Petaling Jaya Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Petaling Jaya Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	23.225	22.8		29.893749999999997	29.4
	23.343749999999996	22.7		29.893749999999997	28.7
	23.374999999999996	21.4		29.637500000000003	26.2
	23.21875	20.9		29.86875	30.9
	23.318750000000005	21.5		30.325000000000003	31.2
	23.418749999999996	23.2		30.756250000000005	30.8
	23.331250000000004	23.4		30.40625	30.7
	23.506249999999998	22.5		30.08125	31.7
	23.28125	21.1		30.65	28.6
	23.331249999999997	21.5		30.31875	30.4
	23.206250000000004	21.5		29.8875	30.3
	23.03125	21.4		30.125	31.4
	23.043749999999996	21.7		30.03125	30
	23.025000000000002	21.8		30.537499999999998	30.1
Jan.	22.993750000000002	22.1		30.450000000000006	30.1
	23.09375	22.1		30.537499999999998	30.4
	23.05	22.3		30.850000000000005	30.7
	22.9875	22		30.65	29.9
	22.85	21.4		30.281249999999996	29.5
	22.999999999999996	21.4		30.400000000000006	31.2
	23.056250000000002	21.6		30.512500000000003	30.2
	23.1875	21		30.606250000000003	30.3
	23.081250000000004	21.1		30.368749999999995	32.1
	23.11875	20.8		29.85	32.2
	23.04375	21.3		30.381250000000005	31.6
	22.9625	21.7		30.45625	32.4
	22.975	21.6		30.931249999999995	33
	22.943750000000005	22.2		30.525	32.4
	22.775	21.5		30.70625	31.8
	22.86875	21.6		30.875	31.2
	22.912499999999998	21.6		30.706249999999994	30.2
	22.931250000000002	21.4		31.1875	33.1
	22.7625	21.3		31.40625	32.4
	22.974999999999998	20.6		31.306250000000002	32.6
	22.874999999999996	21.7		31.0625	32.3
	22.93125	22.4		31.15625	32.9
	22.956250000000008	22.7		31.16875	28.9
	23.106249999999996	22.3		31.187499999999996	32.1
	22.975	22.2		31.2875	32.6
	23.050000000000004	21.8		31.525	32.2
	23.075	20.9		31.237499999999997	33.3
	22.89375	22.5		31.687499999999996	30.2
	22.956250000000004	22.6		31.774999999999995	29.4
	23.14375	23.7		32	29.8
	23.231250000000003	22.5		31.88125	29.5
Feb.	23.2125	22.5		31.506249999999998	30
	23.09375	22.7		31.762500000000003	29.4
	23.0625	22.8		31.837500000000002	26
	23.218749999999996	22.4		31.61875	29.2
	23.193749999999994	21.7		31.4	29
	23.224999999999998	22.2		31.568750000000005	33.1
	23.199999999999996	23		31.650000000000002	33
	23.28125	22.5		32.006249999999994	31.3
	23.287499999999998	22.3		31.912499999999998	30.7
	23.299999999999997	22.9		31.468749999999996	30.7
	23.262500000000003	23.2		31.94375	30.4
	23.318749999999998	23		31.981249999999996	26.9
	23.450000000000006	21.8		32.087500000000006	31.9
	23.5125	21.9		32.03125	32
	23.612500000000004	23		31.825000000000003	31.2
	23.568749999999994	22.9		31.96875	31.6
	23.706250000000004	23.2		32.01875	30.7
	23.474999999999998	22.8		31.96875	31.1
	23.450000000000003	22.7		32.00625000000001	29.9
	23.38125	22.1		31.787499999999994	29.3
	23.668750000000003	22.3		31.56875	28.2
	23.700000000000003	21.8		31.91875	32.5
	23.650000000000006	22.3		31.96875	33.4
	23.51875	21.7		32.075	32.6
	23.48125	21.6		31.575000000000003	32.8
	23.487499999999997	22.3		31.7625	33.2
	23.4375	22		31.637499999999996	33.5
	23.649999999999995	22		31.875000000000004	33.5
Mar.	23.549999999999997	22.3		32.2125	30
	23.668750000000003	22.2		31.881249999999998	30.2
	23.58125	22.2		32.300000000000004	31.5
	23.762500000000003	22.1		32.43749999999999	31.4
	23.843750000000004	22		31.9375	32.2
	23.83125	22		31.293749999999992	31.8
	23.875	22.7		31.55	32.5
	23.837500000000002	21.7		31.36875	33
	23.893749999999997	21.5		31.53125	33.1
	23.85	22.6		31.556249999999995	32.3
	23.837500000000006	22.8		31.806250000000002	32.8
	23.981250000000003	22.3		31.868750000000002	32.6
	23.91875	22.4		32.681250000000006	31.8
	23.93125	22.4		32.26875	32.9
	23.93125	22.6		31.53125	31.1
	23.9625	22.3		32.00625	29.7
	24.099999999999998	23.4		31.443749999999998	28.2
	24.037499999999998	22.7		31.356250000000003	31.3
	23.91875	22.5		31.5125	32.8
	23.93125	22.1		31.0375	33
	23.900000000000002	22.7		31.668750000000006	32.7
	24.037499999999998	23.3		31.312499999999996	32.9
	23.91875	23.1		31.43125	32.3
	23.981250000000003	22.9		31.4	32.3
	23.75625	23.1		32.0375	32.9
	24.05625	23.6		31.43124999999999	33.4
	23.88125	23.7		31.38125	30.8
	23.956249999999997	23.6		31.39375	32.5
	24.1375	23.6		31.78125	32.4
	24.25	23.2		31.89375	32.9
	24.275	23		31.712500000000002	30.4
Apr.	24.0625	23.4		31.250000000000004	32.8
	23.98125	23.3		31.7375	31.5
	24.1375	22.7		31.793750000000003	32.7
	24.13125	23.3		31.11875	32.3
	24.218750000000004	23.6		31.1875	27
	24.168750000000003	22.6		31.150000000000002	30.5
	24.068750000000005	23.1		31.45	27.5
	24.275	23.1		31.493750000000002	32
	24.231250000000003	22.6		31.437499999999996	33.4
	24.349999999999998	23.2		31.156250000000004	32.4
	24.068749999999998	23.7		31.7	31.4
	24.325	23.5		31.13125	31.4
	24.312500000000004	23.5		30.956249999999997	34
	24.20625	23.4		31.31875	33.5
	24.45625	23.5		31.23125	31.9
	24.475	23.8		31.243749999999995	32.4
	24.199999999999996	23.6		31.18125	31.9
	24.31875	23.3		31.35625	32.6
	24.33125	23.5		30.962499999999995	31.9
	24.406249999999996	23.5		31.29375	30.9
	24.231250000000003	23.4		31.268749999999997	32.3
	24.481249999999996	23.5		31.568750000000005	30.9
	24.643749999999997	23.5		31.356249999999996	31.6
	24.362500000000004	23.6		31.299999999999997	30.4
	24.243749999999995	23.4		31.69375	30.5
	24.53125	23.8		31.506249999999994	30.9
	24.593750000000004	24		31.631250000000005	31.3
	24.550000000000004	24.3		31.1375	30.9
	24.525	24.3		31.6125	30.2
	24.58125	23.6		31.21875	31.3
May	24.56875	23.8		31.575000000000003	29.3
	24.6375	23.5		31.35625	26.8
	24.606249999999996	23.6		31.18125	31.9
	24.5125	24		31.35625	31.1
	24.3	24.1		31.274999999999995	31.9
	24.418750000000003	24.1		31.381249999999998	32.6
	24.581250000000004	24		31.281250000000004	31.3
	24.249999999999996	23.3		31.1	32.4
	24.150000000000002	23.3		31.062500000000004	31.1
	24.2	23.8		31.299999999999997	30.9
	24.325000000000003	23.7		31.568749999999998	32
	24.287499999999998	23.7		31.525000000000002	32.7
	24.337500000000002	24.2		31.3	30.9
	24.456250000000004	23.8		31.743750000000002	33.4
	24.43125	23.8		31.537499999999998	30.7
	24.368749999999995	23		31.724999999999998	31.6
	24.256249999999998	23.9		30.89999999999999	33.2
	24.256250000000005	23.9		31.49375	33.3
	24.26875	23.4		31.35625	32.4
	24.256249999999998	23.8		31.51875	31.9
	24.45	23.9		31.44375	31.2
	24.187499999999996	23.6		31.1875	31.7
	24.099999999999998	24.3		31.287499999999998	33.7
	24.012500000000003	24.6		31.181250000000002	33.2
	24.19375	24.3		31.39375	32.3
	24.406249999999996	23.1		31.281250000000004	30.8
	24.1125	23.9		31.15625	32.1
	24.225	23.4		31.275000000000002	27.5
	24.437500000000004	23.3		31.193749999999998	31.6
	24.306250000000002	23.4		31.350000000000005	30.8
	24.156249999999996	23.1		31.143750000000004	32
Jun.	23.962500000000006	23.2		31.575	30.5
	23.80625	22.9		31.312500000000007	29.7
	24.037499999999998	23		30.912499999999994	28.9
	23.599999999999998	23.1		30.606250000000003	31
	23.575	23.8		31.387500000000003	31.7
	23.99375	23		31.06875	29.6
	23.981250000000003	23.2		31.174999999999997	29.8
	23.90625	22.9		31.19375	29.7
	23.7	23.7		30.825	30.7
	23.575000000000006	23.2		31.443749999999998	31.7
	24.037499999999998	24		31.38125	29.7
	24.05	23.2		31.31875	31.1
	23.875	23.6		31.374999999999996	32.4
	24.037499999999998	23.8		31.500000000000004	32.3
	23.9375	23.2		31.162499999999998	29.4
	23.918750000000003	22.4		31.900000000000002	30.2
	24.08125	23.5		31.21875	31
	23.943749999999998	23.4		31.4375	30.3
	24	24.1		30.781250000000004	30.3
	23.943750000000005	23.6		31.275	31.1
	23.8875	23.6		31.468749999999996	29.9
	23.98125	23.6		31.331249999999997	31.9
	23.956249999999997	23.5		30.9	30.8
	23.71875	22.9		30.45	31.3
	23.71875	24.2		30.95625	30.9
	23.950000000000003	23.9		31.099999999999998	31.4
	23.912500000000005	23.4		31.087500000000006	31
	23.756249999999998	23.4		30.925	31.3
	23.83125	23.3		30.325	30.8
	23.7875	24.2		30.512500000000003	30.3
Jul.	23.86875	24		31.05625	32.6
	23.962499999999995	23.9		31.63125	32.1
	24.137500000000003	23.7		31.387500000000003	30.9
	23.89375	22.7		31.787500000000005	29.1
	24.1125	22.9		31.3375	29.7
	24.01875	23.3		31.6	30.3
	23.943749999999998	22.9		31.987499999999997	30.7
	23.700000000000003	23.1		31.84375	30.1
	24.124999999999996	23.2		31.643749999999994	31.5
	24.118750000000002	23.1		31.90625	32.3
	24.10625	23.5		31.5625	30.5
	24.03125	22.9		32.01875	30.8
	24.118750000000002	23.4		31.681250000000002	28.9
	23.893750000000004	23.3		31.981250000000006	30.4
	24.168750000000003	23.4		31.60625	31.4
	24.35625	23.3		31.599999999999998	31.1
	24.05625	22.7		31.562499999999996	30.8
	24.125000000000004	23.7		31.087500000000006	32
	23.924999999999997	23.2		31.46875	33
	24.075000000000003	23.2		31.337499999999995	33.2
	24.049999999999997	23.3		31.349999999999994	31.8
	24.087500000000002	23.6		30.999999999999996	30.9
	24.00625	24.2		31.193749999999998	32.3
	23.93125	23.5		31.30625	33
	23.937499999999996	24.9		31.39375	31.7
	24.218750000000007	24.5		31.58125	31.3
	24.1	23		31.693749999999998	31.1
	24.01875	23.4		31.218749999999993	30
	24.143749999999997	23.4		31.4	32.8
	24.14375	24.4		31.225	31.7
	24.131249999999994	24.3		31.243750000000002	27.8
Aug.	24.000000000000004	22.8		31.200000000000006	23.9
	23.900000000000006		21.5	31.143749999999997		32.1
	23.900000000000002		23.3	31.025000000000002		32.4
	23.893750000000004		23.8	31.018749999999994		30.4
	24.025		23.6	30.7375		32.1
	23.9125		24.5	30.950000000000003		31.4
	23.6875		24.2	30.4375		31.9
	23.46875		24.1	30.70625		31.1
	23.95		23.4	31.125		33.6
	24.068749999999998		23.7	31.18125		32.6
	23.75625		23.9	30.831249999999997		31
	23.975		24	31.000000000000004		30.7
	23.9625		23.9	31.049999999999997		31.1
	23.625		23.8	30.856249999999996		30.5
	23.849999999999994		23.8	30.725		30.8
	23.99375		23.7	31.075		30.8
	23.762499999999996		23.9	30.950000000000003		31
	23.856250000000003		23.8	30.987500000000004		30.8
	23.8125		23.8	30.675000000000004		30.8
	23.96875		24	30.737499999999997		30.8
	23.9875		24	31.1875		30.9
	24.14375		24	30.29375		30.3
	23.73125		23.6	30.64375		30.3
	23.918750000000003		24	30.36875		30.5
	23.8375		23.9	30.675		30.7
	23.712500000000002		23.4	30.50625		30.5
	23.71875		23.7	30.6		30.6
	23.7625		23.8	30.4625		30.6
	23.65		23.6	30.75625		30.6
	23.831250000000004		23.8	30.76875		30.8
	23.70625		23.5	30.5		30.4
Sep.	23.731250000000003		23.9	30.1625		30.5
	23.79375			30.925
	23.69375			30.95625
	23.862499999999997			30.93125
	23.999999999999996			31.212499999999995
	23.825			30.90625
	23.8625			30.9375
	23.775			30.937500000000007
	23.9875			31.075000000000003
	24.012500000000003			31.806250000000002
	23.8875			30.9625
	23.81875			31.181250000000002
	23.874999999999996			30.68125
	23.599999999999998			31.35625
	23.8625			31.537499999999994
	24.006249999999998			30.937499999999996
	23.906250000000004			30.974999999999998
	23.98125			30.956250000000004
	23.9625			31.212500000000006
	23.843749999999993			30.231250000000003
	23.775			31.287499999999998
	23.9375			31.037499999999998
	23.987499999999994			30.775
	23.79375			31.10625
	23.912499999999998			31.2625
	24.156250000000004			31.268750000000004
	24.25			31.33125
	24.087499999999995			31.018749999999997
	24.0375			30.95625
	23.974999999999998			31.16875
Oct.	24.187500000000004			31.499999999999993
	24.268749999999997			31.63125
	24.15625			31.624999999999993
	24.03125			31.125000000000004
	24.068749999999998			31.3125
	24.05625			31.068750000000005
	24.537500000000005			31.281250000000004
	24.0375			31.056249999999995
	24.049999999999997			30.250000000000007
	24			30.575
	24.025			30.837499999999995
	24.00625			30.956250000000004
	24.075			30.55
	23.80625			31.218749999999996
	24.012500000000003			30.837500000000002
	23.99375			30.61875
	23.9625			30.531249999999993
	23.856250000000003			30.412499999999998
	23.83125			30.125000000000004
	24.093749999999996			30.143749999999997
	24.01875			30.356250000000003
	24.05			29.874999999999993
	23.8875			29.99375
	23.781249999999996			30.06875
	23.762499999999996			30.0125
	23.862499999999997			30.35625
	23.843749999999996			30.30625
	24.018750000000004			30.243750000000002
	23.99375			30.1125
	23.799999999999997			30.575000000000006
	23.824999999999996			30.318749999999994
Nov.	24.00625			29.900000000000002
	23.737499999999997			30.625
	23.86875			30.4125
	23.83125			30.4625
	23.775000000000002			29.8875
	23.8125			30.412499999999998
	23.8625			30.20625
	23.93125			29.931250000000002
	23.781250000000004			29.775000000000002
	23.7375			29.743750000000002
	23.825			29.95
	23.76875			29.693749999999998
	23.725			29.631249999999998
	23.69375			29.75
	23.556250000000002			29.925000000000004
	23.568750000000005			29.775000000000002
	23.69375			30.2625
	23.675			29.49374999999999
	23.537499999999998			29.58125
	23.63125			29.525
	23.593749999999996			29.987499999999997
	23.58125			30.474999999999994
	23.46875			30.912499999999998
	23.606250000000003			30.4125
	23.55625			30.26875
	23.43125			29.562500000000004
	23.381249999999998			29.618750000000002
	23.337500000000002			29.812499999999993
	23.406249999999996			29.662500000000005
	23.306249999999995			29.750000000000007
Dec.	23.268749999999997			29.762500000000003
	23.38125			29.85625
	23.349999999999998			30.012500000000003
	23.3625			29.425
	23.35			29.431250000000006
	23.424999999999997			29.48125
	23.46875			29.874999999999996
	23.431250000000002			29.69375
	23.425			29.85625
	23.5			30.050000000000004
	23.437500000000004			29.674999999999997
	23.2125			29.5875
	23.106250000000003			30.025
	23.2125			30.150000000000002
	23.175			29.637499999999996
	23.100000000000005			29.999999999999996
	23.206666666666667			30.119999999999997

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

34°C

Highest Temp

27 Apr. 26

21°C

Lowest Temp

3 Feb. 26

Seasonal Breakdown

Hottest MonthApril31.98°C

Coldest MonthJanuary21.76°C

Wettest MonthJune9.21mm

Windiest MonthJune10.18km/h

Petaling Jaya 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 Petaling Jaya historically?

March is historically Petaling Jaya's hottest month, with average maximum temperatures around 32°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2014-03-11.

2. What is the coldest month in Petaling Jaya historically?

January is Petaling Jaya's coldest month, with average minimum temperatures around 23°C. The all-time record low of 20°C was recorded on 2015-02-02.

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

Petaling Jaya's average annual rainfall is approximately 3157.3mm, based on records spanning 17 years.

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

Petaling Jaya historically records approximately 334.5 rainy days per year. November has the highest number of rain days at an average of 29.5 days.

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

The all-time highest temperature recorded in Petaling Jaya is 37°C on 2014-03-11.

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

The all-time lowest temperature recorded in Petaling Jaya is 20°C on 2015-02-02.

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

Petaling Jaya experiences its strongest winds during August. The historic gust record of 20.9 kph was recorded on 2019-01-03.

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

Usually, Petaling Jaya's humidity peaks in December at around 83.004% and drops to its lowest in August at approximately 74.5%.

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Petaling Jaya Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Petaling Jaya 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

Petaling Jaya Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Petaling Jaya 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

Petaling Jaya Historic Weather Records
Analyse hottest, coldest, windiest & wettest days