Bitterfeld Wolfen Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Bitterfeld Wolfen Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.1125	1.6		6.25	2.9
	0.8062500000000001	0.1		5.8125	2.3
	0.7625	-2.5		5.1	1
	0.39375000000000004	-1.8		4.60625	1.3
	-0.6	-4		3.85	-0.1
	-0.45625	-5.4		3.5625	-1
	-0.5375	-6.6		3.724999999999999	-2.3
	0.39374999999999993	-8		4.1187499999999995	-1.3
	0.6187500000000001	-4.7		4.793749999999999	1
	-0.4625	-10.6		3.9625000000000004	0.3
	-1.41875	-13.7		3.08125	-6.3
	0.04375000000000012	-13.6		3.6812499999999995	1
	0.09375	1.4		4.25	2.9
	-0.07500000000000004	1.8		4.2375	4.7
Jan.	-0.3187500000000001	1.9		4.00625	6
	-0.45000000000000023	1.5		3.5375000000000005	6.4
	-1.36875	1.1		3.1625000000000005	5.7
	-1.6937499999999999	-0.2		2.6312499999999996	4.9
	-2.11875	-1.4		2.325	4.5
	-2.80625	-2.6		2.0187500000000003	4.1
	-2.94375	-3		1.3624999999999998	4.9
	-2.8812499999999996	-4.1		1.55	0.5
	-2.39375	-5		1.63125	1
	-1.6812499999999997	-4.8		2.4375	1.2
	-1.95625	-3.7		2.4375	2.1
	-2.5500000000000003	0.2		2.36875	2.6
	-1.29375	-2.7		4.081250000000001	0.8
	-0.7875	-4.8		4.20625	0.1
	-0.6000000000000001	-2.5		4.275	-0.1
	-0.9812500000000001	-2.2		4.15625	1.2
	-1.225	-4.8		3.5250000000000004	0.3
	-1.225	-5.3		3.9624999999999995	-2
	-1.0999999999999996	-7.2		4.15	-1.5
	0.06875000000000017	-6.9		4.425000000000001	-1.4
	-0.7250000000000001	-3.2		4.6000000000000005	1.2
	-1.0125000000000004	-1.1		3.8187500000000005	0.9
	-1.4124999999999999	0.3		3.4312499999999995	4.5
	-2.28125	1		3.25625	3.7
	-2.3375	0.7		2.7500000000000004	1.5
	-2.1875	0.1		4.1875	2.7
	-1.8062499999999995	-1.2		4.2125	5.7
	-1.46875	3.6		3.51875	8.1
	-2.33125	4.5		3.3625	7.9
	-2.08125	1		3.71875	6.6
	-2	-2.7		5.14375	0.8
Feb.	-1.225	-4.7		6.287499999999999	0.4
	0.07499999999999996	-2.2		7.21875	4.3
	0.43125000000000013	1.3		6.949999999999999	3.6
	0.48124999999999996	-2.2		6.9312499999999995	1.5
	0.51875	-4		6.0687500000000005	1.8
	-0.01875000000000021	-5.9		6.712500000000001	3.2
	1.6124999999999998	2.7		7.356250000000001	6.9
	0.6375000000000001	6.9		7.71875	11.2
	1.0750000000000002	7		7.237499999999999	9.4
	0.39375	4.5		7.718750000000001	7.8
	0.625	2.8		7.63125	11.4
	0.19375	5.4		6.99375	15.1
	-0.5062500000000001	8.1		6.84375	17.6
	0.1999999999999999	8		7.025	16.2
	2.7755575615628914e-17	4		7.343749999999999	11.5
	0.012500000000000022	3.6		7.5249999999999995	13
	0.625	4.2		8.29375	14.5
	0.6000000000000001	3.6		8.531249999999998	10.2
	0.20625000000000004	4.8		8.05	14.3
	-0.04999999999999996	4		7.750000000000001	15.2
	0.3437500000000001	4.9		7.8	15.2
	0.1687499999999999	6.4		7.912499999999999	15.8
	0.5875000000000002	5.3		9.106250000000001	14.3
	0.51875	6.5		9.675	15.5
	0.8874999999999998	8.3		8.912500000000001	15.9
	1.6124999999999998	6.7		8.181249999999999	12.7
	2.1437500000000003	6.4		9.612499999999999	15.1
	1.6062499999999997	4.1		8.7	13.9
Mar.	1.6625000000000003	3.1		8.31875	7.2
	1.33125	3		9.0875	8
	1.9125	0.4		10.03125	10
	2.10625	0.9		10.112499999999999	12.4
	1.4375	3.8		10	13.1
	1.5375	4.7		10.7625	11.3
	2.1625	3.5		11.212499999999999	11.8
	2.15	1.6		10.643750000000002	13.1
	2.9250000000000003	2.8		10.7375	13.2
	1.6375000000000002	5.3		11.081249999999999	15
	1.7375	3.3		11.443749999999998	12.2
	2.06875	0.3		10.343750000000002	7
	1.7687499999999998	-2		10.737499999999999	8.5
	2.5187500000000003	-0.5		12.431249999999999	10.5
	4.1937500000000005	-0.1		12.706249999999999	9.5
	3.4250000000000003	3.2		13.156249999999998	8
	3.6437500000000003	1.3		11.924999999999997	5.5
	3.2875	0.9		11.2625	10
	2.3125	0.8		11.912499999999998	12.2
	3.124999999999999	2.5		12.4375	11.4
	3.6875	7.7		12.70625	14.5
	3.493750000000001	8.5		11.44375	17.6
	3.3374999999999995	4.6		12.7875	11.9
	3.9687499999999996	1.4		14.462500000000004	12.6
	4.59375	0.6		13.493749999999999	13.1
	4.425	1.7		14.299999999999999	11
	4.225	2.2		14.393749999999997	8.1
	4.54375	0.6		14.306249999999999	12.7
	4.5625	4.7		13.6625	7.9
	5.624999999999999	5.2		14.33125	15.8
	4.74375	6.8		13.20625	12.5
Apr.	4.86875	3.6		13.61875	15.4
	4.75625	7.8		14.181249999999999	18.7
	4.75	8.9		14.26875	18.7
	4.3875	8.8		14.193750000000001	20.2
	4.093749999999999	6.8		14.793750000000001	12.5
	4.949999999999999	3.8		15.668750000000003	6.6
	5.39375	0.8		15.674999999999999	12.6
	5.531249999999999	0.1		15.56875	14.2
	5.58125	2.2		16.01875	15.1
	5.1937500000000005	2.7		16.206249999999997	12.7
	5.96875	3.6		15.937499999999998	14.8
	5.3375	1.7		15.087500000000002	13.1
	5.01875	3.2		14.975000000000003	15.2
	5.56875	2.9		16.825	14.2
	7.112500000000001	1.1		18.0375	12.5
	7.3	1.4		17.6125	15.8
	7.35	5.8		17.6	20.3
	6.875	8.3		15.900000000000002	24.2
	6.68125	11.1		16.06875	24.8
	6.718750000000001	12.5		14.924999999999999	21.4
	6.349999999999999	12.4		15.787499999999998	19.7
	6.0062500000000005	8		16.24375	16.3
	7.08125	6.6		16.79375	7.7
	6.9937499999999995	6.4		17.400000000000002	11.1
	8.225	7.9		19.44375	15.3
	8.93125	6		19.649999999999995	19.7
	9.218750000000002	5.7		19.89375	16.7
	9.062500000000002	2.4		19.387499999999996	7.4
	7.693749999999999	3.2		16.71875	11.8
	7.8187500000000005	5.5		16.96875	12.9
May	6.981250000000001	3.5		16.7125	13.1
	7.2625	3.1		17.300000000000004	12.6
	8.237499999999999	3.6		17.406249999999996	15.8
	8.456249999999999	6.1		17.35625	19.3
	9.131250000000001	7.7		19.443749999999998	18.8
	10.575000000000001	9.8		20.206249999999997	18
	10.56875	9.3		20.862499999999997	19.9
	10.5375	10.9		20.493750000000002	23.1
	10.318749999999998	13.4		20.34375	26.2
	10.512499999999998	14.2		19.831250000000004	25.2
	9.98125	10.7		18.924999999999997	24.1
	9.643749999999999	13.6		19.175	27.2
	10.493749999999999	10.9		18.85	20
	10.268749999999999	7.2		19.574999999999996	19.1
	10.225	8.5		19.831250000000004	24.3
	10.518749999999999	14.5		20.55625	22.6
	10.781250000000002	11.5		20.94375	21.3
	10.90625	12.8		20.325	21
	10.837499999999999	12.2		20.675	24.4
	11.481250000000003	13.1		22.60625	20.4
	11.61875	12		22.2	21.2
	11.9	12.4		23.5875	18.9
	12.787500000000001	10.1		23.1	22.9
	12.100000000000003	12.9		22.612500000000004	19.8
	12.63125	11.1		23.2375	24.4
	13.218749999999998	10.8		23.918750000000006	19.2
	13.275	10.1		23.36875	19.6
	13.275	9.4		22.975	17
	12.575	8.5		22.4875	16.1
	12.29375	11.1		21.849999999999998	19.9
	12.00625	8.3		22.518750000000004	17.2
Jun.	12.543750000000001	9.2		22.881249999999998	17.3
	12.375	7.1		21.900000000000006	21.4
	12.61875	13.5		23.7125	23.3
	13.99375	15.4		24.993749999999995	28.3
	14.506250000000001	18.8		25.31875	33.1
	13.86875	20.5		23.049999999999997	29.4
	12.806250000000002	19.5		22.737500000000004	29.7
	13.450000000000001	17.5		23.893750000000004	27
	13.18125	14.6		22.337500000000006	28.6
	13.149999999999997	16.9		23.037499999999998	31.2
	13.681250000000002	19.9		23.487500000000004	33.3
	14.600000000000001	18.4		24.8125	34.3
	13.587499999999999	22.8		24.081249999999997	38.4
	13.881249999999998	24		25.4875	36.3
	15.05625	19.2		25.475	25.3
	14.437499999999998	18.7		24.606250000000003	26.8
	14.224999999999998	16.1		24.06875	22.2
	14.35625	13.5		24.35	26.9
	13.91875	11.8		24.612499999999997	20.9
	14.0125	10.6		24.68125	20.2
	15.262500000000001	14.1		25.53749999999999	22.5
	14.8	13.6		25.099999999999998	20
	14.406250000000002	16.3		24.587500000000002	26.5
	13.799999999999999	11.4		23.40625	22.6
	13.937499999999998	10.1		23.99375	21.4
	14.331249999999999	13.3		24.45	26.5
	14.75	13.3		25.425	26.8
	15.106250000000001	14.8		24.875	29.9
	14.81875	15.7		24.09375	30.1
	14.256249999999998	15.8		23.575000000000003	25.6
Jul.	14.40625	14.2		23.912500000000005	26.7
	14.337500000000002	15.3		24.11875	29.1
	14.343750000000002	18.1		25.33125	30.1
	14.937499999999998	16.4		25.0625	24.8
	15.2	12.4		26.493750000000002	20.9
	16.05625	10.6		27.3375	19.2
	16.21875	10.5		25.750000000000004	22.5
	16.2625	11		25.56875	20.1
	15.381250000000001	12.1		25.14375	19.4
	15.187499999999996	10.3		26.15625	24
	16.025000000000002	13.3		25.7125	29.4
	15.337499999999999	17.1		25.931250000000002	29.3
	16.25	15.6		25.975	23.1
	16.575000000000003	12.9		25.6	24.7
	16.45	16.5		24.90625	32.2
	15.600000000000001	21.1		24.4375	37.4
	15.381249999999998	18.7		24.325	32.3
	15.4	16		25.831250000000004	22.9
	15.987500000000002	13.9		26.675	25.3
	16.4375	15.1		26.306250000000002	31.3
	16.54375	20.8		25.887499999999996	32.4
	15.7	23.2		24.675	32.8
	14.9	19.3		25.287499999999998	28.2
	15.343749999999998	13		25.731250000000003	23.8
	15.906249999999998	12		26.65625	25.2
	16.287499999999998	14.9		26.237499999999997	33.8
	15.443750000000001	18.5		25.2625	32.5
	15.08125	12.3		24.39375	23.9
	15.062500000000002	11.5		24.868750000000002	26.1
	15.193750000000001	13.8		25.93125	29.4
	15.768749999999997	15.6		26.974999999999998	33
Aug.	16.19375	19.8		26.231249999999996	36.3
	15.9125		17.1	25.19375		27.1
	15.425		14.4	24.81875		19.3
	15.4625		13.4	25.156249999999996		18.4
	15.268750000000002		14.9	24.206249999999994		29
	14.66875		12.5	24.58125		22.3
	14.89375		14.1	25.59375		25.2
	14.99375		12.9	25.337500000000006		23.3
	14.512500000000001		10.8	24.518749999999994		23.9
	14.787500000000001		14.7	24.974999999999998		25.2
	14.775000000000002		14.8	24.76875		25
	15.150000000000002		15.3	25.09375		25
	14.925		14.9	23.593749999999996		24
	14.0625		14.3	23.012499999999996		23.9
	13.987500000000002		14.3	23.98125		23.4
	14.787500000000001		14.3	24.168749999999992		23.4
	14.281250000000002		13.7	23.43125		23
	12.799999999999999		12.8	21.4625		22.3
	12.8		13	21.081249999999997		21.7
	12.83125		13.7	22.781249999999996		23.2
	14.000000000000002		13.9	23.949999999999996		23.7
	13.806249999999997		13.6	23.531249999999996		22.6
	13.612499999999999		13.2	23.243750000000002		22.9
	13.35625		12.9	22.6375		22.9
	12.8125		13.4	22.268749999999997		23
	13.3625		13.3	22.687500000000004		22.6
	13.75625		13.6	22.70625		22.5
	13.468750000000002		13.2	22.6375		22.8
	13.256250000000001		12.7	22.95625		22.3
	12.887499999999998		12.8	21.112499999999997		20.7
	12.168750000000001		12.1	19.9375		20
Sep.	12.58125		12.6	21.281250000000004		21
	11.76875			20.362500000000004
	11.64375			20.94375
	11.60625			19.7375
	11.1375			20.106250000000003
	11.024999999999997			20.1625
	10.075000000000003			20.300000000000004
	10.243749999999997			19.131249999999998
	10.012500000000003			19.049999999999997
	10.61875			19.1625
	10.593750000000002			18.274999999999995
	10.618750000000002			18.975
	11.193750000000001			18.31875
	10.23125			18.2625
	9.475000000000001			18.406249999999996
	9.21875			17.906249999999996
	8.493749999999999			17.44375
	8.8125			17.781250000000004
	9.381250000000001			17.75
	9.16875			17.174999999999997
	9.287500000000001			16.425
	9.2125			16.25
	9.0625			15.74375
	8.375			15.3875
	8.05			15.687499999999998
	7.9624999999999995			15.762499999999998
	7.949999999999999			15.674999999999999
	7.131249999999999			14.7375
	7.05			15.156249999999998
	7.343749999999999			14.749999999999998
Oct.	7.7125			14.287499999999998
	7.6499999999999995			13.937500000000002
	7.493750000000001			15.393749999999999
	6.75625			15.118749999999999
	7.3			14.59375
	8.13125			14.85
	8.100000000000001			15.4375
	8.15625			14.65625
	7.6			14.43125
	7.7250000000000005			14.318750000000001
	7.98125			14.018749999999995
	8.30625			14.39375
	6.575			13.4375
	6.768750000000001			12.962499999999999
	6.475			12.9625
	6.5375000000000005			13.0375
	6.675			13.31875
	6.7375			13.19375
	6.90625			13.412499999999998
	6.5562499999999995			12.787500000000001
	6.281250000000001			12.331249999999999
	6.412499999999999			11.94375
	6.0375			11.7
	5.9			11.38125
	5.593749999999999			10.8
	5.575			10.75
	4.33125			10.275
	3.9875000000000003			9.306249999999999
	4.5			10.34375
	4.5562499999999995			9.8625
	4.26875			9.568750000000001
Nov.	3.85625			9.5625
	3.225			7.893749999999999
	2.75			7.675
	3.0124999999999993			7.818749999999999
	3.1312500000000005			8.112499999999999
	2.36875			7.225
	1.45625			6.137499999999999
	1.33125			5.775
	2.00625			7.3999999999999995
	1.7125000000000001			7.04375
	1.3250000000000002			6.1625000000000005
	1.66875			6.28125
	1.1375000000000002			5.7875000000000005
	1.1187500000000001			5.918749999999999
	0.58125			5.125000000000001
	-0.13749999999999996			4.35
	-0.6187499999999999			3.8187499999999996
	-0.6749999999999998			4.206249999999999
	-0.95			3.8124999999999996
	-0.61875			4.11875
	0.02499999999999994			4.2749999999999995
	0.4249999999999998			4.35
	1.53125			5.2125
	1.15			5.60625
	1.35625			5.11875
	0.5125			4.89375
	1.20625			4.94375
	0.30624999999999997			4.88125
	-0.44375000000000014			4.343749999999999
	0.2124999999999999			4.1875
Dec.	0.08749999999999986			4.593749999999999
	0.5499999999999999			5.043750000000001
	1.35			6.00625
	1.0125000000000002			5.825
	1.2437500000000001			6.0687500000000005
	1.51875			6.14375
	1.4124999999999999			5.89375
	2.1374999999999997			5.762499999999999
	2.6125000000000003			6.762500000000001
	2.8062500000000004			7.050000000000001
	1.8187499999999996			6.2124999999999995
	1.7562499999999996			6.237500000000001
	1.0750000000000002			5.31875
	0.8687499999999999			5.06875
	0.54375			4.35625
	0.21249999999999983			5.306250000000001
	2.3733333333333335			6.879999999999999

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

27 Jun. 26

-14°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust29.13°C

Coldest MonthJanuary-3.33°C

Wettest MonthMay2.83mm

Windiest MonthJuly21.65km/h

Bitterfeld Wolfen 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 Bitterfeld Wolfen historically?

August is historically Bitterfeld Wolfen's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2026-06-27.

2. What is the coldest month in Bitterfeld Wolfen historically?

January is Bitterfeld Wolfen's coldest month, with average minimum temperatures around -1°C. The all-time record low of -17°C was recorded on 2012-02-06.

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

Bitterfeld Wolfen's average annual rainfall is approximately 592.2mm, based on records spanning 17 years.

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

Bitterfeld Wolfen historically records approximately 199.05 rainy days per year. July has the highest number of rain days at an average of 17.7 days.

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

The all-time highest temperature recorded in Bitterfeld Wolfen is 38°C on 2026-06-27.

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

The all-time lowest temperature recorded in Bitterfeld Wolfen is -17°C on 2012-02-06.

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

Bitterfeld Wolfen experiences its strongest winds during January. The historic gust record of 51.1 kph was recorded on 2018-01-18.

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

Usually, Bitterfeld Wolfen's humidity peaks in January at around 85.5% and drops to its lowest in August at approximately 64.5%.

Recent Blogs On Weather

See all blogs

Bitterfeld Wolfen Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Bitterfeld Wolfen 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

Bitterfeld Wolfen Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Bitterfeld Wolfen 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

Bitterfeld Wolfen Historic Weather Records
Analyse hottest, coldest, windiest & wettest days