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

Olongapo Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	23.2375	23.4		28.63125	25.5
	23.45625	21.6		28.924999999999997	24.7
	23.468749999999996	20.5		28.55625	24.5
	23.475	20.2		28.7625	24.3
	23.318749999999998	21.1		29.043749999999996	26.7
	23.35625	22		29.218750000000004	27.6
	23.512500000000003	22		29.131249999999998	27.4
	23.35	22.1		28.987499999999997	23.5
	23.212499999999995	21.9		28.799999999999997	24.1
	23.099999999999998	21.9		28.681250000000002	27.5
	22.999999999999996	22.4		28.40625	28.2
	22.924999999999997	21.4		28.424999999999997	27.7
	22.875	22.6		28.53125	27.8
	22.912499999999998	22.8		28.737500000000004	27.8
Jan.	23.03125	23		28.618749999999995	27.1
	22.787500000000005	22.6		28.625	27.6
	22.781249999999996	22.7		28.13125	26.7
	22.956249999999994	23.7		28.24375	28.3
	22.981249999999996	23.8		28.5375	29.2
	22.993750000000002	22.3		28.66875	29.4
	23.0875	22.9		28.993750000000006	29
	23.381249999999998	21.1		28.975	27.3
	23.137499999999996	20.4		28.9875	27.8
	22.975	20.6		28.8	26.7
	22.737499999999997	20.3		28.631249999999998	28.1
	22.831249999999997	20.6		28.31875	28.5
	22.618750000000002	22.7		28.037500000000005	29.5
	22.6	22.7		28.450000000000003	28.3
	22.4	22.7		28.6375	28.2
	22.637500000000003	21		28.512500000000003	28.6
	22.606250000000003	21.6		28.493750000000002	29.2
	22.887499999999996	22.1		29.124999999999996	29
	22.975	22.3		28.881249999999994	28.7
	22.86875	23		28.937499999999996	29.4
	22.88125	22.2		29.281250000000004	27.6
	22.725	21.9		29.53125	29.5
	22.875000000000004	21.2		29.300000000000004	28.8
	23.087500000000006	23.2		29.3625	29.9
	22.987500000000004	23.2		29.237499999999997	25.9
	23.075	21.8		29.512500000000003	26.9
	23.143750000000004	22		29.2875	28.2
	22.918750000000006	22.9		29.5	30
	22.875	23.6		29.324999999999996	28.9
	22.6375	23.5		28.849999999999998	30.3
	23.0375	24.3		29.20625	30.3
Feb.	23.0375	24.2		29.474999999999998	30.8
	23.062499999999996	24		29.418750000000003	31.2
	22.95625	24.3		29.49375	30.9
	23.16875	24.3		29.75	28.7
	22.943749999999998	23.2		29.618750000000002	28.9
	23.06875	22.5		29.331249999999997	30.3
	23.018750000000004	22.1		29.68125	29.3
	23.231249999999996	22.2		29.71875	29.8
	23.543750000000006	22.9		30.15625	30.4
	23.412500000000005	23.6		30.474999999999994	30
	23.6	23.2		30.3125	31.1
	23.581249999999997	23.1		30.0375	29.7
	23.36875	23.8		30.468750000000004	28.7
	23.575	23.1		30.318749999999994	29.1
	23.587500000000002	21.7		30.706249999999997	30.6
	23.79375	23.3		30.337500000000002	30.4
	23.53125	23.6		30.43125	30.4
	23.724999999999998	23.9		30.481250000000003	30.7
	23.48125	22.8		30.681249999999995	31.3
	23.506249999999998	23.4		30.668750000000003	30.3
	23.74375	23.4		30.8625	30.3
	23.76875	24.3		30.3	30.2
	23.79375	23.9		30.33749999999999	29.2
	23.8625	22.8		30.75625	29.5
	23.887499999999996	21.7		30.487499999999994	30.6
	24.01875	21.6		30.624999999999996	29
	23.8625	22		30.468749999999996	28.5
	24.15	19.5		30.99375	27.6
Mar.	24.037499999999998	20.2		30.749999999999996	28.9
	24.243750000000002	20.7		30.693749999999998	29.3
	24.01875	21		30.943750000000005	28.5
	24.06875	22		31.05	29.5
	24.068749999999998	22.2		30.968750000000004	29.5
	24.062499999999996	21.4		31.362500000000004	29.6
	24.4625	21.9		31.206249999999994	31.1
	24.35625	21.5		31.237500000000004	31
	24.2625	21.5		31.281250000000004	29.8
	24.499999999999996	21.3		31.39375	30.5
	24.537499999999994	21.1		31.5875	29.7
	24.6125	23.3		31.618750000000002	30.5
	24.3	23.6		31.33125	29.8
	24.55	23.5		31.043750000000003	30.1
	24.41875	23.6		31.206250000000004	30
	24.88124999999999	24.1		31.293750000000006	30.5
	24.6125	23.5		31.431250000000002	30.7
	24.650000000000002	22.8		31.437499999999996	30.5
	24.9	22.7		31.3375	31.3
	24.50625	21		31.381249999999998	32.3
	24.593750000000004	22.2		31.693749999999994	30.6
	24.912500000000005	21.2		31.156249999999996	31.3
	25.0625	22.7		31.443749999999998	33.5
	24.9	23.5		31.981250000000003	31.5
	24.825000000000003	23.6		31.56875	31.9
	25.01875	21.3		31.481250000000003	32.3
	25.0625	24		31.53125	31.2
	25.16249999999999	24.4		31.74375	30.9
	25.26875	24		31.4875	31.1
	25.543750000000003	23.7		31.0625	31.5
	25.4375	23.7		31.35	31
Apr.	25.168750000000003	23.5		31.650000000000002	30.1
	25.343750000000004	22.9		31.356250000000003	30.5
	25.59375	23.7		31.225	30.7
	25.575	23.7		31.906249999999996	30.7
	25.8	23.5		31.812500000000004	30.4
	25.7625	24		32.162499999999994	30.7
	26.031250000000004	23.9		32.23125	33.4
	26.0875	23.6		32.287499999999994	33
	26.081249999999997	24.3		32.34375	31.3
	25.962500000000002	24.4		32.1875	32
	26.131249999999998	24.5		32.612500000000004	32.4
	26.056250000000002	25		32.31875	32.8
	25.89375	25		32.506249999999994	33.4
	26.118750000000002	25.7		32.29375	33.9
	26.131249999999994	25.5		32.1125	33.7
	26.193750000000005	25.2		32.10625	33.3
	26.349999999999998	24.5		32.518750000000004	33.1
	26.462499999999995	24.8		32.8125	34.1
	26.731250000000003	24.6		32.70625	33.5
	26.706250000000004	25.3		32.59375	33.8
	26.537500000000005	25.4		32.587500000000006	34.1
	26.656249999999996	25.8		32.36875	33.2
	26.59375	25.6		32.518750000000004	33.8
	26.762500000000003	25.2		32.26875	34
	26.712500000000002	25.7		31.756249999999998	34.5
	26.781250000000004	25.8		31.8	33.5
	26.743750000000002	25.7		32.025000000000006	32.9
	26.737499999999997	26.6		32.06875	32.1
	26.662500000000005	26.3		32.1	32
	26.868750000000002	27.5		32.38125	32.2
May	26.681250000000002	26.3		32.28125000000001	32
	26.818749999999994	25.6		32.1625	31.9
	27.05625	25		31.974999999999998	33.1
	27.1375	26		31.943749999999998	31.6
	26.918750000000003	25.8		31.9625	31.1
	27.075	26.2		31.337500000000002	32.4
	26.925	27		31.225000000000005	33.2
	26.887500000000003	26.8		31.224999999999998	32.8
	27.193750000000005	27.2		31.28125	32.8
	26.89375	26.9		31.575000000000003	32.6
	27.168750000000003	27.1		31.5625	32.2
	27.262500000000003	26.7		31.4125	31.5
	26.987499999999994	26.3		31.437500000000004	32.1
	27.175	27		31.3125	31.6
	27.2	25.7		31.0625	31.8
	27.125	26.8		31.081250000000008	32.2
	27.049999999999997	27		31.450000000000003	31.3
	27.16875	25.7		31.318749999999998	29.2
	27.193750000000005	25.8		31.081250000000004	27.7
	27.193749999999998	24.3		30.931250000000002	26.4
	27.106249999999992	25.7		30.9875	27
	26.9375	25.7		31.175000000000004	28.8
	27.025000000000002	25.5		31.106249999999996	28.9
	27.081249999999997	24.9		31.025000000000006	29.9
	27.018750000000004	25.8		30.612499999999997	29.5
	26.768749999999997	25.9		30.11875	29.8
	26.73125	26.7		29.837500000000002	31
	26.556250000000002	26.3		29.537499999999994	31.2
	26.7125	26.2		30.000000000000004	31.1
	26.631249999999998	25.2		29.875	30.1
	26.474999999999998	25.8		30.256249999999998	30.5
Jun.	26.625	25.9		30.5625	30.8
	26.606250000000003	25.4		30.46875	30.6
	26.63125	25.4		30.393749999999997	30.9
	26.756249999999998	25.6		30.368749999999995	32.3
	26.643749999999997	25.9		30.043750000000003	32.1
	26.7625	25.9		29.96875	32
	26.48125	26		29.806250000000002	31.4
	26.3625	25.9		29.68125	30.7
	26.293750000000003	26.5		29.90625	30.6
	26.368749999999995	26.5		29.925	28.6
	26.568750000000005	25.9		30.225	29.6
	26.406249999999996	26.1		30.481249999999996	29.7
	26.15625	25.1		29.95625	29.4
	26.062500000000004	26		29.98125	29.5
	26.118750000000002	25.6		29.73125	30.3
	26.056249999999995	25.4		29.231250000000003	28.7
	25.937499999999996	25		29.568750000000005	30.8
	26.15	25.2		30.175	28.3
	26.41875	25.2		30.0875	31.1
	26.243750000000002	24.8		29.893749999999997	31
	25.974999999999998	25.4		29.599999999999998	30.8
	26.04375	25.6		29.668750000000003	30.3
	26.106249999999992	25.3		29.912499999999998	30.4
	26.25625	24.4		30.056250000000002	30.6
	26.04375	26.2		29.424999999999997	29.7
	26.08125	26.3		29.40625	28.3
	26.05	25.7		29.3375	27.6
	26.15625	24.9		29.18125	26
	26.025000000000002	25.2		29.0625	27.8
	25.968749999999996	25.8		29.125	29.4
Jul.	26.0625	25.6		29.381249999999998	29.9
	26.0625	25.2		29.275000000000006	30
	25.95	24.9		29.106250000000003	29.5
	26.1	25.8		29.293750000000006	29.4
	25.787499999999998	25.7		29.125	29.8
	25.931250000000002	25.4		29.41875	30.2
	25.85625	25.1		29.16875	29.8
	25.74375	25.2		29.018750000000004	30
	25.75	24.8		28.649999999999995	30.1
	25.793749999999996	25.6		28.48125	28.2
	25.756249999999998	24.6		28.650000000000002	27
	25.831249999999997	25		28.7125	26.7
	25.89375	25.3		28.74375	27.6
	25.999999999999996	25.1		28.58125	28.8
	25.9375	24.1		28.587500000000006	28.2
	25.9	23.8		28.549999999999994	28.7
	25.9625	24.9		28.35625	29.8
	25.84375	25		28.48125	29.8
	25.981250000000003	25.4		28.481250000000003	29.5
	25.712500000000002	23.3		28.531250000000004	25
	25.912499999999994	25.1		28.75	26.2
	26.050000000000004	25.5		28.974999999999998	26.8
	25.98125	25.7		28.824999999999996	26.5
	25.8125	25.2		28.475	26.9
	25.937499999999996	25.7		28.39375	27.5
	25.85	25.5		28.725	27.3
	25.98125	26.6		28.94375	27.9
	26.012500000000006		26	29.2		27.7
	25.93125		26.1	29.312500000000004		28.5
	25.962500000000002		25.6	29.21875		27.1
	25.881249999999998		25.2	29.4125		27.8
Aug.	26.03125		26.3	29.318749999999998		28.7
	26.124999999999996		26.1	29.29375		27
	26.124999999999996		24.8	29.049999999999997		26.7
	25.91875		24.9	28.874999999999996		25.8
	25.931250000000002		25.1	29.468750000000004		26
	26.131250000000005		26.1	29.21875		29.2
	25.925		26	29.0875		29.1
	25.737499999999997		25.8	28.525000000000006		28.8
	25.762500000000003		25.8	28.556250000000002		28.6
	25.731249999999996		25.8	28.718749999999996		28.7
	25.781249999999996		25.7	29.075		29
	25.650000000000006		25.8	28.79375		28.9
	25.581250000000004		25.7	28.75		28.6
	25.9375		25.8	28.931249999999995		28.9
	25.606249999999996		25.6	28.843750000000007		28.9
	25.56875		25.7	28.643750000000004		28.9
	25.674999999999997		25.7	28.812500000000004		28.8
	25.63125		25.5	28.79375		28.7
	25.70625		25.8	28.718749999999996		28.6
	25.80625		25.8	28.6		28.6
	25.731249999999996		25.9	28.806250000000002		28.7
	25.56875		25.5	28.6375		28.5
	25.549999999999997		25.5	28.84375		29
	25.543750000000003		25.6	29.28125		29.3
	25.668750000000003		25.7	29.618750000000002		29.5
	25.556250000000002		25.5	29.525		29.2
	25.537499999999998		25.6	29.3625		29.2
	25.5125			29.025000000000002
	25.71875			29.1
	25.799999999999997			29.36875
	25.65625			28.874999999999996
Sep.	25.56875			28.78125
	25.5125			28.812500000000004
	25.431250000000002			28.949999999999996
	25.475			29.174999999999997
	25.306250000000002			28.456249999999997
	25.425			28.443749999999998
	25.362499999999997			28.818749999999998
	25.35625			29.143749999999997
	25.531249999999996			29.0125
	25.49375			29.4125
	25.631249999999998			29.54375
	25.575000000000003			29.418749999999996
	25.556249999999995			29.0875
	25.612500000000004			29.08125
	25.568749999999998			29.081250000000004
	25.693750000000005			29.493750000000002
	25.550000000000004			29.2625
	25.4875			28.90625
	25.418750000000003			29.049999999999997
	25.406249999999996			29.393749999999997
	25.26875			29.6375
	25.275000000000002			29.73125
	25.23125			30.0875
	25.23125			29.537499999999998
	25.125			29.38125
	25.449999999999996			29.562499999999993
	25.54375			29.449999999999996
	25.337500000000002			29.1125
	25.11875			29.01875
	25.037499999999998			29.118750000000002
Oct.	25.143749999999994			29.575
	25.05625			29.606250000000003
	25.05			29.462500000000002
	25.0375			29.474999999999994
	25.0625			29.406249999999996
	25.300000000000004			29.475
	25.174999999999997			29.118750000000002
	25.06875			29.568749999999998
	25.131250000000005			29.450000000000003
	24.8625			29.225000000000005
	25			29.450000000000003
	24.81875			29.656250000000004
	24.793749999999996			29.549999999999997
	24.75			29.468750000000004
	24.8125			29.443749999999998
	24.80625			29.2125
	24.8			29.45625
	24.825000000000006			29.118750000000002
	24.762500000000003			28.981249999999996
	24.60625			29.41875
	24.775			29.725
	24.925			29.6875
	24.812499999999996			29.512500000000003
	24.599999999999998			29.50625
	24.71875			29.1375
	24.81875			29.39375
	24.75625			29.243750000000002
	24.73125			29.65
	24.806250000000006			29.456249999999997
	24.706249999999997			29.349999999999998
	24.624999999999996			29.6875
Nov.	24.756249999999998			29.625000000000007
	24.712500000000002			29.80625
	24.881249999999994			30.024999999999995
	24.668750000000006			29.537499999999998
	24.7625			29.75
	24.443749999999998			29.731249999999996
	24.625			29.60625
	24.44375			29.737500000000004
	24.493750000000002			29.812500000000004
	24.831250000000004			29.987499999999994
	24.71875			29.76875
	24.468750000000004			29.74375
	24.3625			29.8125
	24.5625			29.693749999999994
	24.737499999999997			29.656249999999996
	24.381249999999998			29.625
	24.393749999999997			29.9125
	24.381250000000005			29.69375
	24.33125			29.481250000000003
	24.487499999999997			29.66875
	24.3375			29.65
	24.25			29.40625
	24.03125			29.593749999999996
	24.268749999999997			29.22500000000001
	24.299999999999997			29.393750000000004
	24.24375			29.474999999999998
	24.343749999999996			29.343750000000004
	24.38125			29.474999999999998
	24.593750000000004			29.56875
	24.468749999999996			29.400000000000002
Dec.	24.325			29.456249999999997
	24.106250000000003			29.287499999999998
	24.24375			28.993749999999995
	23.91875			28.45
	24.025000000000002			28.60625
	23.84375			28.818749999999998
	24.04375			29.025000000000002
	23.937499999999996			28.74375
	23.73125			28.912499999999998
	23.862499999999997			29.15
	23.806250000000002			29.000000000000004
	23.79375			28.575
	23.84375			28.462499999999995
	23.662499999999998			28.49375
	23.631250000000005			28.375
	23.59375			28.656250000000004
	23.6			29.080000000000002

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

35°C

Highest Temp

9 May 26

20°C

Lowest Temp

14 Mar. 26

Seasonal Breakdown

Hottest MonthMay32.68°C

Coldest MonthJanuary21.95°C

Wettest MonthAugust41.83mm

Windiest MonthAugust27.9km/h

Olongapo 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 Olongapo historically?

May is historically Olongapo's hottest month, with average maximum temperatures around 32°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2022-05-08.

2. What is the coldest month in Olongapo historically?

January is Olongapo's coldest month, with average minimum temperatures around 23°C. The all-time record low of 20°C was recorded on 2026-03-14.

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

Olongapo's average annual rainfall is approximately 2727.9mm, based on records spanning 17 years.

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

Olongapo historically records approximately 269.1 rainy days per year. July has the highest number of rain days at an average of 30.7 days.

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

The all-time highest temperature recorded in Olongapo is 36°C on 2022-05-08.

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

The all-time lowest temperature recorded in Olongapo is 20°C on 2026-03-14.

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

Olongapo experiences its strongest winds during January. The historic gust record of 60.8 kph was recorded on 2024-10-24.

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

Usually, Olongapo's humidity peaks in August at around 82.1% and drops to its lowest in April at approximately 71.1%.

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

Olongapo Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

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Yearly Summary 2026

Seasonal Breakdown

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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

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