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

Bielefeld Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.7	0.8		6.43125	2.3
	1.6562499999999998	-0.1		5.46875	1.6
	1.6625	-2.9		5.4437500000000005	-0.1
	1.2125	-1.7		4.9125	0.2
	0.9499999999999998	-5.3		4.575	-1.6
	1.09375	-7		4.96875	-1.4
	0.7687499999999999	-5.4		4.66875	-0.5
	1.275	-2.8		4.5562499999999995	0.8
	1.0687499999999999	0.6		4.78125	4.4
	0.33125000000000004	-5.5		4.43125	1.5
	0.07500000000000001	-7.8		4.1499999999999995	-1.9
	0.5562500000000001	-3.7		4.175	2.3
	0.80625	2.8		4.525	5.4
	0.36874999999999997	2.2		4.231249999999999	7
Jan.	0.2062499999999999	3.6		4.299999999999999	8.3
	-0.08124999999999999	5.3		3.7062500000000003	9.5
	-0.76875	2.8		3.1875000000000004	5.6
	-1.3125	0.6		3.2187500000000004	5.3
	-1.4874999999999998	0.3		2.8499999999999996	5.7
	-1.7749999999999997	-0.2		2.10625	5.5
	-2.1874999999999996	-1.2		2.2375000000000003	4.8
	-1.35	-0.5		2.9499999999999997	4.8
	-0.7500000000000003	0		3.0000000000000004	3.7
	-0.6000000000000002	-0.6		3.5875	1.7
	-0.9624999999999999	-1.4		3.2	2.8
	-0.9937499999999999	-1		3.3749999999999996	0.6
	-0.23750000000000004	-0.3		4.8375	2.1
	0.48124999999999996	-1		5.1812499999999995	1.3
	0.4937499999999999	-1.7		4.8062499999999995	1.3
	-0.024999999999999828	-3.2		4.39375	1.7
	-0.3	-0.5		3.81875	3.2
	-0.056250000000000036	0.4		4.26875	2
	-0.1749999999999999	-1.9		4.3375	2.3
	0.6624999999999999	-3.7		4.69375	0.3
	0.03750000000000012	-1.5		4.8875	4.3
	0.14374999999999996	-1.6		4.725	2.5
	-0.20625000000000016	-1.3		4.425	4.3
	-1.3749999999999998	2.5		3.75	6.5
	-1.5562500000000004	2.8		3.2875	5.6
	-1.1812500000000004	1.4		3.9312499999999995	6.3
	-1.1812500000000004	0.5		3.6437500000000003	8.5
	-0.925	4.2		3.65625	8.4
	-1.5250000000000001	4.3		3.25625	7.9
	-1.4500000000000002	-0.3		4.531250000000001	6.5
	-0.84375	-3		5.60625	0.3
Feb.	0.24375000000000013	-3.1		6.3375	3.2
	1.5812499999999998	0		7.3	3.8
	1.0374999999999999	0.6		6.8374999999999995	3.8
	1.225	-3.7		6.74375	1
	0.925	-0.9		5.94375	3.2
	0.9749999999999998	-1.9		6.9125000000000005	5.1
	2.1	5		7.349999999999999	8.4
	1.8875	8.2		7.90625	10.7
	1.5625	7.6		7.418749999999998	9
	1.4625	4.3		7.731249999999999	10.1
	1.33125	8.1		7.625000000000001	14.5
	1.11875	7.4		6.8625	15.9
	0.26250000000000007	9.4		6.8875	17.2
	0.23749999999999988	8		6.7375	13.5
	0.7437499999999998	3.6		7.1625	11.6
	0.15000000000000008	4.8		7.1812499999999995	14.1
	0.6	5.7		8.09375	15.1
	0.73125	3.5		8.41875	12.8
	0.8812500000000001	6.2		8.10625	16
	0.68125	6.1		8.11875	17
	0.6687500000000002	6.8		8.175	16.2
	1.0375	7		8.45625	16.8
	1.2562499999999999	6.4		9.093750000000002	16.2
	1.1812500000000001	6.8		9.7	16.9
	1.3375	6.2		8.5625	12.4
	2.08125	3.7		8.856250000000001	11.8
	2.29375	4.8		9.143749999999999	12
	2.2124999999999995	1.6		8.137500000000001	4.2
Mar.	1.8812499999999999	2.6		9.06875	8.3
	1.9000000000000001	3.3		9.66875	8.3
	2.35	2		9.287500000000001	6.3
	2.1500000000000004	1.6		9.999999999999998	12.8
	2.475	3.8		10.13125	14.1
	2.5624999999999996	4.4		10.94375	11.3
	2.7	3.8		10.668750000000001	12.8
	2.39375	2.6		10.681249999999999	14
	3	4.1		10.625	13.5
	2.2750000000000004	5.5		11.4125	14
	2.3125	2		11.043750000000001	10.9
	2.2562500000000005	-0.2		9.681249999999999	6.1
	1.8250000000000004	-1.3		11.4	8.1
	2.75	1.7		12.243750000000002	7.6
	3.825	-0.2		12.15	8.7
	3.75	3.1		12.3625	7.9
	3.9124999999999996	0.6		11.806249999999999	9.5
	2.9375	0.2		10.5375	11
	2.49375	1.3		11.59375	11.7
	3.4187499999999993	3.1		11.937499999999998	11.8
	3.875	8.1		11.56875	13.9
	3.225	6.7		10.36875	13.4
	3.3	3		12.399999999999999	12.2
	4.33125	2		14.65625	13.1
	4.018750000000001	2.7		13.056249999999999	15.8
	4.21875	6		13.88125	15.9
	4.2125	4.9		13.5375	11.6
	4.23125	3.1		13.062499999999998	16.4
	4.331250000000001	5		13.3625	12.6
	5.487500000000001	5.7		13.525000000000002	11.3
	3.7875000000000005	7.3		13.643749999999999	14.6
Apr.	4.3625	5.6		13.862499999999999	16.9
	4.237499999999999	9.6		13.768749999999999	17.2
	3.8749999999999996	10.4		14.175	19.9
	4.18125	10.6		13.68125	17.5
	4.4125000000000005	5.4		15.05625	13
	4.8687499999999995	2.5		15.556249999999997	9.1
	5.0875	1		15.356249999999998	12.7
	5.387499999999999	1.6		15.237499999999999	14.6
	5.412500000000001	2.1		15.050000000000002	16.1
	5.3	1.9		15.49375	15.9
	5.56875	2.2		14.9625	15.8
	4.612500000000001	1.6		13.9625	13.9
	4.3625	2.7		13.118749999999999	14.9
	4.862500000000002	4.6		15.612499999999999	15
	6.374999999999999	3.1		16.799999999999997	14.4
	6.08125	3.4		16.4375	16.9
	6.40625	6		15.950000000000001	20.8
	6.424999999999999	10		15.04375	24
	5.8999999999999995	12.5		15.775	22.2
	5.5375000000000005	10		14.031250000000002	18.7
	4.762499999999999	9.9		15.200000000000001	13
	5.5062500000000005	6.3		15.906249999999998	7.9
	6.749999999999998	5.5		16.18125	9.4
	6.9375	6.2		17.143749999999997	14.1
	8.15	5.3		18.918750000000003	18.2
	8.525	7.4		17.79375	18.7
	8.80625	4.1		18.30625	11.7
	8.58125	2.6		17.037499999999998	10.9
	7.18125	5.5		16.425	13
	7.05625	3.8		16.831249999999997	10
May	6.824999999999999	1.9		16.375	13.5
	6.925000000000001	4		16.012500000000003	12.2
	7.3	3.8		16.05	13.9
	7.2562500000000005	7.8		17.36875	12.4
	8.318750000000001	6.2		18.224999999999998	16.6
	9.237499999999999	10.4		18.6875	17.6
	9.46875	8.8		19.31875	18.8
	9.78125	10.7		19.75625	23.9
	9.7375	13.6		19.112500000000004	26.7
	9.024999999999999	13.9		18.5875	23
	8.799999999999999	10.9		17.65625	24.4
	9.243749999999999	13.5		18.206249999999997	28.5
	9.318750000000001	9.3		18.575	19.5
	9.69375	6		18.681250000000002	19.4
	9.04375	9.9		18.90625	27.3
	9.850000000000001	14.6		19.06875	22.8
	9.96875	12.9		20.162499999999998	20.5
	10.05625	12.5		19.2625	21.3
	10.075000000000001	13.2		20.3625	23.4
	10.60625	11.3		21.33125	18.6
	10.718749999999998	11.9		21.337500000000002	17.5
	11.568750000000001	10.2		21.75	17.4
	11.1125	9.5		20.831250000000004	20.5
	10.7875	11.4		20.4875	18
	11.568749999999998	10.7		20.793750000000003	21.3
	11.15625	9.3		21.337500000000002	16.4
	11.55	7.9		21.174999999999997	17.6
	11.2625	7.6		20.99375	16.3
	10.6375	10.1		20.362500000000004	19.2
	10.98125	10.7		20.537499999999998	17.7
	10.818750000000001	9.6		21.356250000000003	16.7
Jun.	11.5375	8.5		20.837499999999995	15.2
	11.39375	9		20.35625	22.4
	11.51875	12		22.1	21.7
	13.018749999999999	15.4		23.025	28.1
	13.081249999999999	18.4		21.887500000000003	31.8
	12.19375	18.5		21.493750000000002	31
	11.368749999999999	18.1		20.91875	28.3
	12.268749999999999	14.8		22.412500000000005	25.7
	12.11875	14		20.95625	27.1
	12.300000000000002	18		21.25	31.6
	13.15625	20.4		22.175	30.5
	12.968750000000002	18.7		22.400000000000002	34.8
	12.33125	19.8		22.70625	35.8
	13.231250000000001	20		23.775000000000002	30.8
	14.112499999999997	17.9		23.631249999999998	27
	13.318749999999998	14.5		22.968749999999996	26.7
	13.325000000000001	13.9		22.031249999999996	23.8
	13.331249999999999	13		22.981249999999996	24.6
	12.91875	10		22.224999999999998	21.7
	12.812500000000004	10		23.262499999999996	22.2
	13.60625	14.1		23.556250000000006	20.3
	13.562500000000002	12.5		22.24375	23.9
	12.78125	15.2		22.7375	26.6
	12.299999999999999	13.1		22.356250000000003	21.2
	13.156250000000002	12.4		22.337500000000002	22.6
	13.25625	12.9		22.500000000000004	25.2
	13.85	14.6		23.3125	26.7
	13.443749999999998	15.5		22.325	27.6
	13.15	12.3		21.337499999999995	28.9
	13.024999999999999	16.2		21.662499999999998	26.2
Jul.	12.5625	14.1		21.4375	25.8
	12.974999999999998	17.2		22.46875	26.3
	13.162500000000001	15.4		22.981250000000003	27.7
	13.668750000000001	12.7		24.40625	23.9
	14.049999999999999	10.5		25.825	20.5
	15.33125	10.7		25.525	19.5
	15.3625	9.7		24.331249999999997	21.9
	14.637500000000001	10.2		23.456249999999997	19
	13.987500000000002	12.2		23.918749999999996	19.7
	14.150000000000002	9.4		24.256249999999998	24.2
	14.768750000000002	13.4		24.08125	26.9
	14.524999999999999	15.5		24.175000000000004	23
	15.006249999999998	14.3		23.668750000000003	20.7
	14.762499999999998	11		23.856249999999992	26.6
	14.506249999999998	17.9		22.256249999999998	32.3
	13.6875	19.3		22.675000000000004	36.8
	14.018749999999999	16.9		22.375	28.6
	13.9625	13		23.800000000000004	23.7
	14.318750000000003	13		25.056250000000002	26
	15.418749999999998	15.8		24.249999999999996	31.4
	14.912499999999998	19.9		24.3	33.2
	14.1625	19		22.668750000000003	29.2
	13.512500000000003	15.2		23.881249999999994	25.3
	14.106250000000001	10.4		24.412499999999998	20.6
	14.362500000000002	11.3		23.131249999999998	25.6
	13.737499999999999	15.6		23.625000000000004	32.1
	13.937500000000002	14.8		23.137500000000003	28.3
	13.51875	10.1		22.974999999999998	23.5
	14.212500000000002	9.9		23.400000000000002	27.4
	14.33125	15		24.499999999999996	32.1
	15.04375	18.2		25.05	36.5
Aug.	15.306249999999999			24.50625
	14.306249999999999		13.6	23.3625		23.6
	14.493749999999999		14.8	22.087500000000002		21.2
	13.725		14.4	22.262500000000003		19.8
	13.725000000000001		13.2	22.9375		23.7
	13.5125		11.1	23.637500000000003		21
	13.956249999999999		11.2	24.49375		23.6
	14.23125		10.1	23.506249999999998		22.9
	14.24375		9.8	23.2875		23.5
	14.0375		14.3	23.668750000000003		24.5
	13.7875		13.8	23.781250000000004		23.3
	14.231250000000001		14.2	23.906249999999996		23.5
	13.512500000000001		13.3	21.7		22.6
	12.75		13.3	22.587500000000002		22.9
	13.30625		13.1	23.15625		22.5
	13.418750000000001		12.8	22.587500000000002		21.7
	12.493750000000002		12.4	21.55		21.6
	11.431249999999999		11.5	19.693749999999998		20.4
	11.35625		11.4	20.9		21.3
	12.2		12.7	22.193749999999998		21.7
	12.85625		12.9	22.418749999999996		21.9
	13.431250000000002		13.1	22.3375		22.2
	12.89375		12.4	22.575		22.3
	12.912500000000001		12.7	21.19375		21.7
	12.10625		12.8	20.481250000000003		20.9
	12.637500000000001		12.7	21.25		21.5
	12.93125		12.5	20.968750000000004		20.6
	12.70625		12.1	21.081249999999997		20.8
	11.825000000000003		11.6	21.11875		20.8
	11.574999999999998		11.7	19.10625		19.1
	10.9125		11.1	19.175		19.2
Sep.	11.30625		11.5	19.63125		19.6
	11.043750000000003			19.33125
	11.1			19.2375
	10.812500000000002			18.775
	10.293750000000001			18.95625
	10.774999999999997			19.325
	9.74375			18.931250000000002
	9.525			18.8625
	9.66875			17.775000000000002
	9.675000000000002			17.987499999999997
	9.96875			17.85625
	9.80625			17.475
	10.243750000000002			17.54375
	9.6625			17.0375
	9.393749999999999			17.25
	8.45			16.856250000000003
	8.831249999999999			17.068749999999998
	8.90625			16.631249999999998
	8.94375			16.9375
	9.349999999999998			16.7
	9.475000000000001			16.04375
	8.637500000000001			15.418750000000001
	8.387500000000001			15.09375
	8.64375			14.937500000000002
	7.7437499999999995			15.312499999999998
	7.975			15.174999999999999
	7.61875			14.700000000000001
	6.7875			13.86875
	7.506249999999999			14.53125
	7.300000000000001			14.462499999999999
Oct.	7.55			13.7875
	7.012499999999999			13.168750000000003
	7.475			14.41875
	6.737500000000001			14.899999999999999
	7.8187500000000005			15.0875
	8.3375			13.712499999999997
	7.36875			14.250000000000002
	7.64375			13.5125
	7.293749999999999			14
	7.531250000000001			13.787500000000001
	7.45			13
	7.831250000000001			13.556250000000002
	6.68125			12.943750000000001
	6.39375			12.749999999999998
	6.44375			12.725
	7.0125			12.2875
	6.86875			12.974999999999998
	7.09375			13.393749999999999
	7.06875			12.90625
	6.599999999999999			12.343749999999998
	6.0562499999999995			12.1625
	5.84375			11.493750000000002
	5.2625			10.968749999999998
	5.506249999999999			10.781249999999998
	5.731249999999999			10.70625
	5.3062499999999995			10.393750000000002
	5.0687500000000005			10.231249999999998
	4.5875			9.918750000000001
	5.01875			10.3375
	4.4125000000000005			10.093750000000002
	4.16875			9.568750000000001
Nov.	4.481249999999999			9.612499999999997
	3.7624999999999997			8.468750000000002
	3.3625000000000003			8.1875
	3.8749999999999996			7.756249999999999
	3.4625			7.9
	2.2687500000000003			7.156249999999999
	1.6125			6.6812499999999995
	1.7062500000000003			6.1000000000000005
	3.15625			7.818749999999999
	2.36875			7.1812499999999995
	2.06875			6.86875
	1.83125			6.5562499999999995
	1.9374999999999998			6.187500000000001
	1.75625			6.1375
	1.11875			5.31875
	0.30624999999999997			4.9125000000000005
	-0.2875			4.393750000000001
	0.3375			4.656249999999999
	0.89375			4.5
	0.5375			4.468750000000001
	0.7124999999999999			4.293750000000001
	1.43125			4.706250000000001
	1.68125			5.53125
	2.03125			5.8875
	1.53125			5.35
	1.05			5.124999999999999
	1.11875			5.018750000000001
	0.8187500000000001			4.7749999999999995
	0.6749999999999999			4.550000000000001
	0.45625000000000004			4.3812500000000005
Dec.	0.8874999999999998			4.96875
	1.6375000000000002			5.99375
	3.03125			6.593750000000001
	2.4125			6.312499999999999
	2.7937499999999997			6.956250000000001
	2.50625			6.7
	2.44375			6.062500000000001
	2.8625000000000003			6.356249999999998
	3.25625			6.9125
	3.3812499999999996			7.3687499999999995
	2.01875			6.275
	2.24375			6.1312500000000005
	1.8250000000000002			5.88125
	1.58125			5.306249999999999
	0.9937499999999998			5.14375
	1.40625			5.812499999999999
	3.4400000000000004			7.246666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

30 Jul. 26

-8°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust28.21°C

Coldest MonthJanuary-1.12°C

Wettest MonthMay4.44mm

Windiest MonthFebruary21.19km/h

Bielefeld 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 Bielefeld historically?

August is historically Bielefeld's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2022-07-19.

2. What is the coldest month in Bielefeld historically?

January is Bielefeld's coldest month, with average minimum temperatures around 0°C. The all-time record low of -17°C was recorded on 2021-02-12.

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

Bielefeld's average annual rainfall is approximately 820.6mm, based on records spanning 17 years.

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

Bielefeld historically records approximately 223.5 rainy days per year. December has the highest number of rain days at an average of 21.1 days.

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

The all-time highest temperature recorded in Bielefeld is 37°C on 2022-07-19.

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

The all-time lowest temperature recorded in Bielefeld is -17°C on 2021-02-12.

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

Bielefeld experiences its strongest winds during December. The historic gust record of 49.1 kph was recorded on 2010-02-28.

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

Usually, Bielefeld's humidity peaks in December at around 86.9% and drops to its lowest in August at approximately 70.2%.

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

Bielefeld 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

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

Bielefeld 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

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