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

Lippstadt Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.6375	1.1		6.524999999999999	2.7
	1.525	-0.2		6	1.6
	1.74375	-2.1		5.64375	0
	1.11875	-1.7		4.9875	0.4
	0.8249999999999998	-9		4.7875	-1.9
	0.8499999999999999	-9.2		5.3625	-2.1
	0.7562499999999999	-7.3		4.987499999999999	-0.6
	1.2187500000000002	-2.7		4.83125	1.5
	1.0687499999999999	1.2		5	4.7
	0.08750000000000005	-5.6		4.65625	2.1
	-0.3125	-7.3		4.231249999999999	-0.3
	0.19374999999999998	-3.4		4.4437500000000005	4
	0.5625	4		4.75	7.1
	0.07499999999999984	4.6		4.43125	7.9
Jan.	-0.11249999999999984	4.8		4.33125	8.6
	-0.6937500000000001	4.8		3.9749999999999996	9.8
	-1.29375	2.4		3.58125	6.8
	-2.18125	-0.4		3.4625	6.7
	-2.1250000000000004	-0.9		3.00625	7.6
	-2.3562499999999997	-1.5		2.3687500000000004	6.7
	-2.8375000000000004	-2		2.84375	6.3
	-1.7562499999999999	-0.7		3.4375000000000004	6.9
	-0.89375	1.2		3.4875000000000003	6.2
	-0.99375	-0.9		4.0249999999999995	3.9
	-1.2750000000000004	-1.3		3.6375000000000006	4.9
	-1.2	-0.7		3.6812499999999995	0.8
	-0.2624999999999999	-1.2		4.88125	2.4
	0.16875	-0.2		5.406250000000001	1.5
	0.47499999999999987	-0.5		5.15	2.8
	-0.18124999999999966	-3.6		5.0375	3.4
	-0.5125000000000005	-0.3		4.325	4.3
	-0.275	1		4.543749999999999	4.9
	-0.25	-0.6		4.81875	3.8
	0.4375000000000002	-2.6		4.887499999999999	2.1
	-0.06250000000000025	0.2		5.06875	6.2
	-0.11250000000000007	1		5.0375	5.7
	-0.3375	-0.2		4.6125	6.6
	-1.66875	3		4.23125	8.8
	-2.0874999999999995	2.3		3.83125	8
	-1.56875	-0.2		4.1625	7.3
	-1.8750000000000004	-0.2		4.03125	10.2
	-1.3000000000000003	4.5		3.5875000000000004	9.1
	-2.1750000000000003	4.7		3.4250000000000007	7.9
	-1.9374999999999996	1		4.90625	7.1
	-1.05625	-3.6		5.9312499999999995	0.8
Feb.	0.024999999999999967	-4.5		7.0125	3.9
	1.34375	1.5		7.9437500000000005	4.4
	0.9874999999999999	0.5		7.225000000000001	3.4
	1.13125	-2.2		7.2124999999999995	1.3
	0.49374999999999974	-0.4		6.300000000000001	2.7
	0.7875000000000001	-2.9		7.206250000000001	5.6
	2.0124999999999997	5.4		7.631249999999998	9.3
	1.8562500000000002	9.1		8.23125	11.6
	1.5375	7.8		7.775	9.7
	1.43125	4.7		7.8812500000000005	10.9
	1.04375	6.8		7.924999999999999	15.6
	0.6875	7.1		6.824999999999999	16.6
	-0.11875000000000008	8.6		6.999999999999998	17.3
	-0.2	7.6		6.981249999999999	13.9
	0.39375000000000004	2.7		7.35	12.1
	-0.23125000000000007	3.9		7.6625000000000005	14.2
	0.35	5.2		8.0875	15.5
	0.30000000000000004	4		8.725000000000001	13.8
	0.48125000000000007	5.3		8.15625	16.3
	0.16250000000000006	5.1		8.44375	17.5
	0.36875	5.8		8.3875	16
	0.5	5.7		8.631249999999998	16.8
	1.21875	5.6		9.512500000000001	16.1
	0.875	6.5		9.950000000000001	17.2
	1.0374999999999999	5.8		8.69375	12.2
	1.8374999999999997	3.1		9.025	12
	1.8375	5.4		9.375000000000002	12
	1.7249999999999999	1.5		8.531249999999998	4.4
Mar.	1.4687499999999998	1.5		9.299999999999999	7
	1.65	2.3		10.00625	8.7
	2.1125	0.9		9.481250000000001	7.2
	1.7750000000000001	0.9		10.256249999999998	12.6
	2.1812500000000004	2.4		10.46875	14.1
	2.3500000000000005	3.6		11.268749999999997	12.3
	2.175	3		11.025	13.1
	2.0562499999999995	1.5		10.818749999999998	13.8
	2.9187499999999997	2.7		11.2375	13.3
	1.96875	4.5		11.43125	14.5
	2	1.1		11.025	10.8
	1.9437500000000003	-1.8		9.8875	6
	1.6187500000000004	-2.7		11.53125	8.2
	2.41875	0.4		12.75625	7
	3.7375	-1.2		12.524999999999999	8.9
	3.787500000000001	2.8		12.65625	7.6
	3.8312500000000007	0.4		11.9875	9.2
	2.85625	0.5		10.718749999999998	11.2
	1.9999999999999998	0.5		11.549999999999997	11.7
	3.2625	0.9		11.931249999999999	12.4
	3.381249999999999	9.4		11.593749999999998	13.9
	2.6750000000000003	6.5		10.81875	13.8
	3.075	1.9		12.518749999999999	12.1
	3.95	1.4		14.425	13.7
	3.7187500000000004	1.7		13.262500000000001	16.3
	3.6500000000000004	5.5		14.325	16.6
	4.1875	3.9		13.768749999999999	11.1
	4.268750000000001	2.2		13.450000000000001	17.1
	4.012500000000001	4.7		13.668750000000003	12.1
	5.2625	4.4		13.556250000000002	10
	3.9875000000000003	4.2		13.874999999999998	14.2
Apr.	4.06875	4.4		13.918750000000001	17.3
	4.01875	9.2		13.762499999999998	17.2
	3.7937500000000006	8.9		14.331250000000004	19.1
	3.8062499999999995	10.3		13.975	17.6
	4.3625	4.2		15.350000000000001	12.8
	4.8875	2.3		15.6875	10
	4.8	2.7		15.756249999999996	12.8
	5.074999999999999	0.9		15.449999999999998	15
	4.9750000000000005	1.4		15.487499999999999	15.8
	4.949999999999999	0.5		15.837499999999999	15.6
	5.525	1.6		15.05625	15.3
	4.5687500000000005	1.1		14.06875	13.9
	4.39375	2.6		13.062499999999996	15.9
	4.612500000000001	4.8		15.8625	15.7
	6.162499999999999	2.2		17.0375	15.1
	6.10625	2.7		16.63125	16.3
	6.4375	5.4		16.0875	21
	6.33125	8.2		15.53125	24.2
	5.949999999999999	12.2		15.86875	22.1
	5.637500000000001	9		14.281249999999998	18.9
	4.6312500000000005	10.8		15.58125	14.5
	5.55	7.2		16.05	8.6
	6.7875	5.5		16.39375	10.2
	6.887499999999998	4.8		17.10625	15.2
	8.006250000000001	4.4		19.0125	18
	8.637500000000001	6.7		18.031250000000004	18.4
	8.975000000000001	3.2		18.65625	11.5
	8.51875	2.8		17.35625	10.4
	7.112499999999999	5.3		16.6	13.2
	6.949999999999999	4.2		16.974999999999998	9.9
May	6.49375	0.5		16.58125	13.4
	6.700000000000001	3.8		16.15	13.2
	6.993750000000001	3.1		15.99375	14.1
	7.31875	6.7		17.375	13
	7.856249999999999	5.7		18.36875	16.4
	8.543750000000001	10.3		18.881249999999998	17.4
	9.31875	8.2		19.5625	18.4
	9.4125	9.7		19.9625	23.3
	9.55	13		19.4625	26.4
	8.862499999999999	13.7		18.53125	23.5
	8.63125	10.7		17.724999999999998	24.9
	9.13125	12.3		18.593749999999996	27.9
	9.29375	9.2		18.75	20
	9.337500000000002	5.9		19.1125	20.1
	8.86875	9.7		19.05625	28.4
	9.781249999999998	14.3		19.450000000000003	22.6
	9.70625	13.3		20.262499999999996	20.5
	9.800000000000002	13.4		19.599999999999998	21.2
	9.825	12.7		20.575	23.5
	10.51875	11.1		21.475	19
	10.4125	11.6		21.662499999999998	18.3
	11.424999999999999	10.3		22.15625	17.6
	10.937500000000002	8.8		20.975	20.3
	10.8875	11.1		20.9375	17.7
	11.375	10		21.13125	22.3
	11.15	8.4		21.731250000000003	16
	11.612499999999999	7		21.525	17.7
	11.537499999999998	7.2		21.200000000000003	16.2
	10.65625	10.2		20.593750000000004	18.5
	10.849999999999998	8.5		20.68125	17.6
	10.83125	8		21.887499999999996	16.3
Jun.	11.48125	7.7		20.999999999999996	14.8
	11.075000000000001	9.1		20.756249999999998	22.5
	11.324999999999998	12.6		22.131249999999998	22.9
	13.11875	15		23.09375	27.7
	13.187500000000002	18.3		21.94375	32.5
	12.224999999999998	18		21.862499999999997	31.2
	11.268750000000002	18		21.45	29
	12.275	15.6		22.51875	26.7
	11.687499999999998	14.8		21.03125	27.4
	12.000000000000002	17.4		21.8	31.2
	13.174999999999999	19.9		22.64375	31.4
	12.700000000000001	19.1		22.737499999999997	35.4
	12.2125	19.3		22.906250000000004	35.5
	12.993749999999999	19.1		24.0375	31.2
	13.968750000000002	17		24.09375	26.3
	13.2	14.7		23.356250000000006	25.4
	13.399999999999999	12.8		22.325	23.2
	13.187499999999998	11.3		23.225	24.9
	12.36875	8.6		22.468750000000004	22.2
	12.5875	8.4		23.55625	23.4
	13.537500000000001	13.3		23.76875	20.2
	13.39375	12.3		22.825000000000003	24.3
	12.456249999999999	15.1		22.9875	26.9
	11.793750000000001	14		22.66875	20.5
	12.943749999999998	11.6		22.50625	23.4
	13.05	12.2		22.9625	25.1
	13.624999999999998	13.8		23.5625	26.8
	13.143749999999999	14.5		22.631249999999998	27.9
	13.187500000000002	12.2		21.49375	28.3
	12.96875	15.5		21.925000000000004	26.7
Jul.	12.55	13.2		21.637500000000003	25.7
	12.806249999999997	13.6		22.749999999999996	26.4
	12.9125	14.4		23.35	27.7
	13.218749999999998	11.8		24.4625	23.1
	13.825000000000001	10.4		26.075000000000003	21.2
	14.931249999999999	8.4		25.381249999999998	19.1
	15.024999999999999	8.3		24.36875	22.3
	14.5125	9.1		23.599999999999998	18.9
	13.906250000000002	11.2		23.981250000000003	20.4
	13.950000000000001	8.2		24.34375	23.7
	14.35	12.8		24.381249999999998	27.4
	14.087499999999999	14.5		24.387500000000003	23.5
	14.931250000000002	13.8		24.049999999999997	21
	14.49375	10.4		24.09375	26.6
	14.243749999999999	16.8		22.525000000000006	33.1
	13.56875	18		22.793750000000003	37.6
	13.55	16.5		22.700000000000003	28.5
	13.86875	13.7		24.125	24.1
	14.2875	13		25.156249999999996	27.1
	15.300000000000002	15.9		24.61875	33.8
	15	18.5		24.4625	33.7
	13.70625	17.9		23.13125	29
	13.38125	14.4		24.225	25.3
	13.94375	8.9		24.76875	21.2
	14.212499999999999	10.5		23.34375	27
	13.700000000000001	15.5		24.0625	32.3
	13.575	14.4		23.325	29.2
	13.25	8.8		23.225	24.2
	13.862499999999999	9.7		23.812500000000004	28.8
	14.2875	14.1		24.89375	33.2
	14.5125	17.9		25.41875	36.5
Aug.	15.03125	19		24.468749999999996	34.8
	14.068750000000001		12.7	23.64375		24.3
	14.10625		13.7	22.262499999999996		21.8
	13.468749999999998		14.3	22.775		19.6
	13.2625		12.6	22.95625		25.5
	12.90625		10.1	23.8625		22.3
	13.312499999999998		10.6	24.78125		24.4
	13.89375		9.4	23.875000000000004		23
	13.812499999999998		8.4	23.606249999999992		23.7
	13.762500000000001		14	24.018749999999997		24.5
	13.431250000000002		13.5	23.95625		23.5
	13.75		13.7	24.0625		23.7
	13.125000000000002		13.1	21.86875		22.7
	12.425		12.9	22.7375		23
	12.85		12.6	23.450000000000003		22.7
	13.006250000000001		12.5	22.64375		21.8
	12.5125		12.3	21.712499999999995		21.7
	11.5		11.5	19.8875		20.6
	10.99375		10.9	21.156250000000004		21.7
	11.862500000000002		12.3	22.23125		21.6
	12.28125		12.5	22.756249999999998		22.1
	12.9125		12.6	22.662500000000005		22.4
	12.637500000000001		12.1	22.718749999999996		22.4
	12.40625		12.2	21		21.7
	11.56875		12.2	20.8375		21.4
	12.212499999999999		12.3	21.3875		21.6
	12.537499999999998		12.1	21.45		20.9
	12.200000000000001		11.5	21.362499999999997		21
	11.343749999999998		11.3	21.437500000000004		21.1
	11.543749999999998		11.5	19.343749999999996		19.3
	10.64375		10.8	19.3875		19.5
Sep.	11.06875		11.3	20.006249999999998		19.8
	10.79375			19.700000000000003
	10.887500000000001			19.643749999999997
	10.818750000000001			18.974999999999998
	9.831250000000002			19.4
	10.387500000000001			19.568749999999998
	9.649999999999999			19.375000000000004
	8.93125			19.26875
	9.18125			18.13125
	9.20625			18.243750000000002
	9.8125			18.381250000000005
	9.45625			17.7125
	9.600000000000001			17.762499999999996
	9.343749999999998			17.412499999999998
	9.375			17.5625
	8.112499999999999			16.962500000000002
	8.2875			17.53125
	8.593750000000002			17.200000000000003
	8.518749999999999			17.262500000000003
	9.21875			17.00625
	8.962499999999999			16.05
	8.35			15.743750000000002
	7.9125			15.312499999999998
	8.25625			15.149999999999997
	7.26875			15.662500000000001
	7.575000000000001			15.562499999999998
	7.46875			15
	6.375			14.45
	7.693749999999999			14.799999999999999
	7.031250000000001			14.968750000000002
Oct.	7.20625			14.10625
	7.131250000000001			13.687499999999998
	7.287499999999999			14.987499999999999
	6.2875000000000005			14.925
	7.85			15.381250000000001
	8.6			14.168750000000001
	7.200000000000001			14.812500000000002
	7.612499999999999			13.73125
	6.9312499999999995			14.406249999999998
	7.199999999999998			14.1875
	7.14375			13.4875
	7.5062500000000005			13.912500000000003
	6.824999999999999			13.2
	6.03125			13.018749999999997
	6.63125			13.024999999999999
	6.643749999999999			12.575000000000001
	6.481249999999998			13.24375
	6.725			13.81875
	7.09375			13.243750000000004
	6.593749999999999			12.712499999999999
	5.95625			12.275000000000002
	5.5125			11.73125
	4.874999999999999			11.312499999999998
	5.425			10.931249999999999
	5.5249999999999995			11.200000000000001
	5.11875			10.88125
	4.86875			10.6875
	4.0874999999999995			10.30625
	4.94375			10.593750000000002
	4.2375			10.53125
	4.0625			10.18125
Nov.	4.2124999999999995			9.825000000000001
	3.3562499999999997			8.924999999999999
	2.9187499999999997			8.43125
	3.7125			8.16875
	3.3499999999999996			8.1625
	1.875			7.731250000000001
	1.55625			6.968750000000001
	1.5687499999999999			6.56875
	3.0375			8.225
	1.8812499999999996			7.793750000000001
	1.64375			7.1625000000000005
	1.4562500000000003			6.874999999999999
	1.6437500000000003			6.643750000000001
	1.29375			6.474999999999999
	0.9375			5.65
	-0.2562499999999999			5.287499999999999
	-0.6499999999999999			4.7375
	-0.13124999999999992			4.90625
	0.44375			4.81875
	0.14999999999999994			4.7875000000000005
	0.4625			4.6875
	0.9625			5.14375
	1.34375			5.7437499999999995
	1.6125			6.1125
	1.375			5.556250000000001
	0.71875			5.29375
	0.94375			5.225
	0.7374999999999999			5.268749999999999
	0.26874999999999993			4.7875
	0.125			4.574999999999999
Dec.	0.6499999999999999			5.431249999999999
	1.24375			6.406249999999999
	2.48125			6.8125
	1.9375			6.55
	2.6			7.412500000000001
	2.34375			6.956250000000001
	2.0500000000000003			6.3374999999999995
	3.0624999999999996			6.8625
	3.5437499999999997			7.29375
	3.25			7.481249999999999
	1.9062500000000002			6.5874999999999995
	2.1312500000000005			6.54375
	1.5250000000000004			6.175
	1.28125			5.375000000000001
	0.78125			5.262500000000001
	1.05625			6.1499999999999995
	3.3333333333333335			7.46

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

30 Jul. 26

-9°C

Lowest Temp

6 Jan. 26

Seasonal Breakdown

Hottest MonthAugust29.35°C

Coldest MonthJanuary-1.25°C

Wettest MonthMay4.47mm

Windiest MonthFebruary21.94km/h

Lippstadt 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 Lippstadt historically?

August is historically Lippstadt's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2019-07-25.

2. What is the coldest month in Lippstadt historically?

January is Lippstadt's coldest month, with average minimum temperatures around 0°C. The all-time record low of -18°C was recorded on 2021-02-10.

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

Lippstadt's average annual rainfall is approximately 812.02mm, based on records spanning 17 years.

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

Lippstadt historically records approximately 222.2 rainy days per year. December has the highest number of rain days at an average of 20.9 days.

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

The all-time highest temperature recorded in Lippstadt is 38°C on 2019-07-25.

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

The all-time lowest temperature recorded in Lippstadt is -18°C on 2021-02-10.

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

Lippstadt experiences its strongest winds during February. The historic gust record of 56.3 kph was recorded on 2018-01-18.

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

Usually, Lippstadt's humidity peaks in January at around 87.5% and drops to its lowest in August at approximately 71.2%.

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

Lippstadt 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

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

Lippstadt 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

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