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

Kowloon Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	14.068750000000001	16.7		18.66875	20.3
	14.88125	12.6		18.925	17.8
	15.181249999999999	12.1		19.6875	15.9
	15.19375	14.4		18.96875	18.2
	15.887500000000001	15.5		19.974999999999998	21
	15.168750000000001	12.2		19.89375	18.6
	14.937499999999998	11.5		18.6625	17.5
	14.218749999999998	11.7		19.40625	17.7
	13.9	12.9		18.2	16.9
	14.512500000000001	14.2		18.400000000000002	18.7
	14.1375	14.7		18.225	18.1
	13.025000000000002	15.2		17.993750000000002	17.4
	13.55625	16.1		17.7375	21
	14.293750000000001	16.7		18.89375	19.2
Jan.	14.075	16.4		18.9	20.7
	14.10625	17.6		18.89375	21
	13.9875	17.4		19.28125	21.2
	14.299999999999999	17.8		19.281249999999996	20.1
	15.274999999999999	17.3		19.76875	20.2
	15.775000000000002	17.4		19.987500000000004	20.2
	15.243749999999999	13.7		19.575	17.2
	14.075000000000001	13.3		19.875	15.9
	13.968750000000004	12.6		17.887500000000003	16.1
	13.775000000000002	15.7		17.65	19
	13.9375	16.9		18.306250000000002	19.3
	14.012500000000001	17.8		18.525000000000002	20.1
	14.30625	18.3		18.812499999999996	22.1
	14.274999999999999	17.2		18.799999999999997	19.1
	13.987499999999999	16.5		18.293750000000003	18.2
	14.062499999999998	17.2		18.837500000000002	19.4
	14.49375	18.4		18.65625	19.6
	14.8625	15.9		19.95625	18.5
	15.406249999999996	15.5		19.575	19.4
	15.2125	16.2		19.275000000000002	17.8
	15.206249999999999	17.2		19.35625	19.6
	15.5	17.6		19.39375	21.8
	16.037499999999998	18.7		20.2875	22.4
	15.818750000000003	17.5		20.168750000000003	21
	14.6375	14.1		19.118750000000002	18.2
	14.21875	14.6		18.76875	16.1
	14.8375	15.5		18.89375	19.6
	14.456249999999999	17.3		19.4625	22.2
	14.831250000000002	17.8		19.65625	19.2
	15.075	17.8		19.89375	20.6
	15.356250000000001	18.4		20.075	21.9
Feb.	15.493749999999997	19.4		19.937499999999996	22.9
	15.131250000000003	19.3		20.131249999999998	23.4
	15.6	18.1		19.11875	19.9
	15.337499999999999	17.7		19.25625	20
	15.18125	16.9		19.174999999999997	19.1
	15.40625	17.7		19.9	21.1
	16.65	19.1		19.975	21.4
	16.4	19.4		20.406249999999996	23.2
	16.012500000000003	19.7		20.349999999999998	21
	15.95	19.4		20.05	22
	16.425	20.1		20.45625	22.9
	16.931250000000002	19.7		20.89375	20.4
	16.975	20		21.093749999999996	22
	17.675	19.2		21.650000000000002	21.5
	18.2625	18.9		22.812500000000004	20.1
	17.799999999999997	20.2		22.187500000000004	23.4
	17.75625	17.2		21.187500000000004	21.9
	17.85625	16.9		22.09375	19.3
	18.862500000000004	17.7		22.262500000000003	20.9
	18.21875	17.9		21.837500000000002	21.6
	17.25	18.1		21.4375	19.6
	16.281250000000004	17.1		20.675000000000004	19.4
	16.512500000000003	17.6		20.443750000000005	20.6
	16.756249999999998	16.4		20.96875	18
	16.368750000000002	17		20.968750000000007	19
	17.46875	17.3		21.4125	22.6
	18.156250000000004	16.8		22.375000000000004	18.5
	18.650000000000002	16.7		22.0625	19.8
Mar.	18.056250000000002	17.4		22	20.8
	17.9375	18.4		21.737499999999997	21.2
	18.643749999999997	20		22.168749999999996	21.8
	19.406250000000004	19.9		23.25625	23.4
	19.775	20.9		23.6875	24
	19.95625	20.2		24.20625	21.2
	19.037499999999998	20.2		23.593749999999996	21.6
	19.08125	20.1		22.76875	22.2
	18.9625	20.7		23.068749999999998	23.4
	18.8625	21.7		23.625	23.3
	18.1875	22		22.675	25.3
	18.73125	21.6		22.6125	23.1
	18.962500000000002	22.1		23.375	24.2
	19.306250000000002	22.2		23.60625	23.3
	19.868749999999995	22.1		23.41875	24
	20.14375	22.6		23.318749999999998	25.6
	20.31875	22.7		23.643749999999997	25.7
	19.80625	22.9		23.874999999999996	24.1
	19.831249999999997	22		23.46875	22.4
	20.262500000000003	22.4		24.025	24.5
	20.78125	22.1		24.162499999999998	25.2
	21.112499999999994	22.6		24.60625	24.7
	20.36875	23.2		24.568749999999998	25.9
	19.787500000000005	23.7		23.6	26.2
	19.84375	21		23.456249999999997	22.9
	20.325	22.6		23.806249999999995	25.2
	21.06875	23.2		24.54375	26.2
	21.087500000000006	23.2		24.66875	25.2
	20.8875	23.5		24.88125	25.4
	20.89375	23.6		25.10625	26.4
	20.787499999999998	23.9		25.424999999999997	26.9
Apr.	20.69375	24.2		25.25	26.8
	21.1125	23.7		24.9625	26.2
	21.418750000000003	23.8		25.35	26
	22.31875	24.7		25.65	26.4
	22.425000000000004	24.9		25.793749999999992	27.3
	22.799999999999997	24.6		25.956249999999997	26
	22.587500000000002	24.5		25.94375	27
	22.237499999999997	24.1		26.0125	25.9
	22.375	23.4		25.66875	27.9
	22.89375	19.6		25.737499999999997	21.8
	22.606250000000003	21		25.825000000000003	24.1
	22.268750000000004	22.7		25.768749999999997	24.8
	22.356250000000003	23.2		25.993750000000002	24.9
	22.831249999999997	23.7		26.206250000000004	26.7
	22.900000000000002	20.8		26.693749999999998	26.2
	22.912499999999998	20.1		26.29375	22.6
	22.750000000000004	22.1		26.393749999999994	24
	22.662500000000005	23.4		26.006249999999998	25.4
	22.981250000000003	22.6		26.274999999999995	27.7
	23.51875	21.1		26.768749999999997	23.1
	23.656249999999996	22		27.087500000000002	23.6
	24.025000000000006	22.7		27.025	25.1
	24.075	23.8		27.043750000000003	25.6
	24.20625	24.2		27	27
	24.450000000000003	22.6		27.506249999999998	23.7
	24.587500000000002	22.7		27.59375	25
	24.206250000000004	23.2		27.549999999999997	26.8
	24.281249999999996	24.5		27.4375	26.6
	24.5625	24.9		27.5	26.9
	24.799999999999997	25.5		27.65	27.6
May	24.89375	24.6		27.65625	27.4
	24.731250000000003	23.2		28	24
	24.793750000000003	23.6		28.081249999999997	25.2
	25.287499999999998	24.8		28.168750000000003	25.9
	25.306250000000002	24.9		28.28125	26
	25.362499999999997	24.2		28.706249999999997	25.8
	25.41875	25.1		28.431249999999995	26.2
	25.61875	25.7		28.4125	28.3
	25.212500000000002	25.9		28.30625	27.8
	24.824999999999996	26.6		28.0375	29
	25.08125	26.5		27.925000000000004	29.2
	25.406250000000004	26.7		28.481249999999996	28.5
	25.762500000000006	26.7		28.837500000000006	29.8
	26.156249999999996	26.6		29.143750000000004	28.6
	26.037500000000005	27.1		28.85	29.5
	25.881250000000005	25.8		28.837499999999995	29
	25.900000000000002	25.7		29.118750000000006	27.1
	26.187500000000004	26.3		29.168749999999996	29.2
	26.406250000000004	27.2		29.374999999999996	30
	26.606250000000003	27.3		29.55	29.2
	26.537499999999998	27.7		29.262500000000003	29.8
	26.275	28.2		29.231249999999996	31.5
	26.38125	28.4		29.200000000000003	31.5
	26.43125	28.7		29.062500000000004	31.1
	26.606249999999996	28.2		29.23125	30.3
	26.75625	25.6		29.4875	27.9
	26.88125	24.2		29.743750000000002	26.5
	26.581249999999997	24.1		29.674999999999994	26.6
	26.412499999999998	25.6		29.425000000000004	28.1
	26.50625	26.7		29.56875	29.4
	26.637500000000003	27.1		29.487499999999997	28.2
Jun.	26.724999999999998	25.7		29.3375	27.3
	26.887499999999996	25		29.1875	26.2
	26.7875	25.9		29.20625	26.6
	27.106249999999996	26.2		29.587500000000002	26.9
	27.437499999999996	26.9		30.0875	28.2
	27.531249999999996	26.9		30.381249999999998	29.7
	27.537499999999998	27.3		30.28750000000001	29.5
	27.362500000000004	26.9		29.83125	29
	27.206250000000004	27.4		29.800000000000008	29.4
	27.062499999999996	27.9		29.756249999999998	30.8
	26.9625	28.1		29.900000000000002	30
	27.137500000000003	28.2		29.987500000000004	30.1
	27.425000000000004	28.2		30.268749999999994	30
	27.599999999999998	27.8		30.174999999999997	29.5
	27.59375	27.4		30.275000000000006	30
	27.499999999999996	27.3		30.356250000000006	29.6
	27.437499999999996	27.2		30.093750000000004	29.5
	27.51875	27.9		29.837500000000002	29.9
	27.581249999999997	27.6		30.006249999999994	29.4
	27.581250000000004	27.5		30.299999999999997	28.6
	27.7875	27.5		30.437500000000004	29
	27.506249999999998	27.2		30.337499999999995	28.3
	27.35	27		30.168749999999996	27.8
	27.625	26.7		30.462500000000002	29.3
	27.5125	26.7		30.556250000000006	28.5
	27.581249999999997	27.1		30.8375	29.9
	27.50625	26.9		30.85625	31.3
	27.637499999999996	27.6		30.8	30.2
	27.51875	27.7		30.662499999999998	30.4
	27.743750000000002	26.1		30.825000000000003	27.8
Jul.	27.73125	25.7		30.874999999999996	27.4
	27.506249999999994	26.6		30.656249999999996	28.4
	27.51875	27.3		30.406249999999996	29.5
	27.49375	27.4		30.44375	29.7
	27.231249999999996	27.2		30.14375	29.6
	27.1875	27.5		29.90625	28.4
	27.400000000000002	27		30.374999999999996	29.3
	27.299999999999997	27.2		30.837500000000002	29
	27.581250000000004	27.1		30.5375	29.1
	27.549999999999994	27.3		30.743750000000002	29.6
	27.64375	27		30.993750000000002	29.1
	27.65625	25.3		30.956250000000004	27.1
	27.500000000000004	25.8		30.643749999999997	27.5
	27.693749999999998	25.4		30.843750000000004	28.2
	27.562499999999996	25.4		30.9	26.6
	27.45625	26.3		31.131249999999994	28.6
	27.487499999999997	25.4		30.5375	26.8
	27.443750000000005	24.8		30.706250000000004	26.1
	27.31875	25.1		30.950000000000003	26.1
	27.237499999999997	24.7		30.2625	27
	27.293750000000003	26.3		30.406250000000004	28.1
	27.462500000000002	26.4		30.618750000000006	29.6
	27.237499999999997	26.3		30.531250000000004	29.8
	27.6375	26.5		31.1	30.2
	27.91875	27.7		31.362499999999997	33
	27.8875	28.8		31	33.9
	27.793749999999996	28.8		30.593750000000004	32.1
	27.543750000000003	28.3		30.05625	32.3
	27.525	28.7		30.450000000000003	31.6
	27.06875	27.7		30.106250000000003	30.6
	27.137499999999996	27.2		30.000000000000004	28.3
Aug.	27.325		27.9	29.99375		30.3
	27.362499999999997		28.1	30.35		31.1
	27.2875		28	29.8		30.6
	27.087500000000002		27.4	29.95625		29.7
	27.062500000000004		27.3	29.912499999999998		30.5
	27.143749999999997		27.6	30.15		31.1
	27.2875		25.7	30.762499999999996		28
	27.306250000000002		25.9	30.88125		29.2
	27.2625		26.9	30.606249999999996		29
	27.21875		27.3	31.068749999999994		31.1
	27.34375		27.4	30.806250000000002		30.8
	27.3		27.3	30.706249999999997		30.6
	27.0625		27.1	30.6375		30.7
	26.90625		27.1	30.587500000000002		30.9
	27.043750000000003		27.1	30.793750000000003		30.6
	27.112500000000004		27.2	30.44375		30.5
	26.962500000000002		27	30.387499999999996		30.2
	26.900000000000002		26.9	29.825000000000003		30
	26.825		26.8	30.087500000000006		30.1
	26.8375		26.9	30.162500000000005		30.2
	27.031250000000004		27.1	30.400000000000006		30.4
	27.118750000000002		27.2	30.318749999999998		30.4
	26.96249999999999		27	30.46875		30.3
	27.06875		27.3	29.849999999999998		30
	26.900000000000002		26.8	29.63125		29.8
	26.61875		26.7	29.81875		29.8
	26.75625		26.8	29.7875		29.8
	26.725		26.7	30.137499999999996		30.1
	26.862499999999997		26.9	30.487499999999997		30.6
	26.887500000000003		26.9	30.437499999999996		30.4
	26.8625		26.7	30.5		30.2
Sep.	26.606250000000006			30.606250000000003
	26.6375			30.1
	26.80625			30.487499999999997
	26.768749999999997			30.50625
	26.618750000000002			30.631249999999998
	26.29375			29.918749999999996
	26.025000000000002			29.493750000000002
	25.85625			29.374999999999996
	25.856250000000003			29.306249999999995
	25.712500000000002			29.1375
	25.931250000000002			29.175
	26.1375			29.631249999999998
	26.31875			29.818750000000005
	26.356250000000003			30.349999999999998
	26.093750000000004			29.675
	25.98125			29.63125
	25.94375			29.531249999999996
	25.725			29.512499999999996
	25.349999999999998			29.13125
	25.049999999999997			28.993750000000006
	25.23125			29.262500000000003
	25.0625			28.650000000000002
	24.781250000000004			28.94375
	24.96875			28.699999999999996
	24.893750000000004			28.33125
	24.299999999999997			28.29375
	23.743750000000002			27.925
	23.974999999999998			27.862499999999997
	24.1125			27.8375
	24.075000000000003			27.84375
Oct.	23.8375			28.049999999999997
	23.956249999999997			27.51875
	23.6625			27.749999999999996
	23.0625			27.3
	23.156249999999996			27.018749999999994
	22.974999999999998			27.206249999999997
	22.399999999999995			26.675000000000004
	21.862500000000004			26.39375
	22.462500000000002			27.04375
	22.6875			26.593749999999996
	22.793749999999992			26.462500000000006
	22.687500000000004			26.643749999999997
	22.6625			26.337500000000002
	22.29375			26.287500000000005
	22.181250000000002			26.131249999999994
	21.937499999999996			26.10625
	21.750000000000004			26.0375
	21.587499999999995			26.212500000000002
	21.11875			25.6125
	21.431250000000002			25.293749999999996
	21.85			25.231249999999996
	22.050000000000004			25.493750000000002
	22.13125			25.656249999999996
	22.293750000000003			26.337500000000002
	21.481250000000003			25.75
	21.068749999999998			25.512499999999992
	21.46875			25.093749999999996
	21.156249999999996			24.693749999999994
	20.668749999999996			24.60625
	20.256249999999998			24.556250000000002
	20.875000000000004			24.78125
Nov.	21.5875			24.806250000000002
	21.481249999999996			25.11875
	20.812500000000007			25.05625
	20.2375			24.75
	19.6375			23.912499999999998
	20.293750000000003			23.7
	20.3875			23.7125
	19.8375			24.00625
	19.75			24.043750000000003
	19.275			23.30625
	18.374999999999996			22.525
	18.768749999999997			22.637500000000003
	18.08125			22.8875
	17.862499999999997			22.6
	18.75625			23.581249999999997
	18.3375			23.425000000000004
	17.218750000000004			22.15625
	16.36875			21.56875
	16.65			22.00625
	16.80625			21.812500000000004
	16.737499999999997			21.175
	16.631249999999998			21.431250000000002
	16.18125			21.65625
	16.025			21.100000000000005
	16.04375			20.54375
	16.368750000000002			21.21875
	16.78125			21.318749999999998
	16.54375			20.875
	16.325			20.26875
	16.89375			20.631249999999998
Dec.	16.2			20.25625
	14.218749999999998			18.381249999999998
	12.949999999999998			17.7875
	13.4125			18.400000000000002
	14.01875			19.137500000000003
	14.056249999999999			19.10625
	14.8125			19.537499999999998
	15.112499999999999			20.39375
	15.1875			19.693749999999994
	14.90625			19.29375
	14.25			18.943749999999998
	14.881250000000001			19.256250000000005
	14.6875			19.06875
	14.475000000000001			19.593749999999996
	14.26875			19.35
	13.975000000000001			19.29375
	13.019999999999998			19.099999999999998

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

34°C

Highest Temp

9 Aug. 26

12°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthAugust29.91°C

Coldest MonthJanuary15.42°C

Wettest MonthAugust20.86mm

Windiest MonthJuly27.33km/h

Kowloon 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 Kowloon historically?

August is historically Kowloon's hottest month, with average maximum temperatures around 30°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2017-08-22.

2. What is the coldest month in Kowloon historically?

January is Kowloon's coldest month, with average minimum temperatures around 14°C. The all-time record low of 4°C was recorded on 2016-01-25.

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

Kowloon's average annual rainfall is approximately 2161.5mm, based on records spanning 17 years.

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

Kowloon historically records approximately 233.4 rainy days per year. August has the highest number of rain days at an average of 27.4 days.

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

The all-time highest temperature recorded in Kowloon is 36°C on 2017-08-22.

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

The all-time lowest temperature recorded in Kowloon is 4°C on 2016-01-25.

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

Kowloon experiences its strongest winds during December. The historic gust record of 90.4 kph was recorded on 2025-09-24.

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

Usually, Kowloon's humidity peaks in May at around 83.4% and drops to its lowest in December at approximately 66.9%.

Recent Blogs On Weather

See all blogs

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

Kowloon 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

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

Kowloon 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

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