Qingdao Historic Weather Records
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Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.0125	-2		4.7250000000000005	1.7
	-1.48125	-2.6		4.61875	1.1
	-1.5875	0.5		4.631249999999999	4.4
	-1.3187499999999999	2.2		4.093749999999999	5
	-1.2999999999999998	1.4		4.0062500000000005	4.9
	-2.2624999999999997	3		3.6250000000000004	5.9
	-2.1937499999999996	1.1		2.9499999999999997	3.5
	-2.1250000000000004	0		3.2937499999999997	4.6
	-2.525	4.2		2.8375000000000004	7.7
	-2.6999999999999997	-0.1		3.05625	6.5
	-2.2687500000000007	-3.5		2.8312500000000003	0.5
	-2.2375000000000003	1.1		3.2624999999999997	7
	-1.4625	1.2		4.225	3.6
	-1.6375	5.6		4.56875	7
Jan.	-2.5562500000000004	4.1		3.1375	8.5
	-2.5374999999999996	0.5		3.175	9.4
	-1.775	-1.6		4.21875	1.6
	-1.30625	-1.1		4.4375	0.6
	-1.0624999999999998	-4.5		5.11875	-0.6
	-1.6875	-5.1		3.4374999999999996	-2.1
	-2.15625	-5.9		3.5625000000000004	-1.2
	-2.2124999999999995	-5		2.7812500000000004	0.6
	-3.4124999999999996	-1.8		2.56875	2.7
	-2.3875	-1		2.6374999999999997	2.6
	-2.53125	0.8		3.49375	2
	-2.006249999999999	0.6		3.39375	4
	-2.0749999999999997	-0.9		3.3375000000000004	1.8
	-1.8562500000000002	1.6		3.5437500000000006	3.6
	-2.4937500000000004	-0.5		3.9374999999999996	3.2
	-0.8875000000000001	-0.9		4.21875	0.9
	-1	0.4		4.74375	4.2
	-1.8312499999999998	0.1		4.09375	5.9
	-2.1	0.1		3.7500000000000004	3.9
	-1.74375	1.5		3.6999999999999997	4.5
	-1.96875	3.9		3.6749999999999994	5.9
	-1.3375	-1.4		3.1187499999999995	8.2
	-1.85625	-5.8		4.20625	-2.2
	-2.9499999999999997	-5.9		2.425	-0.6
	-2.7124999999999995	-4.9		2.8375000000000004	1.9
	-2.325	1		3.375	3.4
	-1.2125	2.2		4.05	5
	-0.7500000000000004	1.3		4.79375	6.1
	0.18125000000000008	3.8		4.90625	7
	-0.28125	5.7		5.281249999999999	8
	0.07500000000000027	6		5.231250000000001	9.5
Feb.	-1.0875000000000001	1.3		4.03125	7.4
	-1.56875	0		4.543749999999999	4.8
	-1.4625	0.8		4.062499999999999	5.7
	-0.5874999999999997	2.5		5.0249999999999995	6.3
	-0.12499999999999994	3.7		6.124999999999999	7.1
	0.050000000000000065	5.9		5.60625	11.2
	0.73125	7.4		6.1125	12
	0.23125	3.9		5.6499999999999995	11.7
	-0.29375000000000007	2.5		5.8687499999999995	4.1
	0.8312500000000002	1.4		6.425000000000001	4.1
	1.1500000000000001	3.4		7.3125	6
	0.9750000000000001	4.8		7.674999999999999	6.1
	1.3312500000000003	4.1		6.781249999999998	8.7
	2.35625	3.8		6.831249999999999	6.1
	0.8500000000000001	5		6.875	5.8
	0.44375	3.3		7.1187499999999995	5
	1.94375	2.9		7.406250000000001	6.5
	2.3562500000000006	4.1		8.86875	5.6
	2.4125	4		7.54375	5.6
	1.6875000000000004	0.3		7.456250000000001	4.4
	1.8437500000000002	-0.3		7.6625000000000005	3.2
	2.725	2.7		9.125	5.6
	1.6687500000000002	3.6		8.2875	7.7
	2.2187499999999996	3.7		8.46875	6.8
	3.63125	5.4		9.381249999999998	6.8
	3.475	4.4		9.125	8.4
	3.7624999999999997	5		9.45625	7.3
	3.6375	6.4		9.95625	8.3
Mar.	3.625	4.8		10.068750000000001	8.4
	3.70625	5.6		9.825000000000003	7.5
	4.0125	6.1		9.200000000000001	8.2
	4.3375	4		10.20625	8.9
	4.487500000000001	2.8		10.5875	7.3
	4.5625	6.4		10.362499999999999	9.3
	3.7625	7.3		11.150000000000002	9
	4.58125	7.5		10.98125	9.8
	5.575	7.7		11.506250000000001	10.3
	5.0249999999999995	8		11.33125	10.2
	5.206250000000001	8.4		11.5625	12.2
	5.3687499999999995	9.7		11.4	14
	5.775	10.5		13.062499999999998	15.9
	6.0375	9.5		11.5625	11.1
	5.8125	9.6		12.018749999999999	11
	6.6937500000000005	9.8		12.475	12.6
	6.89375	7.6		12.506250000000001	13.2
	6.36875	9.3		12.075	13.1
	6.525	9.1		12.6125	13.4
	6.3625	10.2		12.61875	12
	7.262500000000002	6.1		12.8125	13.1
	7.312499999999999	9.2		13.10625	15.3
	6.7375	9.5		12.55	13.4
	6.98125	8.6		12.8125	11.7
	7.48125	8.5		14.387499999999998	11
	8.60625	8.9		13.7	13
	8.143749999999999	9.8		14.418749999999998	17.8
	8.30625	11.5		14.037500000000001	14.5
	7.8062499999999995	10.8		13.743750000000002	15
	8.36875	10.7		13.925	16.7
	8.60625	11.8		14.612499999999999	15.5
Apr.	9.056250000000002	12.3		15.837499999999999	16.7
	9.5125	11.4		15.693750000000003	15
	9.70625	11.3		15.075000000000003	14.9
	9.337499999999999	12		15.693750000000001	16.2
	9.375	12.2		15.543750000000003	16
	9.6875	8.8		14.981250000000001	15.7
	9.643749999999999	11.1		14.65625	14.6
	9.912499999999998	10.3		15.906249999999998	13.1
	10.35	11.7		15.581249999999999	16.9
	10.7	13		15.88125	16.8
	10.7125	12.3		16.28125	15.7
	11.193749999999998	12.5		17.368750000000002	15.5
	10.525	12.8		16.74375	18.3
	11.087499999999997	12		16.7375	16.9
	11.612499999999999	11.5		18	17.1
	12.20625	12		18.387499999999996	17.3
	12.137500000000001	13.4		18.9	19.2
	12.75	13.7		18.69375	17.9
	12.4625	11.8		18.46875	16.3
	12.387500000000001	11.2		18.21875	18.5
	13.218750000000002	13.2		18.281249999999996	16.6
	13.081250000000002	15		18.83125	17.3
	13.28125	13.9		19.493750000000002	18.7
	13.049999999999999	12.9		18.50625	20.8
	12.78125	14.6		17.906250000000004	18.1
	12.4	14.4		17.974999999999998	17
	13.25625	15.4		18.89375	18.9
	13.65625	14.5		20.175	18.9
	14.25625	14.7		19.86875	18.4
	14.193749999999998	14.6		19.9625	18.7
May	14.493749999999999	15.4		19.7625	18.6
	14.725	15.3		20.125000000000004	18.7
	15.1875	15.9		20.80625	18.7
	15.21875	16.5		20.69375	17.5
	15.23125	16.2		20.631249999999998	17.4
	15.28125	15.4		20.718749999999996	16.2
	15.062499999999998	14.8		20.43125	22.5
	15.725000000000001	16		20.868750000000002	18.5
	15.450000000000001	16.4		21.268749999999997	20
	15.631249999999998	17		21.3125	19.8
	16.2125	17.4		21.7625	19.4
	16.424999999999997	18		21.431250000000002	20.7
	16.8375	18		22.287500000000005	21.7
	17.0625	18.7		22.38125	26.4
	17.06875	18.5		22.36875	26.8
	17.249999999999996	20.3		22.39375	25.7
	16.912499999999998	19.9		21.9875	22.5
	17.10625	19.5		21.756249999999998	22.4
	16.950000000000003	18.8		21.79375	23.1
	17.412499999999998	19.4		23.275	21.7
	17.9625	19.1		23.168750000000003	23.4
	18.11875	18.8		22.518749999999997	22.5
	18.243750000000002	19.3		22.45625	21.2
	18.26875	17.8		23.074999999999996	23.5
	18.36875	19		23.2	22.8
	18.906249999999996	19.6		23.099999999999994	24.1
	18.537499999999998	19		22.7625	24.7
	18.2	19.9		22.98125	23.7
	18.637500000000003	20.3		24.0625	24.7
	18.987499999999997	20.4		23.712500000000006	24.7
	18.9625	19.6		23.212500000000006	21.5
Jun.	19.375000000000004	19.6		24.6125	22.8
	19.95625	20.4		24.69375	23.4
	19.925	21		24.224999999999998	24.2
	20.012499999999996	21.5		24.331249999999997	24.4
	20.168749999999996	20.7		24.31875	23.1
	20.20625	20.4		25.1875	27.3
	20.456249999999997	21.4		25.225	26.1
	20.912499999999998	21.6		25.531249999999996	24.7
	20.975	20.8		25.45625	23.9
	20.88125	21.4		25.08125	25.1
	20.7375	21.6		24.8125	26.8
	20.7	20.5		24.9375	25.4
	21.05	22		25.46875	25.4
	21.875	22.2		25.79375	25.1
	21.543749999999996	22		25.549999999999994	25
	21.825	22.3		25.875	24.8
	21.912499999999998	22.3		26.10625	25.1
	22.475	22.8		26.343749999999996	26.1
	22.45625	23.4		26.174999999999997	26.5
	22.581250000000004	22.6		26.624999999999996	25.1
	22.393749999999997	23.4		26.61875	27.7
	22.59375	22		26.162500000000005	27.2
	22.725	21.1		26.45625	23.4
	22.450000000000003	21.5		27.131249999999998	26.4
	22.925	23.5		26.7	27
	23.324999999999996	23.4		26.931250000000006	26.2
	23.55	23.7		27.6875	26.6
	23.54375	24.4		26.724999999999998	26.5
	23.41875	24.4		27.924999999999994	25.5
	23.862500000000004	23.9		28.3125	28.4
Jul.	23.73125	23.6		27.887500000000003	26.6
	23.256249999999998	23.2		27.224999999999998	24.4
	23.15625	21.4		27.1	24.3
	23.587500000000002	22.8		27.006250000000005	26.7
	23.8875	23.9		27.293750000000003	25.9
	23.900000000000002	23.3		27.425	25.4
	24.068749999999998	22.9		27.975000000000005	27.3
	24.6875	23.5		28.7875	26.9
	24.35	23.7		28.125000000000004	26.6
	24.500000000000004	23.7		28.543750000000003	26.9
	24.687500000000004	24.5		28.368749999999995	28.8
	24.881250000000005	25.3		28.875	28.6
	24.98125	25.4		28.3875	30
	24.931250000000002	25.3		28.54375	28.5
	25.20625	25		28.78125	28.5
	25.612499999999997	25.8		29.199999999999996	29.9
	25.493750000000002	26		29.225	29.7
	25.437500000000004	26.4		29.1375	29.6
	25.625000000000004	26.5		29.281250000000004	29.8
	25.681250000000002	26.9		29.3	29.9
	25.96875	26.3		29.175	30.1
	25.900000000000002	26		29.381249999999998	30.4
	25.537499999999998	26.2		29.3125	31.2
	25.5	27.3		29.224999999999998	31.3
	25.318749999999998	25.3		29.1875	31.3
	25.093750000000004	24.2		28.950000000000003	30.3
	25.056250000000002	26.6		29.143750000000004	28.7
	25.299999999999997	26.9		29.131249999999998	29.2
	25.543749999999996	26.3		29.01875	28.8
	25.25625	25.3		28.65	27.6
	25.075000000000003	24.8		28.868750000000002	27.8
Aug.	24.912500000000005		22.9	28.993749999999995		31.4
	24.5		22.1	28.725		32.1
	24.50625		22.5	28.79375		33.5
	24.400000000000002		22.5	28.425		32.4
	24.762500000000003		23.5	28.1		32.6
	24.393749999999994		22	28.343750000000004		26.9
	23.425		21.5	28.2625		31.3
	23.606250000000003		21.8	28.143749999999997		33.6
	23.39375		21.7	28.099999999999998		29.2
	22.987500000000004		21.3	28.2125		29.2
	22.549999999999997		21	27.75625		28.4
	22.618750000000002		20.8	27.718750000000007		28.2
	22.46875		20.6	26.56875		27
	22.60625		20.5	26.53125		27.4
	22.168749999999996		20.6	26.65625		27.2
	21.6375		20	26.64375		27.6
	21.54375		19.7	27.15		27.9
	21.80625		19.9	27.01875		28.4
	21.8875		19.8	26.675000000000004		27.4
	21.549999999999997		19.3	26.443749999999994		27
	21.306250000000002		19.8	26.181250000000002		27.1
	21.03125		19.6	26.456249999999997		27.9
	21.156249999999993		19.9	26.887500000000006		27.6
	21.2625		19.1	26.575		26.9
	21.2375		19.1	26.150000000000002		27.6
	21.168750000000003		19.5	25.793750000000003		27.3
	21.24375		19.2	26.318749999999998		27.5
	21.125		18.8	26.287499999999998		26.8
	20.987499999999997		19.2	25.762500000000003		26.1
	20.825000000000003		18.8	25.900000000000006		26.6
	21.1875		19.2	25.924999999999994		26.4
Sep.	20.93125			25.2625
	20.1625			25.324999999999996
	19.65625			24.856250000000003
	19.75			25.250000000000004
	19.3625			24.9625
	19.175			24.55
	18.7875			25.35625
	19.2375			24.337500000000002
	18.412499999999998			24.437500000000004
	18.35625			23.9
	18.787499999999998			23.718750000000004
	18.7625			24.018750000000004
	18.925			23.912499999999998
	18.443749999999998			22.687499999999996
	17.51875			23.375
	18.062500000000004			23.224999999999994
	17.668750000000003			22.65625
	17.06875			22.95
	16.6			22.31875
	16.325			22
	15.925			21.4375
	16.200000000000003			21.375000000000004
	15.918750000000001			20.81875
	16.33125			21.606250000000003
	15.806250000000002			21.56875
	15.5875			20.599999999999998
	14.981249999999998			20.625
	14.456249999999999			20.350000000000005
	14.968750000000002			20.462500000000002
	14.83125			20.78125
Oct.	14.45			20.18125
	14.54375			20.212500000000002
	13.743749999999999			18.86875
	13.65			19.099999999999998
	13.381249999999998			19.443749999999998
	13.156249999999998			18.293750000000003
	13.437499999999998			19.043750000000003
	13.612499999999997			19.2375
	13.0125			18.4625
	11.89375			17.887500000000003
	12.61875			17.84375
	11.868749999999997			17.681249999999995
	11.63125			17.13125
	12.324999999999998			18.09375
	11.66875			17.2625
	11.675000000000002			17.2125
	11.662500000000001			17.43125
	11.58125			16.96875
	11.424999999999999			16.5125
	11.09375			16.78125
	11.724999999999998			16.6375
	10.906249999999998			16.6875
	10.95			15.812499999999998
	9.474999999999998			15.706249999999999
	8.950000000000001			14.025000000000002
	8.812500000000002			14.39375
	9.281249999999998			14.3125
	9.275			14.34375
	8.6875			14.181249999999997
	8.7			14.318749999999996
	8.350000000000001			13.99375
Nov.	8.375			14.4125
	8.125			13.531250000000002
	7.86875			12.993750000000002
	6.85			12.293750000000003
	7.200000000000001			12.287499999999998
	7.1875			12.56875
	7.862500000000001			12.918750000000001
	7.187499999999999			12.23125
	5.481249999999999			10.712500000000002
	3.8124999999999996			9.5375
	4.2375			10.018749999999999
	4.5687500000000005			10.437500000000002
	4.437500000000001			9.974999999999998
	4.706250000000001			10.043750000000001
	3.6687499999999993			9.518749999999999
	3.0625			8.200000000000001
	2.725			8.34375
	2.6249999999999996			8.081249999999999
	2.26875			8.531249999999998
	2.5312499999999996			7.987500000000002
	2.7375			8.39375
	1.9500000000000002			7.85
	1.9812499999999997			7.81875
	2.60625			7.5375000000000005
	2.46875			7.58125
	1.71875			7.40625
	0.89375			5.493750000000001
	0.6312500000000001			5.856249999999999
	0.5375000000000001			6.3875
	0.8875			6.2125
Dec.	0.07500000000000004			5.168749999999999
	-0.8187500000000001			3.9187499999999993
	-1.3687500000000004			3.875
	-0.23750000000000004			5.249999999999999
	0.15625			6.0062500000000005
	-0.375			5.381249999999999
	0.26875000000000004			5.7749999999999995
	0.5812499999999999			5.787500000000002
	-0.18124999999999997			5.09375
	-1.7875000000000003			3.85625
	-1.5312500000000002			4.0125
	-1.0375			4.03125
	-0.8562499999999996			4.35
	0.15625000000000003			4.6812499999999995
	-0.39374999999999993			5.543750000000001
	-1.7750000000000001			4.593750000000001
	-2.4333333333333327			3.02

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

31°C

Highest Temp

7 Aug. 26

-6°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthAugust29.71°C

Coldest MonthJanuary-0.26°C

Wettest MonthJuly7.69mm

Windiest MonthJanuary23.81km/h

Qingdao 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 Qingdao historically?

August is historically Qingdao's hottest month, with average maximum temperatures around 28°C. During peak heatwave events, the highest recorded temperatures have reached 33°C on 2018-08-09.

2. What is the coldest month in Qingdao historically?

January is Qingdao's coldest month, with average minimum temperatures around -2°C. The all-time record low of -13°C was recorded on 2016-01-24.

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

Qingdao's average annual rainfall is approximately 780.4mm, based on records spanning 17 years.

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

Qingdao historically records approximately 111.1 rainy days per year. July has the highest number of rain days at an average of 18.7 days.

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

The all-time highest temperature recorded in Qingdao is 33°C on 2018-08-09.

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

The all-time lowest temperature recorded in Qingdao is -13°C on 2016-01-24.

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

Qingdao experiences its strongest winds during December. The historic gust record of 56.2 kph was recorded on 2021-11-07.

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

Usually, Qingdao's humidity peaks in July at around 82.1% and drops to its lowest in December at approximately 55.7%.

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

Qingdao 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

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

Qingdao 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

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