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

Yantai Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.04375	-3.5		3.5437499999999997	1.1
	-2.93125	-3.2		2.4250000000000003	1.6
	-2.6875000000000004	-1		3.01875	3.7
	-2.44375	0.4		2.94375	4
	-2.3375	0.9		2.3125	3.3
	-2.24375	0.1		1.7625	5.6
	-2.7062500000000003	-0.3		1.7687500000000003	2.6
	-3.05	-1.5		1.9000000000000001	3.6
	-2.8812499999999996	0.2		1.0999999999999999	7
	-3	-2.4		1.7062500000000003	4
	-3.1562500000000004	-5.6		1.375	-1.5
	-3.2125	-4.6		2.2062500000000003	5.3
	-2.75625	-2.3		3.1375	1.6
	-2.8312500000000003	-1.3		2.55625	7.7
Jan.	-3.4062499999999996	1.6		1.3250000000000002	5.2
	-3.6874999999999996	-1.9		1.2500000000000002	4.7
	-3.15625	-3		2.325	-1.6
	-2.5624999999999996	-2.7		3.21875	-1.2
	-1.9000000000000001	-5.7		2.9375000000000004	-2.9
	-2.9124999999999996	-6.5		1.7937500000000002	-3.9
	-3.1437500000000007	-4.7		1.7125000000000001	-3
	-3.3562500000000006	-6.2		1.06875	-0.6
	-3.7625	-6.7		1.0625	1.4
	-3.65	-4.5		0.84375	1.6
	-3.5124999999999997	-3.6		1.1749999999999998	-1.5
	-3.225	-4.8		1.625	1.3
	-2.9749999999999996	-3.5		1.5437499999999997	-1.6
	-3.2187500000000004	-5.7		1.4625	-0.1
	-3.51875	-3.1		2.25	-1.2
	-2.3625000000000003	-3		2.4	-1.8
	-2.24375	-3.2		3.4	1.5
	-3.1125	-3.1		1.3250000000000002	4.2
	-3.4437499999999996	-2.1		1.3375	0.1
	-3.4625000000000004	-1.3		1.9937500000000001	6.3
	-3.3000000000000003	1.5		1.5750000000000004	8.6
	-2.6937499999999996	-4.3		1.8500000000000008	3.9
	-3.16875	-8.1		1.9500000000000002	-5
	-4.3687499999999995	-6.2		0.5687499999999999	-2.7
	-3.3687500000000004	-3.9		0.8312500000000003	-0.3
	-3.6937500000000005	-1.8		2.50625	6.5
	-2.89375	0.7		2.9812499999999997	6.3
	-2.3875	1		4.075	3.7
	-1.6562500000000002	1.9		3.7437500000000004	9.5
	-1.15625	4.3		5.0875	11
	-1.35	4.3		3.86875	12.9
Feb.	-2.475	0.4		2.3000000000000003	3.9
	-3.0187500000000003	-0.3		2.91875	1.1
	-2.36875	-0.7		2.2375000000000003	6
	-1.8312500000000003	-0.2		3.65	3.6
	-1.4000000000000001	0.4		5.3	10.5
	-1.2937499999999997	4.1		4.6625	13.9
	-0.88125	7.6		5.481250000000001	16.5
	-1.21875	2.1		4.324999999999999	11.3
	-1.65	-0.4		5.087500000000001	2.9
	-1.0687499999999999	0.7		5.706250000000001	3.7
	-0.2	1.6		5.8687499999999995	9.1
	-0.6125	2.6		6.1	5.4
	-0.056249999999999994	1.5		6.912499999999999	4
	0.93125	1.3		7.350000000000001	5.8
	-0.24375000000000002	3.5		4.574999999999999	4.4
	-1.33125	2.7		5.58125	3.8
	0.13125000000000006	2.3		8.475	3.9
	1.1625	1.6		8.043750000000001	3.4
	0.6562499999999999	1.5		7.368749999999999	5.2
	0.40625	-0.7		5.875	2.2
	0.29374999999999996	0		7.2875	1.9
	0.7374999999999999	0.2		7.762499999999999	8
	0.3999999999999999	1.1		8.2375	3.7
	1.0187499999999998	0.6		8.899999999999999	9.5
	1.8250000000000002	4.1		10.26875	7.2
	1.7	2.8		8.99375	5.5
	2.1875	2.6		9.29375	10.6
	2.2687500000000003	3.5		9.90625	6
Mar.	1.5624999999999998	3.1		9.725	5.4
	1.675	3.4		9.1	7.6
	2.1499999999999995	4.2		10.075	11.3
	2.90625	1.7		9.049999999999999	6.9
	2.66875	1.6		11.018749999999999	9.9
	3.1	4.9		9.1	7.5
	2.8125	4.2		9.74375	14.7
	2.95625	6.9		10.83125	14.6
	3.8875	5.3		11.749999999999998	8.7
	3.5687499999999996	6.5		10.79375	12.9
	4.0125	7.9		11.687500000000002	18.3
	4.362500000000001	10.4		12.831250000000002	16
	4.674999999999999	7.8		12.831249999999999	13.4
	4.1000000000000005	8.6		12.324999999999998	17.3
	4.5062500000000005	10		12.075	18
	4.8875	6.9		12.268749999999999	10.6
	5.5	6.3		14.25	10.4
	5.79375	6.8		13.05625	9.9
	5.0625	6.5		13.606250000000001	16
	5.2250000000000005	10.8		12.94375	18.5
	5.7125	4.9		13.9125	7
	5.75	6.7		12.243750000000002	15.5
	5.475	6.7		12.131249999999998	9.1
	5.55625	5.9		13.9625	8.2
	6.51875	5.7		14.75	15.6
	7.250000000000001	7.5		16.087500000000002	9.4
	7.0625	7.8		15.6125	12.3
	6.987499999999999	9.3		15.000000000000002	15.1
	7.0875	9.4		14.975000000000001	21.1
	7.331250000000001	10.9		14.94375	13.5
	7.41875	11.7		15.443749999999998	16.7
Apr.	7.918749999999999	12.1		17.587500000000002	17.5
	8.59375	13		17.79375	20.5
	8.593750000000002	11		16.6625	17.3
	8.149999999999999	12		15.124999999999998	21.5
	8.3625	12.9		16.7	22.8
	8.725	6.7		17.26875	12.6
	8.937500000000002	10.2		16.63125	19.6
	8.687499999999998	11.8		15.1125	15.8
	8.9875	11.1		16.84375	17.3
	9.06875	12.4		17.29375	23.1
	9.5	13		17.45625	22.9
	9.775	12.5		18.174999999999997	21
	9.356250000000001	10		16.7625	19.6
	9.80625	10.1		17.8625	12.7
	10.668750000000001	10.3		18.6625	16.8
	10.73125	10.3		18.918750000000003	17.4
	11.175000000000002	12.8		20.287499999999998	19.9
	11.706250000000002	13.4		20.7875	21.6
	11.837499999999997	10.1		20.262500000000003	13.3
	11.975000000000001	10		20.01875	18
	11.725	11.8		20.90625	21.3
	11.356250000000001	14		18.712500000000002	24.5
	11.7875	11.9		19.512500000000003	14.8
	12.19375	12.1		19.69375	18
	11.075000000000001	13.1		18.1125	23.9
	11.499999999999998	15		19.7875	21.7
	12.09375	14.3		20.74375	19.3
	12.24375	13.4		21.49375	18.2
	13.324999999999998	14.5		22.1	27.2
	13.093749999999996	15.4		22.437500000000004	25.1
May	13.25625	14.3		21.9125	24.2
	13.43125	13.7		22.1625	24.1
	14.018749999999997	15.5		22.674999999999997	24.1
	14.731250000000001	16.6		23.0125	22.1
	14.131250000000001	15.9		23.918750000000003	18.5
	14.5625	14		23.250000000000004	15.2
	14.2125	13.7		23.06875	16.8
	15.025	14		23.187499999999996	21.1
	14.75625	16.2		24.262500000000003	23
	15.11875	16.1		24.55	23.6
	15.124999999999996	15.2		22.212500000000002	20.7
	15.456250000000002	16		24.0875	17.6
	15.71875	16.3		23.51875	17.5
	16.3	16.6		25.012500000000003	23.6
	16.693749999999998	17.3		24.693749999999998	24.5
	16.6	19.2		24.11875	29.8
	16.50625	20.7		25.743749999999995	28.6
	16.537499999999998	19.4		23.8625	26.6
	16.425	17.3		24.6375	27.4
	16.58125	19.1		25	23.5
	16.79375	15.7		25.587500000000006	19.7
	17.28125	15.1		25.593749999999996	21.4
	17.418750000000003	15.6		26.14375	18.9
	17.4125	16.1		25.450000000000003	19.6
	17.318749999999998	15.8		25.893749999999997	23.6
	18.031249999999996	17		26.06875	25.2
	17.74375	16.6		24.437499999999996	20.3
	17.275000000000002	17.4		23.90625	23.4
	17.975	18.2		25.9125	26.9
	18.268749999999997	19.6		25.787499999999994	29
	18.193750000000005	19		25.799999999999994	25.9
Jun.	18.65	17.9		26.006250000000005	26.2
	18.931250000000002	18.5		26.4375	26.9
	19.28125	19.8		27.15	27.7
	19.525000000000002	20.8		28.099999999999998	25.8
	19.612500000000004	20.5		26.51875	24.7
	19.318750000000005	19.5		26.4125	22.5
	19.668750000000006	19.1		27.793749999999996	22.7
	20.168750000000003	19.6		27.556250000000002	24.2
	20.15625	18.4		26.7625	25.3
	20.13125	19.6		27.193749999999998	24.5
	19.71875	19.2		25.512500000000003	22.6
	20.09375	18.5		26.387500000000003	23.3
	20.199999999999996	20.2		27.837499999999995	26.9
	20.912499999999994	20.3		28.056250000000002	28.4
	20.718750000000004	20.7		27.875	28
	20.937499999999996	20.6		27.4	27.9
	21.031249999999996	20.5		28.40625	23.8
	21.525	20.3		27.6125	26.4
	21.081249999999997	22.8		26.8	30.4
	21.393749999999997	22.4		28.28125	29.7
	21.731250000000003	21.7		28.79375	28.4
	21.76875	21.2		27.85625	28.8
	21.618750000000002	21.3		27.106249999999996	25.2
	21.875	21.1		28.431249999999995	30.8
	22.206249999999997	23.1		28.1	28.8
	22.243750000000002	23.6		27.65	28.9
	22.375	24.4		27.887499999999996	31.5
	22.2625	23.8		27.79375	30.2
	22.437499999999996	24.3		27.831250000000004	27.5
	22.65	21.8		28.193749999999998	25.6
Jul.	22.381249999999994	22.9		27.849999999999998	27.9
	22.2375	23.6		27.299999999999997	28.2
	22.368750000000002	20.4		27.993750000000002	24.2
	22.45625	21.4		27.825000000000006	25.2
	22.63125	22.6		28.29375	25.9
	23.193749999999998	21.9		28.7125	26.6
	23.1125	21.4		28.7125	27.3
	23.5125	22.9		29.287499999999998	28.7
	23.59375	23.3		28.981249999999996	28
	23.6	23.8		28.89375	30.2
	23.78125	24.2		29.724999999999998	31.2
	23.618750000000002	24.1		30.15625	29.7
	23.862500000000004	25		29.46875	31.7
	23.83125	25.1		29.0125	32.1
	23.999999999999996	24		29.987499999999997	32.2
	23.96875	25.5		29.325000000000006	34.2
	24.337500000000002	26.3		30.093749999999996	34.4
	24.043750000000006	27.3		29.575	34.4
	24.55625	26.7		29.650000000000002	34
	24.543750000000003	25.9		30.1	33.2
	24.437500000000004	25.2		30.131249999999998	32.5
	24.45	24.9		30.14375	30.1
	24.256249999999994	25		29.025000000000002	30.7
	24.1	26.2		29.062499999999996	30
	23.96875	24.5		28.49375	26.2
	23.812499999999996	24.9		28.08125	28.5
	23.63125	24.7		28.349999999999994	30.3
	23.843749999999996	25.2		28.768749999999997	29
	23.918750000000003	23.3		29.250000000000004	27.6
	24.0125	23.6		28.593750000000007	26
	23.818749999999998	23.9		28.58125	27.6
Aug.	23.61875	23.2		28.437499999999996	28.2
	23.287500000000005		21.8	28.512500000000003		29.8
	22.881249999999998		22.2	28.287499999999998		29.5
	22.881249999999998		21.8	28.643749999999997		30.1
	23.6375		22.6	28.4125		31.1
	23.006249999999998		21.7	28.28125		30.8
	22.437499999999996		20.9	27.68125		30
	22.3625		22.3	27.899999999999995		30.4
	22.48125		22.1	27.156249999999996		32.2
	22.28125		21.1	26.674999999999994		27.6
	21.9375		21	27.11875		27.3
	21.818749999999998		20.7	27.375		27.3
	21.65		20.5	25.874999999999993		26.3
	21.356250000000003		20.3	26.537499999999998		26.3
	21.493749999999995		20.3	25.29375		25.9
	21.25		20	25.48125		25.9
	20.75625		19.5	25.99375		26.8
	20.99375		19.7	26.037500000000005		27
	20.693749999999998		19.5	26.187500000000007		26.1
	20.45		19.3	25.306250000000002		25.8
	20.587500000000002		19.4	25.106250000000003		26
	20.6375		19.7	25.912500000000005		26.8
	20.624999999999996		19.3	25.800000000000008		26.1
	20.206250000000004		18.8	25.437499999999996		25.3
	20.15		19	25.949999999999996		26.8
	20.068749999999998		19	25.68125		26.6
	19.981250000000003		19	25.162499999999998		25.7
	19.925		18.7	25.493750000000002		25.6
	20.006249999999998		19.1	24.625000000000004		24.8
	19.78125		18.5	25.193749999999998		25.8
	20.175		18.6	25.0375		25.8
Sep.	19.756250000000005		18.4	24.53125		25.1
	19.20625			24.4125
	19.062500000000004			24.224999999999998
	19.28125			24.3375
	18.99375			23.09375
	18.475			23.281249999999996
	17.668750000000003			23.781249999999996
	17.843749999999996			23.612499999999997
	17.243750000000002			22.9375
	17.562499999999996			23.64375
	17.54375			23.21875
	17.53125			23.48125
	17.768749999999997			23.200000000000003
	17.36875			22.599999999999998
	16.675			22.818749999999998
	16.575			22.474999999999998
	16.568749999999998			22.15
	15.674999999999999			21.700000000000003
	15.681249999999997			20.843749999999996
	14.96875			20.618750000000002
	14.743750000000004			19.875
	14.93125			19.95
	14.806249999999999			20.36875
	14.9625			20.287499999999998
	14.543750000000003			20.756249999999998
	14.65			18.9125
	13.875000000000002			19.006249999999998
	13.30625			19.181250000000002
	13.493749999999997			19.7875
	13.75			19.55
Oct.	13.1625			18.90625
	13.374999999999998			18.225000000000005
	12.918750000000003			17.6
	12.150000000000002			18.200000000000003
	12.124999999999998			18.525
	12.112499999999999			17.65
	12.08125			17.943749999999998
	12.612499999999999			17.987499999999997
	11.674999999999999			17.6875
	11.14375			16.98125
	11.468750000000002			17.39375
	11.006250000000001			16.4
	10.450000000000001			16.175
	11.0125			16.8625
	10.28125			15.931249999999997
	10.18125			16.28125
	10.406249999999998			16.79375
	10.193750000000001			15.6375
	9.7			16.075
	9.5			15.78125
	9.99375			15.862499999999999
	9.58125			16.0375
	9.9125			14.89375
	9.4625			14.125
	7.7625			13.131250000000001
	8.056249999999999			13.068749999999998
	7.86875			12.7375
	8.31875			12.950000000000001
	7.275000000000001			13.40625
	7.749999999999999			13.212499999999999
	6.94375			12.887500000000001
Nov.	6.962500000000001			12.774999999999999
	7.04375			11.874999999999998
	6.362500000000001			12.23125
	6.025			11.48125
	6.206249999999999			11.043750000000001
	5.5875			11.85625
	5.949999999999999			11.76875
	5.6			10.668750000000001
	4.29375			9.55625
	3.6062500000000006			8.381250000000001
	3.474999999999999			8.575000000000001
	3.1999999999999997			9.2
	3.1249999999999996			8.98125
	3.0999999999999996			8.81875
	2.8249999999999997			7.9125
	2.25625			6.91875
	2.3249999999999997			7.1875
	1.8			7.0875
	1.75625			7.2250000000000005
	2.3874999999999997			7.100000000000001
	2.1687499999999997			7.262499999999999
	1.60625			6.3375
	1.21875			6.174999999999999
	0.93125			6.4875
	1.25625			6.5375000000000005
	0.9562500000000003			6.137499999999999
	0.5562499999999999			4.11875
	0.16250000000000003			4.5687500000000005
	0.06875000000000012			4.8812500000000005
	-0.32499999999999973			4.28125
Dec.	-0.5062500000000001			3.7375000000000003
	-0.6437499999999999			2.9124999999999996
	-1.09375			2.95
	-0.8312500000000003			4.306250000000001
	-0.68125			4.3999999999999995
	-0.9			4.025
	-0.025000000000000036			4.3125
	-0.12499999999999994			4.543750000000001
	-0.825			3.6812500000000004
	-1.76875			2.30625
	-2.00625			2.24375
	-2.5249999999999995			2.46875
	-2.55			3.0312499999999996
	-1.4625000000000004			3.5625
	-1.1624999999999999			3.61875
	-1.7437500000000001			2.7750000000000004
	-2.2666666666666666			2.1866666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

34°C

Highest Temp

31 Jul. 26

-8°C

Lowest Temp

6 Feb. 26

Seasonal Breakdown

Hottest MonthAugust29.89°C

Coldest MonthJanuary-2.95°C

Wettest MonthJuly4.66mm

Windiest MonthJanuary27.98km/h

Yantai 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 Yantai historically?

July is historically Yantai's hottest month, with average maximum temperatures around 29°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2023-06-23.

2. What is the coldest month in Yantai historically?

January is Yantai's coldest month, with average minimum temperatures around -3°C. The all-time record low of -12°C was recorded on 2013-01-04.

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

Yantai's average annual rainfall is approximately 712.4mm, based on records spanning 17 years.

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

Yantai historically records approximately 118.3 rainy days per year. August has the highest number of rain days at an average of 18.1 days.

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

The all-time highest temperature recorded in Yantai is 36°C on 2023-06-23.

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

The all-time lowest temperature recorded in Yantai is -12°C on 2013-01-04.

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

Yantai experiences its strongest winds during December. The historic gust record of 52 kph was recorded on 2020-05-18.

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

Usually, Yantai's humidity peaks in August at around 79.6% and drops to its lowest in March at approximately 57.9%.

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

Yantai 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

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

Yantai 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

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