Heidelberg experiences its strongest winds during February. The historic gust record of 61.2 kph was recorded on 2026-08-17.

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

Usually, Heidelberg's humidity peaks in December at around 82.8% and drops to its lowest in August at approximately 63.4%.

Recent Blogs On Weather

See all blogs

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

Heidelberg 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

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

Heidelberg 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

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