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

Laiyang Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.9625	-4.6		4.16875	1.5
	-3.09375	-4.5		3.4812500000000006	1.5
	-3.46875	-3.9		3.8249999999999997	4.6
	-2.9187499999999997	-1.2		3.81875	5.2
	-2.86875	-1.5		3.2375000000000003	4.6
	-3.1937500000000005	-1.4		2.8062499999999995	4.7
	-3.30625	-2.4		2.3125000000000004	2.7
	-3.8375000000000004	-3.4		2.4187499999999997	3.6
	-3.9437500000000005	-0.3		1.78125	6.2
	-4.30625	-3.3		2.375	3.6
	-4.0375000000000005	-5.1		1.6375000000000002	-1.7
	-4.0375000000000005	-3.9		2.5187500000000003	6.3
	-3.2500000000000004	-1.9		3.7749999999999995	2.9
	-3.5062499999999996	0.5		3.2750000000000004	8.1
Jan.	-4.13125	1.1		2.23125	9.9
	-4.16875	-2.1		2.21875	10.1
	-3.5812500000000003	-3.9		3.1812500000000004	1.5
	-2.8875	-4.1		3.6375	0.6
	-2.80625	-5.8		4.1375	-2.4
	-3.4187500000000006	-7		2.7750000000000004	-3
	-3.8999999999999995	-7.3		2.8375	-2
	-3.68125	-9.1		1.9875	-0.1
	-4.7124999999999995	-6.7		1.99375	2.3
	-4.225	-4.8		2.2187500000000004	3.5
	-4.3125	-4.8		2.4000000000000004	0.7
	-3.83125	-4.2		3.05	4.2
	-3.4374999999999996	-4.1		2.6437500000000003	0.8
	-3.6625	-4		2.6499999999999995	1.8
	-4.05	-3.6		3.13125	1.5
	-3.1375	-3.1		3.5624999999999996	0.9
	-2.6687499999999997	-3		4.243750000000001	3.9
	-3.65625	-3.5		2.9875	5.9
	-3.91875	-3.5		2.8875	3.4
	-3.91875	-2.2		3.1875	5.4
	-3.6437499999999994	1.5		3.2062499999999994	7.3
	-3.343750000000001	-4		2.3	7.3
	-3.6687500000000006	-8.4		3.625	-4.8
	-4.6625	-8.4		1.6812500000000001	-1.5
	-4.075	-7.9		2.2499999999999996	1.3
	-4.29375	-3.1		2.975	4.9
	-2.8687500000000004	0.7		3.8437500000000004	7.1
	-2.3687500000000004	-0.7		4.6375	7.5
	-1.675	1.1		4.7250000000000005	9.9
	-1.7437500000000001	3.1		5.5125	11.7
	-1.41875	3.7		5.275	14
Feb.	-2.6687499999999997	-0.3		3.5812500000000007	6.1
	-3.1687499999999997	-1.8		3.925	4.4
	-2.8874999999999997	-2.3		3.2750000000000004	7.5
	-2.2437499999999995	-0.1		4.656249999999999	6
	-1.6749999999999998	0.6		6.256249999999999	8.4
	-1.2874999999999996	3.3		5.518749999999999	12.1
	-0.8312499999999999	5.2		6.662499999999999	11.7
	-1.2875	0.4		5.324999999999999	10.8
	-1.71875	-1.4		5.987500000000001	2.8
	-1.00625	0.4		6.50625	4.9
	-0.675	0.7		7.2875	7.1
	-0.45625	1.9		7.63125	7.4
	0.09374999999999993	1.3		7.7250000000000005	10.2
	1.03125	0.8		7.362499999999999	7.9
	-0.5499999999999999	4.2		6.2	8.4
	-1.34375	2.4		7.1000000000000005	4.6
	-0.06250000000000006	1.3		8.05625	8.6
	1.1499999999999997	1.3		9.4375	7.3
	0.16875000000000004	1.2		7.524999999999999	5.4
	0.06875000000000002	-1.8		7.512499999999999	3.8
	0.60625	-2.6		7.98125	6.1
	1.1	0.2		9.543750000000001	7.4
	0.30625	0.2		8.80625	7.3
	0.5499999999999999	-0.5		9.2375	7.7
	2.10625	4.2		9.85625	7.4
	1.725	1.6		9.06875	10.7
	2.3437500000000004	1.7		10.14375	8.2
	2.05625	4.6		10.906250000000002	11
Mar.	1.95625	3.4		10.381249999999998	11
	1.6937500000000003	2.2		10.6875	10.1
	2	3.3		9.58125	10.1
	3.25625	1.2		10.706250000000002	8.6
	3.01875	-0.2		11.818750000000003	10.5
	3.2875	3.4		10.53125	12.9
	2.40625	4.7		11.15625	11.8
	3.0749999999999997	6.7		11.600000000000001	12.4
	3.6812500000000004	6.6		12.500000000000002	14.3
	3.64375	5.9		12.5375	12.1
	3.79375	6.7		12.68125	16.2
	4.1875	8.6		12.3375	19.9
	4.3374999999999995	9.7		14.125	18.6
	4.29375	8.8		12.412500000000001	15
	4.050000000000001	7.9		13.2375	15
	4.8374999999999995	8.1		13.975000000000001	15.8
	5.24375	6.3		14.125	17.1
	5.168749999999999	7.5		13.59375	15.9
	5.25	7		13.6125	16.6
	5.1312500000000005	8.7		13.50625	13.9
	5.718750000000001	4.9		13.681249999999999	13.6
	6.175	7		13.45	18.9
	4.95625	6.7		14.025	14.9
	5.418750000000001	5.3		14.9125	13.5
	6.2875	6.2		16.381249999999998	12.3
	7.1875	8.1		15.600000000000001	11.5
	7.14375	7.7		15.849999999999998	17.7
	6.943750000000001	9.5		15.118749999999999	16.9
	7.143750000000001	8.3		15.13125	18.8
	7.281249999999999	10.2		15.024999999999999	19.3
	7.3625	11.2		15.943750000000001	19.2
Apr.	7.556249999999999	11.6		17.70625	21.3
	8.468750000000002	11.3		17.30625	17.4
	8.387500000000001	10.8		16.575000000000003	16.6
	8.35	10.1		16.975	20
	8.53125	10.5		17.5125	19.4
	8.43125	7.8		16.831249999999997	16.6
	8.818750000000001	7.6		15.975	17.9
	9.0625	10.6		16.512499999999996	15.4
	9.237499999999999	10.8		16.58125	19.5
	9.28125	11.3		17.25	20.6
	9.337499999999999	10.6		17.743750000000002	18.9
	9.681249999999999	10.2		18.79375	18.8
	9.45	10.8		17.475	20.5
	9.84375	10.3		17.900000000000002	17.9
	10.725	9.4		19.44375	20
	10.712499999999999	9.5		20.1625	19.8
	10.84375	11.4		20.425	24.1
	11.818750000000003	12.1		20.556249999999995	20.9
	11.7125	9.8		19.781250000000004	15.3
	11.499999999999998	7.6		19.8875	20.9
	11.550000000000002	10.9		20.031250000000004	17.3
	11.862499999999999	12.5		19.8125	19.6
	12.224999999999998	10.7		21.162499999999998	19.7
	12.11875	9.7		20.075	23.7
	11.900000000000002	12.1		19.374999999999996	21
	11.725	13.4		19.3625	18
	12.093750000000002	13.3		20.562499999999996	19.5
	12.487500000000002	13		21.55	23.3
	13.149999999999999	12.7		21.750000000000004	21.4
	13.0375	12.9		21.96875	20.3
May	13.437499999999998	13.5		21.812500000000004	21.1
	13.506250000000001	13		22.04375	21.1
	13.918749999999998	14.5		22.43125	20.9
	14.53125	15.8		22.8625	19.4
	14.09375	15.8		22.631249999999998	17.7
	14.131250000000001	14.4		22.556250000000002	16
	14.181250000000002	14.1		22.937499999999996	23.1
	14.69375	13.6		23.268749999999997	19.1
	14.5	15.9		23.468750000000004	21.2
	14.4	15.8		23.56875	20.8
	15.024999999999999	15.2		23.681250000000002	21.6
	15.187500000000002	17.8		23.818749999999998	19.9
	15.90625	18		24.025	21.2
	16.168749999999996	17.4		24.3375	28.6
	16.4375	17.1		24.96875	29.5
	16.500000000000004	18.1		24.849999999999998	29.5
	16.1625	18.6		24.23125	25.9
	16.34375	17.5		24.056250000000006	24.4
	16.125	16.7		23.731250000000003	24.7
	16.45625	18.9		25.0375	21.4
	16.668750000000003	16.7		25.168750000000003	25.3
	17.237499999999997	15.1		24.8	25
	17.068749999999998	17.5		24.3375	21.8
	17.275000000000002	16.1		24.981250000000003	22.9
	17.6125	15.1		25.337500000000002	25.1
	17.8875	17.3		25.34375	27.3
	17.7625	16.3		24.675	25.7
	17.4125	16.9		25.249999999999996	25.5
	18.0125	17.8		25.887499999999992	27.2
	18.125	18.6		25.1	26.3
	18.143749999999997	18.4		25.11875	23.7
Jun.	18.456249999999997	17.6		26.0875	24.5
	19.0375	18.2		26.51875	24.9
	19.06875	19.6		26.443749999999998	26
	19.19375	20.4		26.775000000000002	26.9
	19.2625	19.9		26.406250000000004	24.4
	19.4375	19.7		27.031250000000007	30.9
	19.6125	19.4		27.393749999999997	29.4
	20.293750000000003	19.5		27.418749999999996	27.6
	20.137500000000003	18.7		27.125	25
	20.087500000000002	18.9		26.90625	27.5
	19.849999999999998	18.4		25.775000000000002	26.4
	19.775	17.4		26.493750000000002	29.4
	20.212500000000002	20		26.79375	27.2
	20.875	20.6		27.53125	26.3
	20.88125	20.8		27.031249999999993	26.6
	21.1375	20.9		27.137500000000003	26.3
	21.15625	20.5		27.7375	25.2
	21.46875	21		27.537500000000005	27.5
	21.4375	22.5		27.35625	28.9
	21.24375	21.6		28.512500000000003	26.7
	21.525000000000002	22.3		27.956250000000004	29.2
	21.781250000000004	21.6		27.5	29
	21.756249999999998	20.7		27.39375	23.9
	21.756249999999998	19.6		28.474999999999998	28.2
	22.125	22.8		28.4875	27.3
	22.356250000000003	23.3		27.86875	27
	22.443749999999998	23.5		29.3375	28.4
	22.44375	23.4		27.950000000000006	28
	22.4625	24.4		28.70625	25.6
	22.625000000000004	21.5		29.337500000000002	27.9
Jul.	22.425	21.5		28.7625	28.6
	22.443749999999998	22.8		27.8625	26.7
	22.318749999999998	20.3		28.106250000000003	24.1
	22.40625	22		27.981249999999996	29
	22.51875	22.6		28.625	27.6
	23.162499999999998	21.1		28.125	24.9
	23.162499999999998	20.4		28.875000000000004	29.2
	23.693749999999998	22		29.393750000000004	28.1
	23.693750000000005	22.9		28.64375	27.3
	23.481250000000003	23.4		29.025	27.5
	23.65625	24.4		29.49375	29.9
	23.80625	24.2		29.65625	29.6
	23.96875	24.6		29.125	30.6
	23.924999999999997	24.3		29.13125	30
	24.125000000000004	23.7		29.45	29.6
	24.262500000000003	24.6		29.468749999999996	32.3
	24.331249999999997	25.3		30.037499999999994	32.1
	24.25625	25.5		29.48125	31.6
	24.787499999999998	25.5		30.1625	30.9
	24.675	25		29.950000000000003	30.6
	24.725	24		29.637500000000003	31.9
	24.718749999999996	22.7		29.70625	32.1
	24.400000000000002	23.5		29.85625	33
	23.931250000000002	24.9		29.81875000000001	34
	23.962500000000002	22		29.550000000000004	33.1
	23.393749999999997	23.1		28.850000000000005	31.4
	23.443750000000005	23.7		29.16875	29.3
	23.612500000000004	24.9		29.625	29.2
	23.712500000000006	22.5		29.450000000000003	29.5
	23.843750000000004	21.1		28.906249999999993	28.4
	23.668750000000003		21.8	29.162499999999998		28.9
Aug.	23.40625		22.2	29.2875		27.2
	23.056250000000002		21.3	29.174999999999997		28.8
	22.462500000000002		21.1	29.29375		27.8
	22.3875		21.4	28.874999999999996		28.7
	23.33125		22.7	28.4875		28.6
	22.643750000000004		24.2	28.275000000000002		29.1
	21.73125		23.8	28.250000000000004		29.7
	22.18125		22.2	28.199999999999996		30.1
	21.750000000000004		21.7	27.918750000000003		28.2
	21.300000000000004		21.4	28.4		28.4
	21.2		21.2	27.7125		27.7
	20.86875		20.8	28.3		27.7
	20.831249999999997		20.7	26.237500000000004		26.5
	20.831249999999997		20.5	26.968750000000004		26.8
	20.5375		20.4	26.7		26.6
	19.949999999999996		19.8	26.831249999999997		26.7
	19.71875		19.5	27.112499999999997		27.1
	20.25		20.2	27.4375		27.5
	20.306249999999995		19.7	27.106250000000003		26.6
	19.6875		19.5	26.40625		26.3
	19.287499999999998		19.3	26.5125		26.3
	19.1125		19.5	26.45625		27
	19.69375		19.7	26.856250000000003		26.8
	19.28125		19	26.606249999999996		26
	19.275		19	26.549999999999997		26.5
	19.21875		19.3	26.150000000000002		26.3
	19.349999999999998		19.1	26.281249999999996		26.3
	19.150000000000002		19	26.26875		26
	19.231250000000003		19.2	25.69375		25.2
	18.95625		18.6	25.93125		25.9
	19.40625			26.00625
Sep.	19.075000000000003			25.425
	18.24375			25.60625
	17.76875			25.149999999999995
	18			25.206249999999997
	17.868749999999995			24.181250000000002
	17.3			24.093750000000004
	16.7875			25.2
	16.58125			23.8875
	16.41875			23.95
	16.650000000000002			24.150000000000002
	16.9625			23.537499999999998
	17			24.09375
	17.106250000000003			23.893749999999997
	16.7875			22.818749999999998
	15.61875			23.168750000000003
	15.7875			23.218749999999996
	15.393749999999999			22.462499999999995
	14.699999999999998			22.41875
	14.625			21.95625
	14.093750000000002			21.624999999999996
	13.74375			20.6375
	13.893749999999997			20.856249999999996
	13.9125			20.918750000000003
	13.9125			20.88125
	13.618749999999999			21.362500000000008
	13.35			20.250000000000004
	12.756250000000001			20.0875
	12.35625			20.325000000000003
	12.831250000000002			20.237499999999997
	12.78125			20.750000000000004
Oct.	12.506250000000001			19.93125
	12.268749999999999			19.962500000000006
	11.437500000000002			18.2125
	11.4625			18.64375
	11.218749999999998			19.01875
	10.88125			18.075
	11.2125			18.98125
	11.450000000000001			19.08125
	10.643750000000002			18.2875
	10.006250000000001			17.58125
	10.54375			17.675
	9.75625			16.9625
	9.25			16.69375
	9.881250000000001			17.974999999999998
	9.299999999999999			16.45625
	9.468750000000002			16.712500000000002
	9.6375			17.53125
	9.23125			16.781249999999996
	8.812500000000002			16.1625
	8.6375			16.075
	9.29375			16.118750000000002
	8.799999999999999			16.287500000000005
	8.625			15.18125
	8.06875			14.9125
	6.3374999999999995			13.418750000000001
	6.5687500000000005			13.8375
	6.737500000000001			13.51875
	7.40625			13.6125
	6.15			13.843750000000002
	6.375000000000001			14.031249999999998
	5.7749999999999995			13.41875
Nov.	6.262499999999998			13.5625
	6.1			12.656250000000002
	5.9375			12.55625
	4.7			11.643749999999999
	5.03125			11.75625
	4.4125			11.8875
	5.34375			12.30625
	4.76875			11.23125
	3.2375			9.931250000000002
	1.88125			8.76875
	1.74375			9.09375
	2.78125			9.450000000000001
	2.3937500000000003			8.818750000000001
	2.39375			9.075
	1.6062500000000004			8.375
	0.55			7.337500000000001
	0.7062499999999996			7.224999999999999
	0.43749999999999994			7.16875
	0.30000000000000004			7.406249999999999
	0.4062499999999998			7.231250000000001
	0.4000000000000001			7.66875
	-0.4187499999999999			6.5249999999999995
	-0.49375000000000013			6.45
	0.33749999999999997			6.6875
	0.4749999999999999			6.83125
	-0.42499999999999993			6.593749999999999
	-0.8812500000000003			4.70625
	-1.1625			4.76875
	-1.3375			5.2124999999999995
	-1.4125000000000003			4.9875
Dec.	-1.55			4.16875
	-2.45625			3.075
	-3.093750000000001			2.925
	-2.29375			4.30625
	-1.8312499999999998			5.050000000000001
	-2.075			4.674999999999999
	-1.6625			4.875000000000001
	-0.9937499999999999			4.825
	-2.0500000000000003			3.84375
	-3.4062499999999996			2.875
	-3.4			2.9375
	-3.368750000000001			2.75625
	-3.25625			3.35
	-2.2062500000000003			4.04375
	-2.15625			4.425
	-3.4625			3.6625
	-3.4866666666666664			2.1466666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

34°C

Highest Temp

7 Aug. 26

-9°C

Lowest Temp

22 Jan. 26

Seasonal Breakdown

Hottest MonthAugust31.15°C

Coldest MonthJanuary-3.66°C

Wettest MonthJuly6.21mm

Windiest MonthMay24.35km/h

Laiyang 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 Laiyang historically?

August is historically Laiyang's hottest month, with average maximum temperatures around 29°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2025-07-06.

2. What is the coldest month in Laiyang historically?

January is Laiyang's coldest month, with average minimum temperatures around -3°C. The all-time record low of -13°C was recorded on 2016-01-23.

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

Laiyang's average annual rainfall is approximately 773.8mm, based on records spanning 17 years.

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

Laiyang historically records approximately 115.8 rainy days per year. July has the highest number of rain days at an average of 20.3 days.

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

The all-time highest temperature recorded in Laiyang is 36°C on 2025-07-06.

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

The all-time lowest temperature recorded in Laiyang is -13°C on 2016-01-23.

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

Laiyang experiences its strongest winds during April. The historic gust record of 52.6 kph was recorded on 2013-03-09.

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

Usually, Laiyang's humidity peaks in July at around 81.3% and drops to its lowest in March at approximately 56.2%.

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

Laiyang 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

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

Laiyang 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

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