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

Guangzhou Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	10.837500000000002	15.5		20.10625	23.7
	11.956249999999999	11.4		20.5	18.9
	12.787500000000003	9.6		20.8625	18.4
	12.98125	13.3		19.8875	20.4
	13.45	14.8		20.531249999999996	22.2
	13.375	10.1		20.1125	18.8
	12.793750000000001	9.4		19.387500000000003	18.5
	11.84375	9.6		18.975	19.3
	11.84375	10.5		18.2125	19.1
	12.46875	12.9		18.80625	22.5
	11.506250000000001	13.6		17.418750000000003	22
	10.45625	14.2		17.556250000000002	21.9
	11.175	16		18.64375	24.6
	12.15	16.7		19.65625	23.7
Jan.	11.375000000000002	16.8		19.649999999999995	25.2
	11.062500000000002	18.2		19.80625	25.6
	11.343749999999998	18.8		18.781249999999996	26.2
	11.3125	19.7		20.237499999999997	26.3
	12.49375	19.1		21.025	25.8
	12.975000000000001	18.8		20.3625	25.7
	13.031249999999998	11.1		20.737499999999997	20.6
	12.15625	10.5		19.59375	16.8
	11.549999999999999	10.5		18.5375	16.5
	11.656249999999998	16.3		18.09375	20.6
	11.612499999999999	14.8		19.61875	22.9
	11.624999999999998	17.1		18.631249999999998	21.6
	11.718750000000002	19		19.349999999999998	26.5
	11.825	17.2		19.906249999999996	22.1
	11.806250000000002	17.3		19.0875	23.4
	11.656250000000002	18.8		20.212500000000002	22.1
	12.175	17.7		20.09375	21.3
	12.787500000000003	14.4		20.53125	22.5
	13.7	15.1		20.881249999999994	23.6
	14.125	15.4		20.224999999999998	22.7
	13.762500000000001	18.6		20.268750000000004	24.1
	13.75625	18.5		20.624999999999996	26.4
	14.68125	20		22.2875	27.7
	13.93125	19.6		20.743750000000006	25.1
	12.325	13.1		19.86875	18.4
	11.65	13.6		18.631249999999998	20.3
	12.256249999999998	15.3		19.18125	22.3
	12.387500000000003	18		20.275	26.5
	12.80625	18.3		20.843750000000004	23.7
	12.68125	18.7		20.9625	26.1
	12.881250000000001	18.7		21.674999999999997	27.7
Feb.	13.156250000000002	20.3		20.606250000000003	29.1
	12.987499999999999	21.3		20.131249999999998	29.5
	13.481249999999998	17.7		20.724999999999998	23.4
	13.512500000000001	16.2		20.812499999999996	25.8
	13.424999999999999	18.1		20.39375	24.9
	13.799999999999997	19.3		22.2	26.7
	14.543750000000003	20		21.918749999999996	26.4
	14.3375	20.8		20.7875	27.4
	13.75	21.7		21.318750000000005	27.3
	14.056250000000004	21.7		21.5125	27.1
	15.012500000000001	22.2		21.087500000000002	29.6
	14.875000000000002	21.9		21.993750000000002	26.2
	15.6875	22.1		23.387499999999996	26.1
	15.98125	21.2		24.193749999999998	23.7
	16.6375	20.5		24.6875	23.8
	16.25625	19.6		23.893750000000004	23
	16.1625	16.2		23.125	19.4
	16.25	16		23.175	23.4
	16.60625	17.3		24.275	25.6
	16.575	17		23.412499999999998	25.3
	15.312500000000002	18.6		21.793750000000003	25.3
	14.818750000000003	19		21.2125	25.9
	15.218749999999998	18		21.150000000000002	25.5
	14.812499999999998	15.6		21.831249999999997	17
	14.7	16.9		22.200000000000003	24.3
	15.675	19.1		23.0125	26.9
	16.956249999999997	18.5		24.249999999999996	25.8
	17.44375	17.1		23.7375	24.6
Mar.	16.64375	18.9		24.212500000000006	26.1
	16.800000000000004	19.8		23.64375	26.7
	17.743750000000002	20.4		24.543750000000003	27.7
	18.875	21.3		25.274999999999995	29.5
	19.79375	22.5		26.3125	30
	19.425	22.5		26.7625	26.1
	18.806250000000002	22.3		26.112499999999997	27.1
	18.6375	21.7		25.275000000000002	27.3
	18.15625	22.6		25.475	30.3
	17.468750000000004	23.2		25.55625	28.7
	17.33125	24.2		24.46875	32.4
	17.349999999999998	24.4		25.15625	28.2
	17.2875	24.2		25.61875000000001	29.8
	17.63125	24.7		26.0875	29.2
	18.0875	23.8		25.7625	29.3
	19.125000000000007	24.2		25.987500000000004	32.1
	19.706249999999997	25.1		25.662499999999998	31.1
	18.80625	20.1		25.887499999999996	28.4
	18.862499999999997	23.5		26.375	27.1
	19.69375	23.7		27.493750000000002	31.2
	19.86875	19.9		26.893749999999997	25.2
	20.25	23.6		27.30625	27.4
	19.25	24.2		26.512500000000006	31.3
	18.96875	24.9		25.725	30.2
	18.7625	23		25.275000000000002	27.2
	19.43125	23.9		26.5125	29.5
	20.14375	24.1		27.45	32.1
	20.412499999999998	24.4		27.887500000000003	31.2
	20.087499999999995	25.1		28.049999999999994	30.6
	20.23125	24.4		27.43125	30.7
	19.96875	24.8		28.537499999999998	30.7
Apr.	20.099999999999998	25.1		27.506249999999998	31.5
	20.05625	24.9		27.75625	30
	20.781249999999996	24.9		28.675	29
	21.75625	25.6		28.05	32.4
	22.075000000000003	27.3		28.131250000000005	31.8
	22.287499999999994	25.4		28.50625	29.7
	22.0625	25.1		29.050000000000004	31.5
	21.98125	24.8		28.5625	32
	21.750000000000004	20.2		28.59375	25.2
	21.86875	19.2		28.4125	21
	21.543749999999996	20.8		27.543749999999996	28.6
	21.181250000000006	22.8		27.506249999999998	30.2
	21.425	23.8		28.349999999999998	28.1
	22.20625	24		29.012499999999996	28.9
	22.1375	19.4		29.43125	25.3
	21.98125	17.8		29.3	25.9
	22.15	21.3		28.937499999999996	28.3
	22.2625	22.9		28.91875	28.5
	22.256249999999998	22.2		29.20625	29.1
	22.64375	19.9		28.418749999999996	23.6
	22.70625	20.2		29.05	23.9
	23.612499999999997	22.2		29.8	28.6
	23.54375	24.2		29.16875	29.8
	23.731250000000003	23.5		29.05	28.4
	23.500000000000004	21.7		29.7	23.6
	23.75	22.5		29.9	27.4
	23.206249999999997	23.8		29.6125	29.8
	23.3	25.1		29.74375	31.2
	23.66875	25.4		29.500000000000004	32.5
	24.012500000000003	25.8		30.318749999999998	30.1
May	24.006249999999994	25.3		30.60625	30.9
	23.7375	23.6		30.21875	27.3
	23.768750000000004	23.8		30.531250000000004	28.4
	24.312499999999996	23.9		30.893749999999997	29.5
	24.4	24.3		30.24375	27
	24.500000000000004	24.1		30.5125	27.4
	24.668749999999996	25.2		30.493750000000002	28.3
	24.756250000000005	25.8		30.1625	33
	23.88125	26.2		29.85	32.2
	23.9	26.7		29.61874999999999	33.1
	23.987499999999997	27		30.437500000000004	34.1
	24.287499999999998	27		30.868750000000002	32.6
	24.94375	27.1		30.95	34.1
	25.20625	27.2		31.556250000000002	35
	24.943749999999998	28.4		31.0375	35.8
	25.150000000000002	26.6		31.243749999999995	32.3
	25.443749999999994	25.6		32.1875	30.4
	25.28125	26.4		31.462499999999995	31.6
	25.487499999999997	26.3		31.368749999999995	33.7
	25.418750000000003	26.9		32.125	33.9
	25.50625	27.6		31.506249999999998	35.6
	25.26875	28.6		31.075000000000003	35.3
	25.287499999999994	26.4		30.89375	33.6
	25.450000000000003	26.1		31.143749999999994	31.6
	25.64375	26.5		31.562499999999993	31.6
	25.843750000000004	21.4		31.675000000000004	27.8
	25.831249999999997	23.5		31.856250000000003	27.6
	25.637500000000003	24.5		31.312500000000004	29.9
	25.7125	25.3		31.33125	30.3
	25.631250000000005	25.9		31.418750000000003	30.5
	25.5875	25.5		30.91875	27.7
Jun.	25.81875	24.9		31.4875	27.9
	25.862500000000004	24.9		31.200000000000003	28.6
	25.799999999999997	24.9		30.875	28.7
	25.8875	25		31.54375	25.9
	26.106250000000003	24.9		32.43125	28.6
	26.4375	25.7		32.99999999999999	31.7
	26.7375	26.5		33.2	32.4
	26.456249999999997	26.4		31.906250000000004	34.7
	26.1125	27.2		31.750000000000004	33
	26.13125	27.2		31.793750000000003	34.6
	26.2375	27.9		32.10625	35.4
	26.306250000000002	27.7		32.05625	31.9
	26.412499999999994	26.7		32.631249999999994	31.9
	26.64375	25.7		32.8	28.7
	26.624999999999996	26.3		32.79375	31.3
	26.725	26		33.15625	31.4
	26.81875	26.4		33.0625	32.8
	26.518749999999997	27.2		32.61875	34
	26.650000000000002	26.9		32.60625	33
	26.568749999999998	26.4		33.05	29.6
	26.587500000000002	26		33.49375	30.3
	26.8	26.3		33.06875000000001	30.5
	26.718749999999996	25.7		32.537499999999994	27.1
	26.787500000000005	25.3		33.287499999999994	30.8
	26.825	25.9		33.56875	31.2
	26.818749999999998	26.8		33.456250000000004	32.2
	26.956249999999997	27.1		33.4	36.2
	26.98125	28.6		33.26875	35.8
	27.13125	28.1		33.4	34.9
	27.050000000000008	25.8		33.318749999999994	32.4
Jul.	27.187499999999996	25.7		33.73750000000001	27.8
	27.15625	25.7		33.66875	30.1
	26.925000000000004	26.2		33.25	32.4
	26.987499999999997	26.6		32.73125	33.2
	26.55625	27.3		32.71875	33.1
	26.568749999999998	26.3		32.193749999999994	31.8
	26.5875	26.8		32.7	31.8
	26.8875	26.6		33.39375	32.1
	26.962500000000002	27.1		33.18750000000001	32.1
	26.881249999999998	26.8		33.39375	34.4
	26.9875	28.7		34.025000000000006	34.4
	27.15625	24.8		34.15	27.8
	27.25	25.6		33.8625	29.1
	27.112499999999997	25.6		33.54375	29.1
	26.931250000000002	24.7		33.212500000000006	25.3
	26.875	25.4		33.675	30
	27.275000000000002	24.7		33.68749999999999	28.1
	27.1375	24.7		33.73125	28.2
	27.05625	24.8		33.287499999999994	29
	26.668750000000003	24.8		32.081250000000004	28.7
	26.362500000000004	25.6		32.956250000000004	30.2
	26.9375	26.5		33.00625	32.6
	26.70625	26.6		32.80625	34.9
	26.756249999999998	27.5		33.425	35.3
	27.362500000000004	29.7		34.33125	36.9
	27.475000000000005	29.2		34.16875	37.1
	27.55625	28.9		33.318749999999994	35.4
	27	28.9		32.53125	36.5
	27.124999999999996	29.5		33.0375	36.7
	26.837500000000002	28.1		32.39374999999999	34.9
	26.525	26.6		32.26875	29.1
Aug.	26.518749999999997	27.2		32.01875	33.3
	26.59375	28		32.71874999999999	34.4
	26.71875	20.1		32.25	22
	26.4		27.3	31.975		34.3
	26.300000000000004		27.7	31.993750000000002		35.9
	26.31875		28.1	32.35625		33.1
	26.606249999999996		27.3	32.87499999999999		30.9
	26.724999999999998		26.5	33.50625		33.3
	26.78125		27.4	32.725		34.4
	26.74375		27.5	33.08125		35.8
	26.299999999999997		27.2	32.887499999999996		34.3
	26.4875		25.6	33.325		33.1
	26.599999999999998		25.9	33.11875		32.9
	25.987499999999997		25.3	32.76875		32.4
	26.393749999999997		25.6	33.25		32.8
	26.250000000000004		25.6	33.106249999999996		32.7
	26.275		25.5	32.449999999999996		32.3
	26.18125		25.5	31.837500000000002		31.7
	26.175000000000004		25.5	32.393750000000004		31.9
	26.0625		25.2	32.45		32.2
	26.1375		25.3	32.64375		32.2
	26.175		25.5	32.65624999999999		32.4
	26.24375		25.6	32.8		32.1
	26.24375		25.5	32.09375000000001		31.6
	25.825		25.1	31.3625		31.3
	25.64375		25.2	31.856250000000003		31.7
	25.993750000000002		25.1	32.050000000000004		31.9
	25.881249999999998		25.3	32.31875		32.2
	25.862499999999997		25.2	32.55		32.3
	25.85		25.2	32.706250000000004		32.1
	25.500000000000004		24.8	32.64375		31.9
Sep.	25.45625		24.6	32.45625		31.8
	25.543750000000003		24.9	31.73125		31.7
	25.506249999999998		24.9	32.6875		32.3
	25.693750000000005			33.175
	25.50625			32.775000000000006
	25.0375			31.75625
	24.63125			30.662500000000005
	24.4375			30.868750000000002
	24.362499999999994			31.25
	24.375			31.10625
	24.225			30.975000000000005
	24.306250000000002			32.16875
	24.987500000000004			32.525
	25.2			32.306250000000006
	24.918750000000003			31.912499999999994
	24.65625			31.518750000000004
	24.3			31.46875
	23.875000000000004			31.224999999999998
	23.45625			31.218750000000004
	23.556250000000002			30.8375
	23.381250000000005			30.64375
	22.987499999999997			30.056250000000002
	22.868750000000002			30.518750000000004
	22.987499999999997			30.487499999999997
	22.88125			29.931250000000002
	22.493749999999995			29.656250000000004
	22.087500000000002			29.40625
	22.012499999999996			29.662500000000005
	22.224999999999998			29.449999999999996
	22.225			29.4125
Oct.	21.950000000000003			29.01875
	21.49375			29.362500000000004
	21.631249999999998			29.412499999999998
	21.206249999999997			28.60625
	20.931250000000002			28.193749999999998
	20.90625			28.631250000000005
	20.300000000000004			28.131249999999994
	20.24375			27.2375
	20.35625			28.5875
	20.600000000000005			28.5
	20.89375			28.662500000000005
	20.843750000000004			28.312499999999993
	20.737500000000004			28.818750000000005
	20.41875			27.762499999999996
	20.53125			28.237499999999997
	19.912499999999998			27.41875
	19.512500000000003			27.349999999999998
	19.4875			27.893749999999997
	18.693749999999998			26.6875
	19.1125			26.275
	19.6875			26.80625
	20.03125			27.037499999999998
	20.50625			27.325
	20.031249999999996			27.78125
	19.637499999999996			26.631249999999998
	18.824999999999996			26.656249999999996
	19.10625			25.868750000000002
	18.86875			26.25
	18.368750000000002			25.58125
	18.150000000000002			25.668750000000003
	18.962500000000002			25.95
Nov.	19.687499999999996			26.48125
	19.493750000000002			26.49375
	18.58125			26.26875
	17.91875			25.693750000000005
	17.69375			24.737499999999997
	17.8375			25.650000000000002
	18.11875			25.00625
	18.481250000000003			25.26875
	18.106250000000003			24.924999999999997
	16.3875			24.40625
	15.893749999999997			22.712500000000002
	15.806249999999999			23.61875
	15.61875			23.41875
	15.750000000000002			23.543749999999996
	16.46875			24.325000000000003
	15.706249999999999			24.187500000000004
	14.58125			21.33125
	13.600000000000001			21.43125
	13.575			21.875
	14.2375			21.59375
	14.093750000000002			21.025
	14.3			22.29375
	13.30625			21.375000000000004
	13.143749999999999			21.6625
	13.287500000000001			21.06875
	13.39375			22.4125
	14.3375			21.631249999999998
	13.962499999999999			20.375
	13.674999999999999			20.79375
	14.30625			20.6125
Dec.	13.562499999999998			20.075
	12.40625			18.462500000000002
	11.056249999999999			17.756249999999998
	10.481250000000001			18.768749999999997
	11.281250000000002			18.931249999999995
	11.48125			19.618750000000002
	12.674999999999999			20.112499999999997
	12.500000000000002			20.974999999999998
	12.64375			19.9875
	12.237499999999999			19.9375
	11.65			19.6625
	11.799999999999999			19.649999999999995
	11.75			19.68125
	11.881249999999998			19.7875
	11.875000000000002			20.562499999999996
	11.524999999999999			20.043750000000003
	10.653333333333334			19.493333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

9 Aug. 26

9°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust32.66°C

Coldest MonthJanuary14.82°C

Wettest MonthJune14.01mm

Windiest MonthApril23.8km/h

Guangzhou 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 Guangzhou historically?

July is historically Guangzhou's hottest month, with average maximum temperatures around 33°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2024-07-25.

2. What is the coldest month in Guangzhou historically?

January is Guangzhou's coldest month, with average minimum temperatures around 12°C. The all-time record low of 2°C was recorded on 2016-01-25.

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

Guangzhou's average annual rainfall is approximately 2277.5mm, based on records spanning 17 years.

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

Guangzhou historically records approximately 237 rainy days per year. June has the highest number of rain days at an average of 28.5 days.

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

The all-time highest temperature recorded in Guangzhou is 39°C on 2024-07-25.

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

The all-time lowest temperature recorded in Guangzhou is 2°C on 2016-01-25.

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

Guangzhou experiences its strongest winds during April. The historic gust record of 63.2 kph was recorded on 2018-09-16.

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

Usually, Guangzhou's humidity peaks in June at around 77.4% and drops to its lowest in December at approximately 56.6%.

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

Guangzhou Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

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Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

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Yearly Summary 2026

Seasonal Breakdown

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Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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?

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